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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Design and Optimization of Digital Precision Operation and Maintenance System for Metering Box Based on Internet of Things

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DOI: 10.25236/iiicec.2025.002

Author(s)

Bingyi Wei, Juan Du, Tenghao Li, Hefeng Zhang, Lu Wang, Shixin Song

Corresponding Author

Bingyi Wei

Abstract

This article focuses on the design and optimization of digital precision operation and maintenance system of metering box based on IOT (Internet of things). Under the background of intelligent transformation of power system, the disadvantages of traditional metering box operation and maintenance mode are prominent. In order to achieve efficient operation and maintenance, this article designs the overall architecture of the system by using hierarchical architecture, covering the perception layer, network layer, platform layer and application layer, and carefully designs each functional module, and uses algorithms such as statistical analysis and evaluation model to deeply mine data. At the same time, this article puts forward optimization strategies for data processing speed, storage efficiency and communication stability, introduces measures such as distributed computing framework, hierarchical data storage and redundant communication links, and optimizes the operation and maintenance process. The results show that the data processing time is greatly shortened after optimization. In the tenth batch of data processing, the processing time is reduced from 80 seconds before optimization to about 30 seconds. The average time of fault handling is significantly reduced, taking the measurement error fault as an example, from 5 hours to 2 hours. This series of achievements effectively improve the system performance and operation and maintenance efficiency, and provide a scientific and efficient solution for the operation and maintenance of power system metering box.

Keywords

Internet of Things; Metering Box; Digitization; Accurate Operation and Maintenance; System Design