AI-supported system for the interoperable management of sustainability certificates

Abstract

(Main claim) System for AI-supported, interoperable management of sustainability certificates, including: • a central database for storing and structuring sustainability documentation in various formats, especially ESG reports, EPDs, CO2 balances and certificates, • a processing unit set up for the automatic detection, analysis and assignment of evidence to projects, organizations or products, • an AI module that detects missing or contradictory information and performs plausibility checks, • a user interface to display existing and missing evidence as well as the degree of compliance with sustainability requirements, • Interfaces for integration with external systems, especially digital building models (BIM) and company databases.

Description

Technical field

[0001] The invention relates to the field of digital data processing and information systems. In particular, it relates to an AI-supported system that automatically captures, structures, verifies, and manages sustainability evidence from various sources on a project-specific basis. Background of the invention

[0002] Sustainability documentation such as ESG reports, EPDs, CO2 balances or supplier declarations is increasingly required - both in the construction industry and in business practice.

[0003] This evidence is currently available in different formats (PDF, Excel, XML, IFC) and in different locations (local, in emails or in isolated IT systems).

[0004] As a result, there is no unified, automated and interoperable solution that consistently aggregates, verifies and provides data. Object of the invention

[0005] The invention aims to provide a system that automatically recognizes, structures, and stores sustainability evidence in an interoperable data environment.

[0006] The system should be able to link data with digital building models (BIM) and other external systems to make the documentation usable and comparable across projects. Solution to the task

[0007] The task is solved by an AI-supported system that includes the following functions: 1. Central data collection: Sustainability certificates are recorded in a central database. ESG documents, EPDs, CO2 balances, certificates and other evidence are automatically assigned to the relevant projects or organizations. 2. Automatic detection and plausibility check: An integrated artificial intelligence (AI) analyzes incoming documents, recognizes the type and checks the completeness of the information.

[0008] Missing or contradictory information is automatically highlighted. 3. Interoperability and system integration: The system has interfaces (APIs) to common BIM systems and other data sources. This allows sustainability assessments to be linked to digital building models and project management systems. 4. Data structure and storage: All evidence is stored in a uniform, machine-readable structure (e.g. JSON / XML). This ensures long-term, audit-proof and standardized storage. 5. Visualization and user interface: A graphical user interface displays available and missing evidence. The system transparently displays progress and levels of compliance with sustainability requirements. Advantages of the invention • Complete overview of all sustainability certificates in one central environment • Automatic assignment and plausibility check by AI • Interoperability with BIM and enterprise systems • Reduction of errors and manual work • Uniform, verifiable and exportable database Example of implementation

[0009] In a typical use case, the system is used in a construction project.

[0010] A building owner uploads ESG and EPD certificates from his suppliers into the system.

[0011] The AI ​​automatically recognizes the document type, assigns it to the corresponding component and project section, and checks whether mandatory information (e.g., CO2 value, material origin) is present.

[0012] The system then creates a structured overview that can be exported or shared with external testing systems at any time. Summary (Abstract, for publication)

[0013] RESET - AI-powered system for the interoperable management of sustainability certificates.

[0014] The invention describes a system that automatically recognizes, structures and stores sustainability evidence such as ESG reports, EPDs or CO2 balances in an interoperable data environment.

[0015] Artificial intelligence and standardized interfaces link evidence with digital building models (BIM), creating a continuous, verifiable and comparable verification process.

Claims

[1] (Main claim) System for AI-supported, interoperable management of sustainability certificates, comprising: • a central database for storing and structuring sustainability documentation in various formats, especially ESG reports, EPDs, CO2 balances and certificates, • a processing unit set up for the automatic detection, analysis and assignment of evidence to projects, organizations or products, • an AI module that detects missing or contradictory information and performs plausibility checks, • a user interface to display existing and missing evidence as well as the degree of compliance with sustainability requirements, • Interfaces for integration with external systems, especially digital building models (BIM) and company databases. [2] System according to claim 1, characterized bythat the processing unit automatically adjusts weights, classifications and assignments of evidence using a self-learning algorithm to improve data quality. [3] System according to any one of the preceding claims, characterized by that the stored evidence is stored in an interoperable, machine-readable format, in particular XML, JSON or IFC, and is exportable via standardized protocols. [4] System according to any one of the preceding claims, characterized by that the interfaces (APIs) enable automated data transfer between sustainability certificates and BIM models, with project data, material information and CO2 values ​​being synchronized bidirectionally. [5] System according to any one of the preceding claims, characterized bythat the user interface includes a graphical progress indicator, which displays the status of compliance per project, stakeholder or category in percentage values. [6] System according to any one of the preceding claims, characterized by that the system is cloud-based and supports multi-user management with different access rights and roles. [7] System according to any one of the preceding claims, characterized by that the system enables blockchain or comparable tamper-proof storage of sustainability certificates, thereby ensuring verifiable data integrity. [8] System according to any one of the preceding claims, characterized by , that the AI ​​module is set up for the automatic categorization of document types, identifying and grouping documents by type (e.g. certificate, balance sheet, supplier declaration) and source (e.g. manufacturer, testing laboratory). [9] System according to any one of the preceding claims, characterized by that a notification and reporting function is implemented which automatically informs users about changes, missing evidence or newly detected data discrepancies. [10] System according to any one of the preceding claims, characterized by that an export module is provided which generates a digital, transferable sustainability dossier from the stored and verified evidence, which can be used to pass it on to auditing bodies or investors. [11] System according to any one of the preceding claims, characterized by that the system has a learning component that continuously improves the recognition and classification accuracy through repeated use. [12] System according to any one of the preceding claims, characterized bythat it can manage both company-internal and project-specific sustainability certificates and ensures data protection through role-based access control.