Design of intelligent anti electricity theft monitoring device based on ARM computing modeling

Abstract Electricity theft increases the line loss rate of the power grid, causing a greater burden to the power grid company. At the same time, in terms of social impact, electricity theft disrupts the normal order of electricity consumption and has a bad effect on society and electricity-using enterprises. Most of the methods of stealing electricity are by affecting the metering method of the electric energy meter or privately connecting the wires to make the electric energy less metered or not metered, which not only destroys the power metering device but also seriously affects the stable operation of the power grid. The main purpose of this paper is to research the design of an intelligent anti-stealing monitoring device based on ARM. In this paper, the overall scheme of the anti-stealing device involved is designed through the analysis of the characteristics of electricity stealing. At the same time, the main components of the system and the work to be completed by each part of the module are pointed out. Finally, the software flow of the system is designed, and the whole system is tested and analyzed. Experiments show that the on-site verification of each abnormal power meter is consistent with the software display results, indicating that the anti-power stealing monitoring device has a high accuracy rate in power stealing monitoring, has a good on-site power stealing monitoring effect, and accurately monitors abnormal tables and abnormal conditions at the same time, which can reduce the line loss rate, which proves the feasibility of the device.

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Publication Details

Journal
International Journal of Emerging Electric Power Systems
Published
2025-03-17
DOI
https://doi.org/10.1515/ijeeps-2024-0404
Primary Topic
Electricity Theft Detection Techniques
Type
article
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article

Design of intelligent anti electricity theft monitoring device based on ARM computing modeling

Shilin Zhang
International Journal of Emerging Electric Power Systems
Electricity Theft Detection Techniques
article

Design of intelligent anti electricity theft monitoring device based on ARM computing modeling

Shilin Zhang
article en

Abstract

Abstract Electricity theft increases the line loss rate of the power grid, causing a greater burden to the power grid company. At the same time, in terms of social impact, electricity theft disrupts the normal order of electricity consumption and has a bad effect on society and electricity-using enterprises. Most of the methods of stealing electricity are by affecting the metering method of the electric energy meter or privately connecting the wires to make the electric energy less metered or not metered, which not only destroys the power metering device but also seriously affects the stable operation of the power grid. The main purpose of this paper is to research the design of an intelligent anti-stealing monitoring device based on ARM. In this paper, the overall scheme of the anti-stealing device involved is designed through the analysis of the characteristics of electricity stealing. At the same time, the main components of the system and the work to be completed by each part of the module are pointed out. Finally, the software flow of the system is designed, and the whole system is tested and analyzed. Experiments show that the on-site verification of each abnormal power meter is consistent with the software display results, indicating that the anti-power stealing monitoring device has a high accuracy rate in power stealing monitoring, has a good on-site power stealing monitoring effect, and accurately monitors abnormal tables and abnormal conditions at the same time, which can reduce the line loss rate, which proves the feasibility of the device.

International Journal of Emerging Electric Power SystemsVol. 26(6)
State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 96%
Electricity Theft Detection Techniques
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Design of intelligent anti electricity theft monitoring device based on ARM computing modeling — Shilin Zhang · International Journal of Emerging Electric Power Systems (2025) | TGRS Research Map | TGRS