基于多参融合的智能综合配电箱故障预测方法及系统
By establishing source data quality description records and event anchor point segmentation, combined with physical sequence constraint templates, the event-aligned state sequence is reconstructed, and the deviation from the actual response is decomposed. This solves the problem of identifying slowly developing faults in integrated distribution boxes and improves prediction accuracy and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU SUTUO COMM TECH
- Filing Date
- 2026-05-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are unable to effectively identify slowly developing faults in integrated distribution boxes, such as loose terminals, poor contact, reduced heat dissipation capacity, and unbalanced module load sharing. Furthermore, multi-source asynchronous data processing can easily lead to false alarms and missed alarms, affecting the stability of predictions.
By establishing source data quality description records, extracting running events as event anchors, segmenting event fragments, estimating channel delay and alignment reliability based on physical order constraint templates and data quality description records, reconstructing event alignment state sequences, calculating pre-condition description vectors, and decomposing actual response deviations for fault early warning.
It improves the sensitivity and early warning stability of identifying slowly evolving faults, reduces false positives, enhances the adaptability of the method, and is applicable to different sites and data acquisition conditions.
Smart Images
Figure CN122218374B_ABST