Technical system for the automated collection, calculation, analysis and storage of CO2 emission data and ESG reports related to vehicles

Abstract

System for automated data collection, analysis and Provision of CO2 and ESG data (Environmental, Social, Governance) for vehicles characterized by that emission-relevant vehicle data from sensors, control units and diagnostic interfaces are recorded, processed and cryptographically secured in real time via a blockchain infrastructure, whereby the system creates a standardized ESG balance sheet which is stored as a digital, non-fungible token (NFT).

Description

[0001] The present invention relates to a technical system for the automated acquisition, calculation, analysis, and storage of CO2 emission data and ESG (Environmental, Social, Governance) reports related to vehicles. The aim of this invention is to create a complete, tamper-proof, and standardized infrastructure that captures real-time emission values, cryptographically secures them, and makes them available for tax, regulatory, and subsidy applications. The invention thus creates a new level of digital sustainability certification and, for the first time, enables a technically verifiable and transparent ESG data structure for the entire mobility sector.

[0002] The existing problem with current systems is that existing ESG and CO2 reporting systems are based on incomplete, static, or theoretical manufacturer data, which does not accurately reflect a vehicle's actual energy consumption, usage, and maintenance status. This makes subsidy calculations, tax processes, and sustainability assessments prone to errors and manipulation. Until now, a real-time link between actual vehicle sensor data, blockchain verification, and government processing has not existed. This invention closes this gap with an integrated, AI-supported system that automatically collects and verifies all relevant data and provides it in a legally compliant format.

[0003] The invention provides that all CO2, energy, and usage data from the vehicle's sensors and diagnostic interfaces (according to claim 1) are continuously recorded and stored as cryptographically secured digital reports on a blockchain. These reports are stored as so-called non-fungible tokens (NFTs), which serve as tamper-proof proof of a vehicle's actual emission values. Each measurement is verified by a unique sensor identification number (sensor ID) with a cryptographic checksum (according to claim 2), thereby ensuring the authenticity and immutability of the collected data. These checksums form the technical basis for the subsequent transfer to the blockchain data structure and prevent subsequent manipulation.

[0004] For intelligent data processing, the system uses an artificial intelligence (AI)-based evaluation unit which – according to claim 3 – is capable of analyzing driving profiles, energy consumption, battery status, and maintenance histories to generate dynamic ESG assessments and CO2 forecasts. Through the use of machine learning methods, the system can identify emission trends and predict future values. The results generated by the AI ​​are standardized, cryptographically signed, and stored in the form of a secure ESG report (according to claim 4), thus creating a fully digital, auditable, and internationally compatible sustainability report.

[0005] To protect personal information, all vehicle data is pseudonymized using zero-knowledge proofs (verification methods without disclosing sensitive data) (in accordance with protection claim 5). This ensures technical compliance with the General Data Protection Regulation (GDPR - Regulation (EU) 2016 / 679 on the protection of personal data), while maintaining the verifiability of the ESG data. Each generated ESG report also receives a unique transaction identifier (transaction ID) and a traceability chain (token tracking), which is stored in an audit-proof manner at the blockchain level (in accordance with protection claim 6). This results in complete transparency and traceability of all ESG-related transactions, as every transfer and modification is fully documented.

[0006] Furthermore, the system includes an interface for authorities and funding bodies (according to claim 7) through which ESG data can be automatically integrated into tax, regulatory, and funding systems. This application programming interface (API) enables direct and automated communication between vehicle systems, the blockchain database, and government accounting systems. This allows government agencies to verify CO2 data in real time and incorporate it into tax or funding calculations. As described in claim 8, the blockchain data structure ensures a tamper-proof history of all ESG data, checksums, and correction notes, which are permanently stored using cryptographic hash chains.

[0007] A key feature of the invention is the integration of a GreenTrustScore module (according to claim 9), which generates an objective sustainability assessment based on real emissions, maintenance, and usage data. This module calculates a numerical sustainability score that serves as an indicator of a vehicle's overall environmental performance. This GreenTrustScore can be integrated into ESG reports, sustainability analyses, or grant applications, thus forming a new, standardized metric within the ESG ecosystem.

[0008] Claim 10 stipulates that all collected and processed data must be stored in a structured certificate and verification architecture. This serves as a legally binding basis for ESG audits, sustainability reports, and grant settlements. This allows each ESG assessment to be technically verified and regulatory-compliant. Claim 11 supplements this structure with a multi-level access and authorization system that differentiates access to the stored data roles and grants only authorized actors, such as workshops, insurers, authorities, and vehicle owners, access to relevant datasets. Access is compliant with the GDPR and secured by cryptographic certificates.

[0009] Claim 12 describes a graphical visualization unit that displays CO2 values, ESG scores, energy consumption, and token transactions in real time. This user interface enables interactive monitoring of the collected and analyzed sustainability data. The graphical interface can be accessed both in the vehicle via the on-board display and via cloud-based dashboards and mobile devices. It offers an intuitive presentation of ESG information and allows trends, ratings, and statements to be tracked visually without delay.

[0010] The functionality of the invention results from the interplay of all described claims. All vehicle sensors, including the on-board diagnostics (OBD2), transmit energy consumption data, emission values, driving profiles, and maintenance histories to the ESG data system (backend) in real time. There, the data is automatically validated, analyzed by AI, converted into standardized ESG structures, and then cryptographically signed. The blockchain secures the data, the programming interface enables external access, and the visualization unit presents the results in a user-friendly manner. Authorized parties, including authorities and auditors, can access the ESG reports via the API, with all data transmissions being encrypted and compliant with data protection regulations.

[0011] The Fig.The system's functionality is illustrated in a schematic diagram. It shows the data flow between vehicle sensors, AI analysis, the blockchain system, and the visualization unit. Emissions and consumption data are captured by vehicle sensors, transmitted to the AI ​​unit, processed, analyzed, and converted into sustainability values. The processed data is then cryptographically signed, stored on the blockchain, and documented as NFTs. The visualization unit graphically displays the ESG data in real time, showing CO2 values, energy consumption, ESG scores, and token transactions, and allows users to interactively evaluate and compare this data.

[0012] This invention creates a comprehensive, tamper-proof, and future-proof system architecture for collecting, processing, and visualizing CO2 and ESG data in the automotive sector. It combines real-time sensors, artificial intelligence, blockchain technology, data protection procedures, and visualization in a single technical solution. The result is a globally innovative, legally compliant ESG data platform that meets the requirements of authorities, industry, and society alike, and serves as a benchmark for future digital sustainability architectures in the mobility sector. QUOTES INCLUDED IN THE DESCRIPTION

[0000] This list of documents cited by the applicant was automatically generated and is included solely for the reader's convenience. The list is not part of the German patent or utility model application. The DPMA accepts no liability for any errors or omissions. Cited patent literature

[0000] EP 2016 / 679

[0005]

Claims

[1] System for automated recording, analysis and Provision of CO2 and ESG data (Environmental, Social, Governance) for vehicles characterized by , that emission-relevant vehicle data from sensors, control units and diagnostic interfaces are recorded, processed and cryptographically secured in real time via a blockchain infrastructure, whereby the system creates a standardized ESG balance sheet which is stored as a digital, non-fungible token (NFT). [2] System according to claim 1, characterized by , that each CO2 measurement is verified via a sensor ID with cryptographic checksum and delegated to the blockchain ledger to ensure the integrity of the measurements and to prevent manipulation. [3] System according to claim 1 or 2, characterized bythat the recorded emission data are evaluated via an AI-supported analysis module, which creates dynamic ESG assessments and CO2 forecasts based on driving profile, energy consumption, maintenance status and vehicle type. [4] System according to any one of the preceding claims, characterized by that the processed CO2 data is transferred into standardized ESG reports, which are cryptographically signed and stored as NFT reports at the blockchain level. [5] System according to any one of the preceding claims, characterized by that personal vehicle data is pseudonymized using zero-knowledge proofs to ensure GDPR-compliant processing and transfer of ESG data. [6] System according to any one of the preceding claims, characterized bythat for each ESG report a unique transaction ID and traceability chain (TokenTracking) is created, which is stored at blockchain level in an audit-proof manner and enables full tracking of all CO2 and ESG certificates. [7] System according to any one of the preceding claims, characterized by , that the ESG report can be integrated into tax or funding systems via an API (Application Programming Interface) to enable automated government audits, CO2 accounting or funding applications. [8] System according to any one of the preceding claims, characterized by that the blockchain data structure ensures an audit-proof history of all ESG data, checksums and correction notes, with every change being traceably documented via cryptographic hash chains. [9] System according to any one of the preceding claims, characterized by, that a GreenTrustScore module is integrated, which calculates the sustainability rating of a vehicle based on real emissions, maintenance and usage data and links it to the ESG reports. [10] System according to any one of the preceding claims, characterized by that the processed data is stored in a certificate or verification structure, which serves as a legally sound basis for grant settlements, ESG audits and sustainability reports. [11] System according to any one of the preceding claims, characterized by that access to ESG and CO2 data is regulated via multi-level access rights and cryptographic authorization procedures, enabling workshops, authorities, insurers and vehicle owners to selectively and GDPR-compliantly access relevant sub-areas. [12] System according to any one of the preceding claims, characterized by, that a visualization unit is provided which graphically displays and updates CO2 values, ESG scores, energy consumption and token transactions in real time, with the data also being accessible via mobile devices or cloud-based dashboards.

Images