Operation data analysis method for compact multi-loop feed cabinet
By leveraging the collaborative analysis of multi-parameter fusion sensing terminals, edge computing nodes, and cloud servers, combined with the digital twin model of the human-computer interaction terminal, the problems of insufficient data acquisition and multi-circuit coupling in compact multi-circuit power supply cabinets were solved, enabling efficient fault identification and location.
Patent Information
- Application Number
- CN202511132375.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-13
- Publication Date
- 2025-11-14
AI Technical Summary
Existing methods for analyzing power supply cabinet operation data are not targeted enough and cannot be adapted to the high circuit density and complex electromagnetic environment of compact multi-circuit power supply cabinets. The problem of multi-circuit data coupling is prominent, and the lack of spatial dimension information leads to low efficiency in fault identification and location.
The system employs a multi-parameter fusion sensing terminal to comprehensively collect data, edge computing nodes to perform preprocessing, and a cloud server to build a comprehensive evaluation model. Combined with the digital twin model of the human-computer interaction terminal, it enables multi-dimensional data analysis and fault location.
It improves the targeting and accuracy of data acquisition, decouples multi-loop data interference, quickly locates fault positions, and enhances the efficiency of fault identification and location.
Smart Images
Figure CN120951175A_ABST