System

Abstract

An object of a system according to an embodiment is to efficiently and continuously maintain disaster countermeasures at home.SOLUTION: A system according to an embodiment includes a stockpile list creation unit, an evacuation route selection unit, an information share unit, a fire evacuation program provision unit, and an expiration date management unit. The stockpile list creation part creates a stockpile list according to the situation of the household. The evacuation route selection unit selects an evacuation route based on the hazard map and the position information of the home and the workplace. The information sharing unit shares the selected evacuation route and the stockpile list with all the family members. The fire evacuation program providing unit provides fire evacuation program in the event of disasters. The use-by date management unit manages the use-by date of food and proposes replacement.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] With conventional technology, it is difficult to maintain perfect disaster prevention measures at home at all times, and there is room for improvement.

[0005] The system according to the embodiment aims to efficiently and continuously maintain disaster prevention measures at home. [Means for solving the problem]

[0006] The system according to the embodiment includes an emergency supplies list creation unit, an evacuation route selection unit, an information sharing unit, an evacuation procedure provision unit, and an expiration date management unit. The emergency supplies list creation unit creates an emergency supplies list according to the household situation. The evacuation route selection unit selects an evacuation route based on a hazard map and location information of the home and workplace. The information sharing unit shares the selected evacuation route and emergency supplies list with all family members. The evacuation procedure provision unit provides evacuation procedures in the event of a disaster. The expiration date management unit manages food expiration dates and suggests replacement purchases. [Effects of the Invention]

[0007] The system according to the embodiment can efficiently and continuously maintain disaster prevention measures at home. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A disaster preparedness system according to an embodiment of the present invention is a system for efficiently and thoroughly maintaining disaster preparedness at home. This system creates a list of emergency supplies according to the household situation, selects an evacuation route based on a hazard map and location information for the home and workplace, shares the selected evacuation route and emergency supply list with all family members, provides evacuation procedures in the event of a disaster, manages food expiration dates, and suggests replacement purchases. In this way, the disaster preparedness system can efficiently and thoroughly maintain disaster preparedness at home.

[0029] A disaster preparedness system according to an embodiment includes an emergency supplies list creation unit, an evacuation route selection unit, an information sharing unit, an evacuation procedure provision unit, and an expiration date management unit. The emergency supplies list creation unit creates an emergency supplies list tailored to the household situation. For example, it lists food, water, medicine, and other necessities based on the number of family members, their ages, and special needs. The evacuation route selection unit selects an evacuation route based on a hazard map and home and workplace location information. For example, it suggests a route to a safe evacuation site that avoids areas with a high risk of flooding or earthquakes. The information sharing unit shares the selected evacuation route and emergency supplies list with all family members. For example, it allows all family members to access the information through a dedicated app or website. The evacuation procedure provision unit provides evacuation procedures in the event of a disaster. For example, it lists initial responses and evacuation precautions in the event of an earthquake. The expiration date management unit manages food expiration dates and suggests replacement purchases. For example, it sends replacement reminders for food with an expiration date approaching within one month. As a result, the disaster prevention system according to the embodiment can efficiently and thoroughly maintain disaster prevention measures at home. For example, lists of evacuation routes and emergency supplies are always kept up to date, enabling a prompt and appropriate response in the event of a disaster. In addition, by managing food expiration dates, emergency supplies can be maintained without waste.

[0030] The emergency supply list creation unit can create an emergency supply list based on the health status and allergy information of the household. For example, the emergency supply list creation unit inputs the health status and allergy information of all family members, and the generation AI uses this information to create a list of appropriate foods and medicines. For example, if there is a family member with an allergy, it selects foods that do not contain that ingredient. This makes it possible to create an emergency supply list that takes into account the health status and allergy information of the household.

[0031] The emergency stockpile list creation unit can analyze past disaster data and provide an emergency stockpile list based on the disaster risks specific to the region. For example, the generation AI analyzes past disaster data and lists emergency stockpile items to deal with the disaster risks specific to the region. For example, in areas where flooding occurs frequently, it suggests waterproof sheets and pumps. This makes it possible to provide an emergency stockpile list based on the disaster risks specific to the region.

[0032] The emergency supply list creation unit simultaneously creates an emergency supply list for pets, comprehensively covering the needs of the entire family. For example, the emergency supply list creation unit inputs the type and number of pets in the family, and the generation AI uses this information to create a list of food and medicines for pets. For example, it suggests dog food for dogs and cat food for cats. This allows an emergency supply list for pets to be created simultaneously, comprehensively covering the needs of the entire family.

[0033] The emergency stockpile list creation unit provides an emergency stockpile list that corresponds to seasonal climate change and can suggest items needed for each season. For example, the generation AI in the emergency stockpile list creation unit creates an emergency stockpile list that corresponds to seasonal climate change. For example, in the summer it suggests heatstroke prevention products and cooling sheets. This allows the emergency stockpile list to be provided that corresponds to seasonal climate change and suggests items needed for each season.

[0034] The evacuation route selection unit can dynamically update the optimal evacuation route by taking real-time traffic information into account. For example, the generation AI collects real-time traffic information and dynamically updates the optimal evacuation route. For example, it recalculates the evacuation route based on information on traffic congestion and road closures. This allows the optimal evacuation route to be dynamically updated by taking real-time traffic information into account.

[0035] The evacuation route selection unit can provide information on safe rest points along the evacuation route and the congestion status of evacuation shelters. For example, the generation AI can list safe rest points along the evacuation route and make them available during evacuation. For example, it can suggest safe places such as parks and plazas. This makes it possible to provide information on safe rest points along the evacuation route and the congestion status of evacuation shelters.

[0036] The evacuation route selection unit can provide location information of medical facilities and pharmacies along the evacuation route to support medical support in an emergency. For example, the generation AI can provide location information of medical facilities and pharmacies along the evacuation route to support medical support in an emergency. For example, it can list the addresses and contact information of the nearest hospitals and pharmacies. This can provide location information of medical facilities and pharmacies along the evacuation route to support medical support in an emergency.

[0037] The evacuation route selection unit can evaluate the availability of public transportation along the evacuation route and propose the optimal evacuation method. For example, the generation AI collects information on the operation status of public transportation along the evacuation route in real time and proposes the optimal evacuation method. For example, it provides information on buses and trains currently in operation. This allows the unit to evaluate the availability of public transportation along the evacuation route and propose the optimal evacuation method.

[0038] The information sharing unit automatically synchronizes information with all family members' smart devices, allowing the latest information to be shared at all times. For example, the generation AI automatically synchronizes information with all family members' smart devices, allowing the latest information to be shared at all times. For example, it automatically updates evacuation routes and emergency supply lists. This allows the information to be automatically synchronized with all family members' smart devices, allowing the latest information to be shared at all times.

[0039] The information sharing unit can share information at the optimal timing, taking into account the family's schedules. For example, the generation AI analyzes the schedules of all family members and shares information at the optimal timing. For example, information is sent during times when all family members are at home. This allows information to be shared at the optimal timing, taking into account the family's schedules.

[0040] The information sharing unit shares information through the SNS accounts of all family members, diversifying means of communication in an emergency. For example, the generation AI shares information through the SNS accounts of all family members, diversifying means of communication in an emergency. For example, evacuation routes and emergency supply lists can be shared through Facebook and Twitter. This allows information to be shared through the SNS accounts of all family members, diversifying means of communication in an emergency.

[0041] The information sharing unit shares the location information of all family members in real time, supporting a rapid response in an emergency. For example, the generation AI shares the location information of all family members in real time, supporting a rapid response in an emergency. For example, the current locations of family members are displayed on a map. This allows the location information of all family members to be shared in real time, supporting a rapid response in an emergency.

[0042] The evacuation procedure provision unit can provide evacuation procedures customized for each type of disaster and indicate specific guidelines for action. For example, the generation AI can provide evacuation procedures customized for each type of disaster and indicate specific guidelines for action. For example, it can list initial responses in the event of an earthquake and points to note when evacuating. This makes it possible to provide evacuation procedures customized for each type of disaster and indicate specific guidelines for action.

[0043] The evacuation procedure provision unit can provide evacuation procedures in the form of videos or animations to make them visually easier to understand. For example, the generation AI can provide evacuation procedures in the form of videos or animations to make them visually easier to understand. For example, a video can be used to explain the initial response in the event of an earthquake and points to note when evacuating. This allows the evacuation procedures to be provided in the form of videos or animations to make them visually easier to understand.

[0044] The evacuation procedure provision unit provides evacuation procedures in multiple languages, making it possible to accommodate family members who speak different languages. For example, the generation AI provides evacuation procedures in multiple languages, making it possible to accommodate family members who speak different languages. For example, the evacuation procedure is explained in English and Chinese. This makes it possible to provide evacuation procedures in multiple languages, making it possible to accommodate family members who speak different languages.

[0045] The expiration date management unit automatically adds food that is approaching its expiration date to an online shopping cart, making it easy to replace it. For example, the generation AI automatically adds food that is approaching its expiration date to an online shopping cart, making it easy to replace it. For example, food that is within one month of its expiration date is automatically added to the cart. This allows food that is approaching its expiration date to be automatically added to an online shopping cart, making it easy to replace it.

[0046] The expiration date management unit can suggest substitutes for food that is approaching its expiration date, minimizing waste. For example, the generative AI can suggest new canned food instead of canned food that is approaching its expiration date. This makes it possible to suggest substitutes for food that is approaching its expiration date, minimizing waste.

[0047] The expiration date management unit can convert food that is approaching its expiration date into recipes and make suggestions for using it in home cooking. For example, the generation AI can convert food that is approaching its expiration date into recipes and make suggestions for using it in home cooking. For example, it can suggest a recipe for soup using vegetables that are approaching their expiration date. This makes it possible to convert food that is approaching its expiration date into recipes and make suggestions for using it in home cooking.

[0048] The expiration date management unit can suggest ways to donate food that is approaching its expiration date to a local food bank, thereby promoting social contribution. For example, the generation AI can provide information on the food bank to which donations should be made. This can suggest ways to donate food that is approaching its expiration date to a local food bank, thereby promoting social contribution.

[0049] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0050] The disaster prevention system can also be equipped with an energy management unit that optimizes home energy consumption. The energy management unit monitors home power consumption in real time and proposes an optimal energy usage plan to ensure necessary power in the event of a disaster. For example, it can prioritize power supply to important home appliances (refrigerators, medical equipment, etc.) in the event of a disaster, thereby reducing unnecessary power consumption. It can also recommend the use of solar power generation systems and storage batteries to increase energy self-sufficiency in the event of a disaster. This will stabilize the home's energy supply and maintain quality of life in the event of a disaster.

[0051] The disaster prevention system can also be equipped with a security management unit to improve safety within the home. The security management unit integrates security cameras and sensors within the home to detect intrusions by suspicious individuals and the outbreak of fires during disasters. For example, it monitors the opening and closing of doors and windows, and issues an alert if it detects any suspicious activity. In addition, if the fire sensor detects smoke or high temperatures, it immediately sounds an alarm and provides evacuation instructions. This improves safety within the home during disasters and increases the sense of security for families.

[0052] The disaster prevention system can also be equipped with a communication support unit to facilitate smooth communication within the home. The communication support unit diversifies the means of communication between family members and supports rapid information sharing in the event of a disaster. For example, voice messages and video calls can be used to allow all family members to share the situation in real time. It can also automatically update the emergency contact list in the event of a disaster and quickly provide necessary information. This facilitates communication between family members in the event of a disaster and enables a rapid response.

[0053] The disaster preparedness system can also be equipped with a health management section to support health management within the home. The health management section monitors the health status of all family members and provides advice on minimizing health risks during a disaster. For example, it creates a list of necessary medications for family members with chronic illnesses and reminds them to take them regularly. It also suggests stress management and nutritionally balanced meals during a disaster. This allows the whole family to maintain their health during a disaster and live safely in evacuation shelters.

[0054] The disaster response system can further include an education support unit to support education at home. The education support unit creates a learning environment for children in the event of a disaster and helps them continue their education. For example, it can use an online learning platform to allow them to take school classes remotely. It can also provide psychological support in the event of a disaster and suggest activities to reduce children's stress. This makes it possible to create a learning environment for children in the event of a disaster and help them continue their education.

[0055] The processing flow of the first embodiment will be briefly explained below.

[0056] Step 1: The emergency supplies list creator creates an emergency supplies list tailored to the household situation, including food, water, medicine, and other essentials based on the number of family members, their ages, and special needs. Step 2: The evacuation route selection module selects an evacuation route based on the hazard map and the location information of the home and workplace. For example, it suggests a route to a safe evacuation site that avoids areas with a high risk of flooding or earthquakes. Step 3: The information sharing team shares the selected evacuation route and emergency supplies list with all family members, for example, by making it accessible to all family members through a dedicated app or website. Step 4: The evacuation procedure provider provides evacuation procedures in the event of a disaster. For example, it lists the initial response and points to note when evacuating in the event of an earthquake. Step 5: The expiration date management unit manages the expiration dates of food and makes replacement purchase suggestions. For example, it sends a replacement reminder for food whose expiration date is approaching within one month.

[0057] (Example 2) A disaster preparedness system according to an embodiment of the present invention is a system for efficiently and thoroughly maintaining disaster preparedness at home. This system creates a list of emergency supplies according to the household situation, selects an evacuation route based on a hazard map and location information for the home and workplace, shares the selected evacuation route and emergency supply list with all family members, provides evacuation procedures in the event of a disaster, manages food expiration dates, and suggests replacement purchases. In this way, the disaster preparedness system can efficiently and thoroughly maintain disaster preparedness at home.

[0058] A disaster preparedness system according to an embodiment includes an emergency supplies list creation unit, an evacuation route selection unit, an information sharing unit, an evacuation procedure provision unit, and an expiration date management unit. The emergency supplies list creation unit creates an emergency supplies list tailored to the household situation. For example, it lists food, water, medicine, and other necessities based on the number of family members, their ages, and special needs. The evacuation route selection unit selects an evacuation route based on a hazard map and home and workplace location information. For example, it suggests a route to a safe evacuation site that avoids areas with a high risk of flooding or earthquakes. The information sharing unit shares the selected evacuation route and emergency supplies list with all family members. For example, it allows all family members to access the information through a dedicated app or website. The evacuation procedure provision unit provides evacuation procedures in the event of a disaster. For example, it lists initial responses and evacuation precautions in the event of an earthquake. The expiration date management unit manages food expiration dates and suggests replacement purchases. For example, it sends replacement reminders for food with an expiration date approaching within one month. As a result, the disaster prevention system according to the embodiment can efficiently and thoroughly maintain disaster prevention measures at home. For example, lists of evacuation routes and emergency supplies are always kept up to date, enabling a prompt and appropriate response in the event of a disaster. In addition, by managing food expiration dates, emergency supplies can be maintained without waste.

[0059] The emergency supply list creation unit can create an emergency supply list based on the health status and allergy information of the household. For example, the emergency supply list creation unit inputs the health status and allergy information of all family members, and the generation AI uses this information to create a list of appropriate foods and medicines. For example, if there is a family member with an allergy, it selects foods that do not contain that ingredient. This makes it possible to create an emergency supply list that takes into account the health status and allergy information of the household.

[0060] The emergency stockpile list creation unit can analyze past disaster data and provide an emergency stockpile list based on the disaster risks specific to the region. For example, the generation AI analyzes past disaster data and lists emergency stockpile items to deal with the disaster risks specific to the region. For example, in areas where flooding occurs frequently, it suggests waterproof sheets and pumps. This makes it possible to provide an emergency stockpile list based on the disaster risks specific to the region.

[0061] The emergency supplies list creation unit can use the emotion estimation function to evaluate the stress level of the family members and add emergency supplies that are useful for stress reduction to the list. For example, the emergency supplies list creation unit can use the emotion estimation function to evaluate the stress level of the family members and add entertainment items that are useful for stress reduction to the list. For example, it can suggest board games and books. In this way, the stress level of the family members can be evaluated and emergency supplies that are useful for stress reduction can be added to the list.

[0062] The emergency supply list creation unit simultaneously creates an emergency supply list for pets, comprehensively covering the needs of the entire family. For example, the emergency supply list creation unit inputs the type and number of pets in the family, and the generation AI uses this information to create a list of food and medicines for pets. For example, it suggests dog food for dogs and cat food for cats. This allows an emergency supply list for pets to be created simultaneously, comprehensively covering the needs of the entire family.

[0063] The emergency stockpile list creation unit provides an emergency stockpile list that corresponds to seasonal climate change and can suggest items needed for each season. For example, the generation AI in the emergency stockpile list creation unit creates an emergency stockpile list that corresponds to seasonal climate change. For example, in the summer it suggests heatstroke prevention products and cooling sheets. This allows the emergency stockpile list to be provided that corresponds to seasonal climate change and suggests items needed for each season.

[0064] The emergency stockpile list creation unit can use the emotion estimation function to create an emergency stockpile list according to the emotional state of the family members and suggest items that will elicit positive emotions. For example, the emergency stockpile list creation unit can use the emotion estimation function to evaluate the emotional state of the family members and add entertainment items that will elicit positive emotions to the list. For example, it can suggest board games and puzzles that the whole family can enjoy. In this way, it is possible to create an emergency stockpile list according to the emotional state of the family members and suggest items that will elicit positive emotions.

[0065] The evacuation route selection unit can dynamically update the optimal evacuation route by taking real-time traffic information into account. For example, the generation AI collects real-time traffic information and dynamically updates the optimal evacuation route. For example, it recalculates the evacuation route based on information on traffic congestion and road closures. This allows the optimal evacuation route to be dynamically updated by taking real-time traffic information into account.

[0066] The evacuation route selection unit can provide information on safe rest points along the evacuation route and the congestion status of evacuation shelters. For example, the generation AI can list safe rest points along the evacuation route and make them available during evacuation. For example, it can suggest safe places such as parks and plazas. This makes it possible to provide information on safe rest points along the evacuation route and the congestion status of evacuation shelters.

[0067] The evacuation route selection unit can use the emotion estimation function to evaluate the stress level of the family members during evacuation and propose a route to reduce stress. The evacuation route selection unit can, for example, use the emotion estimation function to evaluate the stress level of the family members during evacuation and propose a route to reduce stress. For example, it can select a route that goes through a quiet road or a park. This makes it possible to evaluate the stress level of the family members during evacuation and propose a route to reduce stress.

[0068] The evacuation route selection unit can provide location information of medical facilities and pharmacies along the evacuation route to support medical support in an emergency. For example, the generation AI can provide location information of medical facilities and pharmacies along the evacuation route to support medical support in an emergency. For example, it can list the addresses and contact information of the nearest hospitals and pharmacies. This can provide location information of medical facilities and pharmacies along the evacuation route to support medical support in an emergency.

[0069] The evacuation route selection unit can evaluate the availability of public transportation along the evacuation route and propose the optimal evacuation method. For example, the generation AI collects information on the operation status of public transportation along the evacuation route in real time and proposes the optimal evacuation method. For example, it provides information on buses and trains currently in operation. This allows the unit to evaluate the availability of public transportation along the evacuation route and propose the optimal evacuation method.

[0070] The evacuation route selection unit can use the emotion estimation function to consider the emotional state of the family when selecting an evacuation route and propose a route that gives a sense of security. The evacuation route selection unit, for example, uses the emotion estimation function to evaluate the emotional state of the family when selecting an evacuation route and propose a route that gives a sense of security. For example, a route that goes through a quiet road or a park is selected. In this way, the emotional state of the family can be considered when selecting an evacuation route and a route that gives a sense of security can be proposed.

[0071] The information sharing unit automatically synchronizes information with all family members' smart devices, allowing the latest information to be shared at all times. For example, the generation AI automatically synchronizes information with all family members' smart devices, allowing the latest information to be shared at all times. For example, it automatically updates evacuation routes and emergency supply lists. This allows the information to be automatically synchronized with all family members' smart devices, allowing the latest information to be shared at all times.

[0072] The information sharing unit can share information at the optimal timing, taking into account the family's schedules. For example, the generation AI analyzes the schedules of all family members and shares information at the optimal timing. For example, information is sent during times when all family members are at home. This allows information to be shared at the optimal timing, taking into account the family's schedules.

[0073] The information sharing unit uses the emotion estimation function to suggest an information sharing method according to the emotional state of the family members, thereby reducing stress. For example, the information sharing unit uses the emotion estimation function to evaluate the emotional state of the family members and suggest an information sharing method for reducing stress. For example, information is sent during a time when the family members are able to relax. This allows the information sharing method according to the emotional state of the family members to be suggested, thereby reducing stress.

[0074] The information sharing unit shares information through the SNS accounts of all family members, diversifying means of communication in an emergency. For example, the generation AI shares information through the SNS accounts of all family members, diversifying means of communication in an emergency. For example, evacuation routes and emergency supply lists can be shared through Facebook and Twitter. This allows information to be shared through the SNS accounts of all family members, diversifying means of communication in an emergency.

[0075] The information sharing unit shares the location information of all family members in real time, supporting a rapid response in an emergency. For example, the generation AI shares the location information of all family members in real time, supporting a rapid response in an emergency. For example, the current locations of family members are displayed on a map. This allows the location information of all family members to be shared in real time, supporting a rapid response in an emergency.

[0076] The information sharing unit can use the emotion estimation function to adjust the frequency and method of information sharing according to the emotional state of the family members, thereby providing a sense of security. For example, the information sharing unit uses the emotion estimation function to evaluate the emotional state of the family members, and adjust the frequency and method of information sharing to provide a sense of security. For example, information is shared when emotions are stable. This allows the frequency and method of information sharing to be adjusted according to the emotional state of the family members, providing a sense of security.

[0077] The evacuation procedure provision unit can provide evacuation procedures customized for each type of disaster and indicate specific guidelines for action. For example, the generation AI can provide evacuation procedures customized for each type of disaster and indicate specific guidelines for action. For example, it can list initial responses in the event of an earthquake and points to note when evacuating. This makes it possible to provide evacuation procedures customized for each type of disaster and indicate specific guidelines for action.

[0078] The evacuation procedure providing unit can use the emotion estimation function to evaluate the emotional state of the family members during evacuation and provide advice that gives a sense of security. The evacuation procedure providing unit can, for example, use the emotion estimation function to evaluate the emotional state of the family members during evacuation and provide advice that gives a sense of security. For example, it can suggest methods for deep breathing and stretching to help them relax. This makes it possible to evaluate the emotional state of the family members during evacuation and provide advice that gives a sense of security.

[0079] The evacuation procedure provision unit can provide evacuation procedures in the form of videos or animations to make them visually easier to understand. For example, the generation AI can provide evacuation procedures in the form of videos or animations to make them visually easier to understand. For example, a video can be used to explain the initial response in the event of an earthquake and points to note when evacuating. This allows the evacuation procedures to be provided in the form of videos or animations to make them visually easier to understand.

[0080] The evacuation procedure provision unit provides evacuation procedures in multiple languages, making it possible to accommodate family members who speak different languages. For example, the generation AI provides evacuation procedures in multiple languages, making it possible to accommodate family members who speak different languages. For example, the evacuation procedure is explained in English and Chinese. This makes it possible to provide evacuation procedures in multiple languages, making it possible to accommodate family members who speak different languages.

[0081] The evacuation procedure providing unit can use the emotion estimation function to consider the emotional state of the family members when providing evacuation procedures and suggest a method for reducing stress. For example, the evacuation procedure providing unit can use the emotion estimation function to evaluate the emotional state of the family members when providing evacuation procedures and suggest a method for reducing stress. For example, it can suggest methods for deep breathing and stretching to relax. In this way, it is possible to consider the emotional state of the family members when providing evacuation procedures and suggest a method for reducing stress.

[0082] The expiration date management unit automatically adds food that is approaching its expiration date to an online shopping cart, making it easy to replace it. For example, the generation AI automatically adds food that is approaching its expiration date to an online shopping cart, making it easy to replace it. For example, food that is within one month of its expiration date is automatically added to the cart. This allows food that is approaching its expiration date to be automatically added to an online shopping cart, making it easy to replace it.

[0083] The expiration date management unit can suggest substitutes for food that is approaching its expiration date, minimizing waste. For example, the generative AI can suggest new canned food instead of canned food that is approaching its expiration date. This makes it possible to suggest substitutes for food that is approaching its expiration date, minimizing waste.

[0084] The expiration date management unit uses the emotion estimation function to suggest foods that match the preferences and emotional state of family members, thereby eliciting positive emotions. For example, the expiration date management unit uses the emotion estimation function to evaluate the preferences and emotional state of family members and suggest foods that will elicit positive emotions. For example, it suggests snacks and drinks that the family members like. This makes it possible to suggest foods that match the preferences and emotional state of family members, thereby eliciting positive emotions.

[0085] The expiration date management unit can convert food that is approaching its expiration date into recipes and make suggestions for using it in home cooking. For example, the generation AI can convert food that is approaching its expiration date into recipes and make suggestions for using it in home cooking. For example, it can suggest a recipe for soup using vegetables that are approaching their expiration date. This makes it possible to convert food that is approaching its expiration date into recipes and make suggestions for using it in home cooking.

[0086] The expiration date management unit can suggest ways to donate food that is approaching its expiration date to a local food bank, thereby promoting social contribution. For example, the generation AI can provide information on the food bank to which donations should be made. This can suggest ways to donate food that is approaching its expiration date to a local food bank, thereby promoting social contribution.

[0087] The expiration date management unit uses the emotion estimation function to make food replacement purchase suggestions based on the emotional state of the family members, thereby reducing stress. The expiration date management unit, for example, uses the emotion estimation function to evaluate the emotional state of the family members and makes food replacement purchase suggestions to reduce stress. For example, it suggests relaxing herbal tea or chocolate. This makes it possible to make food replacement purchase suggestions based on the emotional state of the family members and reduce stress.

[0088] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0089] The disaster prevention system can also be equipped with an energy management unit that optimizes home energy consumption. The energy management unit monitors home power consumption in real time and proposes an optimal energy usage plan to ensure necessary power in the event of a disaster. For example, it can prioritize power supply to important home appliances (refrigerators, medical equipment, etc.) in the event of a disaster, thereby reducing unnecessary power consumption. It can also recommend the use of solar power generation systems and storage batteries to increase energy self-sufficiency in the event of a disaster. This will stabilize the home's energy supply and maintain quality of life in the event of a disaster.

[0090] The disaster prevention system can also be equipped with a security management unit to improve safety within the home. The security management unit integrates security cameras and sensors within the home to detect intrusions by suspicious individuals and the outbreak of fires during disasters. For example, it monitors the opening and closing of doors and windows, and issues an alert if it detects any suspicious activity. In addition, if the fire sensor detects smoke or high temperatures, it immediately sounds an alarm and provides evacuation instructions. This improves safety within the home during disasters and increases the sense of security for families.

[0091] The disaster prevention system can also be equipped with a communication support unit to facilitate smooth communication within the home. The communication support unit diversifies the means of communication between family members and supports rapid information sharing in the event of a disaster. For example, voice messages and video calls can be used to allow all family members to share the situation in real time. It can also automatically update the emergency contact list in the event of a disaster and quickly provide necessary information. This facilitates communication between family members in the event of a disaster and enables a rapid response.

[0092] The disaster preparedness system can also be equipped with a health management section to support health management within the home. The health management section monitors the health status of all family members and provides advice on minimizing health risks during a disaster. For example, it creates a list of necessary medications for family members with chronic illnesses and reminds them to take them regularly. It also suggests stress management and nutritionally balanced meals during a disaster. This allows the whole family to maintain their health during a disaster and live safely in evacuation shelters.

[0093] The disaster response system can further include an education support unit to support education at home. The education support unit creates a learning environment for children in the event of a disaster and helps them continue their education. For example, it can use an online learning platform to allow them to take school classes remotely. It can also provide psychological support in the event of a disaster and suggest activities to reduce children's stress. This makes it possible to create a learning environment for children in the event of a disaster and help them continue their education.

[0094] The disaster prevention system can further use the emotion estimation function to evaluate the emotional state of family members and provide evacuation procedures based on their emotions. For example, the evacuation procedure provision unit evaluates the emotional state of family members and proposes evacuation procedures to reduce stress. Specifically, it can play relaxing music during evacuation and suggest deep breathing and stretching techniques. It can also provide psychological support at the evacuation destination so that all family members can live in peace. This makes it possible to evaluate the emotional state of family members using the emotion estimation function and provide evacuation procedures based on their emotions.

[0095] The disaster preparedness system can further use an emotion estimation function to evaluate the emotional state of family members and create an emergency supply list based on their emotions. For example, the emergency supply list creation unit evaluates the emotional state of family members and adds items to the list to reduce stress. Specifically, it suggests relaxing aroma oils and stress relief goods. It also adds entertainment items (such as board games and puzzles) that the whole family can enjoy to the list to reduce stress during a disaster. This allows the emotional estimation function to evaluate the emotional state of family members and create an emergency supply list based on their emotions.

[0096] The disaster prevention system can further use the emotion estimation function to evaluate the emotional state of family members and propose information sharing methods based on their emotions. For example, the information sharing unit evaluates the emotional state of family members and proposes information sharing methods to reduce stress. Specifically, it sends information during times when family members are relaxed and shares important information when they are emotionally stable. It also adjusts the frequency of information sharing according to their emotional state so that all family members can receive information with peace of mind. This makes it possible to evaluate the emotional state of family members using the emotion estimation function and propose information sharing methods based on their emotions.

[0097] The disaster prevention system can further use the emotion estimation function to evaluate the emotional state of family members and propose an evacuation route based on their emotions. For example, the evacuation route selection unit evaluates the emotional state of family members and proposes an evacuation route that reduces stress. Specifically, it selects a route that passes through quiet roads or parks to reduce stress during evacuation. It also suggests safe rest points on the evacuation route so that all family members can evacuate in peace. This makes it possible to evaluate the emotional state of family members using the emotion estimation function and propose an evacuation route based on their emotions.

[0098] The disaster prevention system can further use an emotion estimation function to evaluate the emotional state of family members and manage expiration dates based on their emotions. For example, the expiration date management unit can evaluate the emotional state of family members and suggest food replacements to reduce stress. Specifically, it can suggest relaxing herbal tea or chocolate so that the whole family can enjoy meals with peace of mind. It can also adjust food expiration date management according to the emotional state and maintain stockpiles without waste. This allows the emotion estimation function to evaluate the emotional state of family members and manage expiration dates based on their emotions.

[0099] The processing flow of the second embodiment will be briefly explained below.

[0100] Step 1: The emergency supplies list creator creates an emergency supplies list tailored to the household situation, including food, water, medicine, and other essentials based on the number of family members, their ages, and special needs. Step 2: The evacuation route selection module selects an evacuation route based on the hazard map and the location information of the home and workplace. For example, it suggests a route to a safe evacuation site that avoids areas with a high risk of flooding or earthquakes. Step 3: The information sharing team shares the selected evacuation route and emergency supplies list with all family members, for example, by making it accessible to all family members through a dedicated app or website. Step 4: The evacuation procedure provider provides evacuation procedures in the event of a disaster. For example, it lists the initial response and points to note when evacuating in the event of an earthquake. Step 5: The expiration date management unit manages the expiration dates of food and makes replacement purchase suggestions. For example, it sends a replacement reminder for food whose expiration date is approaching within one month.

[0101] 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.

[0102] 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> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). 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 speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. 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. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0103] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0104] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0105] 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.

[0106] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0107] 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.

[0108] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0109] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0114] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0115] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0116] 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.

[0117] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0118] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0119] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0120] 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.

[0121] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0122] 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.

[0123] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0124] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0129] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0130] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0131] 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.

[0132] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0133] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0134] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0135] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0136] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0137] 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.

[0138] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0139] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0140] 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.

[0141] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the 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.

[0142] 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.

[0143] 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.

[0144] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0145] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0146] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0147] 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.

[0148] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0149] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0150] 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.

[0151] FIG. 9 illustrates 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 behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0152] 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.

[0153] 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).

[0154] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0155] 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."

[0156] 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.

[0157] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0162] The hardware resource that executes the specific process 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 process may be a single processor.

[0163] 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.

[0164] 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.

[0165] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0166] 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.

[0167] 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. [Explanation of symbols]

[0168] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a stockpile list creation unit that creates a stockpile list according to the household situation; An evacuation route selection unit that selects an evacuation route based on the hazard map and the location information of the home and workplace; An information sharing section where the selected evacuation route and emergency supplies list are shared with all family members, an evacuation procedure providing unit that provides evacuation procedures in the event of a disaster; and an expiration date management unit that manages expiration dates of food and makes replacement purchase suggestions. A system characterized by:

2. The stockpile item list creation unit Assess your family's stress levels and add items to your inventory that will help reduce stress. The system of claim 1 .

3. The evacuation route selection unit Dynamically update optimal evacuation routes taking real-time traffic information into account 2. The system of claim 1.

4. The information sharing unit Automatically sync information across all your family's smart devices to keep everyone up to date 2. The system of claim 1.

5. The evacuation procedure providing unit Providing evacuation procedures customized for each type of disaster and providing specific guidelines for action 2. The system of claim 1.

6. The expiration date management unit Automatically add food nearing its expiration date to your online shopping cart, making replacement purchases easier 2. The system of claim 1.

7. The stockpile item list creation unit Create a stockpile list based on the emotional state of the family and suggest items that will elicit positive emotions.

2. The system of claim 1.

8. The evacuation route selection unit When selecting an evacuation route, consider the emotional state of the family and propose a route that gives them a sense of security.

2. The system of claim 1.

Images