基于物联网的电能表数据采集方法及系统
By introducing an event-driven mechanism and compressed sensing algorithm into the electricity meter data acquisition system, and combining generative adversarial networks for adaptive switching and edge reconstruction, the contradiction between communication resource constraints and data accuracy requirements in the electricity data acquisition system is resolved, achieving efficient and accurate power grid status perception.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIANJIN RUIXINYUAN INTELLIGENT TECH CO LTD
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing power data acquisition systems suffer from structural problems between communication resource constraints and data accuracy requirements, resulting in low acquisition efficiency, massive redundant data congesting the channel, and slow response of the edge side to transient abnormal events.
An event-driven mechanism is adopted to adaptively switch between steady-state operation mode and transient disturbance mode. A compressed sensing algorithm is used for sparsification in steady state and high-fidelity sampling in transient state. Generative adversarial networks are combined to reconstruct data and encapsulate semantics at the edge smart gateway.
It achieves significant compression of steady-state data volume under limited communication bandwidth, avoids loss of transient information, ensures rapid response to abnormal power grid events, and improves the efficiency and accuracy of data acquisition.
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Figure CN122027669B_ABST
Abstract
Citation Information
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