system

Abstract

Provide a system. 【Solution means】Means for monitoring the power state of the base station, Means for counting the number of base stations with power outages, Means for determining a wide-area power outage from the number of base stations with power outages, Means for transmitting standby and fuel procurement instructions to the operator in case of a disaster, Means for tracking the positions of active users within the disaster area, Means for determining the optimal base station restoration order based on user density, Means for updating the restoration status in real time, Means for creating an optimal material supply plan, A system including means for notifying the operator of an action plan.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the event of a disaster, when widespread power outages and communication disruptions occur, it takes time to restore the mobile communication network, and there is a problem that residents' emergency reporting and information collection means are restricted. In conventional systems, the response is mainly based on prior plans, and there is also a problem that they cannot fully respond to real-time situation changes. As a result, rapid communication restoration is required, but it is necessary to solve the problem that it is difficult to optimize personnel allocation and material procurement.

Means for Solving the Problems

[0005] To solve the above problems, the present invention provides the following means: a system including means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, and means for notifying operators of the action plan. This makes it possible to achieve rapid and efficient restoration of mobile communication networks in the event of a disaster.

[0006] A "base station" is equipment that relays wireless communications within a mobile communication network.

[0007] "Power status" refers to information indicating whether the base station is receiving power normally or if there is a power outage.

[0008] "Monitoring" is the act of continuously observing specific states or information within a system to check for any abnormalities.

[0009] A "power outage" refers to a state in which electrical equipment stops working due to the interruption of the power supply.

[0010] "Counting" is the operation of counting the number of items that meet a specific condition.

[0011] "Wide-area power outage" refers to a situation where many power sources are simultaneously shut down in a specific, large area.

[0012] A "disaster" is an event that causes large-scale damage or disruption due to natural phenomena or man-made factors.

[0013] "Operators" refers to personnel responsible for maintaining, managing, and restoring the mobile communication network.

[0014] "Waiting" refers to a state in which a specific instruction has been received and the action based on that instruction is awaited.

[0015] "Fuel procurement" refers to the act of securing the necessary energy sources.

[0016] "Active user" refers to a user who is in a state of being connected to a mobile communication network.

[0017] "Location" refers to information indicating a specific place or coordinates.

[0018] "Tracking" refers to the act of continuously observing the movement and state of a specific target and recording its changes.

[0019] "User density" refers to the number of users existing within a specific area.

[0020] "Recovery priority" refers to information indicating the priority order when performing recovery work.

[0021] "Real-time" refers to a state where information processing and communication are performed instantaneously and the results are immediately reflected.

[0022] "Material supply plan" refers to a plan for appropriately distributing and supplying the materials necessary for recovery work.

[0023] "Action plan" refers to a plan including the procedures and schedule for taking specific actions.

[0024] "Notification" refers to the act of transmitting information or instructions to a specific target.

Brief Description of the Drawings

[0025] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4]This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0026] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0027] First, let's explain the terminology used in the following explanation.

[0028] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0029] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0030] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0031] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0032] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0033] [First Embodiment]

[0034] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0035] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0036] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0037] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0038] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0039] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0040] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0041] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0042] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0043] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0044] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0045] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0046] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. The specific operation of this system is described below.

[0047] System Overview

[0048] First, the system is centered around a server. The server monitors the commercial power status of each base station in real time and compiles power outage information. If the number of base stations experiencing power outages exceeds a certain threshold, the server determines that there is a widespread power outage and initiates the disaster response process.

[0049] Commercial power supply monitoring and disaster detection

[0050] The server periodically receives power status data from each base station and counts the number of base stations experiencing power outages. For example, if 50 base stations in the Tokyo area experience simultaneous power outages, the server determines that this is a widespread power outage.

[0051] Instructions to the operator

[0052] If a disaster is detected, the server issues instructions to operators in the affected area and surrounding areas to stand by and procure fuel. Terminals play the role of delivering these instructions to operators. Specifically, a notification such as "Please begin standing by and preparing to procure fuel" is sent to the operators' mobile devices.

[0053] Active user tracking and location estimation

[0054] Next, the server tracks active users within the affected area. It analyzes location information periodically transmitted from user devices connected to the mobile network in the affected area to determine the user's current location and movement trajectory. This helps identify areas with high user density.

[0055] Determining the priority of base station recovery

[0056] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku.

[0057] Real-time updates on recovery status

[0058] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the server immediately updates the data and issues the next restoration instruction.

[0059] Notification of material supply plan and action plan

[0060] The server centrally manages information on remaining fuel, material stocks, and operator shifts necessary for recovery operations. Based on this, the server creates an optimal material supply plan and notifies operators of a specific action plan. The terminal then delivers the details of that plan to the operators.

[0061] Specific example

[0062] 1. Disaster Occurrence and Detection:

[0063] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0064] 2. Instructions for operators:

[0065] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[0066] 3. User tracking and location estimation:

[0067] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0068] 4. Determining the priority for base station restoration:

[0069] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[0070] 5. Update on recovery status:

[0071] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[0072] 6. Notification of material supply plan:

[0073] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[0074] conclusion

[0075] This invention provides a system that supports the rapid and efficient recovery of mobile communication networks during disasters through such a process. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[0076] The following describes the processing flow.

[0077] Step 1:

[0078] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[0079] Step 2:

[0080] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[0081] Step 3:

[0082] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[0083] Step 4:

[0084] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[0085] Step 5:

[0086] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[0087] Step 6:

[0088] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[0089] Step 7:

[0090] The server generates a list of base stations to prioritize for recovery, taking into account user density and the location of critical facilities. This list is sorted according to priority.

[0091] Step 8:

[0092] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[0093] Step 9:

[0094] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[0095] Step 10:

[0096] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[0097] Step 11:

[0098] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[0099] Step 12:

[0100] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0101] (Example 1)

[0102] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0103] In the event of a disaster, there is a need for mobile communication networks to be restored quickly and efficiently. However, there is a lack of effective systems to smoothly carry out each step of the process, such as monitoring the commercial power supply of base stations, aggregating power outage information, and collecting and analyzing user location information. The objective of this invention is to solve this problem and realize the early restoration of communication networks in the event of a disaster.

[0104] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0105] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for collecting user location information within the affected area, means for analyzing the collected location information, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, and means for notifying operators of the action plan. This enables rapid and efficient restoration of the mobile communication network in the event of a disaster.

[0106] A "base station" is equipment used to communicate with mobile devices in a wireless communication network.

[0107] "Power status" refers to information indicating whether or not power is being supplied normally to each base station.

[0108] "Power outage" refers to a state in which the power supply is interrupted, and describes a situation in which a base station is unable to use commercial power.

[0109] "Wide-area power outage" refers to a situation where a certain number of base stations are simultaneously without power, resulting in a large-scale power outage across an entire region.

[0110] "Disaster occurrence" refers to a situation in which the normal operation of communication networks is disrupted due to natural disasters such as earthquakes and typhoons.

[0111] "Operator" refers to the engineers or personnel responsible for managing and operating the communication network.

[0112] "Standby and fuel procurement instructions" refers to instructions given to operators in the event of a disaster to stand by and prepare the necessary fuel.

[0113] "User" refers to individuals or corporations that use mobile communication networks.

[0114] "Location information" refers to data that indicates the current location of the user's device, and is obtained using GPS or similar methods.

[0115] "Element density" is an indicator that shows the proportion of users within a specific area.

[0116] The "base station restoration priority list" is a list indicating the priority order of base stations that should undergo restoration work.

[0117] "Recovery status" refers to information indicating the progress of restoring power and communication functions to base stations.

[0118] "Real-time updates" refers to a data update method that constantly reflects the latest state, rather than static data updates.

[0119] A "material supply plan" refers to a plan for supplying fuel and other materials necessary for recovery work.

[0120] An "action plan" refers to the specific procedures and schedules that operators use to carry out recovery work.

[0121] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. This system consists of multiple components, including servers, terminals, and users. Specific embodiments of this system are described below.

[0122] System Overview

[0123] The server is designed to monitor the power status of base stations and aggregate power outage information. The server receives real-time commercial power status data from each base station, analyzes this data, and counts the number of base stations experiencing power outages. For example, the server receives power supply status (normal / outage) data transmitted from each base station every minute.

[0124] Decision on widespread power outage

[0125] If the number of base stations experiencing power outages exceeds a certain threshold, the server will determine that a widespread power outage has occurred and initiate the disaster response process. For example, if 50 base stations in the Tokyo area experience power outages simultaneously, the server will detect a widespread power outage and determine that a disaster has occurred.

[0126] Instructions to the operator

[0127] If a disaster is detected, the server will issue instructions to operators in the affected area and surrounding areas to stand by and procure fuel. The terminal will then transmit these instructions to the operators' mobile devices. Specifically, the message "Please begin standing by and preparing to procure fuel" will be sent to the operators' mobile devices.

[0128] Tracking Active Users

[0129] The server periodically collects location information from active users within the disaster-stricken area. This location information is transmitted from user devices connected to a mobile network. For example, the server collects GPS data transmitted from user devices every few minutes and analyzes it to determine the user's current location and movement trajectory.

[0130] Determining the priority of base station recovery

[0131] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku. The server uses a GIS system to overlay user density and the locations of critical facilities to determine the priority.

[0132] Real-time updates on recovery status

[0133] While recovery work is underway, the server monitors its progress in real time. Once recovery is complete, the server immediately updates the data and issues the next recovery instruction. For example, when the server receives a recovery completion report, it immediately reflects that information in the database and issues a new recovery instruction to any base stations that have not yet recovered.

[0134] Notification of material supply plan and action plan

[0135] The server centrally manages information on the remaining fuel and materials needed for recovery work and creates an optimal material replenishment plan based on that information. Specifically, it uses a fuel consumption prediction algorithm to calculate the next replenishment time and predicted consumption. The created material replenishment plan is notified to the operator as specific action instructions. The terminal notifies the operator of the "next replenishment time and location".

[0136] Specific example

[0137] 1. Disaster Occurrence and Detection

[0138] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0139] 2. Instructions to the operator

[0140] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[0141] 3. User tracking and location estimation

[0142] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0143] 4. Determining the priority for base station restoration.

[0144] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[0145] 5. Update on recovery status

[0146] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[0147] 6. Notification of Material Supply Plan

[0148] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[0149] Example of a prompt

[0150] "After explaining the situation where a disaster has occurred and 50 base stations are without power, please explain how you collect location information from user terminals in the affected area and determine which base stations should be prioritized for restoration."

[0151] This invention supports the rapid and efficient recovery of mobile communication networks during disasters through these processes. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[0152] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0153] Step 1:

[0154] Power status received

[0155] Input: Commercial power status data transmitted from each base station (every minute)

[0156] Specific operation: The server receives power supply status data (normal / outage) transmitted from each base station every minute.

[0157] Output: List of commercial power status data

[0158] Step 2:

[0159] Summary of power outage information

[0160] Input: List of commercial power status data

[0161] Specific operation: The server analyzes the received data and creates a list of base stations that are experiencing power outages.

[0162] Output: Number of base stations experiencing power outages and a list of those base stations.

[0163] Step 3:

[0164] Decision on widespread power outage

[0165] Input: Number of base stations experiencing power outages

[0166] Specific operation: If the number of base stations experiencing power outages exceeds a certain threshold (e.g., 50 base stations), the server will determine that there is a widespread power outage.

[0167] Output: Widespread power outage flag (True / False)

[0168] Step 4:

[0169] Notification to operators

[0170] Input: Widespread power outage flag (true)

[0171] Specific actions: If a disaster is detected, the server will instruct operators in the affected area and surrounding areas to stand by and procure fuel. Specifically, it will generate a message saying, "Start standing by and prepare to procure fuel," and the terminal will send this message to the operators' mobile devices.

[0172] Output: Instruction message to the operator

[0173] Step 5:

[0174] Location information collection

[0175] Input: Location data from user devices within the disaster-stricken area (every few minutes)

[0176] Specific operation: The server periodically receives location information from active users within the affected area. It collects GPS data transmitted every few minutes from user devices connected to the mobile network.

[0177] Output: List of user location data

[0178] Step 6:

[0179] User location analysis

[0180] Input: List of user location data

[0181] Specific operation: The server analyzes the collected location information to determine the user's current location and movement trajectory. Specifically, it maps each user's location information to identify areas with high user density.

[0182] Output: User density map

[0183] Step 7:

[0184] Determining the priority of base station recovery

[0185] Input: User density map and location information of critical facilities

[0186] Specific operation: The server calculates the recovery priority of each base station based on user density and the location of critical facilities. It uses a GIS system to overlay user density and the locations of critical facilities and determines the priority based on the criteria.

[0187] Output: Base station recovery priority list

[0188] Step 8:

[0189] Real-time updates on recovery status

[0190] Input: Recovery progress data from base station

[0191] Specific operation: The server monitors the progress of the base station's recovery work in real time. Once recovery is complete, the server immediately updates the data in the database and issues the next recovery instruction.

[0192] Output: Latest recovery status data and next recovery instructions

[0193] Step 9:

[0194] Creating a materials supply plan

[0195] Input: Fuel and material remaining quantity information and consumption forecast data

[0196] Specific operation: The server creates a refueling plan based on information about the remaining fuel and materials needed for recovery work. It uses a fuel consumption prediction algorithm to calculate the next refueling time and predicted consumption.

[0197] Output: Material supply plan

[0198] Step 10:

[0199] Notification of action plan

[0200] Input: Material supply plan

[0201] Specific operation: The server notifies the operator of the created material supply plan as specific action instructions. The terminal notifies the operator of the "next supply time and location".

[0202] Output: Action instruction message for operators

[0203] (Application Example 1)

[0204] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0205] Restoring communication networks during disasters requires speed and efficiency, but currently, the inability to properly utilize power outage information and user location data leads to delays in restoration work. In particular, delays in priority restoration in areas with high user density and near critical facilities can reduce the efficiency of information dissemination and rescue operations.

[0206] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0207] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active terminals within the affected area, means for identifying areas with high terminal density based on location information, means for determining the optimal base station restoration order based on terminal density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for sending push notifications to operators' terminals, and means for visually displaying terminal density on a map. This enables rapid and efficient restoration of the communication network in the event of a disaster.

[0208] A "base station" is a wireless communication device used to form a mobile network, and it acts as a relay point for communication with mobile devices.

[0209] "Power status" refers to information indicating whether the base station is receiving power and operating normally, or whether there is a power outage.

[0210] "Number of base stations experiencing power outages" refers to the total number of base stations whose power supply was interrupted during widespread power outages or disasters.

[0211] "Wide-area power outage" refers to a situation where multiple base stations simultaneously lose power supply, and signifies a large-scale blackout area.

[0212] "Operator" refers to technical experts or workers who manage and operate communication networks.

[0213] A "standby and fuel procurement instruction" is a notification issued to operators in the event of a disaster, instructing them to stand by and prepare to procure the necessary fuel.

[0214] "Affected area" refers to the geographical area affected by a disaster.

[0215] "Devices in use" refers to user devices connected to the communication network within the disaster-stricken area.

[0216] "Location information" refers to data on the geographical coordinates of the device's current location.

[0217] "Device density" is an indicator that shows the number of active devices within a certain area, and is also called user density.

[0218] "Base station restoration priority" refers to the order in which base stations should be prioritized for restoration work in order to quickly restore the communication network.

[0219] "Recovery status" refers to information indicating the progress of recovery from power outages or system failures.

[0220] A "materials supply plan" is a detailed plan for procuring and supplying the materials and fuel necessary for recovery work.

[0221] An "action plan" is a plan that includes specific instructions for operators to carry out recovery work and procurement of materials efficiently.

[0222] A "push notification" is a real-time notification message that is automatically sent from a server to the operator's device.

[0223] "Means of visual display" refers to technologies for displaying information in visual formats such as maps and graphs.

[0224] The method for counting the number of base stations experiencing power outages is a method that automatically measures and compiles the number of base stations that are experiencing power outages.

[0225] Modes for carrying out the invention

[0226] This invention is a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. Specifically, it includes a server for monitoring the power status of each base station in real time, aggregating and analyzing power outage information, and a terminal application for providing notifications and action plans to operators. This system operates as follows:

[0227] System Configuration

[0228] hardware

[0229] Server: A high-performance server that collects and analyzes base station power status and user location information.

[0230] Terminal: A smartphone or tablet used by the operator to receive notifications and execute action plans.

[0231] Base station: Wireless communication equipment that forms a mobile network.

[0232] software

[0233] Framework: Flask (server-side web framework)

[0234] Map display library: Folium (Visualization of map information)

[0235] Communication Library: Requests (Data communication between server, base station, and terminal)

[0236] Program Processing Description

[0237] Server Processing

[0238] 1. Monitoring the power status:

[0239] The server periodically receives power status data from the base station and stores it.

[0240] The system counts the number of base stations that have experienced power outages, and if the number exceeds a certain threshold, it determines that a widespread power outage has occurred.

[0241] 2. Notification of instructions to operators:

[0242] When a widespread power outage is detected, the server sends a push notification to the operator's terminal, instructing them to stand by and prepare to procure fuel.

[0243] 3. Tracking user location information:

[0244] The server collects location information of users within the affected area and identifies areas with high terminal density.

[0245] This information is visually displayed on a map, and operators are notified of the optimal base station restoration order.

[0246] 4. Real-time recovery status updates:

[0247] The system monitors the recovery status of each base station in real time and resets recovery priorities according to the progress.

[0248] The server will notify the operator of the material supply plan as needed.

[0249] Terminal processing

[0250] 1. Receiving notifications:

[0251] The operator's terminal receives a push notification from the server and is instructed to stand by and prepare for fuel procurement.

[0252] 2. Implementing the action plan:

[0253] The operator will perform the optimal base station recovery work according to the action plan transmitted from the server.

[0254] The system uses map information displayed on the device as a reference and prioritizes restoring service to areas with high user density.

[0255] 3. Check real-time information:

[0256] The application on the device updates the recovery status in real time and receives instructions for the next course of action.

[0257] The terminal will also notify you of the timing for purchasing necessary supplies and refueling.

[0258] Specific example

[0259] For example, if the user density is high within the affected area, the following notification will be sent to the operator's device:

[0260] "Due to the high user density, please prioritize restoring base stations in this area."

[0261] Example of a prompt

[0262] System role: To support the rapid restoration of communication networks during disasters.

[0263] Key features: Real-time power status monitoring, power outage notifications, user density tracking, recovery priority list generation, and material supply plan notifications.

[0264] Specific example: If the user density is high within the affected area, the operator will be instructed to prioritize the restoration of base stations in that area.

[0265] Technology used: Flask, Requests, Folium

[0266] Implementing such a system will enable the rapid and efficient restoration of communication networks in the event of a disaster.

[0267] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0268] Step 1:

[0269] The server collects power status data from each base station. Specifically, it receives power status information periodically transmitted from each base station and stores it in a database. The input to this step is the power status data from the base stations, and the output is the updated database.

[0270] Step 2:

[0271] The server analyzes the power status data of each base station and counts the number of base stations experiencing power outages. If the number of base stations with power outages exceeds a predetermined number, it is determined to be a widespread power outage. The input for this step is the power status data saved in step 1, and the output is the number of base stations experiencing power outages and the result of the widespread power outage determination.

[0272] Step 3:

[0273] If a widespread power outage is detected, the server sends a push notification to the operator's terminal instructing them to stand by and procure fuel. The notification includes instructions and necessary preparations. The input for this step is the result of the widespread power outage detection, and the output is the notification sent to the operator's terminal.

[0274] Step 4:

[0275] The server collects location information of users within the affected area. It receives location data transmitted from each user terminal and stores it in a database. The input for this step is location data from the user terminal, and the output is the updated database.

[0276] Step 5:

[0277] Based on the collected location information, the server identifies areas with a high terminal density. Specifically, it plots the user positions on the map data and analyzes the distribution of user density. The input for this step is the location information data saved in Step 4, and the output is a list of areas with a high terminal density and its map display.

[0278] Step 6:

[0279] Based on the location information of areas with a high terminal density and important facilities, the server determines the optimal base station recovery order. It generates a list of base stations to be recovered with the highest priority and notifies the operator. The input for this step is the information of areas with a high terminal density identified in Step 5, and the output is an optimal base station recovery order list.

[0280] Step 7:

[0281] The operator's terminal receives the base station recovery order list sent from the server and visually displays it on the map. Based on the displayed information, the operator proceeds with the recovery work. The input for this step is the base station recovery order list from the server, and the output is the map information displayed on the terminal.

[0282] Step 8:

[0283] The server monitors the recovery status of the base stations in real time and resets the recovery priority according to the progress. It re-notifies the operator with the updated priority list. The input for this step is the real-time recovery status data, and the output is the updated base station recovery order list.

[0284] Step 9:

[0285] The server creates a replenishment plan for the materials and fuel required for the recovery work and notifies the operator. The notification also includes the specific material replenishment locations and times. The input for this step is the progress data of the recovery work and the material inventory data, and the output is the material replenishment plan.

[0286] Step 10:

[0287] The operator's terminal receives a material replenishment plan and conducts material procurement activities based on its content. It reports the progress status to the server as necessary. The input for this step is the material replenishment plan from the server, and the output is the progress report of the ongoing material replenishment.

[0288] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0289] The present invention relates to a system for supporting the rapid and efficient restoration of a mobile communication network during a disaster, and further combines an emotion engine for recognizing the user's emotions to enable a more advanced response. The specific operations of this system will be described below.

[0290] Overview of the System

[0291] The center of this system is the server. The server monitors the commercial power supply status of each base station in real time and aggregates the power outage information. Also, by collaborating with the emotion engine, it collects and analyzes the user's emotion information to more effectively carry out disaster response.

[0292] Monitoring of Commercial Power Supply and Disaster Detection

[0293] [[ID=e6]] The server periodically receives power supply status data from each base station and determines whether it is operating normally or has a power outage. It counts the number of base stations with a power outage, and if it exceeds a specific threshold (e.g., 50 or more power outages), it determines a wide-area power outage and starts the disaster response process.

[0294] Instructions to the Operator

[0295] If a disaster is detected, the server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare to procure fuel. Terminals notify operators of these instructions. Upon receiving the instructions, operators enter a standby state and begin procuring fuel.

[0296] Active user tracking and location estimation

[0297] The server retrieves a list of active users connected to the mobile network within the affected area and analyzes location data to determine the users' current location and movement trajectory. This allows it to identify areas with high user density.

[0298] Integration with the emotion engine

[0299] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server.

[0300] Determining the priority of base station recovery

[0301] The server determines the optimal base station restoration order based on user location and emotional information. For example, it prioritizes restoration in areas with high user density and a large number of emotionally unstable users.

[0302] Real-time updates on recovery status

[0303] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the data is immediately updated and the next restoration instruction is issued.

[0304] Notification of material supply plan and action plan

[0305] The server centrally manages the remaining fuel amount required for recovery work, material stock information, and operator shift information. Then, it creates an optimal material replenishment plan and notifies the operator of a specific action plan. The terminal delivers the plan details to the operator.

[0306] Specific Example

[0307] 1. Disaster Occurrence and Detection: <>

[0308] If 50 base stations simultaneously lose power in the Tokyo area, the server detects a wide - area power outage and determines that a disaster has occurred.

[0309] 2. Instructions to Operators:

[0310] The server instructs the operators in Tokyo and adjacent areas to "start waiting and preparing for fuel procurement." The terminal notifies the operators of this instruction.

[0311] 3. Tracking and Location Estimation of Users:

[0312] The server collects the location information of users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0313] 4. Collaboration with the Emotion Engine:

[0314] The server analyzes the voice and text data collected from users' terminals using an emotion engine and recognizes the users' emotional states (e.g., levels of anxiety and stress).

[0315] 5. Determination of the Priority of Base Station Recovery: <000099>

[0316] If there are many emotionally unstable users in Shinjuku Ward, the server creates a list to prioritize the recovery of that area. The terminal notifies the operator of this list and gives a specific instruction to "prioritize the recovery of the base stations near Shinjuku West Exit Station."

[0317] 6. Update of the Recovery Status:

[0318] The server confirms that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[0319] 7. Notification of material supply plan:

[0320] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location." The terminal then delivers this information to the operator.

[0321] 8. Implementing the action plan:

[0322] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0323] conclusion

[0324] This invention provides an advanced system that supports the rapid and efficient recovery of mobile communication networks during disasters by combining an emotion engine at each step. The server monitors the situation in real time and issues optimal instructions, making the most of limited resources to achieve early recovery of the communication network, while also providing psychological support to users.

[0325] The following describes the processing flow.

[0326] Step 1:

[0327] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[0328] Step 2:

[0329] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[0330] Step 3:

[0331] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[0332] Step 4:

[0333] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[0334] Step 5:

[0335] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[0336] Step 6:

[0337] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[0338] Step 7:

[0339] The server works in conjunction with the emotion engine to collect and analyze the user's emotional information (anxiety, stress levels, etc.). The emotion engine recognizes emotions using voice, text, and facial expression data from the user's device and sends it to the server.

[0340] Step 8:

[0341] The server determines the optimal base station recovery priority based on user density and emotional information. For example, it prioritizes areas with high user density and a large number of emotionally unstable users.

[0342] Step 9:

[0343] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[0344] Step 10:

[0345] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[0346] Step 11:

[0347] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[0348] Step 12:

[0349] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[0350] Step 13:

[0351] Operators will initiate specific actions based on notifications from terminals to support the efficient restoration of the communication network. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0352] Step 14:

[0353] Based on notifications from the server, users select appropriate evacuation actions and communication methods to ensure their own safety. Supported by an emotion engine, they can act with a sense of security.

[0354] (Example 2)

[0355] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0356] Conventional disaster recovery systems for mobile communication networks simply monitored the power status of base stations and reported power outages. This made it difficult to respond quickly and efficiently to widespread disasters, and information provided to users was limited. Furthermore, it was impossible to provide appropriate support that considered users' emotional states, resulting in insufficient psychological support. This led to delays in disaster response and increased user anxiety.

[0357] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining a wide-area power outage from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for collecting and analyzing user sentiment information, and means for determining the base station restoration order based on sentiment information and location information. This enables rapid and efficient restoration of the mobile communication network, as well as psychological support for users.

[0358] A "base station" is a wireless communication device used to communicate with terminals in a mobile communication network.

[0359] "Power status" refers to the state indicating whether or not commercial power is being supplied for the base station to function properly.

[0360] "Power outage" refers to a state in which commercial power is not supplied to the base station.

[0361] "Wide-area power outage" refers to a situation where multiple base stations within a certain range are simultaneously without power, and is an indicator of damage caused by disasters or other events.

[0362] "Operator" refers to a technician or specialist staff member responsible for the management and operation of a mobile communication network.

[0363] "Fuel procurement" refers to the activity of procuring fuel to operate emergency power sources (such as generators).

[0364] An "active user" refers to a user who is connected to a mobile communication network and is actively using the service.

[0365] "Location information" refers to data indicating the longitude and latitude of the user's current location.

[0366] "User density" is an indicator that shows the number of active users within a specific area.

[0367] "Emotional information" refers to data that indicates the emotional state of a user, and is obtained through voice analysis and text analysis.

[0368] "Recovery priority" refers to the order in which base station recovery work is prioritized.

[0369] "Recovery status" refers to the progress of restoring the power and communication functions of a base station.

[0370] A "materials supply plan" is a plan for supplying materials and fuel necessary for the restoration work of base stations.

[0371] An "action plan" is a plan that outlines specific instructions and schedules for operators to carry out recovery work efficiently.

[0372] An "emotion engine" is a device or software that analyzes a user's emotions and provides that information to the system.

[0373] Modes for carrying out the invention

[0374] The present invention relates to a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. This system includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for collecting and analyzing user sentiment information, and means for determining the base station restoration order based on sentiment information and location information.

[0375] The following describes the specific operation of the system. Each process is performed based on the roles of the server, terminal, and user.

[0376] Monitoring the status of commercial power supply

[0377] The server periodically receives power status data from each base station. Monitoring software (e.g., Nagios or Zabbix) is used to collect this data. The server reads the voltage and current values ​​of each base station at regular intervals and determines in real time whether they are operating normally or in a power outage state.

[0378] Disaster detection and initial response

[0379] The server analyzes the received power status data and counts the number of base stations experiencing power outages. If a certain threshold (e.g., more than 50 base stations experiencing power outages) is exceeded, it determines that a widespread power outage has occurred and initiates the disaster response process. Specifically, the server triggers an alert system and immediately notifies the disaster response team.

[0380] Instructions and notifications to operators

[0381] The server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare for fuel procurement. These instructions are communicated to operators via a dedicated smartphone app or tablet device. The device receives these instructions in real time and immediately notifies the operators.

[0382] Tracking Active Users

[0383] The server retrieves a list of active users connected to the mobile network within the affected area. It uses the Geolocation API to analyze location data. Specifically, the server obtains the user's longitude and latitude information via the API to determine the user's current location and movement trajectory.

[0384] User sentiment analysis using an emotion engine

[0385] The server works in conjunction with the emotion engine to collect and analyze user emotion information. The emotion engine analyzes voice data using speech analysis technology (e.g., Google® Cloud Speech-to-Text) and text data using natural language processing technology (e.g., IBM Watson® NLU). Specifically, the user sends data (voice, text) indicating their emotional state through their device.

[0386] Prioritizing the restoration of base stations

[0387] The server determines the optimal base station recovery order based on user location and emotional information. Specifically, base stations in areas with high density and a large number of emotionally unstable users are given the highest priority for recovery. The priority is determined as a list and notified to the operator.

[0388] Progress and status monitoring of recovery work

[0389] The server monitors the progress of the recovery process in real time. Dedicated dashboard software (e.g., Grafana) is used to visualize the recovery status and send information about the completion of the recovery to the server. The next recovery instruction is issued immediately.

[0390] Formulation and notification of material supply plans

[0391] The server centrally manages fuel levels, material stock information, and operator shift information. It creates an optimal material replenishment plan, and terminals notify operators of specific action plans. For example, it notifies operators of "the next scheduled replenishment time and location," and operators act according to the plan.

[0392] Specific example

[0393] 1. Disaster Occurrence and Detection

[0394] The server detects, using Nagios, that 50 base stations in the Tokyo area have simultaneously experienced a power outage, and determines that this is a widespread blackout.

[0395] 2. Instructions to the operator

[0396] The server instructs operators in Tokyo and neighboring areas to "begin standby and prepare for fuel procurement," and terminals notify operators of this instruction via a smartphone app.

[0397] 3. User tracking and location estimation

[0398] The server uses the Geolocation API to collect user location information and identifies that there is a concentration of users in Shinjuku Ward after the earthquake.

[0399] 4. Integration with the emotion engine

[0400] The server uses Google Cloud Speech-to-Text and IBM Watson NLU to analyze user emotions from speech and text data. For example, it can recognize levels of "anxiety."

[0401] 5. Determining the priority for base station restoration.

[0402] The server prioritizes areas in Shinjuku Ward with a high number of emotionally unstable users at the top of its list and notifies operators of specific instructions. The terminal notifies the user, "Prioritize restoring base stations near Shinjuku West Exit Station."

[0403] 6. Update on recovery status

[0404] The server uses Grafana to confirm that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[0405] 7. Notification of material supply plan

[0406] The server uses the ERP system to create a supply plan, notifying the operator of the "next scheduled supply time and location," and the terminal receives this information via a smartphone app.

[0407] 8. Implementing the action plan

[0408] Users will initiate specific actions based on notifications from their devices to support efficient network restoration efforts. Operators will carry out base station restoration work and replenish necessary materials and fuel according to the plan.

[0409] Example of a Generated AI Model Prompt

[0410] The following are examples of prompts to input to a generative AI model.

[0411] Please provide a detailed description of how the system operates to support the rapid and efficient restoration of mobile communication networks during disasters. Specifically, describe how it monitors commercial power and detects disasters, issues instructions to operators, tracks and estimates the location of active users, integrates with emotion engines, determines base station restoration priorities, provides real-time updates on restoration status, and notifies users of material supply and action plans. Please also include specific software and hardware names and examples.

[0412] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0413] Step 1:

[0414] Monitoring the status of commercial power supply

[0415] The server periodically receives power status data from each base station. Monitoring software is used to collect this data. Voltage and current values ​​from each base station are sent to the server as input. The server analyzes this data and determines in real time whether it is operating normally or in a power outage state. A list of the power status of each base station is generated as output. Specifically, the server reads voltage and current values ​​at regular intervals via Nagios or Zabbix and determines whether it is operating normally or in a power outage state.

[0416] Step 2:

[0417] Disaster detection and initial response

[0418] The server aggregates the received power status data and counts the number of base stations experiencing power outages. It uses the list of base station power statuses generated in step 1 as input. The server calculates the number of base stations experiencing power outages and determines whether a certain threshold has been exceeded. As output, a disaster detection flag is set, triggering initial response. Specifically, the server activates an alert system and notifies the disaster response team.

[0419] Step 3:

[0420] Instructions and notifications to operators

[0421] The server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare for fuel procurement. Information about the area experiencing widespread power outages is used as input. The server notifies operators of these instructions via a dedicated smartphone app or tablet device. The output is a command to stand by and procure fuel displayed on the operators' devices. Specifically, the devices receive notifications in real time and display the instructions to the operators.

[0422] Step 4:

[0423] Tracking Active Users

[0424] The server retrieves a list of active users connected to the mobile network within the disaster-stricken area. Mobile network connection information is provided to the server as input. The server uses the Geolocation API to analyze location data and determine the user's current location and movement trajectory. The output generates a list of the locations of active users within the disaster-stricken area. Specifically, the server obtains and analyzes the user's longitude and latitude information via the API.

[0425] Step 5:

[0426] User sentiment analysis using an emotion engine

[0427] The server works in conjunction with an emotion engine to collect and analyze user emotion information. Voice and text data are sent from the user's device to the server as input. The server recognizes the emotional state using speech analysis and natural language processing technologies. A list of the user's emotion information is generated as output. Specifically, the user sends voice and text data to the server using their device. The server analyzes this data using Google Cloud Speech-to-Text or IBM Watson NLU.

[0428] Step 6:

[0429] Prioritizing the restoration of base stations

[0430] The server determines the optimal base station recovery order based on user location and sentiment information. The location and sentiment information lists generated in steps 4 and 5 are used as input. The server analyzes this data and prioritizes base stations in areas with high density and a large number of emotionally unstable users for recovery. A priority list is generated as output. Specifically, the server generates the list and notifies the operator.

[0431] Step 7:

[0432] Progress and status monitoring of recovery work

[0433] The server monitors the progress of the recovery work in real time. Recovery progress data from each base station is sent to the server as input. The server visualizes the recovery status using dedicated dashboard software and sends information when recovery is complete to the server. A recovery status list updated in real time is generated as output. Specifically, the server uses Grafana to monitor the progress and issue the next recovery instruction.

[0434] Step 8:

[0435] Formulation and notification of material supply plans

[0436] The server centrally manages fuel levels, material stock information, and operator shift information. Inputs include material and fuel level data from each operator. The server creates an optimal replenishment plan and notifies operators of a specific action plan. Outputs include the replenishment plan and action plan displayed on the operator's terminal. In terms of specific actions, the terminal notifies the operator of the "next scheduled replenishment time and location," and the operator acts according to the plan.

[0437] (Application Example 2)

[0438] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0439] In the event of a disaster, it is necessary to restore mobile communication networks quickly and efficiently. However, conventional systems do not take into account the scale of the disaster or the psychological state of users in the affected areas, leading to delays in restoration work and exacerbating user anxiety. Furthermore, the supply of materials and fuel was not efficient, often resulting in delays in the restoration of communication networks.

[0440] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0441] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users within the affected area, means for determining the optimal base station restoration order based on user density and emotional state, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for an automated mobile vehicle to deliver materials and fuel, and means for analyzing user emotional information and reflecting it in the restoration plan. This makes it possible to quickly and efficiently restore the mobile communication network even in the event of a disaster, reduce user anxiety, and optimize the supply of materials and fuel.

[0442] "Means for monitoring the power status of base stations" refers to devices or software that monitor the commercial power status of each base station in a mobile communication network in real time.

[0443] "Means for counting the number of base stations experiencing power outages" refers to a device or software that counts the number of base stations whose power supply has been cut off.

[0444] A "means for determining a wide-area power outage from the number of base stations experiencing power outages" refers to a device or software that analyzes the number of base stations experiencing power outages based on certain criteria and determines whether a widespread power outage has occurred based on the results.

[0445] "Means for issuing instructions to operators to stand by and procure fuel in the event of a disaster" refers to a device or software that automatically sends instructions to operators to stand by and procure fuel when a disaster is detected.

[0446] "Means for tracking the location of active users within the disaster-stricken area" refers to a device or software that collects and tracks location information of active users connected to a mobile communication network within the disaster-stricken area.

[0447] "Means for determining the optimal base station restoration order based on user density and emotional state" refers to a device or software that analyzes user location information and emotional data to determine the base station restoration order by prioritizing areas where many users gather and are emotionally unstable.

[0448] "Means for updating the recovery status in real time" refers to a device or software that monitors the progress of base station recovery work in real time and immediately updates that information.

[0449] "Means for creating an optimal material supply plan" refers to a device or software that automatically generates an efficient material supply plan based on forecasts of the consumption of materials and fuel necessary for disaster response.

[0450] "Means for notifying operators of action plans" refers to a device or software that automatically notifies operators of the created action plan and encourages them to take action.

[0451] "Means of delivering materials and fuel by automated vehicles" refers to devices or software that use autonomous vehicles or unmanned aircraft to automatically transport materials and fuel to their destination.

[0452] "Means for analyzing user emotional information and reflecting it in the recovery plan" refers to a device or software that recognizes the user's emotional state through voice or text data, facial expression analysis, etc., and optimizes the recovery plan based on that information.

[0453] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters, and further incorporates an emotion engine that recognizes user emotions to enable more sophisticated responses. The specific operation of this system is described below.

[0454] System Overview

[0455] The core of this system is the server. The server monitors the power status of each base station in real time and compiles power outage information. In addition, by linking with the emotion engine, it also collects and analyzes user emotion information, making disaster response even more effective.

[0456] Commercial power supply monitoring and disaster detection

[0457] The server periodically receives power status data from each base station to determine whether they are operating normally or experiencing a power outage. For example, power monitoring devices are installed to collect power status information from each base station, and this information is periodically sent to the server. The server counts the number of base stations experiencing power outages, and if this number exceeds a certain threshold (e.g., more than 50 base stations experiencing outages), it is determined to be a widespread power outage, and the disaster response process is initiated.

[0458] Integration with the emotion engine

[0459] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server. This emotional data is used to understand the user's anxiety and stress levels.

[0460] Determining the priority of base station recovery

[0461] The server determines the optimal base station recovery order based on user location and emotional information. For example, it prioritizes recovery in areas with high user density and a large number of emotionally unstable users. Specifically, it can use Google Cloud's Speech-to-Text API or Azure's Emotion API to perform emotional analysis and set recovery priorities based on the results.

[0462] Notification of material supply plan and action plan

[0463] The server centrally manages the remaining fuel levels, material stock information, and operator shift information necessary for recovery operations. It then creates an optimal material replenishment plan and notifies operators of a specific action plan. Materials and fuel can be automatically transported to their destinations using autonomous vehicles and drones.

[0464] Specific example

[0465] 1. Disaster Occurrence and Detection:

[0466] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0467] 2. Instructions for operators:

[0468] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators of this instruction.

[0469] 3. User tracking and location estimation:

[0470] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0471] 4. Integration with the emotion engine:

[0472] The server analyzes voice and text data collected from the user's device using an emotion engine to recognize the user's emotional state.

[0473] 5. Determining the priority for base station restoration:

[0474] The server creates a list of areas in Shinjuku Ward that are prioritized for restoration if there are many emotionally unstable users in that area. The terminal notifies the operator of this list and gives specific instructions, such as "prioritize restoring base stations near Shinjuku West Exit Station."

[0475] 6. Update on recovery status:

[0476] The server confirms that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[0477] 7. Notification of material supply plan:

[0478] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location." The terminal then delivers this information to the operator.

[0479] 8. Implementing the action plan:

[0480] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0481] Example of a prompt

[0482] Example prompt:

[0483] Scenario: An earthquake strikes Tokyo, causing simultaneous power outages at 50 base stations. Autonomous vehicles equipped with emotion engines monitor power outage information and user emotional states in real time to facilitate rapid restoration of the communication network. A server determines the optimal restoration priority based on user location and emotional information, and issues specific instructions to the autonomous vehicles.

[0484] 1. Please explain the types of data collected by autonomous vehicles and how they are analyzed.

[0485] 2. Please list the specific procedures that the server will take after detecting a disaster.

[0486] 3. Explain how user sentiment data will influence the recovery plan.

[0487] The above describes a specific embodiment for carrying out the invention. This enables the rapid and efficient restoration of mobile communication networks during disasters, thereby increasing user confidence.

[0488] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0489] Step 1:

[0490] The server monitors the power status of each base station. Specifically, the server receives power status data periodically transmitted from power monitoring devices. The input is power status information for each base station, and this information is stored in a database for real-time collection and management. The output is status information indicating whether the base station is functioning normally or experiencing a power outage.

[0491] Step 2:

[0492] The server counts the number of base stations experiencing power outages. It analyzes the power status data of each base station and counts the number of base stations experiencing power outages. The input is the power status information of the base stations collected in step 1. The output is the number of base stations experiencing power outages, which is stored in the server's memory.

[0493] Step 3:

[0494] The server determines a widespread power outage if the number of unpowered base stations exceeds a threshold and initiates the disaster response process. The input is the number of unpowered base stations obtained in step 2. If the number of unpowered base stations exceeds a specific threshold (e.g., 50 or more), the server determines a widespread power outage. The output is a disaster occurrence flag and its detailed information.

[0495] Step 4:

[0496] When a disaster occurs, the server issues instructions to the operators to stand by and procure fuel. The input is the disaster occurrence flag set in step 3. The server sends a notification to the operators instructing them to stand by and procure fuel via SMS, email, or a dedicated application. The output is the instruction message to the operators.

[0497] Step 5:

[0498] The server tracks the location of active users within the disaster-stricken area. The input is location data transmitted from the user's device. This data is collected using GPS and analyzed by the server. The output is each user's current location information, stored in the server's memory in real time.

[0499] Step 6:

[0500] The server collects and analyzes user emotional information using an emotion engine. Inputs include voice, text, and facial expression data obtained from the user's device. The emotion engine analyzes this data using APIs such as Google Cloud's Speech-to-Text API and Azure's Emotion API. The output is the user's emotional state (e.g., anxiety or stress level).

[0501] Step 7:

[0502] The server determines the optimal base station recovery order based on user location and sentiment information. The input is the user location and sentiment information obtained in steps 5 and 6. The server analyzes this data to identify areas with high user density and unstable sentiment. The output is a recovery priority list, which is notified to the operator.

[0503] Step 8:

[0504] The server updates the recovery status of base stations in real time and issues the next recovery instruction. The input is data on the progress of the recovery work. The server collects and analyzes this data in real time and updates the recovery status of base stations. The output is a list of base stations that need to be restored next, and this is also notified to the operator.

[0505] Step 9:

[0506] The server creates an optimal supply plan and notifies operators of specific action plans. Inputs include fuel levels, supply stock information, and operator shift information. The server integrates this data and creates a supply plan based on forecasts of supply and fuel consumption. Outputs are detailed information on the supply plan and action plan.

[0507] Step 10:

[0508] The user initiates specific actions based on notifications from the server, using autonomous vehicles and drones to deliver supplies and fuel. The input is the supply plan and action plan obtained in step 9. The user executes these instructions to help restore the communication network quickly and efficiently. The output is a report of the completion of the delivery of supplies and fuel to the base.

[0509] Through the steps described above, this system can support the rapid and efficient restoration of mobile communication networks in the event of a disaster, thereby enhancing users' sense of security.

[0510] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0511] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0512] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0513] [Second Embodiment]

[0514] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0515] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0516] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0517] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0518] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0519] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0520] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0521] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0522] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0523] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0524] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0525] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0526] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. The specific operation of this system is described below.

[0527] System Overview

[0528] First, the system is centered around a server. The server monitors the commercial power status of each base station in real time and compiles power outage information. If the number of base stations experiencing power outages exceeds a certain threshold, the server determines that there is a widespread power outage and initiates the disaster response process.

[0529] Commercial power supply monitoring and disaster detection

[0530] The server periodically receives power status data from each base station and counts the number of base stations experiencing power outages. For example, if 50 base stations in the Tokyo area experience simultaneous power outages, the server determines that this is a widespread power outage.

[0531] Instructions to the operator

[0532] If a disaster is detected, the server issues instructions to operators in the affected area and surrounding areas to stand by and procure fuel. Terminals play the role of delivering these instructions to operators. Specifically, a notification such as "Please begin standing by and preparing to procure fuel" is sent to the operators' mobile devices.

[0533] Active user tracking and location estimation

[0534] Next, the server tracks active users within the affected area. It analyzes location information periodically transmitted from user devices connected to the mobile network in the affected area to determine the user's current location and movement trajectory. This helps identify areas with high user density.

[0535] Determining the priority of base station recovery

[0536] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku.

[0537] Real-time updates on recovery status

[0538] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the server immediately updates the data and issues the next restoration instruction.

[0539] Notification of material supply plan and action plan

[0540] The server centrally manages information on remaining fuel, material stocks, and operator shifts necessary for recovery operations. Based on this, the server creates an optimal material supply plan and notifies operators of a specific action plan. The terminal then delivers the details of that plan to the operators.

[0541] Specific example

[0542] 1. Disaster Occurrence and Detection:

[0543] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0544] 2. Instructions for operators:

[0545] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[0546] 3. User tracking and location estimation:

[0547] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0548] 4. Determining the priority for base station restoration:

[0549] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[0550] 5. Update on recovery status:

[0551] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[0552] 6. Notification of material supply plan:

[0553] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[0554] conclusion

[0555] This invention provides a system that supports the rapid and efficient recovery of mobile communication networks during disasters through such a process. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[0556] The following describes the processing flow.

[0557] Step 1:

[0558] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[0559] Step 2:

[0560] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[0561] Step 3:

[0562] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[0563] Step 4:

[0564] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[0565] Step 5:

[0566] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[0567] Step 6:

[0568] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[0569] Step 7:

[0570] The server generates a list of base stations to prioritize for recovery, taking into account user density and the location of critical facilities. This list is sorted according to priority.

[0571] Step 8:

[0572] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[0573] Step 9:

[0574] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[0575] Step 10:

[0576] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[0577] Step 11:

[0578] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[0579] Step 12:

[0580] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0581] (Example 1)

[0582] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0583] In the event of a disaster, there is a need for mobile communication networks to be restored quickly and efficiently. However, there is a lack of effective systems to smoothly carry out each step of the process, such as monitoring the commercial power supply of base stations, aggregating power outage information, and collecting and analyzing user location information. The objective of this invention is to solve this problem and realize the early restoration of communication networks in the event of a disaster.

[0584] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0585] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for collecting user location information within the affected area, means for analyzing the collected location information, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, and means for notifying operators of the action plan. This enables rapid and efficient restoration of the mobile communication network in the event of a disaster.

[0586] A "base station" is equipment used to communicate with mobile devices in a wireless communication network.

[0587] "Power status" refers to information indicating whether or not power is being supplied normally to each base station.

[0588] "Power outage" refers to a state in which the power supply is interrupted, and describes a situation in which a base station is unable to use commercial power.

[0589] "Wide-area power outage" refers to a situation where a certain number of base stations are simultaneously without power, resulting in a large-scale power outage across an entire region.

[0590] "Disaster occurrence" refers to a situation in which the normal operation of communication networks is disrupted due to natural disasters such as earthquakes and typhoons.

[0591] "Operator" refers to the engineers or personnel responsible for managing and operating the communication network.

[0592] "Standby and fuel procurement instructions" refers to instructions given to operators in the event of a disaster to stand by and prepare the necessary fuel.

[0593] "User" refers to individuals or corporations that use mobile communication networks.

[0594] "Location information" refers to data that indicates the current location of the user's device, and is obtained using GPS or similar methods.

[0595] "Element density" is an indicator that shows the proportion of users within a specific area.

[0596] The "base station restoration priority list" is a list indicating the priority order of base stations that should undergo restoration work.

[0597] "Recovery status" refers to information indicating the progress of restoring power and communication functions to base stations.

[0598] "Real-time updates" refers to a data update method that constantly reflects the latest state, rather than static data updates.

[0599] A "material supply plan" refers to a plan for supplying fuel and other materials necessary for recovery work.

[0600] An "action plan" refers to the specific procedures and schedules that operators use to carry out recovery work.

[0601] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. This system consists of multiple components, including servers, terminals, and users. Specific embodiments of this system are described below.

[0602] System Overview

[0603] The server is designed to monitor the power status of base stations and aggregate power outage information. The server receives real-time commercial power status data from each base station, analyzes this data, and counts the number of base stations experiencing power outages. For example, the server receives power supply status (normal / outage) data transmitted from each base station every minute.

[0604] Decision on widespread power outage

[0605] If the number of base stations experiencing power outages exceeds a certain threshold, the server will determine that a widespread power outage has occurred and initiate the disaster response process. For example, if 50 base stations in the Tokyo area experience power outages simultaneously, the server will detect a widespread power outage and determine that a disaster has occurred.

[0606] Instructions to the operator

[0607] If a disaster is detected, the server will issue instructions to operators in the affected area and surrounding areas to stand by and procure fuel. The terminal will then transmit these instructions to the operators' mobile devices. Specifically, the message "Please begin standing by and preparing to procure fuel" will be sent to the operators' mobile devices.

[0608] Tracking Active Users

[0609] The server periodically collects location information from active users within the disaster-stricken area. This location information is transmitted from user devices connected to a mobile network. For example, the server collects GPS data transmitted from user devices every few minutes and analyzes it to determine the user's current location and movement trajectory.

[0610] Determining the priority of base station recovery

[0611] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku. The server uses a GIS system to overlay user density and the locations of critical facilities to determine the priority.

[0612] Real-time updates on recovery status

[0613] While recovery work is underway, the server monitors its progress in real time. Once recovery is complete, the server immediately updates the data and issues the next recovery instruction. For example, when the server receives a recovery completion report, it immediately reflects that information in the database and issues a new recovery instruction to any base stations that have not yet recovered.

[0614] Notification of material supply plan and action plan

[0615] The server centrally manages information on the remaining fuel and materials needed for recovery work and creates an optimal material replenishment plan based on that information. Specifically, it uses a fuel consumption prediction algorithm to calculate the next replenishment time and predicted consumption. The created material replenishment plan is notified to the operator as specific action instructions. The terminal notifies the operator of the "next replenishment time and location".

[0616] Specific example

[0617] 1. Disaster Occurrence and Detection

[0618] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0619] 2. Instructions to the operator

[0620] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[0621] 3. User tracking and location estimation

[0622] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0623] 4. Determining the priority for base station restoration.

[0624] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[0625] 5. Update on recovery status

[0626] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[0627] 6. Notification of Material Supply Plan

[0628] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[0629] Example of a prompt

[0630] "After explaining the situation where a disaster has occurred and 50 base stations are without power, please explain how you collect location information from user terminals in the affected area and determine which base stations should be prioritized for restoration."

[0631] This invention supports the rapid and efficient recovery of mobile communication networks during disasters through these processes. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[0632] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0633] Step 1:

[0634] Power status received

[0635] Input: Commercial power status data transmitted from each base station (every minute)

[0636] Specific operation: The server receives power supply status data (normal / outage) transmitted from each base station every minute.

[0637] Output: List of commercial power status data

[0638] Step 2:

[0639] Summary of power outage information

[0640] Input: List of commercial power status data

[0641] Specific operation: The server analyzes the received data and creates a list of base stations that are experiencing power outages.

[0642] Output: Number of base stations experiencing power outages and a list of those base stations.

[0643] Step 3:

[0644] Decision on widespread power outage

[0645] Input: Number of base stations experiencing power outages

[0646] Specific operation: If the number of base stations experiencing power outages exceeds a certain threshold (e.g., 50 base stations), the server will determine that there is a widespread power outage.

[0647] Output: Widespread power outage flag (True / False)

[0648] Step 4:

[0649] Notification to operators

[0650] Input: Widespread power outage flag (true)

[0651] Specific actions: If a disaster is detected, the server will instruct operators in the affected area and surrounding areas to stand by and procure fuel. Specifically, it will generate a message saying, "Start standing by and prepare to procure fuel," and the terminal will send this message to the operators' mobile devices.

[0652] Output: Instruction message to the operator

[0653] Step 5:

[0654] Location information collection

[0655] Input: Location data from user devices within the disaster-stricken area (every few minutes)

[0656] Specific operation: The server periodically receives location information from active users within the affected area. It collects GPS data transmitted every few minutes from user devices connected to the mobile network.

[0657] Output: List of user location data

[0658] Step 6:

[0659] User location analysis

[0660] Input: List of user location data

[0661] Specific operation: The server analyzes the collected location information to determine the user's current location and movement trajectory. Specifically, it maps each user's location information to identify areas with high user density.

[0662] Output: User density map

[0663] Step 7:

[0664] Determining the priority of base station recovery

[0665] Input: User density map and location information of critical facilities

[0666] Specific operation: The server calculates the recovery priority of each base station based on user density and the location of critical facilities. It uses a GIS system to overlay user density and the locations of critical facilities and determines the priority based on the criteria.

[0667] Output: Base station recovery priority list

[0668] Step 8:

[0669] Real-time updates on recovery status

[0670] Input: Recovery progress data from base station

[0671] Specific operation: The server monitors the progress of the base station's recovery work in real time. Once recovery is complete, the server immediately updates the data in the database and issues the next recovery instruction.

[0672] Output: Latest recovery status data and next recovery instructions

[0673] Step 9:

[0674] Creating a materials supply plan

[0675] Input: Fuel and material remaining quantity information and consumption forecast data

[0676] Specific operation: The server creates a refueling plan based on information about the remaining fuel and materials needed for recovery work. It uses a fuel consumption prediction algorithm to calculate the next refueling time and predicted consumption.

[0677] Output: Material supply plan

[0678] Step 10:

[0679] Notification of action plan

[0680] Input: Material supply plan

[0681] Specific operation: The server notifies the operator of the created material supply plan as specific action instructions. The terminal notifies the operator of the "next supply time and location".

[0682] Output: Action instruction message for operators

[0683] (Application Example 1)

[0684] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0685] Restoring communication networks during disasters requires speed and efficiency, but currently, the inability to properly utilize power outage information and user location data leads to delays in restoration work. In particular, delays in priority restoration in areas with high user density and near critical facilities can reduce the efficiency of information dissemination and rescue operations.

[0686] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0687] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active terminals within the affected area, means for identifying areas with high terminal density based on location information, means for determining the optimal base station restoration order based on terminal density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for sending push notifications to operators' terminals, and means for visually displaying terminal density on a map. This enables rapid and efficient restoration of the communication network in the event of a disaster.

[0688] A "base station" is a wireless communication device used to form a mobile network, and it acts as a relay point for communication with mobile devices.

[0689] "Power status" refers to information indicating whether the base station is receiving power and operating normally, or whether there is a power outage.

[0690] "Number of base stations experiencing power outages" refers to the total number of base stations whose power supply was interrupted during widespread power outages or disasters.

[0691] "Wide-area power outage" refers to a situation where multiple base stations simultaneously lose power supply, and signifies a large-scale blackout area.

[0692] "Operator" refers to technical experts or workers who manage and operate communication networks.

[0693] A "standby and fuel procurement instruction" is a notification issued to operators in the event of a disaster, instructing them to stand by and prepare to procure the necessary fuel.

[0694] "Affected area" refers to the geographical area affected by a disaster.

[0695] "Devices in use" refers to user devices connected to the communication network within the disaster-stricken area.

[0696] "Location information" refers to data on the geographical coordinates of the device's current location.

[0697] "Device density" is an indicator that shows the number of active devices within a certain area, and is also called user density.

[0698] "Base station restoration priority" refers to the order in which base stations should be prioritized for restoration work in order to quickly restore the communication network.

[0699] "Recovery status" refers to information indicating the progress of recovery from power outages or system failures.

[0700] A "materials supply plan" is a detailed plan for procuring and supplying the materials and fuel necessary for recovery work.

[0701] An "action plan" is a plan that includes specific instructions for operators to carry out recovery work and procurement of materials efficiently.

[0702] A "push notification" is a real-time notification message that is automatically sent from a server to the operator's device.

[0703] "Means of visual display" refers to technologies for displaying information in visual formats such as maps and graphs.

[0704] The method for counting the number of base stations experiencing power outages is a method that automatically measures and compiles the number of base stations that are experiencing power outages.

[0705] Modes for carrying out the invention

[0706] This invention is a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. Specifically, it includes a server for monitoring the power status of each base station in real time, aggregating and analyzing power outage information, and a terminal application for providing notifications and action plans to operators. This system operates as follows:

[0707] System Configuration

[0708] hardware

[0709] Server: A high-performance server that collects and analyzes base station power status and user location information.

[0710] Terminal: A smartphone or tablet used by the operator to receive notifications and execute action plans.

[0711] Base station: Wireless communication equipment that forms a mobile network.

[0712] software

[0713] Framework: Flask (server-side web framework)

[0714] Map display library: Folium (Visualization of map information)

[0715] Communication Library: Requests (Data communication between server, base station, and terminal)

[0716] Program Processing Description

[0717] Server Processing

[0718] 1. Monitoring the power status:

[0719] The server periodically receives power status data from the base station and stores it.

[0720] The system counts the number of base stations that have experienced power outages, and if the number exceeds a certain threshold, it determines that a widespread power outage has occurred.

[0721] 2. Notification of instructions to operators:

[0722] When a widespread power outage is detected, the server sends a push notification to the operator's terminal, instructing them to stand by and prepare to procure fuel.

[0723] 3. Tracking user location information:

[0724] The server collects location information of users within the affected area and identifies areas with high terminal density.

[0725] This information is visually displayed on a map, and operators are notified of the optimal base station restoration order.

[0726] 4. Real-time recovery status updates:

[0727] The system monitors the recovery status of each base station in real time and resets recovery priorities according to the progress.

[0728] The server will notify the operator of the material supply plan as needed.

[0729] Terminal processing

[0730] 1. Receiving notifications:

[0731] The operator's terminal receives a push notification from the server and is instructed to stand by and prepare for fuel procurement.

[0732] 2. Implementing the action plan:

[0733] The operator will perform the optimal base station recovery work according to the action plan transmitted from the server.

[0734] The system uses map information displayed on the device as a reference and prioritizes restoring service to areas with high user density.

[0735] 3. Check real-time information:

[0736] The application on the device updates the recovery status in real time and receives instructions for the next course of action.

[0737] The terminal will also notify you of the timing for purchasing necessary supplies and refueling.

[0738] Specific example

[0739] For example, if the user density is high within the affected area, the following notification will be sent to the operator's device:

[0740] "Due to the high user density, please prioritize restoring base stations in this area."

[0741] Example of a prompt

[0742] System role: To support the rapid restoration of communication networks during disasters.

[0743] Key features: Real-time power status monitoring, power outage notifications, user density tracking, recovery priority list generation, and material supply plan notifications.

[0744] Specific example: If the user density is high within the affected area, the operator will be instructed to prioritize the restoration of base stations in that area.

[0745] Technology used: Flask, Requests, Folium

[0746] Implementing such a system will enable the rapid and efficient restoration of communication networks in the event of a disaster.

[0747] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0748] Step 1:

[0749] The server collects power status data from each base station. Specifically, it receives power status information periodically transmitted from each base station and stores it in a database. The input to this step is the power status data from the base stations, and the output is the updated database.

[0750] Step 2:

[0751] The server analyzes the power status data of each base station and counts the number of base stations experiencing power outages. If the number of base stations with power outages exceeds a predetermined number, it is determined to be a widespread power outage. The input for this step is the power status data saved in step 1, and the output is the number of base stations experiencing power outages and the result of the widespread power outage determination.

[0752] Step 3:

[0753] If a widespread power outage is detected, the server sends a push notification to the operator's terminal instructing them to stand by and procure fuel. The notification includes instructions and necessary preparations. The input for this step is the result of the widespread power outage detection, and the output is the notification sent to the operator's terminal.

[0754] Step 4:

[0755] The server collects location information of users within the affected area. It receives location data transmitted from each user terminal and stores it in a database. The input for this step is location data from the user terminal, and the output is the updated database.

[0756] Step 5:

[0757] The server identifies areas with high terminal density based on the collected location information. Specifically, it plots user locations on map data and analyzes the distribution of user density. The input for this step is the location data saved in step 4, and the output is a list of areas with high terminal density and a map display of that list.

[0758] Step 6:

[0759] The server determines the optimal base station restoration order based on location information of areas with high terminal density and critical facilities. It generates a list of base stations that should be restored with the highest priority and notifies the operator. The input for this step is the information of areas with high terminal density identified in step 5, and the output is the list of optimal base station restoration order.

[0760] Step 7:

[0761] The operator's terminal receives a list of base station recovery priority sent from the server and displays it visually on a map. Based on the displayed information, the operator proceeds with the recovery work. The input for this step is the list of base station recovery priority from the server, and the output is the map information displayed on the terminal.

[0762] Step 8:

[0763] The server monitors the recovery status of base stations in real time and resets recovery priorities as progress is made. It then notifies the operator again of the updated priority list. The input for this step is real-time recovery status data, and the output is the updated base station recovery priority list.

[0764] Step 9:

[0765] The server creates a supply plan for materials and fuel needed for recovery work and notifies the operator. The notification includes specific locations and times for material replenishment. The inputs for this step are recovery work progress data and material inventory data, and the output is the material replenishment plan.

[0766] Step 10:

[0767] The operator's terminal receives the material supply plan and carries out material procurement activities based on its contents. It reports the progress to the server as needed. The input for this step is the material supply plan from the server, and the output is a progress report of the material supply in progress.

[0768] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0769] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters, and further incorporates an emotion engine that recognizes user emotions to enable more sophisticated responses. The specific operation of this system is described below.

[0770] System Overview

[0771] The core of this system is the server. The server monitors the commercial power status of each base station in real time and compiles power outage information. In addition, by linking with the emotion engine, it also collects and analyzes user emotion information, making disaster response even more effective.

[0772] Commercial power supply monitoring and disaster detection

[0773] The server periodically receives power status data from each base station to determine whether they are operating normally or experiencing a power outage. It counts the number of base stations experiencing power outages, and if the number exceeds a certain threshold (e.g., 50 or more base stations without power), it determines that there is a widespread power outage and initiates the disaster response process.

[0774] Instructions to the operator

[0775] If a disaster is detected, the server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare to procure fuel. Terminals notify operators of these instructions. Upon receiving the instructions, operators enter a standby state and begin procuring fuel.

[0776] Active user tracking and location estimation

[0777] The server retrieves a list of active users connected to the mobile network within the affected area and analyzes location data to determine the users' current location and movement trajectory. This allows it to identify areas with high user density.

[0778] Integration with the emotion engine

[0779] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server.

[0780] Determining the priority of base station recovery

[0781] The server determines the optimal base station restoration order based on user location and emotional information. For example, it prioritizes restoration in areas with high user density and a large number of emotionally unstable users.

[0782] Real-time updates on recovery status

[0783] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the data is immediately updated and the next restoration instruction is issued.

[0784] Notification of material supply plan and action plan

[0785] The server centrally manages the remaining fuel levels, material stock information, and operator shift information necessary for recovery operations. It then creates an optimal material supply plan and notifies operators of the specific action plan. The terminal delivers the details of that plan to the operators.

[0786] Specific example

[0787] 1. Disaster Occurrence and Detection:

[0788] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0789] 2. Instructions for operators:

[0790] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators of this instruction.

[0791] 3. User tracking and location estimation:

[0792] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0793] 4. Integration with the emotion engine:

[0794] The server uses an emotion engine to analyze voice and text data collected from the user's device and recognize the user's emotional state (e.g., level of anxiety or stress).

[0795] 5. Determining the priority for base station restoration:

[0796] The server creates a list of areas in Shinjuku Ward that are prioritized for restoration if there are many emotionally unstable users in that area. The terminal notifies the operator of this list and gives specific instructions, such as "prioritize restoring base stations near Shinjuku West Exit Station."

[0797] 6. Update on recovery status:

[0798] The server confirms that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[0799] 7. Notification of material supply plan:

[0800] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location." The terminal then delivers this information to the operator.

[0801] 8. Implementing the action plan:

[0802] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0803] conclusion

[0804] This invention provides an advanced system that supports the rapid and efficient recovery of mobile communication networks during disasters by combining an emotion engine at each step. The server monitors the situation in real time and issues optimal instructions, making the most of limited resources to achieve early recovery of the communication network, while also providing psychological support to users.

[0805] The following describes the processing flow.

[0806] Step 1:

[0807] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[0808] Step 2:

[0809] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[0810] Step 3:

[0811] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[0812] Step 4:

[0813] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[0814] Step 5:

[0815] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[0816] Step 6:

[0817] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[0818] Step 7:

[0819] The server works in conjunction with the emotion engine to collect and analyze the user's emotional information (anxiety, stress levels, etc.). The emotion engine recognizes emotions using voice, text, and facial expression data from the user's device and sends it to the server.

[0820] Step 8:

[0821] The server determines the optimal base station recovery priority based on user density and emotional information. For example, it prioritizes areas with high user density and a large number of emotionally unstable users.

[0822] Step 9:

[0823] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[0824] Step 10:

[0825] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[0826] Step 11:

[0827] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[0828] Step 12:

[0829] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[0830] Step 13:

[0831] Operators will initiate specific actions based on notifications from terminals to support the efficient restoration of the communication network. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0832] Step 14:

[0833] Based on notifications from the server, users select appropriate evacuation actions and communication methods to ensure their own safety. Supported by an emotion engine, they can act with a sense of security.

[0834] (Example 2)

[0835] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0836] Conventional disaster recovery systems for mobile communication networks simply monitored the power status of base stations and reported power outages. This made it difficult to respond quickly and efficiently to widespread disasters, and information provided to users was limited. Furthermore, it was impossible to provide appropriate support that considered users' emotional states, resulting in insufficient psychological support. This led to delays in disaster response and increased user anxiety.

[0837] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining a wide-area power outage from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for collecting and analyzing user sentiment information, and means for determining the base station restoration order based on sentiment information and location information. This enables rapid and efficient restoration of the mobile communication network, as well as psychological support for users.

[0838] A "base station" is a wireless communication device used to communicate with terminals in a mobile communication network.

[0839] "Power status" refers to the state indicating whether or not commercial power is being supplied for the base station to function properly.

[0840] "Power outage" refers to a state in which commercial power is not supplied to the base station.

[0841] "Wide-area power outage" refers to a situation where multiple base stations within a certain range are simultaneously without power, and is an indicator of damage caused by disasters or other events.

[0842] "Operator" refers to a technician or specialist staff member responsible for the management and operation of a mobile communication network.

[0843] "Fuel procurement" refers to the activity of procuring fuel to operate emergency power sources (such as generators).

[0844] An "active user" refers to a user who is connected to a mobile communication network and is actively using the service.

[0845] "Location information" refers to data indicating the longitude and latitude of the user's current location.

[0846] "User density" is an indicator that shows the number of active users within a specific area.

[0847] "Emotional information" refers to data that indicates the emotional state of a user, and is obtained through voice analysis and text analysis.

[0848] "Recovery priority" refers to the order in which base station recovery work is prioritized.

[0849] "Recovery status" refers to the progress of restoring the power and communication functions of a base station.

[0850] A "materials supply plan" is a plan for supplying materials and fuel necessary for the restoration work of base stations.

[0851] An "action plan" is a plan that outlines specific instructions and schedules for operators to carry out recovery work efficiently.

[0852] An "emotion engine" is a device or software that analyzes a user's emotions and provides that information to the system.

[0853] Modes for carrying out the invention

[0854] The present invention relates to a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. This system includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for collecting and analyzing user sentiment information, and means for determining the base station restoration order based on sentiment information and location information.

[0855] The following describes the specific operation of the system. Each process is performed based on the roles of the server, terminal, and user.

[0856] Monitoring the status of commercial power supply

[0857] The server periodically receives power status data from each base station. Monitoring software (e.g., Nagios or Zabbix) is used to collect this data. The server reads the voltage and current values ​​of each base station at regular intervals and determines in real time whether they are operating normally or in a power outage state.

[0858] Disaster detection and initial response

[0859] The server analyzes the received power status data and counts the number of base stations experiencing power outages. If a certain threshold (e.g., more than 50 base stations experiencing power outages) is exceeded, it determines that a widespread power outage has occurred and initiates the disaster response process. Specifically, the server triggers an alert system and immediately notifies the disaster response team.

[0860] Instructions and notifications to operators

[0861] The server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare for fuel procurement. These instructions are communicated to operators via a dedicated smartphone app or tablet device. The device receives these instructions in real time and immediately notifies the operators.

[0862] Tracking Active Users

[0863] The server retrieves a list of active users connected to the mobile network within the affected area. It uses the Geolocation API to analyze location data. Specifically, the server obtains the user's longitude and latitude information via the API to determine the user's current location and movement trajectory.

[0864] User sentiment analysis using an emotion engine

[0865] The server works in conjunction with the emotion engine to collect and analyze user emotion information. The emotion engine analyzes audio data using speech analysis technology (e.g., Google Cloud Speech-to-Text) and text data using natural language processing technology (e.g., IBM Watson NLU). Specifically, the user sends data (audio, text) indicating their emotional state through their device.

[0866] Prioritizing the restoration of base stations

[0867] The server determines the optimal base station recovery order based on user location and emotional information. Specifically, base stations in areas with high density and a large number of emotionally unstable users are given the highest priority for recovery. The priority is determined as a list and notified to the operator.

[0868] Progress and status monitoring of recovery work

[0869] The server monitors the progress of the recovery process in real time. Dedicated dashboard software (e.g., Grafana) is used to visualize the recovery status and send information about the completion of the recovery to the server. The next recovery instruction is issued immediately.

[0870] Formulation and notification of material supply plans

[0871] The server centrally manages fuel levels, material stock information, and operator shift information. It creates an optimal material replenishment plan, and terminals notify operators of specific action plans. For example, it notifies operators of "the next scheduled replenishment time and location," and operators act according to the plan.

[0872] Specific example

[0873] 1. Disaster Occurrence and Detection

[0874] The server detects, using Nagios, that 50 base stations in the Tokyo area have simultaneously experienced a power outage, and determines that this is a widespread blackout.

[0875] 2. Instructions to the operator

[0876] The server instructs operators in Tokyo and neighboring areas to "begin standby and prepare for fuel procurement," and terminals notify operators of this instruction via a smartphone app.

[0877] 3. User tracking and location estimation

[0878] The server uses the Geolocation API to collect user location information and identifies that there is a concentration of users in Shinjuku Ward after the earthquake.

[0879] 4. Integration with the emotion engine

[0880] The server uses Google Cloud Speech-to-Text and IBM Watson NLU to analyze user emotions from speech and text data. For example, it can recognize levels of "anxiety."

[0881] 5. Determining the priority for base station restoration.

[0882] The server prioritizes areas in Shinjuku Ward with a high number of emotionally unstable users at the top of its list and notifies operators of specific instructions. The terminal notifies the user, "Prioritize restoring base stations near Shinjuku West Exit Station."

[0883] 6. Update on recovery status

[0884] The server uses Grafana to confirm that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[0885] 7. Notification of material supply plan

[0886] The server uses the ERP system to create a supply plan, notifying the operator of the "next scheduled supply time and location," and the terminal receives this information via a smartphone app.

[0887] 8. Implementing the action plan

[0888] Users will initiate specific actions based on notifications from their devices to support efficient network restoration efforts. Operators will carry out base station restoration work and replenish necessary materials and fuel according to the plan.

[0889] Example of a Generated AI Model Prompt

[0890] The following are examples of prompts to input to a generative AI model.

[0891] Please provide a detailed description of how the system operates to support the rapid and efficient restoration of mobile communication networks during disasters. Specifically, describe how it monitors commercial power and detects disasters, issues instructions to operators, tracks and estimates the location of active users, integrates with emotion engines, determines base station restoration priorities, provides real-time updates on restoration status, and notifies users of material supply and action plans. Please also include specific software and hardware names and examples.

[0892] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0893] Step 1:

[0894] Monitoring the status of commercial power supply

[0895] The server periodically receives power status data from each base station. Monitoring software is used to collect this data. Voltage and current values ​​from each base station are sent to the server as input. The server analyzes this data and determines in real time whether it is operating normally or in a power outage state. A list of the power status of each base station is generated as output. Specifically, the server reads voltage and current values ​​at regular intervals via Nagios or Zabbix and determines whether it is operating normally or in a power outage state.

[0896] Step 2:

[0897] Disaster detection and initial response

[0898] The server aggregates the received power status data and counts the number of base stations experiencing power outages. It uses the list of base station power statuses generated in step 1 as input. The server calculates the number of base stations experiencing power outages and determines whether a certain threshold has been exceeded. As output, a disaster detection flag is set, triggering initial response. Specifically, the server activates an alert system and notifies the disaster response team.

[0899] Step 3:

[0900] Instructions and notifications to operators

[0901] The server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare for fuel procurement. Information about the area experiencing widespread power outages is used as input. The server notifies operators of these instructions via a dedicated smartphone app or tablet device. The output is a command to stand by and procure fuel displayed on the operators' devices. Specifically, the devices receive notifications in real time and display the instructions to the operators.

[0902] Step 4:

[0903] Tracking Active Users

[0904] The server retrieves a list of active users connected to the mobile network within the disaster-stricken area. Mobile network connection information is provided to the server as input. The server uses the Geolocation API to analyze location data and determine the user's current location and movement trajectory. The output generates a list of the locations of active users within the disaster-stricken area. Specifically, the server obtains and analyzes the user's longitude and latitude information via the API.

[0905] Step 5:

[0906] User sentiment analysis using an emotion engine

[0907] The server works in conjunction with an emotion engine to collect and analyze user emotion information. Voice and text data are sent from the user's device to the server as input. The server recognizes the emotional state using speech analysis and natural language processing technologies. A list of the user's emotion information is generated as output. Specifically, the user sends voice and text data to the server using their device. The server analyzes this data using Google Cloud Speech-to-Text or IBM Watson NLU.

[0908] Step 6:

[0909] Prioritizing the restoration of base stations

[0910] The server determines the optimal base station recovery order based on user location and sentiment information. The location and sentiment information lists generated in steps 4 and 5 are used as input. The server analyzes this data and prioritizes base stations in areas with high density and a large number of emotionally unstable users for recovery. A priority list is generated as output. Specifically, the server generates the list and notifies the operator.

[0911] Step 7:

[0912] Progress and status monitoring of recovery work

[0913] The server monitors the progress of the recovery work in real time. Recovery progress data from each base station is sent to the server as input. The server visualizes the recovery status using dedicated dashboard software and sends information when recovery is complete to the server. A recovery status list updated in real time is generated as output. Specifically, the server uses Grafana to monitor the progress and issue the next recovery instruction.

[0914] Step 8:

[0915] Formulation and notification of material supply plans

[0916] The server centrally manages fuel levels, material stock information, and operator shift information. Inputs include material and fuel level data from each operator. The server creates an optimal replenishment plan and notifies operators of a specific action plan. Outputs include the replenishment plan and action plan displayed on the operator's terminal. In terms of specific actions, the terminal notifies the operator of the "next scheduled replenishment time and location," and the operator acts according to the plan.

[0917] (Application Example 2)

[0918] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0919] In the event of a disaster, it is necessary to restore mobile communication networks quickly and efficiently. However, conventional systems do not take into account the scale of the disaster or the psychological state of users in the affected areas, leading to delays in restoration work and exacerbating user anxiety. Furthermore, the supply of materials and fuel was not efficient, often resulting in delays in the restoration of communication networks.

[0920] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0921] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users within the affected area, means for determining the optimal base station restoration order based on user density and emotional state, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for an automated mobile vehicle to deliver materials and fuel, and means for analyzing user emotional information and reflecting it in the restoration plan. This makes it possible to quickly and efficiently restore the mobile communication network even in the event of a disaster, reduce user anxiety, and optimize the supply of materials and fuel.

[0922] "Means for monitoring the power status of base stations" refers to devices or software that monitor the commercial power status of each base station in a mobile communication network in real time.

[0923] "Means for counting the number of base stations experiencing power outages" refers to a device or software that counts the number of base stations whose power supply has been cut off.

[0924] A "means for determining a wide-area power outage from the number of base stations experiencing power outages" refers to a device or software that analyzes the number of base stations experiencing power outages based on certain criteria and determines whether a widespread power outage has occurred based on the results.

[0925] "Means for issuing instructions to operators to stand by and procure fuel in the event of a disaster" refers to a device or software that automatically sends instructions to operators to stand by and procure fuel when a disaster is detected.

[0926] "Means for tracking the location of active users within the disaster-stricken area" refers to a device or software that collects and tracks location information of active users connected to a mobile communication network within the disaster-stricken area.

[0927] "Means for determining the optimal base station restoration order based on user density and emotional state" refers to a device or software that analyzes user location information and emotional data to determine the base station restoration order by prioritizing areas where many users gather and are emotionally unstable.

[0928] "Means for updating the recovery status in real time" refers to a device or software that monitors the progress of base station recovery work in real time and immediately updates that information.

[0929] "Means for creating an optimal material supply plan" refers to a device or software that automatically generates an efficient material supply plan based on forecasts of the consumption of materials and fuel necessary for disaster response.

[0930] "Means for notifying operators of action plans" refers to a device or software that automatically notifies operators of the created action plan and encourages them to take action.

[0931] "Means of delivering materials and fuel by automated vehicles" refers to devices or software that use autonomous vehicles or unmanned aircraft to automatically transport materials and fuel to their destination.

[0932] "Means for analyzing user emotional information and reflecting it in the recovery plan" refers to a device or software that recognizes the user's emotional state through voice or text data, facial expression analysis, etc., and optimizes the recovery plan based on that information.

[0933] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters, and further incorporates an emotion engine that recognizes user emotions to enable more sophisticated responses. The specific operation of this system is described below.

[0934] System Overview

[0935] The core of this system is the server. The server monitors the power status of each base station in real time and compiles power outage information. In addition, by linking with the emotion engine, it also collects and analyzes user emotion information, making disaster response even more effective.

[0936] Commercial power supply monitoring and disaster detection

[0937] The server periodically receives power status data from each base station to determine whether they are operating normally or experiencing a power outage. For example, power monitoring devices are installed to collect power status information from each base station, and this information is periodically sent to the server. The server counts the number of base stations experiencing power outages, and if this number exceeds a certain threshold (e.g., more than 50 base stations experiencing outages), it is determined to be a widespread power outage, and the disaster response process is initiated.

[0938] Integration with the emotion engine

[0939] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server. This emotional data is used to understand the user's anxiety and stress levels.

[0940] Determining the priority of base station recovery

[0941] The server determines the optimal base station recovery order based on user location and emotional information. For example, it prioritizes recovery in areas with high user density and a large number of emotionally unstable users. Specifically, it can use Google Cloud's Speech-to-Text API or Azure's Emotion API to perform emotional analysis and set recovery priorities based on the results.

[0942] Notification of material supply plan and action plan

[0943] The server centrally manages the remaining fuel levels, material stock information, and operator shift information necessary for recovery operations. It then creates an optimal material replenishment plan and notifies operators of a specific action plan. Materials and fuel can be automatically transported to their destinations using autonomous vehicles and drones.

[0944] Specific example

[0945] 1. Disaster Occurrence and Detection:

[0946] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[0947] 2. Instructions for operators:

[0948] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators of this instruction.

[0949] 3. User tracking and location estimation:

[0950] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[0951] 4. Integration with the emotion engine:

[0952] The server analyzes voice and text data collected from the user's device using an emotion engine to recognize the user's emotional state.

[0953] 5. Determining the priority for base station restoration:

[0954] The server creates a list of areas in Shinjuku Ward that are prioritized for restoration if there are many emotionally unstable users in that area. The terminal notifies the operator of this list and gives specific instructions, such as "prioritize restoring base stations near Shinjuku West Exit Station."

[0955] 6. Update on recovery status:

[0956] The server confirms that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[0957] 7. Notification of material supply plan:

[0958] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location." The terminal then delivers this information to the operator.

[0959] 8. Implementing the action plan:

[0960] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[0961] Example of a prompt

[0962] Example prompt:

[0963] Scenario: An earthquake strikes Tokyo, causing simultaneous power outages at 50 base stations. Autonomous vehicles equipped with emotion engines monitor power outage information and user emotional states in real time to facilitate rapid restoration of the communication network. A server determines the optimal restoration priority based on user location and emotional information, and issues specific instructions to the autonomous vehicles.

[0964] 1. Please explain the types of data collected by autonomous vehicles and how they are analyzed.

[0965] 2. Please list the specific procedures that the server will take after detecting a disaster.

[0966] 3. Explain how user sentiment data will influence the recovery plan.

[0967] The above describes a specific embodiment for carrying out the invention. This enables the rapid and efficient restoration of mobile communication networks during disasters, thereby increasing user confidence.

[0968] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0969] Step 1:

[0970] The server monitors the power status of each base station. Specifically, the server receives power status data periodically transmitted from power monitoring devices. The input is power status information for each base station, and this information is stored in a database for real-time collection and management. The output is status information indicating whether the base station is functioning normally or experiencing a power outage.

[0971] Step 2:

[0972] The server counts the number of base stations experiencing power outages. It analyzes the power status data of each base station and counts the number of base stations experiencing power outages. The input is the power status information of the base stations collected in step 1. The output is the number of base stations experiencing power outages, which is stored in the server's memory.

[0973] Step 3:

[0974] The server determines a widespread power outage if the number of unpowered base stations exceeds a threshold and initiates the disaster response process. The input is the number of unpowered base stations obtained in step 2. If the number of unpowered base stations exceeds a specific threshold (e.g., 50 or more), the server determines a widespread power outage. The output is a disaster occurrence flag and its detailed information.

[0975] Step 4:

[0976] When a disaster occurs, the server issues instructions to the operators to stand by and procure fuel. The input is the disaster occurrence flag set in step 3. The server sends a notification to the operators instructing them to stand by and procure fuel via SMS, email, or a dedicated application. The output is the instruction message to the operators.

[0977] Step 5:

[0978] The server tracks the location of active users within the disaster-stricken area. The input is location data transmitted from the user's device. This data is collected using GPS and analyzed by the server. The output is each user's current location information, stored in the server's memory in real time.

[0979] Step 6:

[0980] The server collects and analyzes user emotional information using an emotion engine. Inputs include voice, text, and facial expression data obtained from the user's device. The emotion engine analyzes this data using APIs such as Google Cloud's Speech-to-Text API and Azure's Emotion API. The output is the user's emotional state (e.g., anxiety or stress level).

[0981] Step 7:

[0982] The server determines the optimal base station recovery order based on user location and sentiment information. The input is the user location and sentiment information obtained in steps 5 and 6. The server analyzes this data to identify areas with high user density and unstable sentiment. The output is a recovery priority list, which is notified to the operator.

[0983] Step 8:

[0984] The server updates the recovery status of base stations in real time and issues the next recovery instruction. The input is data on the progress of the recovery work. The server collects and analyzes this data in real time and updates the recovery status of base stations. The output is a list of base stations that need to be restored next, and this is also notified to the operator.

[0985] Step 9:

[0986] The server creates an optimal supply plan and notifies operators of specific action plans. Inputs include fuel levels, supply stock information, and operator shift information. The server integrates this data and creates a supply plan based on forecasts of supply and fuel consumption. Outputs are detailed information on the supply plan and action plan.

[0987] Step 10:

[0988] The user initiates specific actions based on notifications from the server, using autonomous vehicles and drones to deliver supplies and fuel. The input is the supply plan and action plan obtained in step 9. The user executes these instructions to help restore the communication network quickly and efficiently. The output is a report of the completion of the delivery of supplies and fuel to the base.

[0989] Through the steps described above, this system can support the rapid and efficient restoration of mobile communication networks in the event of a disaster, thereby enhancing users' sense of security.

[0990] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0991] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0992] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0993] [Third Embodiment]

[0994] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0995] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0996] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0997] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0998] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0999] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1000] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1001] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1002] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1003] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1004] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1005] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[1006] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. The specific operation of this system is described below.

[1007] System Overview

[1008] First, the system is centered around a server. The server monitors the commercial power status of each base station in real time and compiles power outage information. If the number of base stations experiencing power outages exceeds a certain threshold, the server determines that there is a widespread power outage and initiates the disaster response process.

[1009] Commercial power supply monitoring and disaster detection

[1010] The server periodically receives power status data from each base station and counts the number of base stations experiencing power outages. For example, if 50 base stations in the Tokyo area experience simultaneous power outages, the server determines that this is a widespread power outage.

[1011] Instructions to the operator

[1012] If a disaster is detected, the server issues instructions to operators in the affected area and surrounding areas to stand by and procure fuel. Terminals play the role of delivering these instructions to operators. Specifically, a notification such as "Please begin standing by and preparing to procure fuel" is sent to the operators' mobile devices.

[1013] Active user tracking and location estimation

[1014] Next, the server tracks active users within the affected area. It analyzes location information periodically transmitted from user devices connected to the mobile network in the affected area to determine the user's current location and movement trajectory. This helps identify areas with high user density.

[1015] Determining the priority of base station recovery

[1016] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku.

[1017] Real-time updates on recovery status

[1018] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the server immediately updates the data and issues the next restoration instruction.

[1019] Notification of material supply plan and action plan

[1020] The server centrally manages information on remaining fuel, material stocks, and operator shifts necessary for recovery operations. Based on this, the server creates an optimal material supply plan and notifies operators of a specific action plan. The terminal then delivers the details of that plan to the operators.

[1021] Specific example

[1022] 1. Disaster Occurrence and Detection:

[1023] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1024] 2. Instructions for operators:

[1025] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[1026] 3. User tracking and location estimation:

[1027] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1028] 4. Determining the priority for base station restoration:

[1029] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[1030] 5. Update on recovery status:

[1031] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[1032] 6. Notification of material supply plan:

[1033] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[1034] conclusion

[1035] This invention provides a system that supports the rapid and efficient recovery of mobile communication networks during disasters through such a process. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[1036] The following describes the processing flow.

[1037] Step 1:

[1038] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[1039] Step 2:

[1040] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[1041] Step 3:

[1042] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[1043] Step 4:

[1044] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[1045] Step 5:

[1046] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[1047] Step 6:

[1048] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[1049] Step 7:

[1050] The server generates a list of base stations to prioritize for recovery, taking into account user density and the location of critical facilities. This list is sorted according to priority.

[1051] Step 8:

[1052] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[1053] Step 9:

[1054] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[1055] Step 10:

[1056] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[1057] Step 11:

[1058] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[1059] Step 12:

[1060] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[1061] (Example 1)

[1062] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1063] In the event of a disaster, there is a need for mobile communication networks to be restored quickly and efficiently. However, there is a lack of effective systems to smoothly carry out each step of the process, such as monitoring the commercial power supply of base stations, aggregating power outage information, and collecting and analyzing user location information. The objective of this invention is to solve this problem and realize the early restoration of communication networks in the event of a disaster.

[1064] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1065] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for collecting user location information within the affected area, means for analyzing the collected location information, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, and means for notifying operators of the action plan. This enables rapid and efficient restoration of the mobile communication network in the event of a disaster.

[1066] A "base station" is equipment used to communicate with mobile devices in a wireless communication network.

[1067] "Power status" refers to information indicating whether or not power is being supplied normally to each base station.

[1068] "Power outage" refers to a state in which the power supply is interrupted, and describes a situation in which a base station is unable to use commercial power.

[1069] "Wide-area power outage" refers to a situation where a certain number of base stations are simultaneously without power, resulting in a large-scale power outage across an entire region.

[1070] "Disaster occurrence" refers to a situation in which the normal operation of communication networks is disrupted due to natural disasters such as earthquakes and typhoons.

[1071] "Operator" refers to the engineers or personnel responsible for managing and operating the communication network.

[1072] "Standby and fuel procurement instructions" refers to instructions given to operators in the event of a disaster to stand by and prepare the necessary fuel.

[1073] "User" refers to individuals or corporations that use mobile communication networks.

[1074] "Location information" refers to data that indicates the current location of the user's device, and is obtained using GPS or similar methods.

[1075] "Element density" is an indicator that shows the proportion of users within a specific area.

[1076] The "base station restoration priority list" is a list indicating the priority order of base stations that should undergo restoration work.

[1077] "Recovery status" refers to information indicating the progress of restoring power and communication functions to base stations.

[1078] "Real-time updates" refers to a data update method that constantly reflects the latest state, rather than static data updates.

[1079] A "material supply plan" refers to a plan for supplying fuel and other materials necessary for recovery work.

[1080] An "action plan" refers to the specific procedures and schedules that operators use to carry out recovery work.

[1081] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. This system consists of multiple components, including servers, terminals, and users. Specific embodiments of this system are described below.

[1082] System Overview

[1083] The server is designed to monitor the power status of base stations and aggregate power outage information. The server receives real-time commercial power status data from each base station, analyzes this data, and counts the number of base stations experiencing power outages. For example, the server receives power supply status (normal / outage) data transmitted from each base station every minute.

[1084] Decision on widespread power outage

[1085] If the number of base stations experiencing power outages exceeds a certain threshold, the server will determine that a widespread power outage has occurred and initiate the disaster response process. For example, if 50 base stations in the Tokyo area experience power outages simultaneously, the server will detect a widespread power outage and determine that a disaster has occurred.

[1086] Instructions to the operator

[1087] If a disaster is detected, the server will issue instructions to operators in the affected area and surrounding areas to stand by and procure fuel. The terminal will then transmit these instructions to the operators' mobile devices. Specifically, the message "Please begin standing by and preparing to procure fuel" will be sent to the operators' mobile devices.

[1088] Tracking Active Users

[1089] The server periodically collects location information from active users within the disaster-stricken area. This location information is transmitted from user devices connected to a mobile network. For example, the server collects GPS data transmitted from user devices every few minutes and analyzes it to determine the user's current location and movement trajectory.

[1090] Determining the priority of base station recovery

[1091] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku. The server uses a GIS system to overlay user density and the locations of critical facilities to determine the priority.

[1092] Real-time updates on recovery status

[1093] While recovery work is underway, the server monitors its progress in real time. Once recovery is complete, the server immediately updates the data and issues the next recovery instruction. For example, when the server receives a recovery completion report, it immediately reflects that information in the database and issues a new recovery instruction to any base stations that have not yet recovered.

[1094] Notification of material supply plan and action plan

[1095] The server centrally manages information on the remaining fuel and materials needed for recovery work and creates an optimal material replenishment plan based on that information. Specifically, it uses a fuel consumption prediction algorithm to calculate the next replenishment time and predicted consumption. The created material replenishment plan is notified to the operator as specific action instructions. The terminal notifies the operator of the "next replenishment time and location".

[1096] Specific example

[1097] 1. Disaster Occurrence and Detection

[1098] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1099] 2. Instructions to the operator

[1100] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[1101] 3. User tracking and location estimation

[1102] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1103] 4. Determining the priority for base station restoration.

[1104] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[1105] 5. Update on recovery status

[1106] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[1107] 6. Notification of Material Supply Plan

[1108] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[1109] Example of a prompt

[1110] "After explaining the situation where a disaster has occurred and 50 base stations are without power, please explain how you collect location information from user terminals in the affected area and determine which base stations should be prioritized for restoration."

[1111] This invention supports the rapid and efficient recovery of mobile communication networks during disasters through these processes. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[1112] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1113] Step 1:

[1114] Power status received

[1115] Input: Commercial power status data transmitted from each base station (every minute)

[1116] Specific operation: The server receives power supply status data (normal / outage) transmitted from each base station every minute.

[1117] Output: List of commercial power status data

[1118] Step 2:

[1119] Summary of power outage information

[1120] Input: List of commercial power status data

[1121] Specific operation: The server analyzes the received data and creates a list of base stations that are experiencing power outages.

[1122] Output: Number of base stations experiencing power outages and a list of those base stations.

[1123] Step 3:

[1124] Decision on widespread power outage

[1125] Input: Number of base stations experiencing power outages

[1126] Specific operation: If the number of base stations experiencing power outages exceeds a certain threshold (e.g., 50 base stations), the server will determine that there is a widespread power outage.

[1127] Output: Widespread power outage flag (True / False)

[1128] Step 4:

[1129] Notification to operators

[1130] Input: Widespread power outage flag (true)

[1131] Specific actions: If a disaster is detected, the server will instruct operators in the affected area and surrounding areas to stand by and procure fuel. Specifically, it will generate a message saying, "Start standing by and prepare to procure fuel," and the terminal will send this message to the operators' mobile devices.

[1132] Output: Instruction message to the operator

[1133] Step 5:

[1134] Location information collection

[1135] Input: Location data from user devices within the disaster-stricken area (every few minutes)

[1136] Specific operation: The server periodically receives location information from active users within the affected area. It collects GPS data transmitted every few minutes from user devices connected to the mobile network.

[1137] Output: List of user location data

[1138] Step 6:

[1139] User location analysis

[1140] Input: List of user location data

[1141] Specific operation: The server analyzes the collected location information to determine the user's current location and movement trajectory. Specifically, it maps each user's location information to identify areas with high user density.

[1142] Output: User density map

[1143] Step 7:

[1144] Determining the priority of base station recovery

[1145] Input: User density map and location information of critical facilities

[1146] Specific operation: The server calculates the recovery priority of each base station based on user density and the location of critical facilities. It uses a GIS system to overlay user density and the locations of critical facilities and determines the priority based on the criteria.

[1147] Output: Base station recovery priority list

[1148] Step 8:

[1149] Real-time updates on recovery status

[1150] Input: Recovery progress data from base station

[1151] Specific operation: The server monitors the progress of the base station's recovery work in real time. Once recovery is complete, the server immediately updates the data in the database and issues the next recovery instruction.

[1152] Output: Latest recovery status data and next recovery instructions

[1153] Step 9:

[1154] Creating a materials supply plan

[1155] Input: Fuel and material remaining quantity information and consumption forecast data

[1156] Specific operation: The server creates a refueling plan based on information about the remaining fuel and materials needed for recovery work. It uses a fuel consumption prediction algorithm to calculate the next refueling time and predicted consumption.

[1157] Output: Material supply plan

[1158] Step 10:

[1159] Notification of action plan

[1160] Input: Material supply plan

[1161] Specific operation: The server notifies the operator of the created material supply plan as specific action instructions. The terminal notifies the operator of the "next supply time and location".

[1162] Output: Action instruction message for operators

[1163] (Application Example 1)

[1164] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1165] Restoring communication networks during disasters requires speed and efficiency, but currently, the inability to properly utilize power outage information and user location data leads to delays in restoration work. In particular, delays in priority restoration in areas with high user density and near critical facilities can reduce the efficiency of information dissemination and rescue operations.

[1166] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1167] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active terminals within the affected area, means for identifying areas with high terminal density based on location information, means for determining the optimal base station restoration order based on terminal density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for sending push notifications to operators' terminals, and means for visually displaying terminal density on a map. This enables rapid and efficient restoration of the communication network in the event of a disaster.

[1168] A "base station" is a wireless communication device used to form a mobile network, and it acts as a relay point for communication with mobile devices.

[1169] "Power status" refers to information indicating whether the base station is receiving power and operating normally, or whether there is a power outage.

[1170] "Number of base stations experiencing power outages" refers to the total number of base stations whose power supply was interrupted during widespread power outages or disasters.

[1171] "Wide-area power outage" refers to a situation where multiple base stations simultaneously lose power supply, and signifies a large-scale blackout area.

[1172] "Operator" refers to technical experts or workers who manage and operate communication networks.

[1173] A "standby and fuel procurement instruction" is a notification issued to operators in the event of a disaster, instructing them to stand by and prepare to procure the necessary fuel.

[1174] "Affected area" refers to the geographical area affected by a disaster.

[1175] "Devices in use" refers to user devices connected to the communication network within the disaster-stricken area.

[1176] "Location information" refers to data on the geographical coordinates of the device's current location.

[1177] "Device density" is an indicator that shows the number of active devices within a certain area, and is also called user density.

[1178] "Base station restoration priority" refers to the order in which base stations should be prioritized for restoration work in order to quickly restore the communication network.

[1179] "Recovery status" refers to information indicating the progress of recovery from power outages or system failures.

[1180] A "materials supply plan" is a detailed plan for procuring and supplying the materials and fuel necessary for recovery work.

[1181] An "action plan" is a plan that includes specific instructions for operators to carry out recovery work and procurement of materials efficiently.

[1182] A "push notification" is a real-time notification message that is automatically sent from a server to the operator's device.

[1183] "Means of visual display" refers to technologies for displaying information in visual formats such as maps and graphs.

[1184] The method for counting the number of base stations experiencing power outages is a method that automatically measures and compiles the number of base stations that are experiencing power outages.

[1185] Modes for carrying out the invention

[1186] This invention is a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. Specifically, it includes a server for monitoring the power status of each base station in real time, aggregating and analyzing power outage information, and a terminal application for providing notifications and action plans to operators. This system operates as follows:

[1187] System Configuration

[1188] hardware

[1189] Server: A high-performance server that collects and analyzes base station power status and user location information.

[1190] Terminal: A smartphone or tablet used by the operator to receive notifications and execute action plans.

[1191] Base station: Wireless communication equipment that forms a mobile network.

[1192] software

[1193] Framework: Flask (server-side web framework)

[1194] Map display library: Folium (Visualization of map information)

[1195] Communication Library: Requests (Data communication between server, base station, and terminal)

[1196] Program Processing Description

[1197] Server Processing

[1198] 1. Monitoring the power status:

[1199] The server periodically receives power status data from the base station and stores it.

[1200] The system counts the number of base stations that have experienced power outages, and if the number exceeds a certain threshold, it determines that a widespread power outage has occurred.

[1201] 2. Notification of instructions to operators:

[1202] When a widespread power outage is detected, the server sends a push notification to the operator's terminal, instructing them to stand by and prepare to procure fuel.

[1203] 3. Tracking user location information:

[1204] The server collects location information of users within the affected area and identifies areas with high terminal density.

[1205] This information is visually displayed on a map, and operators are notified of the optimal base station restoration order.

[1206] 4. Real-time recovery status updates:

[1207] The system monitors the recovery status of each base station in real time and resets recovery priorities according to the progress.

[1208] The server will notify the operator of the material supply plan as needed.

[1209] Terminal processing

[1210] 1. Receiving notifications:

[1211] The operator's terminal receives a push notification from the server and is instructed to stand by and prepare for fuel procurement.

[1212] 2. Implementing the action plan:

[1213] The operator will perform the optimal base station recovery work according to the action plan transmitted from the server.

[1214] The system uses map information displayed on the device as a reference and prioritizes restoring service to areas with high user density.

[1215] 3. Check real-time information:

[1216] The application on the device updates the recovery status in real time and receives instructions for the next course of action.

[1217] The terminal will also notify you of the timing for purchasing necessary supplies and refueling.

[1218] Specific example

[1219] For example, if the user density is high within the affected area, the following notification will be sent to the operator's device:

[1220] "Due to the high user density, please prioritize restoring base stations in this area."

[1221] Example of a prompt

[1222] System role: To support the rapid restoration of communication networks during disasters.

[1223] Key features: Real-time power status monitoring, power outage notifications, user density tracking, recovery priority list generation, and material supply plan notifications.

[1224] Specific example: If the user density is high within the affected area, the operator will be instructed to prioritize the restoration of base stations in that area.

[1225] Technology used: Flask, Requests, Folium

[1226] Implementing such a system will enable the rapid and efficient restoration of communication networks in the event of a disaster.

[1227] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1228] Step 1:

[1229] The server collects power status data from each base station. Specifically, it receives power status information periodically transmitted from each base station and stores it in a database. The input to this step is the power status data from the base stations, and the output is the updated database.

[1230] Step 2:

[1231] The server analyzes the power status data of each base station and counts the number of base stations experiencing power outages. If the number of base stations with power outages exceeds a predetermined number, it is determined to be a widespread power outage. The input for this step is the power status data saved in step 1, and the output is the number of base stations experiencing power outages and the result of the widespread power outage determination.

[1232] Step 3:

[1233] If a widespread power outage is detected, the server sends a push notification to the operator's terminal instructing them to stand by and procure fuel. The notification includes instructions and necessary preparations. The input for this step is the result of the widespread power outage detection, and the output is the notification sent to the operator's terminal.

[1234] Step 4:

[1235] The server collects location information of users within the affected area. It receives location data transmitted from each user terminal and stores it in a database. The input for this step is location data from the user terminal, and the output is the updated database.

[1236] Step 5:

[1237] The server identifies areas with high terminal density based on the collected location information. Specifically, it plots user locations on map data and analyzes the distribution of user density. The input for this step is the location data saved in step 4, and the output is a list of areas with high terminal density and a map display of that list.

[1238] Step 6:

[1239] The server determines the optimal base station restoration order based on location information of areas with high terminal density and critical facilities. It generates a list of base stations that should be restored with the highest priority and notifies the operator. The input for this step is the information of areas with high terminal density identified in step 5, and the output is the list of optimal base station restoration order.

[1240] Step 7:

[1241] The operator's terminal receives a list of base station recovery priority sent from the server and displays it visually on a map. Based on the displayed information, the operator proceeds with the recovery work. The input for this step is the list of base station recovery priority from the server, and the output is the map information displayed on the terminal.

[1242] Step 8:

[1243] The server monitors the recovery status of base stations in real time and resets recovery priorities as progress is made. It then notifies the operator again of the updated priority list. The input for this step is real-time recovery status data, and the output is the updated base station recovery priority list.

[1244] Step 9:

[1245] The server creates a supply plan for materials and fuel needed for recovery work and notifies the operator. The notification includes specific locations and times for material replenishment. The inputs for this step are recovery work progress data and material inventory data, and the output is the material replenishment plan.

[1246] Step 10:

[1247] The operator's terminal receives the material supply plan and carries out material procurement activities based on its contents. It reports the progress to the server as needed. The input for this step is the material supply plan from the server, and the output is a progress report of the material supply in progress.

[1248] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1249] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters, and further incorporates an emotion engine that recognizes user emotions to enable more sophisticated responses. The specific operation of this system is described below.

[1250] System Overview

[1251] The core of this system is the server. The server monitors the commercial power status of each base station in real time and compiles power outage information. In addition, by linking with the emotion engine, it also collects and analyzes user emotion information, making disaster response even more effective.

[1252] Commercial power supply monitoring and disaster detection

[1253] The server periodically receives power status data from each base station to determine whether they are operating normally or experiencing a power outage. It counts the number of base stations experiencing power outages, and if the number exceeds a certain threshold (e.g., 50 or more base stations without power), it determines that there is a widespread power outage and initiates the disaster response process.

[1254] Instructions to the operator

[1255] If a disaster is detected, the server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare to procure fuel. Terminals notify operators of these instructions. Upon receiving the instructions, operators enter a standby state and begin procuring fuel.

[1256] Active user tracking and location estimation

[1257] The server retrieves a list of active users connected to the mobile network within the affected area and analyzes location data to determine the users' current location and movement trajectory. This allows it to identify areas with high user density.

[1258] Integration with the emotion engine

[1259] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server.

[1260] Determining the priority of base station recovery

[1261] The server determines the optimal base station restoration order based on user location and emotional information. For example, it prioritizes restoration in areas with high user density and a large number of emotionally unstable users.

[1262] Real-time updates on recovery status

[1263] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the data is immediately updated and the next restoration instruction is issued.

[1264] Notification of material supply plan and action plan

[1265] The server centrally manages the remaining fuel levels, material stock information, and operator shift information necessary for recovery operations. It then creates an optimal material supply plan and notifies operators of the specific action plan. The terminal delivers the details of that plan to the operators.

[1266] Specific example

[1267] 1. Disaster Occurrence and Detection:

[1268] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1269] 2. Instructions for operators:

[1270] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators of this instruction.

[1271] 3. User tracking and location estimation:

[1272] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1273] 4. Integration with the emotion engine:

[1274] The server uses an emotion engine to analyze voice and text data collected from the user's device and recognize the user's emotional state (e.g., level of anxiety or stress).

[1275] 5. Determining the priority for base station restoration:

[1276] The server creates a list of areas in Shinjuku Ward that are prioritized for restoration if there are many emotionally unstable users in that area. The terminal notifies the operator of this list and gives specific instructions, such as "prioritize restoring base stations near Shinjuku West Exit Station."

[1277] 6. Update on recovery status:

[1278] The server confirms that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[1279] 7. Notification of material supply plan:

[1280] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location." The terminal then delivers this information to the operator.

[1281] 8. Implementing the action plan:

[1282] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[1283] conclusion

[1284] This invention provides an advanced system that supports the rapid and efficient recovery of mobile communication networks during disasters by combining an emotion engine at each step. The server monitors the situation in real time and issues optimal instructions, making the most of limited resources to achieve early recovery of the communication network, while also providing psychological support to users.

[1285] The following describes the processing flow.

[1286] Step 1:

[1287] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[1288] Step 2:

[1289] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[1290] Step 3:

[1291] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[1292] Step 4:

[1293] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[1294] Step 5:

[1295] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[1296] Step 6:

[1297] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[1298] Step 7:

[1299] The server works in conjunction with the emotion engine to collect and analyze the user's emotional information (anxiety, stress levels, etc.). The emotion engine recognizes emotions using voice, text, and facial expression data from the user's device and sends it to the server.

[1300] Step 8:

[1301] The server determines the optimal base station recovery priority based on user density and emotional information. For example, it prioritizes areas with high user density and a large number of emotionally unstable users.

[1302] Step 9:

[1303] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[1304] Step 10:

[1305] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[1306] Step 11:

[1307] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[1308] Step 12:

[1309] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[1310] Step 13:

[1311] Operators will initiate specific actions based on notifications from terminals to support the efficient restoration of the communication network. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[1312] Step 14:

[1313] Based on notifications from the server, users select appropriate evacuation actions and communication methods to ensure their own safety. Supported by an emotion engine, they can act with a sense of security.

[1314] (Example 2)

[1315] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1316] Conventional disaster recovery systems for mobile communication networks simply monitored the power status of base stations and reported power outages. This made it difficult to respond quickly and efficiently to widespread disasters, and information provided to users was limited. Furthermore, it was impossible to provide appropriate support that considered users' emotional states, resulting in insufficient psychological support. This led to delays in disaster response and increased user anxiety.

[1317] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining a wide-area power outage from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for collecting and analyzing user sentiment information, and means for determining the base station restoration order based on sentiment information and location information. This enables rapid and efficient restoration of the mobile communication network, as well as psychological support for users.

[1318] A "base station" is a wireless communication device used to communicate with terminals in a mobile communication network.

[1319] "Power status" refers to the state indicating whether or not commercial power is being supplied for the base station to function properly.

[1320] "Power outage" refers to a state in which commercial power is not supplied to the base station.

[1321] "Wide-area power outage" refers to a situation where multiple base stations within a certain range are simultaneously without power, and is an indicator of damage caused by disasters or other events.

[1322] "Operator" refers to a technician or specialist staff member responsible for the management and operation of a mobile communication network.

[1323] "Fuel procurement" refers to the activity of procuring fuel to operate emergency power sources (such as generators).

[1324] An "active user" refers to a user who is connected to a mobile communication network and is actively using the service.

[1325] "Location information" refers to data indicating the longitude and latitude of the user's current location.

[1326] "User density" is an indicator that shows the number of active users within a specific area.

[1327] "Emotional information" refers to data that indicates the emotional state of a user, and is obtained through voice analysis and text analysis.

[1328] "Recovery priority" refers to the order in which base station recovery work is prioritized.

[1329] "Recovery status" refers to the progress of restoring the power and communication functions of a base station.

[1330] A "materials supply plan" is a plan for supplying materials and fuel necessary for the restoration work of base stations.

[1331] An "action plan" is a plan that outlines specific instructions and schedules for operators to carry out recovery work efficiently.

[1332] An "emotion engine" is a device or software that analyzes a user's emotions and provides that information to the system.

[1333] Modes for carrying out the invention

[1334] The present invention relates to a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. This system includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users in the affected area, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for collecting and analyzing user sentiment information, and means for determining the base station restoration order based on sentiment information and location information.

[1335] The following describes the specific operation of the system. Each process is performed based on the roles of the server, terminal, and user.

[1336] Monitoring the status of commercial power supply

[1337] The server periodically receives power status data from each base station. Monitoring software (e.g., Nagios or Zabbix) is used to collect this data. The server reads the voltage and current values ​​of each base station at regular intervals and determines in real time whether they are operating normally or in a power outage state.

[1338] Disaster detection and initial response

[1339] The server analyzes the received power status data and counts the number of base stations experiencing power outages. If a certain threshold (e.g., more than 50 base stations experiencing power outages) is exceeded, it determines that a widespread power outage has occurred and initiates the disaster response process. Specifically, the server triggers an alert system and immediately notifies the disaster response team.

[1340] Instructions and notifications to operators

[1341] The server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare for fuel procurement. These instructions are communicated to operators via a dedicated smartphone app or tablet device. The device receives these instructions in real time and immediately notifies the operators.

[1342] Tracking Active Users

[1343] The server retrieves a list of active users connected to the mobile network within the affected area. It uses the Geolocation API to analyze location data. Specifically, the server obtains the user's longitude and latitude information via the API to determine the user's current location and movement trajectory.

[1344] User sentiment analysis using an emotion engine

[1345] The server works in conjunction with the emotion engine to collect and analyze user emotion information. The emotion engine analyzes audio data using speech analysis technology (e.g., Google Cloud Speech-to-Text) and text data using natural language processing technology (e.g., IBM Watson NLU). Specifically, the user sends data (audio, text) indicating their emotional state through their device.

[1346] Prioritizing the restoration of base stations

[1347] The server determines the optimal base station recovery order based on user location and emotional information. Specifically, base stations in areas with high density and a large number of emotionally unstable users are given the highest priority for recovery. The priority is determined as a list and notified to the operator.

[1348] Progress and status monitoring of recovery work

[1349] The server monitors the progress of the recovery process in real time. Dedicated dashboard software (e.g., Grafana) is used to visualize the recovery status and send information about the completion of the recovery to the server. The next recovery instruction is issued immediately.

[1350] Formulation and notification of material supply plans

[1351] The server centrally manages fuel levels, material stock information, and operator shift information. It creates an optimal material replenishment plan, and terminals notify operators of specific action plans. For example, it notifies operators of "the next scheduled replenishment time and location," and operators act according to the plan.

[1352] Specific example

[1353] 1. Disaster Occurrence and Detection

[1354] The server detects, using Nagios, that 50 base stations in the Tokyo area have simultaneously experienced a power outage, and determines that this is a widespread blackout.

[1355] 2. Instructions to the operator

[1356] The server instructs operators in Tokyo and neighboring areas to "begin standby and prepare for fuel procurement," and terminals notify operators of this instruction via a smartphone app.

[1357] 3. User tracking and location estimation

[1358] The server uses the Geolocation API to collect user location information and identifies that there is a concentration of users in Shinjuku Ward after the earthquake.

[1359] 4. Integration with the emotion engine

[1360] The server uses Google Cloud Speech-to-Text and IBM Watson NLU to analyze user emotions from speech and text data. For example, it can recognize levels of "anxiety."

[1361] 5. Determining the priority for base station restoration.

[1362] The server prioritizes areas in Shinjuku Ward with a high number of emotionally unstable users at the top of its list and notifies operators of specific instructions. The terminal notifies the user, "Prioritize restoring base stations near Shinjuku West Exit Station."

[1363] 6. Update on recovery status

[1364] The server uses Grafana to confirm that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[1365] 7. Notification of material supply plan

[1366] The server uses the ERP system to create a supply plan, notifying the operator of the "next scheduled supply time and location," and the terminal receives this information via a smartphone app.

[1367] 8. Implementing the action plan

[1368] Users will initiate specific actions based on notifications from their devices to support efficient network restoration efforts. Operators will carry out base station restoration work and replenish necessary materials and fuel according to the plan.

[1369] Example of a Generated AI Model Prompt

[1370] The following are examples of prompts to input to a generative AI model.

[1371] Please provide a detailed description of how the system operates to support the rapid and efficient restoration of mobile communication networks during disasters. Specifically, describe how it monitors commercial power and detects disasters, issues instructions to operators, tracks and estimates the location of active users, integrates with emotion engines, determines base station restoration priorities, provides real-time updates on restoration status, and notifies users of material supply and action plans. Please also include specific software and hardware names and examples.

[1372] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1373] Step 1:

[1374] Monitoring the status of commercial power supply

[1375] The server periodically receives power status data from each base station. Monitoring software is used to collect this data. Voltage and current values ​​from each base station are sent to the server as input. The server analyzes this data and determines in real time whether it is operating normally or in a power outage state. A list of the power status of each base station is generated as output. Specifically, the server reads voltage and current values ​​at regular intervals via Nagios or Zabbix and determines whether it is operating normally or in a power outage state.

[1376] Step 2:

[1377] Disaster detection and initial response

[1378] The server aggregates the received power status data and counts the number of base stations experiencing power outages. It uses the list of base station power statuses generated in step 1 as input. The server calculates the number of base stations experiencing power outages and determines whether a certain threshold has been exceeded. As output, a disaster detection flag is set, triggering initial response. Specifically, the server activates an alert system and notifies the disaster response team.

[1379] Step 3:

[1380] Instructions and notifications to operators

[1381] The server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare for fuel procurement. Information about the area experiencing widespread power outages is used as input. The server notifies operators of these instructions via a dedicated smartphone app or tablet device. The output is a command to stand by and procure fuel displayed on the operators' devices. Specifically, the devices receive notifications in real time and display the instructions to the operators.

[1382] Step 4:

[1383] Tracking Active Users

[1384] The server retrieves a list of active users connected to the mobile network within the disaster-stricken area. Mobile network connection information is provided to the server as input. The server uses the Geolocation API to analyze location data and determine the user's current location and movement trajectory. The output generates a list of the locations of active users within the disaster-stricken area. Specifically, the server obtains and analyzes the user's longitude and latitude information via the API.

[1385] Step 5:

[1386] User sentiment analysis using an emotion engine

[1387] The server works in conjunction with an emotion engine to collect and analyze user emotion information. Voice and text data are sent from the user's device to the server as input. The server recognizes the emotional state using speech analysis and natural language processing technologies. A list of the user's emotion information is generated as output. Specifically, the user sends voice and text data to the server using their device. The server analyzes this data using Google Cloud Speech-to-Text or IBM Watson NLU.

[1388] Step 6:

[1389] Prioritizing the restoration of base stations

[1390] The server determines the optimal base station recovery order based on user location and sentiment information. The location and sentiment information lists generated in steps 4 and 5 are used as input. The server analyzes this data and prioritizes base stations in areas with high density and a large number of emotionally unstable users for recovery. A priority list is generated as output. Specifically, the server generates the list and notifies the operator.

[1391] Step 7:

[1392] Progress and status monitoring of recovery work

[1393] The server monitors the progress of the recovery work in real time. Recovery progress data from each base station is sent to the server as input. The server visualizes the recovery status using dedicated dashboard software and sends information when recovery is complete to the server. A recovery status list updated in real time is generated as output. Specifically, the server uses Grafana to monitor the progress and issue the next recovery instruction.

[1394] Step 8:

[1395] Formulation and notification of material supply plans

[1396] The server centrally manages fuel levels, material stock information, and operator shift information. Inputs include material and fuel level data from each operator. The server creates an optimal replenishment plan and notifies operators of a specific action plan. Outputs include the replenishment plan and action plan displayed on the operator's terminal. In terms of specific actions, the terminal notifies the operator of the "next scheduled replenishment time and location," and the operator acts according to the plan.

[1397] (Application Example 2)

[1398] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1399] In the event of a disaster, it is necessary to restore mobile communication networks quickly and efficiently. However, conventional systems do not take into account the scale of the disaster or the psychological state of users in the affected areas, leading to delays in restoration work and exacerbating user anxiety. Furthermore, the supply of materials and fuel was not efficient, often resulting in delays in the restoration of communication networks.

[1400] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1401] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active users within the affected area, means for determining the optimal base station restoration order based on user density and emotional state, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for an automated mobile vehicle to deliver materials and fuel, and means for analyzing user emotional information and reflecting it in the restoration plan. This makes it possible to quickly and efficiently restore the mobile communication network even in the event of a disaster, reduce user anxiety, and optimize the supply of materials and fuel.

[1402] "Means for monitoring the power status of base stations" refers to devices or software that monitor the commercial power status of each base station in a mobile communication network in real time.

[1403] "Means for counting the number of base stations experiencing power outages" refers to a device or software that counts the number of base stations whose power supply has been cut off.

[1404] A "means for determining a wide-area power outage from the number of base stations experiencing power outages" refers to a device or software that analyzes the number of base stations experiencing power outages based on certain criteria and determines whether a widespread power outage has occurred based on the results.

[1405] "Means for issuing instructions to operators to stand by and procure fuel in the event of a disaster" refers to a device or software that automatically sends instructions to operators to stand by and procure fuel when a disaster is detected.

[1406] "Means for tracking the location of active users within the disaster-stricken area" refers to a device or software that collects and tracks location information of active users connected to a mobile communication network within the disaster-stricken area.

[1407] "Means for determining the optimal base station restoration order based on user density and emotional state" refers to a device or software that analyzes user location information and emotional data to determine the base station restoration order by prioritizing areas where many users gather and are emotionally unstable.

[1408] "Means for updating the recovery status in real time" refers to a device or software that monitors the progress of base station recovery work in real time and immediately updates that information.

[1409] "Means for creating an optimal material supply plan" refers to a device or software that automatically generates an efficient material supply plan based on forecasts of the consumption of materials and fuel necessary for disaster response.

[1410] "Means for notifying operators of action plans" refers to a device or software that automatically notifies operators of the created action plan and encourages them to take action.

[1411] "Means of delivering materials and fuel by automated vehicles" refers to devices or software that use autonomous vehicles or unmanned aircraft to automatically transport materials and fuel to their destination.

[1412] "Means for analyzing user emotional information and reflecting it in the recovery plan" refers to a device or software that recognizes the user's emotional state through voice or text data, facial expression analysis, etc., and optimizes the recovery plan based on that information.

[1413] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters, and further incorporates an emotion engine that recognizes user emotions to enable more sophisticated responses. The specific operation of this system is described below.

[1414] System Overview

[1415] The core of this system is the server. The server monitors the power status of each base station in real time and compiles power outage information. In addition, by linking with the emotion engine, it also collects and analyzes user emotion information, making disaster response even more effective.

[1416] Commercial power supply monitoring and disaster detection

[1417] The server periodically receives power status data from each base station to determine whether they are operating normally or experiencing a power outage. For example, power monitoring devices are installed to collect power status information from each base station, and this information is periodically sent to the server. The server counts the number of base stations experiencing power outages, and if this number exceeds a certain threshold (e.g., more than 50 base stations experiencing outages), it is determined to be a widespread power outage, and the disaster response process is initiated.

[1418] Integration with the emotion engine

[1419] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server. This emotional data is used to understand the user's anxiety and stress levels.

[1420] Determining the priority of base station recovery

[1421] The server determines the optimal base station recovery order based on user location and emotional information. For example, it prioritizes recovery in areas with high user density and a large number of emotionally unstable users. Specifically, it can use Google Cloud's Speech-to-Text API or Azure's Emotion API to perform emotional analysis and set recovery priorities based on the results.

[1422] Notification of material supply plan and action plan

[1423] The server centrally manages the remaining fuel levels, material stock information, and operator shift information necessary for recovery operations. It then creates an optimal material replenishment plan and notifies operators of a specific action plan. Materials and fuel can be automatically transported to their destinations using autonomous vehicles and drones.

[1424] Specific example

[1425] 1. Disaster Occurrence and Detection:

[1426] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1427] 2. Instructions for operators:

[1428] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators of this instruction.

[1429] 3. User tracking and location estimation:

[1430] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1431] 4. Integration with the emotion engine:

[1432] The server analyzes voice and text data collected from the user's device using an emotion engine to recognize the user's emotional state.

[1433] 5. Determining the priority for base station restoration:

[1434] The server creates a list of areas in Shinjuku Ward that are prioritized for restoration if there are many emotionally unstable users in that area. The terminal notifies the operator of this list and gives specific instructions, such as "prioritize restoring base stations near Shinjuku West Exit Station."

[1435] 6. Update on recovery status:

[1436] The server confirms that power has been restored at the Shinjuku West Exit base station, and then issues a power restoration instruction to the Shinjuku East Exit base station.

[1437] 7. Notification of material supply plan:

[1438] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location." The terminal then delivers this information to the operator.

[1439] 8. Implementing the action plan:

[1440] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[1441] Example of a prompt

[1442] Example prompt:

[1443] Scenario: An earthquake strikes Tokyo, causing simultaneous power outages at 50 base stations. Autonomous vehicles equipped with emotion engines monitor power outage information and user emotional states in real time to facilitate rapid restoration of the communication network. A server determines the optimal restoration priority based on user location and emotional information, and issues specific instructions to the autonomous vehicles.

[1444] 1. Please explain the types of data collected by autonomous vehicles and how they are analyzed.

[1445] 2. Please list the specific procedures that the server will take after detecting a disaster.

[1446] 3. Explain how user sentiment data will influence the recovery plan.

[1447] The above describes a specific embodiment for carrying out the invention. This enables the rapid and efficient restoration of mobile communication networks during disasters, thereby increasing user confidence.

[1448] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1449] Step 1:

[1450] The server monitors the power status of each base station. Specifically, the server receives power status data periodically transmitted from power monitoring devices. The input is power status information for each base station, and this information is stored in a database for real-time collection and management. The output is status information indicating whether the base station is functioning normally or experiencing a power outage.

[1451] Step 2:

[1452] The server counts the number of base stations experiencing power outages. It analyzes the power status data of each base station and counts the number of base stations experiencing power outages. The input is the power status information of the base stations collected in step 1. The output is the number of base stations experiencing power outages, which is stored in the server's memory.

[1453] Step 3:

[1454] The server determines a widespread power outage if the number of unpowered base stations exceeds a threshold and initiates the disaster response process. The input is the number of unpowered base stations obtained in step 2. If the number of unpowered base stations exceeds a specific threshold (e.g., 50 or more), the server determines a widespread power outage. The output is a disaster occurrence flag and its detailed information.

[1455] Step 4:

[1456] When a disaster occurs, the server issues instructions to the operators to stand by and procure fuel. The input is the disaster occurrence flag set in step 3. The server sends a notification to the operators instructing them to stand by and procure fuel via SMS, email, or a dedicated application. The output is the instruction message to the operators.

[1457] Step 5:

[1458] The server tracks the location of active users within the disaster-stricken area. The input is location data transmitted from the user's device. This data is collected using GPS and analyzed by the server. The output is each user's current location information, stored in the server's memory in real time.

[1459] Step 6:

[1460] The server collects and analyzes user emotional information using an emotion engine. Inputs include voice, text, and facial expression data obtained from the user's device. The emotion engine analyzes this data using APIs such as Google Cloud's Speech-to-Text API and Azure's Emotion API. The output is the user's emotional state (e.g., anxiety or stress level).

[1461] Step 7:

[1462] The server determines the optimal base station recovery order based on user location and sentiment information. The input is the user location and sentiment information obtained in steps 5 and 6. The server analyzes this data to identify areas with high user density and unstable sentiment. The output is a recovery priority list, which is notified to the operator.

[1463] Step 8:

[1464] The server updates the recovery status of base stations in real time and issues the next recovery instruction. The input is data on the progress of the recovery work. The server collects and analyzes this data in real time and updates the recovery status of base stations. The output is a list of base stations that need to be restored next, and this is also notified to the operator.

[1465] Step 9:

[1466] The server creates an optimal supply plan and notifies operators of specific action plans. Inputs include fuel levels, supply stock information, and operator shift information. The server integrates this data and creates a supply plan based on forecasts of supply and fuel consumption. Outputs are detailed information on the supply plan and action plan.

[1467] Step 10:

[1468] The user initiates specific actions based on notifications from the server, using autonomous vehicles and drones to deliver supplies and fuel. The input is the supply plan and action plan obtained in step 9. The user executes these instructions to help restore the communication network quickly and efficiently. The output is a report of the completion of the delivery of supplies and fuel to the base.

[1469] Through the steps described above, this system can support the rapid and efficient restoration of mobile communication networks in the event of a disaster, thereby enhancing users' sense of security.

[1470] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1471] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1472] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1473] [Fourth Embodiment]

[1474] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1475] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1476] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1477] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1478] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1479] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1480] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1481] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1482] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1483] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1484] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1485] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1486] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1487] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. The specific operation of this system is described below.

[1488] System Overview

[1489] First, the system is centered around a server. The server monitors the commercial power status of each base station in real time and compiles power outage information. If the number of base stations experiencing power outages exceeds a certain threshold, the server determines that there is a widespread power outage and initiates the disaster response process.

[1490] Commercial power supply monitoring and disaster detection

[1491] The server periodically receives power status data from each base station and counts the number of base stations experiencing power outages. For example, if 50 base stations in the Tokyo area experience simultaneous power outages, the server determines that this is a widespread power outage.

[1492] Instructions to the operator

[1493] If a disaster is detected, the server issues instructions to operators in the affected area and surrounding areas to stand by and procure fuel. Terminals play the role of delivering these instructions to operators. Specifically, a notification such as "Please begin standing by and preparing to procure fuel" is sent to the operators' mobile devices.

[1494] Active user tracking and location estimation

[1495] Next, the server tracks active users within the affected area. It analyzes location information periodically transmitted from user devices connected to the mobile network in the affected area to determine the user's current location and movement trajectory. This helps identify areas with high user density.

[1496] Determining the priority of base station recovery

[1497] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku.

[1498] Real-time updates on recovery status

[1499] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the server immediately updates the data and issues the next restoration instruction.

[1500] Notification of material supply plan and action plan

[1501] The server centrally manages information on remaining fuel, material stocks, and operator shifts necessary for recovery operations. Based on this, the server creates an optimal material supply plan and notifies operators of a specific action plan. The terminal then delivers the details of that plan to the operators.

[1502] Specific example

[1503] 1. Disaster Occurrence and Detection:

[1504] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1505] 2. Instructions for operators:

[1506] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[1507] 3. User tracking and location estimation:

[1508] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1509] 4. Determining the priority for base station restoration:

[1510] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[1511] 5. Update on recovery status:

[1512] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[1513] 6. Notification of material supply plan:

[1514] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[1515] conclusion

[1516] This invention provides a system that supports the rapid and efficient recovery of mobile communication networks during disasters through such a process. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[1517] The following describes the processing flow.

[1518] Step 1:

[1519] The server monitors the commercial power status of all base stations in real time. Specifically, it receives power status data periodically transmitted from the base stations and determines whether they are operating normally or experiencing a power outage.

[1520] Step 2:

[1521] The server aggregates the received power status data and counts the number of base stations experiencing power outages. If the number exceeds a certain threshold (e.g., 50 or more base stations without power), it is determined to be a widespread power outage.

[1522] Step 3:

[1523] If the server determines that there is a widespread power outage, it identifies operators in the affected area and surrounding areas and generates data instructing them to stand by and prepare for fuel procurement.

[1524] Step 4:

[1525] The terminal notifies the operator's mobile device of instructions to stand by and prepare for fuel procurement. Upon receiving the instructions, the operator enters a standby state and begins procuring fuel.

[1526] Step 5:

[1527] The server retrieves a list of active users connected to the mobile network in the affected area and analyzes location data to determine the users' current location and movement trajectory.

[1528] Step 6:

[1529] The server identifies areas with high user density based on the analyzed user location information. For example, if there is a high concentration of users in Shinjuku Ward, the server will be configured to prioritize recovery work in that area.

[1530] Step 7:

[1531] The server generates a list of base stations to prioritize for recovery, taking into account user density and the location of critical facilities. This list is sorted according to priority.

[1532] Step 8:

[1533] The terminal sends recovery instructions to the operator's mobile device based on the generated recovery list. These instructions may include specific details such as, "Prioritize restoring base stations near Shinjuku West Exit Station."

[1534] Step 9:

[1535] The server monitors the recovery status of base stations in real time and updates the data when recovery is complete. It then issues a new recovery instruction for the next priority base station.

[1536] Step 10:

[1537] In parallel with the progress of the recovery work, the server collects and analyzes fuel levels, material stock information, and operator shift information to create an optimal material replenishment plan.

[1538] Step 11:

[1539] The terminal notifies the operator of the created material supply plan. Specifically, it includes information such as, "The next supply is scheduled for AA, and the supply point is BB."

[1540] Step 12:

[1541] Users will take concrete actions based on notifications from their devices to help restore the communication network efficiently. Operators will carry out base station restoration work according to the plan and receive necessary supplies and fuel.

[1542] (Example 1)

[1543] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1544] In the event of a disaster, there is a need for mobile communication networks to be restored quickly and efficiently. However, there is a lack of effective systems to smoothly carry out each step of the process, such as monitoring the commercial power supply of base stations, aggregating power outage information, and collecting and analyzing user location information. The objective of this invention is to solve this problem and realize the early restoration of communication networks in the event of a disaster.

[1545] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1546] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for collecting user location information within the affected area, means for analyzing the collected location information, means for determining the optimal base station restoration order based on user density, means for updating the restoration status in real time, means for creating an optimal material supply plan, and means for notifying operators of the action plan. This enables rapid and efficient restoration of the mobile communication network in the event of a disaster.

[1547] A "base station" is equipment used to communicate with mobile devices in a wireless communication network.

[1548] "Power status" refers to information indicating whether or not power is being supplied normally to each base station.

[1549] "Power outage" refers to a state in which the power supply is interrupted, and describes a situation in which a base station is unable to use commercial power.

[1550] "Wide-area power outage" refers to a situation where a certain number of base stations are simultaneously without power, resulting in a large-scale power outage across an entire region.

[1551] "Disaster occurrence" refers to a situation in which the normal operation of communication networks is disrupted due to natural disasters such as earthquakes and typhoons.

[1552] "Operator" refers to the engineers or personnel responsible for managing and operating the communication network.

[1553] "Standby and fuel procurement instructions" refers to instructions given to operators in the event of a disaster to stand by and prepare the necessary fuel.

[1554] "User" refers to individuals or corporations that use mobile communication networks.

[1555] "Location information" refers to data that indicates the current location of the user's device, and is obtained using GPS or similar methods.

[1556] "Element density" is an indicator that shows the proportion of users within a specific area.

[1557] The "base station restoration priority list" is a list indicating the priority order of base stations that should undergo restoration work.

[1558] "Recovery status" refers to information indicating the progress of restoring power and communication functions to base stations.

[1559] "Real-time updates" refers to a data update method that constantly reflects the latest state, rather than static data updates.

[1560] A "material supply plan" refers to a plan for supplying fuel and other materials necessary for recovery work.

[1561] An "action plan" refers to the specific procedures and schedules that operators use to carry out recovery work.

[1562] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters. This system consists of multiple components, including servers, terminals, and users. Specific embodiments of this system are described below.

[1563] System Overview

[1564] The server is designed to monitor the power status of base stations and aggregate power outage information. The server receives real-time commercial power status data from each base station, analyzes this data, and counts the number of base stations experiencing power outages. For example, the server receives power supply status (normal / outage) data transmitted from each base station every minute.

[1565] Decision on widespread power outage

[1566] If the number of base stations experiencing power outages exceeds a certain threshold, the server will determine that a widespread power outage has occurred and initiate the disaster response process. For example, if 50 base stations in the Tokyo area experience power outages simultaneously, the server will detect a widespread power outage and determine that a disaster has occurred.

[1567] Instructions to the operator

[1568] If a disaster is detected, the server will issue instructions to operators in the affected area and surrounding areas to stand by and procure fuel. The terminal will then transmit these instructions to the operators' mobile devices. Specifically, the message "Please begin standing by and preparing to procure fuel" will be sent to the operators' mobile devices.

[1569] Tracking Active Users

[1570] The server periodically collects location information from active users within the disaster-stricken area. This location information is transmitted from user devices connected to a mobile network. For example, the server collects GPS data transmitted from user devices every few minutes and analyzes it to determine the user's current location and movement trajectory.

[1571] Determining the priority of base station recovery

[1572] The server generates a list of base stations to prioritize for restoration based on user density and the location of critical facilities. For example, if the user density is high in Shinjuku Ward, the server will instruct the server to prioritize the restoration of base stations around Shinjuku. The server uses a GIS system to overlay user density and the locations of critical facilities to determine the priority.

[1573] Real-time updates on recovery status

[1574] While recovery work is underway, the server monitors its progress in real time. Once recovery is complete, the server immediately updates the data and issues the next recovery instruction. For example, when the server receives a recovery completion report, it immediately reflects that information in the database and issues a new recovery instruction to any base stations that have not yet recovered.

[1575] Notification of material supply plan and action plan

[1576] The server centrally manages information on the remaining fuel and materials needed for recovery work and creates an optimal material replenishment plan based on that information. Specifically, it uses a fuel consumption prediction algorithm to calculate the next replenishment time and predicted consumption. The created material replenishment plan is notified to the operator as specific action instructions. The terminal notifies the operator of the "next replenishment time and location".

[1577] Specific example

[1578] 1. Disaster Occurrence and Detection

[1579] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1580] 2. Instructions to the operator

[1581] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators' mobile devices of this instruction.

[1582] 3. User tracking and location estimation

[1583] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1584] 4. Determining the priority for base station restoration.

[1585] The server creates a list of base stations around Shinjuku to be restored as a top priority and issues restoration instructions to operators. The terminal notifies the operator that "base stations near Shinjuku West Exit Station will be restored as a top priority."

[1586] 5. Update on recovery status

[1587] The server confirms that the base station at Shinjuku West Exit has been restored, and then issues instructions to restore the base station at Shinjuku East Exit.

[1588] 6. Notification of Material Supply Plan

[1589] The server creates a refueling plan based on fuel consumption forecasts and notifies the operator of the "next scheduled refueling time and location."

[1590] Example of a prompt

[1591] "After explaining the situation where a disaster has occurred and 50 base stations are without power, please explain how you collect location information from user terminals in the affected area and determine which base stations should be prioritized for restoration."

[1592] This invention supports the rapid and efficient recovery of mobile communication networks during disasters through these processes. By having a server monitor the situation in real time and issue optimal instructions, it maximizes the use of limited resources and achieves early recovery of the communication network.

[1593] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1594] Step 1:

[1595] Power status received

[1596] Input: Commercial power status data transmitted from each base station (every minute)

[1597] Specific operation: The server receives power supply status data (normal / outage) transmitted from each base station every minute.

[1598] Output: List of commercial power status data

[1599] Step 2:

[1600] Summary of power outage information

[1601] Input: List of commercial power status data

[1602] Specific operation: The server analyzes the received data and creates a list of base stations that are experiencing power outages.

[1603] Output: Number of base stations experiencing power outages and a list of those base stations.

[1604] Step 3:

[1605] Decision on widespread power outage

[1606] Input: Number of base stations experiencing power outages

[1607] Specific operation: If the number of base stations experiencing power outages exceeds a certain threshold (e.g., 50 base stations), the server will determine that there is a widespread power outage.

[1608] Output: Widespread power outage flag (True / False)

[1609] Step 4:

[1610] Notification to operators

[1611] Input: Widespread power outage flag (true)

[1612] Specific actions: If a disaster is detected, the server will instruct operators in the affected area and surrounding areas to stand by and procure fuel. Specifically, it will generate a message saying, "Start standing by and prepare to procure fuel," and the terminal will send this message to the operators' mobile devices.

[1613] Output: Instruction message to the operator

[1614] Step 5:

[1615] Location information collection

[1616] Input: Location data from user devices within the disaster-stricken area (every few minutes)

[1617] Specific operation: The server periodically receives location information from active users within the affected area. It collects GPS data transmitted every few minutes from user devices connected to the mobile network.

[1618] Output: List of user location data

[1619] Step 6:

[1620] User location analysis

[1621] Input: List of user location data

[1622] Specific operation: The server analyzes the collected location information to determine the user's current location and movement trajectory. Specifically, it maps each user's location information to identify areas with high user density.

[1623] Output: User density map

[1624] Step 7:

[1625] Determining the priority of base station recovery

[1626] Input: User density map and location information of critical facilities

[1627] Specific operation: The server calculates the recovery priority of each base station based on user density and the location of critical facilities. It uses a GIS system to overlay user density and the locations of critical facilities and determines the priority based on the criteria.

[1628] Output: Base station recovery priority list

[1629] Step 8:

[1630] Real-time updates on recovery status

[1631] Input: Recovery progress data from base station

[1632] Specific operation: The server monitors the progress of the base station's recovery work in real time. Once recovery is complete, the server immediately updates the data in the database and issues the next recovery instruction.

[1633] Output: Latest recovery status data and next recovery instructions

[1634] Step 9:

[1635] Creating a materials supply plan

[1636] Input: Fuel and material remaining quantity information and consumption forecast data

[1637] Specific operation: The server creates a refueling plan based on information about the remaining fuel and materials needed for recovery work. It uses a fuel consumption prediction algorithm to calculate the next refueling time and predicted consumption.

[1638] Output: Material supply plan

[1639] Step 10:

[1640] Notification of action plan

[1641] Input: Material supply plan

[1642] Specific operation: The server notifies the operator of the created material supply plan as specific action instructions. The terminal notifies the operator of the "next supply time and location".

[1643] Output: Action instruction message for operators

[1644] (Application Example 1)

[1645] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1646] Restoring communication networks during disasters requires speed and efficiency, but currently, the inability to properly utilize power outage information and user location data leads to delays in restoration work. In particular, delays in priority restoration in areas with high user density and near critical facilities can reduce the efficiency of information dissemination and rescue operations.

[1647] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1648] In this invention, the server includes means for monitoring the power status of base stations, means for counting the number of base stations experiencing power outages, means for determining widespread power outages from the number of base stations experiencing power outages, means for issuing standby and fuel procurement instructions to operators in the event of a disaster, means for tracking the location of active terminals within the affected area, means for identifying areas with high terminal density based on location information, means for determining the optimal base station restoration order based on terminal density, means for updating the restoration status in real time, means for creating an optimal material supply plan, means for notifying operators of the action plan, means for sending push notifications to operators' terminals, and means for visually displaying terminal density on a map. This enables rapid and efficient restoration of the communication network in the event of a disaster.

[1649] A "base station" is a wireless communication device used to form a mobile network, and it acts as a relay point for communication with mobile devices.

[1650] "Power status" refers to information indicating whether the base station is receiving power and operating normally, or whether there is a power outage.

[1651] "Number of base stations experiencing power outages" refers to the total number of base stations whose power supply was interrupted during widespread power outages or disasters.

[1652] "Wide-area power outage" refers to a situation where multiple base stations simultaneously lose power supply, and signifies a large-scale blackout area.

[1653] "Operator" refers to technical experts or workers who manage and operate communication networks.

[1654] A "standby and fuel procurement instruction" is a notification issued to operators in the event of a disaster, instructing them to stand by and prepare to procure the necessary fuel.

[1655] "Affected area" refers to the geographical area affected by a disaster.

[1656] "Devices in use" refers to user devices connected to the communication network within the disaster-stricken area.

[1657] "Location information" refers to data on the geographical coordinates of the device's current location.

[1658] "Device density" is an indicator that shows the number of active devices within a certain area, and is also called user density.

[1659] "Base station restoration priority" refers to the order in which base stations should be prioritized for restoration work in order to quickly restore the communication network.

[1660] "Recovery status" refers to information indicating the progress of recovery from power outages or system failures.

[1661] A "materials supply plan" is a detailed plan for procuring and supplying the materials and fuel necessary for recovery work.

[1662] An "action plan" is a plan that includes specific instructions for operators to carry out recovery work and procurement of materials efficiently.

[1663] A "push notification" is a real-time notification message that is automatically sent from a server to the operator's device.

[1664] "Means of visual display" refers to technologies for displaying information in visual formats such as maps and graphs.

[1665] The method for counting the number of base stations experiencing power outages is a method that automatically measures and compiles the number of base stations that are experiencing power outages.

[1666] Modes for carrying out the invention

[1667] This invention is a system that supports the rapid and efficient restoration of mobile communication networks in the event of a disaster. Specifically, it includes a server for monitoring the power status of each base station in real time, aggregating and analyzing power outage information, and a terminal application for providing notifications and action plans to operators. This system operates as follows:

[1668] System Configuration

[1669] hardware

[1670] Server: A high-performance server that collects and analyzes base station power status and user location information.

[1671] Terminal: A smartphone or tablet used by the operator to receive notifications and execute action plans.

[1672] Base station: Wireless communication equipment that forms a mobile network.

[1673] software

[1674] Framework: Flask (server-side web framework)

[1675] Map display library: Folium (Visualization of map information)

[1676] Communication Library: Requests (Data communication between server, base station, and terminal)

[1677] Program Processing Description

[1678] Server Processing

[1679] 1. Monitoring the power status:

[1680] The server periodically receives power status data from the base station and stores it.

[1681] The system counts the number of base stations that have experienced power outages, and if the number exceeds a certain threshold, it determines that a widespread power outage has occurred.

[1682] 2. Notification of instructions to operators:

[1683] When a widespread power outage is detected, the server sends a push notification to the operator's terminal, instructing them to stand by and prepare to procure fuel.

[1684] 3. Tracking user location information:

[1685] The server collects location information of users within the affected area and identifies areas with high terminal density.

[1686] This information is visually displayed on a map, and operators are notified of the optimal base station restoration order.

[1687] 4. Real-time recovery status updates:

[1688] The system monitors the recovery status of each base station in real time and resets recovery priorities according to the progress.

[1689] The server will notify the operator of the material supply plan as needed.

[1690] Terminal processing

[1691] 1. Receiving notifications:

[1692] The operator's terminal receives a push notification from the server and is instructed to stand by and prepare for fuel procurement.

[1693] 2. Implementing the action plan:

[1694] The operator will perform the optimal base station recovery work according to the action plan transmitted from the server.

[1695] The system uses map information displayed on the device as a reference and prioritizes restoring service to areas with high user density.

[1696] 3. Check real-time information:

[1697] The application on the device updates the recovery status in real time and receives instructions for the next course of action.

[1698] The terminal will also notify you of the timing for purchasing necessary supplies and refueling.

[1699] Specific example

[1700] For example, if the user density is high within the affected area, the following notification will be sent to the operator's device:

[1701] "Due to the high user density, please prioritize restoring base stations in this area."

[1702] Example of a prompt

[1703] System role: To support the rapid restoration of communication networks during disasters.

[1704] Key features: Real-time power status monitoring, power outage notifications, user density tracking, recovery priority list generation, and material supply plan notifications.

[1705] Specific example: If the user density is high within the affected area, the operator will be instructed to prioritize the restoration of base stations in that area.

[1706] Technology used: Flask, Requests, Folium

[1707] Implementing such a system will enable the rapid and efficient restoration of communication networks in the event of a disaster.

[1708] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1709] Step 1:

[1710] The server collects power status data from each base station. Specifically, it receives power status information periodically transmitted from each base station and stores it in a database. The input to this step is the power status data from the base stations, and the output is the updated database.

[1711] Step 2:

[1712] The server analyzes the power status data of each base station and counts the number of base stations experiencing power outages. If the number of base stations with power outages exceeds a predetermined number, it is determined to be a widespread power outage. The input for this step is the power status data saved in step 1, and the output is the number of base stations experiencing power outages and the result of the widespread power outage determination.

[1713] Step 3:

[1714] If a widespread power outage is detected, the server sends a push notification to the operator's terminal instructing them to stand by and procure fuel. The notification includes instructions and necessary preparations. The input for this step is the result of the widespread power outage detection, and the output is the notification sent to the operator's terminal.

[1715] Step 4:

[1716] The server collects location information of users within the affected area. It receives location data transmitted from each user terminal and stores it in a database. The input for this step is location data from the user terminal, and the output is the updated database.

[1717] Step 5:

[1718] The server identifies areas with high terminal density based on the collected location information. Specifically, it plots user locations on map data and analyzes the distribution of user density. The input for this step is the location data saved in step 4, and the output is a list of areas with high terminal density and a map display of that list.

[1719] Step 6:

[1720] The server determines the optimal base station restoration order based on location information of areas with high terminal density and critical facilities. It generates a list of base stations that should be restored with the highest priority and notifies the operator. The input for this step is the information of areas with high terminal density identified in step 5, and the output is the list of optimal base station restoration order.

[1721] Step 7:

[1722] The operator's terminal receives a list of base station recovery priority sent from the server and displays it visually on a map. Based on the displayed information, the operator proceeds with the recovery work. The input for this step is the list of base station recovery priority from the server, and the output is the map information displayed on the terminal.

[1723] Step 8:

[1724] The server monitors the recovery status of base stations in real time and resets recovery priorities as progress is made. It then notifies the operator again of the updated priority list. The input for this step is real-time recovery status data, and the output is the updated base station recovery priority list.

[1725] Step 9:

[1726] The server creates a supply plan for materials and fuel needed for recovery work and notifies the operator. The notification includes specific locations and times for material replenishment. The inputs for this step are recovery work progress data and material inventory data, and the output is the material replenishment plan.

[1727] Step 10:

[1728] The operator's terminal receives the material supply plan and carries out material procurement activities based on its contents. It reports the progress to the server as needed. The input for this step is the material supply plan from the server, and the output is a progress report of the material supply in progress.

[1729] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1730] This invention relates to a system that supports the rapid and efficient restoration of mobile communication networks during disasters, and further incorporates an emotion engine that recognizes user emotions to enable more sophisticated responses. The specific operation of this system is described below.

[1731] System Overview

[1732] The core of this system is the server. The server monitors the commercial power status of each base station in real time and compiles power outage information. In addition, by linking with the emotion engine, it also collects and analyzes user emotion information, making disaster response even more effective.

[1733] Commercial power supply monitoring and disaster detection

[1734] The server periodically receives power status data from each base station to determine whether they are operating normally or experiencing a power outage. It counts the number of base stations experiencing power outages, and if the number exceeds a certain threshold (e.g., 50 or more base stations without power), it determines that there is a widespread power outage and initiates the disaster response process.

[1735] Instructions to the operator

[1736] If a disaster is detected, the server identifies operators in the affected area and surrounding areas and instructs them to stand by and prepare to procure fuel. Terminals notify operators of these instructions. Upon receiving the instructions, operators enter a standby state and begin procuring fuel.

[1737] Active user tracking and location estimation

[1738] The server retrieves a list of active users connected to the mobile network within the affected area and analyzes location data to determine the users' current location and movement trajectory. This allows it to identify areas with high user density.

[1739] Integration with the emotion engine

[1740] The server works in conjunction with the emotion engine to collect and analyze user emotional information. The emotion engine recognizes the emotional state using data such as voice, text, and facial expressions from the user's device and sends it to the server.

[1741] Determining the priority of base station recovery

[1742] The server determines the optimal base station restoration order based on user location and emotional information. For example, it prioritizes restoration in areas with high user density and a large number of emotionally unstable users.

[1743] Real-time updates on recovery status

[1744] As the base station restoration work progresses, the server monitors the restoration status in real time. When information indicating that the restoration is complete is sent to the server, the data is immediately updated and the next restoration instruction is issued.

[1745] Notification of material supply plan and action plan

[1746] The server centrally manages the remaining fuel levels, material stock information, and operator shift information necessary for recovery operations. It then creates an optimal material supply plan and notifies operators of the specific action plan. The terminal delivers the details of that plan to the operators.

[1747] Specific example

[1748] 1. Disaster Occurrence and Detection:

[1749] If 50 base stations in the Tokyo area experience a simultaneous power outage, the server will detect a widespread power outage and determine that a disaster has occurred.

[1750] 2. Instructions for operators:

[1751] The server instructs operators in Tokyo and surrounding areas to "begin standby and prepare for fuel procurement." The terminal notifies the operators of this instruction.

[1752] 3. User tracking and location estimation:

[1753] The server collects location information from users connected to the mobile network and identifies that users are concentrated in Shinjuku Ward.

[1754] 4. Integration with the emotion engine:

[1755] The server uses an emotion engine to analyze voice and text data collected from the user's device and recognize the user's emotional state (e.g., level of anxiety or stress).

[1756] 5. Determining the priority for base station restoration:

[1757] The server creates a list of areas in Shinjuku Ward th...

Claims

1. Means for monitoring the power status of the base station, A means of counting the number of base stations experiencing power outages, A method for determining widespread power outages based on the number of base stations affected by power outages, A means of issuing instructions to operators to stand by and procure fuel in the event of a disaster, A means of tracking the location of active users within the disaster-stricken area, A means for determining the optimal base station recovery order based on user density, A means of updating the recovery status in real time, Means for creating an optimal materials supply plan, A system that includes means for notifying operators of the action plan.

2. The system according to claim 1, further comprising means for analyzing the movement trajectories of users within a disaster-stricken area to identify densely populated areas.

3. The system according to claim 1, comprising means for constantly monitoring the progress of power restoration and base station restoration and resetting the restoration priority.

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