Distribution network map model penetration method and system based on digital twinning
By using a digital twin-based distribution network diagram model integration method, and leveraging the power grid resource business platform and the power grid unified diagram SDK platform, the diagram model data is automatically acquired and verified. This solves the problems of low efficiency and poor accuracy in traditional distribution network diagram model management, and achieves data integration and consistency across different project stages.
Patent Information
- Application Number
- CN202611240992.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-17
- Publication Date
- 2026-09-29
AI Technical Summary
Traditional distribution network diagram management suffers from low efficiency due to manual processing, difficulty in ensuring data accuracy and consistency, difficulty in identifying inconsistent element types, abnormal topological connectivity, and missing model attributes, and difficulty in achieving data continuity across different project stages.
The distribution network map model integration method based on digital twins is adopted. The map model data with status labels is automatically obtained through the power grid resource business platform. Automatic verification and data format conversion are performed. Anomalies are identified by using the map element standard library, topology verification rules and model integrity rules. Diagnosis and repair are performed through graph neural network model. Data layer mapping and thematic map conflict arbitration are performed in combination with the power grid one map SDK capability sharing platform.
It enables efficient integration of model data across different project phases, improves data processing efficiency and accuracy, overcomes the limitations of manual inspection, ensures data accuracy and consistency, and addresses issues such as inconsistent primitive types, abnormal topological connectivity, and missing model attributes.