一种电力抄表类数据异常自动识别与校验方法
By employing a dual verification mechanism at both the protocol and business layers in the electricity meter reading data, combined with cluster analysis and equipment self-inspection reports, real-time verification and automated fault repair of electricity meter reading data are achieved. This solves the problems of delayed data anomaly detection and low fault location efficiency, and improves the accuracy of data collection and the reliability of power grid operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN SIJI TECHNOLOGY CO LTD
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, electricity meter reading data is susceptible to interference or equipment failure during transmission and lacks an instant verification mechanism, resulting in incomplete or incorrect data content, delayed detection of abnormal data, and inability to quickly locate the root cause of the fault, thus affecting the timeliness and accuracy of data quality management.
A dual real-time verification mechanism combining the specification layer and the business layer is adopted. Cluster analysis is performed through singular value decomposition and linear regression. Combined with the fault case library and equipment self-inspection reports, automated fault location and repair are achieved. A streaming computing framework is constructed for real-time verification and genetic algorithm optimization.
This enables source-end quality control of electricity meter reading data, rapid location of fault roots, improved data collection accuracy and business system reliability, and the formation of a virtuous cycle of proactive repair, real-time verification, and adaptive optimization, ensuring the stability and reliability of power grid operation decisions.
Smart Images
Figure CN122131223B_ABST