Blockchain-based carbon energy flow integration trusted perception and traceability system and method
By constructing a carbon energy flow map and utilizing an improved Graphormer model and algorithm, the problems of unified perception and path identification of energy flow data were solved, achieving high-precision carbon emission source tracing and improving the reliability and stability of the tracing results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANOVER SMART ENERGY TECH (INNER MONGOLIA) CO LTD
- Filing Date
- 2026-03-26
- Publication Date
- 2026-06-19
AI Technical Summary
Existing carbon emission accounting and traceability methods are inadequate in terms of unified perception, temporal consistency, spatial correlation, and path identification of energy flow data, resulting in inaccurate carbon emission calculation results. Furthermore, existing blockchain evidence storage methods lack deep integration and fail to reflect the continuity and correlation of energy flow topology, thus reducing the credibility and stability of traceability results.
By constructing a carbon energy flow graph, and utilizing the improved chain anchor cataloging mechanism, Copula dependency modeling algorithm, and Persistent Homology algorithm in the Graphormer model, energy flow data is uniformly modeled and associated to generate carbon energy sequences, chain anchor graphs, carbon energy coupling parameters, and carbon transmission paths. Furthermore, reliable verification and chain-like data generation are performed to achieve reliable output of carbon traceability results.
It improves the ability to characterize carbon energy flow structure and the accuracy of path modeling, enhances the accuracy of carbon transport relationships and the reliability of source tracing results, and ensures the accuracy and stability of carbon tracing results.
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