Multi-terminal collaborative modular power operation and maintenance method and system based on digital twinning
By constructing a global power topology map and graph neural network, the problems of data heterogeneity and timing inconsistency among multiple terminal devices in the power operation and maintenance system are solved, enabling cross-regional collaborative operation and maintenance, improving the accuracy and reliability of the system, and supporting power grid dispatching and predictive operation and maintenance.
Patent Information
- Application Number
- CN202511758483.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-03-13
AI Technical Summary
Existing power operation and maintenance systems suffer from heterogeneous data sources among multiple terminal devices, inconsistent timing, insufficient cross-regional collaboration capabilities, lack of self-learning capabilities, and lack of a global digital twin model. This leads to reduced accuracy and reliability of operation and maintenance, making it difficult to meet the needs of scheduling and predictive operation and maintenance.
A comprehensive power topology map of power energy sites is constructed. State propagation calculation and data correction are performed through graph neural networks to achieve unified time label alignment of multi-source data and cross-subsystem energy flow state coupling correction. Combined with a self-learning mechanism, model parameters are dynamically updated, and consistent digital twin data is output to a multi-terminal operation and maintenance platform.
It enables the automatic creation of device profiles across multiple terminal devices, enhances multi-terminal collaborative computing capabilities, automatically handles data heterogeneity and timing inconsistency issues, realizes cross-system status sharing and collaborative scheduling, and supports device health trend prediction and power grid dispatch.