表箱识别方法、表箱识别装置、表箱识别系统和存储介质
By acquiring the signal quality parameters of the electricity meter and using a clustering algorithm to identify the meter box affiliation, the problem of insufficient accuracy and reliability of meter box identification in the existing technology is solved, and higher identification accuracy and real-time performance are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING SMARTCHIP SEMICON TECH CO LTD
- Filing Date
- 2025-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing meter box identification methods mainly rely on electrical quantity data such as voltage, current, power consumption, and resistance for similarity judgment, which reduces the accuracy and reliability of meter box identification because these data do not directly correspond to the physical location of the meters, and the electrical quantity data of meters in the same meter box may vary greatly.
By acquiring the signal quality parameters reported by each electricity meter based on the power line dual-mode communication protocol, and performing data preprocessing, the meter box identification algorithm (such as DBSCAN, K-Medoids, MCL clustering algorithm) is used to identify the meter box affiliation, and the identification results are updated at predetermined time intervals.
It improves the accuracy and reliability of meter box identification. The signal quality parameters are related to the distance to the meter, which can more accurately identify the ownership of the meter box. The accuracy of the identification results is continuously improved through iterative updates.
Smart Images
Figure CN120067882B_ABST