A Smart Energy Meter Error Data Processing Method Based on Edge Computing

By employing an edge computing-based method for processing error data from smart meters, and utilizing adaptive thresholds and improved algorithms, the accuracy and real-time performance issues of smart meter detection in low-voltage distribution networks have been addressed. This method enables efficient and accurate location and processing of abnormal meters, while reducing network pressure and computational complexity.

CN121705569BActive Publication Date: 2026-05-26BEIJING FORESTRY UNIVERSITY
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING FORESTRY UNIVERSITY
Filing Date
2025-11-19
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies for smart meter detection in low-voltage distribution networks suffer from insufficient detection accuracy, high false negative rates, poor real-time performance, difficulty in accurately locating hidden anomalies, high pressure on centralized data processing networks, and difficulty in effective operation on resource-constrained equipment.

Method used

An edge computing-based method for processing error data in smart meters is adopted. By calculating the total energy increment sequence, adaptive threshold, and state machine system, combined with an improved genetic optimization algorithm and an improved Tikhonov regularization method, data processing and error coefficient calculation are achieved.

Benefits of technology

It improves the sensitivity and accuracy of abnormal meter detection, reduces computational complexity and data transmission burden, enhances user privacy and security, and is suitable for resource-constrained embedded devices.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121705569B_ABST
    Figure CN121705569B_ABST
Patent Text Reader

Abstract

This invention discloses a method for processing error data of smart energy meters based on edge computing, belonging to the technical field of error data processing methods. The invention includes: S1, calculating the mean and standard deviation of the total energy increment sequence within a sliding window, defining a first-order autoregressive hysteresis correction term, setting an adaptive threshold, defining the state machine system state, and finding the computer increment sequence during inactive periods by constructing an inactive period criterion; S2, storing the filtered effective data increments, calculating the energy increment of each sub-meter, defining a continuous zero increment detection function, collecting effective rearranged data points by setting the meter failure detection window and parameters, and constructing an observation matrix X and an observation vector Y; S3, using an improved genetic optimization algorithm framework, calculating eigenvalues ​​and condition numbers, and iteratively obtaining optimal and distinct individuals; S4, determining the optimal regularization parameters using the L-curve method, and calculating the error coefficients of each energy meter using improved Tikhonov regularization.
Need to check novelty before this filing date? Find Prior Art