Energy storage power station equipment state monitoring and maintenance decision-making system
By building a topological overview and multi-source monitoring module for energy storage power station equipment, combining health status compensation and risk feature analysis, dynamically adjusting the monitoring cycle, and generating maintenance blind spot warning maps, the decentralized management problem of energy storage power station equipment status monitoring is solved, achieving accurate equipment status assessment and scientific maintenance decision-making, and improving the stability and safety of equipment operation.
Patent Information
- Application Number
- CN202511326221.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-17
- Publication Date
- 2025-10-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The equipment status monitoring of energy storage power stations suffers from the fragmented electrical connection relationship of equipment under the decentralized management mode and the lack of unified topological correlation analysis, which leads to difficulties in troubleshooting, incomplete data collection, reliance on experience for maintenance, and problems of untimely or excessive maintenance.
The equipment topology overview module is constructed to generate a topological overview of electrical connection parameters and operating condition parameters. The multi-source monitoring module collects equipment status data streams in real time. The health status compensation module compensates for data loss. The monitoring cycle decision module dynamically adjusts the monitoring frequency. The risk feature analysis module analyzes the fault propagation path. The maintenance blind spot warning module generates warning maps to achieve accurate assessment of equipment health status and scientific maintenance decision-making.
It achieves global monitoring of energy storage power station equipment, quickly troubleshoots faults, avoids the impact of data loss, and dynamically adjusts maintenance strategies, improving the stability and safety of equipment operation and reducing operating costs.