System

Abstract

A system is provided.SOLUTION: The system includes a means for acquiring public patent information, a means for analyzing the acquired public patent information and classifying it for each technology category, a means for generating a new technology plan by using the classified patent information, a means for publicizing the generated new technology plan, and a means for mediating a contract between companies on the basis of the publicized new technology plan.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] The "Lost 30 Years" have led to a significant reduction in research and development activities at companies and universities, resulting in many existing patents remaining unused and lying dormant. This situation has weakened the development system for new technologies and reduced opportunities for intellectual property revenue. Furthermore, the lack of a way to effectively match market needs with existing patents poses a challenge, as patents are not being used effectively. [Means for solving the problem]

[0005] The present invention is a system that includes a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating new technology proposals using the classified patent information, a means for publishing the generated new technology proposals, and a means for brokering contracts between companies based on the published new technology proposals. This enables the creation of new technologies and the combination of patents that meet market needs, thereby increasing opportunities for intellectual property revenue. Furthermore, analyzing patent information using artificial intelligence enables efficient and accurate matching, and information can be widely shared by publishing it on a web platform.

[0006] "Public patent information" refers to information about patents that is made public by public institutions such as the Patent Office.

[0007] "Means of acquisition" refers to the methods and techniques used to acquire information from databases, etc.

[0008] "Means of analysis" refers to the methods and techniques used to analyze acquired information and convert it into meaningful data.

[0009] "Classification means" refers to the methods and techniques used to organize analyzed information into technical categories.

[0010] A "new technology proposal" is a proposal for a new technology or service that combines existing patent information.

[0011] "Means of generation" refers to methods and techniques for creating new technology proposals.

[0012] "Means of disclosure" refers to the methods and techniques for informing the public of the generated new technology plan.

[0013] "Contract mediation" refers to methods and techniques for supporting and concluding contracts between businesses.

[0014] "Artificial intelligence" refers to a set of processing techniques and algorithms that computer systems use to mimic human intelligence.

[0015] The "web platform" refers to the systems and services that make information shared and accessible over the Internet. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0024] [First embodiment]

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

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

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

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

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

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

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

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

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

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0037] This invention is a system that acquires published patent information, analyzes it, classifies it into technology categories, and then uses the classified patent information to create and publish new technology proposals and mediate contracts between companies. The system of the present invention is specifically implemented as follows.

[0038] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[0039] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[0040] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[0041] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[0042] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[0043] As a concrete example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company is interested in the proposal and a contract is concluded, the possibility of the patented technology being put into practical use increases.

[0044] The above is a specific implementation of this system. By linking the server and users, the effective use of patent information and the creation of new technologies can be realized.

[0045] The processing flow will be explained below.

[0046] Step 1:

[0047] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[0048] Step 2:

[0049] The server accesses a public patent database and retrieves patent information based on the search keywords entered by the user.

[0050] Step 3:

[0051] The server stores the acquired patent information in an internal database.

[0052] Step 4:

[0053] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[0054] Step 5:

[0055] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[0056] Step 6:

[0057] The server stores the classified patent information in an internal database.

[0058] Step 7:

[0059] The server runs the generation AI and generates new technology proposals based on the classified patent information.

[0060] Step 8:

[0061] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[0062] Step 9:

[0063] The server uploads new technology proposals to a web platform and makes the information public.

[0064] Step 10:

[0065] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[0066] Step 11:

[0067] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[0068] Step 12:

[0069] The server will begin supporting contract negotiations by setting up meetings, drafting contracts, and mediating negotiations.

[0070] Step 13:

[0071] The server records the information when a contract is concluded and runs a system for tracking and reporting IP revenue.

[0072] As described above, each step works together to realize the effective use of patent information and the creation of new technologies.

[0073] Example 1

[0074] 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."

[0075] There is a need to efficiently acquire public patent information, classify and analyze it by technology category, systematically manage large amounts of patent information, and quickly generate and publish new technology proposals. However, with current technology, the analysis and classification of large amounts of patent information is often done manually, which is time-consuming and labor-intensive. In addition, the process of effectively disclosing the generated new technology proposals to companies and leading to contracts is cumbersome, so an efficient system is needed.

[0076] 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.

[0077] In this invention, the server includes means for acquiring published patent information, means for extracting the acquired published patent information from a database based on specified keywords, means for analyzing the acquired published patent information and classifying it by technology category, means for classifying and managing the analyzed patent information by technology category, means for generating new technology plan proposals using AI using the classified patent information, means for publishing the generated new technology plan proposals through a web platform, and means for mediating contracts between companies based on the published new technology plan proposals.This enables efficient analysis and classification of patent information, rapid generation of new technology plan proposals, and efficient inter-company contracts.

[0078] "Published patent information" refers to information about patents that can be obtained from publicly available patent documents or patent databases.

[0079] "Means of acquisition" refers to the techniques or methods used to retrieve specified data from a particular database or source.

[0080] "Means of analysis" refers to methods and techniques for analyzing acquired data and organizing it into useful information.

[0081] A "technology category" is a category of a specific technology area or field for dividing patent information.

[0082] A "classification means" is a technique or method for dividing acquired or analyzed information into specific categories.

[0083] "Generative AI" refers to models and technologies that use artificial intelligence to generate new content and ideas.

[0084] "Generating means" are techniques and methods for creating new data or information for specific purposes or needs.

[0085] "Web Platform" means a web-based environment or service for publishing and sharing information over the Internet.

[0086] "Contract intermediation" refers to technologies and services that support contract negotiations and agreements between different companies.

[0087] This invention is a system in which a server, a terminal, and a user cooperate with each other to acquire and analyze published patent information, generate technical proposals, and mediate contracts. A specific embodiment of this system is described below.

[0088] First, a user opens a dedicated web application on their device. They enter keywords such as "energy storage" or "battery technology" into the search bar. Next, the server accesses a public patent database via the Internet based on this input. In this case, a commonly known patent information database (e.g., Google Patents or the USPTO database) is used as the database. The server sends an API request to the database to extract patent information corresponding to the specified search keywords and saves the retrieved patent information in local data storage (e.g., Amazon S3).

[0089] Next, the server runs a natural language processing model (NLP model) to analyze the patent information. This NLP model is built using Python's TensorFlow and PyTorch libraries. The server uses the NLP model to classify the patent information acquired by the NLP model into technology categories (e.g., manufacturing methods, material technologies, etc.). This allows the server to systematically manage large amounts of patent information.

[0090] Next, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate a new technology proposal. Based on the analyzed and classified patent information, the GPT-4 model creates a new technology proposal. The generated technology proposal includes specific technical content and proposals for utilization.

[0091] The generated new technology proposals are made available to domestic and international companies via a web platform (such as AWS or Microsoft Azure) from a server. Companies can view the technology proposals through this web platform and find out more about the technologies that interest them.

[0092] If a user is interested in a new technology proposal, the server provides functions to support contract negotiations, such as setting up online meetings and drafting contracts (for example, using electronic signature services such as DocuSign). Through these functions, the server helps to smoothly advance contract negotiations between companies.

[0093] As an example of how this works, when a user types "energy storage" into the search bar, the server requests and retrieves the corresponding patent information from the Google Patents API. The retrieved information is then input into an NLP model and classified into technology categories. Next, a new technology proposal is generated by the GPT-4 model, and its contents are published on a web platform. Meanwhile, if a company is interested in this proposal, the server automatically schedules a meeting and provides a series of contract support services, such as sending an electronic contract.

[0094] Example prompt sentence:

[0095] Please classify patent information related to "energy storage" into the following technology categories:

[0096] 1. Manufacturing method

[0097] 2. Materials technology

[0098] 3. How to use

[0099] Then, combine the patent information from each category to generate new technology proposals.

[0100] The above is an embodiment of the present invention. Close cooperation between the server and the user enables efficient acquisition, analysis, and management of patent information, as well as the creation and utilization of new technologies.

[0101] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0102] Step 1:

[0103] The user enters search keywords using the terminal.

[0104] The user opens a dedicated web application on their device and enters a specific keyword (e.g., "energy storage" or "battery technology") into the search bar, which is then sent to the server.

[0105] (Input: Search keyword, Output: Send search keyword)

[0106] Step 2:

[0107] The server accesses a public patent database and obtains patent information.

[0108] The server accesses public patent databases (e.g., Google Patents or the USPTO database) via the Internet and sends API requests to extract patent information based on search keywords. This patent information is then stored in local data storage (e.g., Amazon S3) on the server.

[0109] (Input: Search keyword, Output: Obtain patent information)

[0110] Step 3:

[0111] The server analyzes the patent information it acquires and classifies it into technology categories.

[0112] The server runs a natural language processing (NLP) model built using Python's TensorFlow and PyTorch. Patent information is input into the NLP model, which classifies it by technology category (e.g., manufacturing method, material technology, etc.). The classification results are stored on the server.

[0113] (Input: patent information, Output: classified patent information)

[0114] Step 4:

[0115] The server generates new technology proposals based on patent information classified by technology category.

[0116] The server uses a generative AI model such as OpenAI's GPT-4 to generate new technology proposals based on the analyzed and classified patent information. This generation process combines different technical information to output new and unique technology proposals.

[0117] (Input: Classified patent information, Output: New technology proposal)

[0118] Step 5:

[0119] The server publishes the generated new technology proposals on a web platform via the Internet.

[0120] The server uploads the data of new technology proposals to a web server and makes them available for viewing on a dedicated web platform, allowing domestic and international companies to access and check the new technology proposals.

[0121] (Input: New technology proposal, Output: Published proposal)

[0122] Step 6:

[0123] We provide support in contract negotiations when users are interested in new technology proposals.

[0124] When a company expresses interest in a new technology proposal and makes an inquiry, the server schedules an online meeting and drafts a contract, using an electronic signature service such as DocuSign, and assists in the contract negotiation process.

[0125] (Input: Inquiry from company, Output: Scheduled meeting and contract draft)

[0126] These are the specific processing steps of the program for this system. At each step, it is made clear how specific input data is processed or calculated, and what output is obtained as a result.

[0127] (Application example 1)

[0128] 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."

[0129] In conventional systems that acquire and analyze public patent information, classify it into technology categories, and generate new technology proposals, the use of the analysis results is limited, and there are problems with not being able to support the implementation of new technologies or improve processes, particularly those related to industrial automation.In addition, there are few examples of new technology proposals being applied to specific industrial automation equipment, making it difficult to mediate practical contracts between companies.

[0130] 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.

[0131] In this invention, the server includes means for acquiring published patent information, means for analyzing the acquired published patent information and classifying it by technology category, means for generating a new technology plan using the classified patent information, means for installing the generated new technology plan in an industrial automation device to provide process improvement or support for the implementation of new technology, means for publishing the generated new technology plan, and means for mediating contracts between companies based on the published new technology plan. This makes it possible to apply the results of the patent information analysis to specific industrial automation devices and actually provide support for process improvement or the implementation of new technology.

[0132] "Published patent information" refers to technical information on patents that is publicly available and is obtained from patent databases and published literature.

[0133] "Means for analyzing patent information and classifying it by technology category" refers to collecting publicly available patent information and organizing its contents by technology field using classification algorithms or artificial intelligence.

[0134] A "new technology proposal" is a proposal that describes the concept of a new technology or product based on collected and classified patent information.

[0135] "Industrial automation equipment" refers to equipment that includes hardware and software for achieving automation in factories and production lines.

[0136] "Process improvement" refers to proposing methods and means to improve the efficiency and quality of existing manufacturing processes and business processes.

[0137] "Support for the implementation of new technologies" means providing the necessary support and implementation procedures so that newly proposed technologies and methods can be applied in the field.

[0138] A "web platform" is an online infrastructure for providing and sharing information via the Internet.

[0139] "Means of mediating contracts between companies" refers to means of supporting negotiations, coordination, document preparation, etc. when two or more companies enter into a contract based on a new technology proposal.

[0140] This invention is a system that acquires and analyzes published patent information, classifies it by technology category, generates and publishes new technology proposals, and brokers contracts between companies based on those proposals. This system can be applied to industrial automation equipment in particular to support process improvements and the implementation of new technologies.

[0141] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "automation" or "sensor technology" are entered, the server extracts corresponding patent information from the database.

[0142] The server then analyzes the acquired patent information using an artificial intelligence (AI) model. The AI ​​model classifies the patent information by technology category, organizing it into categories such as manufacturing methods, material technologies, and automation technologies. This allows for the systematic management of large amounts of patent information.

[0143] Next, the server uses generative AI to combine patent information categorized by technology category to generate new technology proposals. For example, by combining specific automation technology and sensor technology, it generates a proposal for a new factory line automation system. This proposal includes specific technical content and proposals for utilization.

[0144] The generated new technology proposals are made public via a web platform from the server. This disclosure of information increases the likelihood that companies interested in industrial automation will be interested in the new technology. For example, if a company interested in a specific industrial technology finds this new technology proposal and is interested, they can make an inquiry directly.

[0145] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[0146] Specific examples

[0147] For example, to obtain and analyze patent information related to automation, patent information is collected from public patent databases using the keyword "automation." The collected patent information is then analyzed using an AI model, classified by technology category, and a technical proposal for a new factory line automation system is generated. This includes specific manufacturing process improvements and methods for introducing new technologies using patent information.

[0148] Prompt Sentence Examples

[0149] Generate new technology proposals: robotic automation technology, quality control using sensors, improving production efficiency through the introduction of AI, etc.

[0150] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0151] Step 1:

[0152] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. The input data is the search keywords, and the output data is a list of patent information.

[0153] Specific behavior:

[0154] The user enters a keyword such as "automation" into the terminal, and the server uses the keyword to retrieve related patent information from a public patent database.

[0155] Step 2:

[0156] The server analyzes the acquired patent information and classifies it by technology category. The input data is a list of acquired patent information, and the output data is patent information classified by technology category.

[0157] Specific behavior:

[0158] The server uses AI models to analyze patent information and classify it into technology categories such as automation technology, sensor technology, and manufacturing methods.

[0159] Step 3:

[0160] The server uses the classified patent information to generate a new technology plan. The input data is patent information classified by technology category, and the output data is a new technology plan.

[0161] Specific behavior:

[0162] The server uses the generative AI model to generate proposals for new factory line automation systems that combine automation and sensor technologies. An example of a prompt is "Generate new technology proposals: robot automation technology, quality control using sensors, improving production efficiency by introducing AI, etc."

[0163] Step 4:

[0164] The server publishes the generated new technology proposal via a web platform. The input data is the generated new technology proposal, and the output data is the published new technology proposal.

[0165] Specific behavior:

[0166] The server converts the generated new technology proposal into a web page in HTML format and makes it available on the Internet.

[0167] Step 5:

[0168] When a user (company) views a published new technology proposal and shows interest, the server starts supporting contract negotiations. The input data is the user's inquiry information, and the output data is the support results for contract negotiations.

[0169] Specific behavior:

[0170] When a user expresses interest in a new technology proposal on the web platform, they submit an inquiry, and the server receives the inquiry and provides support such as setting up a meeting and drafting a contract.

[0171] 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.

[0172] This invention is a system that acquires published patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies.The invention also improves the user experience by combining it with an emotion engine that recognizes user emotions.The system of the present invention is specifically implemented as follows.

[0173] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[0174] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[0175] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[0176] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[0177] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's reactions and evaluates their level of interest in the new technology proposal. For example, if the user's emotions are judged to be "excitement" or "interest" based on the input content from the device, viewing time, mouse movements, etc., the server acquires that information.

[0178] Based on the emotional data collected using the emotion engine, the server adjusts the display order and content of new technology proposals. For example, it is set to prioritize the display of proposals that the user expressed excitement or interest in. In this way, the server provides optimal information according to the user's emotions.

[0179] Finally, if a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property revenue and secure new research and development funds.

[0180] Here is a concrete example:

[0181] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal, and the emotion engine detects excitement or interest, information will be provided to that company in a targeted manner. If a contract is ultimately concluded, the patented technology will be more likely to be put into practical use.

[0182] The above is a concrete example of this system. The server, terminals, and users work together to effectively utilize patent information and create new technologies.

[0183] The processing flow will be explained below.

[0184] Step 1:

[0185] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[0186] Step 2:

[0187] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user.

[0188] Step 3:

[0189] The server stores the acquired patent information in an internal database.

[0190] Step 4:

[0191] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[0192] Step 5:

[0193] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[0194] Step 6:

[0195] The server stores the classified patent information in an internal database.

[0196] Step 7:

[0197] The server uses generation AI to generate new technology proposals based on the classified patent information.

[0198] Step 8:

[0199] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[0200] Step 9:

[0201] The server uploads new technology proposals to a web platform and makes the information public.

[0202] Step 10:

[0203] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[0204] Step 11:

[0205] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[0206] Step 12:

[0207] The server uses an emotion engine to recognize the user's emotions. For example, it uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice.

[0208] Step 13:

[0209] The server uses an emotion engine to analyze the user's emotion data and evaluate their interest in the new technology proposal. This evaluation identifies the user's emotions, such as "excitement" or "interest."

[0210] Step 14:

[0211] The server adjusts the display order and content of new technology proposals based on the collected emotional data. For example, it prioritizes the display of proposals that the user expressed excitement or interest in.

[0212] Step 15:

[0213] When a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server receives the response and begins supporting contract negotiations.

[0214] Step 16:

[0215] The server supports contract negotiations by arranging meetings, drafting contracts, and mediating negotiations.

[0216] Step 17:

[0217] The server will record the information if a deal is ultimately concluded and run a system for tracking and reporting IP revenue.

[0218] In this way, the system of the present invention effectively utilizes patent information and efficiently advances the process from the creation of new technology proposals to their market launch. The introduction of an emotion engine will improve the user experience and promote the practical application of patented technologies.

[0219] Example 2

[0220] 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."

[0221] In the process of generating new technology proposals from public patent information and linking them to contracts between companies using conventional technology, there were issues with the accuracy of analyzing and classifying patent information, the quality of the generated proposals, and the efficiency of concluding contracts between companies.In addition, information provided did not reflect the user's feelings, and the user experience was not improved.

[0222] 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 a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating a contract between companies based on the published new technology plan, a means for recognizing a user's emotion, and a means for optimizing the display of the technology plan based on the recognized user's emotion information. This enhances the analysis and classification of published patent information, improves the quality of the generated plan, and enhances the user experience, thereby enabling efficient contract formation between companies.

[0223] "Published patent information" means information about a patent that is available from publicly accessible patent databases.

[0224] "Technology category" refers to a category that is classified based on a specific technical field or technical characteristics.

[0225] A "new technology proposal" is a proposal for a new technology created based on existing patent information.

[0226] The "Web platform" is a fundamental system for providing services over the Internet.

[0227] "Artificial intelligence" is a technology that allows computers to learn and reason by imitating human intelligence.

[0228] A "generative AI model" is an algorithm or computer program that generates new outputs based on specific inputs.

[0229] "User emotion" refers to the psychological reaction a user has to a particular piece of information or situation.

[0230] An "emotion engine" is a system that recognizes a user's emotional state by analyzing a series of actions and input data.

[0231] A "contract mediation device" is a system that helps ensure that a contract between two or more companies is concluded smoothly.

[0232] An "optimization measure" is a mechanism for adjusting or improving something to achieve the most effective results for a particular purpose.

[0233] This invention is a system that acquires public patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it improves the user experience.

[0234] First, a user inputs specific search keywords into the terminal. For example, keywords such as "energy storage" or "battery technology" may be input. Next, the server accesses a public patent database (e.g., "public patent database" or "patent information platform") to retrieve patent information based on the input keywords. The server then extracts the corresponding patent information from the database and temporarily stores it.

[0235] The server then uses an AI model (such as BERT or GPT-4) to classify the acquired patent information into technology categories, such as "manufacturing methods" and "material technologies." This allows for the systematic management of large amounts of patent information.

[0236] The server then uses a generative AI model (such as GPT-4) to generate a new technology proposal based on the patent information categorized by technology category. Specifically, it combines "patents related to manufacturing methods for lithium-ion batteries" with "patents related to methods for using new materials" to generate a proposal for a new battery manufacturing method. This proposal includes specific technical details and proposals for utilization.

[0237] The generated new technology proposals are made available to domestic and international companies via a web platform (such as a cloud service) from a server, allowing companies interested in a particular technology to easily view information about the new technology.

[0238] Next, if a user (company) shows interest in a new technology proposal, the server uses an emotion engine (for example, an "emotion recognition system") to recognize the user's emotions. Specifically, the server analyzes emotions based on the user's input, viewing time, mouse movements, etc. This information is sent to the server, and if the user's emotions are determined to be "excitement" or "interest," the server uses this data to adjust the display order and content of the technology proposals. For example, it is set up so that technology proposals that the user is particularly interested in are displayed first.

[0239] Finally, if a user (company) becomes more interested in the new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn revenue from their intellectual property.

[0240] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is acquired and analyzed and classified using an AI model. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal and the emotion engine detects "excitement" or "interest," information will be provided to that company in a targeted manner. If a contract is ultimately concluded between the companies, the likelihood of the patented technology being put into practical use increases.

[0241] Prompt Sentence Examples

[0242] Obtain the latest patent information on "energy storage" or "battery technology," analyze it in detail, and generate new technology proposals.

[0243] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0244] Step 1:

[0245] The user inputs a search keyword into the terminal.

[0246] Users enter keywords related to a specific technology field, such as "energy storage" or "battery technology," into their device, and the search keywords are sent to the server.

[0247] Input: Search keyword (e.g., energy storage)

[0248] Output: Keywords sent to the server

[0249] Step 2:

[0250] The server accesses a public patent database and obtains patent information.

[0251] The server accesses public patent databases based on the search keywords submitted by the user. For example, the server extracts relevant patent information from "public patent databases" or "patent information platforms" and temporarily stores it.

[0252] Input: Search keywords sent to the server

[0253] Output: Retrieved patent information

[0254] Step 3:

[0255] The server analyzes the patent information it acquires and classifies it into technology categories.

[0256] The server analyzes the acquired patent information using an AI model (such as "BERT" or "GPT-4"). As a result of the analysis, the patent information is classified into technology categories such as "manufacturing method" and "material technology."

[0257] (Application example 2)

[0258] 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."

[0259] Previously, generating new technology proposals and brokering contracts between companies using public patent information was time-consuming and inefficient. Furthermore, information was provided to users uniformly, and optimal information that reflected individual interests was not provided. As a result, new technology proposals were not fully utilized, and opportunities for technological development and contract signing were lost. Furthermore, specific technical proposals for improving the work efficiency of factory robots were also insufficient.

[0260] 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.

[0261] In this invention, the server includes a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating contracts between companies based on the published new technology plan, a means for identifying a user's emotion, and a means for dynamically adjusting information based on the identified emotion. This enables optimal information provision based on the user's interests and facilitates contract negotiations and conclusions between companies. Furthermore, generating and providing new technology plan proposals for factory robots can improve the robot's work efficiency.

[0262] "Published patent information" refers to information about patents that is publicly available and is included in databases that include patent technologies and related literature.

[0263] "Analysis" is the act of receiving patent information in the form of data, breaking down that data, and classifying and organizing it to make it easier to understand.

[0264] "Technology category" refers to a category for classifying acquired patent information into specific technical fields.

[0265] A "new technology proposal" is a newly devised technical proposal or plan based on existing technology or patent information.

[0266] "Making public" refers to the act of disseminating information about new technology proposals to the general public and making them available for viewing.

[0267] "Mediating contracts between companies" refers to the act of supporting contract negotiations between different companies and facilitating the conclusion of contracts based on the disclosure of new technology plan proposals.

[0268] "Emotion identification" means determining the emotion or interest level of a user from the user's input data and behavior.

[0269] "Dynamic adjustment of information" refers to the act of changing the content and order of displayed information in real time based on the results of user emotion recognition.

[0270] MODE FOR CARRYING OUT THE INVENTION

[0271] This invention is a system that utilizes public patent information, generates new technology proposals from information categorized by technology, and mediates contracts between companies. Furthermore, it improves the user experience by recognizing the user's emotions.

[0272] System Overview

[0273] 1. Obtaining public patent information

[0274] The server accesses the public patent database and retrieves the corresponding patent information based on the search keywords entered by the user on the terminal, such as "robot arm" or "new material technology."

[0275] 2. Patent Information Analysis

[0276] The server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the patent information into technology categories and manages them systematically. For example, categories include manufacturing methods and material technologies.

[0277] 3. Creating new technology proposals

[0278] The server uses generative AI to generate new technology proposals based on patent information categorized by technology category. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to the use of new materials, the server generates a proposal for a new battery manufacturing method.

[0279] 4. Publication of new technology proposals

[0280] The new technology proposals generated will be made available to companies both in Japan and overseas via a web platform on a server, making it easier for energy-related companies to become interested in new technologies.

[0281] 5. Emotion recognition and information regulation

[0282] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes input from the device and mouse movements to evaluate the user's interest and emotions. For example, if the user shows "excitement" or "interest," the server is set to display that proposal with priority.

[0283] 6. Contract Mediation

[0284] When a user becomes interested in a new technology proposal and makes an inquiry, the server begins supporting contract negotiations, setting up meetings, drafting contracts, and acting as an intermediary to ensure the smooth process of the contract between the companies.

[0285] Hardware and software used

[0286] Server: Responsible for obtaining public patent information, analyzing and classifying patent information, generating new technology proposals, publishing them on the web platform, running the emotion engine, and supporting contract negotiations.

[0287] Public Patent Database: A source of patent information.

[0288] Artificial intelligence (AI) model: Analyzes patent information, classifies it into technology categories, and generates new technology proposals.

[0289] Emotion engine: Analyzes user emotions and adjusts information display.

[0290] As a specific example, patent information is obtained based on the search keyword "robot arm," which is then analyzed using an AI model and classified into technology categories such as "efficient operation method for robot arms using new materials."The resulting new technology proposal is "Energy-saving robot arm design based on high-precision positioning and the use of new materials."

[0291] Prompt Sentence Examples

[0292] Please explain the process of obtaining, analyzing, and classifying patent information related to "robot arms," ​​and then generating new technology proposals for each technology category.

[0293] This invention makes it possible to provide optimal information tailored to the user's interests and concerns, facilitating contract negotiations and conclusion between companies. Furthermore, by generating and providing new technology plans for factory robots, it is possible to improve the work efficiency of robots.

[0294] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0295] Program processing steps

[0296] Step 1:

[0297] Acquisition of public patent information

[0298] Subject: Server

[0299] Specific operation: The server accesses a public patent database based on search keywords entered by the user into the terminal.

[0300] Input: Search keywords entered by the user into the device (e.g., "robot arm")

[0301] Data processing and calculation: Generate database search queries using keywords and obtain patent information through API.

[0302] Output: Retrieved patent information (e.g. patent number, title, abstract)

[0303] Step 2:

[0304] Patent information analysis

[0305] Subject: Server

[0306] Specific operation: The server runs the AI ​​model to analyze the acquired patent information and classify it by technology category.

[0307] Input: Obtained patent information (patent number, title, abstract)

[0308] Data processing and calculation: Classify data into technical categories using text analysis and machine learning algorithms using AI models.

[0309] Output: Classified patent information (e.g. manufacturing methods, material technologies)

[0310] Step 3:

[0311] Generate new technology proposals

[0312] Subject: Server

[0313] Specific operation: The server uses generation AI to generate new technology proposals based on the classified patent information.

[0314] Input: Classified patent information (e.g., manufacturing methods, material technology)

[0315] Data processing and calculation: Using a generative AI model, multiple patent information is combined to generate specific proposals for new technologies.

[0316] Output: New technology proposal (e.g., efficient robot arm design using new materials)

[0317] Step 4:

[0318] Publication of new technology proposals

[0319] Subject: Server

[0320] Specific operation: The server publishes the generated new technology proposals via a web platform.

[0321] Input: New technology proposal (e.g., efficient robot arm design using new materials)

[0322] Data processing and calculation: Convert the proposal into an appropriate format and upload it to the web platform.

[0323] Output: New technology proposal published on the web platform

[0324] Step 5:

[0325] emotion recognition

[0326] Subject: Server

[0327] Specific operation: The server uses an emotion engine to recognize the user's emotion.

[0328] Input: User browsing data (e.g., browsing time, click frequency, mouse movements)

[0329] Data processing and calculation: The emotion engine analyzes strings and behavioral patterns to determine the user's emotions.

[0330] Output: Recognized emotion data (e.g., excitement, interest)

[0331] Step 6:

[0332] Dynamic adjustment of information

[0333] Subject: Server

[0334] Specific operation: The server dynamically adjusts the information display based on the recognized emotion data.

[0335] Input: Recognized emotion data (e.g., excitement, interest)

[0336] Data processing and calculation: Using a filtering algorithm, the order of display is changed to prioritize the most interesting proposals.

[0337] Output: Adjusted information display (e.g., new technology proposals that are of high interest to the user are displayed at the top)

[0338] Step 7:

[0339] Contract brokerage

[0340] Subject: Server

[0341] Specific operation: The server starts supporting contract negotiations in response to inquiries from users who are interested in the new technology proposal.

[0342] Input: User inquiry information (e.g., inquiry content, contact information)

[0343] Data processing and calculation: Analyze the inquiry content to set up appropriate meetings and draft contracts.

[0344] Output: Supported contract negotiation process (e.g., business meeting arrangements, draft contract)

[0345] Through the above steps, this invention effectively utilizes public patent information to smoothly generate new technology proposals and conclude contracts between companies.

[0346] 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.

[0347] 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.

[0348] 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.

[0349] [Second embodiment]

[0350] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0351] 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.

[0352] 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).

[0353] 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.

[0354] 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.

[0355] 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).

[0356] 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.

[0357] 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.

[0358] 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.

[0359] 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.

[0360] 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.

[0361] 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."

[0362] This invention is a system that acquires published patent information, analyzes it, classifies it into technology categories, and then uses the classified patent information to create and publish new technology proposals and mediate contracts between companies. The system of the present invention is specifically implemented as follows.

[0363] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[0364] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[0365] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[0366] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[0367] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[0368] As a concrete example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company is interested in the proposal and a contract is concluded, the possibility of the patented technology being put into practical use increases.

[0369] The above is a specific implementation of this system. By linking the server and users, the effective use of patent information and the creation of new technologies can be realized.

[0370] The processing flow will be explained below.

[0371] Step 1:

[0372] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[0373] Step 2:

[0374] The server accesses a public patent database and retrieves patent information based on the search keywords entered by the user.

[0375] Step 3:

[0376] The server stores the acquired patent information in an internal database.

[0377] Step 4:

[0378] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[0379] Step 5:

[0380] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[0381] Step 6:

[0382] The server stores the classified patent information in an internal database.

[0383] Step 7:

[0384] The server runs the generation AI and generates new technology proposals based on the classified patent information.

[0385] Step 8:

[0386] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[0387] Step 9:

[0388] The server uploads new technology proposals to a web platform and makes the information public.

[0389] Step 10:

[0390] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[0391] Step 11:

[0392] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[0393] Step 12:

[0394] The server will begin supporting contract negotiations by setting up meetings, drafting contracts, and mediating negotiations.

[0395] Step 13:

[0396] The server records the information when a contract is concluded and runs a system for tracking and reporting IP revenue.

[0397] As described above, each step works together to realize the effective use of patent information and the creation of new technologies.

[0398] Example 1

[0399] 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."

[0400] There is a need to efficiently acquire public patent information, classify and analyze it by technology category, systematically manage large amounts of patent information, and quickly generate and publish new technology proposals. However, with current technology, the analysis and classification of large amounts of patent information is often done manually, which is time-consuming and labor-intensive. In addition, the process of effectively disclosing the generated new technology proposals to companies and leading to contracts is cumbersome, so an efficient system is needed.

[0401] 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.

[0402] In this invention, the server includes means for acquiring published patent information, means for extracting the acquired published patent information from a database based on specified keywords, means for analyzing the acquired published patent information and classifying it by technology category, means for classifying and managing the analyzed patent information by technology category, means for generating new technology plan proposals using AI using the classified patent information, means for publishing the generated new technology plan proposals through a web platform, and means for mediating contracts between companies based on the published new technology plan proposals.This enables efficient analysis and classification of patent information, rapid generation of new technology plan proposals, and efficient inter-company contracts.

[0403] "Published patent information" refers to information about patents that can be obtained from publicly available patent documents or patent databases.

[0404] "Means of acquisition" refers to the techniques or methods used to retrieve specified data from a particular database or source.

[0405] "Means of analysis" refers to methods and techniques for analyzing acquired data and organizing it into useful information.

[0406] A "technology category" is a category of a specific technology area or field for dividing patent information.

[0407] A "classification means" is a technique or method for dividing acquired or analyzed information into specific categories.

[0408] "Generative AI" refers to models and technologies that use artificial intelligence to generate new content and ideas.

[0409] "Generating means" are techniques and methods for creating new data or information for specific purposes or needs.

[0410] "Web Platform" means a web-based environment or service for publishing and sharing information over the Internet.

[0411] "Contract intermediation" refers to technologies and services that support contract negotiations and agreements between different companies.

[0412] This invention is a system in which a server, a terminal, and a user cooperate with each other to acquire and analyze published patent information, generate technical proposals, and mediate contracts. A specific embodiment of this system is described below.

[0413] First, a user opens a dedicated web application on their device. They enter keywords such as "energy storage" or "battery technology" into the search bar. Next, the server accesses a public patent database via the Internet based on this input. In this case, a commonly known patent information database (e.g., Google Patents or the USPTO database) is used as the database. The server sends an API request to the database to extract patent information corresponding to the specified search keywords and saves the retrieved patent information in local data storage (e.g., Amazon S3).

[0414] Next, the server runs a natural language processing model (NLP model) to analyze the patent information. This NLP model is built using Python's TensorFlow and PyTorch libraries. The server uses the NLP model to classify the patent information acquired by the NLP model into technology categories (e.g., manufacturing methods, material technologies, etc.). This allows the server to systematically manage large amounts of patent information.

[0415] Next, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate a new technology proposal. Based on the analyzed and classified patent information, the GPT-4 model creates a new technology proposal. The generated technology proposal includes specific technical content and proposals for utilization.

[0416] The generated new technology proposals are made available to domestic and international companies via a web platform (such as AWS or Microsoft Azure) from a server. Companies can view the technology proposals through this web platform and find out more about the technologies that interest them.

[0417] If a user is interested in a new technology proposal, the server provides functions to support contract negotiations, such as setting up online meetings and drafting contracts (for example, using electronic signature services such as DocuSign). Through these functions, the server helps to smoothly advance contract negotiations between companies.

[0418] As an example of how this works, when a user types "energy storage" into the search bar, the server requests and retrieves the corresponding patent information from the Google Patents API. The retrieved information is then input into an NLP model and classified into technology categories. Next, a new technology proposal is generated by the GPT-4 model, and its contents are published on a web platform. Meanwhile, if a company is interested in this proposal, the server automatically schedules a meeting and provides a series of contract support services, such as sending an electronic contract.

[0419] Example prompt sentence:

[0420] Please classify patent information related to "energy storage" into the following technology categories:

[0421] 1. Manufacturing method

[0422] 2. Materials technology

[0423] 3. How to use

[0424] Then, combine the patent information from each category to generate new technology proposals.

[0425] The above is an embodiment of the present invention. Close cooperation between the server and the user enables efficient acquisition, analysis, and management of patent information, as well as the creation and utilization of new technologies.

[0426] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0427] Step 1:

[0428] The user enters search keywords using the terminal.

[0429] The user opens a dedicated web application on their device and enters a specific keyword (e.g., "energy storage" or "battery technology") into the search bar, which is then sent to the server.

[0430] (Input: Search keyword, Output: Send search keyword)

[0431] Step 2:

[0432] The server accesses a public patent database and obtains patent information.

[0433] The server accesses public patent databases (e.g., Google Patents or the USPTO database) via the Internet and sends API requests to extract patent information based on search keywords. This patent information is then stored in local data storage (e.g., Amazon S3) on the server.

[0434] (Input: Search keyword, Output: Obtain patent information)

[0435] Step 3:

[0436] The server analyzes the patent information it acquires and classifies it into technology categories.

[0437] The server runs a natural language processing (NLP) model built using Python's TensorFlow and PyTorch. Patent information is input into the NLP model, which classifies it by technology category (e.g., manufacturing method, material technology, etc.). The classification results are stored on the server.

[0438] (Input: patent information, Output: classified patent information)

[0439] Step 4:

[0440] The server generates new technology proposals based on patent information classified by technology category.

[0441] The server uses a generative AI model such as OpenAI's GPT-4 to generate new technology proposals based on the analyzed and classified patent information. This generation process combines different technical information to output new and unique technology proposals.

[0442] (Input: Classified patent information, Output: New technology proposal)

[0443] Step 5:

[0444] The server publishes the generated new technology proposals on a web platform via the Internet.

[0445] The server uploads the data of new technology proposals to a web server and makes them available for viewing on a dedicated web platform, allowing domestic and international companies to access and check the new technology proposals.

[0446] (Input: New technology proposal, Output: Published proposal)

[0447] Step 6:

[0448] We provide support in contract negotiations when users are interested in new technology proposals.

[0449] When a company expresses interest in a new technology proposal and makes an inquiry, the server schedules an online meeting and drafts a contract, using an electronic signature service such as DocuSign, and assists in the contract negotiation process.

[0450] (Input: Inquiry from company, Output: Scheduled meeting and contract draft)

[0451] These are the specific processing steps of the program for this system. At each step, it is made clear how specific input data is processed or calculated, and what output is obtained as a result.

[0452] (Application example 1)

[0453] 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."

[0454] In conventional systems that acquire and analyze public patent information, classify it into technology categories, and generate new technology proposals, the use of the analysis results is limited, and there are problems with not being able to support the implementation of new technologies or improve processes, particularly those related to industrial automation.In addition, there are few examples of new technology proposals being applied to specific industrial automation equipment, making it difficult to mediate practical contracts between companies.

[0455] 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.

[0456] In this invention, the server includes means for acquiring published patent information, means for analyzing the acquired published patent information and classifying it by technology category, means for generating a new technology plan using the classified patent information, means for installing the generated new technology plan in an industrial automation device to provide process improvement or support for the implementation of new technology, means for publishing the generated new technology plan, and means for mediating contracts between companies based on the published new technology plan. This makes it possible to apply the results of the patent information analysis to specific industrial automation devices and actually provide support for process improvement or the implementation of new technology.

[0457] "Published patent information" refers to technical information on patents that is publicly available and is obtained from patent databases and published literature.

[0458] "Means for analyzing patent information and classifying it by technology category" refers to collecting publicly available patent information and organizing its contents by technology field using classification algorithms or artificial intelligence.

[0459] A "new technology proposal" is a proposal that describes the concept of a new technology or product based on collected and classified patent information.

[0460] "Industrial automation equipment" refers to equipment that includes hardware and software for achieving automation in factories and production lines.

[0461] "Process improvement" refers to proposing methods and means to improve the efficiency and quality of existing manufacturing processes and business processes.

[0462] "Support for the implementation of new technologies" means providing the necessary support and implementation procedures so that newly proposed technologies and methods can be applied in the field.

[0463] A "web platform" is an online infrastructure for providing and sharing information via the Internet.

[0464] "Means of mediating contracts between companies" refers to means of supporting negotiations, coordination, document preparation, etc. when two or more companies enter into a contract based on a new technology proposal.

[0465] This invention is a system that acquires and analyzes published patent information, classifies it by technology category, generates and publishes new technology proposals, and brokers contracts between companies based on those proposals. This system can be applied to industrial automation equipment in particular to support process improvements and the implementation of new technologies.

[0466] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "automation" or "sensor technology" are entered, the server extracts corresponding patent information from the database.

[0467] The server then analyzes the acquired patent information using an artificial intelligence (AI) model. The AI ​​model classifies the patent information by technology category, organizing it into categories such as manufacturing methods, material technologies, and automation technologies. This allows for the systematic management of large amounts of patent information.

[0468] Next, the server uses generative AI to combine patent information categorized by technology category to generate new technology proposals. For example, by combining specific automation technology and sensor technology, it generates a proposal for a new factory line automation system. This proposal includes specific technical content and proposals for utilization.

[0469] The generated new technology proposals are made public via a web platform from the server. This disclosure of information increases the likelihood that companies interested in industrial automation will be interested in the new technology. For example, if a company interested in a specific industrial technology finds this new technology proposal and is interested, they can make an inquiry directly.

[0470] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[0471] Specific examples

[0472] For example, to obtain and analyze patent information related to automation, patent information is collected from public patent databases using the keyword "automation." The collected patent information is then analyzed using an AI model, classified by technology category, and a technical proposal for a new factory line automation system is generated. This includes specific manufacturing process improvements and methods for introducing new technologies using patent information.

[0473] Prompt Sentence Examples

[0474] Generate new technology proposals: robotic automation technology, quality control using sensors, improving production efficiency through the introduction of AI, etc.

[0475] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0476] Step 1:

[0477] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. The input data is the search keywords, and the output data is a list of patent information.

[0478] Specific behavior:

[0479] The user enters a keyword such as "automation" into the terminal, and the server uses the keyword to retrieve related patent information from a public patent database.

[0480] Step 2:

[0481] The server analyzes the acquired patent information and classifies it by technology category. The input data is a list of acquired patent information, and the output data is patent information classified by technology category.

[0482] Specific behavior:

[0483] The server uses AI models to analyze patent information and classify it into technology categories such as automation technology, sensor technology, and manufacturing methods.

[0484] Step 3:

[0485] The server uses the classified patent information to generate a new technology plan. The input data is patent information classified by technology category, and the output data is a new technology plan.

[0486] Specific behavior:

[0487] The server uses the generative AI model to generate proposals for new factory line automation systems that combine automation and sensor technologies. An example of a prompt is "Generate new technology proposals: robot automation technology, quality control using sensors, improving production efficiency by introducing AI, etc."

[0488] Step 4:

[0489] The server publishes the generated new technology proposal via a web platform. The input data is the generated new technology proposal, and the output data is the published new technology proposal.

[0490] Specific behavior:

[0491] The server converts the generated new technology proposal into a web page in HTML format and makes it available on the Internet.

[0492] Step 5:

[0493] When a user (company) views a published new technology proposal and shows interest, the server starts supporting contract negotiations. The input data is the user's inquiry information, and the output data is the support results for contract negotiations.

[0494] Specific behavior:

[0495] When a user expresses interest in a new technology proposal on the web platform, they submit an inquiry, and the server receives the inquiry and provides support such as setting up a meeting and drafting a contract.

[0496] 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.

[0497] This invention is a system that acquires published patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies.The invention also improves the user experience by combining it with an emotion engine that recognizes user emotions.The system of the present invention is specifically implemented as follows.

[0498] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[0499] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[0500] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[0501] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[0502] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's reactions and evaluates their level of interest in the new technology proposal. For example, if the user's emotions are judged to be "excitement" or "interest" based on the input content from the device, viewing time, mouse movements, etc., the server acquires that information.

[0503] Based on the emotional data collected using the emotion engine, the server adjusts the display order and content of new technology proposals. For example, it is set to prioritize the display of proposals that the user expressed excitement or interest in. In this way, the server provides optimal information according to the user's emotions.

[0504] Finally, if a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property revenue and secure new research and development funds.

[0505] Here is a concrete example:

[0506] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal, and the emotion engine detects excitement or interest, information will be provided to that company in a targeted manner. If a contract is ultimately concluded, the patented technology will be more likely to be put into practical use.

[0507] The above is a concrete example of this system. The server, terminals, and users work together to effectively utilize patent information and create new technologies.

[0508] The processing flow will be explained below.

[0509] Step 1:

[0510] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[0511] Step 2:

[0512] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user.

[0513] Step 3:

[0514] The server stores the acquired patent information in an internal database.

[0515] Step 4:

[0516] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[0517] Step 5:

[0518] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[0519] Step 6:

[0520] The server stores the classified patent information in an internal database.

[0521] Step 7:

[0522] The server uses generation AI to generate new technology proposals based on the classified patent information.

[0523] Step 8:

[0524] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[0525] Step 9:

[0526] The server uploads new technology proposals to a web platform and makes the information public.

[0527] Step 10:

[0528] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[0529] Step 11:

[0530] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[0531] Step 12:

[0532] The server uses an emotion engine to recognize the user's emotions. For example, it uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice.

[0533] Step 13:

[0534] The server uses an emotion engine to analyze the user's emotion data and evaluate their interest in the new technology proposal. This evaluation identifies the user's emotions, such as "excitement" or "interest."

[0535] Step 14:

[0536] The server adjusts the display order and content of new technology proposals based on the collected emotional data. For example, it prioritizes the display of proposals that the user expressed excitement or interest in.

[0537] Step 15:

[0538] When a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server receives the response and begins supporting contract negotiations.

[0539] Step 16:

[0540] The server supports contract negotiations by arranging meetings, drafting contracts, and mediating negotiations.

[0541] Step 17:

[0542] The server will record the information if a deal is ultimately concluded and run a system for tracking and reporting IP revenue.

[0543] In this way, the system of the present invention effectively utilizes patent information and efficiently advances the process from the creation of new technology proposals to their market launch. The introduction of an emotion engine will improve the user experience and promote the practical application of patented technologies.

[0544] Example 2

[0545] 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."

[0546] In the process of generating new technology proposals from public patent information and linking them to contracts between companies using conventional technology, there were issues with the accuracy of analyzing and classifying patent information, the quality of the generated proposals, and the efficiency of concluding contracts between companies.In addition, information provided did not reflect the user's feelings, and the user experience was not improved.

[0547] 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 a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating a contract between companies based on the published new technology plan, a means for recognizing a user's emotion, and a means for optimizing the display of the technology plan based on the recognized user's emotion information. This enhances the analysis and classification of published patent information, improves the quality of the generated plan, and enhances the user experience, thereby enabling efficient contract formation between companies.

[0548] "Published patent information" means information about a patent that is available from publicly accessible patent databases.

[0549] "Technology category" refers to a category that is classified based on a specific technical field or technical characteristics.

[0550] A "new technology proposal" is a proposal for a new technology created based on existing patent information.

[0551] The "Web platform" is a fundamental system for providing services over the Internet.

[0552] "Artificial intelligence" is a technology that allows computers to learn and reason by imitating human intelligence.

[0553] A "generative AI model" is an algorithm or computer program that generates new outputs based on specific inputs.

[0554] "User emotion" refers to the psychological reaction a user has to a particular piece of information or situation.

[0555] An "emotion engine" is a system that recognizes a user's emotional state by analyzing a series of actions and input data.

[0556] A "contract mediation device" is a system that helps ensure that a contract between two or more companies is concluded smoothly.

[0557] An "optimization measure" is a mechanism for adjusting or improving something to achieve the most effective results for a particular purpose.

[0558] This invention is a system that acquires public patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it improves the user experience.

[0559] First, a user inputs specific search keywords into the terminal. For example, keywords such as "energy storage" or "battery technology" may be input. Next, the server accesses a public patent database (e.g., "public patent database" or "patent information platform") to retrieve patent information based on the input keywords. The server then extracts the corresponding patent information from the database and temporarily stores it.

[0560] The server then uses an AI model (such as BERT or GPT-4) to classify the acquired patent information into technology categories, such as "manufacturing methods" and "material technologies." This allows for the systematic management of large amounts of patent information.

[0561] The server then uses a generative AI model (such as GPT-4) to generate a new technology proposal based on the patent information categorized by technology category. Specifically, it combines "patents related to manufacturing methods for lithium-ion batteries" with "patents related to methods for using new materials" to generate a proposal for a new battery manufacturing method. This proposal includes specific technical details and proposals for utilization.

[0562] The generated new technology proposals are made available to domestic and international companies via a web platform (such as a cloud service) from a server, allowing companies interested in a particular technology to easily view information about the new technology.

[0563] Next, if a user (company) shows interest in a new technology proposal, the server uses an emotion engine (for example, an "emotion recognition system") to recognize the user's emotions. Specifically, the server analyzes emotions based on the user's input, viewing time, mouse movements, etc. This information is sent to the server, and if the user's emotions are determined to be "excitement" or "interest," the server uses this data to adjust the display order and content of the technology proposals. For example, it is set up so that technology proposals that the user is particularly interested in are displayed first.

[0564] Finally, if a user (company) becomes more interested in the new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn revenue from their intellectual property.

[0565] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is acquired and analyzed and classified using an AI model. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal and the emotion engine detects "excitement" or "interest," information will be provided to that company in a targeted manner. If a contract is ultimately concluded between the companies, the likelihood of the patented technology being put into practical use increases.

[0566] Prompt Sentence Examples

[0567] Obtain the latest patent information on "energy storage" or "battery technology," analyze it in detail, and generate new technology proposals.

[0568] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0569] Step 1:

[0570] The user inputs a search keyword into the terminal.

[0571] Users enter keywords related to a specific technology field, such as "energy storage" or "battery technology," into their device, and the search keywords are sent to the server.

[0572] Input: Search keyword (e.g., energy storage)

[0573] Output: Keywords sent to the server

[0574] Step 2:

[0575] The server accesses a public patent database and obtains patent information.

[0576] The server accesses public patent databases based on the search keywords submitted by the user. For example, the server extracts relevant patent information from "public patent databases" or "patent information platforms" and temporarily stores it.

[0577] Input: Search keywords sent to the server

[0578] Output: Retrieved patent information

[0579] Step 3:

[0580] The server analyzes the patent information it acquires and classifies it into technology categories.

[0581] The server analyzes the acquired patent information using an AI model (such as "BERT" or "GPT-4"). As a result of the analysis, the patent information is classified into technology categories such as "manufacturing method" and "material technology."

[0582] (Application example 2)

[0583] 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."

[0584] Previously, generating new technology proposals and brokering contracts between companies using public patent information was time-consuming and inefficient. Furthermore, information was provided to users uniformly, and optimal information that reflected individual interests was not provided. As a result, new technology proposals were not fully utilized, and opportunities for technological development and contract signing were lost. Furthermore, specific technical proposals for improving the work efficiency of factory robots were also insufficient.

[0585] 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.

[0586] In this invention, the server includes a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating contracts between companies based on the published new technology plan, a means for identifying a user's emotion, and a means for dynamically adjusting information based on the identified emotion. This enables optimal information provision based on the user's interests and facilitates contract negotiations and conclusions between companies. Furthermore, generating and providing new technology plan proposals for factory robots can improve the robot's work efficiency.

[0587] "Published patent information" refers to information about patents that is publicly available and is included in databases that include patent technologies and related literature.

[0588] "Analysis" is the act of receiving patent information in the form of data, breaking down that data, and classifying and organizing it to make it easier to understand.

[0589] "Technology category" refers to a category for classifying acquired patent information into specific technical fields.

[0590] A "new technology proposal" is a newly devised technical proposal or plan based on existing technology or patent information.

[0591] "Making public" refers to the act of disseminating information about new technology proposals to the general public and making them available for viewing.

[0592] "Mediating contracts between companies" refers to the act of supporting contract negotiations between different companies and facilitating the conclusion of contracts based on the disclosure of new technology plan proposals.

[0593] "Emotion identification" means determining the emotion or interest level of a user from the user's input data and behavior.

[0594] "Dynamic adjustment of information" refers to the act of changing the content and order of displayed information in real time based on the results of user emotion recognition.

[0595] MODE FOR CARRYING OUT THE INVENTION

[0596] This invention is a system that utilizes public patent information, generates new technology proposals from information categorized by technology, and mediates contracts between companies. Furthermore, it improves the user experience by recognizing the user's emotions.

[0597] System Overview

[0598] 1. Obtaining public patent information

[0599] The server accesses the public patent database and retrieves the corresponding patent information based on the search keywords entered by the user on the terminal, such as "robot arm" or "new material technology."

[0600] 2. Patent Information Analysis

[0601] The server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the patent information into technology categories and manages them systematically. For example, categories include manufacturing methods and material technologies.

[0602] 3. Creating new technology proposals

[0603] The server uses generative AI to generate new technology proposals based on patent information categorized by technology category. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to the use of new materials, the server generates a proposal for a new battery manufacturing method.

[0604] 4. Publication of new technology proposals

[0605] The new technology proposals generated will be made available to companies both in Japan and overseas via a web platform on a server, making it easier for energy-related companies to become interested in new technologies.

[0606] 5. Emotion recognition and information regulation

[0607] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes input from the device and mouse movements to evaluate the user's interest and emotions. For example, if the user shows "excitement" or "interest," the server is set to display that proposal with priority.

[0608] 6. Contract Mediation

[0609] When a user becomes interested in a new technology proposal and makes an inquiry, the server begins supporting contract negotiations, setting up meetings, drafting contracts, and acting as an intermediary to ensure the smooth process of the contract between the companies.

[0610] Hardware and software used

[0611] Server: Responsible for obtaining public patent information, analyzing and classifying patent information, generating new technology proposals, publishing them on the web platform, running the emotion engine, and supporting contract negotiations.

[0612] Public Patent Database: A source of patent information.

[0613] Artificial intelligence (AI) model: Analyzes patent information, classifies it into technology categories, and generates new technology proposals.

[0614] Emotion engine: Analyzes user emotions and adjusts information display.

[0615] As a specific example, patent information is obtained based on the search keyword "robot arm," which is then analyzed using an AI model and classified into technology categories such as "efficient operation method for robot arms using new materials."The resulting new technology proposal is "Energy-saving robot arm design based on high-precision positioning and the use of new materials."

[0616] Prompt Sentence Examples

[0617] Please explain the process of obtaining, analyzing, and classifying patent information related to "robot arms," ​​and then generating new technology proposals for each technology category.

[0618] This invention makes it possible to provide optimal information tailored to the user's interests and concerns, facilitating contract negotiations and conclusion between companies. Furthermore, by generating and providing new technology plans for factory robots, it is possible to improve the work efficiency of robots.

[0619] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0620] Program processing steps

[0621] Step 1:

[0622] Acquisition of public patent information

[0623] Subject: Server

[0624] Specific operation: The server accesses a public patent database based on search keywords entered by the user into the terminal.

[0625] Input: Search keywords entered by the user into the device (e.g., "robot arm")

[0626] Data processing and calculation: Generate database search queries using keywords and obtain patent information through API.

[0627] Output: Retrieved patent information (e.g. patent number, title, abstract)

[0628] Step 2:

[0629] Patent information analysis

[0630] Subject: Server

[0631] Specific operation: The server runs the AI ​​model to analyze the acquired patent information and classify it by technology category.

[0632] Input: Obtained patent information (patent number, title, abstract)

[0633] Data processing and calculation: Classify data into technical categories using text analysis and machine learning algorithms using AI models.

[0634] Output: Classified patent information (e.g. manufacturing methods, material technologies)

[0635] Step 3:

[0636] Generate new technology proposals

[0637] Subject: Server

[0638] Specific operation: The server uses generation AI to generate new technology proposals based on the classified patent information.

[0639] Input: Classified patent information (e.g., manufacturing methods, material technology)

[0640] Data processing and calculation: Using a generative AI model, multiple patent information is combined to generate specific proposals for new technologies.

[0641] Output: New technology proposal (e.g., efficient robot arm design using new materials)

[0642] Step 4:

[0643] Publication of new technology proposals

[0644] Subject: Server

[0645] Specific operation: The server publishes the generated new technology proposals via a web platform.

[0646] Input: New technology proposal (e.g., efficient robot arm design using new materials)

[0647] Data processing and calculation: Convert the proposal into an appropriate format and upload it to the web platform.

[0648] Output: New technology proposal published on the web platform

[0649] Step 5:

[0650] emotion recognition

[0651] Subject: Server

[0652] Specific operation: The server uses an emotion engine to recognize the user's emotion.

[0653] Input: User browsing data (e.g., browsing time, click frequency, mouse movements)

[0654] Data processing and calculation: The emotion engine analyzes strings and behavioral patterns to determine the user's emotions.

[0655] Output: Recognized emotion data (e.g., excitement, interest)

[0656] Step 6:

[0657] Dynamic adjustment of information

[0658] Subject: Server

[0659] Specific operation: The server dynamically adjusts the information display based on the recognized emotion data.

[0660] Input: Recognized emotion data (e.g., excitement, interest)

[0661] Data processing and calculation: Using a filtering algorithm, the order of display is changed to prioritize the most interesting proposals.

[0662] Output: Adjusted information display (e.g., new technology proposals that are of high interest to the user are displayed at the top)

[0663] Step 7:

[0664] Contract brokerage

[0665] Subject: Server

[0666] Specific operation: The server starts supporting contract negotiations in response to inquiries from users who are interested in the new technology proposal.

[0667] Input: User inquiry information (e.g., inquiry content, contact information)

[0668] Data processing and calculation: Analyze the inquiry content to set up appropriate meetings and draft contracts.

[0669] Output: Supported contract negotiation process (e.g., business meeting arrangements, draft contract)

[0670] Through the above steps, this invention effectively utilizes public patent information to smoothly generate new technology proposals and conclude contracts between companies.

[0671] 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.

[0672] 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.

[0673] 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.

[0674] [Third embodiment]

[0675] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0676] 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.

[0677] 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).

[0678] 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.

[0679] 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.

[0680] 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).

[0681] 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.

[0682] 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.

[0683] 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.

[0684] 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.

[0685] 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.

[0686] 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."

[0687] This invention is a system that acquires published patent information, analyzes it, classifies it into technology categories, and then uses the classified patent information to create and publish new technology proposals and mediate contracts between companies. The system of the present invention is specifically implemented as follows.

[0688] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[0689] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[0690] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[0691] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[0692] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[0693] As a concrete example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company is interested in the proposal and a contract is concluded, the possibility of the patented technology being put into practical use increases.

[0694] The above is a specific implementation of this system. By linking the server and users, the effective use of patent information and the creation of new technologies can be realized.

[0695] The processing flow will be explained below.

[0696] Step 1:

[0697] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[0698] Step 2:

[0699] The server accesses a public patent database and retrieves patent information based on the search keywords entered by the user.

[0700] Step 3:

[0701] The server stores the acquired patent information in an internal database.

[0702] Step 4:

[0703] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[0704] Step 5:

[0705] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[0706] Step 6:

[0707] The server stores the classified patent information in an internal database.

[0708] Step 7:

[0709] The server runs the generation AI and generates new technology proposals based on the classified patent information.

[0710] Step 8:

[0711] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[0712] Step 9:

[0713] The server uploads new technology proposals to a web platform and makes the information public.

[0714] Step 10:

[0715] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[0716] Step 11:

[0717] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[0718] Step 12:

[0719] The server will begin supporting contract negotiations by setting up meetings, drafting contracts, and mediating negotiations.

[0720] Step 13:

[0721] The server records the information when a contract is concluded and runs a system for tracking and reporting IP revenue.

[0722] As described above, each step works together to realize the effective use of patent information and the creation of new technologies.

[0723] Example 1

[0724] 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."

[0725] There is a need to efficiently acquire public patent information, classify and analyze it by technology category, systematically manage large amounts of patent information, and quickly generate and publish new technology proposals. However, with current technology, the analysis and classification of large amounts of patent information is often done manually, which is time-consuming and labor-intensive. In addition, the process of effectively disclosing the generated new technology proposals to companies and leading to contracts is cumbersome, so an efficient system is needed.

[0726] 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.

[0727] In this invention, the server includes means for acquiring published patent information, means for extracting the acquired published patent information from a database based on specified keywords, means for analyzing the acquired published patent information and classifying it by technology category, means for classifying and managing the analyzed patent information by technology category, means for generating new technology plan proposals using AI using the classified patent information, means for publishing the generated new technology plan proposals through a web platform, and means for mediating contracts between companies based on the published new technology plan proposals.This enables efficient analysis and classification of patent information, rapid generation of new technology plan proposals, and efficient inter-company contracts.

[0728] "Published patent information" refers to information about patents that can be obtained from publicly available patent documents or patent databases.

[0729] "Means of acquisition" refers to the techniques or methods used to retrieve specified data from a particular database or source.

[0730] "Means of analysis" refers to methods and techniques for analyzing acquired data and organizing it into useful information.

[0731] A "technology category" is a category of a specific technology area or field for dividing patent information.

[0732] A "classification means" is a technique or method for dividing acquired or analyzed information into specific categories.

[0733] "Generative AI" refers to models and technologies that use artificial intelligence to generate new content and ideas.

[0734] "Generating means" are techniques and methods for creating new data or information for specific purposes or needs.

[0735] "Web Platform" means a web-based environment or service for publishing and sharing information over the Internet.

[0736] "Contract intermediation" refers to technologies and services that support contract negotiations and agreements between different companies.

[0737] This invention is a system in which a server, a terminal, and a user cooperate with each other to acquire and analyze published patent information, generate technical proposals, and mediate contracts. A specific embodiment of this system is described below.

[0738] First, a user opens a dedicated web application on their device. They enter keywords such as "energy storage" or "battery technology" into the search bar. Next, the server accesses a public patent database via the Internet based on this input. In this case, a commonly known patent information database (e.g., Google Patents or the USPTO database) is used as the database. The server sends an API request to the database to extract patent information corresponding to the specified search keywords and saves the retrieved patent information in local data storage (e.g., Amazon S3).

[0739] Next, the server runs a natural language processing model (NLP model) to analyze the patent information. This NLP model is built using Python's TensorFlow and PyTorch libraries. The server uses the NLP model to classify the patent information acquired by the NLP model into technology categories (e.g., manufacturing methods, material technologies, etc.). This allows the server to systematically manage large amounts of patent information.

[0740] Next, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate a new technology proposal. Based on the analyzed and classified patent information, the GPT-4 model creates a new technology proposal. The generated technology proposal includes specific technical content and proposals for utilization.

[0741] The generated new technology proposals are made available to domestic and international companies via a web platform (such as AWS or Microsoft Azure) from a server. Companies can view the technology proposals through this web platform and find out more about the technologies that interest them.

[0742] If a user is interested in a new technology proposal, the server provides functions to support contract negotiations, such as setting up online meetings and drafting contracts (for example, using electronic signature services such as DocuSign). Through these functions, the server helps to smoothly advance contract negotiations between companies.

[0743] As an example of how this works, when a user types "energy storage" into the search bar, the server requests and retrieves the corresponding patent information from the Google Patents API. The retrieved information is then input into an NLP model and classified into technology categories. Next, a new technology proposal is generated by the GPT-4 model, and its contents are published on a web platform. Meanwhile, if a company is interested in this proposal, the server automatically schedules a meeting and provides a series of contract support services, such as sending an electronic contract.

[0744] Example prompt sentence:

[0745] Please classify patent information related to "energy storage" into the following technology categories:

[0746] 1. Manufacturing method

[0747] 2. Materials technology

[0748] 3. How to use

[0749] Then, combine the patent information from each category to generate new technology proposals.

[0750] The above is an embodiment of the present invention. Close cooperation between the server and the user enables efficient acquisition, analysis, and management of patent information, as well as the creation and utilization of new technologies.

[0751] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0752] Step 1:

[0753] The user enters search keywords using the terminal.

[0754] The user opens a dedicated web application on their device and enters a specific keyword (e.g., "energy storage" or "battery technology") into the search bar, which is then sent to the server.

[0755] (Input: Search keyword, Output: Send search keyword)

[0756] Step 2:

[0757] The server accesses a public patent database and obtains patent information.

[0758] The server accesses public patent databases (e.g., Google Patents or the USPTO database) via the Internet and sends API requests to extract patent information based on search keywords. This patent information is then stored in local data storage (e.g., Amazon S3) on the server.

[0759] (Input: Search keyword, Output: Obtain patent information)

[0760] Step 3:

[0761] The server analyzes the patent information it acquires and classifies it into technology categories.

[0762] The server runs a natural language processing (NLP) model built using Python's TensorFlow and PyTorch. Patent information is input into the NLP model, which classifies it by technology category (e.g., manufacturing method, material technology, etc.). The classification results are stored on the server.

[0763] (Input: patent information, Output: classified patent information)

[0764] Step 4:

[0765] The server generates new technology proposals based on patent information classified by technology category.

[0766] The server uses a generative AI model such as OpenAI's GPT-4 to generate new technology proposals based on the analyzed and classified patent information. This generation process combines different technical information to output new and unique technology proposals.

[0767] (Input: Classified patent information, Output: New technology proposal)

[0768] Step 5:

[0769] The server publishes the generated new technology proposals on a web platform via the Internet.

[0770] The server uploads the data of new technology proposals to a web server and makes them available for viewing on a dedicated web platform, allowing domestic and international companies to access and check the new technology proposals.

[0771] (Input: New technology proposal, Output: Published proposal)

[0772] Step 6:

[0773] We provide support in contract negotiations when users are interested in new technology proposals.

[0774] When a company expresses interest in a new technology proposal and makes an inquiry, the server schedules an online meeting and drafts a contract, using an electronic signature service such as DocuSign, and assists in the contract negotiation process.

[0775] (Input: Inquiry from company, Output: Scheduled meeting and contract draft)

[0776] These are the specific processing steps of the program for this system. At each step, it is made clear how specific input data is processed or calculated, and what output is obtained as a result.

[0777] (Application example 1)

[0778] 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."

[0779] In conventional systems that acquire and analyze public patent information, classify it into technology categories, and generate new technology proposals, the use of the analysis results is limited, and there are problems with not being able to support the implementation of new technologies or improve processes, particularly those related to industrial automation.In addition, there are few examples of new technology proposals being applied to specific industrial automation equipment, making it difficult to mediate practical contracts between companies.

[0780] 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.

[0781] In this invention, the server includes means for acquiring published patent information, means for analyzing the acquired published patent information and classifying it by technology category, means for generating a new technology plan using the classified patent information, means for installing the generated new technology plan in an industrial automation device to provide process improvement or support for the implementation of new technology, means for publishing the generated new technology plan, and means for mediating contracts between companies based on the published new technology plan. This makes it possible to apply the results of the patent information analysis to specific industrial automation devices and actually provide support for process improvement or the implementation of new technology.

[0782] "Published patent information" refers to technical information on patents that is publicly available and is obtained from patent databases and published literature.

[0783] "Means for analyzing patent information and classifying it by technology category" refers to collecting publicly available patent information and organizing its contents by technology field using classification algorithms or artificial intelligence.

[0784] A "new technology proposal" is a proposal that describes the concept of a new technology or product based on collected and classified patent information.

[0785] "Industrial automation equipment" refers to equipment that includes hardware and software for achieving automation in factories and production lines.

[0786] "Process improvement" refers to proposing methods and means to improve the efficiency and quality of existing manufacturing processes and business processes.

[0787] "Support for the implementation of new technologies" means providing the necessary support and implementation procedures so that newly proposed technologies and methods can be applied in the field.

[0788] A "web platform" is an online infrastructure for providing and sharing information via the Internet.

[0789] "Means of mediating contracts between companies" refers to means of supporting negotiations, coordination, document preparation, etc. when two or more companies enter into a contract based on a new technology proposal.

[0790] This invention is a system that acquires and analyzes published patent information, classifies it by technology category, generates and publishes new technology proposals, and brokers contracts between companies based on those proposals. This system can be applied to industrial automation equipment in particular to support process improvements and the implementation of new technologies.

[0791] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "automation" or "sensor technology" are entered, the server extracts corresponding patent information from the database.

[0792] The server then analyzes the acquired patent information using an artificial intelligence (AI) model. The AI ​​model classifies the patent information by technology category, organizing it into categories such as manufacturing methods, material technologies, and automation technologies. This allows for the systematic management of large amounts of patent information.

[0793] Next, the server uses generative AI to combine patent information categorized by technology category to generate new technology proposals. For example, by combining specific automation technology and sensor technology, it generates a proposal for a new factory line automation system. This proposal includes specific technical content and proposals for utilization.

[0794] The generated new technology proposals are made public via a web platform from the server. This disclosure of information increases the likelihood that companies interested in industrial automation will be interested in the new technology. For example, if a company interested in a specific industrial technology finds this new technology proposal and is interested, they can make an inquiry directly.

[0795] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[0796] Specific examples

[0797] For example, to obtain and analyze patent information related to automation, patent information is collected from public patent databases using the keyword "automation." The collected patent information is then analyzed using an AI model, classified by technology category, and a technical proposal for a new factory line automation system is generated. This includes specific manufacturing process improvements and methods for introducing new technologies using patent information.

[0798] Prompt Sentence Examples

[0799] Generate new technology proposals: robotic automation technology, quality control using sensors, improving production efficiency through the introduction of AI, etc.

[0800] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0801] Step 1:

[0802] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. The input data is the search keywords, and the output data is a list of patent information.

[0803] Specific behavior:

[0804] The user enters a keyword such as "automation" into the terminal, and the server uses the keyword to retrieve related patent information from a public patent database.

[0805] Step 2:

[0806] The server analyzes the acquired patent information and classifies it by technology category. The input data is a list of acquired patent information, and the output data is patent information classified by technology category.

[0807] Specific behavior:

[0808] The server uses AI models to analyze patent information and classify it into technology categories such as automation technology, sensor technology, and manufacturing methods.

[0809] Step 3:

[0810] The server uses the classified patent information to generate a new technology plan. The input data is patent information classified by technology category, and the output data is a new technology plan.

[0811] Specific behavior:

[0812] The server uses the generative AI model to generate proposals for new factory line automation systems that combine automation and sensor technologies. An example of a prompt is "Generate new technology proposals: robot automation technology, quality control using sensors, improving production efficiency by introducing AI, etc."

[0813] Step 4:

[0814] The server publishes the generated new technology proposal via a web platform. The input data is the generated new technology proposal, and the output data is the published new technology proposal.

[0815] Specific behavior:

[0816] The server converts the generated new technology proposal into a web page in HTML format and makes it available on the Internet.

[0817] Step 5:

[0818] When a user (company) views a published new technology proposal and shows interest, the server starts supporting contract negotiations. The input data is the user's inquiry information, and the output data is the support results for contract negotiations.

[0819] Specific behavior:

[0820] When a user expresses interest in a new technology proposal on the web platform, they submit an inquiry, and the server receives the inquiry and provides support such as setting up a meeting and drafting a contract.

[0821] 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.

[0822] This invention is a system that acquires published patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies.The invention also improves the user experience by combining it with an emotion engine that recognizes user emotions.The system of the present invention is specifically implemented as follows.

[0823] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[0824] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[0825] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[0826] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[0827] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's reactions and evaluates their level of interest in the new technology proposal. For example, if the user's emotions are judged to be "excitement" or "interest" based on the input content from the device, viewing time, mouse movements, etc., the server acquires that information.

[0828] Based on the emotional data collected using the emotion engine, the server adjusts the display order and content of new technology proposals. For example, it is set to prioritize the display of proposals that the user expressed excitement or interest in. In this way, the server provides optimal information according to the user's emotions.

[0829] Finally, if a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property revenue and secure new research and development funds.

[0830] Here is a concrete example:

[0831] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal, and the emotion engine detects excitement or interest, information will be provided to that company in a targeted manner. If a contract is ultimately concluded, the patented technology will be more likely to be put into practical use.

[0832] The above is a concrete example of this system. The server, terminals, and users work together to effectively utilize patent information and create new technologies.

[0833] The processing flow will be explained below.

[0834] Step 1:

[0835] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[0836] Step 2:

[0837] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user.

[0838] Step 3:

[0839] The server stores the acquired patent information in an internal database.

[0840] Step 4:

[0841] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[0842] Step 5:

[0843] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[0844] Step 6:

[0845] The server stores the classified patent information in an internal database.

[0846] Step 7:

[0847] The server uses generation AI to generate new technology proposals based on the classified patent information.

[0848] Step 8:

[0849] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[0850] Step 9:

[0851] The server uploads new technology proposals to a web platform and makes the information public.

[0852] Step 10:

[0853] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[0854] Step 11:

[0855] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[0856] Step 12:

[0857] The server uses an emotion engine to recognize the user's emotions. For example, it uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice.

[0858] Step 13:

[0859] The server uses an emotion engine to analyze the user's emotion data and evaluate their interest in the new technology proposal. This evaluation identifies the user's emotions, such as "excitement" or "interest."

[0860] Step 14:

[0861] The server adjusts the display order and content of new technology proposals based on the collected emotional data. For example, it prioritizes the display of proposals that the user expressed excitement or interest in.

[0862] Step 15:

[0863] When a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server receives the response and begins supporting contract negotiations.

[0864] Step 16:

[0865] The server supports contract negotiations by arranging meetings, drafting contracts, and mediating negotiations.

[0866] Step 17:

[0867] The server will record the information if a deal is ultimately concluded and run a system for tracking and reporting IP revenue.

[0868] In this way, the system of the present invention effectively utilizes patent information and efficiently advances the process from the creation of new technology proposals to their market launch. The introduction of an emotion engine will improve the user experience and promote the practical application of patented technologies.

[0869] Example 2

[0870] 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."

[0871] In the process of generating new technology proposals from public patent information and linking them to contracts between companies using conventional technology, there were issues with the accuracy of analyzing and classifying patent information, the quality of the generated proposals, and the efficiency of concluding contracts between companies.In addition, information provided did not reflect the user's feelings, and the user experience was not improved.

[0872] 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 a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating a contract between companies based on the published new technology plan, a means for recognizing a user's emotion, and a means for optimizing the display of the technology plan based on the recognized user's emotion information. This enhances the analysis and classification of published patent information, improves the quality of the generated plan, and enhances the user experience, thereby enabling efficient contract formation between companies.

[0873] "Published patent information" means information about a patent that is available from publicly accessible patent databases.

[0874] "Technology category" refers to a category that is classified based on a specific technical field or technical characteristics.

[0875] A "new technology proposal" is a proposal for a new technology created based on existing patent information.

[0876] The "Web platform" is a fundamental system for providing services over the Internet.

[0877] "Artificial intelligence" is a technology that allows computers to learn and reason by imitating human intelligence.

[0878] A "generative AI model" is an algorithm or computer program that generates new outputs based on specific inputs.

[0879] "User emotion" refers to the psychological reaction a user has to a particular piece of information or situation.

[0880] An "emotion engine" is a system that recognizes a user's emotional state by analyzing a series of actions and input data.

[0881] A "contract mediation device" is a system that helps ensure that a contract between two or more companies is concluded smoothly.

[0882] An "optimization measure" is a mechanism for adjusting or improving something to achieve the most effective results for a particular purpose.

[0883] This invention is a system that acquires public patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it improves the user experience.

[0884] First, a user inputs specific search keywords into the terminal. For example, keywords such as "energy storage" or "battery technology" may be input. Next, the server accesses a public patent database (e.g., "public patent database" or "patent information platform") to retrieve patent information based on the input keywords. The server then extracts the corresponding patent information from the database and temporarily stores it.

[0885] The server then uses an AI model (such as BERT or GPT-4) to classify the acquired patent information into technology categories, such as "manufacturing methods" and "material technologies." This allows for the systematic management of large amounts of patent information.

[0886] The server then uses a generative AI model (such as GPT-4) to generate a new technology proposal based on the patent information categorized by technology category. Specifically, it combines "patents related to manufacturing methods for lithium-ion batteries" with "patents related to methods for using new materials" to generate a proposal for a new battery manufacturing method. This proposal includes specific technical details and proposals for utilization.

[0887] The generated new technology proposals are made available to domestic and international companies via a web platform (such as a cloud service) from a server, allowing companies interested in a particular technology to easily view information about the new technology.

[0888] Next, if a user (company) shows interest in a new technology proposal, the server uses an emotion engine (for example, an "emotion recognition system") to recognize the user's emotions. Specifically, the server analyzes emotions based on the user's input, viewing time, mouse movements, etc. This information is sent to the server, and if the user's emotions are determined to be "excitement" or "interest," the server uses this data to adjust the display order and content of the technology proposals. For example, it is set up so that technology proposals that the user is particularly interested in are displayed first.

[0889] Finally, if a user (company) becomes more interested in the new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn revenue from their intellectual property.

[0890] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is acquired and analyzed and classified using an AI model. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal and the emotion engine detects "excitement" or "interest," information will be provided to that company in a targeted manner. If a contract is ultimately concluded between the companies, the likelihood of the patented technology being put into practical use increases.

[0891] Prompt Sentence Examples

[0892] Obtain the latest patent information on "energy storage" or "battery technology," analyze it in detail, and generate new technology proposals.

[0893] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0894] Step 1:

[0895] The user inputs a search keyword into the terminal.

[0896] Users enter keywords related to a specific technology field, such as "energy storage" or "battery technology," into their device, and the search keywords are sent to the server.

[0897] Input: Search keyword (e.g., energy storage)

[0898] Output: Keywords sent to the server

[0899] Step 2:

[0900] The server accesses a public patent database and obtains patent information.

[0901] The server accesses public patent databases based on the search keywords submitted by the user. For example, the server extracts relevant patent information from "public patent databases" or "patent information platforms" and temporarily stores it.

[0902] Input: Search keywords sent to the server

[0903] Output: Retrieved patent information

[0904] Step 3:

[0905] The server analyzes the patent information it acquires and classifies it into technology categories.

[0906] The server analyzes the acquired patent information using an AI model (such as "BERT" or "GPT-4"). As a result of the analysis, the patent information is classified into technology categories such as "manufacturing method" and "material technology."

[0907] (Application example 2)

[0908] 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."

[0909] Previously, generating new technology proposals and brokering contracts between companies using public patent information was time-consuming and inefficient. Furthermore, information was provided to users uniformly, and optimal information that reflected individual interests was not provided. As a result, new technology proposals were not fully utilized, and opportunities for technological development and contract signing were lost. Furthermore, specific technical proposals for improving the work efficiency of factory robots were also insufficient.

[0910] 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.

[0911] In this invention, the server includes a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating contracts between companies based on the published new technology plan, a means for identifying a user's emotion, and a means for dynamically adjusting information based on the identified emotion. This enables optimal information provision based on the user's interests and facilitates contract negotiations and conclusions between companies. Furthermore, generating and providing new technology plan proposals for factory robots can improve the robot's work efficiency.

[0912] "Published patent information" refers to information about patents that is publicly available and is included in databases that include patent technologies and related literature.

[0913] "Analysis" is the act of receiving patent information in the form of data, breaking down that data, and classifying and organizing it to make it easier to understand.

[0914] "Technology category" refers to a category for classifying acquired patent information into specific technical fields.

[0915] A "new technology proposal" is a newly devised technical proposal or plan based on existing technology or patent information.

[0916] "Making public" refers to the act of disseminating information about new technology proposals to the general public and making them available for viewing.

[0917] "Mediating contracts between companies" refers to the act of supporting contract negotiations between different companies and facilitating the conclusion of contracts based on the disclosure of new technology plan proposals.

[0918] "Emotion identification" means determining the emotion or interest level of a user from the user's input data and behavior.

[0919] "Dynamic adjustment of information" refers to the act of changing the content and order of displayed information in real time based on the results of user emotion recognition.

[0920] MODE FOR CARRYING OUT THE INVENTION

[0921] This invention is a system that utilizes public patent information, generates new technology proposals from information categorized by technology, and mediates contracts between companies. Furthermore, it improves the user experience by recognizing the user's emotions.

[0922] System Overview

[0923] 1. Obtaining public patent information

[0924] The server accesses the public patent database and retrieves the corresponding patent information based on the search keywords entered by the user on the terminal, such as "robot arm" or "new material technology."

[0925] 2. Patent Information Analysis

[0926] The server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the patent information into technology categories and manages them systematically. For example, categories include manufacturing methods and material technologies.

[0927] 3. Creating new technology proposals

[0928] The server uses generative AI to generate new technology proposals based on patent information categorized by technology category. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to the use of new materials, the server generates a proposal for a new battery manufacturing method.

[0929] 4. Publication of new technology proposals

[0930] The new technology proposals generated will be made available to companies both in Japan and overseas via a web platform on a server, making it easier for energy-related companies to become interested in new technologies.

[0931] 5. Emotion recognition and information regulation

[0932] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes input from the device and mouse movements to evaluate the user's interest and emotions. For example, if the user shows "excitement" or "interest," the server is set to display that proposal with priority.

[0933] 6. Contract Mediation

[0934] When a user becomes interested in a new technology proposal and makes an inquiry, the server begins supporting contract negotiations, setting up meetings, drafting contracts, and acting as an intermediary to ensure the smooth process of the contract between the companies.

[0935] Hardware and software used

[0936] Server: Responsible for obtaining public patent information, analyzing and classifying patent information, generating new technology proposals, publishing them on the web platform, running the emotion engine, and supporting contract negotiations.

[0937] Public Patent Database: A source of patent information.

[0938] Artificial intelligence (AI) model: Analyzes patent information, classifies it into technology categories, and generates new technology proposals.

[0939] Emotion engine: Analyzes user emotions and adjusts information display.

[0940] As a specific example, patent information is obtained based on the search keyword "robot arm," which is then analyzed using an AI model and classified into technology categories such as "efficient operation method for robot arms using new materials."The resulting new technology proposal is "Energy-saving robot arm design based on high-precision positioning and the use of new materials."

[0941] Prompt Sentence Examples

[0942] Please explain the process of obtaining, analyzing, and classifying patent information related to "robot arms," ​​and then generating new technology proposals for each technology category.

[0943] This invention makes it possible to provide optimal information tailored to the user's interests and concerns, facilitating contract negotiations and conclusion between companies. Furthermore, by generating and providing new technology plans for factory robots, it is possible to improve the work efficiency of robots.

[0944] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0945] Program processing steps

[0946] Step 1:

[0947] Acquisition of public patent information

[0948] Subject: Server

[0949] Specific operation: The server accesses a public patent database based on search keywords entered by the user into the terminal.

[0950] Input: Search keywords entered by the user into the device (e.g., "robot arm")

[0951] Data processing and calculation: Generate database search queries using keywords and obtain patent information through API.

[0952] Output: Retrieved patent information (e.g. patent number, title, abstract)

[0953] Step 2:

[0954] Patent information analysis

[0955] Subject: Server

[0956] Specific operation: The server runs the AI ​​model to analyze the acquired patent information and classify it by technology category.

[0957] Input: Obtained patent information (patent number, title, abstract)

[0958] Data processing and calculation: Classify data into technical categories using text analysis and machine learning algorithms using AI models.

[0959] Output: Classified patent information (e.g. manufacturing methods, material technologies)

[0960] Step 3:

[0961] Generate new technology proposals

[0962] Subject: Server

[0963] Specific operation: The server uses generation AI to generate new technology proposals based on the classified patent information.

[0964] Input: Classified patent information (e.g., manufacturing methods, material technology)

[0965] Data processing and calculation: Using a generative AI model, multiple patent information is combined to generate specific proposals for new technologies.

[0966] Output: New technology proposal (e.g., efficient robot arm design using new materials)

[0967] Step 4:

[0968] Publication of new technology proposals

[0969] Subject: Server

[0970] Specific operation: The server publishes the generated new technology proposals via a web platform.

[0971] Input: New technology proposal (e.g., efficient robot arm design using new materials)

[0972] Data processing and calculation: Convert the proposal into an appropriate format and upload it to the web platform.

[0973] Output: New technology proposal published on the web platform

[0974] Step 5:

[0975] emotion recognition

[0976] Subject: Server

[0977] Specific operation: The server uses an emotion engine to recognize the user's emotion.

[0978] Input: User browsing data (e.g., browsing time, click frequency, mouse movements)

[0979] Data processing and calculation: The emotion engine analyzes strings and behavioral patterns to determine the user's emotions.

[0980] Output: Recognized emotion data (e.g., excitement, interest)

[0981] Step 6:

[0982] Dynamic adjustment of information

[0983] Subject: Server

[0984] Specific operation: The server dynamically adjusts the information display based on the recognized emotion data.

[0985] Input: Recognized emotion data (e.g., excitement, interest)

[0986] Data processing and calculation: Using a filtering algorithm, the order of display is changed to prioritize the most interesting proposals.

[0987] Output: Adjusted information display (e.g., new technology proposals that are of high interest to the user are displayed at the top)

[0988] Step 7:

[0989] Contract brokerage

[0990] Subject: Server

[0991] Specific operation: The server starts supporting contract negotiations in response to inquiries from users who are interested in the new technology proposal.

[0992] Input: User inquiry information (e.g., inquiry content, contact information)

[0993] Data processing and calculation: Analyze the inquiry content to set up appropriate meetings and draft contracts.

[0994] Output: Supported contract negotiation process (e.g., business meeting arrangements, draft contract)

[0995] Through the above steps, this invention effectively utilizes public patent information to smoothly generate new technology proposals and conclude contracts between companies.

[0996] 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.

[0997] 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.

[0998] 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.

[0999] [Fourth embodiment]

[1000] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1001] 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.

[1002] 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).

[1003] 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.

[1004] 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.

[1005] 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).

[1006] 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.

[1007] 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.

[1008] 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.

[1009] 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.

[1010] 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.

[1011] 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.

[1012] 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."

[1013] This invention is a system that acquires published patent information, analyzes it, classifies it into technology categories, and then uses the classified patent information to create and publish new technology proposals and mediate contracts between companies. The system of the present invention is specifically implemented as follows.

[1014] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[1015] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[1016] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[1017] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[1018] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[1019] As a concrete example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company is interested in the proposal and a contract is concluded, the possibility of the patented technology being put into practical use increases.

[1020] The above is a specific implementation of this system. By linking the server and users, the effective use of patent information and the creation of new technologies can be realized.

[1021] The processing flow will be explained below.

[1022] Step 1:

[1023] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[1024] Step 2:

[1025] The server accesses a public patent database and retrieves patent information based on the search keywords entered by the user.

[1026] Step 3:

[1027] The server stores the acquired patent information in an internal database.

[1028] Step 4:

[1029] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[1030] Step 5:

[1031] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[1032] Step 6:

[1033] The server stores the classified patent information in an internal database.

[1034] Step 7:

[1035] The server runs the generation AI and generates new technology proposals based on the classified patent information.

[1036] Step 8:

[1037] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[1038] Step 9:

[1039] The server uploads new technology proposals to a web platform and makes the information public.

[1040] Step 10:

[1041] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[1042] Step 11:

[1043] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[1044] Step 12:

[1045] The server will begin supporting contract negotiations by setting up meetings, drafting contracts, and mediating negotiations.

[1046] Step 13:

[1047] The server records the information when a contract is concluded and runs a system for tracking and reporting IP revenue.

[1048] As described above, each step works together to realize the effective use of patent information and the creation of new technologies.

[1049] Example 1

[1050] 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."

[1051] There is a need to efficiently acquire public patent information, classify and analyze it by technology category, systematically manage large amounts of patent information, and quickly generate and publish new technology proposals. However, with current technology, the analysis and classification of large amounts of patent information is often done manually, which is time-consuming and labor-intensive. In addition, the process of effectively disclosing the generated new technology proposals to companies and leading to contracts is cumbersome, so an efficient system is needed.

[1052] 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.

[1053] In this invention, the server includes means for acquiring published patent information, means for extracting the acquired published patent information from a database based on specified keywords, means for analyzing the acquired published patent information and classifying it by technology category, means for classifying and managing the analyzed patent information by technology category, means for generating new technology plan proposals using AI using the classified patent information, means for publishing the generated new technology plan proposals through a web platform, and means for mediating contracts between companies based on the published new technology plan proposals.This enables efficient analysis and classification of patent information, rapid generation of new technology plan proposals, and efficient inter-company contracts.

[1054] "Published patent information" refers to information about patents that can be obtained from publicly available patent documents or patent databases.

[1055] "Means of acquisition" refers to the techniques or methods used to retrieve specified data from a particular database or source.

[1056] "Means of analysis" refers to methods and techniques for analyzing acquired data and organizing it into useful information.

[1057] A "technology category" is a category of a specific technology area or field for dividing patent information.

[1058] A "classification means" is a technique or method for dividing acquired or analyzed information into specific categories.

[1059] "Generative AI" refers to models and technologies that use artificial intelligence to generate new content and ideas.

[1060] "Generating means" are techniques and methods for creating new data or information for specific purposes or needs.

[1061] "Web Platform" means a web-based environment or service for publishing and sharing information over the Internet.

[1062] "Contract intermediation" refers to technologies and services that support contract negotiations and agreements between different companies.

[1063] This invention is a system in which a server, a terminal, and a user cooperate with each other to acquire and analyze published patent information, generate technical proposals, and mediate contracts. A specific embodiment of this system is described below.

[1064] First, a user opens a dedicated web application on their device. They enter keywords such as "energy storage" or "battery technology" into the search bar. Next, the server accesses a public patent database via the Internet based on this input. In this case, a commonly known patent information database (e.g., Google Patents or the USPTO database) is used as the database. The server sends an API request to the database to extract patent information corresponding to the specified search keywords and saves the retrieved patent information in local data storage (e.g., Amazon S3).

[1065] Next, the server runs a natural language processing model (NLP model) to analyze the patent information. This NLP model is built using Python's TensorFlow and PyTorch libraries. The server uses the NLP model to classify the patent information acquired by the NLP model into technology categories (e.g., manufacturing methods, material technologies, etc.). This allows the server to systematically manage large amounts of patent information.

[1066] Next, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate a new technology proposal. Based on the analyzed and classified patent information, the GPT-4 model creates a new technology proposal. The generated technology proposal includes specific technical content and proposals for utilization.

[1067] The generated new technology proposals are made available to domestic and international companies via a web platform (such as AWS or Microsoft Azure) from a server. Companies can view the technology proposals through this web platform and find out more about the technologies that interest them.

[1068] If a user is interested in a new technology proposal, the server provides functions to support contract negotiations, such as setting up online meetings and drafting contracts (for example, using electronic signature services such as DocuSign). Through these functions, the server helps to smoothly advance contract negotiations between companies.

[1069] As an example of how this works, when a user types "energy storage" into the search bar, the server requests and retrieves the corresponding patent information from the Google Patents API. The retrieved information is then input into an NLP model and classified into technology categories. Next, a new technology proposal is generated by the GPT-4 model, and its contents are published on a web platform. Meanwhile, if a company is interested in this proposal, the server automatically schedules a meeting and provides a series of contract support services, such as sending an electronic contract.

[1070] Example prompt sentence:

[1071] Please classify patent information related to "energy storage" into the following technology categories:

[1072] 1. Manufacturing method

[1073] 2. Materials technology

[1074] 3. How to use

[1075] Then, combine the patent information from each category to generate new technology proposals.

[1076] The above is an embodiment of the present invention. Close cooperation between the server and the user enables efficient acquisition, analysis, and management of patent information, as well as the creation and utilization of new technologies.

[1077] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1078] Step 1:

[1079] The user enters search keywords using the terminal.

[1080] The user opens a dedicated web application on their device and enters a specific keyword (e.g., "energy storage" or "battery technology") into the search bar, which is then sent to the server.

[1081] (Input: Search keyword, Output: Send search keyword)

[1082] Step 2:

[1083] The server accesses a public patent database and obtains patent information.

[1084] The server accesses public patent databases (e.g., Google Patents or the USPTO database) via the Internet and sends API requests to extract patent information based on search keywords. This patent information is then stored in local data storage (e.g., Amazon S3) on the server.

[1085] (Input: Search keyword, Output: Obtain patent information)

[1086] Step 3:

[1087] The server analyzes the patent information it acquires and classifies it into technology categories.

[1088] The server runs a natural language processing (NLP) model built using Python's TensorFlow and PyTorch. Patent information is input into the NLP model, which classifies it by technology category (e.g., manufacturing method, material technology, etc.). The classification results are stored on the server.

[1089] (Input: patent information, Output: classified patent information)

[1090] Step 4:

[1091] The server generates new technology proposals based on patent information classified by technology category.

[1092] The server uses a generative AI model such as OpenAI's GPT-4 to generate new technology proposals based on the analyzed and classified patent information. This generation process combines different technical information to output new and unique technology proposals.

[1093] (Input: Classified patent information, Output: New technology proposal)

[1094] Step 5:

[1095] The server publishes the generated new technology proposals on a web platform via the Internet.

[1096] The server uploads the data of new technology proposals to a web server and makes them available for viewing on a dedicated web platform, allowing domestic and international companies to access and check the new technology proposals.

[1097] (Input: New technology proposal, Output: Published proposal)

[1098] Step 6:

[1099] We provide support in contract negotiations when users are interested in new technology proposals.

[1100] When a company expresses interest in a new technology proposal and makes an inquiry, the server schedules an online meeting and drafts a contract, using an electronic signature service such as DocuSign, and assists in the contract negotiation process.

[1101] (Input: Inquiry from company, Output: Scheduled meeting and contract draft)

[1102] These are the specific processing steps of the program for this system. At each step, it is made clear how specific input data is processed or calculated, and what output is obtained as a result.

[1103] (Application example 1)

[1104] 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."

[1105] In conventional systems that acquire and analyze public patent information, classify it into technology categories, and generate new technology proposals, the use of the analysis results is limited, and there are problems with not being able to support the implementation of new technologies or improve processes, particularly those related to industrial automation.In addition, there are few examples of new technology proposals being applied to specific industrial automation equipment, making it difficult to mediate practical contracts between companies.

[1106] 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.

[1107] In this invention, the server includes means for acquiring published patent information, means for analyzing the acquired published patent information and classifying it by technology category, means for generating a new technology plan using the classified patent information, means for installing the generated new technology plan in an industrial automation device to provide process improvement or support for the implementation of new technology, means for publishing the generated new technology plan, and means for mediating contracts between companies based on the published new technology plan. This makes it possible to apply the results of the patent information analysis to specific industrial automation devices and actually provide support for process improvement or the implementation of new technology.

[1108] "Published patent information" refers to technical information on patents that is publicly available and is obtained from patent databases and published literature.

[1109] "Means for analyzing patent information and classifying it by technology category" refers to collecting publicly available patent information and organizing its contents by technology field using classification algorithms or artificial intelligence.

[1110] A "new technology proposal" is a proposal that describes the concept of a new technology or product based on collected and classified patent information.

[1111] "Industrial automation equipment" refers to equipment that includes hardware and software for achieving automation in factories and production lines.

[1112] "Process improvement" refers to proposing methods and means to improve the efficiency and quality of existing manufacturing processes and business processes.

[1113] "Support for the implementation of new technologies" means providing the necessary support and implementation procedures so that newly proposed technologies and methods can be applied in the field.

[1114] A "web platform" is an online infrastructure for providing and sharing information via the Internet.

[1115] "Means of mediating contracts between companies" refers to means of supporting negotiations, coordination, document preparation, etc. when two or more companies enter into a contract based on a new technology proposal.

[1116] This invention is a system that acquires and analyzes published patent information, classifies it by technology category, generates and publishes new technology proposals, and brokers contracts between companies based on those proposals. This system can be applied to industrial automation equipment in particular to support process improvements and the implementation of new technologies.

[1117] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "automation" or "sensor technology" are entered, the server extracts corresponding patent information from the database.

[1118] The server then analyzes the acquired patent information using an artificial intelligence (AI) model. The AI ​​model classifies the patent information by technology category, organizing it into categories such as manufacturing methods, material technologies, and automation technologies. This allows for the systematic management of large amounts of patent information.

[1119] Next, the server uses generative AI to combine patent information categorized by technology category to generate new technology proposals. For example, by combining specific automation technology and sensor technology, it generates a proposal for a new factory line automation system. This proposal includes specific technical content and proposals for utilization.

[1120] The generated new technology proposals are made public via a web platform from the server. This disclosure of information increases the likelihood that companies interested in industrial automation will be interested in the new technology. For example, if a company interested in a specific industrial technology finds this new technology proposal and is interested, they can make an inquiry directly.

[1121] If a user (company) shows interest in a new technology proposal, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property income and secure new research and development funds.

[1122] Specific examples

[1123] For example, to obtain and analyze patent information related to automation, patent information is collected from public patent databases using the keyword "automation." The collected patent information is then analyzed using an AI model, classified by technology category, and a technical proposal for a new factory line automation system is generated. This includes specific manufacturing process improvements and methods for introducing new technologies using patent information.

[1124] Prompt Sentence Examples

[1125] Generate new technology proposals: robotic automation technology, quality control using sensors, improving production efficiency through the introduction of AI, etc.

[1126] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1127] Step 1:

[1128] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. The input data is the search keywords, and the output data is a list of patent information.

[1129] Specific behavior:

[1130] The user enters a keyword such as "automation" into the terminal, and the server uses the keyword to retrieve related patent information from a public patent database.

[1131] Step 2:

[1132] The server analyzes the acquired patent information and classifies it by technology category. The input data is a list of acquired patent information, and the output data is patent information classified by technology category.

[1133] Specific behavior:

[1134] The server uses AI models to analyze patent information and classify it into technology categories such as automation technology, sensor technology, and manufacturing methods.

[1135] Step 3:

[1136] The server uses the classified patent information to generate a new technology plan. The input data is patent information classified by technology category, and the output data is a new technology plan.

[1137] Specific behavior:

[1138] The server uses the generative AI model to generate proposals for new factory line automation systems that combine automation and sensor technologies. An example of a prompt is "Generate new technology proposals: robot automation technology, quality control using sensors, improving production efficiency by introducing AI, etc."

[1139] Step 4:

[1140] The server publishes the generated new technology proposal via a web platform. The input data is the generated new technology proposal, and the output data is the published new technology proposal.

[1141] Specific behavior:

[1142] The server converts the generated new technology proposal into a web page in HTML format and makes it available on the Internet.

[1143] Step 5:

[1144] When a user (company) views a published new technology proposal and shows interest, the server starts supporting contract negotiations. The input data is the user's inquiry information, and the output data is the support results for contract negotiations.

[1145] Specific behavior:

[1146] When a user expresses interest in a new technology proposal on the web platform, they submit an inquiry, and the server receives the inquiry and provides support such as setting up a meeting and drafting a contract.

[1147] 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.

[1148] This invention is a system that acquires published patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies.The invention also improves the user experience by combining it with an emotion engine that recognizes user emotions.The system of the present invention is specifically implemented as follows.

[1149] First, the server accesses a public patent database and retrieves patent information based on search keywords entered by the user on the terminal. For example, when keywords such as "energy storage" or "battery technology" are entered, the server extracts corresponding patent information from the database.

[1150] Next, the server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the acquired patent information by technology category, for example, organizing it into categories such as manufacturing methods and material technologies. This allows for the systematic management of large amounts of patent information.

[1151] Next, the server uses AI to combine patent information categorized by technology category to generate a new technology proposal. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to new material usage methods, a proposal for a new battery manufacturing method is generated. This proposal includes specific technical content and proposals for utilization.

[1152] The generated new technology proposals are made available to domestic and international companies via a web platform on a server. This information disclosure increases the likelihood that energy-related companies will be interested in the new technology. For example, if a company interested in energy storage comes across this battery manufacturing method proposal and is interested, they can contact us directly.

[1153] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's reactions and evaluates their level of interest in the new technology proposal. For example, if the user's emotions are judged to be "excitement" or "interest" based on the input content from the device, viewing time, mouse movements, etc., the server acquires that information.

[1154] Based on the emotional data collected using the emotion engine, the server adjusts the display order and content of new technology proposals. For example, it is set to prioritize the display of proposals that the user expressed excitement or interest in. In this way, the server provides optimal information according to the user's emotions.

[1155] Finally, if a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn intellectual property revenue and secure new research and development funds.

[1156] Here is a concrete example:

[1157] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is first obtained, and then that patent information is analyzed and classified using AI. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal, and the emotion engine detects excitement or interest, information will be provided to that company in a targeted manner. If a contract is ultimately concluded, the patented technology will be more likely to be put into practical use.

[1158] The above is a concrete example of this system. The server, terminals, and users work together to effectively utilize patent information and create new technologies.

[1159] The processing flow will be explained below.

[1160] Step 1:

[1161] The user enters patent search keywords into the terminal, such as "energy storage" or "battery technology."

[1162] Step 2:

[1163] The server accesses a public patent database and retrieves patent information based on search keywords entered by the user.

[1164] Step 3:

[1165] The server stores the acquired patent information in an internal database.

[1166] Step 4:

[1167] The server runs the AI ​​model and analyzes the acquired patent information, using natural language processing technology.

[1168] Step 5:

[1169] The server classifies the analyzed patent information into technology categories, such as "manufacturing methods" and "material technologies."

[1170] Step 6:

[1171] The server stores the classified patent information in an internal database.

[1172] Step 7:

[1173] The server uses generation AI to generate new technology proposals based on the classified patent information.

[1174] Step 8:

[1175] The server creates a new technology proposal and adds detailed information, including specific technical content and utilization proposals.

[1176] Step 9:

[1177] The server uploads new technology proposals to a web platform and makes the information public.

[1178] Step 10:

[1179] The server sends emails and alerts to target companies to notify them of the existence of new technology proposals.

[1180] Step 11:

[1181] When a user (company) accesses a published proposal from a terminal and shows interest, the server receives the response (inquiry or expression of interest).

[1182] Step 12:

[1183] The server uses an emotion engine to recognize the user's emotions. For example, it uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice.

[1184] Step 13:

[1185] The server uses an emotion engine to analyze the user's emotion data and evaluate their interest in the new technology proposal. This evaluation identifies the user's emotions, such as "excitement" or "interest."

[1186] Step 14:

[1187] The server adjusts the display order and content of new technology proposals based on the collected emotional data. For example, it prioritizes the display of proposals that the user expressed excitement or interest in.

[1188] Step 15:

[1189] When a user (company) becomes interested in a new technology proposal through the emotion engine and makes an inquiry, the server receives the response and begins supporting contract negotiations.

[1190] Step 16:

[1191] The server supports contract negotiations by arranging meetings, drafting contracts, and mediating negotiations.

[1192] Step 17:

[1193] The server will record the information if a deal is ultimately concluded and run a system for tracking and reporting IP revenue.

[1194] In this way, the system of the present invention effectively utilizes patent information and efficiently advances the process from the creation of new technology proposals to their market launch. The introduction of an emotion engine will improve the user experience and promote the practical application of patented technologies.

[1195] Example 2

[1196] 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."

[1197] In the process of generating new technology proposals from public patent information and linking them to contracts between companies using conventional technology, there were issues with the accuracy of analyzing and classifying patent information, the quality of the generated proposals, and the efficiency of concluding contracts between companies.In addition, information provided did not reflect the user's feelings, and the user experience was not improved.

[1198] 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 a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating a contract between companies based on the published new technology plan, a means for recognizing a user's emotion, and a means for optimizing the display of the technology plan based on the recognized user's emotion information. This enhances the analysis and classification of published patent information, improves the quality of the generated plan, and enhances the user experience, thereby enabling efficient contract formation between companies.

[1199] "Published patent information" means information about a patent that is available from publicly accessible patent databases.

[1200] "Technology category" refers to a category that is classified based on a specific technical field or technical characteristics.

[1201] A "new technology proposal" is a proposal for a new technology created based on existing patent information.

[1202] The "Web platform" is a fundamental system for providing services over the Internet.

[1203] "Artificial intelligence" is a technology that allows computers to learn and reason by imitating human intelligence.

[1204] A "generative AI model" is an algorithm or computer program that generates new outputs based on specific inputs.

[1205] "User emotion" refers to the psychological reaction a user has to a particular piece of information or situation.

[1206] An "emotion engine" is a system that recognizes a user's emotional state by analyzing a series of actions and input data.

[1207] A "contract mediation device" is a system that helps ensure that a contract between two or more companies is concluded smoothly.

[1208] An "optimization measure" is a mechanism for adjusting or improving something to achieve the most effective results for a particular purpose.

[1209] This invention is a system that acquires public patent information, analyzes it, classifies it by technology category, and then uses the classified patent information to generate and publish new technology proposals and mediate contracts between companies. Furthermore, by combining it with an emotion engine that recognizes user emotions, it improves the user experience.

[1210] First, a user inputs specific search keywords into the terminal. For example, keywords such as "energy storage" or "battery technology" may be input. Next, the server accesses a public patent database (e.g., "public patent database" or "patent information platform") to retrieve patent information based on the input keywords. The server then extracts the corresponding patent information from the database and temporarily stores it.

[1211] The server then uses an AI model (such as BERT or GPT-4) to classify the acquired patent information into technology categories, such as "manufacturing methods" and "material technologies." This allows for the systematic management of large amounts of patent information.

[1212] The server then uses a generative AI model (such as GPT-4) to generate a new technology proposal based on the patent information categorized by technology category. Specifically, it combines "patents related to manufacturing methods for lithium-ion batteries" with "patents related to methods for using new materials" to generate a proposal for a new battery manufacturing method. This proposal includes specific technical details and proposals for utilization.

[1213] The generated new technology proposals are made available to domestic and international companies via a web platform (such as a cloud service) from a server, allowing companies interested in a particular technology to easily view information about the new technology.

[1214] Next, if a user (company) shows interest in a new technology proposal, the server uses an emotion engine (for example, an "emotion recognition system") to recognize the user's emotions. Specifically, the server analyzes emotions based on the user's input, viewing time, mouse movements, etc. This information is sent to the server, and if the user's emotions are determined to be "excitement" or "interest," the server uses this data to adjust the display order and content of the technology proposals. For example, it is set up so that technology proposals that the user is particularly interested in are displayed first.

[1215] Finally, if a user (company) becomes more interested in the new technology proposal through the emotion engine and makes an inquiry, the server will begin supporting contract negotiations. Specifically, it will set up meetings, draft contracts, and mediate negotiations. This will ensure smooth contract negotiations between companies, allowing patent providers to earn revenue from their intellectual property.

[1216] For example, in the process of generating and publishing a proposal for a new energy-related technology, patent information related to "energy storage" is acquired and analyzed and classified using an AI model. After that, a new battery manufacturing method using new materials is proposed and published on a web platform. If an energy-related company shows interest in the proposal and the emotion engine detects "excitement" or "interest," information will be provided to that company in a targeted manner. If a contract is ultimately concluded between the companies, the likelihood of the patented technology being put into practical use increases.

[1217] Prompt Sentence Examples

[1218] Obtain the latest patent information on "energy storage" or "battery technology," analyze it in detail, and generate new technology proposals.

[1219] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1220] Step 1:

[1221] The user inputs a search keyword into the terminal.

[1222] Users enter keywords related to a specific technology field, such as "energy storage" or "battery technology," into their device, and the search keywords are sent to the server.

[1223] Input: Search keyword (e.g., energy storage)

[1224] Output: Keywords sent to the server

[1225] Step 2:

[1226] The server accesses a public patent database and obtains patent information.

[1227] The server accesses public patent databases based on the search keywords submitted by the user. For example, the server extracts relevant patent information from "public patent databases" or "patent information platforms" and temporarily stores it.

[1228] Input: Search keywords sent to the server

[1229] Output: Retrieved patent information

[1230] Step 3:

[1231] The server analyzes the patent information it acquires and classifies it into technology categories.

[1232] The server analyzes the acquired patent information using an AI model (such as "BERT" or "GPT-4"). As a result of the analysis, the patent information is classified into technology categories such as "manufacturing method" and "material technology."

[1233] (Application example 2)

[1234] 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."

[1235] Previously, generating new technology proposals and brokering contracts between companies using public patent information was time-consuming and inefficient. Furthermore, information was provided to users uniformly, and optimal information that reflected individual interests was not provided. As a result, new technology proposals were not fully utilized, and opportunities for technological development and contract signing were lost. Furthermore, specific technical proposals for improving the work efficiency of factory robots were also insufficient.

[1236] 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.

[1237] In this invention, the server includes a means for acquiring published patent information, a means for analyzing the acquired published patent information and classifying it by technology category, a means for generating a new technology plan using the classified patent information, a means for publishing the generated new technology plan, a means for mediating contracts between companies based on the published new technology plan, a means for identifying a user's emotion, and a means for dynamically adjusting information based on the identified emotion. This enables optimal information provision based on the user's interests and facilitates contract negotiations and conclusions between companies. Furthermore, generating and providing new technology plan proposals for factory robots can improve the robot's work efficiency.

[1238] "Published patent information" refers to information about patents that is publicly available and is included in databases that include patent technologies and related literature.

[1239] "Analysis" is the act of receiving patent information in the form of data, breaking down that data, and classifying and organizing it to make it easier to understand.

[1240] "Technology category" refers to a category for classifying acquired patent information into specific technical fields.

[1241] A "new technology proposal" is a newly devised technical proposal or plan based on existing technology or patent information.

[1242] "Making public" refers to the act of disseminating information about new technology proposals to the general public and making them available for viewing.

[1243] "Mediating contracts between companies" refers to the act of supporting contract negotiations between different companies and facilitating the conclusion of contracts based on the disclosure of new technology plan proposals.

[1244] "Emotion identification" means determining the emotion or interest level of a user from the user's input data and behavior.

[1245] "Dynamic adjustment of information" refers to the act of changing the content and order of displayed information in real time based on the results of user emotion recognition.

[1246] MODE FOR CARRYING OUT THE INVENTION

[1247] This invention is a system that utilizes public patent information, generates new technology proposals from information categorized by technology, and mediates contracts between companies. Furthermore, it improves the user experience by recognizing the user's emotions.

[1248] System Overview

[1249] 1. Obtaining public patent information

[1250] The server accesses the public patent database and retrieves the corresponding patent information based on the search keywords entered by the user on the terminal, such as "robot arm" or "new material technology."

[1251] 2. Patent Information Analysis

[1252] The server runs an artificial intelligence (AI) model to analyze the acquired patent information. The AI ​​model classifies the patent information into technology categories and manages them systematically. For example, categories include manufacturing methods and material technologies.

[1253] 3. Creating new technology proposals

[1254] The server uses generative AI to generate new technology proposals based on patent information categorized by technology category. For example, by combining patents related to lithium-ion battery manufacturing methods with patents related to the use of new materials, the server generates a proposal for a new battery manufacturing method.

[1255] 4. Publication of new technology proposals

[1256] The new technology proposals generated will be made available to companies both in Japan and overseas via a web platform on a server, making it easier for energy-related companies to become interested in new technologies.

[1257] 5. Emotion recognition and information regulation

[1258] When a user (company) shows interest in a new technology proposal, the server uses an emotion engine to recognize the user's emotions. The emotion engine analyzes input from the device and mouse movements to evaluate the user's interest and emotions. For example, if the user shows "excitement" or "interest," the server is set to display that proposal with priority.

[1259] 6. Contract Mediation

[1260] When a user becomes interested in a new technology proposal and makes an inquiry, the server begins supporting contract negotiations, setting up meetings, drafting contracts, and acting as an intermediary to ensure the smooth process of the contract between the companies.

[1261] Hardware and software used

[1262] Server: Responsible for obtaining public patent information, analyzing and classifying patent information, generating new technology proposals, publishing them on the web platform, running the emotion engine, and supporting contract negotiations.

[1263] Public Patent Database: A source of patent information.

[1264] Artificial intelligence (AI) model: Analyzes patent information, classifies it into technology categories, and generates new technology proposals.

[1265] Emotion engine: Analyzes user emotions and adjusts information display.

[1266] As a specific example, patent information is obtained based on the search keyword "robot arm," which is then analyzed using an AI model and classified into technology categories such as "efficient operation method for robot arms using new materials."The resulting new technology proposal is "Energy-saving robot arm design based on high-precision positioning and the use of new materials."

[1267] Prompt Sentence Examples

[1268] Please explain the process of obtaining, analyzing, and classifying patent information related to "robot arms," ​​and then generating new technology proposals for each technology category.

[1269] This invention makes it possible to provide optimal information tailored to the user's interests and concerns, facilitating contract negotiations and conclusion between companies. Furthermore, by generating and providing new technology plans for factory robots, it is possible to improve the work efficiency of robots.

[1270] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1271] Program processing steps

[1272] Step 1:

[1273] Acquisition of public patent information

[1274] Subject: Server

[1275] Specific operation: The server accesses a public patent database based on search keywords entered by the user into the terminal.

[1276] Input: Search keywords entered by the user into the device (e.g., "robot arm")

[1277] Data processing and calculation: Generate database search queries using keywords and obtain patent information through API.

[1278] Output: Retrieved patent information (e.g. patent number, title, abstract)

[1279] Step 2:

[1280] Patent information analysis

[1281] Subject: Server

[1282] Specific operation: The server runs the AI ​​model to analyze the acquired patent information and classify it by technology category.

[1283] Input: Obtained patent information (patent number, title, abstract)

[1284] Data processing and calculation: Classify data into technical categories using text analysis and machine learning algorithms using AI models.

[1285] Output: Classified patent information (e.g. manufacturing methods, material technologies)

[1286] Step 3:

[1287] Generate new technology proposals

[1288] Subject: Server

[1289] Specific operation: The server uses generation AI to generate new technology proposals based on the classified patent information.

[1290] Input: Classified patent information (e.g., manufacturing methods, material technology)

[1291] Data processing and calculation: Using a generative AI model, multiple patent information is combined to generate specific proposals for new technologies.

[1292] Output: New technology proposal (e.g., efficient robot arm design using new materials)

[1293] Step 4:

[1294] Publication of new technology proposals

[1295] Subject: Server

[1296] Specific operation: The server publishes the generated new technology proposals via a web platform.

[1297] Input: New technology proposal (e.g., efficient robot arm design using new materials)

[1298] Data processing and calculation: Convert the proposal into an appropriate format and upload it to the web platform.

[1299] Output: New technology proposal published on the web platform

[1300] Step 5:

[1301] emotion recognition

[1302] Subject: Server

[1303] Specific operation: The server uses an emotion engine to recognize the user's emotion.

[1304] Input: User browsing data (e.g., browsing time, click frequency, mouse movements)

[1305] Data processing and calculation: The emotion engine analyzes strings and behavioral patterns to determine the user's emotions.

[1306] Output: Recognized emotion data (e.g., excitement, interest)

[1307] Step 6:

[1308] Dynamic adjustment of information

[1309] Subject: Server

[1310] Specific operation: The server dynamically adjusts the information display based on the recognized emotion data.

[1311] Input: Recognized emotion data (e.g., excitement, interest)

[1312] Data processing and calculation: Using a filtering algorithm, the order of display is changed to prioritize the most interesting proposals.

[1313] Output: Adjusted information display (e.g., new technology proposals that are of high interest to the user are displayed at the top)

[1314] Step 7:

[1315] Contract brokerage

[1316] Subject: Server

[1317] Specific operation: The server starts supporting contract negotiations in response to inquiries from users who are interested in the new technology proposal.

[1318] Input: User inquiry information (e.g., inquiry content, contact information)

[1319] Data processing and calculation: Analyze the inquiry content to set up appropriate meetings and draft contracts.

[1320] Output: Supported contract negotiation process (e.g., business meeting arrangements, draft contract)

[1321] Through the above steps, this invention effectively utilizes public patent information to smoothly generate new technology proposals and conclude contracts between companies.

[1322] 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.

[1323] 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.

[1324] 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.

[1325] 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.

[1326] 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.

[1327] 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.

[1328] 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).

[1329] 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.

[1330] 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."

[1331] 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.

[1332] 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).

[1333] 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.

[1334] 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.

[1335] 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.

[1336] 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.

[1337] 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.

[1338] 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.

[1339] 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.

[1340] 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.

[1341] 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.

[1342] 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.

[1343] The following is further disclosed regarding the above embodiment.

[1344] (Claim 1)

[1345] A means for obtaining published patent information;

[1346] A means for analyzing the obtained public patent information and classifying it by technology category;

[1347] A means for generating a new technology plan using the classified patent information;

[1348] A means for publishing the generated new technology plan;

[1349] A means of mediating contracts between companies based on publicly disclosed new technology proposals;

[1350] A system including:

[1351] (Claim 2)

[1352] 10. The system of claim 1, comprising means for using artificial intelligence in analyzing published patent information.

[1353] (Claim 3)

[1354] The system of claim 1, further comprising means for using a web platform when publishing the generated new technology plan.

[1355] "Example 1"

[1356] (Claim 1)

[1357] A means for obtaining published patent information;

[1358] A means for extracting the obtained published patent information from a database based on a specified keyword;

[1359] A means for analyzing the obtained public patent information and classifying it by technology category;

[1360] A means for classifying and managing the analyzed patent information by technology category;

[1361] A means for generating new technology proposals using AI based on the classified patent information;

[1362] A means to publish the generated new technology proposals through a web platform,

[1363] A means of mediating contracts between companies based on publicly disclosed new technology proposals;

[1364] A system including:

[1365] (Claim 2)

[1366] The system of claim 1, further comprising means for generating new technology proposals using a generative AI model after analyzing published patent information.

[1367] (Claim 3)

[1368] The system according to claim 1, further comprising means for publishing the generated new technology plan using a web platform via the Internet.

[1369] "Application Example 1"

[1370] (Claim 1)

[1371] A means for obtaining published patent information;

[1372] A means for analyzing the obtained public patent information and classifying it by technology category;

[1373] A means for generating a new technology plan using the classified patent information;

[1374] A means for installing the generated new technology plan in an industrial automation device to improve the process or support the implementation of the new technology;

[1375] A means for publishing the generated new technology plan;

[1376] A means of mediating contracts between companies based on publicly disclosed new technology proposals;

[1377] A system including:

[1378] (Claim 2)

[1379] 10. The system of claim 1, comprising means for using artificial intelligence in analyzing published patent information.

[1380] (Claim 3)

[1381] The system of claim 1, further comprising means for using a web platform when publishing the generated new technology plan.

[1382] "Example 2: Combining Emotion Engines"

[1383] (Claim 1)

[1384] A means for obtaining published patent information;

[1385] A means for analyzing the obtained public patent information and classifying it by technology category;

[1386] A means for generating a new technology plan using the classified patent information;

[1387] A means for publishing the generated new technology plan;

[1388] A means of mediating contracts between companies based on publicly disclosed new technology proposals;

[1389] means for recognizing a user's emotion;

[1390] means for optimizing the display of the technical proposal based on the recognized user emotion information;

[1391] A system including:

[1392] (Claim 2)

[1393] a means for using artificial intelligence in analyzing published patent information;

[1394] A means for using the generative AI model when generating the new technology proposal;

[1395] 10. The system of claim 1.

[1396] (Claim 3)

[1397] Provide a means for using the web platform to publish the generated new technology proposals;

[1398] 10. The system of claim 1.

[1399] "Application example 2 when combining emotion engines"

[1400] (Claim 1)

[1401] A means for obtaining published patent information;

[1402] A means for analyzing the obtained public patent information and classifying it by technology category;

[1403] A means for generating a new technology plan using the classified patent information;

[1404] A means for publishing the generated new technology plan;

[1405] A means of mediating contracts between companies based on publicly disclosed new technology proposals;

[1406] means for identifying a user's emotion;

[1407] means for dynamically adjusting the information based on the identified emotion;

[1408] A system including:

[1409] (Claim 2)

[1410] 10. The system of claim 1, comprising means for using artificial intelligence in analyzing published patent information.

[1411] (Claim 3)

[1412] The system of claim 1, further comprising means for using a web platform when publishing the generated new technology plan. [Explanation of symbols]

[1413] 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 for obtaining published patent information; A means for analyzing the obtained public patent information and classifying it by technology category; A means for generating a new technology plan using the classified patent information; A means for publishing the generated new technology plan; A means of mediating contracts between companies based on publicly disclosed new technology proposals; A system including:

2. 10. The system of claim 1, further comprising means for using artificial intelligence in analyzing published patent information.

3. The system according to claim 1, further comprising means for using a web platform when publishing the generated new technology plan.

Images