System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting and storing information from local producers in a database; means for optimizing the balance of supply and demand based on the producer information stored in the database; means for calculating efficient cooling systems and insulation materials; means for suggesting renewable energy sources; and means for providing environmentally friendly information and educational materials to consumers.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] In order to achieve carbon neutrality, the present invention aims to reduce the energy consumption of refrigerated and frozen transport and reduce carbon dioxide emissions, while optimizing and streamlining the entire food supply chain is required. In addition, sustainable agricultural practices and environmental education for consumers are also important issues, but technology that can achieve these goals in an integrated manner has not yet been provided. Thus, the problem that this invention aims to solve is to achieve carbon neutrality in each process of the food supply chain and build an efficient and sustainable supply system. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides a system having the following configuration: a means for collecting information from local producers and storing it in a database, a means for optimizing the balance between supply and demand based on the producer information stored in the database, a means for calculating efficient cooling systems and insulation materials, a means for suggesting renewable energy sources, and a means for providing environmentally friendly information and educational materials to consumers. The system may also include a means for calculating optimal transportation routes, a means for recommending biodegradable packaging materials, and a means for optimizing recycling processes. This configuration enables carbon neutrality and sustainable operation of the entire food supply chain.

[0006] "Local producers" refers to farmers and producers who produce food within a specific region.

[0007] "Gathering information" refers to the process of obtaining and recording the necessary data and details.

[0008] A "database" refers to a collection of data that is organized to allow information to be managed, searched, and used efficiently.

[0009] "Optimizing the balance between supply and demand" refers to the process of coordinating and efficiently balancing consumer demand with producer supply.

[0010] An "efficient cooling system" is a system that achieves high cooling efficiency while minimizing the energy consumption required for cooling.

[0011] "Thermal insulation material" refers to a material that prevents heat conduction and improves cooling and heat retention performance.

[0012] "Renewable energy sources" refers to energy sources that exist in nature and can be used sustainably, such as solar, wind, and hydropower.

[0013] "Providing environmentally friendly information to consumers" refers to the process of communicating information to consumers to promote environmentally friendly behavior and the use of products.

[0014] "Educational materials" refers to teaching materials, videos, booklets, online courses, etc. for learning specific knowledge or information.

[0015] "Calculating optimal transportation routes" refers to the process of calculating the shortest or most efficient transportation route to a destination.

[0016] "Biodegradable packaging materials" refer to packaging materials that have the property of being decomposed by microorganisms in the natural environment.

[0017] "Optimizing the recycling process" refers to improving the efficiency of procedures for reusing waste materials. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] 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.

[0023] 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.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] 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.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] In the system of the present invention, embodiments based on the following specific examples will be described.

[0040] Collecting information on local producers and storing it in a database

[0041] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[0042] Demand and supply optimization

[0043] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[0044] Efficient cooling systems and optimized transport routes

[0045] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[0046] Proposing renewable energy sources and improving energy efficiency

[0047] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[0048] Reducing plastics and increasing recycling efficiency

[0049] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[0050] consumer education

[0051] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[0052] Specific examples

[0053] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[0054] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[0055] By using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption and contributes to carbon neutrality for the entire region.

[0056] The processing flow will be explained below.

[0057] Collecting information on local producers and registering them in a database

[0058] Step 1:

[0059] The server receives information provided by local growers, including their name, location, and crops grown.

[0060] Step 2:

[0061] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[0062] Step 3:

[0063] The server stores the verified information in a database that contains structured data for efficient future analysis.

[0064] Demand and supply optimization

[0065] Step 1:

[0066] The server reads producer information and local demand data stored in a database.

[0067] Step 2:

[0068] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[0069] Step 3:

[0070] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[0071] Efficient cooling systems and optimized transport routes

[0072] Step 1:

[0073] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[0074] Step 2:

[0075] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[0076] Step 3:

[0077] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[0078] Proposing renewable energy sources and improving energy efficiency

[0079] Step 1:

[0080] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[0081] Step 2:

[0082] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[0083] Step 3:

[0084] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[0085] Reducing plastics and increasing recycling efficiency

[0086] Step 1:

[0087] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[0088] Step 2:

[0089] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[0090] Step 3:

[0091] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[0092] consumer education

[0093] Step 1:

[0094] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[0095] Step 2:

[0096] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[0097] Step 3:

[0098] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[0099] By taking these steps, it is possible to create a carbon-neutral food supply chain across the region that operates efficiently and sustainably.

[0100] Example 1

[0101] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0102] Modern agriculture and food supply chains face multiple challenges, including managing producer information, optimizing the balance between supply and demand, introducing efficient cooling systems, proposing renewable energy, selecting packaging materials and promoting recycling, and educating consumers about the environment. While a system that can efficiently and comprehensively address these challenges is needed, no comprehensive system currently exists that includes all the elements. Therefore, there is a need to provide a system that can comprehensively address these multiple challenges.

[0103] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0104] In this invention, the server includes means for collecting information from producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for recommending biodegradable packaging materials, means for optimizing recycling processes, means for providing environmentally friendly information and educational materials to consumers, means for collecting demand data and storing it in a database, means for inputting the data into a generative AI model using prompt sentences, means for optimizing a supply plan and notifying producers and logistics companies of the plan, and means for calculating optimized cooling parameters and transportation routes and notifying transport companies. This makes it possible to solve multiple agricultural problems in an integrated and efficient manner.

[0105] "Producer information" is data related to agricultural production, including the producer's name, location, crops grown, and yields.

[0106] A "database" is a system that organizes and stores collected information and allows it to be searched and updated as needed.

[0107] "Demand data" is information provided by consumers and stores about the crops needed, the quantity, and the timing of supply.

[0108] "Optimizing the supply and demand balance" is the process of optimally adjusting supply plans based on collected producer information and demand data.

[0109] A "cooling system" is a piece of machinery used to maintain crops and food at the appropriate temperature.

[0110] "Insulating material" means a material used to reduce the transfer of heat and is contemplated for use in cooling systems.

[0111] "Renewable energy sources" refers to sustainable energy sources obtained from nature, such as solar, wind, and hydropower.

[0112] "Biodegradable packaging" is packaging made from materials that are biodegradable in the natural environment.

[0113] A "recycling process" is a series of steps that return used materials to a reusable state.

[0114] "Consumer education" refers to activities that provide consumers with information on environmentally conscious and sustainable consumption behavior and raise their awareness.

[0115] A "generative AI model" is an algorithm or software that uses artificial intelligence technology to generate and optimize data.

[0116] A "prompt sentence" is a sentence containing specific instructions or questions to be input into a generative AI model.

[0117] A "supply plan" is a plan created to achieve efficient supply, taking into account the balance of supply and demand.

[0118] A "transportation route" is the optimal route for transporting goods from a departure point to a destination.

[0119] This invention is a system for comprehensively resolving multiple issues in agriculture and food supply chains. This system functions mainly as a server, terminals, and users.

[0120] The server collects information provided by producers and stores it in a database. This database uses a database management system such as MySQL or PostgreSQL. The server applies an algorithm to optimize the balance between supply and demand based on producer information and demand data. This process uses Python's Pandas library and Scikit-learn.

[0121] The server also calculates efficient cooling systems and insulation materials, providing optimal cooling parameters to ensure proper storage of crops. It also suggests the use of renewable energy sources and recommends the use of biodegradable packaging materials, thereby minimizing the environmental impact.

[0122] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, through a website and mobile app, as well as videos, brochures and online courses.

[0123] The server also collects demand data and stores it in a database. Based on the collected data, the server inputs it into a generative AI model using prompt statements. The generative AI model optimizes the supply plan, and the results are notified to producers and logistics companies. The server also uses the Google Maps API to calculate the optimal transportation route and notify the transportation company.

[0124] Software and hardware used

[0125] Database management systems: MySQL, PostgreSQL

[0126] Programming languages ​​and libraries: Python, Pandas, Scikit-learn

[0127] API: Google Maps API

[0128] Optimization software: HOMER Energy

[0129] Specific examples

[0130] Consider a local vegetable grower, A, who wants to practice sustainable agriculture and improve energy efficiency through efficient refrigerated transport.

[0131] 1. The server receives information about vegetable producer A and stores it in the database.

[0132] 2. Optimize the supply plan based on demand data within the region and notify Farmer A of the plan.

[0133] 3. The server calculates the optimal cooling system and transportation route and notifies the carrier of the details.

[0134] 4. The server proposes to vegetable producer A that they introduce renewable energy sources and encourage the use of biodegradable packaging materials.

[0135] 5. The server provides consumers with environmentally friendly information and related educational materials.

[0136] Example prompt sentence:

[0137] "Please provide an optimization plan to help local vegetable grower A improve energy efficiency while practicing sustainable agriculture and providing efficient refrigerated transportation."

[0138] Using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption, contributing to carbon neutrality for the entire region.

[0139] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0140] Step 1:

[0141] The server collects information from farmers and stores it in a database. Farmers enter information such as their name, location, crops grown, and yield into a web form and click the submit button. The server receives the information and stores it in a database. Specifically, it executes an INSERT statement using MySQL or PostgreSQL. The input is the information provided by the farmer, and the output is a record stored in the database.

[0142] Step 2:

[0143] The server collects demand data provided by consumers and stores and stores it in a database. Consumers and stores input the crops they need, the quantity, the desired supply time, etc. from their terminals and click the send button. The server receives the provided demand data and stores it in a database. The input is the demand data provided by consumers and stores, and the output is the records stored in the database.

[0144] Step 3:

[0145] The server optimizes the supply plan based on producer information and demand data stored in the database. It processes data and executes optimization algorithms using Python's Pandas library and Scikit-learn. It retrieves information from the database and uses the algorithm to calculate the optimal supply plan. The input is producer information and demand data retrieved from the database, and the output is the optimized supply plan.

[0146] Step 4:

[0147] The server notifies the calculated supply plan to producers and logistics companies. The calculation results are converted into email or SMS format and sent as notifications. Producers and logistics companies receive the notifications and take action based on the optimal supply plan. The input is the optimized supply plan, and the output is the sending and receiving of notifications.

[0148] Step 5:

[0149] The server calculates efficient cooling systems and insulation materials. It calculates optimal cooling system parameters based on collected product characteristics (temperature, humidity storage conditions). It obtains the necessary information from the database and applies the algorithm. The input is product characteristics information, and the output is the optimal cooling system parameters.

[0150] Step 6:

[0151] The server uses the Google Maps API to calculate the optimal transportation route. It calculates the route between the origin and destination and optimizes it using real-time traffic information. The input is the origin and destination information, and the output is the optimal transportation route.

[0152] Step 7:

[0153] The server proposes renewable energy sources to producers and warehouses, and creates an energy efficiency optimization plan using software such as HOMER Energy. The input is energy usage information and design parameters, and the output is an optimized energy efficiency plan.

[0154] Step 8:

[0155] The server recommends biodegradable packaging materials and optimizes the recycling process. It manages data on recyclable materials and calculates the optimal packaging materials and recycling methods. The input is information on recyclable materials, and the output is the optimal packaging materials and recycling methods.

[0156] Step 9:

[0157] The server provides consumers with environmentally conscious information and educational materials. It provides information through websites and mobile apps, and creates and provides videos, brochures, and online courses. The input is the content of the educational materials, and the output is the information provided to consumers.

[0158] Step 10:

[0159] The server uses the prompt sentence to input into the generative AI model and generate an optimal supply plan. A supply plan is generated by creating a prompt sentence and inputting it into the generative AI model. The input is the prompt sentence, and the output is the generated supply plan.

[0160] In this way, by performing the necessary data processing and calculations at each step, the system will help realize efficient and sustainable agriculture and food supply chains.

[0161] (Application example 1)

[0162] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0163] There is a need to optimize agricultural supply chains and improve sustainability and energy efficiency through information collection and database management from local producers. However, existing systems do not adequately manage producer information centrally, optimize the balance between supply and demand, calculate efficient cooling systems and transportation routes, propose renewable energy sources, or educate consumers. Furthermore, efficient logistics management is difficult because they do not utilize generative AI models to propose supply plans or notify optimization results via smartphone applications. These issues must be resolved.

[0164] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0165] In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for notifying a smartphone application of the results of the algorithm for optimizing the balance between supply and demand, means for notifying the smartphone of optimal cooling system settings and transportation routes, and means for the generative AI model to propose a supply plan based on prompt text, thereby enabling optimization of the agricultural product supply chain, improved sustainability, and efficient logistics management.

[0166] "Local producer" refers to an individual or entity that produces agricultural or other products within a specific geographic area.

[0167] "Gathering information" refers to compiling, recording, and storing specific data or knowledge.

[0168] A "database" refers to a computer system or software for organizing, efficiently accessing, and managing data.

[0169] "Optimizing the supply balance" refers to eliminating the imbalance between supply and demand and building the most efficient and economical supply system.

[0170] An "algorithm" refers to a set of computational steps or processing rules for solving a particular problem.

[0171] "Efficient cooling systems" refers to a general term for cooling equipment and refrigeration technologies that maintain the right temperature while saving energy.

[0172] "Insulating material" refers to a material used to inhibit the conduction of heat and minimize temperature changes.

[0173] "Renewable energy sources" refer to energy sources such as solar, wind, and hydroelectric power that can be used once and then continue to be regenerated.

[0174] "Consumer education" refers to educational activities aimed at providing consumers with knowledge and raising their awareness about environmental considerations and sustainability.

[0175] "Smartphone application" refers to a software program that runs on a smartphone.

[0176] A "generative AI model" refers to a system that uses artificial intelligence algorithms to generate outputs based on specific inputs.

[0177] A "prompt" refers to an instruction or question that is input into a generative AI model.

[0178] "Proposing a supply plan" refers to making a proposal that specifically indicates the optimal supply method and procedures.

[0179] "Means of notification" refers to the methods and techniques used to communicate specific information to interested parties.

[0180] The system in this example collects information from local producers, stores it in a database, optimizes the balance between supply and demand, calculates efficient cooling systems and insulation materials, suggests renewable energy sources, educates consumers, notifies them of the optimization results via a smartphone application, and proposes a supply plan using a generative AI model.

[0181] Collecting producer information and storing it in a database

[0182] The server receives information entered by local producers and stores it in a database, including the producer's name, location, contact information, product type and quantity, etc. The data is managed using the Django framework.

[0183] Optimizing the balance between supply and demand

[0184] The server runs an algorithm to optimize the balance between supply and demand based on producer information and local demand data in the database. The optimization results are notified to local producers and logistics companies. The optimization algorithm is implemented using Python and provides a supply plan for each individual demand amount.

[0185] Calculation of efficient cooling systems and insulation materials

[0186] The server calculates the most efficient cooling system and insulation materials and notifies the logistics company of the results. The cooling system calculates parameters to minimize energy consumption and preserve the crops in optimal conditions.

[0187] Proposal of renewable energy sources

[0188] The server will advise growers on the adoption of renewable energy sources, including the installation of solar panels and wind turbines, and will also provide designs for energy-efficient heating and cooling systems.

[0189] consumer education

[0190] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational videos and online courses on carbon-neutral food supply chains.

[0191] Notification of optimization results to smartphone application

[0192] The server notifies the smartphone application of information such as the results of optimizing the balance between supply and demand, efficient cooling system settings, optimal transportation routes, etc. This notification function makes it possible to communicate optimization results to relevant parties in real time.

[0193] Supply planning proposals using generative AI models

[0194] The server uses a generative AI model to propose a supply plan. It generates the optimal supply method based on a prompt statement and provides it to producers and logistics companies. The prompt statement has the following format:

[0195] Prompt Sentence Examples

[0196] "Propose a plan to optimize the balance between supply and demand for tomatoes in the region Tokyo."

[0197] In this way, a system with a wide range of functions can optimize agricultural supply chains and improve sustainability.

[0198] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0199] Step 1:

[0200] Local producers enter their information into a smartphone application, including the producer's name, location, contact information, product type, and quantity. The data entered by the producer is sent to a server via the application.

[0201] Step 2:

[0202] The server stores the received producer information in a database. The database has a table for managing individual producer information using the Django framework. The input data is saved in the appropriate fields for later use.

[0203] Step 3:

[0204] The server collects and stores regional demand data in a database, which includes the consumer needs for specific products in each region, and this data is also stored in a separate table in the database.

[0205] Step 4:

[0206] The server runs an algorithm to optimize the balance between supply and demand based on producer information and demand data stored in the database. The input data are producer information and demand data, and the output data is an optimized supply plan. The optimization algorithm is implemented in Python and calculates the matching of supply and demand and the supply schedule.

[0207] Step 5:

[0208] The server then sends the optimized supply plan to the smartphone application. This notification includes the products that each producer should supply, their quantities, destinations, and supply times. Producers can check their own supply plans through the application.

[0209] Step 6:

[0210] The server runs an algorithm to calculate the most efficient cooling system and insulation materials. The input data is the characteristics of the product being transported and the required storage conditions, and the output data is the optimal cooling system and insulation material settings. The calculation results are notified to the logistics company via a smartphone application.

[0211] Step 7:

[0212] The server then makes suggestions to farmers on how to install renewable energy sources (e.g., solar panels or wind power), including recommendations for energy-efficient lighting systems and heating and cooling systems. The suggestions are then communicated to the farmers via the application.

[0213] Step 8:

[0214] The server provides consumers with environmentally friendly information and educational materials, including how to use reusable bags, advice on reducing food waste, and educational videos and online courses on carbon-neutral food supply chains, which consumers can view within the app.

[0215] Step 9:

[0216] The server inputs the prompt into the generative AI model to propose a supply plan. An example of a prompt is, "Please propose a plan that optimizes the balance between supply and demand for tomatoes in the Tokyo region." The generative AI model generates an optimal supply plan based on this prompt and returns the result to the server.

[0217] Step 10:

[0218] The server stores the supply plan received from the generative AI model in a database and notifies the plan to producers and logistics companies, allowing producers to implement optimal supply methods and logistics companies to ensure efficient delivery.

[0219] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0220] In the system of the present invention, embodiments based on the following specific examples will be described.

[0221] Collecting information on local producers and storing it in a database

[0222] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[0223] Demand and supply optimization

[0224] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[0225] Efficient cooling systems and optimized transport routes

[0226] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[0227] Proposing renewable energy sources and improving energy efficiency

[0228] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[0229] Reducing plastics and increasing recycling efficiency

[0230] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[0231] consumer education

[0232] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[0233] Introducing the Emotion Engine

[0234] The server recognizes the user's emotions using an emotion engine, which analyzes the emotional state of the consumer when receiving information.

[0235] Customized information provision based on emotions

[0236] The server uses an emotion engine to collect emotional data about the consumer and customizes the information and educational materials it provides based on that emotion. For example, if the consumer is feeling stressed, it will select a method of providing information that will help them relax.

[0237] Analyzing emotional data and optimizing information delivery methods

[0238] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[0239] Specific examples

[0240] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[0241] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[0242] Using the emotion engine, the server collects and analyzes consumer emotion data and provides optimal information according to the consumer's emotional state. It also utilizes feedback from the emotion engine to continuously optimize the way information is provided.

[0243] By using this system, vegetable producer A can supply food in a sustainable way that minimizes energy consumption, provide services that are responsive to consumer sentiment, and contribute to carbon neutrality for the entire region.

[0244] The processing flow will be explained below.

[0245] Collecting information on local producers and storing it in a database

[0246] Step 1:

[0247] The server receives information provided by local growers, including their name, location, and crops grown.

[0248] Step 2:

[0249] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[0250] Step 3:

[0251] The server stores the verified information in a database that contains structured data for efficient future analysis.

[0252] Demand and supply optimization

[0253] Step 1:

[0254] The server reads producer information and local demand data stored in a database.

[0255] Step 2:

[0256] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[0257] Step 3:

[0258] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[0259] Efficient cooling systems and optimized transport routes

[0260] Step 1:

[0261] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[0262] Step 2:

[0263] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[0264] Step 3:

[0265] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[0266] Proposing renewable energy sources and improving energy efficiency

[0267] Step 1:

[0268] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[0269] Step 2:

[0270] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[0271] Step 3:

[0272] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[0273] Reducing plastics and increasing recycling efficiency

[0274] Step 1:

[0275] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[0276] Step 2:

[0277] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[0278] Step 3:

[0279] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[0280] consumer education

[0281] Step 1:

[0282] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[0283] Step 2:

[0284] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[0285] Step 3:

[0286] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[0287] Introducing the Emotion Engine

[0288] Step 1:

[0289] The server uses an emotion engine to recognize the user's emotions, which is done to capture the user's emotional state in real time as they receive information.

[0290] Step 2:

[0291] The server stores the collected emotion data in a database and continuously analyzes it.

[0292] Step 3:

[0293] The server grasps the trends and fluctuations of emotions based on the user's emotional data.

[0294] Customized information provision based on emotions

[0295] Step 1:

[0296] The server uses the emotion engine to collect data on the user's emotions and customizes the information and educational materials it provides. For example, if the user is feeling stressed, it will provide relaxing content.

[0297] Step 2:

[0298] The server provides the user with customized information that is tailored to help the user learn most effectively.

[0299] Analyzing emotional data and optimizing information delivery methods

[0300] Step 1:

[0301] The server analyzes the user's emotional data and evaluates the effectiveness of the environmentally conscious information and educational materials provided.

[0302] Step 2:

[0303] The server optimizes the information presentation method based on the evaluation results. For example, it analyzes how specific information affected the user and adjusts the information presentation method to maximize its effect.

[0304] Step 3:

[0305] The server implements an optimized information providing method and continuously provides effective information to the user.

[0306] As a result, this system can realize a carbon-neutral food supply and provide optimal information according to the user's emotions.As a specific example, there is a case where vegetable producer A improved energy efficiency, provided emotional services, and achieved a sustainable food supply.

[0307] Example 2

[0308] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0309] Modern agricultural production requires optimizing the balance of supply and demand between producers and consumers, and achieving efficient logistics and energy management. It is also important to select packaging materials that take environmental considerations into account and to increase recycling efficiency. Furthermore, it is desirable to improve consumer satisfaction by providing information tailored to consumer sentiment. However, systems for centrally managing and optimizing these aspects are not widely available. Therefore, there is a need for a comprehensive system that can handle everything from collecting information on local producers to optimizing logistics, considering the environment, and providing information based on consumer sentiment.

[0310] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulating materials, means for proposing renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for collecting and analyzing user emotion data, and means for customizing the information to be provided based on the user emotion data. This enables efficient data management of local producers, optimization of supply and demand, and further improvement of environmental friendliness and consumer satisfaction.

[0311] "Producer information" is data provided by local producers, such as their names, addresses, and crop types.

[0312] The "means for optimizing the balance between supply and demand" refers to an algorithm and its execution environment that optimizes supply plans based on producer information and demand data.

[0313] An "efficient cooling system" is one that calculates and applies effective cooling methods and set temperatures to maintain product integrity during transport.

[0314] "Insulating materials" are materials used to improve the effectiveness of cooling systems, helping to control temperature while minimizing energy consumption.

[0315] "Renewable energy sources" refers to energy sources that can be obtained sustainably from the natural environment, such as solar power and wind power.

[0316] "Environmental information" is information provided to consumers that contributes to environmental protection, such as using reusable products and reducing food waste.

[0317] "Educational materials" are content such as educational videos, brochures, and online courses that promote environmentally friendly behavior.

[0318] "User emotional data" refers to data that indicates the user's emotional state and is information obtained using facial recognition or other emotional analysis techniques.

[0319] The "means for customizing the information provided" refers to a method for optimizing the content and format of the information and educational materials provided based on the collected emotional data of the user.

[0320] The system of the present invention consistently executes all processes, from collecting information on local producers to optimizing supply plans and providing information to consumers, enabling efficient distribution and information exchange between local producers and consumers.

[0321] 1. Collecting information on local producers and storing it in a database

[0322] The server receives information provided by local producers and stores it in a database. This process uses, for example, a Windows Server or Linux-based server system and a database management system such as MySQL or PostgreSQL. When producers use their devices (PCs or smartphones) to enter information into a dedicated web form and press the submit button, the server receives the information and stores it in the database.

[0323] 2. Optimizing supply and demand

[0324] The server retrieves producer information from a database and combines it with demand data. The server then applies an algorithm to optimize the balance between supply and demand. This algorithm is often implemented in Python or R, for example. The optimized plan is then communicated to producers and logistics companies. The algorithm for creating the supply plan may use linear programming.

[0325] 3. Efficient cooling systems and optimized transport routes

[0326] The server calculates the optimal parameters for refrigerated and frozen transport. This process uses data from temperature sensors and cooling system specifications. It also uses the Google Maps API to calculate the shortest and most efficient transport route. The results are then sent to the logistics company as detailed instructions.

[0327] 4. Proposing renewable energy sources and improving energy efficiency

[0328] The server collects and analyzes energy consumption data from producers and suggests the introduction of renewable energy sources, including simulating the installation of solar and wind power plants, as well as designing energy-efficient heating and cooling systems to minimize energy consumption.

[0329] 5. Reducing plastics and improving recycling efficiency

[0330] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and proposes optimal recycling methods and provides specific implementation plans to optimize the recycling process.

[0331] 6. Consumer education

[0332] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational materials (such as instructional videos, brochures, and online courses) on carbon-neutral food supply chains.

[0333] 7. Introducing an emotion engine and customizing information provision based on emotions

[0334] The server uses an emotion engine to recognize the user's emotions. This analyzes the emotional state of the consumer when receiving information, and typically uses a facial recognition API (e.g., Microsoft Azure Face API or Amazon Rekognition). Based on the results of the emotion engine, the server can customize the content of information and educational materials provided to consumers in a way that helps reduce their stress.

[0335] 8. Analyzing emotional data and optimizing information delivery methods

[0336] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[0337] Specific examples

[0338] As a concrete example, consider a case where a local vegetable producer A wants to practice sustainable agriculture, efficiently transport produce, and improve energy efficiency. Producer A inputs information from a terminal, which the server receives and stores in a MySQL database. The server then optimizes a supply plan based on demand data within the region and notifies Producer A of the plan. Next, it calculates a cooling system and transportation route, and notifies the carrier of the details. Furthermore, the server suggests to Producer A that they introduce renewable energy sources and recommend the use of biodegradable packaging materials. Finally, it provides consumers with environmentally friendly information and related educational materials.

[0339] Prompt Sentence Examples

[0340] A personalized prompt might be, "I'd like to know how to recycle used plastic packaging" or "What courses can I take to learn about sustainable agriculture?"

[0341] In this way, the system of the present invention enables efficient supply chains and information exchange between local producers and consumers, improving environmental friendliness and consumer satisfaction.

[0342] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0343] Step 1:

[0344] The server receives information (such as name, address, and type of crop) entered by local producers from their devices and stores it in a database. Specifically, producers enter information into a dedicated web form on their devices (PCs or smartphones) and press the submit button. This sends the entered data to the server. The server receives this data, checks for formatting and duplicates, and then stores it in a MySQL database.

[0345] Input: Producer information (name, address, type of crop, etc.)

[0346] Output: Producer information stored in the database

[0347] Step 2:

[0348] The server retrieves producer information from the database and combines it with demand data to optimize the balance between supply and demand. It uses a Python script to run an optimization algorithm and create a supply plan. The optimized supply plan is then notified to producers and logistics companies. Specifically, the server uses SQL queries to retrieve the necessary information from the database, combines it with demand forecast data (market data, etc.), and applies the algorithm.

[0349] Input: Producer information and demand data obtained from the database

[0350] Output: Optimized supply plan

[0351] Step 3:

[0352] The server calculates the optimal parameters for refrigerated and frozen transport. This uses temperature sensor and cooling system specification data. It then uses Google Maps API to calculate the shortest and most efficient transport route. The calculation results are sent to the logistics company. Specifically, the server receives data from the sensors and calculates the optimal set temperature based on the cooling system specifications. It then uses Google Maps API to calculate the optimal transport route and notifies the logistics company of the results.

[0353] Input: Temperature sensor data, cooling system specification data

[0354] Output: Optimal cooling parameters and transport routes

[0355] Step 4:

[0356] The server collects and analyzes energy consumption data from producers and proposes the introduction of renewable energy sources. Specifically, it acquires smart meter data, analyzes consumption patterns, and performs simulations of solar and wind power generation. The results are then notified to producers.

[0357] Input: Smart meter data

[0358] Output: Proposed introduction of renewable energy sources

[0359] Step 5:

[0360] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and also proposes optimal recycling methods and provides specific implementation plans.

[0361] Input: Database of packaging materials

[0362] Output: Implementation plan for recommended packaging materials and recycling methods

[0363] Step 6:

[0364] The server will provide consumers with environmentally friendly information and educational materials, such as information on using reusable bags and reducing food waste, via a website and app, as well as creating and distributing educational videos and pamphlets online.

[0365] Input: Environmental considerations information

[0366] Output: Consumer education materials

[0367] Step 7:

[0368] The server uses an emotion engine to recognize the user's emotions. It uses a facial recognition API to analyze the user's facial image and evaluate their emotional state. Based on the results, it customizes the way it presents information. Specifically, it selects a relaxing way of presenting information to reduce stress based on the emotional data.

[0369] Input: User's face image

[0370] Output: Emotion data

[0371] Step 8:

[0372] The server analyzes the collected user emotion data using an emotion engine and evaluates the effectiveness of the environmentally conscious information and educational materials provided. Based on the evaluation results, the information delivery method is optimized. Specifically, the emotion data is recorded in a log and the content delivery method is improved based on the effectiveness analysis.

[0373] Input: Emotion data

[0374] Output: Optimized information presentation

[0375] (Application example 2)

[0376] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0377] Modern society demands the creation of sustainable food supply chains and consideration for the environment. However, providing consumers with sustainable options and effectively educating them about them is a difficult task. It is particularly important to understand consumers' emotional state and provide information at the right time and through the right means. Collecting and managing information from local producers, optimizing supply and demand, streamlining cooling systems, promoting renewable energy, and reducing plastics are also important. The challenge of this invention is to integrate these complex elements and provide an effective system.

[0378] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0379] In this invention, the server includes: means for collecting information from local producers and storing it in a database; means for optimizing the balance between supply and demand based on the producer information stored in the database; means for calculating efficient cooling systems and insulation materials; means for suggesting renewable energy sources; means for providing environmentally conscious information and educational materials to consumers; an emotion engine for collecting and analyzing consumer emotion data; and means for customizing the information and educational materials provided based on the emotion data. This enables the provision of customized environmental education and sustainable choices according to consumer emotion. Furthermore, it is possible to optimize the balance between supply and demand in the region, increase energy efficiency, and reduce plastic use.

[0380] "Information from local producers" refers to information about production activities and products provided by individuals or organizations engaged in agricultural or production activities in a particular region.

[0381] A "database" is a system that stores collected information in an organized manner and makes it quickly and easily accessible when needed.

[0382] "Balance of supply and demand" refers to the state of equilibrium between the demand for a product (willingness to consume) and the supply (capacity to produce and provide) in a particular area.

[0383] An "efficient cooling system" is one that provides optimal cooling while minimizing energy consumption.

[0384] An "insulating material" is a material that prevents heat conduction and keeps the internal temperature constant.

[0385] "Renewable energy sources" are energy resources that are permanently supplied from the natural environment, including solar, wind, and hydroelectric power.

[0386] "Environmental information" refers to knowledge and practices related to protecting the natural environment and sustainable lifestyles.

[0387] "Educational materials" are materials created in the form of pamphlets, videos, online courses, etc. that provide specific environmental practices and knowledge.

[0388] "Consumer emotion data" is data that indicates the emotional state of a consumer when receiving information, and is collected using an emotion engine.

[0389] An "emotion engine" is a technology for analyzing a user's emotional state and assessing the consumer's psychological state.

[0390] "Customizing information and educational materials" refers to the creation and delivery of information and educational materials that are personalized according to the consumer's emotional state.

[0391] The system of the present invention collects information from local producers and stores it in a database to build a sustainable food supply chain. Here, the server, terminal, and user each play their own role and support the operation of the entire system. Specific embodiments of the present invention are described below.

[0392] Collecting information and storing it in a database

[0393] The server receives information provided by local producers and stores it in a database. This information includes production volume, harvest time, transportation conditions, etc. The server can centrally manage this information.

[0394] Demand and supply optimization

[0395] The server uses the producer information stored in the database, as well as regional demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to producers and logistics companies.

[0396] Cooling Systems and Insulation Materials

[0397] The server calculates efficient cooling systems and insulation materials, determining optimal parameters for refrigerated and frozen transport, minimizing energy consumption and ensuring products reach consumers in optimal condition.

[0398] Proposal of renewable energy sources

[0399] The server will suggest the introduction of renewable energy sources, for example, encouraging the use of solar panels and wind turbines, and designing energy-efficient methods to reduce energy consumption.

[0400] Providing environmental information and educational materials

[0401] The server provides consumers with information on environmental considerations, and also creates educational materials such as pamphlets and online courses, which are then provided to consumers.

[0402] Introducing an emotion engine and analyzing emotion data

[0403] The server uses an emotion engine to recognize, collect, and analyze consumer emotions. Based on this emotional data, the server customizes the information and educational materials provided to suit the consumer's emotional state. By detecting the consumer's stress level and providing information that helps them relax, more effective education becomes possible.

[0404] Specific examples

[0405] For example, consider a local consumer using smart glasses while shopping in a physical store. The server analyzes the consumer's emotional state in real time, providing more information when the consumer is relaxed and less information when the consumer is stressed. This system can help consumers understand sustainable products.

[0406] Prompt Sentence Examples

[0407] When a consumer wears smart glasses in a store and selects sustainable products, consider an application that uses an emotion engine to detect the consumer's emotional state (e.g., "happy") and provide appropriate information.

[0408] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0409] Step 1:

[0410] The server collects information from local producers and stores it in a database.

[0411] Specifically, the system receives information provided by producers, such as production volume, harvest time, and transportation conditions, via API and stores it in a database. The input is producer information data, and the output is the updated database.

[0412] Step 2:

[0413] The server takes in producer information and regional demand data stored in the database and applies an algorithm that optimizes the balance between supply and demand.

[0414] Specifically, it analyzes regional demand data using a demand forecasting algorithm and optimizes the supply plan. The input is producer information data and demand data, and the output is an optimized supply plan.

[0415] Step 3:

[0416] The server calculates efficient cooling systems and insulation materials.

[0417] Specifically, it analyzes the conditions for refrigerated and frozen transport and proposes the optimal cooling system and insulation materials to use. The input is logistics condition data, and the output is a recommended cooling system and insulation materials.

[0418] Step 4:

[0419] The server proposes the introduction of renewable energy sources.

[0420] Specifically, it analyzes energy consumption data and proposes the introduction of energy-efficient solar panels and wind power generation systems. The input is energy consumption data, and the output is renewable energy proposals.

[0421] Step 5:

[0422] The server provides environmentally friendly information and educational materials to consumers.

[0423] Specifically, the system creates pamphlets and online courses containing environmentally friendly knowledge and practices and distributes them to consumers. The input is educational material content, and the output is providing information to consumers.

[0424] Step 6:

[0425] The server uses an emotion engine to collect and analyze consumer emotion data.

[0426] Specifically, it uses emotion recognition technology to analyze consumers' real-time emotions. The input is consumer emotion data, and the output is the emotion analysis results.

[0427] Step 7:

[0428] The server customizes the information and educational materials provided based on the emotional data.

[0429] Specifically, it provides information at the optimal timing and in the optimal way to match the consumer's emotional state. The input is emotional data and educational materials, and the output is customized information.

[0430] 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.

[0431] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0432] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0433] [Second embodiment]

[0434] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0435] 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.

[0436] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0437] 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.

[0438] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0439] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0440] 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.

[0441] 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.

[0442] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0443] 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.

[0444] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0445] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0446] In the system of the present invention, embodiments based on the following specific examples will be described.

[0447] Collecting information on local producers and storing it in a database

[0448] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[0449] Demand and supply optimization

[0450] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[0451] Efficient cooling systems and optimized transport routes

[0452] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[0453] Proposing renewable energy sources and improving energy efficiency

[0454] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[0455] Reducing plastics and increasing recycling efficiency

[0456] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[0457] consumer education

[0458] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[0459] Specific examples

[0460] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[0461] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[0462] By using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption and contributes to carbon neutrality for the entire region.

[0463] The processing flow will be explained below.

[0464] Collecting information on local producers and registering them in a database

[0465] Step 1:

[0466] The server receives information provided by local growers, including their name, location, and crops grown.

[0467] Step 2:

[0468] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[0469] Step 3:

[0470] The server stores the verified information in a database that contains structured data for efficient future analysis.

[0471] Demand and supply optimization

[0472] Step 1:

[0473] The server reads producer information and local demand data stored in a database.

[0474] Step 2:

[0475] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[0476] Step 3:

[0477] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[0478] Efficient cooling systems and optimized transport routes

[0479] Step 1:

[0480] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[0481] Step 2:

[0482] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[0483] Step 3:

[0484] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[0485] Proposing renewable energy sources and improving energy efficiency

[0486] Step 1:

[0487] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[0488] Step 2:

[0489] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[0490] Step 3:

[0491] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[0492] Reducing plastics and increasing recycling efficiency

[0493] Step 1:

[0494] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[0495] Step 2:

[0496] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[0497] Step 3:

[0498] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[0499] consumer education

[0500] Step 1:

[0501] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[0502] Step 2:

[0503] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[0504] Step 3:

[0505] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[0506] By taking these steps, it is possible to create a carbon-neutral food supply chain across the region that operates efficiently and sustainably.

[0507] Example 1

[0508] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0509] Modern agriculture and food supply chains face multiple challenges, including managing producer information, optimizing the balance between supply and demand, introducing efficient cooling systems, proposing renewable energy, selecting packaging materials and promoting recycling, and educating consumers about the environment. While a system that can efficiently and comprehensively address these challenges is needed, no comprehensive system currently exists that includes all the elements. Therefore, there is a need to provide a system that can comprehensively address these multiple challenges.

[0510] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0511] In this invention, the server includes means for collecting information from producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for recommending biodegradable packaging materials, means for optimizing recycling processes, means for providing environmentally friendly information and educational materials to consumers, means for collecting demand data and storing it in a database, means for inputting the data into a generative AI model using prompt sentences, means for optimizing a supply plan and notifying producers and logistics companies of the plan, and means for calculating optimized cooling parameters and transportation routes and notifying transport companies. This makes it possible to solve multiple agricultural problems in an integrated and efficient manner.

[0512] "Producer information" is data related to agricultural production, including the producer's name, location, crops grown, and yields.

[0513] A "database" is a system that organizes and stores collected information and allows it to be searched and updated as needed.

[0514] "Demand data" is information provided by consumers and stores about the crops needed, the quantity, and the timing of supply.

[0515] "Optimizing the supply and demand balance" is the process of optimally adjusting supply plans based on collected producer information and demand data.

[0516] A "cooling system" is a piece of machinery used to maintain crops and food at the appropriate temperature.

[0517] "Insulating material" means a material used to reduce the transfer of heat and is contemplated for use in cooling systems.

[0518] "Renewable energy sources" refers to sustainable energy sources obtained from nature, such as solar, wind, and hydropower.

[0519] "Biodegradable packaging" is packaging made from materials that are biodegradable in the natural environment.

[0520] A "recycling process" is a series of steps that return used materials to a reusable state.

[0521] "Consumer education" refers to activities that provide consumers with information on environmentally conscious and sustainable consumption behavior and raise their awareness.

[0522] A "generative AI model" is an algorithm or software that uses artificial intelligence technology to generate and optimize data.

[0523] A "prompt sentence" is a sentence containing specific instructions or questions to be input into a generative AI model.

[0524] A "supply plan" is a plan created to achieve efficient supply, taking into account the balance of supply and demand.

[0525] A "transportation route" is the optimal route for transporting goods from a departure point to a destination.

[0526] This invention is a system for comprehensively resolving multiple issues in agriculture and food supply chains. This system functions mainly as a server, terminals, and users.

[0527] The server collects information provided by producers and stores it in a database. This database uses a database management system such as MySQL or PostgreSQL. The server applies an algorithm to optimize the balance between supply and demand based on producer information and demand data. This process uses Python's Pandas library and Scikit-learn.

[0528] The server also calculates efficient cooling systems and insulation materials, providing optimal cooling parameters to ensure proper storage of crops. It also suggests the use of renewable energy sources and recommends the use of biodegradable packaging materials, thereby minimizing the environmental impact.

[0529] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, through a website and mobile app, as well as videos, brochures and online courses.

[0530] The server also collects demand data and stores it in a database. Based on the collected data, the server inputs it into a generative AI model using prompt statements. The generative AI model optimizes the supply plan, and the results are notified to producers and logistics companies. The server also uses the Google Maps API to calculate the optimal transportation route and notify the transportation company.

[0531] Software and hardware used

[0532] Database management systems: MySQL, PostgreSQL

[0533] Programming languages ​​and libraries: Python, Pandas, Scikit-learn

[0534] API: Google Maps API

[0535] Optimization software: HOMER Energy

[0536] Specific examples

[0537] Consider a local vegetable grower, A, who wants to practice sustainable agriculture and improve energy efficiency through efficient refrigerated transport.

[0538] 1. The server receives information about vegetable producer A and stores it in the database.

[0539] 2. Optimize the supply plan based on demand data within the region and notify Farmer A of the plan.

[0540] 3. The server calculates the optimal cooling system and transportation route and notifies the carrier of the details.

[0541] 4. The server proposes to vegetable producer A that they introduce renewable energy sources and encourage the use of biodegradable packaging materials.

[0542] 5. The server provides consumers with environmentally friendly information and related educational materials.

[0543] Example prompt sentence:

[0544] "Please provide an optimization plan to help local vegetable grower A improve energy efficiency while practicing sustainable agriculture and providing efficient refrigerated transportation."

[0545] Using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption, contributing to carbon neutrality for the entire region.

[0546] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0547] Step 1:

[0548] The server collects information from farmers and stores it in a database. Farmers enter information such as their name, location, crops grown, and yield into a web form and click the submit button. The server receives the information and stores it in a database. Specifically, it executes an INSERT statement using MySQL or PostgreSQL. The input is the information provided by the farmer, and the output is a record stored in the database.

[0549] Step 2:

[0550] The server collects demand data provided by consumers and stores and stores it in a database. Consumers and stores input the crops they need, the quantity, the desired supply time, etc. from their terminals and click the send button. The server receives the provided demand data and stores it in a database. The input is the demand data provided by consumers and stores, and the output is the records stored in the database.

[0551] Step 3:

[0552] The server optimizes the supply plan based on producer information and demand data stored in the database. It processes data and executes optimization algorithms using Python's Pandas library and Scikit-learn. It retrieves information from the database and uses the algorithm to calculate the optimal supply plan. The input is producer information and demand data retrieved from the database, and the output is the optimized supply plan.

[0553] Step 4:

[0554] The server notifies the calculated supply plan to producers and logistics companies. The calculation results are converted into email or SMS format and sent as notifications. Producers and logistics companies receive the notifications and take action based on the optimal supply plan. The input is the optimized supply plan, and the output is the sending and receiving of notifications.

[0555] Step 5:

[0556] The server calculates efficient cooling systems and insulation materials. It calculates optimal cooling system parameters based on collected product characteristics (temperature, humidity storage conditions). It obtains the necessary information from the database and applies the algorithm. The input is product characteristics information, and the output is the optimal cooling system parameters.

[0557] Step 6:

[0558] The server uses the Google Maps API to calculate the optimal transportation route. It calculates the route between the origin and destination and optimizes it using real-time traffic information. The input is the origin and destination information, and the output is the optimal transportation route.

[0559] Step 7:

[0560] The server proposes renewable energy sources to producers and warehouses, and creates an energy efficiency optimization plan using software such as HOMER Energy. The input is energy usage information and design parameters, and the output is an optimized energy efficiency plan.

[0561] Step 8:

[0562] The server recommends biodegradable packaging materials and optimizes the recycling process. It manages data on recyclable materials and calculates the optimal packaging materials and recycling methods. The input is information on recyclable materials, and the output is the optimal packaging materials and recycling methods.

[0563] Step 9:

[0564] The server provides consumers with environmentally conscious information and educational materials. It provides information through websites and mobile apps, and creates and provides videos, brochures, and online courses. The input is the content of the educational materials, and the output is the information provided to consumers.

[0565] Step 10:

[0566] The server uses the prompt sentence to input into the generative AI model and generate an optimal supply plan. A supply plan is generated by creating a prompt sentence and inputting it into the generative AI model. The input is the prompt sentence, and the output is the generated supply plan.

[0567] In this way, by performing the necessary data processing and calculations at each step, the system will help realize efficient and sustainable agriculture and food supply chains.

[0568] (Application example 1)

[0569] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0570] There is a need to optimize agricultural supply chains and improve sustainability and energy efficiency through information collection and database management from local producers. However, existing systems do not adequately manage producer information centrally, optimize the balance between supply and demand, calculate efficient cooling systems and transportation routes, propose renewable energy sources, or educate consumers. Furthermore, efficient logistics management is difficult because they do not utilize generative AI models to propose supply plans or notify optimization results via smartphone applications. These issues must be resolved.

[0571] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0572] In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for notifying a smartphone application of the results of the algorithm for optimizing the balance between supply and demand, means for notifying the smartphone of optimal cooling system settings and transportation routes, and means for the generative AI model to propose a supply plan based on prompt text, thereby enabling optimization of the agricultural product supply chain, improved sustainability, and efficient logistics management.

[0573] "Local producer" refers to an individual or entity that produces agricultural or other products within a specific geographic area.

[0574] "Gathering information" refers to compiling, recording, and storing specific data or knowledge.

[0575] A "database" refers to a computer system or software for organizing, efficiently accessing, and managing data.

[0576] "Optimizing the supply balance" refers to eliminating the imbalance between supply and demand and building the most efficient and economical supply system.

[0577] An "algorithm" refers to a set of computational steps or processing rules for solving a particular problem.

[0578] "Efficient cooling systems" refers to a general term for cooling equipment and refrigeration technologies that maintain the right temperature while saving energy.

[0579] "Insulating material" refers to a material used to inhibit the conduction of heat and minimize temperature changes.

[0580] "Renewable energy sources" refer to energy sources such as solar, wind, and hydroelectric power that can be used once and then continue to be regenerated.

[0581] "Consumer education" refers to educational activities aimed at providing consumers with knowledge and raising their awareness about environmental considerations and sustainability.

[0582] "Smartphone application" refers to a software program that runs on a smartphone.

[0583] A "generative AI model" refers to a system that uses artificial intelligence algorithms to generate outputs based on specific inputs.

[0584] A "prompt" refers to an instruction or question that is input into a generative AI model.

[0585] "Proposing a supply plan" refers to making a proposal that specifically indicates the optimal supply method and procedures.

[0586] "Means of notification" refers to the methods and techniques used to communicate specific information to interested parties.

[0587] The system in this example collects information from local producers, stores it in a database, optimizes the balance between supply and demand, calculates efficient cooling systems and insulation materials, suggests renewable energy sources, educates consumers, notifies them of the optimization results via a smartphone application, and proposes a supply plan using a generative AI model.

[0588] Collecting producer information and storing it in a database

[0589] The server receives information entered by local producers and stores it in a database, including the producer's name, location, contact information, product type and quantity, etc. The data is managed using the Django framework.

[0590] Optimizing the balance between supply and demand

[0591] The server runs an algorithm to optimize the balance between supply and demand based on producer information and local demand data in the database. The optimization results are notified to local producers and logistics companies. The optimization algorithm is implemented using Python and provides a supply plan for each individual demand amount.

[0592] Calculation of efficient cooling systems and insulation materials

[0593] The server calculates the most efficient cooling system and insulation materials and notifies the logistics company of the results. The cooling system calculates parameters to minimize energy consumption and preserve the crops in optimal conditions.

[0594] Proposal of renewable energy sources

[0595] The server will advise growers on the adoption of renewable energy sources, including the installation of solar panels and wind turbines, and will also provide designs for energy-efficient heating and cooling systems.

[0596] consumer education

[0597] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational videos and online courses on carbon-neutral food supply chains.

[0598] Notification of optimization results to smartphone application

[0599] The server notifies the smartphone application of information such as the results of optimizing the balance between supply and demand, efficient cooling system settings, optimal transportation routes, etc. This notification function makes it possible to communicate optimization results to relevant parties in real time.

[0600] Supply planning proposals using generative AI models

[0601] The server uses a generative AI model to propose a supply plan. It generates the optimal supply method based on a prompt statement and provides it to producers and logistics companies. The prompt statement has the following format:

[0602] Prompt Sentence Examples

[0603] "Propose a plan to optimize the balance between supply and demand for tomatoes in the region Tokyo."

[0604] In this way, a system with a wide range of functions can optimize agricultural supply chains and improve sustainability.

[0605] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0606] Step 1:

[0607] Local producers enter their information into a smartphone application, including the producer's name, location, contact information, product type, and quantity. The data entered by the producer is sent to a server via the application.

[0608] Step 2:

[0609] The server stores the received producer information in a database. The database has a table for managing individual producer information using the Django framework. The input data is saved in the appropriate fields for later use.

[0610] Step 3:

[0611] The server collects and stores regional demand data in a database, which includes the consumer needs for specific products in each region, and this data is also stored in a separate table in the database.

[0612] Step 4:

[0613] The server runs an algorithm to optimize the balance between supply and demand based on producer information and demand data stored in the database. The input data are producer information and demand data, and the output data is an optimized supply plan. The optimization algorithm is implemented in Python and calculates the matching of supply and demand and the supply schedule.

[0614] Step 5:

[0615] The server then sends the optimized supply plan to the smartphone application. This notification includes the products that each producer should supply, their quantities, destinations, and supply times. Producers can check their own supply plans through the application.

[0616] Step 6:

[0617] The server runs an algorithm to calculate the most efficient cooling system and insulation materials. The input data is the characteristics of the product being transported and the required storage conditions, and the output data is the optimal cooling system and insulation material settings. The calculation results are notified to the logistics company via a smartphone application.

[0618] Step 7:

[0619] The server then makes suggestions to farmers on how to install renewable energy sources (e.g., solar panels or wind power), including recommendations for energy-efficient lighting systems and heating and cooling systems. The suggestions are then communicated to the farmers via the application.

[0620] Step 8:

[0621] The server provides consumers with environmentally friendly information and educational materials, including how to use reusable bags, advice on reducing food waste, and educational videos and online courses on carbon-neutral food supply chains, which consumers can view within the app.

[0622] Step 9:

[0623] The server inputs the prompt into the generative AI model to propose a supply plan. An example of a prompt is, "Please propose a plan that optimizes the balance between supply and demand for tomatoes in the Tokyo region." The generative AI model generates an optimal supply plan based on this prompt and returns the result to the server.

[0624] Step 10:

[0625] The server stores the supply plan received from the generative AI model in a database and notifies the plan to producers and logistics companies, allowing producers to implement optimal supply methods and logistics companies to ensure efficient delivery.

[0626] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0627] In the system of the present invention, embodiments based on the following specific examples will be described.

[0628] Collecting information on local producers and storing it in a database

[0629] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[0630] Demand and supply optimization

[0631] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[0632] Efficient cooling systems and optimized transport routes

[0633] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[0634] Proposing renewable energy sources and improving energy efficiency

[0635] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[0636] Reducing plastics and increasing recycling efficiency

[0637] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[0638] consumer education

[0639] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[0640] Introducing the Emotion Engine

[0641] The server recognizes the user's emotions using an emotion engine, which analyzes the emotional state of the consumer when receiving information.

[0642] Customized information provision based on emotions

[0643] The server uses an emotion engine to collect emotional data about the consumer and customizes the information and educational materials it provides based on that emotion. For example, if the consumer is feeling stressed, it will select a method of providing information that will help them relax.

[0644] Analyzing emotional data and optimizing information delivery methods

[0645] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[0646] Specific examples

[0647] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[0648] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[0649] Using the emotion engine, the server collects and analyzes consumer emotion data and provides optimal information according to the consumer's emotional state. It also utilizes feedback from the emotion engine to continuously optimize the way information is provided.

[0650] By using this system, vegetable producer A can supply food in a sustainable way that minimizes energy consumption, provide services that are responsive to consumer sentiment, and contribute to carbon neutrality for the entire region.

[0651] The processing flow will be explained below.

[0652] Collecting information on local producers and storing it in a database

[0653] Step 1:

[0654] The server receives information provided by local growers, including their name, location, and crops grown.

[0655] Step 2:

[0656] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[0657] Step 3:

[0658] The server stores the verified information in a database that contains structured data for efficient future analysis.

[0659] Demand and supply optimization

[0660] Step 1:

[0661] The server reads producer information and local demand data stored in a database.

[0662] Step 2:

[0663] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[0664] Step 3:

[0665] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[0666] Efficient cooling systems and optimized transport routes

[0667] Step 1:

[0668] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[0669] Step 2:

[0670] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[0671] Step 3:

[0672] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[0673] Proposing renewable energy sources and improving energy efficiency

[0674] Step 1:

[0675] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[0676] Step 2:

[0677] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[0678] Step 3:

[0679] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[0680] Reducing plastics and increasing recycling efficiency

[0681] Step 1:

[0682] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[0683] Step 2:

[0684] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[0685] Step 3:

[0686] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[0687] consumer education

[0688] Step 1:

[0689] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[0690] Step 2:

[0691] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[0692] Step 3:

[0693] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[0694] Introducing the Emotion Engine

[0695] Step 1:

[0696] The server uses an emotion engine to recognize the user's emotions, which is done to capture the user's emotional state in real time as they receive information.

[0697] Step 2:

[0698] The server stores the collected emotion data in a database and continuously analyzes it.

[0699] Step 3:

[0700] The server grasps the trends and fluctuations of emotions based on the user's emotional data.

[0701] Customized information provision based on emotions

[0702] Step 1:

[0703] The server uses the emotion engine to collect data on the user's emotions and customizes the information and educational materials it provides. For example, if the user is feeling stressed, it will provide relaxing content.

[0704] Step 2:

[0705] The server provides the user with customized information that is tailored to help the user learn most effectively.

[0706] Analyzing emotional data and optimizing information delivery methods

[0707] Step 1:

[0708] The server analyzes the user's emotional data and evaluates the effectiveness of the environmentally conscious information and educational materials provided.

[0709] Step 2:

[0710] The server optimizes the information presentation method based on the evaluation results. For example, it analyzes how specific information affected the user and adjusts the information presentation method to maximize its effect.

[0711] Step 3:

[0712] The server implements an optimized information providing method and continuously provides effective information to the user.

[0713] As a result, this system can realize a carbon-neutral food supply and provide optimal information according to the user's emotions.As a specific example, there is a case where vegetable producer A improved energy efficiency, provided emotional services, and achieved a sustainable food supply.

[0714] Example 2

[0715] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0716] Modern agricultural production requires optimizing the balance of supply and demand between producers and consumers, and achieving efficient logistics and energy management. It is also important to select packaging materials that take environmental considerations into account and to increase recycling efficiency. Furthermore, it is desirable to improve consumer satisfaction by providing information tailored to consumer sentiment. However, systems for centrally managing and optimizing these aspects are not widely available. Therefore, there is a need for a comprehensive system that can handle everything from collecting information on local producers to optimizing logistics, considering the environment, and providing information based on consumer sentiment.

[0717] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulating materials, means for proposing renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for collecting and analyzing user emotion data, and means for customizing the information to be provided based on the user emotion data. This enables efficient data management of local producers, optimization of supply and demand, and further improvement of environmental friendliness and consumer satisfaction.

[0718] "Producer information" is data provided by local producers, such as their names, addresses, and crop types.

[0719] The "means for optimizing the balance between supply and demand" refers to an algorithm and its execution environment that optimizes supply plans based on producer information and demand data.

[0720] An "efficient cooling system" is one that calculates and applies effective cooling methods and set temperatures to maintain product integrity during transport.

[0721] "Insulating materials" are materials used to improve the effectiveness of cooling systems, helping to control temperature while minimizing energy consumption.

[0722] "Renewable energy sources" refers to energy sources that can be obtained sustainably from the natural environment, such as solar power and wind power.

[0723] "Environmental information" is information provided to consumers that contributes to environmental protection, such as using reusable products and reducing food waste.

[0724] "Educational materials" are content such as educational videos, brochures, and online courses that promote environmentally friendly behavior.

[0725] "User emotional data" refers to data that indicates the user's emotional state and is information obtained using facial recognition or other emotional analysis techniques.

[0726] The "means for customizing the information provided" refers to a method for optimizing the content and format of the information and educational materials provided based on the collected emotional data of the user.

[0727] The system of the present invention consistently executes all processes, from collecting information on local producers to optimizing supply plans and providing information to consumers, enabling efficient distribution and information exchange between local producers and consumers.

[0728] 1. Collecting information on local producers and storing it in a database

[0729] The server receives information provided by local producers and stores it in a database. This process uses, for example, a Windows Server or Linux-based server system and a database management system such as MySQL or PostgreSQL. When producers use their devices (PCs or smartphones) to enter information into a dedicated web form and press the submit button, the server receives the information and stores it in the database.

[0730] 2. Optimizing supply and demand

[0731] The server retrieves producer information from a database and combines it with demand data. The server then applies an algorithm to optimize the balance between supply and demand. This algorithm is often implemented in Python or R, for example. The optimized plan is then communicated to producers and logistics companies. The algorithm for creating the supply plan may use linear programming.

[0732] 3. Efficient cooling systems and optimized transport routes

[0733] The server calculates the optimal parameters for refrigerated and frozen transport. This process uses data from temperature sensors and cooling system specifications. It also uses the Google Maps API to calculate the shortest and most efficient transport route. The results are then sent to the logistics company as detailed instructions.

[0734] 4. Proposing renewable energy sources and improving energy efficiency

[0735] The server collects and analyzes energy consumption data from producers and suggests the introduction of renewable energy sources, including simulating the installation of solar and wind power plants, as well as designing energy-efficient heating and cooling systems to minimize energy consumption.

[0736] 5. Reducing plastics and improving recycling efficiency

[0737] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and proposes optimal recycling methods and provides specific implementation plans to optimize the recycling process.

[0738] 6. Consumer education

[0739] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational materials (such as instructional videos, brochures, and online courses) on carbon-neutral food supply chains.

[0740] 7. Introducing an emotion engine and customizing information provision based on emotions

[0741] The server uses an emotion engine to recognize the user's emotions. This analyzes the emotional state of the consumer when receiving information, and typically uses a facial recognition API (e.g., Microsoft Azure Face API or Amazon Rekognition). Based on the results of the emotion engine, the server can customize the content of information and educational materials provided to consumers in a way that helps reduce their stress.

[0742] 8. Analyzing emotional data and optimizing information delivery methods

[0743] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[0744] Specific examples

[0745] As a concrete example, consider a case where a local vegetable producer A wants to practice sustainable agriculture, efficiently transport produce, and improve energy efficiency. Producer A inputs information from a terminal, which the server receives and stores in a MySQL database. The server then optimizes a supply plan based on demand data within the region and notifies Producer A of the plan. Next, it calculates a cooling system and transportation route, and notifies the carrier of the details. Furthermore, the server suggests to Producer A that they introduce renewable energy sources and recommend the use of biodegradable packaging materials. Finally, it provides consumers with environmentally friendly information and related educational materials.

[0746] Prompt Sentence Examples

[0747] A personalized prompt might be, "I'd like to know how to recycle used plastic packaging" or "What courses can I take to learn about sustainable agriculture?"

[0748] In this way, the system of the present invention enables efficient supply chains and information exchange between local producers and consumers, improving environmental friendliness and consumer satisfaction.

[0749] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0750] Step 1:

[0751] The server receives information (such as name, address, and type of crop) entered by local producers from their devices and stores it in a database. Specifically, producers enter information into a dedicated web form on their devices (PCs or smartphones) and press the submit button. This sends the entered data to the server. The server receives this data, checks for formatting and duplicates, and then stores it in a MySQL database.

[0752] Input: Producer information (name, address, type of crop, etc.)

[0753] Output: Producer information stored in the database

[0754] Step 2:

[0755] The server retrieves producer information from the database and combines it with demand data to optimize the balance between supply and demand. It uses a Python script to run an optimization algorithm and create a supply plan. The optimized supply plan is then notified to producers and logistics companies. Specifically, the server uses SQL queries to retrieve the necessary information from the database, combines it with demand forecast data (market data, etc.), and applies the algorithm.

[0756] Input: Producer information and demand data obtained from the database

[0757] Output: Optimized supply plan

[0758] Step 3:

[0759] The server calculates the optimal parameters for refrigerated and frozen transport. This uses temperature sensor and cooling system specification data. It then uses Google Maps API to calculate the shortest and most efficient transport route. The calculation results are sent to the logistics company. Specifically, the server receives data from the sensors and calculates the optimal set temperature based on the cooling system specifications. It then uses Google Maps API to calculate the optimal transport route and notifies the logistics company of the results.

[0760] Input: Temperature sensor data, cooling system specification data

[0761] Output: Optimal cooling parameters and transport routes

[0762] Step 4:

[0763] The server collects and analyzes energy consumption data from producers and proposes the introduction of renewable energy sources. Specifically, it acquires smart meter data, analyzes consumption patterns, and performs simulations of solar and wind power generation. The results are then notified to producers.

[0764] Input: Smart meter data

[0765] Output: Proposed introduction of renewable energy sources

[0766] Step 5:

[0767] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and also proposes optimal recycling methods and provides specific implementation plans.

[0768] Input: Database of packaging materials

[0769] Output: Implementation plan for recommended packaging materials and recycling methods

[0770] Step 6:

[0771] The server will provide consumers with environmentally friendly information and educational materials, such as information on using reusable bags and reducing food waste, via a website and app, as well as creating and distributing educational videos and pamphlets online.

[0772] Input: Environmental considerations information

[0773] Output: Consumer education materials

[0774] Step 7:

[0775] The server uses an emotion engine to recognize the user's emotions. It uses a facial recognition API to analyze the user's facial image and evaluate their emotional state. Based on the results, it customizes the way it presents information. Specifically, it selects a relaxing way of presenting information to reduce stress based on the emotional data.

[0776] Input: User's face image

[0777] Output: Emotion data

[0778] Step 8:

[0779] The server analyzes the collected user emotion data using an emotion engine and evaluates the effectiveness of the environmentally conscious information and educational materials provided. Based on the evaluation results, the information delivery method is optimized. Specifically, the emotion data is recorded in a log and the content delivery method is improved based on the effectiveness analysis.

[0780] Input: Emotion data

[0781] Output: Optimized information presentation

[0782] (Application example 2)

[0783] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0784] Modern society demands the creation of sustainable food supply chains and consideration for the environment. However, providing consumers with sustainable options and effectively educating them about them is a difficult task. It is particularly important to understand consumers' emotional state and provide information at the right time and through the right means. Collecting and managing information from local producers, optimizing supply and demand, streamlining cooling systems, promoting renewable energy, and reducing plastics are also important. The challenge of this invention is to integrate these complex elements and provide an effective system.

[0785] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0786] In this invention, the server includes: means for collecting information from local producers and storing it in a database; means for optimizing the balance between supply and demand based on the producer information stored in the database; means for calculating efficient cooling systems and insulation materials; means for suggesting renewable energy sources; means for providing environmentally conscious information and educational materials to consumers; an emotion engine for collecting and analyzing consumer emotion data; and means for customizing the information and educational materials provided based on the emotion data. This enables the provision of customized environmental education and sustainable choices according to consumer emotion. Furthermore, it is possible to optimize the balance between supply and demand in the region, increase energy efficiency, and reduce plastic use.

[0787] "Information from local producers" refers to information about production activities and products provided by individuals or organizations engaged in agricultural or production activities in a particular region.

[0788] A "database" is a system that stores collected information in an organized manner and makes it quickly and easily accessible when needed.

[0789] "Balance of supply and demand" refers to the state of equilibrium between the demand for a product (willingness to consume) and the supply (capacity to produce and provide) in a particular area.

[0790] An "efficient cooling system" is one that provides optimal cooling while minimizing energy consumption.

[0791] An "insulating material" is a material that prevents heat conduction and keeps the internal temperature constant.

[0792] "Renewable energy sources" are energy resources that are permanently supplied from the natural environment, including solar, wind, and hydroelectric power.

[0793] "Environmental information" refers to knowledge and practices related to protecting the natural environment and sustainable lifestyles.

[0794] "Educational materials" are materials created in the form of pamphlets, videos, online courses, etc. that provide specific environmental practices and knowledge.

[0795] "Consumer emotion data" is data that indicates the emotional state of a consumer when receiving information, and is collected using an emotion engine.

[0796] An "emotion engine" is a technology for analyzing a user's emotional state and assessing the consumer's psychological state.

[0797] "Customizing information and educational materials" refers to the creation and delivery of information and educational materials that are personalized according to the consumer's emotional state.

[0798] The system of the present invention collects information from local producers and stores it in a database to build a sustainable food supply chain. Here, the server, terminal, and user each play their own role and support the operation of the entire system. Specific embodiments of the present invention are described below.

[0799] Collecting information and storing it in a database

[0800] The server receives information provided by local producers and stores it in a database. This information includes production volume, harvest time, transportation conditions, etc. The server can centrally manage this information.

[0801] Demand and supply optimization

[0802] The server uses the producer information stored in the database, as well as regional demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to producers and logistics companies.

[0803] Cooling Systems and Insulation Materials

[0804] The server calculates efficient cooling systems and insulation materials, determining optimal parameters for refrigerated and frozen transport, minimizing energy consumption and ensuring products reach consumers in optimal condition.

[0805] Proposal of renewable energy sources

[0806] The server will suggest the introduction of renewable energy sources, for example, encouraging the use of solar panels and wind turbines, and designing energy-efficient methods to reduce energy consumption.

[0807] Providing environmental information and educational materials

[0808] The server provides consumers with information on environmental considerations, and also creates educational materials such as pamphlets and online courses, which are then provided to consumers.

[0809] Introducing an emotion engine and analyzing emotion data

[0810] The server uses an emotion engine to recognize, collect, and analyze consumer emotions. Based on this emotional data, the server customizes the information and educational materials provided to suit the consumer's emotional state. By detecting the consumer's stress level and providing information that helps them relax, more effective education becomes possible.

[0811] Specific examples

[0812] For example, consider a local consumer using smart glasses while shopping in a physical store. The server analyzes the consumer's emotional state in real time, providing more information when the consumer is relaxed and less information when the consumer is stressed. This system can help consumers understand sustainable products.

[0813] Prompt Sentence Examples

[0814] When a consumer wears smart glasses in a store and selects sustainable products, consider an application that uses an emotion engine to detect the consumer's emotional state (e.g., "happy") and provide appropriate information.

[0815] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0816] Step 1:

[0817] The server collects information from local producers and stores it in a database.

[0818] Specifically, the system receives information provided by producers, such as production volume, harvest time, and transportation conditions, via API and stores it in a database. The input is producer information data, and the output is the updated database.

[0819] Step 2:

[0820] The server takes in producer information and regional demand data stored in the database and applies an algorithm that optimizes the balance between supply and demand.

[0821] Specifically, it analyzes regional demand data using a demand forecasting algorithm and optimizes the supply plan. The input is producer information data and demand data, and the output is an optimized supply plan.

[0822] Step 3:

[0823] The server calculates efficient cooling systems and insulation materials.

[0824] Specifically, it analyzes the conditions for refrigerated and frozen transport and proposes the optimal cooling system and insulation materials to use. The input is logistics condition data, and the output is a recommended cooling system and insulation materials.

[0825] Step 4:

[0826] The server proposes the introduction of renewable energy sources.

[0827] Specifically, it analyzes energy consumption data and proposes the introduction of energy-efficient solar panels and wind power generation systems. The input is energy consumption data, and the output is renewable energy proposals.

[0828] Step 5:

[0829] The server provides environmentally friendly information and educational materials to consumers.

[0830] Specifically, the system creates pamphlets and online courses containing environmentally friendly knowledge and practices and distributes them to consumers. The input is educational material content, and the output is providing information to consumers.

[0831] Step 6:

[0832] The server uses an emotion engine to collect and analyze consumer emotion data.

[0833] Specifically, it uses emotion recognition technology to analyze consumers' real-time emotions. The input is consumer emotion data, and the output is the emotion analysis results.

[0834] Step 7:

[0835] The server customizes the information and educational materials provided based on the emotional data.

[0836] Specifically, it provides information at the optimal timing and in the optimal way to match the consumer's emotional state. The input is emotional data and educational materials, and the output is customized information.

[0837] 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.

[0838] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0839] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0840] [Third embodiment]

[0841] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0842] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0843] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0844] 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.

[0845] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0846] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0847] 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.

[0848] 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.

[0849] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0850] 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.

[0851] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0852] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0853] In the system of the present invention, embodiments based on the following specific examples will be described.

[0854] Collecting information on local producers and storing it in a database

[0855] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[0856] Demand and supply optimization

[0857] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[0858] Efficient cooling systems and optimized transport routes

[0859] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[0860] Proposing renewable energy sources and improving energy efficiency

[0861] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[0862] Reducing plastics and increasing recycling efficiency

[0863] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[0864] consumer education

[0865] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[0866] Specific examples

[0867] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[0868] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[0869] By using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption and contributes to carbon neutrality for the entire region.

[0870] The processing flow will be explained below.

[0871] Collecting information on local producers and registering them in a database

[0872] Step 1:

[0873] The server receives information provided by local growers, including their name, location, and crops grown.

[0874] Step 2:

[0875] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[0876] Step 3:

[0877] The server stores the verified information in a database that contains structured data for efficient future analysis.

[0878] Demand and supply optimization

[0879] Step 1:

[0880] The server reads producer information and local demand data stored in a database.

[0881] Step 2:

[0882] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[0883] Step 3:

[0884] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[0885] Efficient cooling systems and optimized transport routes

[0886] Step 1:

[0887] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[0888] Step 2:

[0889] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[0890] Step 3:

[0891] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[0892] Proposing renewable energy sources and improving energy efficiency

[0893] Step 1:

[0894] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[0895] Step 2:

[0896] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[0897] Step 3:

[0898] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[0899] Reducing plastics and increasing recycling efficiency

[0900] Step 1:

[0901] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[0902] Step 2:

[0903] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[0904] Step 3:

[0905] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[0906] consumer education

[0907] Step 1:

[0908] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[0909] Step 2:

[0910] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[0911] Step 3:

[0912] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[0913] By taking these steps, it is possible to create a carbon-neutral food supply chain across the region that operates efficiently and sustainably.

[0914] Example 1

[0915] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0916] Modern agriculture and food supply chains face multiple challenges, including managing producer information, optimizing the balance between supply and demand, introducing efficient cooling systems, proposing renewable energy, selecting packaging materials and promoting recycling, and educating consumers about the environment. While a system that can efficiently and comprehensively address these challenges is needed, no comprehensive system currently exists that includes all the elements. Therefore, there is a need to provide a system that can comprehensively address these multiple challenges.

[0917] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0918] In this invention, the server includes means for collecting information from producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for recommending biodegradable packaging materials, means for optimizing recycling processes, means for providing environmentally friendly information and educational materials to consumers, means for collecting demand data and storing it in a database, means for inputting the data into a generative AI model using prompt sentences, means for optimizing a supply plan and notifying producers and logistics companies of the plan, and means for calculating optimized cooling parameters and transportation routes and notifying transport companies. This makes it possible to solve multiple agricultural problems in an integrated and efficient manner.

[0919] "Producer information" is data related to agricultural production, including the producer's name, location, crops grown, and yields.

[0920] A "database" is a system that organizes and stores collected information and allows it to be searched and updated as needed.

[0921] "Demand data" is information provided by consumers and stores about the crops needed, the quantity, and the timing of supply.

[0922] "Optimizing the supply and demand balance" is the process of optimally adjusting supply plans based on collected producer information and demand data.

[0923] A "cooling system" is a piece of machinery used to maintain crops and food at the appropriate temperature.

[0924] "Insulating material" means a material used to reduce the transfer of heat and is contemplated for use in cooling systems.

[0925] "Renewable energy sources" refers to sustainable energy sources obtained from nature, such as solar, wind, and hydropower.

[0926] "Biodegradable packaging" is packaging made from materials that are biodegradable in the natural environment.

[0927] A "recycling process" is a series of steps that return used materials to a reusable state.

[0928] "Consumer education" refers to activities that provide consumers with information on environmentally conscious and sustainable consumption behavior and raise their awareness.

[0929] A "generative AI model" is an algorithm or software that uses artificial intelligence technology to generate and optimize data.

[0930] A "prompt sentence" is a sentence containing specific instructions or questions to be input into a generative AI model.

[0931] A "supply plan" is a plan created to achieve efficient supply, taking into account the balance of supply and demand.

[0932] A "transportation route" is the optimal route for transporting goods from a departure point to a destination.

[0933] This invention is a system for comprehensively resolving multiple issues in agriculture and food supply chains. This system functions mainly as a server, terminals, and users.

[0934] The server collects information provided by producers and stores it in a database. This database uses a database management system such as MySQL or PostgreSQL. The server applies an algorithm to optimize the balance between supply and demand based on producer information and demand data. This process uses Python's Pandas library and Scikit-learn.

[0935] The server also calculates efficient cooling systems and insulation materials, providing optimal cooling parameters to ensure proper storage of crops. It also suggests the use of renewable energy sources and recommends the use of biodegradable packaging materials, thereby minimizing the environmental impact.

[0936] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, through a website and mobile app, as well as videos, brochures and online courses.

[0937] The server also collects demand data and stores it in a database. Based on the collected data, the server inputs it into a generative AI model using prompt statements. The generative AI model optimizes the supply plan, and the results are notified to producers and logistics companies. The server also uses the Google Maps API to calculate the optimal transportation route and notify the transportation company.

[0938] Software and hardware used

[0939] Database management systems: MySQL, PostgreSQL

[0940] Programming languages ​​and libraries: Python, Pandas, Scikit-learn

[0941] API: Google Maps API

[0942] Optimization software: HOMER Energy

[0943] Specific examples

[0944] Consider a local vegetable grower, A, who wants to practice sustainable agriculture and improve energy efficiency through efficient refrigerated transport.

[0945] 1. The server receives information about vegetable producer A and stores it in the database.

[0946] 2. Optimize the supply plan based on demand data within the region and notify Farmer A of the plan.

[0947] 3. The server calculates the optimal cooling system and transportation route and notifies the carrier of the details.

[0948] 4. The server proposes to vegetable producer A that they introduce renewable energy sources and encourage the use of biodegradable packaging materials.

[0949] 5. The server provides consumers with environmentally friendly information and related educational materials.

[0950] Example prompt sentence:

[0951] "Please provide an optimization plan to help local vegetable grower A improve energy efficiency while practicing sustainable agriculture and providing efficient refrigerated transportation."

[0952] Using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption, contributing to carbon neutrality for the entire region.

[0953] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0954] Step 1:

[0955] The server collects information from farmers and stores it in a database. Farmers enter information such as their name, location, crops grown, and yield into a web form and click the submit button. The server receives the information and stores it in a database. Specifically, it executes an INSERT statement using MySQL or PostgreSQL. The input is the information provided by the farmer, and the output is a record stored in the database.

[0956] Step 2:

[0957] The server collects demand data provided by consumers and stores and stores it in a database. Consumers and stores input the crops they need, the quantity, the desired supply time, etc. from their terminals and click the send button. The server receives the provided demand data and stores it in a database. The input is the demand data provided by consumers and stores, and the output is the records stored in the database.

[0958] Step 3:

[0959] The server optimizes the supply plan based on producer information and demand data stored in the database. It processes data and executes optimization algorithms using Python's Pandas library and Scikit-learn. It retrieves information from the database and uses the algorithm to calculate the optimal supply plan. The input is producer information and demand data retrieved from the database, and the output is the optimized supply plan.

[0960] Step 4:

[0961] The server notifies the calculated supply plan to producers and logistics companies. The calculation results are converted into email or SMS format and sent as notifications. Producers and logistics companies receive the notifications and take action based on the optimal supply plan. The input is the optimized supply plan, and the output is the sending and receiving of notifications.

[0962] Step 5:

[0963] The server calculates efficient cooling systems and insulation materials. It calculates optimal cooling system parameters based on collected product characteristics (temperature, humidity storage conditions). It obtains the necessary information from the database and applies the algorithm. The input is product characteristics information, and the output is the optimal cooling system parameters.

[0964] Step 6:

[0965] The server uses the Google Maps API to calculate the optimal transportation route. It calculates the route between the origin and destination and optimizes it using real-time traffic information. The input is the origin and destination information, and the output is the optimal transportation route.

[0966] Step 7:

[0967] The server proposes renewable energy sources to producers and warehouses, and creates an energy efficiency optimization plan using software such as HOMER Energy. The input is energy usage information and design parameters, and the output is an optimized energy efficiency plan.

[0968] Step 8:

[0969] The server recommends biodegradable packaging materials and optimizes the recycling process. It manages data on recyclable materials and calculates the optimal packaging materials and recycling methods. The input is information on recyclable materials, and the output is the optimal packaging materials and recycling methods.

[0970] Step 9:

[0971] The server provides consumers with environmentally conscious information and educational materials. It provides information through websites and mobile apps, and creates and provides videos, brochures, and online courses. The input is the content of the educational materials, and the output is the information provided to consumers.

[0972] Step 10:

[0973] The server uses the prompt sentence to input into the generative AI model and generate an optimal supply plan. A supply plan is generated by creating a prompt sentence and inputting it into the generative AI model. The input is the prompt sentence, and the output is the generated supply plan.

[0974] In this way, by performing the necessary data processing and calculations at each step, the system will help realize efficient and sustainable agriculture and food supply chains.

[0975] (Application example 1)

[0976] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0977] There is a need to optimize agricultural supply chains and improve sustainability and energy efficiency through information collection and database management from local producers. However, existing systems do not adequately manage producer information centrally, optimize the balance between supply and demand, calculate efficient cooling systems and transportation routes, propose renewable energy sources, or educate consumers. Furthermore, efficient logistics management is difficult because they do not utilize generative AI models to propose supply plans or notify optimization results via smartphone applications. These issues must be resolved.

[0978] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0979] In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for notifying a smartphone application of the results of the algorithm for optimizing the balance between supply and demand, means for notifying the smartphone of optimal cooling system settings and transportation routes, and means for the generative AI model to propose a supply plan based on prompt text, thereby enabling optimization of the agricultural product supply chain, improved sustainability, and efficient logistics management.

[0980] "Local producer" refers to an individual or entity that produces agricultural or other products within a specific geographic area.

[0981] "Gathering information" refers to compiling, recording, and storing specific data or knowledge.

[0982] A "database" refers to a computer system or software for organizing, efficiently accessing, and managing data.

[0983] "Optimizing the supply balance" refers to eliminating the imbalance between supply and demand and building the most efficient and economical supply system.

[0984] An "algorithm" refers to a set of computational steps or processing rules for solving a particular problem.

[0985] "Efficient cooling systems" refers to a general term for cooling equipment and refrigeration technologies that maintain the right temperature while saving energy.

[0986] "Insulating material" refers to a material used to inhibit the conduction of heat and minimize temperature changes.

[0987] "Renewable energy sources" refer to energy sources such as solar, wind, and hydroelectric power that can be used once and then continue to be regenerated.

[0988] "Consumer education" refers to educational activities aimed at providing consumers with knowledge and raising their awareness about environmental considerations and sustainability.

[0989] "Smartphone application" refers to a software program that runs on a smartphone.

[0990] A "generative AI model" refers to a system that uses artificial intelligence algorithms to generate outputs based on specific inputs.

[0991] A "prompt" refers to an instruction or question that is input into a generative AI model.

[0992] "Proposing a supply plan" refers to making a proposal that specifically indicates the optimal supply method and procedures.

[0993] "Means of notification" refers to the methods and techniques used to communicate specific information to interested parties.

[0994] The system in this example collects information from local producers, stores it in a database, optimizes the balance between supply and demand, calculates efficient cooling systems and insulation materials, suggests renewable energy sources, educates consumers, notifies them of the optimization results via a smartphone application, and proposes a supply plan using a generative AI model.

[0995] Collecting producer information and storing it in a database

[0996] The server receives information entered by local producers and stores it in a database, including the producer's name, location, contact information, product type and quantity, etc. The data is managed using the Django framework.

[0997] Optimizing the balance between supply and demand

[0998] The server runs an algorithm to optimize the balance between supply and demand based on producer information and local demand data in the database. The optimization results are notified to local producers and logistics companies. The optimization algorithm is implemented using Python and provides a supply plan for each individual demand amount.

[0999] Calculation of efficient cooling systems and insulation materials

[1000] The server calculates the most efficient cooling system and insulation materials and notifies the logistics company of the results. The cooling system calculates parameters to minimize energy consumption and preserve the crops in optimal conditions.

[1001] Proposal of renewable energy sources

[1002] The server will advise growers on the adoption of renewable energy sources, including the installation of solar panels and wind turbines, and will also provide designs for energy-efficient heating and cooling systems.

[1003] consumer education

[1004] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational videos and online courses on carbon-neutral food supply chains.

[1005] Notification of optimization results to smartphone application

[1006] The server notifies the smartphone application of information such as the results of optimizing the balance between supply and demand, efficient cooling system settings, optimal transportation routes, etc. This notification function makes it possible to communicate optimization results to relevant parties in real time.

[1007] Supply planning proposals using generative AI models

[1008] The server uses a generative AI model to propose a supply plan. It generates the optimal supply method based on a prompt statement and provides it to producers and logistics companies. The prompt statement has the following format:

[1009] Prompt Sentence Examples

[1010] "Propose a plan to optimize the balance between supply and demand for tomatoes in the region Tokyo."

[1011] In this way, a system with a wide range of functions can optimize agricultural supply chains and improve sustainability.

[1012] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1013] Step 1:

[1014] Local producers enter their information into a smartphone application, including the producer's name, location, contact information, product type, and quantity. The data entered by the producer is sent to a server via the application.

[1015] Step 2:

[1016] The server stores the received producer information in a database. The database has a table for managing individual producer information using the Django framework. The input data is saved in the appropriate fields for later use.

[1017] Step 3:

[1018] The server collects and stores regional demand data in a database, which includes the consumer needs for specific products in each region, and this data is also stored in a separate table in the database.

[1019] Step 4:

[1020] The server runs an algorithm to optimize the balance between supply and demand based on producer information and demand data stored in the database. The input data are producer information and demand data, and the output data is an optimized supply plan. The optimization algorithm is implemented in Python and calculates the matching of supply and demand and the supply schedule.

[1021] Step 5:

[1022] The server then sends the optimized supply plan to the smartphone application. This notification includes the products that each producer should supply, their quantities, destinations, and supply times. Producers can check their own supply plans through the application.

[1023] Step 6:

[1024] The server runs an algorithm to calculate the most efficient cooling system and insulation materials. The input data is the characteristics of the product being transported and the required storage conditions, and the output data is the optimal cooling system and insulation material settings. The calculation results are notified to the logistics company via a smartphone application.

[1025] Step 7:

[1026] The server then makes suggestions to farmers on how to install renewable energy sources (e.g., solar panels or wind power), including recommendations for energy-efficient lighting systems and heating and cooling systems. The suggestions are then communicated to the farmers via the application.

[1027] Step 8:

[1028] The server provides consumers with environmentally friendly information and educational materials, including how to use reusable bags, advice on reducing food waste, and educational videos and online courses on carbon-neutral food supply chains, which consumers can view within the app.

[1029] Step 9:

[1030] The server inputs the prompt into the generative AI model to propose a supply plan. An example of a prompt is, "Please propose a plan that optimizes the balance between supply and demand for tomatoes in the Tokyo region." The generative AI model generates an optimal supply plan based on this prompt and returns the result to the server.

[1031] Step 10:

[1032] The server stores the supply plan received from the generative AI model in a database and notifies the plan to producers and logistics companies, allowing producers to implement optimal supply methods and logistics companies to ensure efficient delivery.

[1033] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1034] In the system of the present invention, embodiments based on the following specific examples will be described.

[1035] Collecting information on local producers and storing it in a database

[1036] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[1037] Demand and supply optimization

[1038] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[1039] Efficient cooling systems and optimized transport routes

[1040] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[1041] Proposing renewable energy sources and improving energy efficiency

[1042] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[1043] Reducing plastics and increasing recycling efficiency

[1044] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[1045] consumer education

[1046] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[1047] Introducing the Emotion Engine

[1048] The server recognizes the user's emotions using an emotion engine, which analyzes the emotional state of the consumer when receiving information.

[1049] Customized information provision based on emotions

[1050] The server uses an emotion engine to collect emotional data about the consumer and customizes the information and educational materials it provides based on that emotion. For example, if the consumer is feeling stressed, it will select a method of providing information that will help them relax.

[1051] Analyzing emotional data and optimizing information delivery methods

[1052] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[1053] Specific examples

[1054] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[1055] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[1056] Using the emotion engine, the server collects and analyzes consumer emotion data and provides optimal information according to the consumer's emotional state. It also utilizes feedback from the emotion engine to continuously optimize the way information is provided.

[1057] By using this system, vegetable producer A can supply food in a sustainable way that minimizes energy consumption, provide services that are responsive to consumer sentiment, and contribute to carbon neutrality for the entire region.

[1058] The processing flow will be explained below.

[1059] Collecting information on local producers and storing it in a database

[1060] Step 1:

[1061] The server receives information provided by local growers, including their name, location, and crops grown.

[1062] Step 2:

[1063] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[1064] Step 3:

[1065] The server stores the verified information in a database that contains structured data for efficient future analysis.

[1066] Demand and supply optimization

[1067] Step 1:

[1068] The server reads producer information and local demand data stored in a database.

[1069] Step 2:

[1070] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[1071] Step 3:

[1072] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[1073] Efficient cooling systems and optimized transport routes

[1074] Step 1:

[1075] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[1076] Step 2:

[1077] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[1078] Step 3:

[1079] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[1080] Proposing renewable energy sources and improving energy efficiency

[1081] Step 1:

[1082] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[1083] Step 2:

[1084] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[1085] Step 3:

[1086] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[1087] Reducing plastics and increasing recycling efficiency

[1088] Step 1:

[1089] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[1090] Step 2:

[1091] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[1092] Step 3:

[1093] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[1094] consumer education

[1095] Step 1:

[1096] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[1097] Step 2:

[1098] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[1099] Step 3:

[1100] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[1101] Introducing the Emotion Engine

[1102] Step 1:

[1103] The server uses an emotion engine to recognize the user's emotions, which is done to capture the user's emotional state in real time as they receive information.

[1104] Step 2:

[1105] The server stores the collected emotion data in a database and continuously analyzes it.

[1106] Step 3:

[1107] The server grasps the trends and fluctuations of emotions based on the user's emotional data.

[1108] Customized information provision based on emotions

[1109] Step 1:

[1110] The server uses the emotion engine to collect data on the user's emotions and customizes the information and educational materials it provides. For example, if the user is feeling stressed, it will provide relaxing content.

[1111] Step 2:

[1112] The server provides the user with customized information that is tailored to help the user learn most effectively.

[1113] Analyzing emotional data and optimizing information delivery methods

[1114] Step 1:

[1115] The server analyzes the user's emotional data and evaluates the effectiveness of the environmentally conscious information and educational materials provided.

[1116] Step 2:

[1117] The server optimizes the information presentation method based on the evaluation results. For example, it analyzes how specific information affected the user and adjusts the information presentation method to maximize its effect.

[1118] Step 3:

[1119] The server implements an optimized information providing method and continuously provides effective information to the user.

[1120] As a result, this system can realize a carbon-neutral food supply and provide optimal information according to the user's emotions.As a specific example, there is a case where vegetable producer A improved energy efficiency, provided emotional services, and achieved a sustainable food supply.

[1121] Example 2

[1122] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1123] Modern agricultural production requires optimizing the balance of supply and demand between producers and consumers, and achieving efficient logistics and energy management. It is also important to select packaging materials that take environmental considerations into account and to increase recycling efficiency. Furthermore, it is desirable to improve consumer satisfaction by providing information tailored to consumer sentiment. However, systems for centrally managing and optimizing these aspects are not widely available. Therefore, there is a need for a comprehensive system that can handle everything from collecting information on local producers to optimizing logistics, considering the environment, and providing information based on consumer sentiment.

[1124] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulating materials, means for proposing renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for collecting and analyzing user emotion data, and means for customizing the information to be provided based on the user emotion data. This enables efficient data management of local producers, optimization of supply and demand, and further improvement of environmental friendliness and consumer satisfaction.

[1125] "Producer information" is data provided by local producers, such as their names, addresses, and crop types.

[1126] The "means for optimizing the balance between supply and demand" refers to an algorithm and its execution environment that optimizes supply plans based on producer information and demand data.

[1127] An "efficient cooling system" is one that calculates and applies effective cooling methods and set temperatures to maintain product integrity during transport.

[1128] "Insulating materials" are materials used to improve the effectiveness of cooling systems, helping to control temperature while minimizing energy consumption.

[1129] "Renewable energy sources" refers to energy sources that can be obtained sustainably from the natural environment, such as solar power and wind power.

[1130] "Environmental information" is information provided to consumers that contributes to environmental protection, such as using reusable products and reducing food waste.

[1131] "Educational materials" are content such as educational videos, brochures, and online courses that promote environmentally friendly behavior.

[1132] "User emotional data" refers to data that indicates the user's emotional state and is information obtained using facial recognition or other emotional analysis techniques.

[1133] The "means for customizing the information provided" refers to a method for optimizing the content and format of the information and educational materials provided based on the collected emotional data of the user.

[1134] The system of the present invention consistently executes all processes, from collecting information on local producers to optimizing supply plans and providing information to consumers, enabling efficient distribution and information exchange between local producers and consumers.

[1135] 1. Collecting information on local producers and storing it in a database

[1136] The server receives information provided by local producers and stores it in a database. This process uses, for example, a Windows Server or Linux-based server system and a database management system such as MySQL or PostgreSQL. When producers use their devices (PCs or smartphones) to enter information into a dedicated web form and press the submit button, the server receives the information and stores it in the database.

[1137] 2. Optimizing supply and demand

[1138] The server retrieves producer information from a database and combines it with demand data. The server then applies an algorithm to optimize the balance between supply and demand. This algorithm is often implemented in Python or R, for example. The optimized plan is then communicated to producers and logistics companies. The algorithm for creating the supply plan may use linear programming.

[1139] 3. Efficient cooling systems and optimized transport routes

[1140] The server calculates the optimal parameters for refrigerated and frozen transport. This process uses data from temperature sensors and cooling system specifications. It also uses the Google Maps API to calculate the shortest and most efficient transport route. The results are then sent to the logistics company as detailed instructions.

[1141] 4. Proposing renewable energy sources and improving energy efficiency

[1142] The server collects and analyzes energy consumption data from producers and suggests the introduction of renewable energy sources, including simulating the installation of solar and wind power plants, as well as designing energy-efficient heating and cooling systems to minimize energy consumption.

[1143] 5. Reducing plastics and improving recycling efficiency

[1144] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and proposes optimal recycling methods and provides specific implementation plans to optimize the recycling process.

[1145] 6. Consumer education

[1146] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational materials (such as instructional videos, brochures, and online courses) on carbon-neutral food supply chains.

[1147] 7. Introducing an emotion engine and customizing information provision based on emotions

[1148] The server uses an emotion engine to recognize the user's emotions. This analyzes the emotional state of the consumer when receiving information, and typically uses a facial recognition API (e.g., Microsoft Azure Face API or Amazon Rekognition). Based on the results of the emotion engine, the server can customize the content of information and educational materials provided to consumers in a way that helps reduce their stress.

[1149] 8. Analyzing emotional data and optimizing information delivery methods

[1150] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[1151] Specific examples

[1152] As a concrete example, consider a case where a local vegetable producer A wants to practice sustainable agriculture, efficiently transport produce, and improve energy efficiency. Producer A inputs information from a terminal, which the server receives and stores in a MySQL database. The server then optimizes a supply plan based on demand data within the region and notifies Producer A of the plan. Next, it calculates a cooling system and transportation route, and notifies the carrier of the details. Furthermore, the server suggests to Producer A that they introduce renewable energy sources and recommend the use of biodegradable packaging materials. Finally, it provides consumers with environmentally friendly information and related educational materials.

[1153] Prompt Sentence Examples

[1154] A personalized prompt might be, "I'd like to know how to recycle used plastic packaging" or "What courses can I take to learn about sustainable agriculture?"

[1155] In this way, the system of the present invention enables efficient supply chains and information exchange between local producers and consumers, improving environmental friendliness and consumer satisfaction.

[1156] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1157] Step 1:

[1158] The server receives information (such as name, address, and type of crop) entered by local producers from their devices and stores it in a database. Specifically, producers enter information into a dedicated web form on their devices (PCs or smartphones) and press the submit button. This sends the entered data to the server. The server receives this data, checks for formatting and duplicates, and then stores it in a MySQL database.

[1159] Input: Producer information (name, address, type of crop, etc.)

[1160] Output: Producer information stored in the database

[1161] Step 2:

[1162] The server retrieves producer information from the database and combines it with demand data to optimize the balance between supply and demand. It uses a Python script to run an optimization algorithm and create a supply plan. The optimized supply plan is then notified to producers and logistics companies. Specifically, the server uses SQL queries to retrieve the necessary information from the database, combines it with demand forecast data (market data, etc.), and applies the algorithm.

[1163] Input: Producer information and demand data obtained from the database

[1164] Output: Optimized supply plan

[1165] Step 3:

[1166] The server calculates the optimal parameters for refrigerated and frozen transport. This uses temperature sensor and cooling system specification data. It then uses Google Maps API to calculate the shortest and most efficient transport route. The calculation results are sent to the logistics company. Specifically, the server receives data from the sensors and calculates the optimal set temperature based on the cooling system specifications. It then uses Google Maps API to calculate the optimal transport route and notifies the logistics company of the results.

[1167] Input: Temperature sensor data, cooling system specification data

[1168] Output: Optimal cooling parameters and transport routes

[1169] Step 4:

[1170] The server collects and analyzes energy consumption data from producers and proposes the introduction of renewable energy sources. Specifically, it acquires smart meter data, analyzes consumption patterns, and performs simulations of solar and wind power generation. The results are then notified to producers.

[1171] Input: Smart meter data

[1172] Output: Proposed introduction of renewable energy sources

[1173] Step 5:

[1174] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and also proposes optimal recycling methods and provides specific implementation plans.

[1175] Input: Database of packaging materials

[1176] Output: Implementation plan for recommended packaging materials and recycling methods

[1177] Step 6:

[1178] The server will provide consumers with environmentally friendly information and educational materials, such as information on using reusable bags and reducing food waste, via a website and app, as well as creating and distributing educational videos and pamphlets online.

[1179] Input: Environmental considerations information

[1180] Output: Consumer education materials

[1181] Step 7:

[1182] The server uses an emotion engine to recognize the user's emotions. It uses a facial recognition API to analyze the user's facial image and evaluate their emotional state. Based on the results, it customizes the way it presents information. Specifically, it selects a relaxing way of presenting information to reduce stress based on the emotional data.

[1183] Input: User's face image

[1184] Output: Emotion data

[1185] Step 8:

[1186] The server analyzes the collected user emotion data using an emotion engine and evaluates the effectiveness of the environmentally conscious information and educational materials provided. Based on the evaluation results, the information delivery method is optimized. Specifically, the emotion data is recorded in a log and the content delivery method is improved based on the effectiveness analysis.

[1187] Input: Emotion data

[1188] Output: Optimized information presentation

[1189] (Application example 2)

[1190] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1191] Modern society demands the creation of sustainable food supply chains and consideration for the environment. However, providing consumers with sustainable options and effectively educating them about them is a difficult task. It is particularly important to understand consumers' emotional state and provide information at the right time and through the right means. Collecting and managing information from local producers, optimizing supply and demand, streamlining cooling systems, promoting renewable energy, and reducing plastics are also important. The challenge of this invention is to integrate these complex elements and provide an effective system.

[1192] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1193] In this invention, the server includes: means for collecting information from local producers and storing it in a database; means for optimizing the balance between supply and demand based on the producer information stored in the database; means for calculating efficient cooling systems and insulation materials; means for suggesting renewable energy sources; means for providing environmentally conscious information and educational materials to consumers; an emotion engine for collecting and analyzing consumer emotion data; and means for customizing the information and educational materials provided based on the emotion data. This enables the provision of customized environmental education and sustainable choices according to consumer emotion. Furthermore, it is possible to optimize the balance between supply and demand in the region, increase energy efficiency, and reduce plastic use.

[1194] "Information from local producers" refers to information about production activities and products provided by individuals or organizations engaged in agricultural or production activities in a particular region.

[1195] A "database" is a system that stores collected information in an organized manner and makes it quickly and easily accessible when needed.

[1196] "Balance of supply and demand" refers to the state of equilibrium between the demand for a product (willingness to consume) and the supply (capacity to produce and provide) in a particular area.

[1197] An "efficient cooling system" is one that provides optimal cooling while minimizing energy consumption.

[1198] An "insulating material" is a material that prevents heat conduction and keeps the internal temperature constant.

[1199] "Renewable energy sources" are energy resources that are permanently supplied from the natural environment, including solar, wind, and hydroelectric power.

[1200] "Environmental information" refers to knowledge and practices related to protecting the natural environment and sustainable lifestyles.

[1201] "Educational materials" are materials created in the form of pamphlets, videos, online courses, etc. that provide specific environmental practices and knowledge.

[1202] "Consumer emotion data" is data that indicates the emotional state of a consumer when receiving information, and is collected using an emotion engine.

[1203] An "emotion engine" is a technology for analyzing a user's emotional state and assessing the consumer's psychological state.

[1204] "Customizing information and educational materials" refers to the creation and delivery of information and educational materials that are personalized according to the consumer's emotional state.

[1205] The system of the present invention collects information from local producers and stores it in a database to build a sustainable food supply chain. Here, the server, terminal, and user each play their own role and support the operation of the entire system. Specific embodiments of the present invention are described below.

[1206] Collecting information and storing it in a database

[1207] The server receives information provided by local producers and stores it in a database. This information includes production volume, harvest time, transportation conditions, etc. The server can centrally manage this information.

[1208] Demand and supply optimization

[1209] The server uses the producer information stored in the database, as well as regional demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to producers and logistics companies.

[1210] Cooling Systems and Insulation Materials

[1211] The server calculates efficient cooling systems and insulation materials, determining optimal parameters for refrigerated and frozen transport, minimizing energy consumption and ensuring products reach consumers in optimal condition.

[1212] Proposal of renewable energy sources

[1213] The server will suggest the introduction of renewable energy sources, for example, encouraging the use of solar panels and wind turbines, and designing energy-efficient methods to reduce energy consumption.

[1214] Providing environmental information and educational materials

[1215] The server provides consumers with information on environmental considerations, and also creates educational materials such as pamphlets and online courses, which are then provided to consumers.

[1216] Introducing an emotion engine and analyzing emotion data

[1217] The server uses an emotion engine to recognize, collect, and analyze consumer emotions. Based on this emotional data, the server customizes the information and educational materials provided to suit the consumer's emotional state. By detecting the consumer's stress level and providing information that helps them relax, more effective education becomes possible.

[1218] Specific examples

[1219] For example, consider a local consumer using smart glasses while shopping in a physical store. The server analyzes the consumer's emotional state in real time, providing more information when the consumer is relaxed and less information when the consumer is stressed. This system can help consumers understand sustainable products.

[1220] Prompt Sentence Examples

[1221] When a consumer wears smart glasses in a store and selects sustainable products, consider an application that uses an emotion engine to detect the consumer's emotional state (e.g., "happy") and provide appropriate information.

[1222] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1223] Step 1:

[1224] The server collects information from local producers and stores it in a database.

[1225] Specifically, the system receives information provided by producers, such as production volume, harvest time, and transportation conditions, via API and stores it in a database. The input is producer information data, and the output is the updated database.

[1226] Step 2:

[1227] The server takes in producer information and regional demand data stored in the database and applies an algorithm that optimizes the balance between supply and demand.

[1228] Specifically, it analyzes regional demand data using a demand forecasting algorithm and optimizes the supply plan. The input is producer information data and demand data, and the output is an optimized supply plan.

[1229] Step 3:

[1230] The server calculates efficient cooling systems and insulation materials.

[1231] Specifically, it analyzes the conditions for refrigerated and frozen transport and proposes the optimal cooling system and insulation materials to use. The input is logistics condition data, and the output is a recommended cooling system and insulation materials.

[1232] Step 4:

[1233] The server proposes the introduction of renewable energy sources.

[1234] Specifically, it analyzes energy consumption data and proposes the introduction of energy-efficient solar panels and wind power generation systems. The input is energy consumption data, and the output is renewable energy proposals.

[1235] Step 5:

[1236] The server provides environmentally friendly information and educational materials to consumers.

[1237] Specifically, the system creates pamphlets and online courses containing environmentally friendly knowledge and practices and distributes them to consumers. The input is educational material content, and the output is providing information to consumers.

[1238] Step 6:

[1239] The server uses an emotion engine to collect and analyze consumer emotion data.

[1240] Specifically, it uses emotion recognition technology to analyze consumers' real-time emotions. The input is consumer emotion data, and the output is the emotion analysis results.

[1241] Step 7:

[1242] The server customizes the information and educational materials provided based on the emotional data.

[1243] Specifically, it provides information at the optimal timing and in the optimal way to match the consumer's emotional state. The input is emotional data and educational materials, and the output is customized information.

[1244] 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.

[1245] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1246] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1247] [Fourth embodiment]

[1248] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1249] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1250] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1251] 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.

[1252] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1253] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1254] 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.

[1255] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1256] 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.

[1257] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1258] 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.

[1259] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1260] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1261] In the system of the present invention, embodiments based on the following specific examples will be described.

[1262] Collecting information on local producers and storing it in a database

[1263] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[1264] Demand and supply optimization

[1265] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[1266] Efficient cooling systems and optimized transport routes

[1267] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[1268] Proposing renewable energy sources and improving energy efficiency

[1269] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[1270] Reducing plastics and increasing recycling efficiency

[1271] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[1272] consumer education

[1273] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[1274] Specific examples

[1275] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[1276] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[1277] By using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption and contributes to carbon neutrality for the entire region.

[1278] The processing flow will be explained below.

[1279] Collecting information on local producers and registering them in a database

[1280] Step 1:

[1281] The server receives information provided by local growers, including their name, location, and crops grown.

[1282] Step 2:

[1283] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[1284] Step 3:

[1285] The server stores the verified information in a database that contains structured data for efficient future analysis.

[1286] Demand and supply optimization

[1287] Step 1:

[1288] The server reads producer information and local demand data stored in a database.

[1289] Step 2:

[1290] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[1291] Step 3:

[1292] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[1293] Efficient cooling systems and optimized transport routes

[1294] Step 1:

[1295] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[1296] Step 2:

[1297] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[1298] Step 3:

[1299] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[1300] Proposing renewable energy sources and improving energy efficiency

[1301] Step 1:

[1302] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[1303] Step 2:

[1304] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[1305] Step 3:

[1306] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[1307] Reducing plastics and increasing recycling efficiency

[1308] Step 1:

[1309] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[1310] Step 2:

[1311] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[1312] Step 3:

[1313] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[1314] consumer education

[1315] Step 1:

[1316] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[1317] Step 2:

[1318] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[1319] Step 3:

[1320] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[1321] By taking these steps, it is possible to create a carbon-neutral food supply chain across the region that operates efficiently and sustainably.

[1322] Example 1

[1323] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1324] Modern agriculture and food supply chains face multiple challenges, including managing producer information, optimizing the balance between supply and demand, introducing efficient cooling systems, proposing renewable energy, selecting packaging materials and promoting recycling, and educating consumers about the environment. While a system that can efficiently and comprehensively address these challenges is needed, no comprehensive system currently exists that includes all the elements. Therefore, there is a need to provide a system that can comprehensively address these multiple challenges.

[1325] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1326] In this invention, the server includes means for collecting information from producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for recommending biodegradable packaging materials, means for optimizing recycling processes, means for providing environmentally friendly information and educational materials to consumers, means for collecting demand data and storing it in a database, means for inputting the data into a generative AI model using prompt sentences, means for optimizing a supply plan and notifying producers and logistics companies of the plan, and means for calculating optimized cooling parameters and transportation routes and notifying transport companies. This makes it possible to solve multiple agricultural problems in an integrated and efficient manner.

[1327] "Producer information" is data related to agricultural production, including the producer's name, location, crops grown, and yields.

[1328] A "database" is a system that organizes and stores collected information and allows it to be searched and updated as needed.

[1329] "Demand data" is information provided by consumers and stores about the crops needed, the quantity, and the timing of supply.

[1330] "Optimizing the supply and demand balance" is the process of optimally adjusting supply plans based on collected producer information and demand data.

[1331] A "cooling system" is a piece of machinery used to maintain crops and food at the appropriate temperature.

[1332] "Insulating material" means a material used to reduce the transfer of heat and is contemplated for use in cooling systems.

[1333] "Renewable energy sources" refers to sustainable energy sources obtained from nature, such as solar, wind, and hydropower.

[1334] "Biodegradable packaging" is packaging made from materials that are biodegradable in the natural environment.

[1335] A "recycling process" is a series of steps that return used materials to a reusable state.

[1336] "Consumer education" refers to activities that provide consumers with information on environmentally conscious and sustainable consumption behavior and raise their awareness.

[1337] A "generative AI model" is an algorithm or software that uses artificial intelligence technology to generate and optimize data.

[1338] A "prompt sentence" is a sentence containing specific instructions or questions to be input into a generative AI model.

[1339] A "supply plan" is a plan created to achieve efficient supply, taking into account the balance of supply and demand.

[1340] A "transportation route" is the optimal route for transporting goods from a departure point to a destination.

[1341] This invention is a system for comprehensively resolving multiple issues in agriculture and food supply chains. This system functions mainly as a server, terminals, and users.

[1342] The server collects information provided by producers and stores it in a database. This database uses a database management system such as MySQL or PostgreSQL. The server applies an algorithm to optimize the balance between supply and demand based on producer information and demand data. This process uses Python's Pandas library and Scikit-learn.

[1343] The server also calculates efficient cooling systems and insulation materials, providing optimal cooling parameters to ensure proper storage of crops. It also suggests the use of renewable energy sources and recommends the use of biodegradable packaging materials, thereby minimizing the environmental impact.

[1344] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, through a website and mobile app, as well as videos, brochures and online courses.

[1345] The server also collects demand data and stores it in a database. Based on the collected data, the server inputs it into a generative AI model using prompt statements. The generative AI model optimizes the supply plan, and the results are notified to producers and logistics companies. The server also uses the Google Maps API to calculate the optimal transportation route and notify the transportation company.

[1346] Software and hardware used

[1347] Database management systems: MySQL, PostgreSQL

[1348] Programming languages ​​and libraries: Python, Pandas, Scikit-learn

[1349] API: Google Maps API

[1350] Optimization software: HOMER Energy

[1351] Specific examples

[1352] Consider a local vegetable grower, A, who wants to practice sustainable agriculture and improve energy efficiency through efficient refrigerated transport.

[1353] 1. The server receives information about vegetable producer A and stores it in the database.

[1354] 2. Optimize the supply plan based on demand data within the region and notify Farmer A of the plan.

[1355] 3. The server calculates the optimal cooling system and transportation route and notifies the carrier of the details.

[1356] 4. The server proposes to vegetable producer A that they introduce renewable energy sources and encourage the use of biodegradable packaging materials.

[1357] 5. The server provides consumers with environmentally friendly information and related educational materials.

[1358] Example prompt sentence:

[1359] "Please provide an optimization plan to help local vegetable grower A improve energy efficiency while practicing sustainable agriculture and providing efficient refrigerated transportation."

[1360] Using this system, vegetable producer A can supply food in a sustainable manner that minimizes energy consumption, contributing to carbon neutrality for the entire region.

[1361] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1362] Step 1:

[1363] The server collects information from farmers and stores it in a database. Farmers enter information such as their name, location, crops grown, and yield into a web form and click the submit button. The server receives the information and stores it in a database. Specifically, it executes an INSERT statement using MySQL or PostgreSQL. The input is the information provided by the farmer, and the output is a record stored in the database.

[1364] Step 2:

[1365] The server collects demand data provided by consumers and stores and stores it in a database. Consumers and stores input the crops they need, the quantity, the desired supply time, etc. from their terminals and click the send button. The server receives the provided demand data and stores it in a database. The input is the demand data provided by consumers and stores, and the output is the records stored in the database.

[1366] Step 3:

[1367] The server optimizes the supply plan based on producer information and demand data stored in the database. It processes data and executes optimization algorithms using Python's Pandas library and Scikit-learn. It retrieves information from the database and uses the algorithm to calculate the optimal supply plan. The input is producer information and demand data retrieved from the database, and the output is the optimized supply plan.

[1368] Step 4:

[1369] The server notifies the calculated supply plan to producers and logistics companies. The calculation results are converted into email or SMS format and sent as notifications. Producers and logistics companies receive the notifications and take action based on the optimal supply plan. The input is the optimized supply plan, and the output is the sending and receiving of notifications.

[1370] Step 5:

[1371] The server calculates efficient cooling systems and insulation materials. It calculates optimal cooling system parameters based on collected product characteristics (temperature, humidity storage conditions). It obtains the necessary information from the database and applies the algorithm. The input is product characteristics information, and the output is the optimal cooling system parameters.

[1372] Step 6:

[1373] The server uses the Google Maps API to calculate the optimal transportation route. It calculates the route between the origin and destination and optimizes it using real-time traffic information. The input is the origin and destination information, and the output is the optimal transportation route.

[1374] Step 7:

[1375] The server proposes renewable energy sources to producers and warehouses, and creates an energy efficiency optimization plan using software such as HOMER Energy. The input is energy usage information and design parameters, and the output is an optimized energy efficiency plan.

[1376] Step 8:

[1377] The server recommends biodegradable packaging materials and optimizes the recycling process. It manages data on recyclable materials and calculates the optimal packaging materials and recycling methods. The input is information on recyclable materials, and the output is the optimal packaging materials and recycling methods.

[1378] Step 9:

[1379] The server provides consumers with environmentally conscious information and educational materials. It provides information through websites and mobile apps, and creates and provides videos, brochures, and online courses. The input is the content of the educational materials, and the output is the information provided to consumers.

[1380] Step 10:

[1381] The server uses the prompt sentence to input into the generative AI model and generate an optimal supply plan. A supply plan is generated by creating a prompt sentence and inputting it into the generative AI model. The input is the prompt sentence, and the output is the generated supply plan.

[1382] In this way, by performing the necessary data processing and calculations at each step, the system will help realize efficient and sustainable agriculture and food supply chains.

[1383] (Application example 1)

[1384] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1385] There is a need to optimize agricultural supply chains and improve sustainability and energy efficiency through information collection and database management from local producers. However, existing systems do not adequately manage producer information centrally, optimize the balance between supply and demand, calculate efficient cooling systems and transportation routes, propose renewable energy sources, or educate consumers. Furthermore, efficient logistics management is difficult because they do not utilize generative AI models to propose supply plans or notify optimization results via smartphone applications. These issues must be resolved.

[1386] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1387] In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulation materials, means for suggesting renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for notifying a smartphone application of the results of the algorithm for optimizing the balance between supply and demand, means for notifying the smartphone of optimal cooling system settings and transportation routes, and means for the generative AI model to propose a supply plan based on prompt text, thereby enabling optimization of the agricultural product supply chain, improved sustainability, and efficient logistics management.

[1388] "Local producer" refers to an individual or entity that produces agricultural or other products within a specific geographic area.

[1389] "Gathering information" refers to compiling, recording, and storing specific data or knowledge.

[1390] A "database" refers to a computer system or software for organizing, efficiently accessing, and managing data.

[1391] "Optimizing the supply balance" refers to eliminating the imbalance between supply and demand and building the most efficient and economical supply system.

[1392] An "algorithm" refers to a set of computational steps or processing rules for solving a particular problem.

[1393] "Efficient cooling systems" refers to a general term for cooling equipment and refrigeration technologies that maintain the right temperature while saving energy.

[1394] "Insulating material" refers to a material used to inhibit the conduction of heat and minimize temperature changes.

[1395] "Renewable energy sources" refer to energy sources such as solar, wind, and hydroelectric power that can be used once and then continue to be regenerated.

[1396] "Consumer education" refers to educational activities aimed at providing consumers with knowledge and raising their awareness about environmental considerations and sustainability.

[1397] "Smartphone application" refers to a software program that runs on a smartphone.

[1398] A "generative AI model" refers to a system that uses artificial intelligence algorithms to generate outputs based on specific inputs.

[1399] A "prompt" refers to an instruction or question that is input into a generative AI model.

[1400] "Proposing a supply plan" refers to making a proposal that specifically indicates the optimal supply method and procedures.

[1401] "Means of notification" refers to the methods and techniques used to communicate specific information to interested parties.

[1402] The system in this example collects information from local producers, stores it in a database, optimizes the balance between supply and demand, calculates efficient cooling systems and insulation materials, suggests renewable energy sources, educates consumers, notifies them of the optimization results via a smartphone application, and proposes a supply plan using a generative AI model.

[1403] Collecting producer information and storing it in a database

[1404] The server receives information entered by local producers and stores it in a database, including the producer's name, location, contact information, product type and quantity, etc. The data is managed using the Django framework.

[1405] Optimizing the balance between supply and demand

[1406] The server runs an algorithm to optimize the balance between supply and demand based on producer information and local demand data in the database. The optimization results are notified to local producers and logistics companies. The optimization algorithm is implemented using Python and provides a supply plan for each individual demand amount.

[1407] Calculation of efficient cooling systems and insulation materials

[1408] The server calculates the most efficient cooling system and insulation materials and notifies the logistics company of the results. The cooling system calculates parameters to minimize energy consumption and preserve the crops in optimal conditions.

[1409] Proposal of renewable energy sources

[1410] The server will advise growers on the adoption of renewable energy sources, including the installation of solar panels and wind turbines, and will also provide designs for energy-efficient heating and cooling systems.

[1411] consumer education

[1412] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational videos and online courses on carbon-neutral food supply chains.

[1413] Notification of optimization results to smartphone application

[1414] The server notifies the smartphone application of information such as the results of optimizing the balance between supply and demand, efficient cooling system settings, optimal transportation routes, etc. This notification function makes it possible to communicate optimization results to relevant parties in real time.

[1415] Supply planning proposals using generative AI models

[1416] The server uses a generative AI model to propose a supply plan. It generates the optimal supply method based on a prompt statement and provides it to producers and logistics companies. The prompt statement has the following format:

[1417] Prompt Sentence Examples

[1418] "Propose a plan to optimize the balance between supply and demand for tomatoes in the region Tokyo."

[1419] In this way, a system with a wide range of functions can optimize agricultural supply chains and improve sustainability.

[1420] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1421] Step 1:

[1422] Local producers enter their information into a smartphone application, including the producer's name, location, contact information, product type, and quantity. The data entered by the producer is sent to a server via the application.

[1423] Step 2:

[1424] The server stores the received producer information in a database. The database has a table for managing individual producer information using the Django framework. The input data is saved in the appropriate fields for later use.

[1425] Step 3:

[1426] The server collects and stores regional demand data in a database, which includes the consumer needs for specific products in each region, and this data is also stored in a separate table in the database.

[1427] Step 4:

[1428] The server runs an algorithm to optimize the balance between supply and demand based on producer information and demand data stored in the database. The input data are producer information and demand data, and the output data is an optimized supply plan. The optimization algorithm is implemented in Python and calculates the matching of supply and demand and the supply schedule.

[1429] Step 5:

[1430] The server then sends the optimized supply plan to the smartphone application. This notification includes the products that each producer should supply, their quantities, destinations, and supply times. Producers can check their own supply plans through the application.

[1431] Step 6:

[1432] The server runs an algorithm to calculate the most efficient cooling system and insulation materials. The input data is the characteristics of the product being transported and the required storage conditions, and the output data is the optimal cooling system and insulation material settings. The calculation results are notified to the logistics company via a smartphone application.

[1433] Step 7:

[1434] The server then makes suggestions to farmers on how to install renewable energy sources (e.g., solar panels or wind power), including recommendations for energy-efficient lighting systems and heating and cooling systems. The suggestions are then communicated to the farmers via the application.

[1435] Step 8:

[1436] The server provides consumers with environmentally friendly information and educational materials, including how to use reusable bags, advice on reducing food waste, and educational videos and online courses on carbon-neutral food supply chains, which consumers can view within the app.

[1437] Step 9:

[1438] The server inputs the prompt into the generative AI model to propose a supply plan. An example of a prompt is, "Please propose a plan that optimizes the balance between supply and demand for tomatoes in the Tokyo region." The generative AI model generates an optimal supply plan based on this prompt and returns the result to the server.

[1439] Step 10:

[1440] The server stores the supply plan received from the generative AI model in a database and notifies the plan to producers and logistics companies, allowing producers to implement optimal supply methods and logistics companies to ensure efficient delivery.

[1441] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1442] In the system of the present invention, embodiments based on the following specific examples will be described.

[1443] Collecting information on local producers and storing it in a database

[1444] The server receives information provided by local producers and stores it in a database, allowing information on local farmers and producers to be managed centrally.

[1445] Demand and supply optimization

[1446] The server uses the producer information stored in the database, as well as local demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to the relevant producers and logistics companies.

[1447] Efficient cooling systems and optimized transport routes

[1448] The server calculates optimal parameters for refrigerated and frozen transport, including the selection of efficient cooling systems and insulation materials, and calculates optimal transport routes, minimizing energy consumption and ensuring produce reaches consumers in optimal condition.

[1449] Proposing renewable energy sources and improving energy efficiency

[1450] The server will propose the installation of renewable energy sources, such as solar panels and wind turbines, and will also design energy-efficient lighting, heating and cooling systems to further reduce energy consumption on farms and in warehouses.

[1451] Reducing plastics and increasing recycling efficiency

[1452] The server recommends environmentally friendly and biodegradable packaging materials, and also proposes optimal recycling methods and provides specific implementation plans to streamline the recycling process.

[1453] consumer education

[1454] The server will provide consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste, and will also create and provide educational materials on carbon-neutral food supply chains, such as instructional videos, brochures and online courses.

[1455] Introducing the Emotion Engine

[1456] The server recognizes the user's emotions using an emotion engine, which analyzes the emotional state of the consumer when receiving information.

[1457] Customized information provision based on emotions

[1458] The server uses an emotion engine to collect emotional data about the consumer and customizes the information and educational materials it provides based on that emotion. For example, if the consumer is feeling stressed, it will select a method of providing information that will help them relax.

[1459] Analyzing emotional data and optimizing information delivery methods

[1460] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[1461] Specific examples

[1462] As a concrete example, consider the case where vegetable producer A in a certain region wants to practice sustainable agriculture and improve energy efficiency while providing efficient refrigerated transportation. First, the server receives information about vegetable producer A and stores it in a database. Then, it optimizes a supply plan based on demand data within the region and notifies farmer A of the plan. Next, the server calculates the optimal cooling system and transportation route and notifies the details to the shipping company.

[1463] Furthermore, the server will suggest the introduction of renewable energy sources and encourage the use of biodegradable packaging materials to vegetable producer A. Finally, the server will provide environmentally friendly information and related educational materials to consumers.

[1464] Using the emotion engine, the server collects and analyzes consumer emotion data and provides optimal information according to the consumer's emotional state. It also utilizes feedback from the emotion engine to continuously optimize the way information is provided.

[1465] By using this system, vegetable producer A can supply food in a sustainable way that minimizes energy consumption, provide services that are responsive to consumer sentiment, and contribute to carbon neutrality for the entire region.

[1466] The processing flow will be explained below.

[1467] Collecting information on local producers and storing it in a database

[1468] Step 1:

[1469] The server receives information provided by local growers, including their name, location, and crops grown.

[1470] Step 2:

[1471] The server validates the information it receives, checking that the data is accurate and complete and asking for reconfirmation of any incomplete data.

[1472] Step 3:

[1473] The server stores the verified information in a database that contains structured data for efficient future analysis.

[1474] Demand and supply optimization

[1475] Step 1:

[1476] The server reads producer information and local demand data stored in a database.

[1477] Step 2:

[1478] The server applies an algorithm that optimizes the balance between supply and demand, generating an optimal supply plan that takes into account supply volume and consumer demand.

[1479] Step 3:

[1480] The server stores the generated supply plan in a database and notifies the relevant parties, including producers and distributors.

[1481] Efficient cooling systems and optimized transport routes

[1482] Step 1:

[1483] The server calculates the optimal cooling system and insulation required for refrigerated and frozen transport, including the temperature settings and the characteristics of the insulation used.

[1484] Step 2:

[1485] The server calculates the optimal transportation route, selecting a route that minimizes energy consumption based on the origin and destination.

[1486] Step 3:

[1487] The server notifies the carrier of the optimal cooling system and transportation route, thereby achieving efficient transportation.

[1488] Proposing renewable energy sources and improving energy efficiency

[1489] Step 1:

[1490] The server proposes renewable energy sources, for example, providing detailed designs for installing solar panels or wind power.

[1491] Step 2:

[1492] The server designs energy-efficient lighting and heating / cooling systems that are planned to minimize energy consumption on production floors and in warehouses.

[1493] Step 3:

[1494] The server notifies the producer of the proposed content and provides specific instructions for implementation.

[1495] Reducing plastics and increasing recycling efficiency

[1496] Step 1:

[1497] The server will recommend environmentally friendly and biodegradable packaging materials, including specific material selection and usage.

[1498] Step 2:

[1499] The server calculates ways to optimize the recycling process, which includes the steps of sorting, cleaning, and recycling waste.

[1500] Step 3:

[1501] The server notifies the relevant parties of the recommended packaging materials and optimized recycling processes.

[1502] consumer education

[1503] Step 1:

[1504] The server provides consumers with environmentally friendly information, including advice on using reusable bags and reducing food waste.

[1505] Step 2:

[1506] The server will create educational materials about carbon-neutral food supply chains, including instructional videos, brochures and online courses.

[1507] Step 3:

[1508] The server provides the created educational materials to consumers and conducts a campaign to raise environmental awareness.

[1509] Introducing the Emotion Engine

[1510] Step 1:

[1511] The server uses an emotion engine to recognize the user's emotions, which is done to capture the user's emotional state in real time as they receive information.

[1512] Step 2:

[1513] The server stores the collected emotion data in a database and continuously analyzes it.

[1514] Step 3:

[1515] The server grasps the trends and fluctuations of emotions based on the user's emotional data.

[1516] Customized information provision based on emotions

[1517] Step 1:

[1518] The server uses the emotion engine to collect data on the user's emotions and customizes the information and educational materials it provides. For example, if the user is feeling stressed, it will provide relaxing content.

[1519] Step 2:

[1520] The server provides the user with customized information that is tailored to help the user learn most effectively.

[1521] Analyzing emotional data and optimizing information delivery methods

[1522] Step 1:

[1523] The server analyzes the user's emotional data and evaluates the effectiveness of the environmentally conscious information and educational materials provided.

[1524] Step 2:

[1525] The server optimizes the information presentation method based on the evaluation results. For example, it analyzes how specific information affected the user and adjusts the information presentation method to maximize its effect.

[1526] Step 3:

[1527] The server implements an optimized information providing method and continuously provides effective information to the user.

[1528] As a result, this system can realize a carbon-neutral food supply and provide optimal information according to the user's emotions.As a specific example, there is a case where vegetable producer A improved energy efficiency, provided emotional services, and achieved a sustainable food supply.

[1529] Example 2

[1530] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1531] Modern agricultural production requires optimizing the balance of supply and demand between producers and consumers, and achieving efficient logistics and energy management. It is also important to select packaging materials that take environmental considerations into account and to increase recycling efficiency. Furthermore, it is desirable to improve consumer satisfaction by providing information tailored to consumer sentiment. However, systems for centrally managing and optimizing these aspects are not widely available. Therefore, there is a need for a comprehensive system that can handle everything from collecting information on local producers to optimizing logistics, considering the environment, and providing information based on consumer sentiment.

[1532] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting information from local producers and storing it in a database, means for optimizing the balance between supply and demand based on the producer information stored in the database, means for calculating efficient cooling systems and insulating materials, means for proposing renewable energy sources, means for providing environmentally friendly information and educational materials to consumers, means for collecting and analyzing user emotion data, and means for customizing the information to be provided based on the user emotion data. This enables efficient data management of local producers, optimization of supply and demand, and further improvement of environmental friendliness and consumer satisfaction.

[1533] "Producer information" is data provided by local producers, such as their names, addresses, and crop types.

[1534] The "means for optimizing the balance between supply and demand" refers to an algorithm and its execution environment that optimizes supply plans based on producer information and demand data.

[1535] An "efficient cooling system" is one that calculates and applies effective cooling methods and set temperatures to maintain product integrity during transport.

[1536] "Insulating materials" are materials used to improve the effectiveness of cooling systems, helping to control temperature while minimizing energy consumption.

[1537] "Renewable energy sources" refers to energy sources that can be obtained sustainably from the natural environment, such as solar power and wind power.

[1538] "Environmental information" is information provided to consumers that contributes to environmental protection, such as using reusable products and reducing food waste.

[1539] "Educational materials" are content such as educational videos, brochures, and online courses that promote environmentally friendly behavior.

[1540] "User emotional data" refers to data that indicates the user's emotional state and is information obtained using facial recognition or other emotional analysis techniques.

[1541] The "means for customizing the information provided" refers to a method for optimizing the content and format of the information and educational materials provided based on the collected emotional data of the user.

[1542] The system of the present invention consistently executes all processes, from collecting information on local producers to optimizing supply plans and providing information to consumers, enabling efficient distribution and information exchange between local producers and consumers.

[1543] 1. Collecting information on local producers and storing it in a database

[1544] The server receives information provided by local producers and stores it in a database. This process uses, for example, a Windows Server or Linux-based server system and a database management system such as MySQL or PostgreSQL. When producers use their devices (PCs or smartphones) to enter information into a dedicated web form and press the submit button, the server receives the information and stores it in the database.

[1545] 2. Optimizing supply and demand

[1546] The server retrieves producer information from a database and combines it with demand data. The server then applies an algorithm to optimize the balance between supply and demand. This algorithm is often implemented in Python or R, for example. The optimized plan is then communicated to producers and logistics companies. The algorithm for creating the supply plan may use linear programming.

[1547] 3. Efficient cooling systems and optimized transport routes

[1548] The server calculates the optimal parameters for refrigerated and frozen transport. This process uses data from temperature sensors and cooling system specifications. It also uses the Google Maps API to calculate the shortest and most efficient transport route. The results are then sent to the logistics company as detailed instructions.

[1549] 4. Proposing renewable energy sources and improving energy efficiency

[1550] The server collects and analyzes energy consumption data from producers and suggests the introduction of renewable energy sources, including simulating the installation of solar and wind power plants, as well as designing energy-efficient heating and cooling systems to minimize energy consumption.

[1551] 5. Reducing plastics and improving recycling efficiency

[1552] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and proposes optimal recycling methods and provides specific implementation plans to optimize the recycling process.

[1553] 6. Consumer education

[1554] The server provides consumers with environmentally friendly information and educational materials, including advice on using reusable bags and reducing food waste, as well as educational materials (such as instructional videos, brochures, and online courses) on carbon-neutral food supply chains.

[1555] 7. Introducing an emotion engine and customizing information provision based on emotions

[1556] The server uses an emotion engine to recognize the user's emotions. This analyzes the emotional state of the consumer when receiving information, and typically uses a facial recognition API (e.g., Microsoft Azure Face API or Amazon Rekognition). Based on the results of the emotion engine, the server can customize the content of information and educational materials provided to consumers in a way that helps reduce their stress.

[1557] 8. Analyzing emotional data and optimizing information delivery methods

[1558] The server uses an emotion engine to analyze the user's emotion data, evaluates the effectiveness of the environmentally conscious information and educational materials provided, and optimizes the information provision method based on the evaluation results.

[1559] Specific examples

[1560] As a concrete example, consider a case where a local vegetable producer A wants to practice sustainable agriculture, efficiently transport produce, and improve energy efficiency. Producer A inputs information from a terminal, which the server receives and stores in a MySQL database. The server then optimizes a supply plan based on demand data within the region and notifies Producer A of the plan. Next, it calculates a cooling system and transportation route, and notifies the carrier of the details. Furthermore, the server suggests to Producer A that they introduce renewable energy sources and recommend the use of biodegradable packaging materials. Finally, it provides consumers with environmentally friendly information and related educational materials.

[1561] Prompt Sentence Examples

[1562] A personalized prompt might be, "I'd like to know how to recycle used plastic packaging" or "What courses can I take to learn about sustainable agriculture?"

[1563] In this way, the system of the present invention enables efficient supply chains and information exchange between local producers and consumers, improving environmental friendliness and consumer satisfaction.

[1564] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1565] Step 1:

[1566] The server receives information (such as name, address, and type of crop) entered by local producers from their devices and stores it in a database. Specifically, producers enter information into a dedicated web form on their devices (PCs or smartphones) and press the submit button. This sends the entered data to the server. The server receives this data, checks for formatting and duplicates, and then stores it in a MySQL database.

[1567] Input: Producer information (name, address, type of crop, etc.)

[1568] Output: Producer information stored in the database

[1569] Step 2:

[1570] The server retrieves producer information from the database and combines it with demand data to optimize the balance between supply and demand. It uses a Python script to run an optimization algorithm and create a supply plan. The optimized supply plan is then notified to producers and logistics companies. Specifically, the server uses SQL queries to retrieve the necessary information from the database, combines it with demand forecast data (market data, etc.), and applies the algorithm.

[1571] Input: Producer information and demand data obtained from the database

[1572] Output: Optimized supply plan

[1573] Step 3:

[1574] The server calculates the optimal parameters for refrigerated and frozen transport. This uses temperature sensor and cooling system specification data. It then uses Google Maps API to calculate the shortest and most efficient transport route. The calculation results are sent to the logistics company. Specifically, the server receives data from the sensors and calculates the optimal set temperature based on the cooling system specifications. It then uses Google Maps API to calculate the optimal transport route and notifies the logistics company of the results.

[1575] Input: Temperature sensor data, cooling system specification data

[1576] Output: Optimal cooling parameters and transport routes

[1577] Step 4:

[1578] The server collects and analyzes energy consumption data from producers and proposes the introduction of renewable energy sources. Specifically, it acquires smart meter data, analyzes consumption patterns, and performs simulations of solar and wind power generation. The results are then notified to producers.

[1579] Input: Smart meter data

[1580] Output: Proposed introduction of renewable energy sources

[1581] Step 5:

[1582] The server provides producers with information on environmentally friendly packaging materials, specifically data on recommended materials such as biodegradable plastics, and also proposes optimal recycling methods and provides specific implementation plans.

[1583] Input: Database of packaging materials

[1584] Output: Implementation plan for recommended packaging materials and recycling methods

[1585] Step 6:

[1586] The server will provide consumers with environmentally friendly information and educational materials, such as information on using reusable bags and reducing food waste, via a website and app, as well as creating and distributing educational videos and pamphlets online.

[1587] Input: Environmental considerations information

[1588] Output: Consumer education materials

[1589] Step 7:

[1590] The server uses an emotion engine to recognize the user's emotions. It uses a facial recognition API to analyze the user's facial image and evaluate their emotional state. Based on the results, it customizes the way it presents information. Specifically, it selects a relaxing way of presenting information to reduce stress based on the emotional data.

[1591] Input: User's face image

[1592] Output: Emotion data

[1593] Step 8:

[1594] The server analyzes the collected user emotion data using an emotion engine and evaluates the effectiveness of the environmentally conscious information and educational materials provided. Based on the evaluation results, the information delivery method is optimized. Specifically, the emotion data is recorded in a log and the content delivery method is improved based on the effectiveness analysis.

[1595] Input: Emotion data

[1596] Output: Optimized information presentation

[1597] (Application example 2)

[1598] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1599] Modern society demands the creation of sustainable food supply chains and consideration for the environment. However, providing consumers with sustainable options and effectively educating them about them is a difficult task. It is particularly important to understand consumers' emotional state and provide information at the right time and through the right means. Collecting and managing information from local producers, optimizing supply and demand, streamlining cooling systems, promoting renewable energy, and reducing plastics are also important. The challenge of this invention is to integrate these complex elements and provide an effective system.

[1600] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1601] In this invention, the server includes: means for collecting information from local producers and storing it in a database; means for optimizing the balance between supply and demand based on the producer information stored in the database; means for calculating efficient cooling systems and insulation materials; means for suggesting renewable energy sources; means for providing environmentally conscious information and educational materials to consumers; an emotion engine for collecting and analyzing consumer emotion data; and means for customizing the information and educational materials provided based on the emotion data. This enables the provision of customized environmental education and sustainable choices according to consumer emotion. Furthermore, it is possible to optimize the balance between supply and demand in the region, increase energy efficiency, and reduce plastic use.

[1602] "Information from local producers" refers to information about production activities and products provided by individuals or organizations engaged in agricultural or production activities in a particular region.

[1603] A "database" is a system that stores collected information in an organized manner and makes it quickly and easily accessible when needed.

[1604] "Balance of supply and demand" refers to the state of equilibrium between the demand for a product (willingness to consume) and the supply (capacity to produce and provide) in a particular area.

[1605] An "efficient cooling system" is one that provides optimal cooling while minimizing energy consumption.

[1606] An "insulating material" is a material that prevents heat conduction and keeps the internal temperature constant.

[1607] "Renewable energy sources" are energy resources that are permanently supplied from the natural environment, including solar, wind, and hydroelectric power.

[1608] "Environmental information" refers to knowledge and practices related to protecting the natural environment and sustainable lifestyles.

[1609] "Educational materials" are materials created in the form of pamphlets, videos, online courses, etc. that provide specific environmental practices and knowledge.

[1610] "Consumer emotion data" is data that indicates the emotional state of a consumer when receiving information, and is collected using an emotion engine.

[1611] An "emotion engine" is a technology for analyzing a user's emotional state and assessing the consumer's psychological state.

[1612] "Customizing information and educational materials" refers to the creation and delivery of information and educational materials that are personalized according to the consumer's emotional state.

[1613] The system of the present invention collects information from local producers and stores it in a database to build a sustainable food supply chain. Here, the server, terminal, and user each play their own role and support the operation of the entire system. Specific embodiments of the present invention are described below.

[1614] Collecting information and storing it in a database

[1615] The server receives information provided by local producers and stores it in a database. This information includes production volume, harvest time, transportation conditions, etc. The server can centrally manage this information.

[1616] Demand and supply optimization

[1617] The server uses the producer information stored in the database, as well as regional demand data, to apply an algorithm that optimizes the balance between supply and demand. The optimized plan is then automatically notified to producers and logistics companies.

[1618] Cooling Systems and Insulation Materials

[1619] The server calculates efficient cooling systems and insulation materials, determining optimal parameters for refrigerated and frozen transport, minimizing energy consumption and ensuring products reach consumers in optimal condition.

[1620] Proposal of renewable energy sources

[1621] The server will suggest the introduction of renewable energy sources, for example, encouraging the use of solar panels and wind turbines, and designing energy-efficient methods to reduce energy consumption.

[1622] Providing environmental information and educational materials

[1623] The server provides consumers with information on environmental considerations, and also creates educational materials such as pamphlets and online courses, which are then provided to consumers.

[1624] Introducing an emotion engine and analyzing emotion data

[1625] The server uses an emotion engine to recognize, collect, and analyze consumer emotions. Based on this emotional data, the server customizes the information and educational materials provided to suit the consumer's emotional state. By detecting the consumer's stress level and providing information that helps them relax, more effective education becomes possible.

[1626] Specific examples

[1627] For example, consider a local consumer using smart glasses while shopping in a physical store. The server analyzes the consumer's emotional state in real time, providing more information when the consumer is relaxed and less information when the consumer is stressed. This system can help consumers understand sustainable products.

[1628] Prompt Sentence Examples

[1629] When a consumer wears smart glasses in a store and selects sustainable products, consider an application that uses an emotion engine to detect the consumer's emotional state (e.g., "happy") and provide appropriate information.

[1630] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1631] Step 1:

[1632] The server collects information from local producers and stores it in a database.

[1633] Specifically, the system receives information provided by producers, such as production volume, harvest time, and transportation conditions, via API and stores it in a database. The input is producer information data, and the output is the updated database.

[1634] Step 2:

[1635] The server takes in producer information and regional demand data stored in the database and applies an algorithm that optimizes the balance between supply and demand.

[1636] Specifically, it analyzes regional demand data using a demand forecasting algorithm and optimizes the supply plan. The input is producer information data and demand data, and the output is an optimized supply plan.

[1637] Step 3:

[1638] The server calculates efficient cooling systems and insulation materials.

[1639] Specifically, it analyzes the conditions for refrigerated and frozen transport and proposes the optimal cooling system and insulation materials to use. The input is logistics condition data, and the output is a recommended cooling system and insulation materials.

[1640] Step 4:

[1641] The server proposes the introduction of renewable energy sources.

[1642] Specifically, it analyzes energy consumption data and proposes the introduction of energy-efficient solar panels and wind power generation systems. The input is energy consumption data, and the output is renewable energy proposals.

[1643] Step 5:

[1644] The server provides environmentally friendly information and educational materials to consumers.

[1645] Specifically, the system creates pamphlets and online courses containing environmentally friendly knowledge and practices and distributes them to consumers. The input is educational material content, and the output is providing information to consumers.

[1646] Step 6:

[1647] The server uses an emotion engine to collect and analyze consumer emotion data.

[1648] Specifically, it uses emotion recognition technology to analyze consumers' real-time emotions. The input is consumer emotion data, and the output is the emotion analysis results.

[1649] Step 7:

[1650] The server customizes the information and educational materials provided based on the emotional data.

[1651] Specifically, it provides information at the optimal timing and in the optimal way to match the consumer's emotional state. The input is emotional data and educational materials, and the output is customized information.

[1652] 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.

[1653] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1654] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1655] 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.

[1656] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1657] 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.

[1658] 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).

[1659] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1660] 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."

[1661] 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.

[1662] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1663] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1664] 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.

[1665] 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.

[1666] 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.

[1667] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1668] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1669] 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.

[1670] 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.

[1671] 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.

[1672] 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.

[1673] The following is further disclosed regarding the above embodiment.

[1674] (Claim 1)

[1675] A means of collecting information from local producers and storing it in a database;

[1676] a means for optimizing the balance between supply and demand based on the producer information stored in the database;

[1677] a means for calculating efficient cooling systems and insulation materials;

[1678] a means of proposing renewable energy sources;

[1679] means of providing environmental information and educational materials to consumers;

[1680] A system including:

[1681] (Claim 2)

[1682] 10. The system of claim 1, further comprising means for calculating an optimal transportation route.

[1683] (Claim 3)

[1684] 10. The system of claim 1, further comprising means for recommending biodegradable packaging materials and means for optimizing the recycling process.

[1685] "Example 1"

[1686] (Claim 1)

[1687] A means of collecting information from producers and storing it in a database;

[1688] a means for optimizing the balance between supply and demand based on the producer information stored in the database;

[1689] a means for calculating efficient cooling systems and insulation materials;

[1690] a means of proposing renewable energy sources;

[1691] Measures to promote biodegradable packaging materials;

[1692] means for optimizing the recycling process;

[1693] means of providing environmental information and educational materials to consumers;

[1694] a means for collecting and storing demand data in a database;

[1695] a means for providing input to the generative AI model using prompt sentences;

[1696] A means of optimizing supply planning and communicating it to producers and logistics providers;

[1697] means for calculating and notifying the carrier of optimized cooling parameters and transportation routes;

[1698] A system including:

[1699] (Claim 2)

[1700] 10. The system of claim 1, further comprising means for calculating an optimal transportation route.

[1701] (Claim 3)

[1702] 10. The system of claim 1, further comprising means for informing an optimized supply plan based on the demand data.

[1703] "Application Example 1"

[1704] (Claim 1)

[1705] A means of collecting information from local producers and storing it in a database;

[1706] a means for optimizing the balance between supply and demand based on the producer information stored in the database;

[1707] a means for calculating efficient cooling systems and insulation materials;

[1708] a means of proposing renewable energy sources;

[1709] means of providing environmental information and educational materials to consumers;

[1710] A means for notifying the smartphone application of the results of the algorithm that optimizes the balance between supply and demand;

[1711] A means for notifying a smartphone of optimal cooling system settings and transportation routes;

[1712] A means for a generative AI model to propose a supply plan based on a prompt statement;

[1713] A system including:

[1714] (Claim 2)

[1715] 10. The system of claim 1, further comprising means for calculating an optimal transportation route.

[1716] (Claim 3)

[1717] 10. The system of claim 1, further comprising means for recommending biodegradable packaging materials and means for optimizing the recycling process.

[1718] "Example 2: Combining Emotion Engines"

[1719] (Claim 1)

[1720] A means of collecting information from local producers and storing it in a database;

[1721] a means for optimizing the balance between supply and demand based on the producer information stored in the database;

[1722] a means for calculating efficient cooling systems and insulation materials;

[1723] a means of proposing renewable energy sources;

[1724] means of providing environmental information and educational materials to consumers;

[1725] A means for collecting and analyzing user emotion data;

[1726] means for customizing information to be provided based on the emotion data of the user;

[1727] A system including:

[1728] (Claim 2)

[1729] 10. The system of claim 1, further comprising means for calculating an optimal transportation route.

[1730] (Claim 3)

[1731] 10. The system of claim 1, further comprising means for recommending biodegradable packaging materials and means for optimizing the recycling process.

[1732] "Application example 2 when combining emotion engines"

[1733] (Claim 1)

[1734] A means of collecting information from local producers and storing it in a database;

[1735] a means for optimizing the balance between supply and demand based on the producer information stored in the database;

[1736] a means for calculating efficient cooling systems and insulation materials;

[1737] a means of proposing renewable energy sources;

[1738] means of providing environmental information and educational materials to consumers;

[1739] an emotion engine means for collecting and analyzing consumer emotion data;

[1740] means for customizing information and educational material provided based on the emotion data;

[1741] A system including:

[1742] (Claim 2)

[1743] 10. The system of claim 1, further comprising means for calculating an optimal transportation route.

[1744] (Claim 3)

[1745] 10. The system of claim 1, further comprising means for recommending biodegradable packaging materials and means for optimizing the recycling process. [Explanation of symbols]

[1746] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of collecting information from local producers and storing it in a database; a means for optimizing the balance between supply and demand based on the producer information stored in the database; a means for calculating efficient cooling systems and insulation materials; a means of proposing renewable energy sources; means of providing environmental information and educational materials to consumers; A system including:

2. The system of claim 1 further comprising means for calculating an optimal transportation route.

3. 10. The system of claim 1, further comprising means for promoting biodegradable packaging materials and means for optimizing the recycling process.

Images