Information processing device, information processing method, and program

Abstract

The present invention enables greenhouse gas credits to be efficiently and easily handled.　An applicant registration authentication unit 51 provides an applicant terminal 2 with a UI for an applicant A to input and apply, as data, an application document including at least a documented project plan regarding a GHG emission reduction project for which the applicant A desires to be credited, and receives and registers the data of the application document applied through the UI. A GHG emission reduction amount calculation tool unit 52, on the basis of the data of the application document, calculates a GHG emission amount for the GHG emission reduction project in accordance with a methodology managed and operated by a methodology module unit 53, and presents the result of calculation to the applicant terminal 2. An examination system / DB unit 54 provides an examiner terminal 3 with a UI for assisting in conducting examination according to an examination process for the GHG emission reduction project using the methodology managed and operated by the methodology module unit 53.

Description

Information processing device, information processing method, and program

[0001] The present invention relates to an information processing device, an information processing method, and a program.

[0002] Conventionally, there exists technology relating to a greenhouse gas credit trading system (see, for example, Patent Document 1).

[0003] JP 2010-61685 A

[0004] However, there is a demand for the realization of technology that can handle greenhouse gas credits efficiently and easily, but conventional technologies, including the technology of Patent Document 1, are unable to fully meet this demand.

[0005] The present invention has been made in view of the above circumstances, and aims to enable efficient and simple handling of greenhouse gas credits.

[0006] In order to achieve the above object, one aspect of the present invention provides an information processing device that executes processing to support a series of processes from application to issuance of credits for at least one of the amount of greenhouse gas emission reduction, absorption, and removal in a target project, the target project being a project for which an applicant wishes to receive credits among projects of businesses related to at least one of greenhouse gas emission reduction, absorption, and removal, and that includes: applicant registration etc. means that provides a UI (User Interface) to a first terminal of the applicant for the applicant to input and apply for application documents including at least a project plan for the target project as data, and receives and registers the data of the application documents submitted through the UI from the first terminal; greenhouse gas emission etc. calculation means that calculates greenhouse gas emissions for the target project based on the data in the application documents in accordance with a predetermined first methodology and presents the results of the calculation on the first terminal; The method comprises: a methodology module management means for managing and operating the first methodology and a predetermined second methodology relating to the review process of the target project as modules, respectively; and a review support means for providing a UI to a second terminal of the reviewer that supports the reviewer in conducting a review of the target project based on the data of the application documents in accordance with the review process using the second methodology.

[0007] An information processing method and a program according to one aspect of the present invention are a method and a program corresponding to an information processing device according to one aspect of the present invention.

[0008] According to the present invention, greenhouse gas credits can be handled efficiently and simply.

[0009] 1 is a diagram showing an overview of the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. FIG. 1 is a diagram showing an overview of the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. FIG. 2 is a diagram showing an example of the configuration of an information processing system to which a server according to an embodiment of the information processing device of the present invention is applied. FIG. 3 is a block diagram showing an example of the hardware configuration of the server in the information processing system of FIG. 2. FIG. 4 is a functional block diagram showing an example of the functional configuration of the server of FIG. 3 that constitutes the information processing system of FIG. 2. FIG. 5 is an image diagram of a methodology module unit according to an embodiment of the information processing device of the present invention. FIG. 6 is an image diagram showing an example of an ESG+ economic efficiency evaluation tool and a weighting evaluation sheet according to an embodiment of the information processing device of the present invention. FIG. 7 is a diagram showing an example of a face sheet shown by an applicant registration authentication unit according to an embodiment of the information processing device of the present invention. FIG. 8 is a diagram showing an example of a project plan shown by an applicant registration authentication unit according to an embodiment of the information processing device of the present invention. FIG. 9 is a diagram showing an example of an emission reduction / absorption fixation calculation by a GHG emission reduction amount calculation tool unit according to an embodiment of the information processing device of the present invention. FIG. 10 is a diagram showing an example of an oath according to an embodiment of the information processing device of the present invention. FIG. 11 is a diagram showing an example of project progress management by an examination system DB module unit according to an embodiment of the information processing device of the present invention. FIG. 12 is a diagram showing an example of a document examination by an examination system DB unit according to an embodiment of the information processing device of the present invention. FIG. 1 is a diagram showing an example of an examination report face sheet by an examination system DB unit according to an embodiment of the information processing device of the present invention. FIG. 2 is a block diagram showing the project application function of an applicant registration authentication unit according to an embodiment of the information processing device of the present invention. FIG. 3 is a block diagram showing the online complete digital examination function in examination by an examination system DB unit according to an embodiment of the information processing device of the present invention. FIG. 4 is a block diagram showing the certificate issuance function by an authentication and account management unit according to an embodiment of the information processing device of the present invention. FIG. 5 is a flowchart showing the flow of business and procedures for application, examination, and credit issuance according to an embodiment of the information processing device of the present invention.1 is a block diagram showing the overall configuration of a system according to an embodiment of the information processing device of the present invention, in particular a block diagram showing a methodology module unit and a GHG emission reduction calculation tool unit. FIG. 1 is a block diagram showing the registration of environmental data used in a project according to an embodiment of the information processing device of the present invention. FIG. 2 is a block diagram showing the registration and input form of environmental data used in a project according to an embodiment of the information processing device of the present invention. FIG. 3 is a block diagram showing the registration of project performance data by an applicant registration and authentication unit according to an embodiment of the information processing device of the present invention. FIG. 4 is a block diagram showing the registration and upload of project performance data according to an embodiment of the information processing device of the present invention. FIG. 5 is a block diagram showing the check of project performance data according to an embodiment of the information processing device of the present invention. FIG. 6 is a block diagram showing the check and autonomous calculation of project performance data according to an embodiment of the information processing device of the present invention. FIG. 7 is a block diagram showing the overall configuration of a system according to an embodiment of the information processing device of the present invention, in particular a methodology module unit and a GHG emission reduction calculation tool unit. FIG. 8 is a block diagram showing the registration of environmental data used in a project according to an embodiment of the information processing device of the present invention. FIG. 9 is a block diagram showing the registration of project performance data by an applicant registration and authentication unit according to an embodiment of the information processing device of the present invention. FIG. 10 is a block diagram showing the registration and input form of environmental data used in a project according to an embodiment of the information processing device of the present invention. FIG. 11 is a block diagram showing the registration of project performance data by an applicant registration and authentication unit according to an embodiment of the information processing device of the present invention. FIG. 12 is a block diagram showing the registration and input form of project performance data according to an embodiment of the information processing device of the present invention. FIG. 13 is a block diagram showing the registration (file upload) of project performance data according to an embodiment of the information processing device of the present invention. FIG. 14 is a block diagram showing the registration of project 1 is a block diagram showing a project performance data registration and data collection application according to an embodiment of the information processing device of the present invention. 2 is a block diagram showing a project performance data registration and data collection application according to an embodiment of the information processing device of the present invention. 3 is a block diagram showing a project performance data verification according to an embodiment of the information processing device of the present invention.FIG. 10 is a block diagram showing verification and autonomous calculation of project performance data according to an embodiment of the information processing device of the present invention.

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0011] First, an overview of a service (hereinafter referred to as "this service") that can be realized by an information processing system (see FIG. 3 described later) to which a server 1 according to an embodiment of the information processing device of the present invention is applied will be described with reference to Figures 1 and 2. Figures 1 and 2 are diagrams showing an overview of this service that can be realized by an information processing system to which a server 1 according to an embodiment of the information processing device of the present invention is applied.

[0012] This service uses digital technology and IT to complete the entire process from application, screening, and issuance of credits (hereinafter simply referred to as "credits") related to at least one of the reduction, absorption, and removal of greenhouse gas (Greenhouse Gas) emissions in a project (hereinafter referred to as a "GHG emission reduction project"), all in one place. In other words, this service is a "one-stop credit support service."

[0013] Specifically, in the example of this service shown in FIG. 1 , the credit creator simply performs one step: inputting data describing the details of the GHG emission reduction project for which they wish to credit. The following steps S1 to S3 are executed. Specifically, in step S1, a feasibility study is conducted for the GHG emission reduction project. In step S2, the crediting system performs a one-stop process for the GHG emission reduction project, from application to review and issuance. In step S3, the credits are bought and sold on a matching platform. Note that the service provider of this service is only required to be responsible for the crediting system in step S2; the feasibility study in step S1 and the matching platform in step S3 may be entrusted to another business partner with the service provider. In the following example, only the feasibility study in step S1 is handled by another business, and the crediting system in step S2 and the matching platform in step S3 are provided by the service provider. In other words, hereinafter, the term "this service" refers to the service realized by the crediting system in step S2 and the matching platform in step S3.

[0014] As shown in Figure 2, the crediting system in step S2 of this service can be realized, for example, by a cloud-based platform (hereinafter referred to as the "Web application management platform") connected to a server 1 managed by the provider of this service.

[0015] Each of the n applicants A1 to An (n is an integer greater than or equal to 1) who are credit creators (Figure 1) receives the service by connecting the terminals they manage (hereinafter referred to as "applicant terminals 2-1 to 2-n") to the cloud. When there is no need to distinguish between the applicants A1 to An, they will be collectively referred to as "applicant A." Furthermore, when referring to "applicant A," the applicant terminals 2-1 to 2-n will be collectively referred to as "applicant terminal 2." Each of m examiners J1 to Jm (m is an integer greater than or equal to 1 and independent of n) will examine GHG emission reduction projects by connecting the terminals they manage (hereinafter referred to as "examiner terminals 3-1 to 3-m") to the cloud. When there is no need to distinguish between the examiners J1 to Jm, they will be collectively referred to as "examiner J." Furthermore, when referring to "examiner J," the examiner terminals 3-1 to 3-m will be collectively referred to as "examiner terminal 3." The system administrator SU uses a terminal that it manages (hereinafter referred to as the "system administrator terminal 4") to develop, register, and update the GHG emission reduction calculation tool unit 52 and methodology module unit 53 (described later) of the server 1. Note that this service also appropriately utilizes predetermined AI (hereinafter referred to as "cloud-based AI" or simply abbreviated as "AI") that exists on the web application management platform (cloud). Note that cloud-based AI also includes so-called generation AI.

[0016] In order to perform the functions of the crediting system in step S2 of Fig. 1, the server 1 is equipped with an applicant registration and authentication unit 51, a GHG emission reduction calculation tool unit 52, a methodology module unit 53, an examination system and DB unit 54, and an authentication and account management unit 55. The matching platform in step S3 of Fig. 1 is composed of a matching PF system 5 that is different from the server 1. In other words, the server 1 and the matching PF system 5 exchange various information via the cloud. In addition, other devices such as the server 1 (not shown) are provided with a credit issuance account history management unit.

[0017] The applicant registration and authentication unit 51 provides a function that encompasses the entire application process for GHG emission reduction projects so that applicant A can easily and accurately apply for crediting, thereby maximizing the user experience for applicant A.

[0018] The GHG emission reduction calculation tool unit 52 provides a function that enables applicant A to easily calculate GHG emissions for a GHG emission reduction project and confirm the calculation results. The GHG emission reduction calculation tool unit 52 in this example makes full use of generation AI (at least a part of cloud-based AI) to provide applicant A with innovative and easy usability. The GHG emission reduction calculation tool unit 52 enables applicant A to easily calculate GHG emissions for a GHG emission reduction project by using a methodology managed and operated by a methodology module unit 53 (described below), thereby enabling efficient application for a GHG emission reduction project.

[0019] The methodology module section 53 provides a function for systematically managing and operating the methodology for calculating GHG emissions and the methodology for GHG emission reduction projects in order to support efficient applications and reviews of GHG emission reduction projects. The methodology module section 53 aims to maximize the value of the system by strengthening cooperation with the GHG emission reduction calculation tool section 52 and the review system / DB section 54.

[0020] The review system / DB unit 54 digitizes the review process for GHG emission reduction projects and provides a function that enables reviewer J to perform efficient and reliable reviews. The review system / DB unit 54 utilizes generative AI (at least a part of cloud-based AI) to remove language and geographical barriers, thereby providing a function that enables reviewer J to perform an appropriate review no matter where he or she is. The review system / DB unit 54 enables efficient reviews of GHG emission reduction projects by providing a function that supports reviewer J in performing reviews in accordance with the review process for GHG emission reduction projects using the methodology managed and operated by the methodology module unit 53.

[0021] The authentication and account management unit 55 works in cooperation with a credit issuance and account history management unit of another device not shown in the figure to provide functions for issuing, authenticating, and managing accounts for credits approved after review of GHG emission reduction projects.

[0022] As a result, Applicant A registers the project at the time of application, is assigned a project number, and becomes the account holder. Applicant A can easily apply for project registration and upload the required documents (such as project plans in Excel (registered trademark) or PDF (registered trademark)) required for review, as well as make corrections and replacements.

[0023] Applicant A can also apply for credit authorization as an account holder / application agent. The progress of the review can be checked in real time, and once the review is completed, the application will proceed autonomously to the authorization issuance process. Therefore, excluding this process can also speed up the process.

[0024] Assessor J can view and confirm Applicant A's project plan (document to be audited). Assessor J can conduct a validation audit. Assessor J can verify the monitoring report.

[0025] Next, the configuration of an information processing system that realizes the provision of the above-described service, i.e., an information processing system to which the server 1 according to an embodiment of the information processing device of the present invention is applied, will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of an information processing system to which the server 1 according to an embodiment of the information processing device of the present invention is applied.

[0026] The information processing system shown in Figure 3 is configured to include a server 1, applicant terminals 2-1 to 2-n, examiner terminals 3-1 to 3-m, a scheme operator terminal 4, and a matching PF system 5. The server 1, applicant terminals 2-1 to 2-n, examiner terminals 3-1 to 3-m, scheme operator terminal 4, and matching PF system 5 are connected to each other via a network such as the Internet. Note that the system configuration in Figure 3 is merely an example, and for example, the scheme operator terminal 4 may be connected to the server 1 via a network such as a local network without via the Internet. In addition, another device (not shown) that is equipped with the credit issuance account history management unit of Figure 2 may also be connected via a network such as the Internet.

[0027] Server 1 is an information processing device managed by the service provider of the present service shown in Figures 1 and 2. Server 1 executes various processes for realizing the credit system of step S2 of Figure 1 of the present service, while appropriately communicating with applicant terminals 2-1 to 2-n, examiner terminals 3-1 to 3-m, and system administrator terminal 4 (as well as other devices not shown that include the credit issuance account history management unit of Figure 2).

[0028] The applicant terminal 2 is an information processing device managed by applicant A (Figure 2) and is composed of a smartphone, tablet, personal computer, etc. The examiner terminal 3 is an information processing device managed by examiner J (Figure 2) and is composed of a smartphone, tablet, personal computer, etc. The system administrator terminal 4 is an information processing device managed by system administrator SU (Figure 2) and is composed of a smartphone, tablet, personal computer, etc.

[0029] The matching PF system 5 is configured with a server 1 (not shown) and executes various processes for realizing the matching platform of step S3 in FIG. 1 of this service while communicating with the server 1 as appropriate.

[0030] FIG. 4 is a block diagram showing an example of the hardware configuration of the server 1 in the information processing system shown in FIG.

[0031] The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, an output unit 17, a memory unit 18, a communication unit 19, and a drive 20.

[0032] The CPU 11 executes various processes according to programs recorded in the ROM 12 or programs loaded from the storage unit 18 into the RAM 13. The RAM 13 also stores data and the like necessary for the CPU 11 to execute various processes.

[0033] The CPU 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output interface 15 is also connected to this bus 14. An input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0034] The input unit 16 is configured with, for example, a keyboard, and is used to input various types of information. The output unit 17 is configured with, for example, a display such as an LCD, a speaker, and the like, and outputs various types of information as images and sounds. The memory unit 18 is configured with, for example, a DRAM (Dynamic Random Access Memory), and is used to store various types of data. The communication unit 19 communicates with other devices (for example, applicant terminals 2-1 to 2-n, examiner terminals 3-1 to 3-m, and system operator terminal 4 in FIG. 3 (as well as other devices not shown that include the credit issuance account history management unit in FIG. 2)) via a network N including the Internet.

[0035] Removable media 30, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, is appropriately attached to the drive 20. Programs read from the removable media 30 by the drive 20 are installed in the storage unit 18 as needed. The removable media 30 can also store various data stored in the storage unit 18 in the same way as the storage unit 18.

[0036] Although not shown, the applicant terminals 2-1 to 2-n, examiner terminals 3-1 to 3-m, system operator terminal 4, and various devices that make up the matching PF system 5 (as well as other devices not shown that have the credit issuance account history management unit of Figure 2) can also have basically the same hardware configuration as that shown in Figure 4. Therefore, a description of the hardware configuration of the applicant terminals 2-1 to 2-n, examiner terminals 3-1 to 3-m, system operator terminal 4, and various devices that make up the matching PF system 5 (as well as other devices not shown that have the credit issuance account history management unit of Figure 2) will be omitted.

[0037] By cooperation of the various hardware and software constituting the information processing system of Figure 2, including the server 1 of Figure 4, various processes can be executed to provide the present service realized by the credit system of step S2 of Figure 1 and the matching platform of step S3.

[0038] FIG. 5 is a functional block diagram showing an example of the functional configuration of the server 1 of FIG. 4 in the information processing system of FIG.

[0039] 5, an applicant registration and authentication unit 51, a GHG emission reduction amount calculation tool unit 52, a methodology module unit 53, a review system and DB unit 54, and an authentication and account management unit 55 function in the CPU 11 of the server 1. A database 71 is also provided in one area of ​​the memory unit 18 of the server 1. The database 71 stores various data to be used by the applicant registration and authentication unit 51, the GHG emission reduction amount calculation tool unit 52, the methodology module unit 53, the review system and DB unit 54, and the authentication and account management unit 55.

[0040] The applicant registration and authentication unit 51 provides the applicant terminal 2 with a UI (User Interface) for applicant A to input and apply for application documents that include at least a project plan for the GHG emission reduction project for which applicant A wishes to be credited, and accepts and registers the data of the application documents submitted through the UI.

[0041] The applicant registration and authentication unit 51, for example, can provide the applicant terminal 2 with a UI that has a chat function with applicant A through an AI function, and can provide the applicant terminal 2 with a project application form, items, and specific draft appropriate for applicant A through the chat function.

[0042] The GHG emission reduction calculation tool unit 52 calculates the GHG emission amount for the GHG emission reduction project based on the data in the application documents in accordance with a predetermined methodology, and presents the calculation results to the applicant terminal 2 .

[0043] The GHG emission reduction calculation tool unit 52 can, for example, calculate the GHG emission amount in accordance with the items corresponding to applicant A obtained through the chat function in the applicant registration authentication unit 51.

[0044] The methodology module unit 53 manages and operates, as modules, one or more predetermined methodologies for calculating GHG emission amounts and one or more predetermined methodologies related to the review process of GHG emission reduction projects.

[0045] The methodology module unit 53 updates, for example, one or more predetermined methodologies for calculating GHG emissions and one or more predetermined methodologies related to the review process of GHG emission reduction projects, based on the latest information in the field to which the GHG emission reduction projects belong, in response to the GHG emission reduction projects.

[0046] The review system / DB section 54 provides the reviewer terminal 3 with a UI that assists reviewer J in conducting reviews in accordance with the review process for GHG emission reduction projects using the methodology managed and operated by the methodology module section 53.

[0047] The review system DB section 54 can provide the examiner terminal 3 with a UI that assists, through AI functions, in at least one of the following: matching multiple review items with application information, checking GHG emissions, and checking missing values ​​in monitor data on the examiner terminal 3.

[0048] The inspection system / DB unit 54 can further design an inspection plan using AI based on past inspection reports as the design of at least one of the inspection items and procedures.

[0049] The authentication and account management unit 55 cooperates with a credit issuance and account history management unit of another device (not shown) to issue, authenticate, and manage accounts for credits approved after screening of GHG emission reduction projects.

[0050] The functional configuration of the server 1 shown in FIG. 5 will be described in detail below.

[0051] The applicant registration and authentication unit 51 will now be described. The applicant registration and authentication unit 51 has the effect of enabling applicant A to apply for credit easily and accurately. The applicant registration and authentication unit 51 provides functions that encompass the entire application process, maximizing the user experience. Each of the main functions will be described in detail below.

[0052] The applicant registration and authentication unit 51 has an application input and preview function, an autonomous input assistance function, a chatbot support function, a document analysis and summary function, a timestamp management function, a correction and consultation function, a version management function, an evidence storage function, a smart preview function, and a voice input support function.

[0053] The application input function and preview function will now be described. The applicant registration and authentication unit 51 has an application input function. The applicant registration and authentication unit 51 provides a format screen for the project plan (PDD) and accepts input from applicant A. The applicant registration and authentication unit 51 generates an application form by having applicant A input the required items in order.

[0054] The preview confirmation function will now be described. The applicant registration and authentication unit 51 displays a preview on the screen after applicant A has completed input. In this way, the applicant registration and authentication unit 51 provides applicant A with an opportunity to review the application contents before submitting them.

[0055] The PDF (registered trademark) upload function will now be described. The applicant registration and authentication unit 51 provides a function that allows necessary supporting documents to be submitted in PDF (registered trademark) format, and stores the uploaded files in the system.

[0056] The autonomous completion function of the generation AI will now be explained. The applicant registration and authentication unit 51 analyzes the input content in real time and autonomously completes related information. For example, when the applicant registration and authentication unit 51 detects the input of a project name, it suggests general items and data related to that project.

[0057] The chatbot support function will now be explained. The applicant registration and authentication unit 51 immediately answers any questions or queries that arise while applicant A is entering information. The applicant registration and authentication unit 51 provides an AI chatbot. The applicant registration and authentication unit 51 also points out any input errors made by applicant A and provides guidance on the appropriate fields.

[0058] The document analysis and summarization functions will now be explained. The applicant registration and authentication unit 51 uses AI to analyze uploaded PDF (registered trademark) and Excel (registered trademark) files, extracts necessary information, and autonomously reflects it in input fields. In this way, the applicant registration and authentication unit 51 reduces the amount of manual input required by applicant A and improves the consistency and accuracy of data.

[0059] The timestamp management function will now be described. The applicant registration and authentication unit 51 autonomously adds a timestamp when applicant A submits the application details. In this way, the applicant registration and authentication unit 51 clearly records the date and time of submission.

[0060] The following explains the revision and consultation functions. The applicant registration and authentication unit 51 allows applicant A to make revisions as many times as he or she likes before submission. The applicant registration and authentication unit 51 provides a function that allows applicant A to consult with the secretariat when making revisions. The applicant registration and authentication unit 51 manages the chat function and telephone support interface within the platform.

[0061] The version management function will now be described. The version management function has a version saving function. When an application is revised, the applicant registration and authentication unit 51 saves the revised application as a new version and also retains previous versions. The applicant registration and authentication unit 51 is configured to manage all revision history and enable previous versions to be checked as necessary.

[0062] The evidence storage function will now be described. The evidence storage function has a secure storage function. The applicant registration and authentication unit 51 securely stores all submitted documents and their versions, making them available for later reference as evidence. The applicant registration and authentication unit 51 ensures the transparency and reliability of information.

[0063] The smart preview function will be explained. The smart preview function has an AI check function. The AI ​​check function will be explained. The applicant registration authentication unit 51 checks the application content using the generated AI to check for missing information or inconsistencies. The applicant registration authentication unit 51 suggests corrections as necessary, allowing applicant A to make corrections immediately.

[0064] The voice input support function will now be explained. The voice input support function has a voice recognition function. The applicant registration authentication unit 51 provides a function that allows information to be entered by voice. The voice recognition AI converts the voice into text and autonomously reflects it in the input field.

[0065] By combining these functions, the applicant registration and authentication unit 51 streamlines the entire application process, realizing a fast, reliable system that is easy to use for both applicant A and the secretariat. The applicant registration and authentication unit 51 enables applicant A to submit applications without stress and allows the secretariat to manage them efficiently. The applicant registration and authentication unit 51 is unique and convenient. The applicant registration and authentication unit 51 eliminates the need for assistance from experts such as consultants, providing convenience to applicants without special specialized knowledge, realizing unique and convenient application assistance. The applicant registration and authentication unit 51 standardizes and formulates the input / output calculation formulas and their elements (input values, coefficients, etc.) defined in the methodology, enabling accurate and simplified application work. This drastically reduces the effort required for unnecessary item checking and calculation verification in subsequent review processes.

[0066] The GHG emission reduction calculation tool unit 52 will be described in detail. The GHG emission reduction calculation tool unit 52 has a smart data upload function, an AI-driven calculation engine function, an interactive guide function, a dynamic report generation and visual analysis function, a version management and evidence storage function, an autonomous coefficient update function, and a missing data detection and solution proposal function.

[0067] The GHG emission reduction calculation tool unit 52 is a unique platform that makes full use of generation AI to enable applicant A to easily calculate GHG emission amounts and check reduction amounts. The GHG emission reduction calculation tool unit 52 provides innovative and easy usability.

[0068] The smart data upload function will now be described. The smart data upload function has an AI data cleaning function. The GHG emission reduction calculation tool unit 52 autonomously analyzes the uploaded data and corrects missing values ​​and abnormal values. This ensures the quality of the data and improves the accuracy of calculations.

[0069] The smart data upload function has a drag-and-drop interface. The GHG emission reduction calculation tool section 52 uploads data with a simple drag-and-drop operation. The GHG emission reduction calculation tool section 52 provides ease of use to the user with visual feedback.

[0070] The AI-driven calculation engine function will now be described. The AI-driven calculation engine function has an autonomous methodology selection function. In the GHG emission reduction calculation tool unit 52, the AI ​​autonomously selects the optimal calculation methodology that is associated with the relevant methodology based on the project characteristics. The GHG emission reduction calculation tool unit 52 omits the complicated selection process.

[0071] The AI-driven calculation engine function has a real-time calculation function. After data is uploaded, the GHG emission reduction calculation tool unit 52 displays the calculation results in real time. The GHG emission reduction calculation tool unit 52 provides the user with an environment in which they can check the results without waiting.

[0072] The interactive guide function will now be described. The interactive guide function has an AI assistant function. The GHG emission reduction calculation tool unit 52 provides real-time guidance as applicant A continues to input data. The GHG emission reduction calculation tool unit 52 immediately answers questions and points out input errors.

[0073] The interactive guide function has a voice input function. The GHG emission reduction calculation tool unit 52 is equipped with a voice recognition function, allowing the user to input information by voice. The GHG emission reduction calculation tool unit 52 provides intuitive operability.

[0074] The dynamic report generation and visual analysis functions will be described. The dynamic report generation and visual analysis functions have the function of generating dynamic graphs and charts. The GHG emission reduction calculation tool unit 52 generates dynamic graphs and charts that visually display the calculation results. The GHG emission reduction calculation tool unit 52 allows the results to be intuitively understood.

[0075] The dynamic report generation and visual analysis function allows for the creation of customizable reports. The GHG emission reduction calculation tool unit 52 allows for reports to be customized according to the user's needs. The GHG emission reduction calculation tool unit 52 also allows for the autonomously generated reports to be downloaded in PDF (registered trademark) or Excel (registered trademark).

[0076] The version management and evidence storage functions are explained below. The version management and evidence storage functions have a timestamp management function. The GHG emission reduction calculation tool unit 52 autonomously assigns a timestamp at the time of submission. Any number of revisions can be made before submission. The version management and evidence storage functions have a version management function. The GHG emission reduction calculation tool unit 52 saves all revision history and also retains past versions. The GHG emission reduction calculation tool unit 52 ensures transparency and realizes the storage of evidence.

[0077] The autonomous coefficient update function will now be described. The autonomous coefficient update function has a dynamic coefficient update function. In the GHG emission reduction calculation tool unit 52, the generation AI autonomously collects the latest global and domestic coefficients and applies them to the system. The GHG emission reduction calculation tool unit 52 performs calculations based on the latest information in a timely manner or at all times.

[0078] The autonomous coefficient update function has a feedback loop function. The GHG emission reduction calculation tool unit 52 collects feedback on the calculation results, and the generation AI continuously improves the algorithm. The GHG emission reduction calculation tool unit 52 improves the accuracy of the system.

[0079] The missing data detection and solution proposal function will be explained. The missing data detection and solution proposal function has a missing data detection function. The GHG emission reduction calculation tool unit 52 analyzes the uploaded data and detects missing values ​​and abnormal values. In this way, the GHG emission reduction calculation tool unit 52 ensures the integrity of the data.

[0080] The missing data detection and solution suggestion function has a function to suggest solutions. The GHG emission reduction calculation tool unit 52 uses the generation AI to suggest correction methods for detected missing values ​​and abnormal values. The GHG emission reduction calculation tool unit 52 supports applicant A so that he can easily correct the problems.

[0081] The uniqueness and key points of this system are explained below. The GHG emission reduction calculation tool unit 52 utilizes generative AI. The GHG emission reduction calculation tool unit 52 provides a multifunctional system that makes full use of generative AI, including autonomous methodology selection, data cleaning, real-time calculation, and dynamic report generation.

[0082] The GHG emission reduction calculation tool unit 52 provides a simple user interface. The GHG emission reduction calculation tool unit 52 provides an intuitive and easy-to-use UI, including drag and drop, voice input, and interactive guides.

[0083] The GHG emission reduction calculation tool unit 52 has an autonomous update function and a feedback loop function, and improves the accuracy of the system by autonomously updating the latest coefficients and providing continuous feedback.

[0084] The GHG emission reduction calculation tool unit 52 provides completeness of evidence storage. The GHG emission reduction calculation tool unit 52 securely stores all data and ensures transparency through version control and time stamp functions.

[0085] This system offers unparalleled innovation and convenience.

[0086] The methodology module section 53 will be described in detail. The methodology module section 53 supports efficient application and review of GHG emission reduction projects, and systematically manages and operates methodologies. The methodology module section 53 strengthens cooperation with GHG emission reduction calculation tools and review systems, and maximizes the asset value of the system.

[0087] The methodology module section 53 has a methodology systemization function, a document management function, a database management function, a system linkage function, a digital review tool function, and a dashboard function.

[0088] The methodology systemization function will now be described. The methodology module unit 53 systemizes conventional text document-format methodologies as algorithms and function expressions and provides them as a software development kit (SDK). Examples of providing them as software kits include those shown in Figures 26, 33, and 34, which are described below, in which the SDK is incorporated into the data collection app on the user terminal 6. In addition, Figures 31 and 32, described below, show examples in which the methodology module unit 53 is incorporated into the system rather than as an SDK. This allows applicant A and examiner J to systematically apply logic. The methodology module unit 53 clearly defines monitoring points based on the methodology and manages them within the system.

[0089] The document management function will now be described. The methodology module unit 53 manages methodology documents in PDF (registered trademark) format and maintains an update history for each version. The methodology module unit 53 properly stores old versions without deleting them, and clearly manages which version was applied to which application. The methodology module unit 53 records the version of the methodology used at the time of application, allowing the same version to be used for annual reviews and subsequent verification reviews. When upgrading, the methodology module unit 53 clearly indicates the revised parts on the document and in the system, and records which parts were changed and how as a history. The methodology module unit 53 allows applicant A and reviewer J to easily check the revision contents.

[0090] The database management function will now be explained. The methodology module unit 53 continuously expands and stores methodologies corresponding to various projects, such as solar power generation, biomass power generation, EVs, EV bikes, LED lighting, forest absorption, livestock farming, and blue carbon, in the database. This expandability allows the methodology module unit 53 to flexibly respond to the latest projects and always provide cutting-edge methodologies. The methodology module unit 53 centrally manages knowledge related to GHG reduction projects through the methodology database, and continuously accumulates and updates it. In this way, the methodology module unit 53 promotes standardization across the industry and provides a highly reliable information infrastructure.

[0091] The system linkage function will now be explained. The methodology module section 53 links the methodology module with the GHG emission reduction calculation tool, enabling calculations based on multiple methodologies. The methodology module section 53 allows applicant A to obtain accurate calculation results simply by uploading the appropriate data. The methodology module section 53 autonomously applies the appropriate methodology based on the application data and generates a checklist. The methodology module section 53 allows examiner J to easily check and verify the application contents on the system.

[0092] The functions of the digital review tool will now be explained. The methodology module section 53 is integrated with the review system and serves as the basis for reviewer J to conduct digital reviews. The methodology module section 53 conducts reviews based on systematically defined methodologies, supporting efficient and accurate evaluations. The methodology module section 53 openly shares methodology information, making it easily accessible to both applicant A and reviewer J. In this way, the methodology module section 53 enables applicant A to appropriately select and use a methodology that is suitable for him or her.

[0093] The dashboard function will now be described. The methodology module section 53 provides a dashboard that allows reviewer J to easily check the compatibility of application data with the methodology. The methodology module section 53 visually displays data compatibility and anomalies, allowing reviewer J to easily check the information he or she needs, thereby supporting the realization of an efficient review process. The methodology module section 53 provides a function that allows reviewer J to easily check the version information of the methodology used in the application. The methodology module section 53 allows reviewer J to grasp at a glance the version of the methodology applied to each application on the dashboard, and also allows detailed revision history to be referenced as necessary. The methodology module section 53 provides an interface that allows reviewer J to intuitively view methodology information, enabling quick access to the information he or she needs.

[0094] The methodology module unit 53 is unique and convenient. It systemizes traditional text-based methodologies and provides them as an easy-to-use SDK, improving the efficiency and accuracy of the application process. It centrally manages methodologies for various projects, accumulating and standardizing knowledge. It stores all methodology versions and clearly manages which version was used at the time of application. It also tracks revision history, allowing applicant A and reviewer J to easily confirm. Its autonomous update function ensures that the latest information is always available when methodologies and calculation formulas are upgraded. It functions as a digital review tool, helping reviewer J conduct efficient and accurate evaluations. It provides a visual dashboard, making it easy to understand data conformance and anomalies. It provides an intuitive interface for viewing methodology information, allowing quick access to necessary information.

[0095] The methodology module portion 53 makes the application and review of GHG reduction projects easier and more efficient, and improves reliability and transparency.

[0096] An image of the methodology module unit 53 is shown in FIG. 6 . FIG. 6 is an image diagram of the methodology module unit 53. FIG. 6 shows data exchange between the server 1, database 71, and web interface 81. That is, FIG. 6 visually shows how the components of the server 1, database 71, and web interface 81 work together. A wide variety of methodologies are stored in the database 71. The diagram at the bottom of FIG. 7 further expands on each methodology, using solar power generation as an example. Text data and systemization SDKs are defined and maintained as a set, and version management is performed with each update. Measured data and related data (coefficients, etc.) are linked and stored for each version. Each is linked, stored, and managed.

[0097] The review system / DB section 54 will be explained in detail. The review system / DB section 54 is designed to digitize the review process for GHG emission reduction projects and realize efficient and reliable reviews. The review system / DB section 54 utilizes generative AI to remove the personal characteristics of the reviewer as well as language and geographical barriers, enabling reviewer J to conduct an appropriate review no matter where he or she is. The main functions and their components are summarized below.

[0098] The review system / DB section 54 has a web platform access function for reviewer J, a collaborative review report creation function, two types of review functions, a system integration function, a review method function, a database management function for review records, and a knowledge accumulation and AI utilization function.

[0099] The web platform access function for assessor J will be explained below. The assessment system DB section 54 enables assessor J to access the web platform and check the data of the project he is in charge of and applicant A. The assessment system DB section 54 provides the function of checking assessment items, recording comments, and completing the assessment report. The assessment system DB section 54 provides an environment in which assessor J can access the web platform online, whether he is in Japan or anywhere in the world. The assessment system DB section 54 enables the assignment of abundant assessor resources.

[0100] The collaborative creation function for the audit report will now be explained. The audit system DB section 54 provides a function whereby multiple auditors J can record their comments based on the audit items and write down their final conclusions. The audit system DB section 54 assigns a timestamp to the final audit report, and also assigns a double timestamp of authentication by the secretariat.

[0101] Two types of review functions will be explained. For validation, the review system DB section 54 calls up application project data and uses common items as review items for validation and review items composed of review items linked to methodology modules. The review system DB section 54 provides a function for checking a set of review items in checklist format and entering comments. For verification, the review system DB section 54 targets projects that have passed validation. After the initial verification, the review system DB section 54 provides functions including annual reviews. The review system DB section 54 uses common items as review items for verification and review items linked to methodology modules. The review system DB section 54 enables the appropriateness of baseline emissions, project emissions, and the project reduction amount (the difference between them) to be determined simply by reading and confirming the values ​​calculated by the GHG emission reduction calculation tool. As a result, the examination system DB unit 54 reduces the effort and human error involved in the conventional work of the examiner J tracing and checking calculations.

[0102] The system linking function will now be explained. The review system DB section 54 links the methodology module with the GHG emission reduction calculation tool, enabling calculations based on multiple methodologies. The review system DB section 54 allows applicant A to obtain accurate calculation results simply by uploading the appropriate data. The review system DB section 54 autonomously applies the appropriate methodology based on the application data and generates a checklist. The review system DB section 54 allows examiner J to easily check and verify the results on the system.

[0103] The review method functions are explained below. The review system / DB section 54 provides a method for conducting reviews online as a desktop review. Compared to traditional paper-based and email-based document reviews, the review system / DB section 54 prevents data leaks of highly confidential applicant A and review data. The review system / DB section 54 records interviews and interactions during remote reviews in real time using generation AI, enabling reviews to be conducted while sharing meeting notes on the screen on the spot. The review system / DB section 54 stores and preserves meeting notes and videos as a set as review records. The review system / DB section 54 utilizes generation AI to translate application documents and communications in real time as a function to overcome language barriers (barrier-free access). The review system / DB section 54 allows the review to proceed smoothly even if reviewer J and applicant A speak different languages.

[0104] The following explains the database management function for audit records. The audit system DB section 54 stores all audit records, such as audit reports and remote audit records, in a database to ensure transparency and reliability. The audit system DB section 54 makes it possible for past audit data to be viewed, allowing the next auditor J and the next audit team to view past audit records.

[0105] The following explains the knowledge accumulation and AI utilization functions. The review system DB section 54 accumulates all review reports as knowledge and stores them in a database to convert review reports into knowledge. The review system DB section 54 provides a function in which the generation AI proposes new review items based on past review reports as an AI-assisted optimization of review items. The review system DB section 54 enables reviewer J to add or delete items proposed by the AI ​​and design an optimal review plan. The review system DB section 54 standardizes review items using the generation AI to standardize review quality, and provides a mechanism in which reviewer J can acquire the knowledge necessary during the review process while interacting with the AI. The review system DB section 54 complements the biases in reviewer J's experience and areas of expertise, maintaining the consistency of the review.

[0106] The review system / DB section 54 is unique and convenient. The review system / DB section 54 streamlines the review process by enabling reviewer J to easily conduct reviews and keep records on a web platform, thereby streamlining the review process. The review system / DB section 54 provides global access and abundant review resources, allowing reviewer J to access the system from anywhere in the world and assign abundant review resources. The review system / DB section 54 enables reviews that transcend language barriers by utilizing generative AI to translate documents and communications in real time. The review system / DB section 54 enables smooth reviews even in different language environments. The review system / DB section 54 provides timestamps and authentication by adding timestamps to review reports and authentication by the secretariat, ensuring the transparency and reliability of the review. The review system / DB section 54 accumulates and utilizes knowledge by storing past review data as knowledge and utilizing AI to optimize the next review items. The review system / DB section 54 creates a loop to improve the quality of reviews. The review system / DB unit 54 standardizes review quality by standardizing review items using generation AI and having reviewer J proceed through the review process while interacting with the AI, thereby compensating for biases in experience and areas of expertise and achieving consistently high-quality reviews. As a database management for review records, the review system / DB unit 54 stores all review records in a database and makes past review data available for viewing, thereby achieving continuous improvement and transparency.

[0107] The Review System / DB Department 54 streamlines the review process, improves transparency and reliability, and ensures appropriate and accurate reviews. The Review System / DB Department 54 also strengthens review quality control, preventing variations among reviewers.

[0108] The authentication and account management unit 55 is described in detail below. The authentication and account management unit 55 is designed to issue, authenticate, and manage accounts for credits approved after review of GHG emission reduction projects. The main functions and their components are summarized below.

[0109] The authentication and account management unit 55 has an issuance process function, a digital certificate issuance function, a security measure function, and an account information management function.

[0110] The issuance process function will now be explained. The authentication and account management unit 55 compiles information on projects that have completed their final review. This information includes the target methodology, project overview, reduction amount (amount of credits issued), and target period (period from start to end of certification). The authentication and account management unit 55 links the database record numbers of the credit-related application documents and review reports, and centrally manages which credits have been issued based on which application details.

[0111] The digital certificate issuance function will now be described. The authentication and account management unit 55 creates a digital certificate for the issued credit and reports this to applicant A. When converting traceable credit that cannot be tampered with into an NFT, the authentication and account management unit 55 digitally manages the basic information to be engraved on the blockchain.

[0112] The security measures will now be explained. After issuing the credit, the authentication and account management unit 55 temporarily stores the data on the server 1 and transfers it to the main system of the system management office. To ensure security, the authentication and account management unit 55 stores the issued data in the office's artificial intelligence personal computer (hereinafter referred to as AIPC) and maintains a backup. The authentication and account management unit 55 leaves only temporary information on the server 1, which is for viewing only.

[0113] The account information management function will now be described. The authentication and account management unit 55 manages the holder information of issued credit cards and provides this to applicant A as a digital certificate. The authentication and account management unit 55 manages a backup of the issued credit card information on the system administration office side, and only temporary data is stored on the server 1.

[0114] The authentication and account management unit 55 is unique and convenient. As a comprehensive information management system, the authentication and account management unit 55 centrally manages project information, related documents, and review reports, and oversees all data related to credit issuance. The authentication and account management unit 55 supports digital certificates and NFTs, providing issued credits as digital certificates and preparing for future non-fungible tokenization (NFT). For high security, the authentication and account management unit 55 temporarily stores issued credit data on the server 1, but strengthens security by transferring it to a secure main system. For transparency and traceability, the authentication and account management unit 55 links related documents and review reports, making the credit issuance process transparent and realizing traceable data management.

[0115] The authentication and account management unit 55 makes the credit issuance process more efficient, improves transparency and reliability, and realizes appropriate and safe credit management.

[0116] Below, with reference to Figures 7 to 36, the processing modes of the applicant registration authentication unit 51, GHG emission reduction calculation tool unit 52, methodology module unit 53, review system / DB unit 54, and authentication / account management unit 55 will be explained in more detail.

[0117] Figure 7 shows an example of an ESG + economic evaluation tool and weighting evaluation sheet. It is preferable that this system also considers the sustainability of greenhouse gas credits. It is preferable to evaluate environmental impact from an ESG perspective, that is, evaluate community contribution, labor, and human rights from a society perspective, evaluate governance and antisocial behavior from a governance perspective, and further evaluate fundraising / planning and business viability from an economy perspective. For example, in the case of solar power generation, is any green power acceptable? It is important to consider and take measures to address social issues and environmental impacts. In the case of livestock farming, it is important to consider decarbonization, animal welfare, and the 4Ks.

[0118] 8 to 14 show specific application forms, examination forms, screen examples, etc. Figures 8 to 11 show examples of application screens, and Figures 12 to 14 are examples of examination screens.

[0119] Figure 8 shows an example of a face sheet displayed by the applicant registration and authentication unit 51. Area g1 is an area where the AI ​​specifically displays any inconsistencies in notation, errors, or missing entries. Sample information and guidance are displayed within the frame of area g2, so applicant A will not get lost. Area g3 is an area where the work can be interrupted using the "save draft" function. Area g4 uses an AI chat function to allow the applicant registration and authentication unit 51 to answer questions and inquiries directly and interactively, without the need for a manual. The applicant registration and authentication unit 51 can select whether to display or hide the area.

[0120] FIG. 9 shows an example of a project plan displayed by the applicant registration authentication unit 51. Areas g5 and g6 are areas where the applicant registration authentication unit 51 uses its generation AI function to display standard sample entry examples based on past cases, etc. Area g7 is an area where the applicant registration authentication unit 51 uses its AI function to suggest from patterns (mechanical diagrams) prepared in advance. Area g7 also allows applicant A to select an option himself / herself. Area g8 is an area where the applicant registration authentication unit 51 uses its AI function to suggest from patterns (mechanical diagrams) prepared in advance. By utilizing area g8, it is possible to reduce variation in personal expression and freehand drawings to zero, and also to completely categorize them.

[0121] FIG. 10 shows an example of an emission reduction / removal fixation calculation performed by the GHG emission reduction calculation tool unit 52. FIG. 11 shows an example of an oath. In FIG. 10, area g9 is an area in which the GHG emission reduction calculation tool unit 52 uses AI to explain calculation errors and their causes. Area g10 is an area in which the applicant registration and authentication unit 51 accepts direct uploading of data held by applicant A. Then, as shown in FIG. 11, the applicant registration and authentication unit 51 displays on the screen the requirements that the applicant must comply with as items called up from the methodology module unit 53 corresponding to the project being applied for, and the applicant checks them to make an oath and a timestamp is stamped.

[0122] FIG. 12 shows an example of project progress management using the methodology module unit 53. Area g11 allows the methodology module unit 53 to check the overall project status and the project in charge in real time, and also enables searching. Area g12 allows the methodology module unit 53 to display a page screen by calling up individual files stored in the cloud from the database list or from this system. In this case, the methodology module unit 53 also displays AI-generated video minutes of remote audits in cooperation with an external tool.

[0123] Figure 13 shows an example of a document review by the review system DB unit 54. Area g13 is an area where the review system DB unit 54 displays a specified review item template as a default or initial screen. The review system DB unit 54 then provides an environment in which judge J can create and edit the document on the screen of the examiner terminal 3 and save it as a draft. The review system DB unit 54 stamps a timestamp upon final confirmation. The review system DB unit 54 converts the final confirmation content, etc., into, for example, PDF (registered trademark) format, which can then be printed.

[0124] Figure 14 shows an example of an audit report face sheet generated by the audit system DB unit 54. Area g14 is an area that provides an environment in which the audit system DB unit 54 can create and edit among the auditors J on the screen of the auditor terminal 3 and save drafts. The audit system DB unit 54 stamps a timestamp upon final confirmation. The audit system DB unit 54 can convert the final confirmation content, etc., into, for example, PDF (registered trademark) format, which can then be printed.

[0125] The information processing system according to the present disclosure realizes a one-stop system. The applicant registration and authentication unit 51, the GHG emission reduction calculation tool unit 52, the methodology module unit 53, the examination system and DB unit 54, and the authentication and account management unit 55 will be explained again from the perspective of the one-stop system.

[0126] Figures 15 to 17 show the main functions of the one-stop system. Figure 15 shows the main functions of the applicant registration and authentication unit 51 (project application), Figure 16 shows the main functions of the review system and DB unit 54 (review (third-party review)), and Figure 17 shows the main functions of the authentication and account management unit 55 (certificate issuance).

[0127] Specifically, for example, FIG. 15 shows the project application function of the applicant registration and authentication unit 51. The applicant registration and authentication unit 51 has an application creation function that allows applicant A to directly input an application into a standard form. The applicant registration and authentication unit 51 performs simple autonomous generation through data integration, achieving high speed. The applicant registration and authentication unit 51 provides an environment that realizes easy-to-read screen displays based on a cloud that can be shared by the system administrator SU, examiner J, and applicant A. The methodology module unit 53 provides methodology and calculation functions that enable application documents to be created at any time. The GHG emission reduction calculation tool unit 52 enables calculations and anomaly detection analysis to be performed without human intervention. The GHG emission reduction calculation tool unit 52 allows applicant A's applicant terminal 2 to be constantly connected to the server 1, allowing for constant corrections. Flexible support for various data collection methods is possible.

[0128] Figure 16 shows the online complete digital audit function for audits by the audit system DB department 54. The audit system DB department 54 enables remote audits. The audit system DB department 54 makes it possible to streamline, standardize, and speed up audit procedures by using standard audit plan and report forms and audit analysis tools. The audit system DB department 54 achieves efficiency by conducting audits using tools such as AI to detect anomalies and errors. Remote audits by the audit system DB department 54 are completed online.

[0129] Figure 17 shows the certificate issuance function performed by the authentication and account management unit 55. The authentication and account management unit 55 centrally manages application data. After confirming and storing the screening data, the authentication and account management unit 55 issues the certificate. The authentication and account management unit 55 makes the issuance procedure seamless and fast. The authentication and account management unit 55 issues credits that link records of application data and screening data. The authentication and account management unit 55 centrally manages application data.

[0130] Figure 18 is a flowchart showing the business and procedure flow for application, review, and credit issuance. In the procedural flow, interactions occur chronologically from right to left as shown in Figure 18. Figure 18 shows the flow of events between each device (server 1, system operator terminal 4, examiner terminal 3, applicant terminal 2) from project application to credit purchase and sale, as well as between the general public and users. As shown in the upper part of Figure 18, the process chronologically proceeds from project application to third-party review, credit issuance, and credit purchase and sale. The project application proceeds through input / draft, application, contract / payment of initial fee. The third-party review proceeds through document review, public comments, and third-party review. The issuance of credits proceeds through approval, issuance, and account registration. A matching platform (matching PF) may be used for purchase and sale. Examples of topics covered include solar power generation (solar panels), biomass power generation, energy-saving equipment, behavioral changes in transportation, eco-driving, heat-insulating paint, forestry, shared cars, recycled reuse, blue carbon, marine aquaculture, measures to combat plastic waste, livestock farming (burping), organic farming, electric cars, and electric motorcycles.

[0131] 19 to 25 are diagrams illustrating an example for solar panels. FIG. 19 shows the overall configuration, particularly the methodology module unit 53 and the GHG emission reduction calculation tool unit 52. FIG. 20 is a diagram illustrating the registration of environmental data to be used in the project. FIG. 21 is a diagram illustrating the registration and input form for environmental data to be used in the project. The applicant registration and authentication unit 51 accepts registration by applicant A through an input form for information on the power company to be used in the project. The applicant registration and authentication unit 51 stores the registered information in the database 71, particularly the environmental data master base. This information can also be used in other projects. FIG. 22 is a diagram illustrating the registration of project performance data by the applicant registration and authentication unit 51. FIG. 23 is a diagram illustrating the registration and upload of project performance data. The applicant registration and authentication unit 51 accepts applicant A's selection of a comma-separated values ​​file (hereinafter referred to as CSV) of project performance information to be uploaded to the system. The applicant registration authentication unit 51 registers the information registered by applicant A in the database 71, particularly the performance database, using mapped common item names. At that time, the applicant registration authentication unit 51 extracts the uniquely assigned item names from the CSV and sets up a mapping with the common item names. Figure 24 is a diagram showing the checking of project performance data. Figure 25 is a diagram showing the checking and autonomous calculation of project performance data. The assessment system DB unit 54 accepts a request from assessor J to check the data stored in the database 71, particularly the performance DB, related to the project. The GHG emission reduction calculation tool unit 52 uses a calculation module to autonomously calculate emissions and reduction amounts, checks the calculation against applicant A's performance data, and presents the results to assessor J via the assessor terminal 3. The assessment system DB unit 54 stores the checked performance data in the database 71, particularly the common performance DB.

[0132] Figures 26 to 36 show an example in which this system is applied to an electric motorcycle. Figure 26 shows the overall configuration, particularly the GHG emission reduction calculation tool unit 52 and the methodology module unit 53. Figure 27 shows the registration of environmental data to be used in a project. Figure 28 shows the registration and input form for environmental data to be used in a project. The applicant registration and authentication unit 51 accepts registration of information on the model of electric motorcycle or gasoline motorcycle to be used in the project by applicant A through an input form. The applicant registration and authentication unit 51 stores the registered information in the database 71, particularly the environmental data master base. This information can also be used in other projects. Figure 29 shows the registration of project performance data by the applicant registration and authentication unit 51. Figure 30 shows the registration and input form for project performance data. The applicant registration and authentication unit 51 accepts project performance information entered by applicant A through an input form. The applicant registration and authentication unit 51 registers the performance information in the database 71, particularly the performance DB. FIG. 31 is a diagram illustrating the registration (file upload) of project performance data. FIG. 32 is a diagram illustrating the registration of project performance data and the setting of related items. The applicant registration and authentication unit 51 accepts applicant A's selection of project performance information CSV and upload to the system. The applicant registration and authentication unit 51 registers the information registered by applicant A in the database 71, particularly the performance database, using mapped common item names. At this time, the applicant registration and authentication unit 51 extracts uniquely assigned item names from the CSV and sets up mapping with the common item names. FIG. 33 is a diagram illustrating the registration of project performance data and the data collection app. FIG. 34 is a diagram illustrating the registration of project performance data and the data collection app. The applicant registration and authentication unit 51 accepts applicant A's registration of project performance information from the data collection app via the applicant terminal 2. The data collection app acquires the motorcycle's mileage using a screenshot of the app and transmits it to the server 1. The applicant registration and authentication unit 51 registers the transmitted information in the database 71, particularly the performance DB.At this time, the GHG emission reduction calculation tool unit 52 uses a calculation module to reference coefficient information from vehicle-specific information and autonomously calculates emissions and reduction amounts. Figure 35 is a diagram showing the verification of project performance data. Figure 36 is a diagram showing the verification and autonomous calculation of project performance data. The assessment system DB unit 54 accepts a request from assessor J to verify data stored in the database 71 related to the project, particularly the performance DB. The GHG emission reduction calculation tool unit 52 uses the calculation module to autonomously calculate emissions and reduction amounts, verify them against applicant A's performance data, and present the results to assessor J via assessor terminal 3. Assessor J can verify his or her own performance data. The assessment system DB unit 54 stores the verified performance data in the database 71, particularly the common performance DB.

[0133] Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope of achieving the object of the present invention are considered to be included in the present invention.

[0134] For example, the system configuration shown in FIG. 3 and the hardware configuration of the server 1 shown in FIG. 4 are merely examples for achieving the object of the present invention, and are not particularly limited.

[0135] Furthermore, the functional block diagram shown in Fig. 5 is merely an example and is not particularly limited. That is, it is sufficient if the information processing system in Fig. 3 is provided with a function that can execute the various processes described above as a whole, and the functional blocks and databases used to realize this function are not particularly limited to the example in Fig. 5.

[0136] Furthermore, the locations of the functional blocks and databases are not limited to those shown in Figure 5 and may be arbitrary. For example, at least some of the functional blocks and databases located on the server 1 side may be provided on the applicant terminal 2, the examiner terminal 3, the system administrator terminal 4, or other information processing devices not shown.

[0137] 6 to 36 are merely examples and are not particularly limited. That is, it is sufficient if the information processing system in FIG. 3 is provided with a function that can execute the various processes described above as a whole, and the displays, functional blocks, and databases used to realize these functions are not particularly limited to the examples in FIG. 6 to 36.

[0138] The above-described series of processes can be executed by hardware or software, and each functional block can be configured by hardware alone, software alone, or a combination of both.

[0139] When a series of processes is executed by software, the programs constituting the software are installed onto a computer or the like from a network or a recording medium. The computer may be a computer incorporated into dedicated hardware. The computer may also be a computer capable of executing various functions by installing various programs, such as the server 1, a general-purpose smartphone, or a personal computer.

[0140] The recording medium containing such a program may be composed not only of a removable medium (not shown) that is distributed separately from the device main body in order to provide the program to the user, but also of a recording medium that is provided to the user in a state that is pre-installed in the device main body.

[0141] In this specification, the steps of describing a program to be recorded on a recording medium include not only processes that are performed chronologically in accordance with the order, but also processes that are not necessarily performed chronologically but are performed in parallel or individually.

[0142] To sum up, the information processing device to which the present invention is applied is sufficient as long as it has the following configuration, and can take on a variety of different embodiments.

[0143] That is, the information processing device (server 1 in FIGS. 2 to 5) to which the present invention is applied is an information processing device that executes processing (at least executes processing related to the crediting system in step S2 of the present service in FIG. 1) to support the execution of a series of steps from application to issuance of credits related to at least one of the reduction, absorption, and removal of greenhouse gas emissions in a target project for which an applicant (for example, applicant A in FIG. 2) desires crediting among projects of businesses related to at least one of the reduction, absorption, and removal of greenhouse gas emissions (for example, the GHG emission reduction project referred to above), and has a UI (User Interface) for the applicant to input and apply for application documents including at least a project plan for the target project as data. an applicant registration etc. means (e.g., the applicant registration authentication unit 51 in FIGS. 2 and 5) that provides a UI (User Interface) to a first terminal of the applicant and receives and registers data of the application documents submitted through the UI from the first terminal (e.g., the applicant terminal 2 in FIGS. 2, 3, and 5); a greenhouse gas emissions etc. calculation means (e.g., the GHG emissions reduction calculation tool unit 52 in FIGS. 2 and 5) that calculates greenhouse gas emissions for the target project based on the data of the application documents in accordance with a predetermined first methodology and presents the results of this calculation to the first terminal; a methodology module management etc. means (e.g., the methodology module unit 53 in FIGS. 2 and 5) that manages and operates the first methodology and a predetermined second methodology related to the screening process of the target project as modules, respectively; It is sufficient to have an audit support means (e.g., audit system DB section 54 in Figures 2 and 5) that provides a UI to the second terminal of the auditor (e.g., auditor terminal 3 in Figures 2, 3, and 5) to assist the auditor (e.g., auditor J in Figure 2) in conducting an audit of the target project based on the data in the application documents in accordance with the audit process using the second methodology.

[0144] This will allow for efficient and easy handling of greenhouse gas credits.

[0145] The system may further include a credit issuing unit (e.g., the authentication and account management unit 55 in Figs. 2 and 5) that issues, certifies, and manages accounts for credits approved through the screening of the target project. This allows applicants to receive greenhouse gas credits efficiently and easily.

[0146] The applicant registration means may provide the UI having a chat function with the applicant through an AI function to the first terminal, and may provide the first terminal with a project application form, items, and a specific draft that is appropriate for the applicant via the chat function.

[0147] This allows the AI ​​to predict the required fields based on voice input, uploaded PDF (registered trademark) or Excel (registered trademark) files, past cases in EARTHSTORY (registered trademark), and published domestic and international projects and methodologies, even if the applicant lacks specialized knowledge or uses slight variations in language and terminology. It then generates a specific draft and proposes a proposal based on the details. This creates an AI agent that assists the applicant. By carefully selecting optimal wording while reducing the effort of manual input, the application process is shortened and data consistency and accuracy are improved. Language generation AI and an AI agent specialized for credit projects are utilized.

[0148] This allows applicants to manage supporting data digitally, eliminating the need to bother transcribing and re-editing application forms and files. As long as the required information is included, applicants can simply upload their data as GHG calculation data (Excel (registered trademark) / CSV). There is also no need to outsource calculations and document creation to consultants. Using the data provided by applicants as input data, GHG emissions and reductions (output) can be calculated accurately and autonomously in accordance with the relevant methodology and applicable coefficients.

[0149] This eliminates unnecessary exchanges in document review due to applicant transcription and calculation errors, and eliminates the need for reviewers to check calculations. In addition, by having AI detect missing values ​​(missing measurements, missing data) and infer methods of completion, review items such as detecting missing values ​​and confirming how to fill or complete them can be visualized, preventing omissions in the review and ensuring the standard of review. It eliminates unnecessary information exchange. It reduces the stress, effort, and cost of document preparation work for applicants. It also makes it possible to achieve accurate, autonomous calculations and checks.

[0150] The greenhouse gas emission amount calculation means may calculate the greenhouse gas emission amount in accordance with the items corresponding to the applicant obtained through the chat function, thereby enabling accurate and autonomous calculation of GHG emission amount and reduction amount (output).

[0151] The methodology module management means may update the modules of the first methodology and the second methodology in accordance with the target project based on the latest information in the field to which the target project belongs.

[0152] This systematizes traditional text-based methodologies and provides them as easy-to-use APIs and SDKs based on the latest information. It improves the efficiency and accuracy of the application process. It also reduces unfair judgments and inequalities caused by literacy gaps, such as applicants not knowing what input data to measure, collect, record, and calculate, and whether published data or default values ​​are correct or incorrect when citing coefficients due to lack of knowledge. By adding methodologies for various projects, such as solar power generation, electric vehicles, electric motorcycles, blue carbon, and livestock GHG, the system centrally manages various methodologies and enables knowledge accumulation and standardization. The autonomous update function ensures that the latest information is always applied as methodologies and calculation formulas are upgraded. It functions as a digital audit tool, supporting auditors in conducting efficient and accurate evaluations. It eliminates bottlenecks in the fully digitalized MRV (Measurement, Reporting, and Verification) process. No knowledge of technical terms or formulas is required.

[0153] The review support means may provide the UI to the second terminal, using AI functions to assist in at least one of the following: matching multiple review items with application information, verifying the greenhouse gas emissions, and checking missing values ​​in the monitor data on the second terminal. This allows for time savings and countermeasures against human error, such as oversights and omissions. The review support means may provide two types of review: desktop (paper) review of the information and supporting documents uploaded to the cloud, as well as remote review from a remote location. Video recordings of remote reviews may be recorded in any language, and minutes may be instantly generated and stored as digital information using AI. This provides a digital record of evidence. This allows for time savings and countermeasures against human error, such as oversights and omissions.

[0154] The audit support means may further design an audit plan using AI based on past audit reports as the design of at least one of the audit items and procedures, thereby improving the efficiency of the audit process, strengthening audit quality control, eliminating personal dependency through standardization, and improving the transparency and reliability of the audit.

[0155] DESCRIPTION OF SYMBOLS 1...Server, 2, 2-1, 2-n...Job seeker terminal, 11...CPU, 12...ROM, 13...RAM, 14...Bus, 15...Input / output interface, 16...Input section, 17...Output section, 18...Memory section, 19...Communication section, 20...Drive, 30...Removable media, 51...Applicant registration and authentication section, 52...GHG emission reduction calculation tool section, 53...Methodology module section, 54...Review system / DB section, 55...Authentication / account management section, 71...Database

Claims

1. An information processing device which performs processing to support the execution of a series of processes from application to issuance of credits relating to at least one of the reduction, absorption and removal of greenhouse gas emissions in a target project for which an applicant wishes to generate credits among projects of businesses related to at least one of the reduction, absorption and removal of greenhouse gas emissions, comprising: an applicant registration etc. means which provides a UI (User Interface) to a first terminal of the applicant for the applicant to input and apply application documents including at least a project plan for the target project as data, and receives and registers the application document data submitted through the UI from the first terminal; a greenhouse gas emission etc. calculation means which calculates greenhouse gas emissions for the target project based on the application document data in accordance with a predetermined first methodology and presents the results of the calculation on the first terminal; a methodology module management etc. means which manages and operates the first methodology and a predetermined second methodology related to the screening process for the target project as modules, respectively; and a review support means for providing a UI to a second terminal of the reviewer to assist the reviewer in reviewing the target project based on the data of the application documents in accordance with a review process using the second methodology.

2. The information processing device according to claim 1, further comprising a credit issuing means for issuing, authenticating and managing accounts of credits approved through said review of said target project.

3. The information processing device according to claim 1, wherein the applicant registration etc. means provides the UI having a chat function with the applicant via an AI function to the first terminal, and provides the first terminal with a project application form, items, and a specific draft appropriate to the applicant via the chat function.

4. The information processing device according to claim 3, wherein the greenhouse gas emission calculation means calculates the greenhouse gas emission amount in accordance with the items corresponding to the applicant obtained through the chat function.

5. The information processing device according to claim 1, wherein said methodology module management means updates said modules of said first methodology and said second methodology in accordance with said target project based on the latest information of the field to which said target project belongs.

6. The information processing device according to claim 1, wherein the review support means provides the second terminal with the UI that assists, through an AI function, in at least one of matching a plurality of review items with application information, verifying the greenhouse gas emissions, and checking missing values ​​in monitor data on the second terminal.

7. The information processing device according to claim 1, wherein the inspection support means further designs an inspection plan using AI based on past inspection reports as a design of at least one of the inspection items and procedures.

8. An information processing method of an information processing device that performs processing to support a series of processes from application to issuance of credits related to at least one of the reduction, absorption, and removal of greenhouse gas emissions in a target project for which an applicant desires to be credited among projects of a business relating to at least one of the reduction, absorption, and removal of greenhouse gas emissions, comprising: an applicant registration step, etc., of providing a UI (User Interface) for the applicant to input and apply as data application documents including at least a project plan for the target project to a first terminal of the applicant, and accepting and registering the data of the application documents applied for through the UI from the first terminal; a greenhouse gas emissions calculation step, etc., of calculating greenhouse gas emissions for the target project based on the data of the application documents in accordance with a predetermined first methodology and presenting the results of the calculation on the first terminal 2; and a methodology module management step, etc., of managing and operating the first methodology and a predetermined second methodology related to the screening process for the target project as modules, respectively. and a review support step of providing a UI to a second terminal of the reviewer, the UI supporting the reviewer in conducting a review of the target project based on the data of the application documents in accordance with a review process using the second methodology.

9. A computer that executes processing to support a series of processes from application to issuance of credits relating to at least one of the reduction, absorption, and removal of greenhouse gas emissions in a target project for which an applicant wishes to obtain credits among projects of businesses related to at least one of the reduction, absorption, and removal of greenhouse gas emissions, comprising: an applicant registration step, etc., of providing a UI (User Interface) to a first terminal of the applicant for the applicant to input and apply application documents including at least a project plan for the target project as data, and accepting and registering the application document data submitted through the UI from the first terminal; a greenhouse gas emission calculation step, etc., of calculating greenhouse gas emissions for the target project based on the application document data in accordance with a predetermined first methodology and presenting the results of the calculation on the first terminal 2; and a methodology module management step, etc., of managing and operating the first methodology and a predetermined second methodology related to the screening process for the target project as modules, respectively. and a review support step of providing a UI to a second terminal of the reviewer to assist the reviewer in reviewing the target project based on the data of the application documents in accordance with a review process using the second methodology.

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