Design and Application of Intelligent Inspection System for Automated Operation and Maintenance of Energy Meters

Zhang Xinrui, Jin Xurong, Cheng Zhiqiang, Li Yunpeng, Fan Bo, Chen Xu, Wang Xiangwei, Wang Mingqiang, ilhan Garip

Abstract


To ensure the stable and efficient operation of maintenance activities, it is essential to continuously monitor and maintain the performance indicators of energy meters so that they remain within normal operational parameters. Based on the .NET MVC (Model–View–Controller in the Microsoft .NET framework) architecture and the command–query duty separation read–write separation design pattern, an electric energy meter automatic operation and maintenance platform is developed. According to the practical requirements of inspection systems used in electric energy meter operation and maintenance, several functional modules are integrated into the platform. These include the electric energy meter number identification module, the temperature infrared detection module, and the line detection module, enabling key tasks such as meter number reading, temperature measurement, and line monitoring. After applying the intelligent inspection system to the automated operation and maintenance process of electric energy meters, experimental results demonstrate effective performance. When the spacing from the first measurement point is 25 cm and 0 cm, the no-load voltage values are 0.633 V and 1.269 V, while the load voltage values are 0.579 V and 1.237 V based on regulator voltage variation. The results show that the success rate of electric energy meter fault inspection reaches 100%. The system demonstrates good stability, linearity, and reliability, confirming the effectiveness of the proposed intelligent inspection approach.

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v16i1.15239.g9164

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