A power energy consumption monitoring method and system of an electric energy metering box

By combining partitioning strategies and graph neural networks, refined monitoring of the branch status within the power metering box is achieved, enabling rapid fault location. This solves the problems of crude monitoring methods and network pressure in existing technologies, and improves the accuracy of fault location and the real-time performance of data processing.

CN122194044APending Publication Date: 2026-06-12ZHEJIANG ZHENGRUN INTELLIGENT ELECTRIC CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG ZHENGRUN INTELLIGENT ELECTRIC CO LTD
Filing Date
2026-05-14
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

The existing monitoring methods of electricity metering boxes are crude and cannot quickly distinguish between branch circuit faults and the impact of adjacent circuits. In addition, the massive amount of real-time data uploaded puts pressure on the communication network and cannot meet the real-time requirements.

⚗Method used

The monitoring area is divided by a zoning strategy. The monitors cross-collect power parameters of adjacent branches and form a zoning monitoring network through the Internet of Things protocol. The master node performs data aggregation and preliminary analysis, combines graph neural network to identify cross-zone anomalies, and performs global fusion analysis and fault tracing through cloud server.

🎯Benefits of technology

It enables refined and highly reliable monitoring of the branch status within the power metering box, quickly locates anomalies and root causes of faults, reduces network transmission load, improves the real-time performance of data processing, and provides predictive maintenance recommendations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of electric energy metering box electric power energy consumption monitoring method and system, belong to electric power energy monitoring technical field.The present monitoring mode is extensive, abnormal positioning is inefficient, network pressure is big, and the problems are solved, including: according to the division strategy, divide monitoring area, for each branch configuration monitor and cross collection adjacent branch electric power parameter;Grouping subarea monitoring network and selecting main node, monitor carries out edge pretreatment and uploads data to main node, and main node converges and analyzes and uploads cloud server;Cloud server is analyzed by global AI model fusion, locates exception and root branch and outputs alarm.The system corresponds to include subarea, monitor, monitoring network construction etc.Module.The application realizes electric energy metering box branch refinement monitoring, improves abnormal positioning efficiency, reduces network load, can also realize predictive maintenance, and is suitable for electric energy metering box energy consumption monitoring scene.
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