2025 Vol.8 Aug.N04

• Title: Application of Edge Computing in Real-Time Monitoring System for Industrial Electrotechnical Equipment
• Name: Ying Lang ，Leiguang Liu
• Company: College of Aeronautical Engineering, Beijing Polytechnic University, Beijing 100176, China
• Abstract:

  Conventional real-time monitoring systems for industrial electrotechnical equipment mostly rely on centralized architectures, and the lack of de-duplication of alarm information leads to a large amount of computation, which affects the monitoring accuracy of the system. In this regard, the application research of edge computing in real-time monitoring system of industrial electrical equipment is proposed. The AD7606 chip and signal conditioning circuit are used to realize three-phase electrical signal detection and environmental signal acquisition, the signal processing and control part is completed by the DSP chip to calculate the power quality parameters, the FPGA is responsible for the parallel acquisition and transmission of multi-sensor data, and the RAM enhances the data storage function to meet the real-time requirements. The transaction database is constructed by sliding window and discretization, and FP-tree is used to mine frequent itemsets and association rules, and predict the failure probability by combining real-time window and historical pattern similarity matching. Receive and classify equipment data at the edge node, and judge abnormalities by threshold and trend analysis for analog quantities, and compare actual and normal states for switching quantities. The Simhash algorithm is used to de-duplicate the alarm information, and the determination information is transmitted to the processing module for recording, realizing the remote monitoring and management of the equipment. In the experiment, the proposed method is verified for monitoring accuracy. It is clear from the test and comparison results that when the proposed system is used for real-time monitoring of equipment, the false alarm rate is mainly concentrated in the range of 1.0% - 2.0%, which has a more ideal monitoring effect.

  
  

• Keyword: edge computing; industrial field; electrical equipment; real-time monitoring; system design;
• DOI: 10.12250/jpciams2025090814
• Citation form: Ying Lang,Leiguang Liu.Application of Edge Computing in Real-Time Monitoring System for Industrial Electrotechnical Equipment[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.59-63

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