system

Abstract

We provide the system. [Solution] A means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified boundary value, A means of monitoring the inventory status of multiple supplies and automatically resupplying them when they fall below a set threshold, A means of acquiring real-time data on transportation routes and supply chains and dynamically improving delivery plans, A means of providing a dialogue agent to analyze the physical condition and needs of evacuees, and to provide appropriate assistance based on the results of that analysis, A means of providing residents with real-time disaster response information within the region and recommending necessary support, A system that includes this.

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, the method including: 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 disaster relief activities at evacuation shelters, it is difficult to quickly and accurately grasp the diverse needs and health conditions of evacuees, and there is a problem that the logistics for providing appropriate relief supplies are delayed. In addition, if the environmental management in the evacuation shelter is insufficient, it may damage the health of evacuees, and the lack of necessary equipment may hinder the smooth operation of the evacuation shelter. There is a need for a method to solve these problems and ensure effective and efficient support during evacuation.

Means for Solving the Problems

[0005] This invention includes means for monitoring weather information acquired from environmental sensors in real time and automatically controlling climate control devices when a predetermined threshold is exceeded. It also prevents shortages of equipment by monitoring the inventory of multiple items and automatically replenishing them when the inventory falls below a threshold. Furthermore, it avoids delays in the supply of goods by collecting and analyzing information on transportation routes and supply networks and dynamically optimizing logistics plans. In addition, it includes means for providing appropriate support through an interactive agent that analyzes the health status and needs of evacuees, thereby providing a system that enables rapid and effective support during disasters.

[0006] An "environmental sensor" is a device that measures weather information such as temperature, humidity, and carbon dioxide concentration in real time and acquires data.

[0007] A "climate control device" is a device that automatically controls air conditioning and ventilation based on data obtained from environmental sensors to maintain an optimal indoor environment.

[0008] "Equipment" refers to the general term for supplies used in evacuation shelters, including food, medicine, and other necessities.

[0009] "Inventory monitoring" is a method of checking the quantity and status of multiple supplies in real time to prevent stockouts.

[0010] A "threshold" is a threshold value that indicates the acceptable range for a monitored parameter (e.g., temperature or inventory level), and it is the criterion by which the system takes action if this threshold is exceeded.

[0011] "Transportation routes" refer to roads and pathways used for transporting goods, and include elements that affect the logistics of goods.

[0012] A "supply network" refers to a network intended for the distribution and supply of goods, encompassing routes and management systems for efficient logistics.

[0013] "Logistics planning" refers to establishing the optimal routes and schedules for the movement of goods in order to improve the efficiency of logistics.

[0014] A "conversational agent" is a program that uses natural language to communicate with users and understand their needs and health status. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This 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]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one 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), APU (Accelerated Processing Unit), etc.

[0019] In the following embodiments, the numbered RAM (Random Access Memory) is a memory where information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disk (e.g., hard disk), or magnetic tape, etc.

[0021] 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).

[0022] 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."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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".

[0036] This invention is a system for facilitating support activities in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users.

[0037] First, environmental sensors connected to the terminal continuously measure temperature, humidity, CO2 concentration, etc., and transmit this data to the server. The server analyzes the received data and generates commands to control the air conditioning and ventilation systems if they exceed predetermined thresholds. For example, if the indoor temperature exceeds 30 degrees Celsius, the server sends a signal to activate the air conditioning system, automatically maintaining a comfortable environment.

[0038] Next, inventory data for multiple pieces of equipment is recorded using a terminal. The server monitors this inventory data in real time, and if an item falls below a set threshold, it automatically places a replenishment order. For example, if the stock of emergency food falls below 50 servings, the server automatically sends an order for 100 servings to the supplier.

[0039] Furthermore, the server obtains traffic information and supply status from external data sources and evaluates the condition of transportation routes and supply networks. In the event of road closures or power supply problems, it optimizes logistics plans, calculates new delivery routes, and notifies relevant parties. This optimizes the delivery of goods, allowing them to reach shelters quickly.

[0040] Finally, users can use their devices to interact with an AI chatbot and report their health status and necessary supplies. The server analyzes this information, determines the appropriate supplies, and suggests them to the user. It can also notify support staff to ensure appropriate assistance is provided. For example, if a user reports a cough or chills, the server generates payment requests for a blanket and cold medicine and allocates them from inventory.

[0041] This invention enables real-time environmental management, rapid provision of supplies, and appropriate support, thereby solving the challenges in managing evacuation shelters during disasters.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. This allows environmental information within the evacuation center to be aggregated on the server in real time.

[0045] Step 2:

[0046] The server analyzes the environmental data it receives and determines whether it exceeds a set threshold. For example, if the temperature exceeds 30 degrees Celsius, it determines that the environment is not comfortable.

[0047] Step 3:

[0048] The server sends commands to the air conditioning and ventilation systems as needed. If the temperature is high, it adjusts the temperature by sending a cooling command to the air conditioning system.

[0049] Step 4:

[0050] The terminal periodically checks the inventory of supplies and sends the latest inventory data to the server. The inventory data is updated using barcodes or RFID.

[0051] Step 5:

[0052] The server checks the inventory level of each piece of equipment and detects items that have fallen below a threshold. If an item is below the threshold, it determines that replenishment is necessary.

[0053] Step 6:

[0054] The server automatically generates replenishment orders for any missing supplies and sends them to suppliers. For example, if emergency food supplies run low, it will send an additional order via email.

[0055] Step 7:

[0056] The server obtains traffic conditions and supply chain status from external information providers. This allows it to gather the information necessary to calculate the optimal delivery route for goods.

[0057] Step 8:

[0058] The server optimizes the logistics plan based on that information. If a problem is found, it calculates an alternative route and notifies the logistics team.

[0059] Step 9:

[0060] Users interact with an AI chatbot through their device, inputting their health status and the need for relief supplies. This allows for the collection of individual evacuee needs.

[0061] Step 10:

[0062] The server analyzes information from users to identify appropriate support supplies and services. For example, it might select to provide medication to a user complaining of a cough.

[0063] Step 11:

[0064] Based on the analysis results, the server makes suggestions to the user and, if necessary, issues instructions to provide the appropriate items from inventory. The user can provide feedback on the suggested items and services.

[0065] (Example 1)

[0066] 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."

[0067] In disaster relief shelters, it is crucial to quickly and effectively manage changes in environmental conditions and shortages of supplies, and to provide appropriate support to evacuees. However, conventional methods have faced challenges in real-time environmental control, automated replenishment of supplies, and optimizing support based on the health status of evacuees. It is necessary to solve these problems and streamline the operation of disaster relief shelters.

[0068] 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.

[0069] In this invention, the server includes means for immediately monitoring environmental conditions obtained from an environmental detection device and automatically operating an environmental adjustment device if a set limit value is exceeded; means for monitoring the quantities of multiple materials and automatically replenishing them if they fall below a set threshold; and means for immediately collecting information on transportation routes and supply systems and variably optimizing the logistics plan. This enables real-time environmental management during disasters, automation of material replenishment, and rapid optimization of logistics plans.

[0070] An "environmental detection device" is a device that measures and collects physical environmental data (e.g., temperature, humidity, CO2 concentration, etc.).

[0071] An "environmental adjustment device" is a device used to adjust environmental conditions based on measured environmental data, and examples include air conditioning systems and ventilation systems.

[0072] "Materials" is a general term for items and equipment necessary for the operation of evacuation shelters, and includes emergency food and medical supplies.

[0073] A "conversational interface" is software equipped with artificial intelligence that has the ability to interact with the user, analyzing user input and providing appropriate information and services.

[0074] "Logistics planning" refers to the process of formulating a plan for transporting goods and determining the optimal route and method as needed.

[0075] The present invention provides a system that supports the operation of evacuation shelters during disasters by utilizing the interaction of servers, terminals, and users. This system combines hardware and software such as environmental sensors, air conditioning systems, inventory management systems, and AI chatbots to collect and analyze information in real time and perform automatic control.

[0076] First, the terminal connects to environmental sensors and continuously measures environmental data such as temperature, humidity, and CO2 concentration, transmitting this data to a server. The server performs real-time analysis based on this data and sends a command to the air conditioning system if a predetermined threshold is exceeded. This operation automatically optimizes the environment within the facility.

[0077] Furthermore, users input equipment inventory data using a terminal. The server then monitors the inventory status, and if the equipment falls below a set threshold, it automatically places an order with the supplier immediately.

[0078] Furthermore, the server periodically acquires external traffic and supply information to optimize logistics plans in real time. In the event of road closures or supply disruptions, a new delivery route is calculated and immediately notified to all relevant parties.

[0079] Using an AI chatbot, users can report their health status and necessary supplies. This information is processed on a server, which then provides specific assistance suggestions and notifies the appropriate personnel.

[0080] For example, if the temperature inside the evacuation center exceeds 30 degrees Celsius, the server will issue a command to activate the air conditioning, immediately creating a comfortable environment. Also, if the stock of emergency food falls below 50 meals, an additional 100 meals will be automatically ordered.

[0081] Examples of prompts that utilize the generative AI model include: "The temperature in the evacuation center is high; please suggest what measures should be taken if necessary," and "Based on the current inventory situation, please predict when the next order should be placed."

[0082] In this form, the present invention efficiently supports the operation of evacuation shelters during disasters and provides prompt and accurate assistance.

[0083] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0084] Step 1:

[0085] The terminal is connected to an environmental sensor and periodically measures environmental data such as temperature, humidity, and CO2 concentration. The measured data is stored in the terminal and sent to the server every few minutes. Based on this input data, the server monitors and analyzes the environmental conditions in real time. If a threshold is exceeded, a control signal is generated to operate the air conditioning system. In this case, if the measured temperature exceeds 30 degrees Celsius, a command to start the air conditioner is issued.

[0086] Step 2:

[0087] Users record the incoming and outgoing shipments of various supplies using a terminal. The entered inventory data is aggregated on a server, and the stock levels are monitored in real time. Based on this inventory data, the server automatically places orders for replenishment when levels fall below a threshold. For example, if the stock of emergency food falls below 50 servings, a replenishment order for 100 servings is generated and sent to the supplier.

[0088] Step 3:

[0089] The server periodically retrieves traffic and supply information from external data sources. Based on this input data, it evaluates the current logistics situation and calculates new delivery routes as needed. If road closures are detected, the server immediately calculates the optimal transportation plan and notifies the relevant parties.

[0090] Step 4:

[0091] Users interact with an AI chatbot through their device, reporting their health status and necessary supplies. The entered information is sent to a server for analysis. Based on the results of this analysis, suggestions for necessary relief supplies and notifications to support personnel are made. If a user reports symptoms such as coughing or chills, the server will suggest providing blankets and medication.

[0092] Each step involves automated operations, and the program is designed to efficiently support the management of evacuation shelters.

[0093] (Application Example 1)

[0094] 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."

[0095] Managing evacuation shelters during disasters presents a wide range of challenges. These include proper management of the environment within the shelters, rapid and accurate supply of goods, optimization of supply routes in accordance with the state of transportation networks, and implementation of appropriate support based on the health status of residents. This invention aims to solve these complex problems in real time and provide residents with a safe and secure evacuation shelter environment.

[0096] 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.

[0097] In this invention, the server includes means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified threshold value; means for monitoring the inventory status of multiple supplies and automatically replenishing them when they fall below a set threshold; and means for providing residents with disaster response information within the region in real time and recommending necessary support. This makes it possible to optimally manage the environment within evacuation centers even during disasters, prevent shortages of supplies, and provide timely and effective support to residents.

[0098] An "environmental measurement device" is a device that continuously acquires environmental data such as temperature, humidity, and carbon dioxide concentration, and provides it to a designated system in real time.

[0099] A "climate adjustment unit" is a device that automatically operates based on data from environmental measurement equipment to adjust air conditioning and ventilation.

[0100] "Stock status of supplies" refers to information indicating the quantity and usage status of items such as food and medicine within evacuation shelters.

[0101] "Automatic replenishment" is a process that automatically replenishes necessary supplies when inventory falls below a set threshold.

[0102] "Disaster response information" refers to information related to the operation of evacuation centers and necessary support measures for residents during a disaster.

[0103] In this application, a server takes the lead in implementing each function. The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental monitoring devices and analyzes it in real time using software such as Python or Django. Based on the results, it automatically operates the climate control unit to maintain a comfortable environment.

[0104] The server also monitors the inventory status of multiple supplies and automatically replenishes them when they fall below a set point. It uses the Django framework to interact with a database and send replenishment instructions to an external supply system. React is used to provide an interface in this process, displaying the current supply status to the user.

[0105] Furthermore, the server provides residents with real-time disaster preparedness information within their area. This is achieved by notifying smartphones and smart glasses of appropriate information from the server based on environmental data and the status of transportation networks. Users can then make necessary decisions during a disaster based on the information provided.

[0106] For example, if a sudden rise in room temperature is detected in an evacuation center in a certain area, the server will immediately send a signal to adjust the air conditioning system and warn the evacuees. Furthermore, if some supplies are running low, the system will notify suppliers in real time and coordinate appropriate replenishment.

[0107] An example of a prompt might be, "Please tell me how the system can help users receive the best possible support based on the latest shelter environment data." By inputting this prompt into the generating AI model, it becomes possible to present users with more specific ways of providing support.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental measurement devices. The input data is environmental information recorded in real time by the sensors. The program uses Python to analyze this data and evaluate whether each parameter exceeds a predetermined threshold. As output, it generates data analysis results and creates the necessary control signals based on those results.

[0111] Step 2:

[0112] The server sends a signal to the climate control unit based on the analysis results. This automatically adjusts the air conditioning and ventilation systems, ensuring a comfortable environment within the shelter at all times. The input is the control signal generated in step 1, and the output is an update of the unit's operating status. Specifically, this involves turning the air conditioning system on or off.

[0113] Step 3:

[0114] The server retrieves inventory data for multiple supplies and monitors it in real time. This is done using the Django framework to retrieve inventory information from a database, and an analysis program evaluates the inventory status. The input is the current inventory quantity of each supply, and the output is a warning signal if the inventory falls below a threshold. Specifically, it generates a list of supplies that need replenishment and triggers an automated ordering process.

[0115] Step 4:

[0116] The server collects disaster response information in real time and notifies users of this information. Users can receive the latest information via smartphones or smart glasses. The input is disaster information from external data sources, and the output is information sent as notifications to each user's terminal. Specifically, this includes traffic information and evacuation orders within the area.

[0117] Step 5:

[0118] Based on the information provided, the user decides on their actions within the evacuation shelter. The input is the disaster response information received in step 4, and the output is a set of options to support the user's decision-making. A generative AI model analyzes the prompt text and provides the user with the optimal course of action. Specifically, this includes advice on what supplies the user should prioritize securing within the evacuation shelter.

[0119] 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.

[0120] This invention is a system for effectively carrying out support activities in evacuation shelters, with a particular emphasis on taking into account the emotional state of the user. This system is implemented through the interaction of a server, a terminal, and the user.

[0121] First, environmental sensors connected to the terminal continuously acquire data such as temperature, humidity, and CO2 concentration, and transmit it to the server. The server analyzes this data, and if it exceeds predetermined thresholds, it automatically controls the air conditioning and ventilation systems to maintain a comfortable environment.

[0122] Furthermore, the terminals monitor the inventory levels of supplies using barcodes and RFID, and transmit the latest data to the server. Based on this information, the server detects items that have fallen below inventory thresholds and automatically sends orders to suppliers for replenishment. This makes it possible to prevent shortages of supplies.

[0123] Furthermore, the server acquires traffic information and supply chain status from external data sources and optimizes logistics plans based on this information. If a problem is detected, it calculates a new delivery route and notifies the logistics team, enabling a quick response.

[0124] This system also incorporates an emotion engine. When users interact with an AI chatbot through their terminal and input their health status and necessary supplies, the system also recognizes and analyzes their emotional state. The server combines this emotional information with health status information to provide more appropriate support supplies. For example, if a user is feeling stressed, the emotion engine will recommend relaxing environment settings and the provision of comforting supplies. In addition, it can notify the operations manager with feedback based on the emotional information, allowing for adjustments to the plan and suggestions for additional support.

[0125] Thus, by utilizing an emotion engine, the present invention realizes a system that enables a more individualized and dynamic understanding of the individual needs of evacuees and the provision of prompt and appropriate support.

[0126] The following describes the processing flow.

[0127] Step 1:

[0128] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. The server receives this data and creates a foundation for real-time monitoring of environmental conditions.

[0129] Step 2:

[0130] The server analyzes the environmental information it receives, and if the value exceeds a threshold, it automatically sends control signals to the air conditioning and ventilation systems. Specifically, if the room temperature exceeds 30 degrees Celsius, it activates the air conditioning.

[0131] Step 3:

[0132] The terminal periodically checks the inventory status of supplies and reports it to the server sequentially. Here, the inventory list is updated by barcode scanning.

[0133] Step 4:

[0134] The server detects equipment that falls below a pre-set threshold based on inventory data for multiple items. In this case, it senses that a particularly needed item is likely to be in short supply.

[0135] Step 5:

[0136] The server automatically generates replenishment orders and sends commands to suppliers requesting them to replenish the necessary supplies. For example, when the inventory of canned goods falls below 50, it will place an additional order for 100 cans.

[0137] Step 6:

[0138] The server retrieves current information on transportation routes and supply networks from external sources and optimizes the current logistics plan based on this information. If a road is blocked, it calculates a new alternative route.

[0139] Step 7:

[0140] Users interact with an AI chatbot via their device, inputting information about their health and necessary supplies. During this process, the device also acquires emotional data from the user's voice and facial expressions.

[0141] Step 8:

[0142] The server analyzes the user's health status and emotional information to suggest optimal support items and environmental adjustments. If the user is experiencing stress, it may recommend lowering the ambient temperature or providing items that promote relaxation.

[0143] Step 9:

[0144] The emotion engine performs further analysis based on user feedback and notifies the operations manager based on the results. The operations manager may use this information to adjust how the evacuation center is managed.

[0145] Step 10:

[0146] The server will ultimately integrate this data, create individualized plans for further assistance, and update them in real time.

[0147] This series of processes makes it possible to provide meticulous support that takes into account the feelings of users in evacuation shelters.

[0148] (Example 2)

[0149] 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".

[0150] In disaster relief shelters and other locations, rapid and individualized responses are required when environmental conditions change or resources become scarce, but conventional systems struggle to provide such appropriate responses. Furthermore, individualized support based on the psychological and health conditions of evacuees is necessary, but there has been a lack of effective methods to achieve this.

[0151] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0152] In this invention, the server includes means for monitoring environmental conditions acquired from an environmental detection device in real time and automatically controlling an environmental adjustment device when a predetermined threshold is exceeded; means for monitoring the inventory levels of multiple resources and automatically replenishing them when they fall below a predetermined threshold; and means for acquiring information on transportation routes and supply systems in real time and dynamically optimizing logistics plans. This enables rapid and individualized environmental management and resource replenishment of evacuation centers, optimization of logistics, and provision of appropriate support tailored to the psychological state of evacuees.

[0153] An "environmental detection device" is a device that can measure environmental parameters such as temperature, humidity, and carbon dioxide concentration in real time and acquire that data.

[0154] "Environmental conditions" refer to the set of meteorological conditions such as temperature, humidity, and carbon dioxide concentration at a designated location, such as an evacuation center.

[0155] An "environmental control device" is a device used to adjust environmental parameters, such as air conditioning and ventilation systems.

[0156] "Resource inventory levels" is an indicator that shows the current quantity of supplies and materials prepared in evacuation centers and other locations.

[0157] A "transportation route" is a path used to move goods or personnel from one point to a destination.

[0158] A "supply system" is a set of processes and equipment used to provide goods or services to the places and situations where they are needed.

[0159] A "logistics plan" is a plan to ensure the efficient movement and distribution of goods.

[0160] "Psychological state" refers to a person's emotional state, stress level, and mental health.

[0161] "Individualized support" refers to providing support and services tailored to each individual's specific needs and circumstances.

[0162] This invention is a system that automates and streamlines environmental management and individual support in evacuation shelters. The system operates primarily through the interaction of servers, terminals, and users. Details of each element are described below.

[0163] The terminal is connected to an environmental sensing device and has the function of acquiring environmental conditions such as temperature, humidity, and carbon dioxide concentration in real time. The terminal is responsible for transmitting this data to the server.

[0164] The server analyzes environmental data received from terminals and, if it exceeds a predetermined threshold, sends control commands to the environmental adjustment device to automatically perform adjustments. The server also monitors the inventory levels of multiple resources and automatically replenishes them if they fall below the threshold. Furthermore, it acquires information on transportation routes and supply systems to dynamically optimize logistics plans.

[0165] Users can input their health status and necessary supplies using an AI-powered conversation function via their device. The server analyzes the user's psychological state and provides personalized support tailored to their needs. In this way, rapid and individualized responses become possible in evacuation shelters.

[0166] For example, if a user reports to their device that they have been experiencing increased stress recently, the server will automatically suggest items that have a relaxing effect. Also, if CO2 levels rise, the server will control the ventilation system and take appropriate measures to improve air quality.

[0167] An example of a prompt message might be: "Please suggest the optimal air conditioning settings based on the environmental data of the evacuation center. Also, please provide ideas for relief supplies for evacuees who are experiencing stress."

[0168] Thus, the present invention is a system that automates the management of complex environments and psychological states, and provides concrete means for realizing smooth operation and support activities in evacuation shelters.

[0169] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0170] Step 1:

[0171] The terminal acquires data such as temperature, humidity, and carbon dioxide concentration from environmental sensing devices. This data is measured in real time and transmitted from the terminal to the server. The input is numerical data from environmental sensors, and the output is data sent to the server.

[0172] Step 2:

[0173] The server analyzes the received environmental data and checks whether it exceeds a pre-set threshold. The data is processed using an analysis engine, and if, for example, the CO2 concentration is high, it sends a control signal to the environmental control device to activate the ventilation system. This results in an output of an regulated environment.

[0174] Step 3:

[0175] The terminal monitors resource inventory levels using barcode scanners and RFID readers. It transmits the acquired inventory information to the server. The input is inventory information, and the output is an inventory status report sent to the server.

[0176] Step 4:

[0177] The server monitors inventory information and, if it falls below a threshold, generates an instruction for automatic replenishment. The generated instruction is sent to the supply system. This ensures that replenishment is carried out automatically to prevent resource shortages.

[0178] Step 5:

[0179] The server retrieves information on transportation routes and supply systems from external sources and dynamically optimizes logistics plans. It uses analytical algorithms to calculate the optimal route and notifies logistics personnel of its results. This enables efficient delivery of goods.

[0180] Step 6:

[0181] Users input their health information and psychological state into the AI's conversational function via their device. The input data is sent to a server to analyze the user's emotional state.

[0182] Step 7:

[0183] The server analyzes the user's psychological state and proposes personalized support based on the results. It uses an emotion engine for analysis, for example, to generate suggestions for relaxing items for a user experiencing stress. This result is then fed back to the user.

[0184] (Application Example 2)

[0185] 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".

[0186] In evacuation shelters, it is necessary to provide individualized and prompt support, taking into account not only the environmental conditions and the supply of goods, but also the emotional state of the users. Conventional support systems have been unable to accurately grasp the emotional state of users and dynamically change the support accordingly, making it difficult to provide support that is adapted to each individual evacuee. This invention aims to solve this problem.

[0187] 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.

[0188] In this invention, the server includes means for monitoring environmental information in real time and automatically controlling environmental adjustment equipment when it exceeds a predetermined threshold; means for monitoring the inventory level of goods and automatically replenishing them when it falls below a predetermined threshold; means for collecting information on logistics flows and supply networks in real time and dynamically optimizing logistics plans; and means for analyzing the emotional state of users and dynamically adjusting support content based on emotional information. This enables personalized support tailored to the user's situation and emotions.

[0189] - "Environmental information" refers to data including values ​​such as temperature, humidity, and carbon dioxide concentration, and indicates the climate and air quality within the evacuation center.

[0190] "Environmental adjustment equipment" refers to devices that adjust the temperature and quality of the air based on acquired environmental information, and includes air conditioners and ventilation systems.

[0191] "Items" refers to the supplies and relief goods needed at evacuation centers, including daily necessities, food, and medical supplies.

[0192] "Inventory level" refers to the quantity of specific items present in the evacuation center, which is regularly monitored for automatic replenishment.

[0193] "Logistical routes" refer to the paths by which goods and relief supplies move from their source to evacuation centers, and include roads and delivery routes.

[0194] A "supply network" refers to the entire distribution route from the production or storage of goods to their eventual delivery to evacuation shelters, and is also known as a supply chain.

[0195] "Users" refers to people who use evacuation shelters, and includes evacuees and support staff.

[0196] "Emotional state" refers to the user's psychological or mental health, and includes emotions such as stress, relief, and anxiety.

[0197] A "conversational medium" refers to an interface for interacting with users, and includes systems that respond via text or voice.

[0198] "Dynamic adjustment" refers to adapting the system's operation and output in response to data that changes in real time.

[0199] This invention is a system for efficiently managing the environment, supplies, and user support in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users, and is configured as follows:

[0200] The server receives data from sensors in real time to acquire environmental information and controls environmental control equipment based on this data. Information such as temperature, humidity, and carbon dioxide concentration is acquired as needed, and automatic adjustments are made to maintain a comfortable environment.

[0201] Furthermore, to monitor inventory levels, RFID and barcodes are used to collect information on supplies and transmit it to a server. The server automatically places orders for replenishment if any items fall below a predetermined threshold. This ensures that supplies within the evacuation center are always adequately supplied.

[0202] Furthermore, the server acquires information on logistics routes and supply networks from external sources. This allows for dynamic revision of logistics plans in emergencies and abnormal situations, and enables the rapid calculation of new delivery routes.

[0203] The terminal provides a conversational medium for inputting the user's health and emotional state. The data entered by the user is analyzed by an emotion engine, and the support content is dynamically adjusted based on this analysis. This ensures that support is tailored to each individual user.

[0204] As a concrete example, the system can recommend necessary emotional support when a user's emotional state changes significantly. For instance, it could ask, "How are you feeling today?" via an AI chatbot and suggest relaxation methods or activities based on the user's response.

[0205] An example of a prompt generated by an AI model is, "The user has indicated they are experiencing stress. What kind of support will you provide?" This is used to instruct the system on specific countermeasures.

[0206] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0207] Step 1:

[0208] The terminal acquires temperature, humidity, and carbon dioxide concentration data in real time from environmental sensors. Client software uses this data as input to compare it against predetermined thresholds. The results of this comparison are then sent to the server.

[0209] Step 2:

[0210] The server receives environmental data sent from the terminal and, if it exceeds a threshold, sends control signals to the environmental control equipment. Specifically, it instructs the air conditioning to be turned on or off and the ventilation system to operate, optimizing the environment. This output represents a comfortable environment after adjustment.

[0211] Step 3:

[0212] The user inputs inventory data for supplies via a terminal. The terminal uses an RFID or barcode reader to acquire this data and transmit it to the server. Using this inventory information as input, the server compares it with predetermined thresholds and places orders for automatic replenishment as needed. The output represents the appropriate inventory status of the items.

[0213] Step 4:

[0214] The server retrieves information on logistics routes and supply chains from external data sources. Using this data as input, it runs an algorithm to dynamically optimize logistics planning. If problems are detected, it plans a new delivery route and presents it to the logistics team. The output is the optimized logistics route.

[0215] Step 5:

[0216] Users input their health and emotional states through a terminal. This input data is analyzed by an emotion engine on the terminal. Based on the analysis results, the server adjusts the support provided and offers additional support as needed. This output represents a customized support plan tailored to the user.

[0217] Step 6:

[0218] The server uses a generative AI model to create and suggest prompts based on the user's emotional state. For example, if the analysis indicates that the user is stressed, it might ask, "How are you feeling today?" and suggest appropriate support. This output represents the suggested ways for the user to refresh themselves.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] [Second Embodiment]

[0223] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0224] 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.

[0225] 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).

[0226] 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.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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.

[0232] 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.

[0233] 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.

[0234] 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".

[0235] This invention is a system for facilitating support activities in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users.

[0236] First, environmental sensors connected to the terminal continuously measure temperature, humidity, CO2 concentration, etc., and transmit this data to the server. The server analyzes the received data and generates commands to control the air conditioning and ventilation systems if they exceed predetermined thresholds. For example, if the indoor temperature exceeds 30 degrees Celsius, the server sends a signal to activate the air conditioning system, automatically maintaining a comfortable environment.

[0237] Next, inventory data for multiple pieces of equipment is recorded using a terminal. The server monitors this inventory data in real time, and if an item falls below a set threshold, it automatically places a replenishment order. For example, if the stock of emergency food falls below 50 servings, the server automatically sends an order for 100 servings to the supplier.

[0238] Furthermore, the server obtains traffic information and supply status from external data sources and evaluates the condition of transportation routes and supply networks. In the event of road closures or power supply problems, it optimizes logistics plans, calculates new delivery routes, and notifies relevant parties. This optimizes the delivery of goods, allowing them to reach shelters quickly.

[0239] Finally, users can use their devices to interact with an AI chatbot and report their health status and necessary supplies. The server analyzes this information, determines the appropriate supplies, and suggests them to the user. It can also notify support staff to ensure appropriate assistance is provided. For example, if a user reports a cough or chills, the server generates payment requests for a blanket and cold medicine and allocates them from inventory.

[0240] This invention enables real-time environmental management, rapid provision of supplies, and appropriate support, thereby solving the challenges in managing evacuation shelters during disasters.

[0241] The following describes the processing flow.

[0242] Step 1:

[0243] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. This allows environmental information within the evacuation center to be aggregated on the server in real time.

[0244] Step 2:

[0245] The server analyzes the environmental data it receives and determines whether it exceeds a set threshold. For example, if the temperature exceeds 30 degrees Celsius, it determines that the environment is not comfortable.

[0246] Step 3:

[0247] The server sends commands to the air conditioning and ventilation systems as needed. If the temperature is high, it adjusts the temperature by sending a cooling command to the air conditioning system.

[0248] Step 4:

[0249] The terminal periodically checks the inventory of supplies and sends the latest inventory data to the server. The inventory data is updated using barcodes or RFID.

[0250] Step 5:

[0251] The server checks the inventory level of each piece of equipment and detects items that have fallen below a threshold. If an item is below the threshold, it determines that replenishment is necessary.

[0252] Step 6:

[0253] The server automatically generates replenishment orders for any missing supplies and sends them to suppliers. For example, if emergency food supplies run low, it will send an additional order via email.

[0254] Step 7:

[0255] The server obtains traffic conditions and supply chain status from external information providers. This allows it to gather the information necessary to calculate the optimal delivery route for goods.

[0256] Step 8:

[0257] The server optimizes the logistics plan based on that information. If a problem is found, it calculates an alternative route and notifies the logistics team.

[0258] Step 9:

[0259] Users interact with an AI chatbot through their device, inputting their health status and the need for relief supplies. This allows for the collection of individual evacuee needs.

[0260] Step 10:

[0261] The server analyzes information from users to identify appropriate support supplies and services. For example, it might select to provide medication to a user complaining of a cough.

[0262] Step 11:

[0263] Based on the analysis results, the server makes suggestions to the user and, if necessary, issues instructions to provide the appropriate items from inventory. The user can provide feedback on the suggested items and services.

[0264] (Example 1)

[0265] 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."

[0266] In disaster relief shelters, it is crucial to quickly and effectively manage changes in environmental conditions and shortages of supplies, and to provide appropriate support to evacuees. However, conventional methods have faced challenges in real-time environmental control, automated replenishment of supplies, and optimizing support based on the health status of evacuees. It is necessary to solve these problems and streamline the operation of disaster relief shelters.

[0267] 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.

[0268] In this invention, the server includes means for immediately monitoring environmental conditions obtained from an environmental detection device and automatically operating an environmental adjustment device if a set limit value is exceeded; means for monitoring the quantities of multiple materials and automatically replenishing them if they fall below a set threshold; and means for immediately collecting information on transportation routes and supply systems and variably optimizing the logistics plan. This enables real-time environmental management during disasters, automation of material replenishment, and rapid optimization of logistics plans.

[0269] An "environmental detection device" is a device that measures and collects physical environmental data (e.g., temperature, humidity, CO2 concentration, etc.).

[0270] An "environmental adjustment device" is a device used to adjust environmental conditions based on measured environmental data, and examples include air conditioning systems and ventilation systems.

[0271] "Materials" is a general term for items and equipment necessary for the operation of evacuation shelters, and includes emergency food and medical supplies.

[0272] A "conversational interface" is software equipped with artificial intelligence that has the ability to interact with the user, analyzing user input and providing appropriate information and services.

[0273] "Logistics planning" refers to the process of formulating a plan for transporting goods and determining the optimal route and method as needed.

[0274] The present invention provides a system that supports the operation of evacuation shelters during disasters by utilizing the interaction of servers, terminals, and users. This system combines hardware and software such as environmental sensors, air conditioning systems, inventory management systems, and AI chatbots to collect and analyze information in real time and perform automatic control.

[0275] First, the terminal connects to environmental sensors and continuously measures environmental data such as temperature, humidity, and CO2 concentration, transmitting this data to a server. The server performs real-time analysis based on this data and sends a command to the air conditioning system if a predetermined threshold is exceeded. This operation automatically optimizes the environment within the facility.

[0276] Furthermore, users input equipment inventory data using a terminal. The server then monitors the inventory status, and if the equipment falls below a set threshold, it automatically places an order with the supplier immediately.

[0277] Furthermore, the server periodically acquires external traffic and supply information to optimize logistics plans in real time. In the event of road closures or supply disruptions, a new delivery route is calculated and immediately notified to all relevant parties.

[0278] Using an AI chatbot, users can report their health status and necessary supplies. This information is processed on a server, which then provides specific assistance suggestions and notifies the appropriate personnel.

[0279] For example, if the temperature inside the evacuation center exceeds 30 degrees Celsius, the server will issue a command to activate the air conditioning, immediately creating a comfortable environment. Also, if the stock of emergency food falls below 50 meals, an additional 100 meals will be automatically ordered.

[0280] Examples of prompts that utilize the generative AI model include: "The temperature in the evacuation center is high; please suggest what measures should be taken if necessary," and "Based on the current inventory situation, please predict when the next order should be placed."

[0281] In this form, the present invention efficiently supports the operation of evacuation shelters during disasters and provides prompt and accurate assistance.

[0282] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0283] Step 1:

[0284] The terminal is connected to environmental sensors and periodically measures environmental data such as temperature, humidity, and CO2 concentration. The measured data is stored in the terminal and transmitted to the server every few minutes. Based on this input data, the server monitors the environmental situation in real time and performs analysis. When the threshold is exceeded, a control signal for operating the air conditioning system is generated. At this time, when the measured temperature exceeds 30 degrees, a start command for the air conditioner is issued.

[0285] Step 2:

[0286] The user uses the terminal to record the incoming and outgoing of various equipment. The input inventory data is aggregated on the server, and the inventory quantity is monitored in real time. Based on this inventory data, when the server falls below the threshold, it automates the order placement for replenishment. For example, when the inventory of emergency food is less than 50 meals, a replenishment order for 100 meals is generated and sent to the supplier.

[0287] Step 3:

[0288] The server periodically fetches traffic information and supply information from external data sources. Based on this input data, it evaluates the current logistics situation and calculates a new delivery route if necessary. When there is road closure information, the server immediately calculates an optimal transportation plan and notifies the relevant parties.

[0289] Step 4:

[0290] The user interacts with the AI chatbot through the terminal and reports their health status and required supplies. The input information is sent to the server and analyzed. Based on the results of this analysis, proposals for required relief supplies and notifications to relief personnel are implemented. When the user complains of coughing or chills as their health status, the server proposes the provision of blankets and medicine.

[0291] In each step, specific operations are automated, and the program is designed to efficiently support the operation of the shelter.

[0292] (Application Example 1)

[0293] 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."

[0294] Managing evacuation shelters during disasters presents a wide range of challenges. These include proper management of the environment within the shelters, rapid and accurate supply of goods, optimization of supply routes in accordance with the state of transportation networks, and implementation of appropriate support based on the health status of residents. This invention aims to solve these complex problems in real time and provide residents with a safe and secure evacuation shelter environment.

[0295] 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.

[0296] In this invention, the server includes means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified threshold value; means for monitoring the inventory status of multiple supplies and automatically replenishing them when they fall below a set threshold; and means for providing residents with disaster response information within the region in real time and recommending necessary support. This makes it possible to optimally manage the environment within evacuation centers even during disasters, prevent shortages of supplies, and provide timely and effective support to residents.

[0297] An "environmental measurement device" is a device that continuously acquires environmental data such as temperature, humidity, and carbon dioxide concentration, and provides it to a designated system in real time.

[0298] A "climate adjustment unit" is a device that automatically operates based on data from environmental measurement equipment to adjust air conditioning and ventilation.

[0299] "Stock status of supplies" refers to information indicating the quantity and usage status of items such as food and medicine within evacuation shelters.

[0300] "Automatic replenishment" is a process that automatically replenishes necessary supplies when inventory falls below a set threshold.

[0301] "Disaster response information" refers to information related to the operation of evacuation centers and necessary support measures for residents during a disaster.

[0302] In this application, a server takes the lead in implementing each function. The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental monitoring devices and analyzes it in real time using software such as Python or Django. Based on the results, it automatically operates the climate control unit to maintain a comfortable environment.

[0303] The server also monitors the inventory status of multiple supplies and automatically replenishes them when they fall below a set point. It uses the Django framework to interact with a database and send replenishment instructions to an external supply system. React is used to provide an interface in this process, displaying the current supply status to the user.

[0304] Furthermore, the server provides residents with real-time disaster preparedness information within their area. This is achieved by notifying smartphones and smart glasses of appropriate information from the server based on environmental data and the status of transportation networks. Users can then make necessary decisions during a disaster based on the information provided.

[0305] For example, if a sudden rise in room temperature is detected in an evacuation center in a certain area, the server will immediately send a signal to adjust the air conditioning system and warn the evacuees. Furthermore, if some supplies are running low, the system will notify suppliers in real time and coordinate appropriate replenishment.

[0306] Examples of prompt texts include "Please explain how the system can support the user to receive optimal assistance based on the latest shelter environment data." By inputting this prompt into the generative AI model, it becomes possible to present more specific assistance methods to the user.

[0307] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0308] Step 1:

[0309] The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from the environmental measurement device. The input data is environmental information recorded in real time by sensors. The program analyzes this data using Python and evaluates whether each parameter exceeds a predetermined threshold. As output, it generates data analysis results and creates necessary control signals based on the results.

[0310] Step 2:

[0311] The server transmits a signal to the climate control unit based on the analysis results. As a result, the air conditioning and ventilation systems are automatically adjusted, and the environment inside the shelter is always kept comfortable. The input is the control signal generated in Step 1, and the output is the update of the operating state of the unit. Specifically, the on / off operation of the air conditioning system is performed.

[0312] Step 3:

[0313] The server acquires the inventory data of multiple supplies and monitors it in real time. For this, it uses the Django framework to obtain inventory information from the database, and an analysis program evaluates the inventory situation. The input is the current inventory quantity of the supplies, and the output is a warning signal when the inventory falls below the threshold. As a specific operation, it generates a list of supplies that need replenishment and triggers the automatic ordering process.

[0314] Step 4:

[0315] The server collects disaster response information in real time and notifies users of this information. Users can receive the latest information via smartphones or smart glasses. The input is disaster information from external data sources, and the output is information sent as notifications to each user's terminal. Specifically, this includes traffic information and evacuation orders within the area.

[0316] Step 5:

[0317] Based on the information provided, the user decides on their actions within the evacuation shelter. The input is the disaster response information received in step 4, and the output is a set of options to support the user's decision-making. A generative AI model analyzes the prompt text and provides the user with the optimal course of action. Specifically, this includes advice on what supplies the user should prioritize securing within the evacuation shelter.

[0318] 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.

[0319] This invention is a system for effectively carrying out support activities in evacuation shelters, with a particular emphasis on taking into account the emotional state of the user. This system is implemented through the interaction of a server, a terminal, and the user.

[0320] First, environmental sensors connected to the terminal continuously acquire data such as temperature, humidity, and CO2 concentration, and transmit it to the server. The server analyzes this data, and if it exceeds predetermined thresholds, it automatically controls the air conditioning and ventilation systems to maintain a comfortable environment.

[0321] Furthermore, the terminals monitor the inventory levels of supplies using barcodes and RFID, and transmit the latest data to the server. Based on this information, the server detects items that have fallen below inventory thresholds and automatically sends orders to suppliers for replenishment. This makes it possible to prevent shortages of supplies.

[0322] Furthermore, the server acquires traffic information and supply chain status from external data sources and optimizes logistics plans based on this information. If a problem is detected, it calculates a new delivery route and notifies the logistics team, enabling a quick response.

[0323] This system also incorporates an emotion engine. When users interact with an AI chatbot through their terminal and input their health status and necessary supplies, the system also recognizes and analyzes their emotional state. The server combines this emotional information with health status information to provide more appropriate support supplies. For example, if a user is feeling stressed, the emotion engine will recommend relaxing environment settings and the provision of comforting supplies. In addition, it can notify the operations manager with feedback based on the emotional information, allowing for adjustments to the plan and suggestions for additional support.

[0324] Thus, by utilizing an emotion engine, the present invention realizes a system that enables a more individualized and dynamic understanding of the individual needs of evacuees and the provision of prompt and appropriate support.

[0325] The following describes the processing flow.

[0326] Step 1:

[0327] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. The server receives this data and creates a foundation for real-time monitoring of environmental conditions.

[0328] Step 2:

[0329] The server analyzes the environmental information it receives, and if the value exceeds a threshold, it automatically sends control signals to the air conditioning and ventilation systems. Specifically, if the room temperature exceeds 30 degrees Celsius, it activates the air conditioning.

[0330] Step 3:

[0331] The terminal periodically checks the inventory status of supplies and reports it to the server sequentially. Here, the inventory list is updated by barcode scanning.

[0332] Step 4:

[0333] The server detects equipment that falls below a pre-set threshold based on inventory data for multiple items. In this case, it senses that a particularly needed item is likely to be in short supply.

[0334] Step 5:

[0335] The server automatically generates replenishment orders and sends commands to suppliers requesting them to replenish the necessary supplies. For example, when the inventory of canned goods falls below 50, it will place an additional order for 100 cans.

[0336] Step 6:

[0337] The server retrieves current information on transportation routes and supply networks from external sources and optimizes the current logistics plan based on this information. If a road is blocked, it calculates a new alternative route.

[0338] Step 7:

[0339] Users interact with an AI chatbot via their device, inputting information about their health and necessary supplies. During this process, the device also acquires emotional data from the user's voice and facial expressions.

[0340] Step 8:

[0341] The server analyzes the user's health status and emotional information to suggest optimal support items and environmental adjustments. If the user is experiencing stress, it may recommend lowering the ambient temperature or providing items that promote relaxation.

[0342] Step 9:

[0343] The emotion engine performs further analysis based on user feedback and notifies the operations manager based on the results. The operations manager may use this information to adjust how the evacuation center is managed.

[0344] Step 10:

[0345] The server will ultimately integrate this data, create individualized plans for further assistance, and update them in real time.

[0346] This series of processes makes it possible to provide meticulous support that takes into account the feelings of users in evacuation shelters.

[0347] (Example 2)

[0348] 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".

[0349] In disaster relief shelters and other locations, rapid and individualized responses are required when environmental conditions change or resources become scarce, but conventional systems struggle to provide such appropriate responses. Furthermore, individualized support based on the psychological and health conditions of evacuees is necessary, but there has been a lack of effective methods to achieve this.

[0350] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0351] In this invention, the server includes means for monitoring environmental conditions acquired from an environmental detection device in real time and automatically controlling an environmental adjustment device when a predetermined threshold is exceeded; means for monitoring the inventory levels of multiple resources and automatically replenishing them when they fall below a predetermined threshold; and means for acquiring information on transportation routes and supply systems in real time and dynamically optimizing logistics plans. This enables rapid and individualized environmental management and resource replenishment of evacuation centers, optimization of logistics, and provision of appropriate support tailored to the psychological state of evacuees.

[0352] An "environmental detection device" is a device that can measure environmental parameters such as temperature, humidity, and carbon dioxide concentration in real time and acquire that data.

[0353] "Environmental conditions" refer to the set of meteorological conditions such as temperature, humidity, and carbon dioxide concentration at a designated location, such as an evacuation center.

[0354] An "environmental control device" is a device used to adjust environmental parameters, such as air conditioning and ventilation systems.

[0355] "Resource inventory levels" is an indicator that shows the current quantity of supplies and materials prepared in evacuation centers and other locations.

[0356] A "transportation route" is a path used to move goods or personnel from one point to a destination.

[0357] A "supply system" is a set of processes and equipment used to provide goods or services to the places and situations where they are needed.

[0358] A "logistics plan" is a plan to ensure the efficient movement and distribution of goods.

[0359] "Psychological state" refers to a person's emotional state, stress level, and mental health.

[0360] "Individualized support" refers to providing support and services tailored to each individual's specific needs and circumstances.

[0361] This invention is a system that automates and streamlines environmental management and individual support in evacuation shelters. The system operates primarily through the interaction of servers, terminals, and users. Details of each element are described below.

[0362] The terminal is connected to an environmental sensing device and has the function of acquiring environmental conditions such as temperature, humidity, and carbon dioxide concentration in real time. The terminal is responsible for transmitting this data to the server.

[0363] The server analyzes environmental data received from terminals and, if it exceeds a predetermined threshold, sends control commands to the environmental adjustment device to automatically perform adjustments. The server also monitors the inventory levels of multiple resources and automatically replenishes them if they fall below the threshold. Furthermore, it acquires information on transportation routes and supply systems to dynamically optimize logistics plans.

[0364] Users can input their health status and necessary supplies using an AI-powered conversation function via their device. The server analyzes the user's psychological state and provides personalized support tailored to their needs. In this way, rapid and individualized responses become possible in evacuation shelters.

[0365] For example, if a user reports to their device that they have been experiencing increased stress recently, the server will automatically suggest items that have a relaxing effect. Also, if CO2 levels rise, the server will control the ventilation system and take appropriate measures to improve air quality.

[0366] An example of a prompt message might be: "Please suggest the optimal air conditioning settings based on the environmental data of the evacuation center. Also, please provide ideas for relief supplies for evacuees who are experiencing stress."

[0367] Thus, the present invention is a system that automates the management of complex environments and psychological states, and provides concrete means for realizing smooth operation and support activities in evacuation shelters.

[0368] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0369] Step 1:

[0370] The terminal acquires data such as temperature, humidity, and carbon dioxide concentration from environmental sensing devices. This data is measured in real time and transmitted from the terminal to the server. The input is numerical data from environmental sensors, and the output is data sent to the server.

[0371] Step 2:

[0372] The server analyzes the received environmental data and checks whether it exceeds a pre-set threshold. The data is processed using an analysis engine, and if, for example, the CO2 concentration is high, it sends a control signal to the environmental control device to activate the ventilation system. This results in an output of an regulated environment.

[0373] Step 3:

[0374] The terminal monitors resource inventory levels using barcode scanners and RFID readers. It transmits the acquired inventory information to the server. The input is inventory information, and the output is an inventory status report sent to the server.

[0375] Step 4:

[0376] The server monitors inventory information and, if it falls below a threshold, generates an instruction for automatic replenishment. The generated instruction is sent to the supply system. This ensures that replenishment is carried out automatically to prevent resource shortages.

[0377] Step 5:

[0378] The server retrieves information on transportation routes and supply systems from external sources and dynamically optimizes logistics plans. It uses analytical algorithms to calculate the optimal route and notifies logistics personnel of its results. This enables efficient delivery of goods.

[0379] Step 6:

[0380] Users input their health information and psychological state into the AI's conversational function via their device. The input data is sent to a server to analyze the user's emotional state.

[0381] Step 7:

[0382] The server analyzes the user's psychological state and proposes personalized support based on the results. It uses an emotion engine for analysis, for example, to generate suggestions for relaxing items for a user experiencing stress. This result is then fed back to the user.

[0383] (Application Example 2)

[0384] 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."

[0385] In evacuation shelters, it is necessary to provide individualized and prompt support, taking into account not only the environmental conditions and the supply of goods, but also the emotional state of the users. Conventional support systems have been unable to accurately grasp the emotional state of users and dynamically change the support accordingly, making it difficult to provide support that is adapted to each individual evacuee. This invention aims to solve this problem.

[0386] 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.

[0387] In this invention, the server includes means for monitoring environmental information in real time and automatically controlling environmental adjustment equipment when it exceeds a predetermined threshold; means for monitoring the inventory level of goods and automatically replenishing them when it falls below a predetermined threshold; means for collecting information on logistics flows and supply networks in real time and dynamically optimizing logistics plans; and means for analyzing the emotional state of users and dynamically adjusting support content based on emotional information. This enables personalized support tailored to the user's situation and emotions.

[0388] - "Environmental information" refers to data including values ​​such as temperature, humidity, and carbon dioxide concentration, and indicates the climate and air quality within the evacuation center.

[0389] "Environmental adjustment equipment" refers to devices that adjust the temperature and quality of the air based on acquired environmental information, and includes air conditioners and ventilation systems.

[0390] "Items" refers to the supplies and relief goods needed at evacuation centers, including daily necessities, food, and medical supplies.

[0391] "Inventory level" refers to the quantity of specific items present in the evacuation center, which is regularly monitored for automatic replenishment.

[0392] "Logistical routes" refer to the paths by which goods and relief supplies move from their source to evacuation centers, and include roads and delivery routes.

[0393] A "supply network" refers to the entire distribution route from the production or storage of goods to their eventual delivery to evacuation shelters, and is also known as a supply chain.

[0394] "Users" refers to people who use evacuation shelters, and includes evacuees and support staff.

[0395] "Emotional state" refers to the user's psychological or mental health, and includes emotions such as stress, relief, and anxiety.

[0396] A "conversational medium" refers to an interface for interacting with users, and includes systems that respond via text or voice.

[0397] "Dynamic adjustment" refers to adapting the system's operation and output in response to data that changes in real time.

[0398] This invention is a system for efficiently managing the environment, supplies, and user support in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users, and is configured as follows:

[0399] The server receives data from sensors in real time to acquire environmental information and controls environmental control equipment based on this data. Information such as temperature, humidity, and carbon dioxide concentration is acquired as needed, and automatic adjustments are made to maintain a comfortable environment.

[0400] Furthermore, to monitor inventory levels, RFID and barcodes are used to collect information on supplies and transmit it to a server. The server automatically places orders for replenishment if any items fall below a predetermined threshold. This ensures that supplies within the evacuation center are always adequately supplied.

[0401] Furthermore, the server acquires information on logistics routes and supply networks from external sources. This allows for dynamic revision of logistics plans in emergencies and abnormal situations, and enables the rapid calculation of new delivery routes.

[0402] The terminal provides a conversational medium for inputting the user's health and emotional state. The data entered by the user is analyzed by an emotion engine, and the support content is dynamically adjusted based on this analysis. This ensures that support is tailored to each individual user.

[0403] As a concrete example, the system can recommend necessary emotional support when a user's emotional state changes significantly. For instance, it could ask, "How are you feeling today?" via an AI chatbot and suggest relaxation methods or activities based on the user's response.

[0404] An example of a prompt generated by an AI model is, "The user has indicated they are experiencing stress. What kind of support will you provide?" This is used to instruct the system on specific countermeasures.

[0405] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0406] Step 1:

[0407] The terminal acquires temperature, humidity, and carbon dioxide concentration data in real time from environmental sensors. Client software uses this data as input to compare it against predetermined thresholds. The results of this comparison are then sent to the server.

[0408] Step 2:

[0409] The server receives environmental data sent from the terminal and, if it exceeds a threshold, sends control signals to the environmental control equipment. Specifically, it instructs the air conditioning to be turned on or off and the ventilation system to operate, optimizing the environment. This output represents a comfortable environment after adjustment.

[0410] Step 3:

[0411] The user inputs inventory data for supplies via a terminal. The terminal uses an RFID or barcode reader to acquire this data and transmit it to the server. Using this inventory information as input, the server compares it with predetermined thresholds and places orders for automatic replenishment as needed. The output represents the appropriate inventory status of the items.

[0412] Step 4:

[0413] The server retrieves information on logistics routes and supply chains from external data sources. Using this data as input, it runs an algorithm to dynamically optimize logistics planning. If problems are detected, it plans a new delivery route and presents it to the logistics team. The output is the optimized logistics route.

[0414] Step 5:

[0415] Users input their health and emotional states through a terminal. This input data is analyzed by an emotion engine on the terminal. Based on the analysis results, the server adjusts the support provided and offers additional support as needed. This output represents a customized support plan tailored to the user.

[0416] Step 6:

[0417] The server uses a generative AI model to create and suggest prompts based on the user's emotional state. For example, if the analysis indicates that the user is stressed, it might ask, "How are you feeling today?" and suggest appropriate support. This output represents the suggested ways for the user to refresh themselves.

[0418] 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.

[0419] 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.

[0420] 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.

[0421] [Third Embodiment]

[0422] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0423] 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.

[0424] 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).

[0425] 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.

[0426] 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.

[0427] 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).

[0428] 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.

[0429] 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.

[0430] 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.

[0431] 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.

[0432] 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.

[0433] 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".

[0434] This invention is a system for facilitating support activities in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users.

[0435] First, environmental sensors connected to the terminal continuously measure temperature, humidity, CO2 concentration, etc., and transmit this data to the server. The server analyzes the received data and generates commands to control the air conditioning and ventilation systems if they exceed predetermined thresholds. For example, if the indoor temperature exceeds 30 degrees Celsius, the server sends a signal to activate the air conditioning system, automatically maintaining a comfortable environment.

[0436] Next, inventory data for multiple pieces of equipment is recorded using a terminal. The server monitors this inventory data in real time, and if an item falls below a set threshold, it automatically places a replenishment order. For example, if the stock of emergency food falls below 50 servings, the server automatically sends an order for 100 servings to the supplier.

[0437] Furthermore, the server obtains traffic information and supply status from external data sources and evaluates the condition of transportation routes and supply networks. In the event of road closures or power supply problems, it optimizes logistics plans, calculates new delivery routes, and notifies relevant parties. This optimizes the delivery of goods, allowing them to reach shelters quickly.

[0438] Finally, users can use their devices to interact with an AI chatbot and report their health status and necessary supplies. The server analyzes this information, determines the appropriate supplies, and suggests them to the user. It can also notify support staff to ensure appropriate assistance is provided. For example, if a user reports a cough or chills, the server generates payment requests for a blanket and cold medicine and allocates them from inventory.

[0439] This invention enables real-time environmental management, rapid provision of supplies, and appropriate support, thereby solving the challenges in managing evacuation shelters during disasters.

[0440] The following describes the processing flow.

[0441] Step 1:

[0442] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. This allows environmental information within the evacuation center to be aggregated on the server in real time.

[0443] Step 2:

[0444] The server analyzes the environmental data it receives and determines whether it exceeds a set threshold. For example, if the temperature exceeds 30 degrees Celsius, it determines that the environment is not comfortable.

[0445] Step 3:

[0446] The server sends commands to the air conditioning and ventilation systems as needed. If the temperature is high, it adjusts the temperature by sending a cooling command to the air conditioning system.

[0447] Step 4:

[0448] The terminal periodically checks the inventory of supplies and sends the latest inventory data to the server. The inventory data is updated using barcodes or RFID.

[0449] Step 5:

[0450] The server checks the inventory level of each piece of equipment and detects items that have fallen below a threshold. If an item is below the threshold, it determines that replenishment is necessary.

[0451] Step 6:

[0452] The server automatically generates replenishment orders for any missing supplies and sends them to suppliers. For example, if emergency food supplies run low, it will send an additional order via email.

[0453] Step 7:

[0454] The server obtains traffic conditions and supply chain status from external information providers. This allows it to gather the information necessary to calculate the optimal delivery route for goods.

[0455] Step 8:

[0456] The server optimizes the logistics plan based on that information. If a problem is found, it calculates an alternative route and notifies the logistics team.

[0457] Step 9:

[0458] Users interact with an AI chatbot through their device, inputting their health status and the need for relief supplies. This allows for the collection of individual evacuee needs.

[0459] Step 10:

[0460] The server analyzes information from users to identify appropriate support supplies and services. For example, it might select to provide medication to a user complaining of a cough.

[0461] Step 11:

[0462] Based on the analysis results, the server makes suggestions to the user and, if necessary, issues instructions to provide the appropriate items from inventory. The user can provide feedback on the suggested items and services.

[0463] (Example 1)

[0464] 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."

[0465] In disaster relief shelters, it is crucial to quickly and effectively manage changes in environmental conditions and shortages of supplies, and to provide appropriate support to evacuees. However, conventional methods have faced challenges in real-time environmental control, automated replenishment of supplies, and optimizing support based on the health status of evacuees. It is necessary to solve these problems and streamline the operation of disaster relief shelters.

[0466] 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.

[0467] In this invention, the server includes means for immediately monitoring environmental conditions obtained from an environmental detection device and automatically operating an environmental adjustment device if a set limit value is exceeded; means for monitoring the quantities of multiple materials and automatically replenishing them if they fall below a set threshold; and means for immediately collecting information on transportation routes and supply systems and variably optimizing the logistics plan. This enables real-time environmental management during disasters, automation of material replenishment, and rapid optimization of logistics plans.

[0468] An "environmental detection device" is a device that measures and collects physical environmental data (e.g., temperature, humidity, CO2 concentration, etc.).

[0469] An "environmental adjustment device" is a device used to adjust environmental conditions based on measured environmental data, and examples include air conditioning systems and ventilation systems.

[0470] "Materials" is a general term for items and equipment necessary for the operation of evacuation shelters, and includes emergency food and medical supplies.

[0471] A "conversational interface" is software equipped with artificial intelligence that has the ability to interact with the user, analyzing user input and providing appropriate information and services.

[0472] "Logistics planning" refers to the process of formulating a plan for transporting goods and determining the optimal route and method as needed.

[0473] The present invention provides a system that supports the operation of evacuation shelters during disasters by utilizing the interaction of servers, terminals, and users. This system combines hardware and software such as environmental sensors, air conditioning systems, inventory management systems, and AI chatbots to collect and analyze information in real time and perform automatic control.

[0474] First, the terminal connects to environmental sensors and continuously measures environmental data such as temperature, humidity, and CO2 concentration, transmitting this data to a server. The server performs real-time analysis based on this data and sends a command to the air conditioning system if a predetermined threshold is exceeded. This operation automatically optimizes the environment within the facility.

[0475] Furthermore, users input equipment inventory data using a terminal. The server then monitors the inventory status, and if the equipment falls below a set threshold, it automatically places an order with the supplier immediately.

[0476] Furthermore, the server periodically acquires external traffic and supply information to optimize logistics plans in real time. In the event of road closures or supply disruptions, a new delivery route is calculated and immediately notified to all relevant parties.

[0477] Using an AI chatbot, users can report their health status and necessary supplies. This information is processed on a server, which then provides specific assistance suggestions and notifies the appropriate personnel.

[0478] For example, if the temperature inside the evacuation center exceeds 30 degrees Celsius, the server will issue a command to activate the air conditioning, immediately creating a comfortable environment. Also, if the stock of emergency food falls below 50 meals, an additional 100 meals will be automatically ordered.

[0479] Examples of prompts that utilize the generative AI model include: "The temperature in the evacuation center is high; please suggest what measures should be taken if necessary," and "Based on the current inventory situation, please predict when the next order should be placed."

[0480] In this form, the present invention efficiently supports the operation of evacuation shelters during disasters and provides prompt and accurate assistance.

[0481] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0482] Step 1:

[0483] The terminal is connected to an environmental sensor and periodically measures environmental data such as temperature, humidity, and CO2 concentration. The measured data is stored in the terminal and sent to the server every few minutes. Based on this input data, the server monitors and analyzes the environmental conditions in real time. If a threshold is exceeded, a control signal is generated to operate the air conditioning system. In this case, if the measured temperature exceeds 30 degrees Celsius, a command to start the air conditioner is issued.

[0484] Step 2:

[0485] Users record the incoming and outgoing shipments of various supplies using a terminal. The entered inventory data is aggregated on a server, and the stock levels are monitored in real time. Based on this inventory data, the server automatically places orders for replenishment when levels fall below a threshold. For example, if the stock of emergency food falls below 50 servings, a replenishment order for 100 servings is generated and sent to the supplier.

[0486] Step 3:

[0487] The server periodically retrieves traffic and supply information from external data sources. Based on this input data, it evaluates the current logistics situation and calculates new delivery routes as needed. If road closures are detected, the server immediately calculates the optimal transportation plan and notifies the relevant parties.

[0488] Step 4:

[0489] Users interact with an AI chatbot through their device, reporting their health status and necessary supplies. The entered information is sent to a server for analysis. Based on the results of this analysis, suggestions for necessary relief supplies and notifications to support personnel are made. If a user reports symptoms such as coughing or chills, the server will suggest providing blankets and medication.

[0490] Each step involves automated operations, and the program is designed to efficiently support the management of evacuation shelters.

[0491] (Application Example 1)

[0492] 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."

[0493] Managing evacuation shelters during disasters presents a wide range of challenges. These include proper management of the environment within the shelters, rapid and accurate supply of goods, optimization of supply routes in accordance with the state of transportation networks, and implementation of appropriate support based on the health status of residents. This invention aims to solve these complex problems in real time and provide residents with a safe and secure evacuation shelter environment.

[0494] 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.

[0495] In this invention, the server includes means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified threshold value; means for monitoring the inventory status of multiple supplies and automatically replenishing them when they fall below a set threshold; and means for providing residents with disaster response information within the region in real time and recommending necessary support. This makes it possible to optimally manage the environment within evacuation centers even during disasters, prevent shortages of supplies, and provide timely and effective support to residents.

[0496] An "environmental measurement device" is a device that continuously acquires environmental data such as temperature, humidity, and carbon dioxide concentration, and provides it to a designated system in real time.

[0497] A "climate adjustment unit" is a device that automatically operates based on data from environmental measurement equipment to adjust air conditioning and ventilation.

[0498] "Stock status of supplies" refers to information indicating the quantity and usage status of items such as food and medicine within evacuation shelters.

[0499] "Automatic replenishment" is a process that automatically replenishes necessary supplies when inventory falls below a set threshold.

[0500] "Disaster response information" refers to information related to the operation of evacuation centers and necessary support measures for residents during a disaster.

[0501] In this application, a server takes the lead in implementing each function. The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental monitoring devices and analyzes it in real time using software such as Python or Django. Based on the results, it automatically operates the climate control unit to maintain a comfortable environment.

[0502] The server also monitors the inventory status of multiple supplies and automatically replenishes them when they fall below a set point. It uses the Django framework to interact with a database and send replenishment instructions to an external supply system. React is used to provide an interface in this process, displaying the current supply status to the user.

[0503] Furthermore, the server provides residents with real-time disaster preparedness information within their area. This is achieved by notifying smartphones and smart glasses of appropriate information from the server based on environmental data and the status of transportation networks. Users can then make necessary decisions during a disaster based on the information provided.

[0504] For example, if a sudden rise in room temperature is detected in an evacuation center in a certain area, the server will immediately send a signal to adjust the air conditioning system and warn the evacuees. Furthermore, if some supplies are running low, the system will notify suppliers in real time and coordinate appropriate replenishment.

[0505] An example of a prompt might be, "Please tell me how the system can help users receive the best possible support based on the latest shelter environment data." By inputting this prompt into the generating AI model, it becomes possible to present users with more specific ways of providing support.

[0506] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0507] Step 1:

[0508] The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental measurement devices. The input data is environmental information recorded in real time by the sensors. The program uses Python to analyze this data and evaluate whether each parameter exceeds a predetermined threshold. As output, it generates data analysis results and creates the necessary control signals based on those results.

[0509] Step 2:

[0510] The server sends a signal to the climate control unit based on the analysis results. This automatically adjusts the air conditioning and ventilation systems, ensuring a comfortable environment within the shelter at all times. The input is the control signal generated in step 1, and the output is an update of the unit's operating status. Specifically, this involves turning the air conditioning system on or off.

[0511] Step 3:

[0512] The server retrieves inventory data for multiple supplies and monitors it in real time. This is done using the Django framework to retrieve inventory information from a database, and an analysis program evaluates the inventory status. The input is the current inventory quantity of each supply, and the output is a warning signal if the inventory falls below a threshold. Specifically, it generates a list of supplies that need replenishment and triggers an automated ordering process.

[0513] Step 4:

[0514] The server collects disaster response information in real time and notifies users of this information. Users can receive the latest information via smartphones or smart glasses. The input is disaster information from external data sources, and the output is information sent as notifications to each user's terminal. Specifically, this includes traffic information and evacuation orders within the area.

[0515] Step 5:

[0516] Based on the information provided, the user decides on their actions within the evacuation shelter. The input is the disaster response information received in step 4, and the output is a set of options to support the user's decision-making. A generative AI model analyzes the prompt text and provides the user with the optimal course of action. Specifically, this includes advice on what supplies the user should prioritize securing within the evacuation shelter.

[0517] 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.

[0518] This invention is a system for effectively carrying out support activities in evacuation shelters, with a particular emphasis on taking into account the emotional state of the user. This system is implemented through the interaction of a server, a terminal, and the user.

[0519] First, environmental sensors connected to the terminal continuously acquire data such as temperature, humidity, and CO2 concentration, and transmit it to the server. The server analyzes this data, and if it exceeds predetermined thresholds, it automatically controls the air conditioning and ventilation systems to maintain a comfortable environment.

[0520] Furthermore, the terminals monitor the inventory levels of supplies using barcodes and RFID, and transmit the latest data to the server. Based on this information, the server detects items that have fallen below inventory thresholds and automatically sends orders to suppliers for replenishment. This makes it possible to prevent shortages of supplies.

[0521] Furthermore, the server acquires traffic information and supply chain status from external data sources and optimizes logistics plans based on this information. If a problem is detected, it calculates a new delivery route and notifies the logistics team, enabling a quick response.

[0522] This system also incorporates an emotion engine. When users interact with an AI chatbot through their terminal and input their health status and necessary supplies, the system also recognizes and analyzes their emotional state. The server combines this emotional information with health status information to provide more appropriate support supplies. For example, if a user is feeling stressed, the emotion engine will recommend relaxing environment settings and the provision of comforting supplies. In addition, it can notify the operations manager with feedback based on the emotional information, allowing for adjustments to the plan and suggestions for additional support.

[0523] Thus, by utilizing an emotion engine, the present invention realizes a system that enables a more individualized and dynamic understanding of the individual needs of evacuees and the provision of prompt and appropriate support.

[0524] The following describes the processing flow.

[0525] Step 1:

[0526] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. The server receives this data and creates a foundation for real-time monitoring of environmental conditions.

[0527] Step 2:

[0528] The server analyzes the environmental information it receives, and if the value exceeds a threshold, it automatically sends control signals to the air conditioning and ventilation systems. Specifically, if the room temperature exceeds 30 degrees Celsius, it activates the air conditioning.

[0529] Step 3:

[0530] The terminal periodically checks the inventory status of supplies and reports it to the server sequentially. Here, the inventory list is updated by barcode scanning.

[0531] Step 4:

[0532] The server detects equipment that falls below a pre-set threshold based on inventory data for multiple items. In this case, it senses that a particularly needed item is likely to be in short supply.

[0533] Step 5:

[0534] The server automatically generates replenishment orders and sends commands to suppliers requesting them to replenish the necessary supplies. For example, when the inventory of canned goods falls below 50, it will place an additional order for 100 cans.

[0535] Step 6:

[0536] The server retrieves current information on transportation routes and supply networks from external sources and optimizes the current logistics plan based on this information. If a road is blocked, it calculates a new alternative route.

[0537] Step 7:

[0538] Users interact with an AI chatbot via their device, inputting information about their health and necessary supplies. During this process, the device also acquires emotional data from the user's voice and facial expressions.

[0539] Step 8:

[0540] The server analyzes the user's health status and emotional information to suggest optimal support items and environmental adjustments. If the user is experiencing stress, it may recommend lowering the ambient temperature or providing items that promote relaxation.

[0541] Step 9:

[0542] The emotion engine performs further analysis based on user feedback and notifies the operations manager based on the results. The operations manager may use this information to adjust how the evacuation center is managed.

[0543] Step 10:

[0544] The server will ultimately integrate this data, create individualized plans for further assistance, and update them in real time.

[0545] This series of processes makes it possible to provide meticulous support that takes into account the feelings of users in evacuation shelters.

[0546] (Example 2)

[0547] 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."

[0548] In disaster relief shelters and other locations, rapid and individualized responses are required when environmental conditions change or resources become scarce, but conventional systems struggle to provide such appropriate responses. Furthermore, individualized support based on the psychological and health conditions of evacuees is necessary, but there has been a lack of effective methods to achieve this.

[0549] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0550] In this invention, the server includes means for monitoring environmental conditions acquired from an environmental detection device in real time and automatically controlling an environmental adjustment device when a predetermined threshold is exceeded; means for monitoring the inventory levels of multiple resources and automatically replenishing them when they fall below a predetermined threshold; and means for acquiring information on transportation routes and supply systems in real time and dynamically optimizing logistics plans. This enables rapid and individualized environmental management and resource replenishment of evacuation centers, optimization of logistics, and provision of appropriate support tailored to the psychological state of evacuees.

[0551] An "environmental detection device" is a device that can measure environmental parameters such as temperature, humidity, and carbon dioxide concentration in real time and acquire that data.

[0552] "Environmental conditions" refer to the set of meteorological conditions such as temperature, humidity, and carbon dioxide concentration at a designated location, such as an evacuation center.

[0553] An "environmental control device" is a device used to adjust environmental parameters, such as air conditioning and ventilation systems.

[0554] "Resource inventory levels" is an indicator that shows the current quantity of supplies and materials prepared in evacuation centers and other locations.

[0555] A "transportation route" is a path used to move goods or personnel from one point to a destination.

[0556] A "supply system" is a set of processes and equipment used to provide goods or services to the places and situations where they are needed.

[0557] A "logistics plan" is a plan to ensure the efficient movement and distribution of goods.

[0558] "Psychological state" refers to a person's emotional state, stress level, and mental health.

[0559] "Individualized support" refers to providing support and services tailored to each individual's specific needs and circumstances.

[0560] This invention is a system that automates and streamlines environmental management and individual support in evacuation shelters. The system operates primarily through the interaction of servers, terminals, and users. Details of each element are described below.

[0561] The terminal is connected to an environmental sensing device and has the function of acquiring environmental conditions such as temperature, humidity, and carbon dioxide concentration in real time. The terminal is responsible for transmitting this data to the server.

[0562] The server analyzes environmental data received from terminals and, if it exceeds a predetermined threshold, sends control commands to the environmental adjustment device to automatically perform adjustments. The server also monitors the inventory levels of multiple resources and automatically replenishes them if they fall below the threshold. Furthermore, it acquires information on transportation routes and supply systems to dynamically optimize logistics plans.

[0563] Users can input their health status and necessary supplies using an AI-powered conversation function via their device. The server analyzes the user's psychological state and provides personalized support tailored to their needs. In this way, rapid and individualized responses become possible in evacuation shelters.

[0564] For example, if a user reports to their device that they have been experiencing increased stress recently, the server will automatically suggest items that have a relaxing effect. Also, if CO2 levels rise, the server will control the ventilation system and take appropriate measures to improve air quality.

[0565] An example of a prompt message might be: "Please suggest the optimal air conditioning settings based on the environmental data of the evacuation center. Also, please provide ideas for relief supplies for evacuees who are experiencing stress."

[0566] Thus, the present invention is a system that automates the management of complex environments and psychological states, and provides concrete means for realizing smooth operation and support activities in evacuation shelters.

[0567] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0568] Step 1:

[0569] The terminal acquires data such as temperature, humidity, and carbon dioxide concentration from environmental sensing devices. This data is measured in real time and transmitted from the terminal to the server. The input is numerical data from environmental sensors, and the output is data sent to the server.

[0570] Step 2:

[0571] The server analyzes the received environmental data and checks whether it exceeds a pre-set threshold. The data is processed using an analysis engine, and if, for example, the CO2 concentration is high, it sends a control signal to the environmental control device to activate the ventilation system. This results in an output of an regulated environment.

[0572] Step 3:

[0573] The terminal monitors resource inventory levels using barcode scanners and RFID readers. It transmits the acquired inventory information to the server. The input is inventory information, and the output is an inventory status report sent to the server.

[0574] Step 4:

[0575] The server monitors inventory information and, if it falls below a threshold, generates an instruction for automatic replenishment. The generated instruction is sent to the supply system. This ensures that replenishment is carried out automatically to prevent resource shortages.

[0576] Step 5:

[0577] The server retrieves information on transportation routes and supply systems from external sources and dynamically optimizes logistics plans. It uses analytical algorithms to calculate the optimal route and notifies logistics personnel of its results. This enables efficient delivery of goods.

[0578] Step 6:

[0579] Users input their health information and psychological state into the AI's conversational function via their device. The input data is sent to a server to analyze the user's emotional state.

[0580] Step 7:

[0581] The server analyzes the user's psychological state and proposes personalized support based on the results. It uses an emotion engine for analysis, for example, to generate suggestions for relaxing items for a user experiencing stress. This result is then fed back to the user.

[0582] (Application Example 2)

[0583] 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."

[0584] In evacuation shelters, it is necessary to provide individualized and prompt support, taking into account not only the environmental conditions and the supply of goods, but also the emotional state of the users. Conventional support systems have been unable to accurately grasp the emotional state of users and dynamically change the support accordingly, making it difficult to provide support that is adapted to each individual evacuee. This invention aims to solve this problem.

[0585] 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.

[0586] In this invention, the server includes means for monitoring environmental information in real time and automatically controlling environmental adjustment equipment when it exceeds a predetermined threshold; means for monitoring the inventory level of goods and automatically replenishing them when it falls below a predetermined threshold; means for collecting information on logistics flows and supply networks in real time and dynamically optimizing logistics plans; and means for analyzing the emotional state of users and dynamically adjusting support content based on emotional information. This enables personalized support tailored to the user's situation and emotions.

[0587] - "Environmental information" refers to data including values ​​such as temperature, humidity, and carbon dioxide concentration, and indicates the climate and air quality within the evacuation center.

[0588] "Environmental adjustment equipment" refers to devices that adjust the temperature and quality of the air based on acquired environmental information, and includes air conditioners and ventilation systems.

[0589] "Items" refers to the supplies and relief goods needed at evacuation centers, including daily necessities, food, and medical supplies.

[0590] "Inventory level" refers to the quantity of specific items present in the evacuation center, which is regularly monitored for automatic replenishment.

[0591] "Logistical routes" refer to the paths by which goods and relief supplies move from their source to evacuation centers, and include roads and delivery routes.

[0592] A "supply network" refers to the entire distribution route from the production or storage of goods to their eventual delivery to evacuation shelters, and is also known as a supply chain.

[0593] "Users" refers to people who use evacuation shelters, and includes evacuees and support staff.

[0594] "Emotional state" refers to the user's psychological or mental health, and includes emotions such as stress, relief, and anxiety.

[0595] A "conversational medium" refers to an interface for interacting with users, and includes systems that respond via text or voice.

[0596] "Dynamic adjustment" refers to adapting the system's operation and output in response to data that changes in real time.

[0597] This invention is a system for efficiently managing the environment, supplies, and user support in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users, and is configured as follows:

[0598] The server receives data from sensors in real time to acquire environmental information and controls environmental control equipment based on this data. Information such as temperature, humidity, and carbon dioxide concentration is acquired as needed, and automatic adjustments are made to maintain a comfortable environment.

[0599] Furthermore, to monitor inventory levels, RFID and barcodes are used to collect information on supplies and transmit it to a server. The server automatically places orders for replenishment if any items fall below a predetermined threshold. This ensures that supplies within the evacuation center are always adequately supplied.

[0600] Furthermore, the server acquires information on logistics routes and supply networks from external sources. This allows for dynamic revision of logistics plans in emergencies and abnormal situations, and enables the rapid calculation of new delivery routes.

[0601] The terminal provides a conversational medium for inputting the user's health and emotional state. The data entered by the user is analyzed by an emotion engine, and the support content is dynamically adjusted based on this analysis. This ensures that support is tailored to each individual user.

[0602] As a concrete example, the system can recommend necessary emotional support when a user's emotional state changes significantly. For instance, it could ask, "How are you feeling today?" via an AI chatbot and suggest relaxation methods or activities based on the user's response.

[0603] An example of a prompt generated by an AI model is, "The user has indicated they are experiencing stress. What kind of support will you provide?" This is used to instruct the system on specific countermeasures.

[0604] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0605] Step 1:

[0606] The terminal acquires temperature, humidity, and carbon dioxide concentration data in real time from environmental sensors. Client software uses this data as input to compare it against predetermined thresholds. The results of this comparison are then sent to the server.

[0607] Step 2:

[0608] The server receives environmental data sent from the terminal and, if it exceeds a threshold, sends control signals to the environmental control equipment. Specifically, it instructs the air conditioning to be turned on or off and the ventilation system to operate, optimizing the environment. This output represents a comfortable environment after adjustment.

[0609] Step 3:

[0610] The user inputs inventory data for supplies via a terminal. The terminal uses an RFID or barcode reader to acquire this data and transmit it to the server. Using this inventory information as input, the server compares it with predetermined thresholds and places orders for automatic replenishment as needed. The output represents the appropriate inventory status of the items.

[0611] Step 4:

[0612] The server retrieves information on logistics routes and supply chains from external data sources. Using this data as input, it runs an algorithm to dynamically optimize logistics planning. If problems are detected, it plans a new delivery route and presents it to the logistics team. The output is the optimized logistics route.

[0613] Step 5:

[0614] Users input their health and emotional states through a terminal. This input data is analyzed by an emotion engine on the terminal. Based on the analysis results, the server adjusts the support provided and offers additional support as needed. This output represents a customized support plan tailored to the user.

[0615] Step 6:

[0616] The server uses a generative AI model to create and suggest prompts based on the user's emotional state. For example, if the analysis indicates that the user is stressed, it might ask, "How are you feeling today?" and suggest appropriate support. This output represents the suggested ways for the user to refresh themselves.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] [Fourth Embodiment]

[0621] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0622] 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.

[0623] 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).

[0624] 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.

[0625] 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.

[0626] 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).

[0627] 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.

[0628] 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.

[0629] 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.

[0630] 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.

[0631] 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.

[0632] 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.

[0633] 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".

[0634] This invention is a system for facilitating support activities in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users.

[0635] First, environmental sensors connected to the terminal continuously measure temperature, humidity, CO2 concentration, etc., and transmit this data to the server. The server analyzes the received data and generates commands to control the air conditioning and ventilation systems if they exceed predetermined thresholds. For example, if the indoor temperature exceeds 30 degrees Celsius, the server sends a signal to activate the air conditioning system, automatically maintaining a comfortable environment.

[0636] Next, inventory data for multiple pieces of equipment is recorded using a terminal. The server monitors this inventory data in real time, and if an item falls below a set threshold, it automatically places a replenishment order. For example, if the stock of emergency food falls below 50 servings, the server automatically sends an order for 100 servings to the supplier.

[0637] Furthermore, the server obtains traffic information and supply status from external data sources and evaluates the condition of transportation routes and supply networks. In the event of road closures or power supply problems, it optimizes logistics plans, calculates new delivery routes, and notifies relevant parties. This optimizes the delivery of goods, allowing them to reach shelters quickly.

[0638] Finally, users can use their devices to interact with an AI chatbot and report their health status and necessary supplies. The server analyzes this information, determines the appropriate supplies, and suggests them to the user. It can also notify support staff to ensure appropriate assistance is provided. For example, if a user reports a cough or chills, the server generates payment requests for a blanket and cold medicine and allocates them from inventory.

[0639] This invention enables real-time environmental management, rapid provision of supplies, and appropriate support, thereby solving the challenges in managing evacuation shelters during disasters.

[0640] The following describes the processing flow.

[0641] Step 1:

[0642] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. This allows environmental information within the evacuation center to be aggregated on the server in real time.

[0643] Step 2:

[0644] The server analyzes the environmental data it receives and determines whether it exceeds a set threshold. For example, if the temperature exceeds 30 degrees Celsius, it determines that the environment is not comfortable.

[0645] Step 3:

[0646] The server sends commands to the air conditioning and ventilation systems as needed. If the temperature is high, it adjusts the temperature by sending a cooling command to the air conditioning system.

[0647] Step 4:

[0648] The terminal periodically checks the inventory of supplies and sends the latest inventory data to the server. The inventory data is updated using barcodes or RFID.

[0649] Step 5:

[0650] The server checks the inventory level of each piece of equipment and detects items that have fallen below a threshold. If an item is below the threshold, it determines that replenishment is necessary.

[0651] Step 6:

[0652] The server automatically generates replenishment orders for any missing supplies and sends them to suppliers. For example, if emergency food supplies run low, it will send an additional order via email.

[0653] Step 7:

[0654] The server obtains traffic conditions and supply chain status from external information providers. This allows it to gather the information necessary to calculate the optimal delivery route for goods.

[0655] Step 8:

[0656] The server optimizes the logistics plan based on that information. If a problem is found, it calculates an alternative route and notifies the logistics team.

[0657] Step 9:

[0658] Users interact with an AI chatbot through their device, inputting their health status and the need for relief supplies. This allows for the collection of individual evacuee needs.

[0659] Step 10:

[0660] The server analyzes information from users to identify appropriate support supplies and services. For example, it might select to provide medication to a user complaining of a cough.

[0661] Step 11:

[0662] Based on the analysis results, the server makes suggestions to the user and, if necessary, issues instructions to provide the appropriate items from inventory. The user can provide feedback on the suggested items and services.

[0663] (Example 1)

[0664] 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".

[0665] In disaster relief shelters, it is crucial to quickly and effectively manage changes in environmental conditions and shortages of supplies, and to provide appropriate support to evacuees. However, conventional methods have faced challenges in real-time environmental control, automated replenishment of supplies, and optimizing support based on the health status of evacuees. It is necessary to solve these problems and streamline the operation of disaster relief shelters.

[0666] 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.

[0667] In this invention, the server includes means for immediately monitoring environmental conditions obtained from an environmental detection device and automatically operating an environmental adjustment device if a set limit value is exceeded; means for monitoring the quantities of multiple materials and automatically replenishing them if they fall below a set threshold; and means for immediately collecting information on transportation routes and supply systems and variably optimizing the logistics plan. This enables real-time environmental management during disasters, automation of material replenishment, and rapid optimization of logistics plans.

[0668] An "environmental detection device" is a device that measures and collects physical environmental data (e.g., temperature, humidity, CO2 concentration, etc.).

[0669] An "environmental adjustment device" is a device used to adjust environmental conditions based on measured environmental data, and examples include air conditioning systems and ventilation systems.

[0670] "Materials" is a general term for items and equipment necessary for the operation of evacuation shelters, and includes emergency food and medical supplies.

[0671] A "conversational interface" is software equipped with artificial intelligence that has the ability to interact with the user, analyzing user input and providing appropriate information and services.

[0672] "Logistics planning" refers to the process of formulating a plan for transporting goods and determining the optimal route and method as needed.

[0673] The present invention provides a system that supports the operation of evacuation shelters during disasters by utilizing the interaction of servers, terminals, and users. This system combines hardware and software such as environmental sensors, air conditioning systems, inventory management systems, and AI chatbots to collect and analyze information in real time and perform automatic control.

[0674] First, the terminal connects to environmental sensors and continuously measures environmental data such as temperature, humidity, and CO2 concentration, transmitting this data to a server. The server performs real-time analysis based on this data and sends a command to the air conditioning system if a predetermined threshold is exceeded. This operation automatically optimizes the environment within the facility.

[0675] Furthermore, users input equipment inventory data using a terminal. The server then monitors the inventory status, and if the equipment falls below a set threshold, it automatically places an order with the supplier immediately.

[0676] Furthermore, the server periodically acquires external traffic and supply information to optimize logistics plans in real time. In the event of road closures or supply disruptions, a new delivery route is calculated and immediately notified to all relevant parties.

[0677] Using an AI chatbot, users can report their health status and necessary supplies. This information is processed on a server, which then provides specific assistance suggestions and notifies the appropriate personnel.

[0678] For example, if the temperature inside the evacuation center exceeds 30 degrees Celsius, the server will issue a command to activate the air conditioning, immediately creating a comfortable environment. Also, if the stock of emergency food falls below 50 meals, an additional 100 meals will be automatically ordered.

[0679] Examples of prompts that utilize the generative AI model include: "The temperature in the evacuation center is high; please suggest what measures should be taken if necessary," and "Based on the current inventory situation, please predict when the next order should be placed."

[0680] In this form, the present invention efficiently supports the operation of evacuation shelters during disasters and provides prompt and accurate assistance.

[0681] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0682] Step 1:

[0683] The terminal is connected to an environmental sensor and periodically measures environmental data such as temperature, humidity, and CO2 concentration. The measured data is stored in the terminal and sent to the server every few minutes. Based on this input data, the server monitors and analyzes the environmental conditions in real time. If a threshold is exceeded, a control signal is generated to operate the air conditioning system. In this case, if the measured temperature exceeds 30 degrees Celsius, a command to start the air conditioner is issued.

[0684] Step 2:

[0685] Users record the incoming and outgoing shipments of various supplies using a terminal. The entered inventory data is aggregated on a server, and the stock levels are monitored in real time. Based on this inventory data, the server automatically places orders for replenishment when levels fall below a threshold. For example, if the stock of emergency food falls below 50 servings, a replenishment order for 100 servings is generated and sent to the supplier.

[0686] Step 3:

[0687] The server periodically retrieves traffic and supply information from external data sources. Based on this input data, it evaluates the current logistics situation and calculates new delivery routes as needed. If road closures are detected, the server immediately calculates the optimal transportation plan and notifies the relevant parties.

[0688] Step 4:

[0689] Users interact with an AI chatbot through their device, reporting their health status and necessary supplies. The entered information is sent to a server for analysis. Based on the results of this analysis, suggestions for necessary relief supplies and notifications to support personnel are made. If a user reports symptoms such as coughing or chills, the server will suggest providing blankets and medication.

[0690] Each step involves automated operations, and the program is designed to efficiently support the management of evacuation shelters.

[0691] (Application Example 1)

[0692] 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".

[0693] Managing evacuation shelters during disasters presents a wide range of challenges. These include proper management of the environment within the shelters, rapid and accurate supply of goods, optimization of supply routes in accordance with the state of transportation networks, and implementation of appropriate support based on the health status of residents. This invention aims to solve these complex problems in real time and provide residents with a safe and secure evacuation shelter environment.

[0694] 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.

[0695] In this invention, the server includes means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified threshold value; means for monitoring the inventory status of multiple supplies and automatically replenishing them when they fall below a set threshold; and means for providing residents with disaster response information within the region in real time and recommending necessary support. This makes it possible to optimally manage the environment within evacuation centers even during disasters, prevent shortages of supplies, and provide timely and effective support to residents.

[0696] An "environmental measurement device" is a device that continuously acquires environmental data such as temperature, humidity, and carbon dioxide concentration, and provides it to a designated system in real time.

[0697] A "climate adjustment unit" is a device that automatically operates based on data from environmental measurement equipment to adjust air conditioning and ventilation.

[0698] "Stock status of supplies" refers to information indicating the quantity and usage status of items such as food and medicine within evacuation shelters.

[0699] "Automatic replenishment" is a process that automatically replenishes necessary supplies when inventory falls below a set threshold.

[0700] "Disaster response information" refers to information related to the operation of evacuation centers and necessary support measures for residents during a disaster.

[0701] In this application, a server takes the lead in implementing each function. The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental monitoring devices and analyzes it in real time using software such as Python or Django. Based on the results, it automatically operates the climate control unit to maintain a comfortable environment.

[0702] The server also monitors the inventory status of multiple supplies and automatically replenishes them when they fall below a set point. It uses the Django framework to interact with a database and send replenishment instructions to an external supply system. React is used to provide an interface in this process, displaying the current supply status to the user.

[0703] Furthermore, the server provides residents with real-time disaster preparedness information within their area. This is achieved by notifying smartphones and smart glasses of appropriate information from the server based on environmental data and the status of transportation networks. Users can then make necessary decisions during a disaster based on the information provided.

[0704] For example, if a sudden rise in room temperature is detected in an evacuation center in a certain area, the server will immediately send a signal to adjust the air conditioning system and warn the evacuees. Furthermore, if some supplies are running low, the system will notify suppliers in real time and coordinate appropriate replenishment.

[0705] An example of a prompt might be, "Please tell me how the system can help users receive the best possible support based on the latest shelter environment data." By inputting this prompt into the generating AI model, it becomes possible to present users with more specific ways of providing support.

[0706] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0707] Step 1:

[0708] The server acquires environmental data such as temperature, humidity, and carbon dioxide concentration from environmental measurement devices. The input data is environmental information recorded in real time by the sensors. The program uses Python to analyze this data and evaluate whether each parameter exceeds a predetermined threshold. As output, it generates data analysis results and creates the necessary control signals based on those results.

[0709] Step 2:

[0710] The server sends a signal to the climate control unit based on the analysis results. This automatically adjusts the air conditioning and ventilation systems, ensuring a comfortable environment within the shelter at all times. The input is the control signal generated in step 1, and the output is an update of the unit's operating status. Specifically, this involves turning the air conditioning system on or off.

[0711] Step 3:

[0712] The server retrieves inventory data for multiple supplies and monitors it in real time. This is done using the Django framework to retrieve inventory information from a database, and an analysis program evaluates the inventory status. The input is the current inventory quantity of each supply, and the output is a warning signal if the inventory falls below a threshold. Specifically, it generates a list of supplies that need replenishment and triggers an automated ordering process.

[0713] Step 4:

[0714] The server collects disaster response information in real time and notifies users of this information. Users can receive the latest information via smartphones or smart glasses. The input is disaster information from external data sources, and the output is information sent as notifications to each user's terminal. Specifically, this includes traffic information and evacuation orders within the area.

[0715] Step 5:

[0716] Based on the information provided, the user decides on their actions within the evacuation shelter. The input is the disaster response information received in step 4, and the output is a set of options to support the user's decision-making. A generative AI model analyzes the prompt text and provides the user with the optimal course of action. Specifically, this includes advice on what supplies the user should prioritize securing within the evacuation shelter.

[0717] 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.

[0718] This invention is a system for effectively carrying out support activities in evacuation shelters, with a particular emphasis on taking into account the emotional state of the user. This system is implemented through the interaction of a server, a terminal, and the user.

[0719] First, environmental sensors connected to the terminal continuously acquire data such as temperature, humidity, and CO2 concentration, and transmit it to the server. The server analyzes this data, and if it exceeds predetermined thresholds, it automatically controls the air conditioning and ventilation systems to maintain a comfortable environment.

[0720] Furthermore, the terminals monitor the inventory levels of supplies using barcodes and RFID, and transmit the latest data to the server. Based on this information, the server detects items that have fallen below inventory thresholds and automatically sends orders to suppliers for replenishment. This makes it possible to prevent shortages of supplies.

[0721] Furthermore, the server acquires traffic information and supply chain status from external data sources and optimizes logistics plans based on this information. If a problem is detected, it calculates a new delivery route and notifies the logistics team, enabling a quick response.

[0722] This system also incorporates an emotion engine. When users interact with an AI chatbot through their terminal and input their health status and necessary supplies, the system also recognizes and analyzes their emotional state. The server combines this emotional information with health status information to provide more appropriate support supplies. For example, if a user is feeling stressed, the emotion engine will recommend relaxing environment settings and the provision of comforting supplies. In addition, it can notify the operations manager with feedback based on the emotional information, allowing for adjustments to the plan and suggestions for additional support.

[0723] Thus, by utilizing an emotion engine, the present invention realizes a system that enables a more individualized and dynamic understanding of the individual needs of evacuees and the provision of prompt and appropriate support.

[0724] The following describes the processing flow.

[0725] Step 1:

[0726] The terminal acquires temperature, humidity, and CO2 concentration data from environmental sensors and sends it to the server. The server receives this data and creates a foundation for real-time monitoring of environmental conditions.

[0727] Step 2:

[0728] The server analyzes the environmental information it receives, and if the value exceeds a threshold, it automatically sends control signals to the air conditioning and ventilation systems. Specifically, if the room temperature exceeds 30 degrees Celsius, it activates the air conditioning.

[0729] Step 3:

[0730] The terminal periodically checks the inventory status of supplies and reports it to the server sequentially. Here, the inventory list is updated by barcode scanning.

[0731] Step 4:

[0732] The server detects equipment that falls below a pre-set threshold based on inventory data for multiple items. In this case, it senses that a particularly needed item is likely to be in short supply.

[0733] Step 5:

[0734] The server automatically generates replenishment orders and sends commands to suppliers requesting them to replenish the necessary supplies. For example, when the inventory of canned goods falls below 50, it will place an additional order for 100 cans.

[0735] Step 6:

[0736] The server retrieves current information on transportation routes and supply networks from external sources and optimizes the current logistics plan based on this information. If a road is blocked, it calculates a new alternative route.

[0737] Step 7:

[0738] Users interact with an AI chatbot via their device, inputting information about their health and necessary supplies. During this process, the device also acquires emotional data from the user's voice and facial expressions.

[0739] Step 8:

[0740] The server analyzes the user's health status and emotional information to suggest optimal support items and environmental adjustments. If the user is experiencing stress, it may recommend lowering the ambient temperature or providing items that promote relaxation.

[0741] Step 9:

[0742] The emotion engine performs further analysis based on user feedback and notifies the operations manager based on the results. The operations manager may use this information to adjust how the evacuation center is managed.

[0743] Step 10:

[0744] The server will ultimately integrate this data, create individualized plans for further assistance, and update them in real time.

[0745] This series of processes makes it possible to provide meticulous support that takes into account the feelings of users in evacuation shelters.

[0746] (Example 2)

[0747] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0748] In disaster relief shelters and other locations, rapid and individualized responses are required when environmental conditions change or resources become scarce, but conventional systems struggle to provide such appropriate responses. Furthermore, individualized support based on the psychological and health conditions of evacuees is necessary, but there has been a lack of effective methods to achieve this.

[0749] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0750] In this invention, the server includes means for monitoring environmental conditions acquired from an environmental detection device in real time and automatically controlling an environmental adjustment device when a predetermined threshold is exceeded; means for monitoring the inventory levels of multiple resources and automatically replenishing them when they fall below a predetermined threshold; and means for acquiring information on transportation routes and supply systems in real time and dynamically optimizing logistics plans. This enables rapid and individualized environmental management and resource replenishment of evacuation centers, optimization of logistics, and provision of appropriate support tailored to the psychological state of evacuees.

[0751] An "environmental detection device" is a device that can measure environmental parameters such as temperature, humidity, and carbon dioxide concentration in real time and acquire that data.

[0752] "Environmental conditions" refer to the set of meteorological conditions such as temperature, humidity, and carbon dioxide concentration at a designated location, such as an evacuation center.

[0753] An "environmental control device" is a device used to adjust environmental parameters, such as air conditioning and ventilation systems.

[0754] "Resource inventory levels" is an indicator that shows the current quantity of supplies and materials prepared in evacuation centers and other locations.

[0755] A "transportation route" is a path used to move goods or personnel from one point to a destination.

[0756] A "supply system" is a set of processes and equipment used to provide goods or services to the places and situations where they are needed.

[0757] A "logistics plan" is a plan to ensure the efficient movement and distribution of goods.

[0758] "Psychological state" refers to a person's emotional state, stress level, and mental health.

[0759] "Individualized support" refers to providing support and services tailored to each individual's specific needs and circumstances.

[0760] This invention is a system that automates and streamlines environmental management and individual support in evacuation shelters. The system operates primarily through the interaction of servers, terminals, and users. Details of each element are described below.

[0761] The terminal is connected to an environmental sensing device and has the function of acquiring environmental conditions such as temperature, humidity, and carbon dioxide concentration in real time. The terminal is responsible for transmitting this data to the server.

[0762] The server analyzes environmental data received from terminals and, if it exceeds a predetermined threshold, sends control commands to the environmental adjustment device to automatically perform adjustments. The server also monitors the inventory levels of multiple resources and automatically replenishes them if they fall below the threshold. Furthermore, it acquires information on transportation routes and supply systems to dynamically optimize logistics plans.

[0763] Users can input their health status and necessary supplies using an AI-powered conversation function via their device. The server analyzes the user's psychological state and provides personalized support tailored to their needs. In this way, rapid and individualized responses become possible in evacuation shelters.

[0764] For example, if a user reports to their device that they have been experiencing increased stress recently, the server will automatically suggest items that have a relaxing effect. Also, if CO2 levels rise, the server will control the ventilation system and take appropriate measures to improve air quality.

[0765] An example of a prompt message might be: "Please suggest the optimal air conditioning settings based on the environmental data of the evacuation center. Also, please provide ideas for relief supplies for evacuees who are experiencing stress."

[0766] Thus, the present invention is a system that automates the management of complex environments and psychological states, and provides concrete means for realizing smooth operation and support activities in evacuation shelters.

[0767] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0768] Step 1:

[0769] The terminal acquires data such as temperature, humidity, and carbon dioxide concentration from environmental sensing devices. This data is measured in real time and transmitted from the terminal to the server. The input is numerical data from environmental sensors, and the output is data sent to the server.

[0770] Step 2:

[0771] The server analyzes the received environmental data and checks whether it exceeds a pre-set threshold. The data is processed using an analysis engine, and if, for example, the CO2 concentration is high, it sends a control signal to the environmental control device to activate the ventilation system. This results in an output of an regulated environment.

[0772] Step 3:

[0773] The terminal monitors resource inventory levels using barcode scanners and RFID readers. It transmits the acquired inventory information to the server. The input is inventory information, and the output is an inventory status report sent to the server.

[0774] Step 4:

[0775] The server monitors inventory information and, if it falls below a threshold, generates an instruction for automatic replenishment. The generated instruction is sent to the supply system. This ensures that replenishment is carried out automatically to prevent resource shortages.

[0776] Step 5:

[0777] The server retrieves information on transportation routes and supply systems from external sources and dynamically optimizes logistics plans. It uses analytical algorithms to calculate the optimal route and notifies logistics personnel of its results. This enables efficient delivery of goods.

[0778] Step 6:

[0779] Users input their health information and psychological state into the AI's conversational function via their device. The input data is sent to a server to analyze the user's emotional state.

[0780] Step 7:

[0781] The server analyzes the user's psychological state and proposes personalized support based on the results. It uses an emotion engine for analysis, for example, to generate suggestions for relaxing items for a user experiencing stress. This result is then fed back to the user.

[0782] (Application Example 2)

[0783] 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 robot 414 as the "terminal".

[0784] In evacuation shelters, it is necessary to provide individualized and prompt support, taking into account not only the environmental conditions and the supply of goods, but also the emotional state of the users. Conventional support systems have been unable to accurately grasp the emotional state of users and dynamically change the support accordingly, making it difficult to provide support that is adapted to each individual evacuee. This invention aims to solve this problem.

[0785] 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.

[0786] In this invention, the server includes means for monitoring environmental information in real time and automatically controlling environmental adjustment equipment when it exceeds a predetermined threshold; means for monitoring the inventory level of goods and automatically replenishing them when it falls below a predetermined threshold; means for collecting information on logistics flows and supply networks in real time and dynamically optimizing logistics plans; and means for analyzing the emotional state of users and dynamically adjusting support content based on emotional information. This enables personalized support tailored to the user's situation and emotions.

[0787] - "Environmental information" refers to data including values ​​such as temperature, humidity, and carbon dioxide concentration, and indicates the climate and air quality within the evacuation center.

[0788] "Environmental adjustment equipment" refers to devices that adjust the temperature and quality of the air based on acquired environmental information, and includes air conditioners and ventilation systems.

[0789] "Items" refers to the supplies and relief goods needed at evacuation centers, including daily necessities, food, and medical supplies.

[0790] "Inventory level" refers to the quantity of specific items present in the evacuation center, which is regularly monitored for automatic replenishment.

[0791] "Logistical routes" refer to the paths by which goods and relief supplies move from their source to evacuation centers, and include roads and delivery routes.

[0792] A "supply network" refers to the entire distribution route from the production or storage of goods to their eventual delivery to evacuation shelters, and is also known as a supply chain.

[0793] "Users" refers to people who use evacuation shelters, and includes evacuees and support staff.

[0794] "Emotional state" refers to the user's psychological or mental health, and includes emotions such as stress, relief, and anxiety.

[0795] A "conversational medium" refers to an interface for interacting with users, and includes systems that respond via text or voice.

[0796] "Dynamic adjustment" refers to adapting the system's operation and output in response to data that changes in real time.

[0797] This invention is a system for efficiently managing the environment, supplies, and user support in evacuation shelters. This system is implemented through the interaction of a server, terminals, and users, and is configured as follows:

[0798] The server receives data from sensors in real time to acquire environmental information and controls environmental control equipment based on this data. Information such as temperature, humidity, and carbon dioxide concentration is acquired as needed, and automatic adjustments are made to maintain a comfortable environment.

[0799] Furthermore, to monitor inventory levels, RFID and barcodes are used to collect information on supplies and transmit it to a server. The server automatically places orders for replenishment if any items fall below a predetermined threshold. This ensures that supplies within the evacuation center are always adequately supplied.

[0800] Furthermore, the server acquires information on logistics routes and supply networks from external sources. This allows for dynamic revision of logistics plans in emergencies and abnormal situations, and enables the rapid calculation of new delivery routes.

[0801] The terminal provides a conversational medium for inputting the user's health and emotional state. The data entered by the user is analyzed by an emotion engine, and the support content is dynamically adjusted based on this analysis. This ensures that support is tailored to each individual user.

[0802] As a concrete example, the system can recommend necessary emotional support when a user's emotional state changes significantly. For instance, it could ask, "How are you feeling today?" via an AI chatbot and suggest relaxation methods or activities based on the user's response.

[0803] An example of a prompt generated by an AI model is, "The user has indicated they are experiencing stress. What kind of support will you provide?" This is used to instruct the system on specific countermeasures.

[0804] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0805] Step 1:

[0806] The terminal acquires temperature, humidity, and carbon dioxide concentration data in real time from environmental sensors. Client software uses this data as input to compare it against predetermined thresholds. The results of this comparison are then sent to the server.

[0807] Step 2:

[0808] The server receives environmental data sent from the terminal and, if it exceeds a threshold, sends control signals to the environmental control equipment. Specifically, it instructs the air conditioning to be turned on or off and the ventilation system to operate, optimizing the environment. This output represents a comfortable environment after adjustment.

[0809] Step 3:

[0810] The user inputs inventory data for supplies via a terminal. The terminal uses an RFID or barcode reader to acquire this data and transmit it to the server. Using this inventory information as input, the server compares it with predetermined thresholds and places orders for automatic replenishment as needed. The output represents the appropriate inventory status of the items.

[0811] Step 4:

[0812] The server retrieves information on logistics routes and supply chains from external data sources. Using this data as input, it runs an algorithm to dynamically optimize logistics planning. If problems are detected, it plans a new delivery route and presents it to the logistics team. The output is the optimized logistics route.

[0813] Step 5:

[0814] Users input their health and emotional states through a terminal. This input data is analyzed by an emotion engine on the terminal. Based on the analysis results, the server adjusts the support provided and offers additional support as needed. This output represents a customized support plan tailored to the user.

[0815] Step 6:

[0816] The server uses a generative AI model to create and suggest prompts based on the user's emotional state. For example, if the analysis indicates that the user is stressed, it might ask, "How are you feeling today?" and suggest appropriate support. This output represents the suggested ways for the user to refresh themselves.

[0817] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 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.

[0818] 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.

[0819] In the above embodiment, an example was given in which the 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 robot 414.

[0820] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0821] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0822] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0823] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0824] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0825] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0826] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0827] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0828] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0829] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0830] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0831] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0832] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0833] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0834] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0835] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0836] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0837] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0838] The following is further disclosed regarding the embodiments described above.

[0839] (Claim 1)

[0840] A means for monitoring weather information acquired from environmental sensors in real time and automatically controlling climate control devices when a predetermined threshold is exceeded,

[0841] A means of monitoring the inventory levels of multiple supplies and automatically replenishing them when they fall below a predetermined threshold,

[0842] A means of dynamically optimizing logistics plans by collecting information on transportation routes and supply networks in real time,

[0843] A conversational agent is provided to analyze the health status and needs of evacuees, and a means is provided to provide appropriate support based on the analysis results.

[0844] A system that includes this.

[0845] (Claim 2)

[0846] The system according to claim 1, further comprising means for dynamically optimizing and presenting the types and quantities of relief supplies based on the health data and environmental data of evacuees.

[0847] (Claim 3)

[0848] The system according to claim 1, further comprising means for notifying when an abnormal condition is detected in the climate control device and equipment replenishment, and for coordinating with the operations manager to implement the most appropriate countermeasures.

[0849] "Example 1"

[0850] (Claim 1)

[0851] A means for immediately monitoring environmental conditions obtained from an environmental detection device and automatically operating an environmental control device when the set limit value is exceeded,

[0852] A means of monitoring the quantity of multiple materials and automatically replenishing them when they fall below a set threshold,

[0853] A means for instantly collecting information on transportation routes and supply systems and flexibly optimizing logistics plans,

[0854] A conversational interface is provided to analyze the health status and needs of evacuees, and a means is provided to provide appropriate support based on the analysis results.

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, further comprising means for variably optimizing and presenting the types and quantities of support materials based on the health information and environmental information of the evacuees.

[0858] (Claim 3)

[0859] The system according to claim 1, further comprising means for notifying when an abnormal situation is detected in the environmental control device and the replenishment of materials, and for coordinating with the administrator to implement the most appropriate countermeasures.

[0860] "Application Example 1"

[0861] (Claim 1)

[0862] A means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified boundary value,

[0863] A means of monitoring the inventory status of multiple supplies and automatically resupplying them when they fall below a set threshold,

[0864] A means of acquiring real-time data on transportation routes and supply chains and dynamically improving delivery plans,

[0865] A means of providing a dialogue agent to analyze the physical condition and needs of evacuees, and to provide appropriate assistance based on the results of that analysis,

[0866] A means of providing residents with real-time disaster response information within the region and recommending necessary support,

[0867] A system that includes this.

[0868] (Claim 2)

[0869] The system according to claim 1, comprising means for dynamically optimizing and presenting the types and quantities of relief supplies based on the health information and environmental information of evacuees.

[0870] (Claim 3)

[0871] The system according to claim 1, comprising means for notifying when a climate adjustment unit and supply chain detect an abnormal condition and for taking the best possible action in cooperation with the operations manager.

[0872] "Example 2 of combining an emotion engine"

[0873] (Claim 1)

[0874] A means for monitoring environmental conditions acquired from an environmental detection device in real time and automatically controlling an environmental adjustment device when a predetermined threshold is exceeded,

[0875] A means of monitoring the inventory levels of multiple resources and automatically replenishing them when they fall below a predetermined threshold,

[0876] A means of acquiring information on transportation routes and supply systems in real time and dynamically optimizing logistics plans,

[0877] A means of providing a conversation function to analyze the psychological state and needs of evacuees, and to provide appropriate assistance based on the analysis results,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, further comprising means for dynamically optimizing and presenting the types and quantities of aid supplies based on the health information and environmental information of evacuees.

[0881] (Claim 3)

[0882] The system according to claim 1, further comprising means for notifying when an abnormal condition is detected in the environmental adjustment device and resource replenishment, and for coordinating with the administrator to implement the most appropriate countermeasures.

[0883] "Application example 2 when combining with an emotional engine"

[0884] (Claim 1)

[0885] A means for monitoring environmental information in real time and automatically controlling environmental control equipment when it exceeds a predetermined threshold,

[0886] A means of monitoring the inventory level of goods and automatically replenishing them when they fall below a predetermined threshold,

[0887] A means of collecting information on logistics routes and supply chains in real time and dynamically optimizing logistics plans,

[0888] A means of providing a conversational medium to analyze the user's health status and needs, and to provide appropriate support based on the analysis results,

[0889] A means for analyzing the emotional state of users and dynamically adjusting support content based on emotional information,

[0890] A system that includes this.

[0891] (Claim 2)

[0892] The system according to claim 1, further comprising means for dynamically optimizing and presenting the types and quantities of support supplies based on the user's health data, emotional data, and environmental data.

[0893] (Claim 3)

[0894] The system according to claim 1, further comprising means for notifying when an abnormal condition is detected in the replenishment of environmental control equipment and goods, and for coordinating with the administrator to implement the most appropriate countermeasures. [Explanation of Symbols]

[0895] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for continuously evaluating weather information acquired from an environmental measurement device and automatically adjusting the climate adjustment unit when it exceeds a specified boundary value, A means of monitoring the inventory status of multiple supplies and automatically resupplying them when they fall below a set threshold, A means of acquiring real-time data on transportation routes and supply chains and dynamically improving delivery plans, A means of providing a dialogue agent to analyze the physical condition and needs of evacuees, and to provide appropriate assistance based on the results of that analysis, A means of providing residents with real-time disaster response information within the region and recommending necessary support, A system that includes this.

2. The system according to claim 1, comprising means for dynamically optimizing and presenting the types and quantities of relief supplies based on the health information and environmental information of evacuees.

3. The system according to claim 1, further comprising means for notifying when a climate adjustment unit and supply chain detect an abnormal condition and for taking the best possible action in cooperation with the operations manager.

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