基于大数据的智能电表状态数据标注方法及系统
By constructing a smart meter status data scenario association network and generating dynamic annotation rules, the problem of inaccurate annotation caused by the complexity and dynamic changes of power grid operation scenarios in existing technologies is solved, achieving higher annotation accuracy and adaptability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING BOZHONG HUIZHI TECH CO LTD
- Filing Date
- 2025-09-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for labeling smart meter status data fail to fully consider the complexity and dynamic changes of power grid operation scenarios, resulting in a lack of accuracy and reliability in the labeling results.
A smart meter status data scenario association network is constructed. By combining the continuous periodic status data of the meter with the characteristics of the power grid operation scenario, dynamic annotation rules are generated. Cross-cycle collaborative annotation improves the accuracy and adaptability of annotation.
This improves the accuracy and comprehensiveness of smart meter status data labeling, enabling it to adapt to dynamic changes in power grid operation and ensuring the effectiveness and reliability of the labeling results.
Smart Images
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