System

Abstract

A system is provided.SOLUTION: A system comprising: means for real-time monitoring of device status data obtained from a sensor; means for sending the obtained data to a terminal; means for the terminal to forward the data to a server; means for the server to store and analyze the data in a database; means for the server to generate a control instruction based on the data analysis result; means for sending the generated control instruction to the terminal; and means for the terminal to forward the control instruction to the device to automatically adjust the operation of the device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, 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] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional device control systems require a lot of manual operation and lack automation, making it difficult to operate efficiently and save energy. Furthermore, when an abnormality occurs, the response is slow, which can lead to device failure and major damage. Furthermore, it is difficult for users to quickly grasp the current status of the system and any abnormalities and take appropriate action. To solve these issues, a new device control system is needed. [Means for solving the problem]

[0005] The present invention provides a system that monitors device status data acquired from sensors in real time and transmits the acquired data to a terminal. The terminal transfers the data to a server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and transmits them to the terminal. The terminal then transfers the control commands to the device and automatically adjusts the device's operation, achieving efficient operation and energy savings. Furthermore, the system provides a user interface that allows users to check the current system status and abnormal conditions, and reflects changes to the system settings in real time, enabling rapid response.

[0006] A "sensor" is a device that measures the state of a device and environmental information in real time and acquires that data.

[0007] A "terminal" is a device that receives data from a sensor and transfers it to a server.

[0008] The "server" is a central processing device that stores data received from terminals in a database, analyzes the data, and generates necessary control commands.

[0009] A "database" is a system for structuring and storing data received by a server.

[0010] "Real-time" is a concept that refers to data acquisition and processing occurring almost instantaneously.

[0011] "Analysis" is the process of evaluating acquired data and comparing it with pre-set conditions.

[0012] "Control commands" are instructions generated by the server to adjust the operation of the device based on the analysis results.

[0013] A "device" is a machine or equipment that is monitored by sensors and operates based on instructions from a terminal and a server.

[0014] A "user interface" is a display and input means that allows a user to check the current state of the system and any abnormal conditions, and to change settings as necessary.

[0015] A "user" is a person or organization that uses the system to perform operations or change settings. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a 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.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0030] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention relates to a system for achieving efficient automatic control of devices using sensors, terminals, a server, and a user interface. In this system, sensors acquire device status data in real time and send the data to the terminal. The terminal then forwards the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and sends the control commands back to the terminal. The terminal then forwards the control commands to the device, automatically adjusting the device's operation. This process minimizes manual operation, achieving efficient device operation and energy savings.

[0038] The system also provides a user interface that allows users to check the current status and abnormal conditions and take appropriate action, allowing users to change system settings in real time.

[0039] Explanation of program processing

[0040] 1. Sensor data collection and transmission

[0041] The sensors measure the device's operating status and environmental information in real time and acquire the data.

[0042] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[0043] 2. Data collection in a central control unit

[0044] The sensor data received by the device is transferred to the server, using protocols such as HTTP and MQTT for communication.

[0045] The server's central control unit receives the data and converts it into a specified format.

[0046] 3. Data analysis and condition comparison

[0047] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0048] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[0049] 4. Automatically adjust device behavior

[0050] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0051] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[0052] 5. Providing a user interface

[0053] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0054] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0055] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[0056] Specific examples

[0057] Example 1: Automatic control of air conditioners

[0058] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[0059] 2. The terminal transfers the measurement results to the central control unit of the server.

[0060] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[0061] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[0062] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary.

[0063] Example 2: Preventive maintenance for industrial machinery

[0064] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[0065] 2. The device sends the acquired data to the server.

[0066] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[0067] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[0068] 5. Users can view historical vibration data through a dashboard and schedule preventative maintenance.

[0069] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[0070] The processing flow will be explained below.

[0071] Step 1:

[0072] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[0073] Step 2:

[0074] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[0075] Step 3:

[0076] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[0077] Step 4:

[0078] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[0079] Step 5:

[0080] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[0081] Step 6:

[0082] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[0083] Step 7:

[0084] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[0085] Step 8:

[0086] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[0087] Step 9:

[0088] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0089] Step 10:

[0090] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[0091] Step 11:

[0092] When a user changes system settings through the interface, the server immediately updates the device and changes its behavior, allowing for real-time system-wide adjustments.

[0093] Through the above processing steps, the server, terminal, and user work together to achieve efficient device management.

[0094] Example 1

[0095] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0096] Efficient data collection and analysis, as well as the generation and execution of appropriate control commands, are important for the automatic control of devices. However, in conventional systems, these processes are often performed manually, resulting in low efficiency. Furthermore, they often lack a real-time interface that allows users to understand the device status and take appropriate action. Furthermore, it is difficult to respond quickly when an abnormality is detected, which can lead to a decrease in the reliability of the entire system.

[0097] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0098] In this invention, the server includes a means for monitoring device status data acquired from sensors in real time, a means for transmitting the acquired data to the terminal, a means for the terminal to transfer the data to the server, a means for the server to store and analyze the data in a database, a means for the server to generate control commands based on the data analysis results, a means for transmitting the generated control commands to the terminal, and a means for the terminal to transfer the control commands to the device and automatically adjust the device's operation. This enables efficient automatic control of the device and energy conservation. Furthermore, the system includes a means for providing a user interface that allows the user to check the current system status and abnormal conditions, and a means for the server to reflect user setting changes in real time and change the device's operation, allowing the user to appropriately monitor and control the system. Furthermore, the system includes a means for transmitting data acquired by the sensors to the terminal using a communication method such as Wi-Fi or Bluetooth, and a means for the terminal to transfer the sensor data received by the terminal to the server using a protocol such as HTTP or MQTT, thereby achieving high-speed and reliable data communication and enabling rapid response to abnormalities.

[0099] A "sensor" is a device that acquires device status data and environmental information in real time.

[0100] A "terminal" is a device that receives data acquired from a sensor and transfers it to a server.

[0101] A "server" is a computer system having a central control unit for analyzing received data and generating and sending control instructions to the terminals.

[0102] A "database" is an information management system that stores and analyzes data collected by a server.

[0103] A "control command" is an instruction generated by the server based on the results of data analysis to adjust the operation of the device.

[0104] A "user interface" is an operation screen that allows the user to check the current state of the system and any abnormal conditions, and to change settings.

[0105] "Wi-Fi" is a communication method for transferring data using wireless communication technology.

[0106] "Bluetooth" is a communication method for transferring data using short-range wireless communication technology.

[0107] "HTTP" is an abbreviation for Hypertext Transfer Protocol, a protocol for transferring data between a server and a terminal.

[0108] "MQTT" stands for Message Queuing Telemetry Transport and is a lightweight communication protocol for transferring data between servers and terminals.

[0109] "Real-time" refers to the ability to process and communicate data almost instantly.

[0110] The present invention relates to a system for realizing efficient automatic control of devices using sensors, terminals, a server, and a user interface. The system functions as follows.

[0111] First, a sensor measures the device's operating status and environmental information in real time and acquires that data. For example, a temperature sensor measures the room temperature every minute. Next, the sensor sends the acquired data to the device using a communication method such as Wi-Fi or Bluetooth. For example, a temperature sensor may send its measurement data to the device via Bluetooth.

[0112] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT. For example, the terminal sends room temperature data to the server as an HTTP request. The server's central control unit receives the data and converts it into a specified format. For example, the server converts the received JSON format data into its internal format.

[0113] The server then compares the received data with pre-defined operating conditions or standards. For example, the server compares the room temperature data with the set temperature. If the server detects an abnormality in the data, it executes a pre-defined protocol (e.g., alarm or device shutdown). For example, if the room temperature exceeds the set temperature, the server generates a command to turn on the air conditioner.

[0114] The server's central control unit generates the necessary control commands based on the data analysis results and sends them to the terminal. For example, the server generates a command to turn on the air conditioner and sends it to the terminal. The terminal then forwards the control command received from the server to the device, automatically adjusting the device's operation. A specific example is when the terminal receives a command to turn on the air conditioner and forwards it to the air conditioner to operate it.

[0115] The server also provides a web interface and app that allows users to check the current system status and any abnormal conditions. Through this, users can monitor the device status in real time and change settings as necessary. For example, a user may check the room temperature on a smartphone app and change the set temperature. The server then reflects the user's setting changes in real time on the device and affects the device's operation. When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[0116] Specific examples

[0117] Example 1: Automatic control of air conditioners

[0118] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device. Example: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[0119] 2. The device transfers the measurement results to the server's central control unit via an HTTP request. Example: The device sends room temperature data to the server.

[0120] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal. Example: The server generates an instruction to operate the air conditioner and sends it to the terminal.

[0121] 4. The terminal forwards the command received from the server to the air conditioner and turns it on. Example: The terminal receives an instruction to turn on the air conditioner, forwards it to the air conditioner, and turns it on.

[0122] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary. Example: The user checks the room temperature through the smartphone app and changes the set temperature.

[0123] Example 2: Preventive maintenance for industrial machinery

[0124] 1. The sensor monitors the operating status and vibration of the machine in real time and sends the data to the device. Example: A vibration sensor measures the vibration of the machine and sends it to the device via Wi-Fi.

[0125] 2. The device sends the acquired data to the server as an HTTP request. Example: The device sends vibration data to the server.

[0126] 3. If the vibration data exceeds a predetermined standard value, the server generates a warning and sends it to the device. Example: The server detects abnormal vibration, generates a warning, and sends it to the device.

[0127] 4. The terminal notifies the machine operator of a warning message and executes an automatic machine stop command if necessary. Example: The terminal notifies the operator of a warning and automatically stops the machine.

[0128] 5. User checks historical vibration data through the dashboard and schedules preventive maintenance. Example: User checks vibration data through the dashboard and schedules maintenance.

[0129] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[0130] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0131] Program processing steps

[0132] Step 1: Collect and transmit sensor data

[0133] Sensors measure device status data and environmental information (e.g., room temperature, humidity, vibration, etc.) in real time.

[0134] Input: The physical condition to be measured (room temperature, humidity, vibration, etc.).

[0135] Output: Measured data (e.g. room temperature 23°C, humidity 45%).

[0136] The sensor transmits the acquired data to the terminal using communication methods such as Wi-Fi or Bluetooth.

[0137] Input: Measured data.

[0138] Output: Data sent to the device.

[0139] Specific operation: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[0140] Step 2: Aggregating data into a central control unit

[0141] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT.

[0142] Input: Data received from the sensor.

[0143] Output: The data sent to the server.

[0144] Specific operation: The device sends room temperature data to the server as an HTTP request.

[0145] The server's central control unit receives the data and converts it into a specified format.

[0146] Input: Data received from the terminal.

[0147] Output: Data converted to internal format.

[0148] Specific operation: The server converts the received JSON format data into an internal format.

[0149] Step 3: Data analysis and condition comparison

[0150] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0151] Input: Data converted into internal format, pre-set operating conditions.

[0152] Output: Comparison result (whether the condition is met or not).

[0153] What happens: The server compares the room temperature data with the set temperature.

[0154] If the server detects an abnormality in the data, it executes a preset emergency response protocol.

[0155] Input: Comparison results, emergency response protocol.

[0156] Output: Execute emergency response.

[0157] Specific behavior: If the room temperature exceeds the set temperature, the server generates an alarm.

[0158] Step 4: Automatically adjust device behavior

[0159] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0160] Input: Data analysis results.

[0161] Output: Control instructions.

[0162] Specific operation: The server generates a command to turn on the air conditioner and sends it to the terminal.

[0163] The terminal transfers the control command received from the server to the device and automatically adjusts the operation of the device.

[0164] Input: Control command received from the server.

[0165] Output: The control instructions sent to the device.

[0166] Specific operation: The terminal receives the air conditioner operation command and forwards it to the air conditioner to operate it.

[0167] Step 5: Providing a User Interface

[0168] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0169] Input: Current and abnormal situation data.

[0170] Output: Information displayed in the user interface.

[0171] What it does: Provides a dashboard that can be accessed via a web browser.

[0172] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0173] Input: User monitoring and configuration change requests.

[0174] Output: Display of data and reflection of configuration changes.

[0175] Specific operation: The user checks the room temperature using a smartphone app and changes the set temperature.

[0176] The server reflects the setting changes made by the user on the terminal in real time, and reflects them in the operation of the device.

[0177] Input: User-initiated configuration changes.

[0178] Output: The device behavior with the configuration changes applied.

[0179] Specific operation: When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[0180] (Application example 1)

[0181] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0182] Conventional robot control systems in logistics centers have had the problem of requiring a lot of manual operation, making it difficult to improve efficiency. There was also a demand for a system that could grasp surrounding environmental information, such as temperature, humidity, and location data, in real time and automatically generate optimal routes and operational instructions. Furthermore, there was a lack of an interface that allowed users to check this information in real time and change settings.

[0183] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0184] In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to a terminal, means for the terminal to transfer the data to the server, means for the server to store the data in a database and analyze it, means for the server to generate control commands based on the results of the data analysis, means for the server to transmit the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device's operation, means for monitoring the device's location, package status, and surrounding environment, and generating optimal routes and operation instructions based on this data, and means for providing a user interface. This enables efficient control and automation of robots within a logistics center, and allows users to change settings and check the status in real time.

[0185] A "sensor" is a device that acquires device status data in real time and transmits that information to a terminal.

[0186] A "terminal" is a device that transfers data acquired from a sensor to a server and transfers control commands received from the server to the device.

[0187] A "server" is a device that stores data transferred from a terminal in a database and analyzes it. It also has the function of generating control commands based on the results of data analysis and sending them to the terminal.

[0188] A "database" is a system that stores data collected by a server and allows it to be searched and analyzed as needed.

[0189] A "control command" is a command that the server generates based on the results of data analysis to automatically adjust the operation of the device.

[0190] A "user interface" is an interface that allows users to check the current status and abnormal conditions of the system and change settings.

[0191] "Device" refers to a device to be controlled, and in this system includes a robot or the like.

[0192] "Environmental information" is data that indicates the surrounding conditions, such as temperature, humidity, and location data.

[0193] The "optimal route" is information indicating the most appropriate route for the device to operate efficiently.

[0194] An "operation instruction" is command information required for a device to perform a specific operation.

[0195] This invention relates to an efficient automatic control system for robots in a logistics center. This system is realized using sensors, terminals, a server, and a user interface.

[0196] System configuration

[0197] 1. Sensor

[0198] The sensors monitor the device's status data (temperature, humidity, location data) in real time and transmit the data to the terminal.

[0199] 2. Terminal

[0200] The terminal transfers data acquired from the sensor to the server, and also has the function of transferring control commands from the server to the device.

[0201] 3. Server

[0202] The server stores the data received from the terminal in a database, analyzes it, generates control commands based on the analysis results, and sends these control commands back to the terminal.

[0203] The server also provides a user interface that allows users to check the current status of the system and any abnormal conditions, and change settings as necessary.

[0204] Data processing and control instruction generation

[0205] The server takes in the received data in real time and analyzes it. This analysis uses a data analysis algorithm that uses a generative AI model. Based on the analysis results, optimal routes and operational instructions are generated, and these control commands are sent to the terminal. The terminal then forwards the control commands to the device, which automatically adjusts the device's operation.

[0206] User Interface

[0207] Users can monitor the system's operating status and detect abnormal conditions through a dedicated interface (smartphone, tablet, or AR goggles), and can also change settings as needed. Changes are immediately reflected on the server and applied to the device in real time.

[0208] Specific examples

[0209] For example, when a robot transports goods within a logistics center, sensors monitor the robot's position, the condition of the goods, and the surrounding temperature and humidity. This data is collected by a terminal and sent to a server. The server analyzes the received data and generates the optimal route and operating instructions. These control commands are sent to the robot via the terminal, allowing the robot to operate efficiently.

[0210] Example prompts for generative AI models

[0211] Train a model to generate optimal routes and operational instructions for robots in a distribution center. Input data includes temperature, humidity, location, and package condition. Optimize routes and handle abnormalities to ensure efficient robot operation.

[0212] Such systems improve the efficiency and safety of logistics centers and minimize manual operations.

[0213] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0214] Step 1:

[0215] Sensors collect real-time device status data (such as temperature, humidity, and location data). This data is measured by the device's sensors and initially obtained in the form of raw data, which is the input data.

[0216] Step 2:

[0217] The raw data acquired from the sensor is sent to the terminal via communication means such as Wi-Fi or Bluetooth. The terminal receives this raw data and temporarily stores it. The received data is the input, and the temporarily stored data is the output.

[0218] Step 3:

[0219] The device transfers the temporarily stored data to the server using communication protocols such as HTTP or MQTT, allowing the sensor data to reach the server in real time.

[0220] Step 4:

[0221] The server receives the data transferred from the device and stores it in a database. While doing so, the server converts the data into a format suitable for analysis. The received data is the input, and the stored data is the output.

[0222] Step 5:

[0223] The server analyzes the stored data using a data analysis algorithm that uses a generative AI model. The data analyzed includes temperature, humidity, location information, and the condition of the luggage, and the optimal route and operating instructions are generated as a result of the analysis.

[0224] Step 6:

[0225] Based on the analysis results, the server generates control commands. These control commands are routes and operational instructions for the robot to operate efficiently. Analysis data is the input, and control commands are the output.

[0226] Step 7:

[0227] The server sends the generated control command back to the terminal, which receives the control command and forwards it to the device, which then automatically adjusts the device.

[0228] Step 8:

[0229] The devices (robots, etc.) adjust their operations in accordance with the received control commands to perform optimal operations, thereby achieving efficient work within the logistics center.

[0230] Step 9:

[0231] Users can check the current status of the system and any abnormalities in real time through a dedicated user interface (smartphone, tablet, AR goggles, etc.), and can change settings as needed, which are immediately updated on the server.

[0232] Step 10:

[0233] The server reflects the user's changes to the settings, generates new control commands, and sends them to the devices via the terminal. This process allows further adjustments to be made, improving the efficiency of the entire system.

[0234] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0235] The present invention relates to an efficient automatic control system for devices that combines sensors, terminals, servers, emotion engines, and user interfaces. This system uses sensors to acquire device status data in real time and transmits the data to the terminal. The terminal then transfers the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and transmits them back to the terminal. The terminal then transfers the control commands to the device, automatically adjusting the device's operation.

[0236] By incorporating an emotion engine into this system, it becomes possible to recognize the user's emotions in real time and adjust the device's operation accordingly. The emotion engine analyzes the user's facial expressions and voice and sends the data to a server. The server receives the emotion data and adjusts the device's operation in real time based on the analysis results. This allows the user to experience a more appropriate and comfortable device operation.

[0237] Explanation of program processing

[0238] 1. Sensor data collection and transmission

[0239] The sensors measure the device's operating status and environmental information in real time and acquire the data. The sensors are set to periodically update the data and keep the information up to date.

[0240] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[0241] 2. Data collection in a central control unit

[0242] The sensor data received by the device is transferred to the server using HTTP or MQTT as the communication protocol.

[0243] The server's central control unit receives the data and converts it into a specified format.

[0244] 3. Data analysis and condition comparison

[0245] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0246] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[0247] 4. Automatically adjust device behavior

[0248] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0249] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[0250] 5. Providing a user interface

[0251] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0252] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0253] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[0254] 6. Emotion Engine Data Collection and Transmission

[0255] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and obtain the user's emotional data.

[0256] The emotion engine transmits the acquired emotion data to the server.

[0257] 7. Analysis and reflection of emotional data

[0258] The server analyzes the emotion data sent from the emotion engine in real time and determines the user's emotional state.

[0259] Based on the emotion analysis results, the server generates additional control instructions for adjusting the device's operation and sends them to the terminal.

[0260] The terminal transfers the received control command to the device and automatically adjusts the operation of the device.

[0261] Specific examples

[0262] Example 1: Automatic control of air conditioners

[0263] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[0264] 2. The terminal transfers the measurement results to the central control unit of the server.

[0265] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[0266] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[0267] 5. The emotion engine analyzes the user's facial expressions and voice, and if the user feels "hot," it sends a command to the server to automatically lower the set temperature.

[0268] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[0269] 7. The terminal forwards the received additional command to the air conditioner and changes the set temperature.

[0270] 8. The user checks the current room temperature and air conditioning settings through the smartphone app and further adjusts the set temperature if necessary.

[0271] Example 2: Preventive maintenance for industrial machinery

[0272] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[0273] 2. The device sends the acquired data to the server.

[0274] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[0275] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[0276] 5. The emotion engine analyzes the operator's stress level and, if stress is high, sends a command to the server to adjust the machine's operating speed to reduce the workload.

[0277] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[0278] 7. The terminal forwards the received additional instructions to the machine and adjusts the operating speed.

[0279] 8. Users can view vibration data and operator emotional state through a dashboard and schedule preventative maintenance.

[0280] In this way, the sensors, terminals, servers, emotion engines, and users work together to achieve efficient and automated device management and improved user comfort.

[0281] The processing flow will be explained below.

[0282] Step 1:

[0283] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[0284] Step 2:

[0285] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[0286] Step 3:

[0287] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[0288] Step 4:

[0289] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[0290] Step 5:

[0291] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[0292] Step 6:

[0293] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[0294] Step 7:

[0295] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[0296] Step 8:

[0297] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[0298] Step 9:

[0299] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0300] Step 10:

[0301] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[0302] Step 11:

[0303] When a user changes system settings through the interface, the server immediately reflects that information on the terminal and affects the device's operation.

[0304] Step 12:

[0305] The emotion engine analyzes the user's facial expressions and voice to obtain the user's emotional data in real time. The emotion engine collects data using the camera and microphone.

[0306] Step 13:

[0307] The emotion data acquired by the emotion engine is sent to the server using a commonly used communication protocol.

[0308] Step 14:

[0309] The server receives and analyzes the emotion data sent from the emotion engine. The server then integrates and analyzes the emotion data with other sensor data to determine the user's emotional state.

[0310] Step 15:

[0311] The server generates additional control commands to adjust the device's operation based on the emotion analysis results. For example, if the user feels "hot," it generates a command to automatically lower the set temperature.

[0312] Step 16:

[0313] The server sends the generated additional control command to the terminal, which receives the control command and checks its contents.

[0314] Step 17:

[0315] The terminal forwards the received additional control commands to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0316] Through the above processing steps, the server, terminal, user, and emotion engine work together to achieve efficient and automated device management and improved user comfort.

[0317] Example 2

[0318] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0319] Conventional device control systems provide functions for collecting and analyzing sensor data and controlling devices, but they lack the ability to adequately control devices in real time based on the user's emotional state. Furthermore, they lack the means for users to intuitively check the current system status and abnormalities in real time and change settings accordingly. This has hindered improvements in user comfort and effective device management.

[0320] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer data to the server, means for the server to store and analyze the data in a database, means for the server to generate control commands based on the data analysis results, means for transmitting the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device operation, means for an emotion engine to analyze the user's facial expressions and voice and transmit the data to the server, means for the server to analyze emotion data and adjust the device operation in real time, means for providing a user interface that allows the user to check the current system status and abnormal conditions, and means for reflecting user setting changes in real time and reflecting them in the device operation. This enables device control based on the user's emotional state and intuitive, real-time system management.

[0321] A "sensor" is a device that measures physical environmental information or the state of a device in real time.

[0322] A "terminal" is a relay device that receives sensor data and transfers it to a server.

[0323] "Server" is a central control unit that stores and analyzes received data and generates and sends control commands.

[0324] A "database" is a system connected to a server for storing and managing received data.

[0325] "Analysis" is the process of comparing received data with set conditions and standards and generating the necessary control commands.

[0326] A "control command" is a command generated by the server based on the analysis results, and is an instruction to adjust the operation of the device.

[0327] The "emotion engine" is a system that uses a camera and microphone to analyze the user's facial expressions and voice to obtain emotional data.

[0328] A "user interface" is an interactive means by which a user can check the current status and abnormal conditions of a system and operate it.

[0329] "Real-time" refers to responding immediately to ongoing events and data, and processing without delay.

[0330] "Device" refers to the equipment or devices that are the target of control by the system, including air conditioners and industrial machinery.

[0331] This invention is an automatic control system that combines sensors, terminals, a server, an emotion engine, and a user interface. This system uses the following hardware and software to efficiently and automatically collect, analyze, and control data.

[0332] Sensor data collection

[0333] The sensors measure device status data and environmental information in real time, such as temperature, humidity, vibration status, etc. The measured data is immediately sent to the device.

[0334] Sending data to the device

[0335] The terminal receives the data sent from the sensor. Data is transferred using wireless communication technologies such as Wi-Fi and Bluetooth. This terminal has a communication function to transfer the received data to the server.

[0336] Transfer of data to the server

[0337] The terminal transfers the acquired data to the server, using HTTP or MQTT as the communication protocol. The server receives the data and stores it in a database.

[0338] Data analysis

[0339] The server stores the received data in a database and then analyzes it using pre-defined conditions and criteria – for example, if the room temperature exceeds a certain threshold, a specific action can be taken.

[0340] Generate and send control commands

[0341] The server generates control commands based on the analysis results, and sends the generated control commands to the terminal. The terminal then forwards the received control commands to the device to adjust the device's operation.

[0342] Use of emotion engine

[0343] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to capture the user's emotional state. This emotional data is also sent to the server, which analyzes it and reflects it in the device's operation.

[0344] Providing a user interface

[0345] The server provides a web interface and a smartphone app that allows users to check the current status of the system and any abnormalities. Users can change device settings through the interface, and the changes are reflected in the system in real time.

[0346] Specific examples

[0347] For example, consider an automatic air conditioner control system. A sensor measures the room temperature and humidity and sends the data to a terminal. The terminal transfers the data to a server, which analyzes the data. If the room temperature exceeds the set temperature, the server generates a command to operate the air conditioner and sends it to the terminal. The terminal transfers the command to the air conditioner, which turns it on. The emotion engine also analyzes the user's facial expression indicating that it is "hot" and sends it to the server. Based on the analysis results, the server generates a command to lower the set temperature and sends it to the terminal. The terminal transfers the command to the air conditioner, which adjusts the set temperature.

[0348] Prompt Sentence Examples

[0349] Please explain the specific flow and operation of each processing step, from collecting sensor data to executing control commands and even real-time adjustments using the emotion engine. Please include specific examples and situations.

[0350] This system configuration allows the device's operation to be dynamically adjusted according to the user's environmental and emotional state, resulting in more comfortable and efficient control.

[0351] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0352] Step 1:

[0353] Sensor data collection and transmission

[0354] Sensors measure and capture device status data and environmental information (e.g., temperature, humidity, vibration) in real time. The input is the physical environmental data captured by the sensor. The output is the measurement data sent to the device.

[0355] Specific operation: For example, in an air conditioner control system, a sensor measures the room temperature as 25°C and the humidity as 60%. This data is updated every minute and sent to the terminal.

[0356] Step 2:

[0357] Sending data to the device

[0358] The terminal receives data sent from the sensor. The input is the measurement data sent from the sensor. The output is a data packet that is forwarded to the server.

[0359] Specific operation: The device receives data from the sensor such as "room temperature 25°C, humidity 60%" and sends this to the server using the Wi-Fi protocol.

[0360] Step 3:

[0361] Transferring data from the device to the server

[0362] The terminal transfers the acquired data to the server. HTTP or MQTT is used as the communication protocol. The input is the sensor data received by the terminal. The output is the digital data received by the server.

[0363] Specific operation: The data received by the terminal, "room temperature 25°C, humidity 60%" is sent to the server using the HTTP protocol.

[0364] Step 4:

[0365] Data storage and analysis on the server

[0366] The server stores the received data in a database and then analyzes it. The input is the device status data received by the server. The output is the analysis results and control commands generated based on them.

[0367] Specific operation: The server stores the data "room temperature 25°C, humidity 60%" in the database and performs a comparative analysis with the set standard (e.g., turn on the air conditioner if the room temperature exceeds 26°C).

[0368] Step 5:

[0369] Generation of control commands and transmission from the server to the terminal

[0370] The server generates control commands based on the data analysis results and sends them to the terminal. The input is the analysis results. The output is the control commands received by the terminal.

[0371] Specific operation: If the result shows that the room temperature exceeds 26°C, the server generates a command to turn on the air conditioner and sends it to the terminal.

[0372] Step 6:

[0373] Transfer of control commands from terminal to device

[0374] The terminal transfers the received control commands to the device and adjusts the device's operation. The input is the control command from the server. The output is the control command passed to the device.

[0375] Specific operation: The terminal receives the command "Turn on the air conditioner" from the server and forwards it to the air conditioner, which turns on the air conditioner.

[0376] Step 7:

[0377] Providing a user interface

[0378] The server provides a web interface and a smartphone app that allows users to check the current status and abnormal conditions of the system. The input is the latest device status data stored on the server. The output is the status information displayed on the user's screen.

[0379] Specific operation: The user can check on the smartphone app that the current room temperature is 25°C and that the air conditioner is on.

[0380] Step 8:

[0381] Emotion engine data collection and transmission

[0382] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and sends the emotion data to the server. The input is the user's facial expressions and voice. The output is the emotion data sent to the server.

[0383] Specific operation: The emotion engine captures the user's facial expression that indicates they feel "hot" and sends that data to the server.

[0384] Step 9:

[0385] Emotion data analysis on the server and reflection on the device

[0386] The server analyzes the emotion data sent from the emotion engine, generates additional control commands to adjust the device's operation based on the user's emotional state, and sends them to the terminal. The input is the emotion data from the emotion engine, and the output is the control command passed to the device.

[0387] Specific operation: The server analyzes the emotion data, detects that the user feels "hot," generates a command to lower the air conditioner's temperature setting, and sends it to the device. The device then forwards the received command to the air conditioner, which then lowers the temperature setting.

[0388] (Application example 2)

[0389] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0390] Existing security systems are required not only to detect anomalies but also to immediately take appropriate action when an anomaly occurs. It is also important to understand the emotions and stress levels of security personnel and take appropriate countermeasures, but no system exists that can do this in real time. The purpose of this invention is to realize more effective security measures by combining the collection and analysis of real-time data by sensors and the analysis of users' emotional states using an emotion engine.

[0391] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer the data to the server, means for the server to store and analyze the data in a database, means for the server to generate a control command based on the data analysis results, means for transmitting the generated control command to the terminal, means for the terminal to transfer the control command to the device and automatically adjust the device's operation, means for the emotion engine to acquire user emotion data using a camera and microphone and transmit it to the server, means for the server to analyze the emotion data and generate additional control commands based on the analysis results, and means for transmitting the generated additional control commands to the terminal, and means for the terminal to transfer the control command to the device and automatically adjust the device's operation. This enables the security system to analyze environmental data and user emotion data in real time and automatically take appropriate measures.

[0392] A "sensor" is a device that measures the state of the physical environment or a device and acquires the data.

[0393] A "terminal" is a device that receives data obtained from a sensor and transfers the data to a server.

[0394] A "server" is a computer system that stores received data in a database, analyzes it, and generates control commands.

[0395] A "database" is a system for managing and storing collected data.

[0396] "Analysis" is the process of analyzing collected data and identifying anomalies and patterns.

[0397] A "control command" is instruction information for adjusting the operation of a device based on the analysis results.

[0398] The "emotion engine" is a system that analyzes the user's emotional state from their facial expressions and voice and generates that data.

[0399] A "user interface" is a tool that provides users with the current status and abnormal conditions of the system and allows users to operate and monitor the system.

[0400] A "camera" is a device that collects video data.

[0401] A "microphone" is a device that collects audio data.

[0402] "Real time" means that data acquisition and processing occurs in real time, i.e., immediately, without delay.

[0403] This system combines sensors, terminals, a server, an emotion engine, and a user interface to automatically control the operation of a security robot in real time. Specific embodiments of the present invention will be described below with reference to the following examples.

[0404] Hardware and software used

[0405] 1. Security robot body: This is the central device of the system.

[0406] 2. Sensors: Temperature sensors, motion sensors, cameras, etc. are used to collect physical data about the environment and human detection data.

[0407] 3. Communication module: Sends and receives data using Wi-Fi or Bluetooth.

[0408] 4. Microphone: Collects audio data and uses it for sentiment analysis.

[0409] 5. Emotion engine: Software that analyzes the user's facial expressions and voice and generates emotional data.

[0410] 6. Device control unit (central control unit): Software in the server that analyzes data and generates control commands.

[0411] 7. Database: A system for storing and managing collected data.

[0412] 8. User Interface: An app or web interface that displays the current system status and abnormal conditions, and allows users to monitor and operate the system.

[0413] Acquiring and Sending Data

[0414] First, the sensors measure environmental data (temperature, movement, video, etc.) in real time and send the data to the terminal. The terminal converts the received data into a specific format and sends it to the server via the communication module. The server stores this data in a database and begins analysis.

[0415] Data analysis and control instruction generation

[0416] The server analyzes the received data and determines whether there are any abnormalities. If an abnormality is detected, the server generates appropriate control commands (e.g., activate an alarm or start recording video) and sends them to the terminal. The terminal then forwards these control commands to the security robot, automatically adjusting the device's operation.

[0417] Operating the Emotion Engine

[0418] The emotion engine uses the security robot's on-board camera and microphone to analyze the facial expressions and voice of the person it is facing in real time. The resulting emotion data is sent to a server, which then analyzes the data to determine the person's emotional state. Based on the results of this analysis, additional control commands (e.g., switching the robot to alert mode or notifying an administrator) are generated and sent to the security robot via a terminal.

[0419] Providing a user interface

[0420] Users can monitor and operate the system through a smartphone app or web interface, which allows them to check the current system status, abnormal conditions, and sentiment analysis results in real time, and also allows them to change settings and manually control the system as needed.

[0421] Specific examples

[0422] Security robot operation example

[0423] When a sensor detects environmental data (for example, an abnormal rise in temperature), it sends that data to the terminal. The terminal then sends the data to the server, which analyzes the data and checks for abnormalities. If an abnormality is detected, the server generates a control command to sound an alarm and sends it to the terminal. The terminal then forwards the control command to the robot, which then sounds the alarm.

[0424] The emotion engine also analyzes the facial expressions of people it encounters, and if it detects nervousness or suspicious behavior, it sends the emotion data to the server, which then analyzes the data, generates a control command to instruct the robot to switch to alert mode, and sends the command to the robot via the terminal.

[0425] Prompt Sentence Examples

[0426] "Please tell me how to program a system that automatically processes data obtained from sensors and adapts the behavior of a security robot. The sensors will use temperature, movement, and cameras, and will include a process of analyzing voice and facial expressions with an emotion engine and sending the results to a server. The program should have the robot sound an alarm, start recording, and perform other operations based on commands from the server."

[0427] In this way, this system can achieve efficient monitoring and response in a security environment.

[0428] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0429] Step 1:

[0430] The terminal collects environmental data (temperature, movement, video, etc.) obtained from sensors. The input is real-time data from the sensors, and the output is data in a unified format. Specifically, the terminal receives signals from each sensor and processes them to convert them into a data format.

[0431] Step 2:

[0432] The terminal sends the unified data to the server. The input is the unified data processed in step 1, and the output is the data transferred to the server via the network. The terminal uses Wi-Fi or Bluetooth to send data using HTTP or MQTT protocols.

[0433] Step 3:

[0434] The server stores the received data in a database. The input is the environmental data sent from the device, and the output is the stored data written to the database. The server stores the data in a structured manner using an appropriate database management system (e.g., RDBMS or NoSQL).

[0435] Step 4:

[0436] The server analyzes the stored data and detects anomalies. The input is environmental data retrieved from the database, and the output is the analysis results. The server applies machine learning algorithms and rule-based analysis methods to detect anomalies.

[0437] Step 5:

[0438] The server generates a control command when an abnormality is detected. The input is the analysis result from step 4, and the output is the generated control command. Specifically, based on the analysis result, it creates commands such as sounding an alarm or starting recording.

[0439] Step 6:

[0440] The server sends the generated control command to the terminal. Its input is the generated control command, and its output is the control command sent to the terminal. The server sends the command to the terminal in an appropriate format and it is reflected quickly.

[0441] Step 7:

[0442] The terminal transfers the received control commands to the security robot and automatically adjusts the robot's behavior. The input is the control command sent from the server, and the output is the executed robot behavior. The terminal sends instructions to the robot's control unit to perform specific actions.

[0443] Step 8:

[0444] The emotion engine uses a camera and microphone to capture the user's emotional data and transmits it to the server. Its input is real-time data from the camera and microphone, and its output is emotional data. The emotion engine tags the user's emotional state using image analysis and audio analysis techniques.

[0445] Step 9:

[0446] The server analyzes the emotion data and generates additional control commands based on the analysis results. The input is the emotion data, and the output is the generated additional control commands. The server evaluates the analysis results and outputs appropriate additional measures as commands.

[0447] Step 10:

[0448] The server sends the generated additional control command to the terminal, and the terminal transfers the control command to the security robot to automatically adjust its behavior. The input is the additional control command, and the output is the executed robot behavior. Specifically, the robot performs actions such as switching to alert mode or notifying an administrator.

[0449] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0450] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0451] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0452] [Second embodiment]

[0453] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0454] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0455] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0456] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0457] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0458] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0459] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0460] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0461] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0462] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0463] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0464] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0465] The present invention relates to a system for achieving efficient automatic control of devices using sensors, terminals, a server, and a user interface. In this system, sensors acquire device status data in real time and send the data to the terminal. The terminal then forwards the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and sends the control commands back to the terminal. The terminal then forwards the control commands to the device, automatically adjusting the device's operation. This process minimizes manual operation, achieving efficient device operation and energy savings.

[0466] The system also provides a user interface that allows users to check the current status and abnormal conditions and take appropriate action, allowing users to change system settings in real time.

[0467] Explanation of program processing

[0468] 1. Sensor data collection and transmission

[0469] The sensors measure the device's operating status and environmental information in real time and acquire the data.

[0470] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[0471] 2. Data collection in a central control unit

[0472] The sensor data received by the device is transferred to the server, using protocols such as HTTP and MQTT for communication.

[0473] The server's central control unit receives the data and converts it into a specified format.

[0474] 3. Data analysis and condition comparison

[0475] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0476] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[0477] 4. Automatically adjust device behavior

[0478] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0479] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[0480] 5. Providing a user interface

[0481] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0482] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0483] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[0484] Specific examples

[0485] Example 1: Automatic control of air conditioners

[0486] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[0487] 2. The terminal transfers the measurement results to the central control unit of the server.

[0488] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[0489] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[0490] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary.

[0491] Example 2: Preventive maintenance for industrial machinery

[0492] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[0493] 2. The device sends the acquired data to the server.

[0494] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[0495] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[0496] 5. Users can view historical vibration data through a dashboard and schedule preventative maintenance.

[0497] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[0498] The processing flow will be explained below.

[0499] Step 1:

[0500] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[0501] Step 2:

[0502] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[0503] Step 3:

[0504] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[0505] Step 4:

[0506] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[0507] Step 5:

[0508] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[0509] Step 6:

[0510] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[0511] Step 7:

[0512] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[0513] Step 8:

[0514] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[0515] Step 9:

[0516] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0517] Step 10:

[0518] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[0519] Step 11:

[0520] When a user changes system settings through the interface, the server immediately updates the device and changes its behavior, allowing for real-time system-wide adjustments.

[0521] Through the above processing steps, the server, terminal, and user work together to achieve efficient device management.

[0522] Example 1

[0523] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0524] Efficient data collection and analysis, as well as the generation and execution of appropriate control commands, are important for the automatic control of devices. However, in conventional systems, these processes are often performed manually, resulting in low efficiency. Furthermore, they often lack a real-time interface that allows users to understand the device status and take appropriate action. Furthermore, it is difficult to respond quickly when an abnormality is detected, which can lead to a decrease in the reliability of the entire system.

[0525] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0526] In this invention, the server includes a means for monitoring device status data acquired from sensors in real time, a means for transmitting the acquired data to the terminal, a means for the terminal to transfer the data to the server, a means for the server to store and analyze the data in a database, a means for the server to generate control commands based on the data analysis results, a means for transmitting the generated control commands to the terminal, and a means for the terminal to transfer the control commands to the device and automatically adjust the device's operation. This enables efficient automatic control of the device and energy conservation. Furthermore, the system includes a means for providing a user interface that allows the user to check the current system status and abnormal conditions, and a means for the server to reflect user setting changes in real time and change the device's operation, allowing the user to appropriately monitor and control the system. Furthermore, the system includes a means for transmitting data acquired by the sensors to the terminal using a communication method such as Wi-Fi or Bluetooth, and a means for the terminal to transfer the sensor data received by the terminal to the server using a protocol such as HTTP or MQTT, thereby achieving high-speed and reliable data communication and enabling rapid response to abnormalities.

[0527] A "sensor" is a device that acquires device status data and environmental information in real time.

[0528] A "terminal" is a device that receives data acquired from a sensor and transfers it to a server.

[0529] A "server" is a computer system having a central control unit for analyzing received data and generating and sending control instructions to the terminals.

[0530] A "database" is an information management system that stores and analyzes data collected by a server.

[0531] A "control command" is an instruction generated by the server based on the results of data analysis to adjust the operation of the device.

[0532] A "user interface" is an operation screen that allows the user to check the current state of the system and any abnormal conditions, and to change settings.

[0533] "Wi-Fi" is a communication method for transferring data using wireless communication technology.

[0534] "Bluetooth" is a communication method for transferring data using short-range wireless communication technology.

[0535] "HTTP" is an abbreviation for Hypertext Transfer Protocol, a protocol for transferring data between a server and a terminal.

[0536] "MQTT" stands for Message Queuing Telemetry Transport and is a lightweight communication protocol for transferring data between servers and terminals.

[0537] "Real-time" refers to the ability to process and communicate data almost instantly.

[0538] The present invention relates to a system for realizing efficient automatic control of devices using sensors, terminals, a server, and a user interface. The system functions as follows.

[0539] First, a sensor measures the device's operating status and environmental information in real time and acquires that data. For example, a temperature sensor measures the room temperature every minute. Next, the sensor sends the acquired data to the device using a communication method such as Wi-Fi or Bluetooth. For example, a temperature sensor may send its measurement data to the device via Bluetooth.

[0540] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT. For example, the terminal sends room temperature data to the server as an HTTP request. The server's central control unit receives the data and converts it into a specified format. For example, the server converts the received JSON format data into its internal format.

[0541] The server then compares the received data with pre-defined operating conditions or standards. For example, the server compares the room temperature data with the set temperature. If the server detects an abnormality in the data, it executes a pre-defined protocol (e.g., alarm or device shutdown). For example, if the room temperature exceeds the set temperature, the server generates a command to turn on the air conditioner.

[0542] The server's central control unit generates the necessary control commands based on the data analysis results and sends them to the terminal. For example, the server generates a command to turn on the air conditioner and sends it to the terminal. The terminal then forwards the control command received from the server to the device, automatically adjusting the device's operation. A specific example is when the terminal receives a command to turn on the air conditioner and forwards it to the air conditioner to operate it.

[0543] The server also provides a web interface and app that allows users to check the current system status and any abnormal conditions. Through this, users can monitor the device status in real time and change settings as necessary. For example, a user may check the room temperature on a smartphone app and change the set temperature. The server then reflects the user's setting changes in real time on the device and affects the device's operation. When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[0544] Specific examples

[0545] Example 1: Automatic control of air conditioners

[0546] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device. Example: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[0547] 2. The device transfers the measurement results to the server's central control unit via an HTTP request. Example: The device sends room temperature data to the server.

[0548] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal. Example: The server generates an instruction to operate the air conditioner and sends it to the terminal.

[0549] 4. The terminal forwards the command received from the server to the air conditioner and turns it on. Example: The terminal receives an instruction to turn on the air conditioner, forwards it to the air conditioner, and turns it on.

[0550] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary. Example: The user checks the room temperature through the smartphone app and changes the set temperature.

[0551] Example 2: Preventive maintenance for industrial machinery

[0552] 1. The sensor monitors the operating status and vibration of the machine in real time and sends the data to the device. Example: A vibration sensor measures the vibration of the machine and sends it to the device via Wi-Fi.

[0553] 2. The device sends the acquired data to the server as an HTTP request. Example: The device sends vibration data to the server.

[0554] 3. If the vibration data exceeds a predetermined standard value, the server generates a warning and sends it to the device. Example: The server detects abnormal vibration, generates a warning, and sends it to the device.

[0555] 4. The terminal notifies the machine operator of a warning message and executes an automatic machine stop command if necessary. Example: The terminal notifies the operator of a warning and automatically stops the machine.

[0556] 5. User checks historical vibration data through the dashboard and schedules preventive maintenance. Example: User checks vibration data through the dashboard and schedules maintenance.

[0557] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[0558] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0559] Program processing steps

[0560] Step 1: Collect and transmit sensor data

[0561] Sensors measure device status data and environmental information (e.g., room temperature, humidity, vibration, etc.) in real time.

[0562] Input: The physical condition to be measured (room temperature, humidity, vibration, etc.).

[0563] Output: Measured data (e.g. room temperature 23°C, humidity 45%).

[0564] The sensor transmits the acquired data to the terminal using communication methods such as Wi-Fi or Bluetooth.

[0565] Input: Measured data.

[0566] Output: Data sent to the device.

[0567] Specific operation: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[0568] Step 2: Aggregating data into a central control unit

[0569] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT.

[0570] Input: Data received from the sensor.

[0571] Output: The data sent to the server.

[0572] Specific operation: The device sends room temperature data to the server as an HTTP request.

[0573] The server's central control unit receives the data and converts it into a specified format.

[0574] Input: Data received from the terminal.

[0575] Output: Data converted to internal format.

[0576] Specific operation: The server converts the received JSON format data into an internal format.

[0577] Step 3: Data analysis and condition comparison

[0578] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0579] Input: Data converted into internal format, pre-set operating conditions.

[0580] Output: Comparison result (whether the condition is met or not).

[0581] What happens: The server compares the room temperature data with the set temperature.

[0582] If the server detects an abnormality in the data, it executes a preset emergency response protocol.

[0583] Input: Comparison results, emergency response protocol.

[0584] Output: Execute emergency response.

[0585] Specific behavior: If the room temperature exceeds the set temperature, the server generates an alarm.

[0586] Step 4: Automatically adjust device behavior

[0587] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0588] Input: Data analysis results.

[0589] Output: Control instructions.

[0590] Specific operation: The server generates a command to turn on the air conditioner and sends it to the terminal.

[0591] The terminal transfers the control command received from the server to the device and automatically adjusts the operation of the device.

[0592] Input: Control command received from the server.

[0593] Output: The control instructions sent to the device.

[0594] Specific operation: The terminal receives the air conditioner operation command and forwards it to the air conditioner to operate it.

[0595] Step 5: Providing a User Interface

[0596] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0597] Input: Current and abnormal situation data.

[0598] Output: Information displayed in the user interface.

[0599] What it does: Provides a dashboard that can be accessed via a web browser.

[0600] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0601] Input: User monitoring and configuration change requests.

[0602] Output: Display of data and reflection of configuration changes.

[0603] Specific operation: The user checks the room temperature using a smartphone app and changes the set temperature.

[0604] The server reflects the setting changes made by the user on the terminal in real time, and reflects them in the operation of the device.

[0605] Input: User-initiated configuration changes.

[0606] Output: The device behavior with the configuration changes applied.

[0607] Specific operation: When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[0608] (Application example 1)

[0609] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0610] Conventional robot control systems in logistics centers have had the problem of requiring a lot of manual operation, making it difficult to improve efficiency. There was also a demand for a system that could grasp surrounding environmental information, such as temperature, humidity, and location data, in real time and automatically generate optimal routes and operational instructions. Furthermore, there was a lack of an interface that allowed users to check this information in real time and change settings.

[0611] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0612] In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to a terminal, means for the terminal to transfer the data to the server, means for the server to store the data in a database and analyze it, means for the server to generate control commands based on the results of the data analysis, means for the server to transmit the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device's operation, means for monitoring the device's location, package status, and surrounding environment, and generating optimal routes and operation instructions based on this data, and means for providing a user interface. This enables efficient control and automation of robots within a logistics center, and allows users to change settings and check the status in real time.

[0613] A "sensor" is a device that acquires device status data in real time and transmits that information to a terminal.

[0614] A "terminal" is a device that transfers data acquired from a sensor to a server and transfers control commands received from the server to the device.

[0615] A "server" is a device that stores data transferred from a terminal in a database and analyzes it. It also has the function of generating control commands based on the results of data analysis and sending them to the terminal.

[0616] A "database" is a system that stores data collected by a server and allows it to be searched and analyzed as needed.

[0617] A "control command" is a command that the server generates based on the results of data analysis to automatically adjust the operation of the device.

[0618] A "user interface" is an interface that allows users to check the current status and abnormal conditions of the system and change settings.

[0619] "Device" refers to a device to be controlled, and in this system includes a robot or the like.

[0620] "Environmental information" is data that indicates the surrounding conditions, such as temperature, humidity, and location data.

[0621] The "optimal route" is information indicating the most appropriate route for the device to operate efficiently.

[0622] An "operation instruction" is command information required for a device to perform a specific operation.

[0623] This invention relates to an efficient automatic control system for robots in a logistics center. This system is realized using sensors, terminals, a server, and a user interface.

[0624] System configuration

[0625] 1. Sensor

[0626] The sensors monitor the device's status data (temperature, humidity, location data) in real time and transmit the data to the terminal.

[0627] 2. Terminal

[0628] The terminal transfers data acquired from the sensor to the server, and also has the function of transferring control commands from the server to the device.

[0629] 3. Server

[0630] The server stores the data received from the terminal in a database, analyzes it, generates control commands based on the analysis results, and sends these control commands back to the terminal.

[0631] The server also provides a user interface that allows users to check the current status of the system and any abnormal conditions, and change settings as necessary.

[0632] Data processing and control instruction generation

[0633] The server takes in the received data in real time and analyzes it. This analysis uses a data analysis algorithm that uses a generative AI model. Based on the analysis results, optimal routes and operational instructions are generated, and these control commands are sent to the terminal. The terminal then forwards the control commands to the device, which automatically adjusts the device's operation.

[0634] User Interface

[0635] Users can monitor the system's operating status and detect abnormal conditions through a dedicated interface (smartphone, tablet, or AR goggles), and can also change settings as needed. Changes are immediately reflected on the server and applied to the device in real time.

[0636] Specific examples

[0637] For example, when a robot transports goods within a logistics center, sensors monitor the robot's position, the condition of the goods, and the surrounding temperature and humidity. This data is collected by a terminal and sent to a server. The server analyzes the received data and generates the optimal route and operating instructions. These control commands are sent to the robot via the terminal, allowing the robot to operate efficiently.

[0638] Example prompts for generative AI models

[0639] Train a model to generate optimal routes and operational instructions for robots in a distribution center. Input data includes temperature, humidity, location, and package condition. Optimize routes and handle abnormalities to ensure efficient robot operation.

[0640] Such systems improve the efficiency and safety of logistics centers and minimize manual operations.

[0641] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0642] Step 1:

[0643] Sensors collect real-time device status data (such as temperature, humidity, and location data). This data is measured by the device's sensors and initially obtained in the form of raw data, which is the input data.

[0644] Step 2:

[0645] The raw data acquired from the sensor is sent to the terminal via communication means such as Wi-Fi or Bluetooth. The terminal receives this raw data and temporarily stores it. The received data is the input, and the temporarily stored data is the output.

[0646] Step 3:

[0647] The device transfers the temporarily stored data to the server using communication protocols such as HTTP or MQTT, allowing the sensor data to reach the server in real time.

[0648] Step 4:

[0649] The server receives the data transferred from the device and stores it in a database. While doing so, the server converts the data into a format suitable for analysis. The received data is the input, and the stored data is the output.

[0650] Step 5:

[0651] The server analyzes the stored data using a data analysis algorithm that uses a generative AI model. The data analyzed includes temperature, humidity, location information, and the condition of the luggage, and the optimal route and operating instructions are generated as a result of the analysis.

[0652] Step 6:

[0653] Based on the analysis results, the server generates control commands. These control commands are routes and operational instructions for the robot to operate efficiently. Analysis data is the input, and control commands are the output.

[0654] Step 7:

[0655] The server sends the generated control command back to the terminal, which receives the control command and forwards it to the device, which then automatically adjusts the device.

[0656] Step 8:

[0657] The devices (robots, etc.) adjust their operations in accordance with the received control commands to perform optimal operations, thereby achieving efficient work within the logistics center.

[0658] Step 9:

[0659] Users can check the current status of the system and any abnormalities in real time through a dedicated user interface (smartphone, tablet, AR goggles, etc.), and can change settings as needed, which are immediately updated on the server.

[0660] Step 10:

[0661] The server reflects the user's changes to the settings, generates new control commands, and sends them to the devices via the terminal. This process allows further adjustments to be made, improving the efficiency of the entire system.

[0662] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0663] The present invention relates to an efficient automatic control system for devices that combines sensors, terminals, servers, emotion engines, and user interfaces. This system uses sensors to acquire device status data in real time and transmits the data to the terminal. The terminal then transfers the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and transmits them back to the terminal. The terminal then transfers the control commands to the device, automatically adjusting the device's operation.

[0664] By incorporating an emotion engine into this system, it becomes possible to recognize the user's emotions in real time and adjust the device's operation accordingly. The emotion engine analyzes the user's facial expressions and voice and sends the data to a server. The server receives the emotion data and adjusts the device's operation in real time based on the analysis results. This allows the user to experience a more appropriate and comfortable device operation.

[0665] Explanation of program processing

[0666] 1. Sensor data collection and transmission

[0667] The sensors measure the device's operating status and environmental information in real time and acquire the data. The sensors are set to periodically update the data and keep the information up to date.

[0668] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[0669] 2. Data collection in a central control unit

[0670] The sensor data received by the device is transferred to the server using HTTP or MQTT as the communication protocol.

[0671] The server's central control unit receives the data and converts it into a specified format.

[0672] 3. Data analysis and condition comparison

[0673] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0674] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[0675] 4. Automatically adjust device behavior

[0676] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0677] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[0678] 5. Providing a user interface

[0679] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0680] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0681] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[0682] 6. Emotion Engine Data Collection and Transmission

[0683] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and obtain the user's emotional data.

[0684] The emotion engine transmits the acquired emotion data to the server.

[0685] 7. Analysis and reflection of emotional data

[0686] The server analyzes the emotion data sent from the emotion engine in real time and determines the user's emotional state.

[0687] Based on the emotion analysis results, the server generates additional control instructions for adjusting the device's operation and sends them to the terminal.

[0688] The terminal transfers the received control command to the device and automatically adjusts the operation of the device.

[0689] Specific examples

[0690] Example 1: Automatic control of air conditioners

[0691] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[0692] 2. The terminal transfers the measurement results to the central control unit of the server.

[0693] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[0694] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[0695] 5. The emotion engine analyzes the user's facial expressions and voice, and if the user feels "hot," it sends a command to the server to automatically lower the set temperature.

[0696] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[0697] 7. The terminal forwards the received additional command to the air conditioner and changes the set temperature.

[0698] 8. The user checks the current room temperature and air conditioning settings through the smartphone app and further adjusts the set temperature if necessary.

[0699] Example 2: Preventive maintenance for industrial machinery

[0700] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[0701] 2. The device sends the acquired data to the server.

[0702] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[0703] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[0704] 5. The emotion engine analyzes the operator's stress level and, if stress is high, sends a command to the server to adjust the machine's operating speed to reduce the workload.

[0705] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[0706] 7. The terminal forwards the received additional instructions to the machine and adjusts the operating speed.

[0707] 8. Users can view vibration data and operator emotional state through a dashboard and schedule preventative maintenance.

[0708] In this way, the sensors, terminals, servers, emotion engines, and users work together to achieve efficient and automated device management and improved user comfort.

[0709] The processing flow will be explained below.

[0710] Step 1:

[0711] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[0712] Step 2:

[0713] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[0714] Step 3:

[0715] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[0716] Step 4:

[0717] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[0718] Step 5:

[0719] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[0720] Step 6:

[0721] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[0722] Step 7:

[0723] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[0724] Step 8:

[0725] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[0726] Step 9:

[0727] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0728] Step 10:

[0729] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[0730] Step 11:

[0731] When a user changes system settings through the interface, the server immediately reflects that information on the terminal and affects the device's operation.

[0732] Step 12:

[0733] The emotion engine analyzes the user's facial expressions and voice to obtain the user's emotional data in real time. The emotion engine collects data using the camera and microphone.

[0734] Step 13:

[0735] The emotion data acquired by the emotion engine is sent to the server using a commonly used communication protocol.

[0736] Step 14:

[0737] The server receives and analyzes the emotion data sent from the emotion engine. The server then integrates and analyzes the emotion data with other sensor data to determine the user's emotional state.

[0738] Step 15:

[0739] The server generates additional control commands to adjust the device's operation based on the emotion analysis results. For example, if the user feels "hot," it generates a command to automatically lower the set temperature.

[0740] Step 16:

[0741] The server sends the generated additional control command to the terminal, which receives the control command and checks its contents.

[0742] Step 17:

[0743] The terminal forwards the received additional control commands to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0744] Through the above processing steps, the server, terminal, user, and emotion engine work together to achieve efficient and automated device management and improved user comfort.

[0745] Example 2

[0746] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0747] Conventional device control systems provide functions for collecting and analyzing sensor data and controlling devices, but they lack the ability to adequately control devices in real time based on the user's emotional state. Furthermore, they lack the means for users to intuitively check the current system status and abnormalities in real time and change settings accordingly. This has hindered improvements in user comfort and effective device management.

[0748] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer data to the server, means for the server to store and analyze the data in a database, means for the server to generate control commands based on the data analysis results, means for transmitting the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device operation, means for an emotion engine to analyze the user's facial expressions and voice and transmit the data to the server, means for the server to analyze emotion data and adjust the device operation in real time, means for providing a user interface that allows the user to check the current system status and abnormal conditions, and means for reflecting user setting changes in real time and reflecting them in the device operation. This enables device control based on the user's emotional state and intuitive, real-time system management.

[0749] A "sensor" is a device that measures physical environmental information or the state of a device in real time.

[0750] A "terminal" is a relay device that receives sensor data and transfers it to a server.

[0751] "Server" is a central control unit that stores and analyzes received data and generates and sends control commands.

[0752] A "database" is a system connected to a server for storing and managing received data.

[0753] "Analysis" is the process of comparing received data with set conditions and standards and generating the necessary control commands.

[0754] A "control command" is a command generated by the server based on the analysis results, and is an instruction to adjust the operation of the device.

[0755] The "emotion engine" is a system that uses a camera and microphone to analyze the user's facial expressions and voice to obtain emotional data.

[0756] A "user interface" is an interactive means by which a user can check the current status and abnormal conditions of a system and operate it.

[0757] "Real-time" refers to responding immediately to ongoing events and data, and processing without delay.

[0758] "Device" refers to the equipment or devices that are the target of control by the system, including air conditioners and industrial machinery.

[0759] This invention is an automatic control system that combines sensors, terminals, a server, an emotion engine, and a user interface. This system uses the following hardware and software to efficiently and automatically collect, analyze, and control data.

[0760] Sensor data collection

[0761] The sensors measure device status data and environmental information in real time, such as temperature, humidity, vibration status, etc. The measured data is immediately sent to the device.

[0762] Sending data to the device

[0763] The terminal receives the data sent from the sensor. Data is transferred using wireless communication technologies such as Wi-Fi and Bluetooth. This terminal has a communication function to transfer the received data to the server.

[0764] Transfer of data to the server

[0765] The terminal transfers the acquired data to the server, using HTTP or MQTT as the communication protocol. The server receives the data and stores it in a database.

[0766] Data analysis

[0767] The server stores the received data in a database and then analyzes it using pre-defined conditions and criteria – for example, if the room temperature exceeds a certain threshold, a specific action can be taken.

[0768] Generate and send control commands

[0769] The server generates control commands based on the analysis results, and sends the generated control commands to the terminal. The terminal then forwards the received control commands to the device to adjust the device's operation.

[0770] Use of emotion engine

[0771] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to capture the user's emotional state. This emotional data is also sent to the server, which analyzes it and reflects it in the device's operation.

[0772] Providing a user interface

[0773] The server provides a web interface and a smartphone app that allows users to check the current status of the system and any abnormalities. Users can change device settings through the interface, and the changes are reflected in the system in real time.

[0774] Specific examples

[0775] For example, consider an automatic air conditioner control system. A sensor measures the room temperature and humidity and sends the data to a terminal. The terminal transfers the data to a server, which analyzes the data. If the room temperature exceeds the set temperature, the server generates a command to operate the air conditioner and sends it to the terminal. The terminal transfers the command to the air conditioner, which turns it on. The emotion engine also analyzes the user's facial expression indicating that it is "hot" and sends it to the server. Based on the analysis results, the server generates a command to lower the set temperature and sends it to the terminal. The terminal transfers the command to the air conditioner, which adjusts the set temperature.

[0776] Prompt Sentence Examples

[0777] Please explain the specific flow and operation of each processing step, from collecting sensor data to executing control commands and even real-time adjustments using the emotion engine. Please include specific examples and situations.

[0778] This system configuration allows the device's operation to be dynamically adjusted according to the user's environmental and emotional state, resulting in more comfortable and efficient control.

[0779] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0780] Step 1:

[0781] Sensor data collection and transmission

[0782] Sensors measure and capture device status data and environmental information (e.g., temperature, humidity, vibration) in real time. The input is the physical environmental data captured by the sensor. The output is the measurement data sent to the device.

[0783] Specific operation: For example, in an air conditioner control system, a sensor measures the room temperature as 25°C and the humidity as 60%. This data is updated every minute and sent to the terminal.

[0784] Step 2:

[0785] Sending data to the device

[0786] The terminal receives data sent from the sensor. The input is the measurement data sent from the sensor. The output is a data packet that is forwarded to the server.

[0787] Specific operation: The device receives data from the sensor such as "room temperature 25°C, humidity 60%" and sends this to the server using the Wi-Fi protocol.

[0788] Step 3:

[0789] Transferring data from the device to the server

[0790] The terminal transfers the acquired data to the server. HTTP or MQTT is used as the communication protocol. The input is the sensor data received by the terminal. The output is the digital data received by the server.

[0791] Specific operation: The data received by the terminal, "room temperature 25°C, humidity 60%" is sent to the server using the HTTP protocol.

[0792] Step 4:

[0793] Data storage and analysis on the server

[0794] The server stores the received data in a database and then analyzes it. The input is the device status data received by the server. The output is the analysis results and control commands generated based on them.

[0795] Specific operation: The server stores the data "room temperature 25°C, humidity 60%" in the database and performs a comparative analysis with the set standard (e.g., turn on the air conditioner if the room temperature exceeds 26°C).

[0796] Step 5:

[0797] Generation of control commands and transmission from the server to the terminal

[0798] The server generates control commands based on the data analysis results and sends them to the terminal. The input is the analysis results. The output is the control commands received by the terminal.

[0799] Specific operation: If the result shows that the room temperature exceeds 26°C, the server generates a command to turn on the air conditioner and sends it to the terminal.

[0800] Step 6:

[0801] Transfer of control commands from terminal to device

[0802] The terminal transfers the received control commands to the device and adjusts the device's operation. The input is the control command from the server. The output is the control command passed to the device.

[0803] Specific operation: The terminal receives the command "Turn on the air conditioner" from the server and forwards it to the air conditioner, which turns on the air conditioner.

[0804] Step 7:

[0805] Providing a user interface

[0806] The server provides a web interface and a smartphone app that allows users to check the current status and abnormal conditions of the system. The input is the latest device status data stored on the server. The output is the status information displayed on the user's screen.

[0807] Specific operation: The user can check on the smartphone app that the current room temperature is 25°C and that the air conditioner is on.

[0808] Step 8:

[0809] Emotion engine data collection and transmission

[0810] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and sends the emotion data to the server. The input is the user's facial expressions and voice. The output is the emotion data sent to the server.

[0811] Specific operation: The emotion engine captures the user's facial expression that indicates they feel "hot" and sends that data to the server.

[0812] Step 9:

[0813] Emotion data analysis on the server and reflection on the device

[0814] The server analyzes the emotion data sent from the emotion engine, generates additional control commands to adjust the device's operation based on the user's emotional state, and sends them to the terminal. The input is the emotion data from the emotion engine, and the output is the control command passed to the device.

[0815] Specific operation: The server analyzes the emotion data, detects that the user feels "hot," generates a command to lower the air conditioner's temperature setting, and sends it to the device. The device then forwards the received command to the air conditioner, which then lowers the temperature setting.

[0816] (Application example 2)

[0817] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0818] Existing security systems are required not only to detect anomalies but also to immediately take appropriate action when an anomaly occurs. It is also important to understand the emotions and stress levels of security personnel and take appropriate countermeasures, but no system exists that can do this in real time. The purpose of this invention is to realize more effective security measures by combining the collection and analysis of real-time data by sensors and the analysis of users' emotional states using an emotion engine.

[0819] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer the data to the server, means for the server to store and analyze the data in a database, means for the server to generate a control command based on the data analysis results, means for transmitting the generated control command to the terminal, means for the terminal to transfer the control command to the device and automatically adjust the device's operation, means for the emotion engine to acquire user emotion data using a camera and microphone and transmit it to the server, means for the server to analyze the emotion data and generate additional control commands based on the analysis results, and means for transmitting the generated additional control commands to the terminal, and means for the terminal to transfer the control command to the device and automatically adjust the device's operation. This enables the security system to analyze environmental data and user emotion data in real time and automatically take appropriate measures.

[0820] A "sensor" is a device that measures the state of the physical environment or a device and acquires the data.

[0821] A "terminal" is a device that receives data obtained from a sensor and transfers the data to a server.

[0822] A "server" is a computer system that stores received data in a database, analyzes it, and generates control commands.

[0823] A "database" is a system for managing and storing collected data.

[0824] "Analysis" is the process of analyzing collected data and identifying anomalies and patterns.

[0825] A "control command" is instruction information for adjusting the operation of a device based on the analysis results.

[0826] The "emotion engine" is a system that analyzes the user's emotional state from their facial expressions and voice and generates that data.

[0827] A "user interface" is a tool that provides users with the current status and abnormal conditions of the system and allows users to operate and monitor the system.

[0828] A "camera" is a device that collects video data.

[0829] A "microphone" is a device that collects audio data.

[0830] "Real time" means that data acquisition and processing occurs in real time, i.e., immediately, without delay.

[0831] This system combines sensors, terminals, a server, an emotion engine, and a user interface to automatically control the operation of a security robot in real time. Specific embodiments of the present invention will be described below with reference to the following examples.

[0832] Hardware and software used

[0833] 1. Security robot body: This is the central device of the system.

[0834] 2. Sensors: Temperature sensors, motion sensors, cameras, etc. are used to collect physical data about the environment and human detection data.

[0835] 3. Communication module: Sends and receives data using Wi-Fi or Bluetooth.

[0836] 4. Microphone: Collects audio data and uses it for sentiment analysis.

[0837] 5. Emotion engine: Software that analyzes the user's facial expressions and voice and generates emotional data.

[0838] 6. Device control unit (central control unit): Software in the server that analyzes data and generates control commands.

[0839] 7. Database: A system for storing and managing collected data.

[0840] 8. User Interface: An app or web interface that displays the current system status and abnormal conditions, and allows users to monitor and operate the system.

[0841] Acquiring and Sending Data

[0842] First, the sensors measure environmental data (temperature, movement, video, etc.) in real time and send the data to the terminal. The terminal converts the received data into a specific format and sends it to the server via the communication module. The server stores this data in a database and begins analysis.

[0843] Data analysis and control instruction generation

[0844] The server analyzes the received data and determines whether there are any abnormalities. If an abnormality is detected, the server generates appropriate control commands (e.g., activate an alarm or start recording video) and sends them to the terminal. The terminal then forwards these control commands to the security robot, automatically adjusting the device's operation.

[0845] Operating the Emotion Engine

[0846] The emotion engine uses the security robot's on-board camera and microphone to analyze the facial expressions and voice of the person it is facing in real time. The resulting emotion data is sent to a server, which then analyzes the data to determine the person's emotional state. Based on the results of this analysis, additional control commands (e.g., switching the robot to alert mode or notifying an administrator) are generated and sent to the security robot via a terminal.

[0847] Providing a user interface

[0848] Users can monitor and operate the system through a smartphone app or web interface, which allows them to check the current system status, abnormal conditions, and sentiment analysis results in real time, and also allows them to change settings and manually control the system as needed.

[0849] Specific examples

[0850] Security robot operation example

[0851] When a sensor detects environmental data (for example, an abnormal rise in temperature), it sends that data to the terminal. The terminal then sends the data to the server, which analyzes the data and checks for abnormalities. If an abnormality is detected, the server generates a control command to sound an alarm and sends it to the terminal. The terminal then forwards the control command to the robot, which then sounds the alarm.

[0852] The emotion engine also analyzes the facial expressions of people it encounters, and if it detects nervousness or suspicious behavior, it sends the emotion data to the server, which then analyzes the data, generates a control command to instruct the robot to switch to alert mode, and sends the command to the robot via the terminal.

[0853] Prompt Sentence Examples

[0854] "Please tell me how to program a system that automatically processes data obtained from sensors and adapts the behavior of a security robot. The sensors will use temperature, movement, and cameras, and will include a process of analyzing voice and facial expressions with an emotion engine and sending the results to a server. The program should have the robot sound an alarm, start recording, and perform other operations based on commands from the server."

[0855] In this way, this system can achieve efficient monitoring and response in a security environment.

[0856] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0857] Step 1:

[0858] The terminal collects environmental data (temperature, movement, video, etc.) obtained from sensors. The input is real-time data from the sensors, and the output is data in a unified format. Specifically, the terminal receives signals from each sensor and processes them to convert them into a data format.

[0859] Step 2:

[0860] The terminal sends the unified data to the server. The input is the unified data processed in step 1, and the output is the data transferred to the server via the network. The terminal uses Wi-Fi or Bluetooth to send data using HTTP or MQTT protocols.

[0861] Step 3:

[0862] The server stores the received data in a database. The input is the environmental data sent from the device, and the output is the stored data written to the database. The server stores the data in a structured manner using an appropriate database management system (e.g., RDBMS or NoSQL).

[0863] Step 4:

[0864] The server analyzes the stored data and detects anomalies. The input is environmental data retrieved from the database, and the output is the analysis results. The server applies machine learning algorithms and rule-based analysis methods to detect anomalies.

[0865] Step 5:

[0866] The server generates a control command when an abnormality is detected. The input is the analysis result from step 4, and the output is the generated control command. Specifically, based on the analysis result, it creates commands such as sounding an alarm or starting recording.

[0867] Step 6:

[0868] The server sends the generated control command to the terminal. Its input is the generated control command, and its output is the control command sent to the terminal. The server sends the command to the terminal in an appropriate format and it is reflected quickly.

[0869] Step 7:

[0870] The terminal transfers the received control commands to the security robot and automatically adjusts the robot's behavior. The input is the control command sent from the server, and the output is the executed robot behavior. The terminal sends instructions to the robot's control unit to perform specific actions.

[0871] Step 8:

[0872] The emotion engine uses a camera and microphone to capture the user's emotional data and transmits it to the server. Its input is real-time data from the camera and microphone, and its output is emotional data. The emotion engine tags the user's emotional state using image analysis and audio analysis techniques.

[0873] Step 9:

[0874] The server analyzes the emotion data and generates additional control commands based on the analysis results. The input is the emotion data, and the output is the generated additional control commands. The server evaluates the analysis results and outputs appropriate additional measures as commands.

[0875] Step 10:

[0876] The server sends the generated additional control command to the terminal, and the terminal transfers the control command to the security robot to automatically adjust its behavior. The input is the additional control command, and the output is the executed robot behavior. Specifically, the robot performs actions such as switching to alert mode or notifying an administrator.

[0877] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0878] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0879] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0880] [Third embodiment]

[0881] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0882] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0883] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0884] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0885] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0886] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0887] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0888] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0889] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0890] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0891] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0892] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0893] The present invention relates to a system for achieving efficient automatic control of devices using sensors, terminals, a server, and a user interface. In this system, sensors acquire device status data in real time and send the data to the terminal. The terminal then forwards the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and sends the control commands back to the terminal. The terminal then forwards the control commands to the device, automatically adjusting the device's operation. This process minimizes manual operation, achieving efficient device operation and energy savings.

[0894] The system also provides a user interface that allows users to check the current status and abnormal conditions and take appropriate action, allowing users to change system settings in real time.

[0895] Explanation of program processing

[0896] 1. Sensor data collection and transmission

[0897] The sensors measure the device's operating status and environmental information in real time and acquire the data.

[0898] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[0899] 2. Data collection in a central control unit

[0900] The sensor data received by the device is transferred to the server, using protocols such as HTTP and MQTT for communication.

[0901] The server's central control unit receives the data and converts it into a specified format.

[0902] 3. Data analysis and condition comparison

[0903] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[0904] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[0905] 4. Automatically adjust device behavior

[0906] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[0907] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[0908] 5. Providing a user interface

[0909] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[0910] Through the interface, users can monitor the device's status in real time and change settings as needed.

[0911] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[0912] Specific examples

[0913] Example 1: Automatic control of air conditioners

[0914] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[0915] 2. The terminal transfers the measurement results to the central control unit of the server.

[0916] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[0917] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[0918] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary.

[0919] Example 2: Preventive maintenance for industrial machinery

[0920] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[0921] 2. The device sends the acquired data to the server.

[0922] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[0923] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[0924] 5. Users can view historical vibration data through a dashboard and schedule preventative maintenance.

[0925] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[0926] The processing flow will be explained below.

[0927] Step 1:

[0928] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[0929] Step 2:

[0930] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[0931] Step 3:

[0932] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[0933] Step 4:

[0934] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[0935] Step 5:

[0936] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[0937] Step 6:

[0938] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[0939] Step 7:

[0940] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[0941] Step 8:

[0942] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[0943] Step 9:

[0944] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[0945] Step 10:

[0946] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[0947] Step 11:

[0948] When a user changes system settings through the interface, the server immediately updates the device and changes its behavior, allowing for real-time system-wide adjustments.

[0949] Through the above processing steps, the server, terminal, and user work together to achieve efficient device management.

[0950] Example 1

[0951] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0952] Efficient data collection and analysis, as well as the generation and execution of appropriate control commands, are important for the automatic control of devices. However, in conventional systems, these processes are often performed manually, resulting in low efficiency. Furthermore, they often lack a real-time interface that allows users to understand the device status and take appropriate action. Furthermore, it is difficult to respond quickly when an abnormality is detected, which can lead to a decrease in the reliability of the entire system.

[0953] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0954] In this invention, the server includes a means for monitoring device status data acquired from sensors in real time, a means for transmitting the acquired data to the terminal, a means for the terminal to transfer the data to the server, a means for the server to store and analyze the data in a database, a means for the server to generate control commands based on the data analysis results, a means for transmitting the generated control commands to the terminal, and a means for the terminal to transfer the control commands to the device and automatically adjust the device's operation. This enables efficient automatic control of the device and energy conservation. Furthermore, the system includes a means for providing a user interface that allows the user to check the current system status and abnormal conditions, and a means for the server to reflect user setting changes in real time and change the device's operation, allowing the user to appropriately monitor and control the system. Furthermore, the system includes a means for transmitting data acquired by the sensors to the terminal using a communication method such as Wi-Fi or Bluetooth, and a means for the terminal to transfer the sensor data received by the terminal to the server using a protocol such as HTTP or MQTT, thereby achieving high-speed and reliable data communication and enabling rapid response to abnormalities.

[0955] A "sensor" is a device that acquires device status data and environmental information in real time.

[0956] A "terminal" is a device that receives data acquired from a sensor and transfers it to a server.

[0957] A "server" is a computer system having a central control unit for analyzing received data and generating and sending control instructions to the terminals.

[0958] A "database" is an information management system that stores and analyzes data collected by a server.

[0959] A "control command" is an instruction generated by the server based on the results of data analysis to adjust the operation of the device.

[0960] A "user interface" is an operation screen that allows the user to check the current state of the system and any abnormal conditions, and to change settings.

[0961] "Wi-Fi" is a communication method for transferring data using wireless communication technology.

[0962] "Bluetooth" is a communication method for transferring data using short-range wireless communication technology.

[0963] "HTTP" is an abbreviation for Hypertext Transfer Protocol, a protocol for transferring data between a server and a terminal.

[0964] "MQTT" stands for Message Queuing Telemetry Transport and is a lightweight communication protocol for transferring data between servers and terminals.

[0965] "Real-time" refers to the ability to process and communicate data almost instantly.

[0966] The present invention relates to a system for realizing efficient automatic control of devices using sensors, terminals, a server, and a user interface. The system functions as follows.

[0967] First, a sensor measures the device's operating status and environmental information in real time and acquires that data. For example, a temperature sensor measures the room temperature every minute. Next, the sensor sends the acquired data to the device using a communication method such as Wi-Fi or Bluetooth. For example, a temperature sensor may send its measurement data to the device via Bluetooth.

[0968] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT. For example, the terminal sends room temperature data to the server as an HTTP request. The server's central control unit receives the data and converts it into a specified format. For example, the server converts the received JSON format data into its internal format.

[0969] The server then compares the received data with pre-defined operating conditions or standards. For example, the server compares the room temperature data with the set temperature. If the server detects an abnormality in the data, it executes a pre-defined protocol (e.g., alarm or device shutdown). For example, if the room temperature exceeds the set temperature, the server generates a command to turn on the air conditioner.

[0970] The server's central control unit generates the necessary control commands based on the data analysis results and sends them to the terminal. For example, the server generates a command to turn on the air conditioner and sends it to the terminal. The terminal then forwards the control command received from the server to the device, automatically adjusting the device's operation. A specific example is when the terminal receives a command to turn on the air conditioner and forwards it to the air conditioner to operate it.

[0971] The server also provides a web interface and app that allows users to check the current system status and any abnormal conditions. Through this, users can monitor the device status in real time and change settings as necessary. For example, a user may check the room temperature on a smartphone app and change the set temperature. The server then reflects the user's setting changes in real time on the device and affects the device's operation. When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[0972] Specific examples

[0973] Example 1: Automatic control of air conditioners

[0974] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device. Example: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[0975] 2. The device transfers the measurement results to the server's central control unit via an HTTP request. Example: The device sends room temperature data to the server.

[0976] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal. Example: The server generates an instruction to operate the air conditioner and sends it to the terminal.

[0977] 4. The terminal forwards the command received from the server to the air conditioner and turns it on. Example: The terminal receives an instruction to turn on the air conditioner, forwards it to the air conditioner, and turns it on.

[0978] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary. Example: The user checks the room temperature through the smartphone app and changes the set temperature.

[0979] Example 2: Preventive maintenance for industrial machinery

[0980] 1. The sensor monitors the operating status and vibration of the machine in real time and sends the data to the device. Example: A vibration sensor measures the vibration of the machine and sends it to the device via Wi-Fi.

[0981] 2. The device sends the acquired data to the server as an HTTP request. Example: The device sends vibration data to the server.

[0982] 3. If the vibration data exceeds a predetermined standard value, the server generates a warning and sends it to the device. Example: The server detects abnormal vibration, generates a warning, and sends it to the device.

[0983] 4. The terminal notifies the machine operator of a warning message and executes an automatic machine stop command if necessary. Example: The terminal notifies the operator of a warning and automatically stops the machine.

[0984] 5. User checks historical vibration data through the dashboard and schedules preventive maintenance. Example: User checks vibration data through the dashboard and schedules maintenance.

[0985] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[0986] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0987] Program processing steps

[0988] Step 1: Collect and transmit sensor data

[0989] Sensors measure device status data and environmental information (e.g., room temperature, humidity, vibration, etc.) in real time.

[0990] Input: The physical condition to be measured (room temperature, humidity, vibration, etc.).

[0991] Output: Measured data (e.g. room temperature 23°C, humidity 45%).

[0992] The sensor transmits the acquired data to the terminal using communication methods such as Wi-Fi or Bluetooth.

[0993] Input: Measured data.

[0994] Output: Data sent to the device.

[0995] Specific operation: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[0996] Step 2: Aggregating data into a central control unit

[0997] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT.

[0998] Input: Data received from the sensor.

[0999] Output: The data sent to the server.

[1000] Specific operation: The device sends room temperature data to the server as an HTTP request.

[1001] The server's central control unit receives the data and converts it into a specified format.

[1002] Input: Data received from the terminal.

[1003] Output: Data converted to internal format.

[1004] Specific operation: The server converts the received JSON format data into an internal format.

[1005] Step 3: Data analysis and condition comparison

[1006] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[1007] Input: Data converted into internal format, pre-set operating conditions.

[1008] Output: Comparison result (whether the condition is met or not).

[1009] What happens: The server compares the room temperature data with the set temperature.

[1010] If the server detects an abnormality in the data, it executes a preset emergency response protocol.

[1011] Input: Comparison results, emergency response protocol.

[1012] Output: Execute emergency response.

[1013] Specific behavior: If the room temperature exceeds the set temperature, the server generates an alarm.

[1014] Step 4: Automatically adjust device behavior

[1015] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[1016] Input: Data analysis results.

[1017] Output: Control instructions.

[1018] Specific operation: The server generates a command to turn on the air conditioner and sends it to the terminal.

[1019] The terminal transfers the control command received from the server to the device and automatically adjusts the operation of the device.

[1020] Input: Control command received from the server.

[1021] Output: The control instructions sent to the device.

[1022] Specific operation: The terminal receives the air conditioner operation command and forwards it to the air conditioner to operate it.

[1023] Step 5: Providing a User Interface

[1024] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[1025] Input: Current and abnormal situation data.

[1026] Output: Information displayed in the user interface.

[1027] What it does: Provides a dashboard that can be accessed via a web browser.

[1028] Through the interface, users can monitor the device's status in real time and change settings as needed.

[1029] Input: User monitoring and configuration change requests.

[1030] Output: Display of data and reflection of configuration changes.

[1031] Specific operation: The user checks the room temperature using a smartphone app and changes the set temperature.

[1032] The server reflects the setting changes made by the user on the terminal in real time, and reflects them in the operation of the device.

[1033] Input: User-initiated configuration changes.

[1034] Output: The device behavior with the configuration changes applied.

[1035] Specific operation: When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[1036] (Application example 1)

[1037] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1038] Conventional robot control systems in logistics centers have had the problem of requiring a lot of manual operation, making it difficult to improve efficiency. There was also a demand for a system that could grasp surrounding environmental information, such as temperature, humidity, and location data, in real time and automatically generate optimal routes and operational instructions. Furthermore, there was a lack of an interface that allowed users to check this information in real time and change settings.

[1039] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1040] In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to a terminal, means for the terminal to transfer the data to the server, means for the server to store the data in a database and analyze it, means for the server to generate control commands based on the results of the data analysis, means for the server to transmit the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device's operation, means for monitoring the device's location, package status, and surrounding environment, and generating optimal routes and operation instructions based on this data, and means for providing a user interface. This enables efficient control and automation of robots within a logistics center, and allows users to change settings and check the status in real time.

[1041] A "sensor" is a device that acquires device status data in real time and transmits that information to a terminal.

[1042] A "terminal" is a device that transfers data acquired from a sensor to a server and transfers control commands received from the server to the device.

[1043] A "server" is a device that stores data transferred from a terminal in a database and analyzes it. It also has the function of generating control commands based on the results of data analysis and sending them to the terminal.

[1044] A "database" is a system that stores data collected by a server and allows it to be searched and analyzed as needed.

[1045] A "control command" is a command that the server generates based on the results of data analysis to automatically adjust the operation of the device.

[1046] A "user interface" is an interface that allows users to check the current status and abnormal conditions of the system and change settings.

[1047] "Device" refers to a device to be controlled, and in this system includes a robot or the like.

[1048] "Environmental information" is data that indicates the surrounding conditions, such as temperature, humidity, and location data.

[1049] The "optimal route" is information indicating the most appropriate route for the device to operate efficiently.

[1050] An "operation instruction" is command information required for a device to perform a specific operation.

[1051] This invention relates to an efficient automatic control system for robots in a logistics center. This system is realized using sensors, terminals, a server, and a user interface.

[1052] System configuration

[1053] 1. Sensor

[1054] The sensors monitor the device's status data (temperature, humidity, location data) in real time and transmit the data to the terminal.

[1055] 2. Terminal

[1056] The terminal transfers data acquired from the sensor to the server, and also has the function of transferring control commands from the server to the device.

[1057] 3. Server

[1058] The server stores the data received from the terminal in a database, analyzes it, generates control commands based on the analysis results, and sends these control commands back to the terminal.

[1059] The server also provides a user interface that allows users to check the current status of the system and any abnormal conditions, and change settings as necessary.

[1060] Data processing and control instruction generation

[1061] The server takes in the received data in real time and analyzes it. This analysis uses a data analysis algorithm that uses a generative AI model. Based on the analysis results, optimal routes and operational instructions are generated, and these control commands are sent to the terminal. The terminal then forwards the control commands to the device, which automatically adjusts the device's operation.

[1062] User Interface

[1063] Users can monitor the system's operating status and detect abnormal conditions through a dedicated interface (smartphone, tablet, or AR goggles), and can also change settings as needed. Changes are immediately reflected on the server and applied to the device in real time.

[1064] Specific examples

[1065] For example, when a robot transports goods within a logistics center, sensors monitor the robot's position, the condition of the goods, and the surrounding temperature and humidity. This data is collected by a terminal and sent to a server. The server analyzes the received data and generates the optimal route and operating instructions. These control commands are sent to the robot via the terminal, allowing the robot to operate efficiently.

[1066] Example prompts for generative AI models

[1067] Train a model to generate optimal routes and operational instructions for robots in a distribution center. Input data includes temperature, humidity, location, and package condition. Optimize routes and handle abnormalities to ensure efficient robot operation.

[1068] Such systems improve the efficiency and safety of logistics centers and minimize manual operations.

[1069] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1070] Step 1:

[1071] Sensors collect real-time device status data (such as temperature, humidity, and location data). This data is measured by the device's sensors and initially obtained in the form of raw data, which is the input data.

[1072] Step 2:

[1073] The raw data acquired from the sensor is sent to the terminal via communication means such as Wi-Fi or Bluetooth. The terminal receives this raw data and temporarily stores it. The received data is the input, and the temporarily stored data is the output.

[1074] Step 3:

[1075] The device transfers the temporarily stored data to the server using communication protocols such as HTTP or MQTT, allowing the sensor data to reach the server in real time.

[1076] Step 4:

[1077] The server receives the data transferred from the device and stores it in a database. While doing so, the server converts the data into a format suitable for analysis. The received data is the input, and the stored data is the output.

[1078] Step 5:

[1079] The server analyzes the stored data using a data analysis algorithm that uses a generative AI model. The data analyzed includes temperature, humidity, location information, and the condition of the luggage, and the optimal route and operating instructions are generated as a result of the analysis.

[1080] Step 6:

[1081] Based on the analysis results, the server generates control commands. These control commands are routes and operational instructions for the robot to operate efficiently. Analysis data is the input, and control commands are the output.

[1082] Step 7:

[1083] The server sends the generated control command back to the terminal, which receives the control command and forwards it to the device, which then automatically adjusts the device.

[1084] Step 8:

[1085] The devices (robots, etc.) adjust their operations in accordance with the received control commands to perform optimal operations, thereby achieving efficient work within the logistics center.

[1086] Step 9:

[1087] Users can check the current status of the system and any abnormalities in real time through a dedicated user interface (smartphone, tablet, AR goggles, etc.), and can change settings as needed, which are immediately updated on the server.

[1088] Step 10:

[1089] The server reflects the user's changes to the settings, generates new control commands, and sends them to the devices via the terminal. This process allows further adjustments to be made, improving the efficiency of the entire system.

[1090] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1091] The present invention relates to an efficient automatic control system for devices that combines sensors, terminals, servers, emotion engines, and user interfaces. This system uses sensors to acquire device status data in real time and transmits the data to the terminal. The terminal then transfers the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and transmits them back to the terminal. The terminal then transfers the control commands to the device, automatically adjusting the device's operation.

[1092] By incorporating an emotion engine into this system, it becomes possible to recognize the user's emotions in real time and adjust the device's operation accordingly. The emotion engine analyzes the user's facial expressions and voice and sends the data to a server. The server receives the emotion data and adjusts the device's operation in real time based on the analysis results. This allows the user to experience a more appropriate and comfortable device operation.

[1093] Explanation of program processing

[1094] 1. Sensor data collection and transmission

[1095] The sensors measure the device's operating status and environmental information in real time and acquire the data. The sensors are set to periodically update the data and keep the information up to date.

[1096] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[1097] 2. Data collection in a central control unit

[1098] The sensor data received by the device is transferred to the server using HTTP or MQTT as the communication protocol.

[1099] The server's central control unit receives the data and converts it into a specified format.

[1100] 3. Data analysis and condition comparison

[1101] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[1102] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[1103] 4. Automatically adjust device behavior

[1104] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[1105] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[1106] 5. Providing a user interface

[1107] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[1108] Through the interface, users can monitor the device's status in real time and change settings as needed.

[1109] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[1110] 6. Emotion Engine Data Collection and Transmission

[1111] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and obtain the user's emotional data.

[1112] The emotion engine transmits the acquired emotion data to the server.

[1113] 7. Analysis and reflection of emotional data

[1114] The server analyzes the emotion data sent from the emotion engine in real time and determines the user's emotional state.

[1115] Based on the emotion analysis results, the server generates additional control instructions for adjusting the device's operation and sends them to the terminal.

[1116] The terminal transfers the received control command to the device and automatically adjusts the operation of the device.

[1117] Specific examples

[1118] Example 1: Automatic control of air conditioners

[1119] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[1120] 2. The terminal transfers the measurement results to the central control unit of the server.

[1121] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[1122] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[1123] 5. The emotion engine analyzes the user's facial expressions and voice, and if the user feels "hot," it sends a command to the server to automatically lower the set temperature.

[1124] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[1125] 7. The terminal forwards the received additional command to the air conditioner and changes the set temperature.

[1126] 8. The user checks the current room temperature and air conditioning settings through the smartphone app and further adjusts the set temperature if necessary.

[1127] Example 2: Preventive maintenance for industrial machinery

[1128] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[1129] 2. The device sends the acquired data to the server.

[1130] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[1131] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[1132] 5. The emotion engine analyzes the operator's stress level and, if stress is high, sends a command to the server to adjust the machine's operating speed to reduce the workload.

[1133] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[1134] 7. The terminal forwards the received additional instructions to the machine and adjusts the operating speed.

[1135] 8. Users can view vibration data and operator emotional state through a dashboard and schedule preventative maintenance.

[1136] In this way, the sensors, terminals, servers, emotion engines, and users work together to achieve efficient and automated device management and improved user comfort.

[1137] The processing flow will be explained below.

[1138] Step 1:

[1139] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[1140] Step 2:

[1141] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[1142] Step 3:

[1143] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[1144] Step 4:

[1145] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[1146] Step 5:

[1147] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[1148] Step 6:

[1149] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[1150] Step 7:

[1151] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[1152] Step 8:

[1153] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[1154] Step 9:

[1155] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[1156] Step 10:

[1157] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[1158] Step 11:

[1159] When a user changes system settings through the interface, the server immediately reflects that information on the terminal and affects the device's operation.

[1160] Step 12:

[1161] The emotion engine analyzes the user's facial expressions and voice to obtain the user's emotional data in real time. The emotion engine collects data using the camera and microphone.

[1162] Step 13:

[1163] The emotion data acquired by the emotion engine is sent to the server using a commonly used communication protocol.

[1164] Step 14:

[1165] The server receives and analyzes the emotion data sent from the emotion engine. The server then integrates and analyzes the emotion data with other sensor data to determine the user's emotional state.

[1166] Step 15:

[1167] The server generates additional control commands to adjust the device's operation based on the emotion analysis results. For example, if the user feels "hot," it generates a command to automatically lower the set temperature.

[1168] Step 16:

[1169] The server sends the generated additional control command to the terminal, which receives the control command and checks its contents.

[1170] Step 17:

[1171] The terminal forwards the received additional control commands to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[1172] Through the above processing steps, the server, terminal, user, and emotion engine work together to achieve efficient and automated device management and improved user comfort.

[1173] Example 2

[1174] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1175] Conventional device control systems provide functions for collecting and analyzing sensor data and controlling devices, but they lack the ability to adequately control devices in real time based on the user's emotional state. Furthermore, they lack the means for users to intuitively check the current system status and abnormalities in real time and change settings accordingly. This has hindered improvements in user comfort and effective device management.

[1176] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer data to the server, means for the server to store and analyze the data in a database, means for the server to generate control commands based on the data analysis results, means for transmitting the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device operation, means for an emotion engine to analyze the user's facial expressions and voice and transmit the data to the server, means for the server to analyze emotion data and adjust the device operation in real time, means for providing a user interface that allows the user to check the current system status and abnormal conditions, and means for reflecting user setting changes in real time and reflecting them in the device operation. This enables device control based on the user's emotional state and intuitive, real-time system management.

[1177] A "sensor" is a device that measures physical environmental information or the state of a device in real time.

[1178] A "terminal" is a relay device that receives sensor data and transfers it to a server.

[1179] "Server" is a central control unit that stores and analyzes received data and generates and sends control commands.

[1180] A "database" is a system connected to a server for storing and managing received data.

[1181] "Analysis" is the process of comparing received data with set conditions and standards and generating the necessary control commands.

[1182] A "control command" is a command generated by the server based on the analysis results, and is an instruction to adjust the operation of the device.

[1183] The "emotion engine" is a system that uses a camera and microphone to analyze the user's facial expressions and voice to obtain emotional data.

[1184] A "user interface" is an interactive means by which a user can check the current status and abnormal conditions of a system and operate it.

[1185] "Real-time" refers to responding immediately to ongoing events and data, and processing without delay.

[1186] "Device" refers to the equipment or devices that are the target of control by the system, including air conditioners and industrial machinery.

[1187] This invention is an automatic control system that combines sensors, terminals, a server, an emotion engine, and a user interface. This system uses the following hardware and software to efficiently and automatically collect, analyze, and control data.

[1188] Sensor data collection

[1189] The sensors measure device status data and environmental information in real time, such as temperature, humidity, vibration status, etc. The measured data is immediately sent to the device.

[1190] Sending data to the device

[1191] The terminal receives the data sent from the sensor. Data is transferred using wireless communication technologies such as Wi-Fi and Bluetooth. This terminal has a communication function to transfer the received data to the server.

[1192] Transfer of data to the server

[1193] The terminal transfers the acquired data to the server, using HTTP or MQTT as the communication protocol. The server receives the data and stores it in a database.

[1194] Data analysis

[1195] The server stores the received data in a database and then analyzes it using pre-defined conditions and criteria – for example, if the room temperature exceeds a certain threshold, a specific action can be taken.

[1196] Generate and send control commands

[1197] The server generates control commands based on the analysis results, and sends the generated control commands to the terminal. The terminal then forwards the received control commands to the device to adjust the device's operation.

[1198] Use of emotion engine

[1199] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to capture the user's emotional state. This emotional data is also sent to the server, which analyzes it and reflects it in the device's operation.

[1200] Providing a user interface

[1201] The server provides a web interface and a smartphone app that allows users to check the current status of the system and any abnormalities. Users can change device settings through the interface, and the changes are reflected in the system in real time.

[1202] Specific examples

[1203] For example, consider an automatic air conditioner control system. A sensor measures the room temperature and humidity and sends the data to a terminal. The terminal transfers the data to a server, which analyzes the data. If the room temperature exceeds the set temperature, the server generates a command to operate the air conditioner and sends it to the terminal. The terminal transfers the command to the air conditioner, which turns it on. The emotion engine also analyzes the user's facial expression indicating that it is "hot" and sends it to the server. Based on the analysis results, the server generates a command to lower the set temperature and sends it to the terminal. The terminal transfers the command to the air conditioner, which adjusts the set temperature.

[1204] Prompt Sentence Examples

[1205] Please explain the specific flow and operation of each processing step, from collecting sensor data to executing control commands and even real-time adjustments using the emotion engine. Please include specific examples and situations.

[1206] This system configuration allows the device's operation to be dynamically adjusted according to the user's environmental and emotional state, resulting in more comfortable and efficient control.

[1207] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1208] Step 1:

[1209] Sensor data collection and transmission

[1210] Sensors measure and capture device status data and environmental information (e.g., temperature, humidity, vibration) in real time. The input is the physical environmental data captured by the sensor. The output is the measurement data sent to the device.

[1211] Specific operation: For example, in an air conditioner control system, a sensor measures the room temperature as 25°C and the humidity as 60%. This data is updated every minute and sent to the terminal.

[1212] Step 2:

[1213] Sending data to the device

[1214] The terminal receives data sent from the sensor. The input is the measurement data sent from the sensor. The output is a data packet that is forwarded to the server.

[1215] Specific operation: The device receives data from the sensor such as "room temperature 25°C, humidity 60%" and sends this to the server using the Wi-Fi protocol.

[1216] Step 3:

[1217] Transferring data from the device to the server

[1218] The terminal transfers the acquired data to the server. HTTP or MQTT is used as the communication protocol. The input is the sensor data received by the terminal. The output is the digital data received by the server.

[1219] Specific operation: The data received by the terminal, "room temperature 25°C, humidity 60%" is sent to the server using the HTTP protocol.

[1220] Step 4:

[1221] Data storage and analysis on the server

[1222] The server stores the received data in a database and then analyzes it. The input is the device status data received by the server. The output is the analysis results and control commands generated based on them.

[1223] Specific operation: The server stores the data "room temperature 25°C, humidity 60%" in the database and performs a comparative analysis with the set standard (e.g., turn on the air conditioner if the room temperature exceeds 26°C).

[1224] Step 5:

[1225] Generation of control commands and transmission from the server to the terminal

[1226] The server generates control commands based on the data analysis results and sends them to the terminal. The input is the analysis results. The output is the control commands received by the terminal.

[1227] Specific operation: If the result shows that the room temperature exceeds 26°C, the server generates a command to turn on the air conditioner and sends it to the terminal.

[1228] Step 6:

[1229] Transfer of control commands from terminal to device

[1230] The terminal transfers the received control commands to the device and adjusts the device's operation. The input is the control command from the server. The output is the control command passed to the device.

[1231] Specific operation: The terminal receives the command "Turn on the air conditioner" from the server and forwards it to the air conditioner, which turns on the air conditioner.

[1232] Step 7:

[1233] Providing a user interface

[1234] The server provides a web interface and a smartphone app that allows users to check the current status and abnormal conditions of the system. The input is the latest device status data stored on the server. The output is the status information displayed on the user's screen.

[1235] Specific operation: The user can check on the smartphone app that the current room temperature is 25°C and that the air conditioner is on.

[1236] Step 8:

[1237] Emotion engine data collection and transmission

[1238] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and sends the emotion data to the server. The input is the user's facial expressions and voice. The output is the emotion data sent to the server.

[1239] Specific operation: The emotion engine captures the user's facial expression that indicates they feel "hot" and sends that data to the server.

[1240] Step 9:

[1241] Emotion data analysis on the server and reflection on the device

[1242] The server analyzes the emotion data sent from the emotion engine, generates additional control commands to adjust the device's operation based on the user's emotional state, and sends them to the terminal. The input is the emotion data from the emotion engine, and the output is the control command passed to the device.

[1243] Specific operation: The server analyzes the emotion data, detects that the user feels "hot," generates a command to lower the air conditioner's temperature setting, and sends it to the device. The device then forwards the received command to the air conditioner, which then lowers the temperature setting.

[1244] (Application example 2)

[1245] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1246] Existing security systems are required not only to detect anomalies but also to immediately take appropriate action when an anomaly occurs. It is also important to understand the emotions and stress levels of security personnel and take appropriate countermeasures, but no system exists that can do this in real time. The purpose of this invention is to realize more effective security measures by combining the collection and analysis of real-time data by sensors and the analysis of users' emotional states using an emotion engine.

[1247] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer the data to the server, means for the server to store and analyze the data in a database, means for the server to generate a control command based on the data analysis results, means for transmitting the generated control command to the terminal, means for the terminal to transfer the control command to the device and automatically adjust the device's operation, means for the emotion engine to acquire user emotion data using a camera and microphone and transmit it to the server, means for the server to analyze the emotion data and generate additional control commands based on the analysis results, and means for transmitting the generated additional control commands to the terminal, and means for the terminal to transfer the control command to the device and automatically adjust the device's operation. This enables the security system to analyze environmental data and user emotion data in real time and automatically take appropriate measures.

[1248] A "sensor" is a device that measures the state of the physical environment or a device and acquires the data.

[1249] A "terminal" is a device that receives data obtained from a sensor and transfers the data to a server.

[1250] A "server" is a computer system that stores received data in a database, analyzes it, and generates control commands.

[1251] A "database" is a system for managing and storing collected data.

[1252] "Analysis" is the process of analyzing collected data and identifying anomalies and patterns.

[1253] A "control command" is instruction information for adjusting the operation of a device based on the analysis results.

[1254] The "emotion engine" is a system that analyzes the user's emotional state from their facial expressions and voice and generates that data.

[1255] A "user interface" is a tool that provides users with the current status and abnormal conditions of the system and allows users to operate and monitor the system.

[1256] A "camera" is a device that collects video data.

[1257] A "microphone" is a device that collects audio data.

[1258] "Real time" means that data acquisition and processing occurs in real time, i.e., immediately, without delay.

[1259] This system combines sensors, terminals, a server, an emotion engine, and a user interface to automatically control the operation of a security robot in real time. Specific embodiments of the present invention will be described below with reference to the following examples.

[1260] Hardware and software used

[1261] 1. Security robot body: This is the central device of the system.

[1262] 2. Sensors: Temperature sensors, motion sensors, cameras, etc. are used to collect physical data about the environment and human detection data.

[1263] 3. Communication module: Sends and receives data using Wi-Fi or Bluetooth.

[1264] 4. Microphone: Collects audio data and uses it for sentiment analysis.

[1265] 5. Emotion engine: Software that analyzes the user's facial expressions and voice and generates emotional data.

[1266] 6. Device control unit (central control unit): Software in the server that analyzes data and generates control commands.

[1267] 7. Database: A system for storing and managing collected data.

[1268] 8. User Interface: An app or web interface that displays the current system status and abnormal conditions, and allows users to monitor and operate the system.

[1269] Acquiring and Sending Data

[1270] First, the sensors measure environmental data (temperature, movement, video, etc.) in real time and send the data to the terminal. The terminal converts the received data into a specific format and sends it to the server via the communication module. The server stores this data in a database and begins analysis.

[1271] Data analysis and control instruction generation

[1272] The server analyzes the received data and determines whether there are any abnormalities. If an abnormality is detected, the server generates appropriate control commands (e.g., activate an alarm or start recording video) and sends them to the terminal. The terminal then forwards these control commands to the security robot, automatically adjusting the device's operation.

[1273] Operating the Emotion Engine

[1274] The emotion engine uses the security robot's on-board camera and microphone to analyze the facial expressions and voice of the person it is facing in real time. The resulting emotion data is sent to a server, which then analyzes the data to determine the person's emotional state. Based on the results of this analysis, additional control commands (e.g., switching the robot to alert mode or notifying an administrator) are generated and sent to the security robot via a terminal.

[1275] Providing a user interface

[1276] Users can monitor and operate the system through a smartphone app or web interface, which allows them to check the current system status, abnormal conditions, and sentiment analysis results in real time, and also allows them to change settings and manually control the system as needed.

[1277] Specific examples

[1278] Security robot operation example

[1279] When a sensor detects environmental data (for example, an abnormal rise in temperature), it sends that data to the terminal. The terminal then sends the data to the server, which analyzes the data and checks for abnormalities. If an abnormality is detected, the server generates a control command to sound an alarm and sends it to the terminal. The terminal then forwards the control command to the robot, which then sounds the alarm.

[1280] The emotion engine also analyzes the facial expressions of people it encounters, and if it detects nervousness or suspicious behavior, it sends the emotion data to the server, which then analyzes the data, generates a control command to instruct the robot to switch to alert mode, and sends the command to the robot via the terminal.

[1281] Prompt Sentence Examples

[1282] "Please tell me how to program a system that automatically processes data obtained from sensors and adapts the behavior of a security robot. The sensors will use temperature, movement, and cameras, and will include a process of analyzing voice and facial expressions with an emotion engine and sending the results to a server. The program should have the robot sound an alarm, start recording, and perform other operations based on commands from the server."

[1283] In this way, this system can achieve efficient monitoring and response in a security environment.

[1284] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1285] Step 1:

[1286] The terminal collects environmental data (temperature, movement, video, etc.) obtained from sensors. The input is real-time data from the sensors, and the output is data in a unified format. Specifically, the terminal receives signals from each sensor and processes them to convert them into a data format.

[1287] Step 2:

[1288] The terminal sends the unified data to the server. The input is the unified data processed in step 1, and the output is the data transferred to the server via the network. The terminal uses Wi-Fi or Bluetooth to send data using HTTP or MQTT protocols.

[1289] Step 3:

[1290] The server stores the received data in a database. The input is the environmental data sent from the device, and the output is the stored data written to the database. The server stores the data in a structured manner using an appropriate database management system (e.g., RDBMS or NoSQL).

[1291] Step 4:

[1292] The server analyzes the stored data and detects anomalies. The input is environmental data retrieved from the database, and the output is the analysis results. The server applies machine learning algorithms and rule-based analysis methods to detect anomalies.

[1293] Step 5:

[1294] The server generates a control command when an abnormality is detected. The input is the analysis result from step 4, and the output is the generated control command. Specifically, based on the analysis result, it creates commands such as sounding an alarm or starting recording.

[1295] Step 6:

[1296] The server sends the generated control command to the terminal. Its input is the generated control command, and its output is the control command sent to the terminal. The server sends the command to the terminal in an appropriate format and it is reflected quickly.

[1297] Step 7:

[1298] The terminal transfers the received control commands to the security robot and automatically adjusts the robot's behavior. The input is the control command sent from the server, and the output is the executed robot behavior. The terminal sends instructions to the robot's control unit to perform specific actions.

[1299] Step 8:

[1300] The emotion engine uses a camera and microphone to capture the user's emotional data and transmits it to the server. Its input is real-time data from the camera and microphone, and its output is emotional data. The emotion engine tags the user's emotional state using image analysis and audio analysis techniques.

[1301] Step 9:

[1302] The server analyzes the emotion data and generates additional control commands based on the analysis results. The input is the emotion data, and the output is the generated additional control commands. The server evaluates the analysis results and outputs appropriate additional measures as commands.

[1303] Step 10:

[1304] The server sends the generated additional control command to the terminal, and the terminal transfers the control command to the security robot to automatically adjust its behavior. The input is the additional control command, and the output is the executed robot behavior. Specifically, the robot performs actions such as switching to alert mode or notifying an administrator.

[1305] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1306] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1307] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1308] [Fourth embodiment]

[1309] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1310] 7, a 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.

[1311] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1312] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1313] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1314] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1315] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1316] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1317] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1318] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1319] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1320] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1321] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1322] The present invention relates to a system for achieving efficient automatic control of devices using sensors, terminals, a server, and a user interface. In this system, sensors acquire device status data in real time and send the data to the terminal. The terminal then forwards the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and sends the control commands back to the terminal. The terminal then forwards the control commands to the device, automatically adjusting the device's operation. This process minimizes manual operation, achieving efficient device operation and energy savings.

[1323] The system also provides a user interface that allows users to check the current status and abnormal conditions and take appropriate action, allowing users to change system settings in real time.

[1324] Explanation of program processing

[1325] 1. Sensor data collection and transmission

[1326] The sensors measure the device's operating status and environmental information in real time and acquire the data.

[1327] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[1328] 2. Data collection in a central control unit

[1329] The sensor data received by the device is transferred to the server, using protocols such as HTTP and MQTT for communication.

[1330] The server's central control unit receives the data and converts it into a specified format.

[1331] 3. Data analysis and condition comparison

[1332] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[1333] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[1334] 4. Automatically adjust device behavior

[1335] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[1336] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[1337] 5. Providing a user interface

[1338] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[1339] Through the interface, users can monitor the device's status in real time and change settings as needed.

[1340] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[1341] Specific examples

[1342] Example 1: Automatic control of air conditioners

[1343] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[1344] 2. The terminal transfers the measurement results to the central control unit of the server.

[1345] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[1346] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[1347] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary.

[1348] Example 2: Preventive maintenance for industrial machinery

[1349] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[1350] 2. The device sends the acquired data to the server.

[1351] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[1352] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[1353] 5. Users can view historical vibration data through a dashboard and schedule preventative maintenance.

[1354] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[1355] The processing flow will be explained below.

[1356] Step 1:

[1357] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[1358] Step 2:

[1359] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[1360] Step 3:

[1361] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[1362] Step 4:

[1363] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[1364] Step 5:

[1365] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[1366] Step 6:

[1367] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[1368] Step 7:

[1369] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[1370] Step 8:

[1371] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[1372] Step 9:

[1373] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[1374] Step 10:

[1375] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[1376] Step 11:

[1377] When a user changes system settings through the interface, the server immediately updates the device and changes its behavior, allowing for real-time system-wide adjustments.

[1378] Through the above processing steps, the server, terminal, and user work together to achieve efficient device management.

[1379] Example 1

[1380] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1381] Efficient data collection and analysis, as well as the generation and execution of appropriate control commands, are important for the automatic control of devices. However, in conventional systems, these processes are often performed manually, resulting in low efficiency. Furthermore, they often lack a real-time interface that allows users to understand the device status and take appropriate action. Furthermore, it is difficult to respond quickly when an abnormality is detected, which can lead to a decrease in the reliability of the entire system.

[1382] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1383] In this invention, the server includes a means for monitoring device status data acquired from sensors in real time, a means for transmitting the acquired data to the terminal, a means for the terminal to transfer the data to the server, a means for the server to store and analyze the data in a database, a means for the server to generate control commands based on the data analysis results, a means for transmitting the generated control commands to the terminal, and a means for the terminal to transfer the control commands to the device and automatically adjust the device's operation. This enables efficient automatic control of the device and energy conservation. Furthermore, the system includes a means for providing a user interface that allows the user to check the current system status and abnormal conditions, and a means for the server to reflect user setting changes in real time and change the device's operation, allowing the user to appropriately monitor and control the system. Furthermore, the system includes a means for transmitting data acquired by the sensors to the terminal using a communication method such as Wi-Fi or Bluetooth, and a means for the terminal to transfer the sensor data received by the terminal to the server using a protocol such as HTTP or MQTT, thereby achieving high-speed and reliable data communication and enabling rapid response to abnormalities.

[1384] A "sensor" is a device that acquires device status data and environmental information in real time.

[1385] A "terminal" is a device that receives data acquired from a sensor and transfers it to a server.

[1386] A "server" is a computer system having a central control unit for analyzing received data and generating and sending control instructions to the terminals.

[1387] A "database" is an information management system that stores and analyzes data collected by a server.

[1388] A "control command" is an instruction generated by the server based on the results of data analysis to adjust the operation of the device.

[1389] A "user interface" is an operation screen that allows the user to check the current state of the system and any abnormal conditions, and to change settings.

[1390] "Wi-Fi" is a communication method for transferring data using wireless communication technology.

[1391] "Bluetooth" is a communication method for transferring data using short-range wireless communication technology.

[1392] "HTTP" is an abbreviation for Hypertext Transfer Protocol, a protocol for transferring data between a server and a terminal.

[1393] "MQTT" stands for Message Queuing Telemetry Transport and is a lightweight communication protocol for transferring data between servers and terminals.

[1394] "Real-time" refers to the ability to process and communicate data almost instantly.

[1395] The present invention relates to a system for realizing efficient automatic control of devices using sensors, terminals, a server, and a user interface. The system functions as follows.

[1396] First, a sensor measures the device's operating status and environmental information in real time and acquires that data. For example, a temperature sensor measures the room temperature every minute. Next, the sensor sends the acquired data to the device using a communication method such as Wi-Fi or Bluetooth. For example, a temperature sensor may send its measurement data to the device via Bluetooth.

[1397] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT. For example, the terminal sends room temperature data to the server as an HTTP request. The server's central control unit receives the data and converts it into a specified format. For example, the server converts the received JSON format data into its internal format.

[1398] The server then compares the received data with pre-defined operating conditions or standards. For example, the server compares the room temperature data with the set temperature. If the server detects an abnormality in the data, it executes a pre-defined protocol (e.g., alarm or device shutdown). For example, if the room temperature exceeds the set temperature, the server generates a command to turn on the air conditioner.

[1399] The server's central control unit generates the necessary control commands based on the data analysis results and sends them to the terminal. For example, the server generates a command to turn on the air conditioner and sends it to the terminal. The terminal then forwards the control command received from the server to the device, automatically adjusting the device's operation. A specific example is when the terminal receives a command to turn on the air conditioner and forwards it to the air conditioner to operate it.

[1400] The server also provides a web interface and app that allows users to check the current system status and any abnormal conditions. Through this, users can monitor the device status in real time and change settings as necessary. For example, a user may check the room temperature on a smartphone app and change the set temperature. The server then reflects the user's setting changes in real time on the device and affects the device's operation. When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[1401] Specific examples

[1402] Example 1: Automatic control of air conditioners

[1403] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device. Example: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[1404] 2. The device transfers the measurement results to the server's central control unit via an HTTP request. Example: The device sends room temperature data to the server.

[1405] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal. Example: The server generates an instruction to operate the air conditioner and sends it to the terminal.

[1406] 4. The terminal forwards the command received from the server to the air conditioner and turns it on. Example: The terminal receives an instruction to turn on the air conditioner, forwards it to the air conditioner, and turns it on.

[1407] 5. The user checks the current room temperature through the smartphone app and changes the set temperature if necessary. Example: The user checks the room temperature through the smartphone app and changes the set temperature.

[1408] Example 2: Preventive maintenance for industrial machinery

[1409] 1. The sensor monitors the operating status and vibration of the machine in real time and sends the data to the device. Example: A vibration sensor measures the vibration of the machine and sends it to the device via Wi-Fi.

[1410] 2. The device sends the acquired data to the server as an HTTP request. Example: The device sends vibration data to the server.

[1411] 3. If the vibration data exceeds a predetermined standard value, the server generates a warning and sends it to the device. Example: The server detects abnormal vibration, generates a warning, and sends it to the device.

[1412] 4. The terminal notifies the machine operator of a warning message and executes an automatic machine stop command if necessary. Example: The terminal notifies the operator of a warning and automatically stops the machine.

[1413] 5. User checks historical vibration data through the dashboard and schedules preventive maintenance. Example: User checks vibration data through the dashboard and schedules maintenance.

[1414] In this way, efficient and automated device management is realized by the collaboration of the server, terminal, and user.

[1415] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1416] Program processing steps

[1417] Step 1: Collect and transmit sensor data

[1418] Sensors measure device status data and environmental information (e.g., room temperature, humidity, vibration, etc.) in real time.

[1419] Input: The physical condition to be measured (room temperature, humidity, vibration, etc.).

[1420] Output: Measured data (e.g. room temperature 23°C, humidity 45%).

[1421] The sensor transmits the acquired data to the terminal using communication methods such as Wi-Fi or Bluetooth.

[1422] Input: Measured data.

[1423] Output: Data sent to the device.

[1424] Specific operation: The temperature sensor measures the room temperature every minute and sends the data to the device via Bluetooth.

[1425] Step 2: Aggregating data into a central control unit

[1426] The terminal transfers the received sensor data to the server using protocols such as HTTP or MQTT.

[1427] Input: Data received from the sensor.

[1428] Output: The data sent to the server.

[1429] Specific operation: The device sends room temperature data to the server as an HTTP request.

[1430] The server's central control unit receives the data and converts it into a specified format.

[1431] Input: Data received from the terminal.

[1432] Output: Data converted to internal format.

[1433] Specific operation: The server converts the received JSON format data into an internal format.

[1434] Step 3: Data analysis and condition comparison

[1435] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[1436] Input: Data converted into internal format, pre-set operating conditions.

[1437] Output: Comparison result (whether the condition is met or not).

[1438] What happens: The server compares the room temperature data with the set temperature.

[1439] If the server detects an abnormality in the data, it executes a preset emergency response protocol.

[1440] Input: Comparison results, emergency response protocol.

[1441] Output: Execute emergency response.

[1442] Specific behavior: If the room temperature exceeds the set temperature, the server generates an alarm.

[1443] Step 4: Automatically adjust device behavior

[1444] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[1445] Input: Data analysis results.

[1446] Output: Control instructions.

[1447] Specific operation: The server generates a command to turn on the air conditioner and sends it to the terminal.

[1448] The terminal transfers the control command received from the server to the device and automatically adjusts the operation of the device.

[1449] Input: Control command received from the server.

[1450] Output: The control instructions sent to the device.

[1451] Specific operation: The terminal receives the air conditioner operation command and forwards it to the air conditioner to operate it.

[1452] Step 5: Providing a User Interface

[1453] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[1454] Input: Current and abnormal situation data.

[1455] Output: Information displayed in the user interface.

[1456] What it does: Provides a dashboard that can be accessed via a web browser.

[1457] Through the interface, users can monitor the device's status in real time and change settings as needed.

[1458] Input: User monitoring and configuration change requests.

[1459] Output: Display of data and reflection of configuration changes.

[1460] Specific operation: The user checks the room temperature using a smartphone app and changes the set temperature.

[1461] The server reflects the setting changes made by the user on the terminal in real time, and reflects them in the operation of the device.

[1462] Input: User-initiated configuration changes.

[1463] Output: The device behavior with the configuration changes applied.

[1464] Specific operation: When the user changes the set temperature, the server sends the new setting to the device and updates the air conditioner settings.

[1465] (Application example 1)

[1466] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1467] Conventional robot control systems in logistics centers have had the problem of requiring a lot of manual operation, making it difficult to improve efficiency. There was also a demand for a system that could grasp surrounding environmental information, such as temperature, humidity, and location data, in real time and automatically generate optimal routes and operational instructions. Furthermore, there was a lack of an interface that allowed users to check this information in real time and change settings.

[1468] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1469] In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to a terminal, means for the terminal to transfer the data to the server, means for the server to store the data in a database and analyze it, means for the server to generate control commands based on the results of the data analysis, means for the server to transmit the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device's operation, means for monitoring the device's location, package status, and surrounding environment, and generating optimal routes and operation instructions based on this data, and means for providing a user interface. This enables efficient control and automation of robots within a logistics center, and allows users to change settings and check the status in real time.

[1470] A "sensor" is a device that acquires device status data in real time and transmits that information to a terminal.

[1471] A "terminal" is a device that transfers data acquired from a sensor to a server and transfers control commands received from the server to the device.

[1472] A "server" is a device that stores data transferred from a terminal in a database and analyzes it. It also has the function of generating control commands based on the results of data analysis and sending them to the terminal.

[1473] A "database" is a system that stores data collected by a server and allows it to be searched and analyzed as needed.

[1474] A "control command" is a command that the server generates based on the results of data analysis to automatically adjust the operation of the device.

[1475] A "user interface" is an interface that allows users to check the current status and abnormal conditions of the system and change settings.

[1476] "Device" refers to a device to be controlled, and in this system includes a robot or the like.

[1477] "Environmental information" is data that indicates the surrounding conditions, such as temperature, humidity, and location data.

[1478] The "optimal route" is information indicating the most appropriate route for the device to operate efficiently.

[1479] An "operation instruction" is command information required for a device to perform a specific operation.

[1480] This invention relates to an efficient automatic control system for robots in a logistics center. This system is realized using sensors, terminals, a server, and a user interface.

[1481] System configuration

[1482] 1. Sensor

[1483] The sensors monitor the device's status data (temperature, humidity, location data) in real time and transmit the data to the terminal.

[1484] 2. Terminal

[1485] The terminal transfers data acquired from the sensor to the server, and also has the function of transferring control commands from the server to the device.

[1486] 3. Server

[1487] The server stores the data received from the terminal in a database, analyzes it, generates control commands based on the analysis results, and sends these control commands back to the terminal.

[1488] The server also provides a user interface that allows users to check the current status of the system and any abnormal conditions, and change settings as necessary.

[1489] Data processing and control instruction generation

[1490] The server takes in the received data in real time and analyzes it. This analysis uses a data analysis algorithm that uses a generative AI model. Based on the analysis results, optimal routes and operational instructions are generated, and these control commands are sent to the terminal. The terminal then forwards the control commands to the device, which automatically adjusts the device's operation.

[1491] User Interface

[1492] Users can monitor the system's operating status and detect abnormal conditions through a dedicated interface (smartphone, tablet, or AR goggles), and can also change settings as needed. Changes are immediately reflected on the server and applied to the device in real time.

[1493] Specific examples

[1494] For example, when a robot transports goods within a logistics center, sensors monitor the robot's position, the condition of the goods, and the surrounding temperature and humidity. This data is collected by a terminal and sent to a server. The server analyzes the received data and generates the optimal route and operating instructions. These control commands are sent to the robot via the terminal, allowing the robot to operate efficiently.

[1495] Example prompts for generative AI models

[1496] Train a model to generate optimal routes and operational instructions for robots in a distribution center. Input data includes temperature, humidity, location, and package condition. Optimize routes and handle abnormalities to ensure efficient robot operation.

[1497] Such systems improve the efficiency and safety of logistics centers and minimize manual operations.

[1498] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1499] Step 1:

[1500] Sensors collect real-time device status data (such as temperature, humidity, and location data). This data is measured by the device's sensors and initially obtained in the form of raw data, which is the input data.

[1501] Step 2:

[1502] The raw data acquired from the sensor is sent to the terminal via communication means such as Wi-Fi or Bluetooth. The terminal receives this raw data and temporarily stores it. The received data is the input, and the temporarily stored data is the output.

[1503] Step 3:

[1504] The device transfers the temporarily stored data to the server using communication protocols such as HTTP or MQTT, allowing the sensor data to reach the server in real time.

[1505] Step 4:

[1506] The server receives the data transferred from the device and stores it in a database. While doing so, the server converts the data into a format suitable for analysis. The received data is the input, and the stored data is the output.

[1507] Step 5:

[1508] The server analyzes the stored data using a data analysis algorithm that uses a generative AI model. The data analyzed includes temperature, humidity, location information, and the condition of the luggage, and the optimal route and operating instructions are generated as a result of the analysis.

[1509] Step 6:

[1510] Based on the analysis results, the server generates control commands. These control commands are routes and operational instructions for the robot to operate efficiently. Analysis data is the input, and control commands are the output.

[1511] Step 7:

[1512] The server sends the generated control command back to the terminal, which receives the control command and forwards it to the device, which then automatically adjusts the device.

[1513] Step 8:

[1514] The devices (robots, etc.) adjust their operations in accordance with the received control commands to perform optimal operations, thereby achieving efficient work within the logistics center.

[1515] Step 9:

[1516] Users can check the current status of the system and any abnormalities in real time through a dedicated user interface (smartphone, tablet, AR goggles, etc.), and can change settings as needed, which are immediately updated on the server.

[1517] Step 10:

[1518] The server reflects the user's changes to the settings, generates new control commands, and sends them to the devices via the terminal. This process allows further adjustments to be made, improving the efficiency of the entire system.

[1519] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1520] The present invention relates to an efficient automatic control system for devices that combines sensors, terminals, servers, emotion engines, and user interfaces. This system uses sensors to acquire device status data in real time and transmits the data to the terminal. The terminal then transfers the data to the server, which stores the data in a database and analyzes it. Based on the analysis results, the server generates control commands and transmits them back to the terminal. The terminal then transfers the control commands to the device, automatically adjusting the device's operation.

[1521] By incorporating an emotion engine into this system, it becomes possible to recognize the user's emotions in real time and adjust the device's operation accordingly. The emotion engine analyzes the user's facial expressions and voice and sends the data to a server. The server receives the emotion data and adjusts the device's operation in real time based on the analysis results. This allows the user to experience a more appropriate and comfortable device operation.

[1522] Explanation of program processing

[1523] 1. Sensor data collection and transmission

[1524] The sensors measure the device's operating status and environmental information in real time and acquire the data. The sensors are set to periodically update the data and keep the information up to date.

[1525] The sensor transmits the acquired data to the device using a communication method such as Wi-Fi or Bluetooth.

[1526] 2. Data collection in a central control unit

[1527] The sensor data received by the device is transferred to the server using HTTP or MQTT as the communication protocol.

[1528] The server's central control unit receives the data and converts it into a specified format.

[1529] 3. Data analysis and condition comparison

[1530] The server's central control unit compares the received data with pre-defined operating conditions and standards.

[1531] If the server's central control unit detects an abnormality in the data, it executes a pre-defined emergency response protocol (e.g., alarm or shutdown).

[1532] 4. Automatically adjust device behavior

[1533] The central control unit of the server generates the necessary control commands based on the data analysis results and sends them to the terminal.

[1534] The terminal transfers control instructions received from the central control unit of the server to the device and automatically adjusts the operation of the device.

[1535] 5. Providing a user interface

[1536] The server provides a web interface and app that allows users to check the current status of the system and any abnormalities.

[1537] Through the interface, users can monitor the device's status in real time and change settings as needed.

[1538] When a user changes a setting, the server immediately reflects that information on the terminal and affects the device's operation.

[1539] 6. Emotion Engine Data Collection and Transmission

[1540] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and obtain the user's emotional data.

[1541] The emotion engine transmits the acquired emotion data to the server.

[1542] 7. Analysis and reflection of emotional data

[1543] The server analyzes the emotion data sent from the emotion engine in real time and determines the user's emotional state.

[1544] Based on the emotion analysis results, the server generates additional control instructions for adjusting the device's operation and sends them to the terminal.

[1545] The terminal transfers the received control command to the device and automatically adjusts the operation of the device.

[1546] Specific examples

[1547] Example 1: Automatic control of air conditioners

[1548] 1. The sensor periodically measures the room temperature and humidity and sends the data to the device.

[1549] 2. The terminal transfers the measurement results to the central control unit of the server.

[1550] 3. If the room temperature exceeds the set temperature, the server generates an instruction to operate the air conditioner and sends it to the terminal.

[1551] 4. The terminal forwards the command received from the server to the air conditioner and turns it on.

[1552] 5. The emotion engine analyzes the user's facial expressions and voice, and if the user feels "hot," it sends a command to the server to automatically lower the set temperature.

[1553] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[1554] 7. The terminal forwards the received additional command to the air conditioner and changes the set temperature.

[1555] 8. The user checks the current room temperature and air conditioning settings through the smartphone app and further adjusts the set temperature if necessary.

[1556] Example 2: Preventive maintenance for industrial machinery

[1557] 1. The sensor monitors the machine's operating status and vibrations in real time and transmits the data to a terminal.

[1558] 2. The device sends the acquired data to the server.

[1559] 3. If the vibration data exceeds a predetermined standard value, the server generates an alert and sends it to the terminal.

[1560] 4. The terminal notifies the machine operator of a warning message and, if necessary, executes an automatic machine stop command.

[1561] 5. The emotion engine analyzes the operator's stress level and, if stress is high, sends a command to the server to adjust the machine's operating speed to reduce the workload.

[1562] 6. The server receives the emotion data, generates additional commands, and sends them to the device.

[1563] 7. The terminal forwards the received additional instructions to the machine and adjusts the operating speed.

[1564] 8. Users can view vibration data and operator emotional state through a dashboard and schedule preventative maintenance.

[1565] In this way, the sensors, terminals, servers, emotion engines, and users work together to achieve efficient and automated device management and improved user comfort.

[1566] The processing flow will be explained below.

[1567] Step 1:

[1568] Sensors measure device conditions (e.g., temperature, humidity, vibration) in real time and capture that data. The sensors are configured to periodically refresh their data to keep it up to date.

[1569] Step 2:

[1570] The data acquired by the sensor is sent to the terminal via wireless communication methods such as Wi-Fi or Bluetooth. The sensor sends the data in packet format for efficient data transfer.

[1571] Step 3:

[1572] The device receives the data received from the sensor and performs the necessary data checks to ensure the accuracy of the data. After the checks are complete, the device formats the data and adds necessary metadata (e.g., timestamp, sensor ID).

[1573] Step 4:

[1574] The device sends the formatted data to the server. HTTP or MQTT is used as the communication protocol. The device checks whether the transmission was successful and attempts to retransmit if it fails.

[1575] Step 5:

[1576] The server receives the data sent from the device and stores it in a database. When the server receives the data, it checks the format and converts it as necessary.

[1577] Step 6:

[1578] The server's central control unit analyzes the stored data using statistical methods and machine learning algorithms, comparing the data with pre-defined conditions and standards.

[1579] Step 7:

[1580] The server's central control unit generates the necessary control commands based on the analysis results, for example, to turn on a cooling device if the temperature exceeds a set range.

[1581] Step 8:

[1582] The server sends the generated control command to the terminal, which receives the control command and checks its contents.

[1583] Step 9:

[1584] The terminal transmits the received control command to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[1585] Step 10:

[1586] The server provides a user interface that allows users to check the current status and abnormalities of the system. Users can check the data in real time through the interface and change the settings as needed.

[1587] Step 11:

[1588] When a user changes system settings through the interface, the server immediately reflects that information on the terminal and affects the device's operation.

[1589] Step 12:

[1590] The emotion engine analyzes the user's facial expressions and voice to obtain the user's emotional data in real time. The emotion engine collects data using the camera and microphone.

[1591] Step 13:

[1592] The emotion data acquired by the emotion engine is sent to the server using a commonly used communication protocol.

[1593] Step 14:

[1594] The server receives and analyzes the emotion data sent from the emotion engine. The server then integrates and analyzes the emotion data with other sensor data to determine the user's emotional state.

[1595] Step 15:

[1596] The server generates additional control commands to adjust the device's operation based on the emotion analysis results. For example, if the user feels "hot," it generates a command to automatically lower the set temperature.

[1597] Step 16:

[1598] The server sends the generated additional control command to the terminal, which receives the control command and checks its contents.

[1599] Step 17:

[1600] The terminal forwards the received additional control commands to the device and automatically adjusts the device's operation, for example, executing a command to change the temperature setting of the air conditioner.

[1601] Through the above processing steps, the server, terminal, user, and emotion engine work together to achieve efficient and automated device management and improved user comfort.

[1602] Example 2

[1603] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1604] Conventional device control systems provide functions for collecting and analyzing sensor data and controlling devices, but they lack the ability to adequately control devices in real time based on the user's emotional state. Furthermore, they lack the means for users to intuitively check the current system status and abnormalities in real time and change settings accordingly. This has hindered improvements in user comfort and effective device management.

[1605] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer data to the server, means for the server to store and analyze the data in a database, means for the server to generate control commands based on the data analysis results, means for transmitting the generated control commands to the terminal, means for the terminal to transfer the control commands to the device and automatically adjust the device operation, means for an emotion engine to analyze the user's facial expressions and voice and transmit the data to the server, means for the server to analyze emotion data and adjust the device operation in real time, means for providing a user interface that allows the user to check the current system status and abnormal conditions, and means for reflecting user setting changes in real time and reflecting them in the device operation. This enables device control based on the user's emotional state and intuitive, real-time system management.

[1606] A "sensor" is a device that measures physical environmental information or the state of a device in real time.

[1607] A "terminal" is a relay device that receives sensor data and transfers it to a server.

[1608] "Server" is a central control unit that stores and analyzes received data and generates and sends control commands.

[1609] A "database" is a system connected to a server for storing and managing received data.

[1610] "Analysis" is the process of comparing received data with set conditions and standards and generating the necessary control commands.

[1611] A "control command" is a command generated by the server based on the analysis results, and is an instruction to adjust the operation of the device.

[1612] The "emotion engine" is a system that uses a camera and microphone to analyze the user's facial expressions and voice to obtain emotional data.

[1613] A "user interface" is an interactive means by which a user can check the current status and abnormal conditions of a system and operate it.

[1614] "Real-time" refers to responding immediately to ongoing events and data, and processing without delay.

[1615] "Device" refers to the equipment or devices that are the target of control by the system, including air conditioners and industrial machinery.

[1616] This invention is an automatic control system that combines sensors, terminals, a server, an emotion engine, and a user interface. This system uses the following hardware and software to efficiently and automatically collect, analyze, and control data.

[1617] Sensor data collection

[1618] The sensors measure device status data and environmental information in real time, such as temperature, humidity, vibration status, etc. The measured data is immediately sent to the device.

[1619] Sending data to the device

[1620] The terminal receives the data sent from the sensor. Data is transferred using wireless communication technologies such as Wi-Fi and Bluetooth. This terminal has a communication function to transfer the received data to the server.

[1621] Transfer of data to the server

[1622] The terminal transfers the acquired data to the server, using HTTP or MQTT as the communication protocol. The server receives the data and stores it in a database.

[1623] Data analysis

[1624] The server stores the received data in a database and then analyzes it using pre-defined conditions and criteria – for example, if the room temperature exceeds a certain threshold, a specific action can be taken.

[1625] Generate and send control commands

[1626] The server generates control commands based on the analysis results, and sends the generated control commands to the terminal. The terminal then forwards the received control commands to the device to adjust the device's operation.

[1627] Use of emotion engine

[1628] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to capture the user's emotional state. This emotional data is also sent to the server, which analyzes it and reflects it in the device's operation.

[1629] Providing a user interface

[1630] The server provides a web interface and a smartphone app that allows users to check the current status of the system and any abnormalities. Users can change device settings through the interface, and the changes are reflected in the system in real time.

[1631] Specific examples

[1632] For example, consider an automatic air conditioner control system. A sensor measures the room temperature and humidity and sends the data to a terminal. The terminal transfers the data to a server, which analyzes the data. If the room temperature exceeds the set temperature, the server generates a command to operate the air conditioner and sends it to the terminal. The terminal transfers the command to the air conditioner, which turns it on. The emotion engine also analyzes the user's facial expression indicating that it is "hot" and sends it to the server. Based on the analysis results, the server generates a command to lower the set temperature and sends it to the terminal. The terminal transfers the command to the air conditioner, which adjusts the set temperature.

[1633] Prompt Sentence Examples

[1634] Please explain the specific flow and operation of each processing step, from collecting sensor data to executing control commands and even real-time adjustments using the emotion engine. Please include specific examples and situations.

[1635] This system configuration allows the device's operation to be dynamically adjusted according to the user's environmental and emotional state, resulting in more comfortable and efficient control.

[1636] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1637] Step 1:

[1638] Sensor data collection and transmission

[1639] Sensors measure and capture device status data and environmental information (e.g., temperature, humidity, vibration) in real time. The input is the physical environmental data captured by the sensor. The output is the measurement data sent to the device.

[1640] Specific operation: For example, in an air conditioner control system, a sensor measures the room temperature as 25°C and the humidity as 60%. This data is updated every minute and sent to the terminal.

[1641] Step 2:

[1642] Sending data to the device

[1643] The terminal receives data sent from the sensor. The input is the measurement data sent from the sensor. The output is a data packet that is forwarded to the server.

[1644] Specific operation: The device receives data from the sensor such as "room temperature 25°C, humidity 60%" and sends this to the server using the Wi-Fi protocol.

[1645] Step 3:

[1646] Transferring data from the device to the server

[1647] The terminal transfers the acquired data to the server. HTTP or MQTT is used as the communication protocol. The input is the sensor data received by the terminal. The output is the digital data received by the server.

[1648] Specific operation: The data received by the terminal, "room temperature 25°C, humidity 60%" is sent to the server using the HTTP protocol.

[1649] Step 4:

[1650] Data storage and analysis on the server

[1651] The server stores the received data in a database and then analyzes it. The input is the device status data received by the server. The output is the analysis results and control commands generated based on them.

[1652] Specific operation: The server stores the data "room temperature 25°C, humidity 60%" in the database and performs a comparative analysis with the set standard (e.g., turn on the air conditioner if the room temperature exceeds 26°C).

[1653] Step 5:

[1654] Generation of control commands and transmission from the server to the terminal

[1655] The server generates control commands based on the data analysis results and sends them to the terminal. The input is the analysis results. The output is the control commands received by the terminal.

[1656] Specific operation: If the result shows that the room temperature exceeds 26°C, the server generates a command to turn on the air conditioner and sends it to the terminal.

[1657] Step 6:

[1658] Transfer of control commands from terminal to device

[1659] The terminal transfers the received control commands to the device and adjusts the device's operation. The input is the control command from the server. The output is the control command passed to the device.

[1660] Specific operation: The terminal receives the command "Turn on the air conditioner" from the server and forwards it to the air conditioner, which turns on the air conditioner.

[1661] Step 7:

[1662] Providing a user interface

[1663] The server provides a web interface and a smartphone app that allows users to check the current status and abnormal conditions of the system. The input is the latest device status data stored on the server. The output is the status information displayed on the user's screen.

[1664] Specific operation: The user can check on the smartphone app that the current room temperature is 25°C and that the air conditioner is on.

[1665] Step 8:

[1666] Emotion engine data collection and transmission

[1667] The emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time and sends the emotion data to the server. The input is the user's facial expressions and voice. The output is the emotion data sent to the server.

[1668] Specific operation: The emotion engine captures the user's facial expression that indicates they feel "hot" and sends that data to the server.

[1669] Step 9:

[1670] Emotion data analysis on the server and reflection on the device

[1671] The server analyzes the emotion data sent from the emotion engine, generates additional control commands to adjust the device's operation based on the user's emotional state, and sends them to the terminal. The input is the emotion data from the emotion engine, and the output is the control command passed to the device.

[1672] Specific operation: The server analyzes the emotion data, detects that the user feels "hot," generates a command to lower the air conditioner's temperature setting, and sends it to the device. The device then forwards the received command to the air conditioner, which then lowers the temperature setting.

[1673] (Application example 2)

[1674] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1675] Existing security systems are required not only to detect anomalies but also to immediately take appropriate action when an anomaly occurs. It is also important to understand the emotions and stress levels of security personnel and take appropriate countermeasures, but no system exists that can do this in real time. The purpose of this invention is to realize more effective security measures by combining the collection and analysis of real-time data by sensors and the analysis of users' emotional states using an emotion engine.

[1676] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for monitoring device status data acquired from sensors in real time, means for transmitting the acquired data to the terminal, means for the terminal to transfer the data to the server, means for the server to store and analyze the data in a database, means for the server to generate a control command based on the data analysis results, means for transmitting the generated control command to the terminal, means for the terminal to transfer the control command to the device and automatically adjust the device's operation, means for the emotion engine to acquire user emotion data using a camera and microphone and transmit it to the server, means for the server to analyze the emotion data and generate additional control commands based on the analysis results, and means for transmitting the generated additional control commands to the terminal, and means for the terminal to transfer the control command to the device and automatically adjust the device's operation. This enables the security system to analyze environmental data and user emotion data in real time and automatically take appropriate measures.

[1677] A "sensor" is a device that measures the state of the physical environment or a device and acquires the data.

[1678] A "terminal" is a device that receives data obtained from a sensor and transfers the data to a server.

[1679] A "server" is a computer system that stores received data in a database, analyzes it, and generates control commands.

[1680] A "database" is a system for managing and storing collected data.

[1681] "Analysis" is the process of analyzing collected data and identifying anomalies and patterns.

[1682] A "control command" is instruction information for adjusting the operation of a device based on the analysis results.

[1683] The "emotion engine" is a system that analyzes the user's emotional state from their facial expressions and voice and generates that data.

[1684] A "user interface" is a tool that provides users with the current status and abnormal conditions of the system and allows users to operate and monitor the system.

[1685] A "camera" is a device that collects video data.

[1686] A "microphone" is a device that collects audio data.

[1687] "Real time" means that data acquisition and processing occurs in real time, i.e., immediately, without delay.

[1688] This system combines sensors, terminals, a server, an emotion engine, and a user interface to automatically control the operation of a security robot in real time. Specific embodiments of the present invention will be described below with reference to the following examples.

[1689] Hardware and software used

[1690] 1. Security robot body: This is the central device of the system.

[1691] 2. Sensors: Temperature sensors, motion sensors, cameras, etc. are used to collect physical data about the environment and human detection data.

[1692] 3. Communication module: Sends and receives data using Wi-Fi or Bluetooth.

[1693] 4. Microphone: Collects audio data and uses it for sentiment analysis.

[1694] 5. Emotion engine: Software that analyzes the user's facial expressions and voice and generates emotional data.

[1695] 6. Device control unit (central control unit): Software in the server that analyzes data and generates control commands.

[1696] 7. Database: A system for storing and managing collected data.

[1697] 8. User Interface: An app or web interface that displays the current system status and abnormal conditions, and allows users to monitor and operate the system.

[1698] Acquiring and Sending Data

[1699] First, the sensors measure environmental data (temperature, movement, video, etc.) in real time and send the data to the terminal. The terminal converts the received data into a specific format and sends it to the server via the communication module. The server stores this data in a database and begins analysis.

[1700] Data analysis and control instruction generation

[1701] The server analyzes the received data and determines whether there are any abnormalities. If an abnormality is detected, the server generates appropriate control commands (e.g., activate an alarm or start recording video) and sends them to the terminal. The terminal then forwards these control commands to the security robot, automatically adjusting the device's operation.

[1702] Operating the Emotion Engine

[1703] The emotion engine uses the security robot's on-board camera and microphone to analyze the facial expressions and voice of the person it is facing in real time. The resulting emotion data is sent to a server, which then analyzes the data to determine the person's emotional state. Based on the results of this analysis, additional control commands (e.g., switching the robot to alert mode or notifying an administrator) are generated and sent to the security robot via a terminal.

[1704] Providing a user interface

[1705] Users can monitor and operate the system through a smartphone app or web interface, which allows them to check the current system status, abnormal conditions, and sentiment analysis results in real time, and also allows them to change settings and manually control the system as needed.

[1706] Specific examples

[1707] Security robot operation example

[1708] When a sensor detects environmental data (for example, an abnormal rise in temperature), it sends that data to the terminal. The terminal then sends the data to the server, which analyzes the data and checks for abnormalities. If an abnormality is detected, the server generates a control command to sound an alarm and sends it to the terminal. The terminal then forwards the control command to the robot, which then sounds the alarm.

[1709] The emotion engine also analyzes the facial expressions of people it encounters, and if it detects nervousness or suspicious behavior, it sends the emotion data to the server, which then analyzes the data, generates a control command to instruct the robot to switch to alert mode, and sends the command to the robot via the terminal.

[1710] Prompt Sentence Examples

[1711] "Please tell me how to program a system that automatically processes data obtained from sensors and adapts the behavior of a security robot. The sensors will use temperature, movement, and cameras, and will include a process of analyzing voice and facial expressions with an emotion engine and sending the results to a server. The program should have the robot sound an alarm, start recording, and perform other operations based on commands from the server."

[1712] In this way, this system can achieve efficient monitoring and response in a security environment.

[1713] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1714] Step 1:

[1715] The terminal collects environmental data (temperature, movement, video, etc.) obtained from sensors. The input is real-time data from the sensors, and the output is data in a unified format. Specifically, the terminal receives signals from each sensor and processes them to convert them into a data format.

[1716] Step 2:

[1717] The terminal sends the unified data to the server. The input is the unified data processed in step 1, and the output is the data transferred to the server via the network. The terminal uses Wi-Fi or Bluetooth to send data using HTTP or MQTT protocols.

[1718] Step 3:

[1719] The server stores the received data in a database. The input is the environmental data sent from the device, and the output is the stored data written to the database. The server stores the data in a structured manner using an appropriate database management system (e.g., RDBMS or NoSQL).

[1720] Step 4:

[1721] The server analyzes the stored data and detects anomalies. The input is environmental data retrieved from the database, and the output is the analysis results. The server applies machine learning algorithms and rule-based analysis methods to detect anomalies.

[1722] Step 5:

[1723] The server generates a control command when an abnormality is detected. The input is the analysis result from step 4, and the output is the generated control command. Specifically, based on the analysis result, it creates commands such as sounding an alarm or starting recording.

[1724] Step 6:

[1725] The server sends the generated control command to the terminal. Its input is the generated control command, and its output is the control command sent to the terminal. The server sends the command to the terminal in an appropriate format and it is reflected quickly.

[1726] Step 7:

[1727] The terminal transfers the received control commands to the security robot and automatically adjusts the robot's behavior. The input is the control command sent from the server, and the output is the executed robot behavior. The terminal sends instructions to the robot's control unit to perform specific actions.

[1728] Step 8:

[1729] The emotion engine uses a camera and microphone to capture the user's emotional data and transmits it to the server. Its input is real-time data from the camera and microphone, and its output is emotional data. The emotion engine tags the user's emotional state using image analysis and audio analysis techniques.

[1730] Step 9:

[1731] The server analyzes the emotion data and generates additional control commands based on the analysis results. The input is the emotion data, and the output is the generated additional control commands. The server evaluates the analysis results and outputs appropriate additional measures as commands.

[1732] Step 10:

[1733] The server sends the generated additional control command to the terminal, and the terminal transfers the control command to the security robot to automatically adjust its behavior. The input is the additional control command, and the output is the executed robot behavior. Specifically, the robot performs actions such as switching to alert mode or notifying an administrator.

[1734] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1735] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1736] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1737] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1738] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1739] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1740] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1741] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1742] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1743] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1744] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1745] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1746] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1747] 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.

[1748] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1749] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1750] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1751] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1752] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1753] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1754] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1755] The following is further disclosed regarding the above embodiment.

[1756] (Claim 1)

[1757] a means for monitoring device status data obtained from sensors in real time;

[1758] means for transmitting the acquired data to a terminal;

[1759] A means for the terminal to transfer data to a server;

[1760] A means for the server to store and analyze the data in a database;

[1761] A means for the server to generate a control command based on the data analysis result;

[1762] means for transmitting the generated control command to a terminal;

[1763] A system including a means by which a terminal transfers control instructions to a device and automatically coordinates the operation of the device.

[1764] (Claim 2)

[1765] 2. The system according to claim 1, further comprising means for providing a user interface that enables a user to check the current status and abnormal conditions of the system.

[1766] (Claim 3)

[1767] 2. The system according to claim 1, wherein the server includes means for reflecting setting changes from the user in real time and reflecting the changes in the operation of the device.

[1768] "Example 1"

[1769] (Claim 1)

[1770] a means for monitoring device status data obtained from sensors in real time;

[1771] means for transmitting the acquired data to a terminal;

[1772] A means for the terminal to transfer data to a server;

[1773] A means for the server to store and analyze the data in a database;

[1774] A means for the server to generate a control command based on the data analysis result;

[1775] means for transmitting the generated control command to a terminal;

[1776] means for the terminal to transmit control instructions to the device and automatically adjust the operation of the device;

[1777] A means for providing a user interface that allows users to check the current status and abnormal conditions of the system;

[1778] A system that includes a means for the server to reflect setting changes from the user in real time and reflect them in the operation of the device.

[1779] (Claim 2)

[1780] The system according to claim 1, further comprising means for transmitting data acquired by the sensor to the terminal using a communication method such as Wi-Fi or Bluetooth.

[1781] (Claim 3)

[1782] 2. The system according to claim 1, further comprising means for transferring the sensor data received by the terminal to the server using a protocol such as HTTP or MQTT.

[1783] "Application Example 1"

[1784] (Claim 1)

[1785] a means for monitoring device status data obtained from the sensor in real time;

[1786] means for transmitting the acquired data to a terminal;

[1787] A means for the terminal to transfer data to a server;

[1788] A means for the server to store and analyze the data in a database;

[1789] A means for the server to generate a control command based on the data analysis result;

[1790] means for transmitting the generated control command to a terminal;

[1791] means for the terminal to transfer control instructions to the device and automatically adjust the operation of the device;

[1792] A system that includes a means for monitoring the location of the device, the condition of the cargo, and the surrounding environment, and generating optimal routes and operating instructions based on this data.

[1793] (Claim 2)

[1794] 2. The system according to claim 1, further comprising means for providing a user interface that enables a user to check the current status and abnormal conditions of the system.

[1795] (Claim 3) ...

Claims

1. a means for monitoring device status data obtained from sensors in real time; means for transmitting the acquired data to a terminal; A means for the terminal to transfer data to a server; A means for the server to store and analyze the data in a database; A means for the server to generate a control command based on the data analysis result; means for transmitting the generated control command to a terminal; A system including a means by which a terminal transfers control instructions to a device and automatically coordinates the operation of the device.

2. 2. The system according to claim 1, further comprising means for providing a user interface that enables a user to check the current state and abnormal conditions of the system.

3. 2. The system according to claim 1, wherein the server includes means for reflecting setting changes from the user in real time and for reflecting the changes in the operation of the device.

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