Adaptive Monitoring Method for the Operation Status of Centrally Installed Switchgear Based on RFID and Finite Difference Time-domain Algorithm
DOI:
https://doi.org/10.13052/dgaej2156-3306.40568Keywords:
Centrally installed switchgear, RFID, finite difference time-domain algorithm, temperature and humidity, monitorAbstract
Centrally installed switchgear plays an important role in power system distribution. However, traditional manual monitoring methods have shortcomings in reliability, accuracy, and real-time monitoring of the temperature and operating status of switchgear. Therefore, a temperature monitoring system for radio frequency identification switchgear is designed to track temperature and humidity data in real-time and transmit it to cloud servers for daily management and fault diagnosis. In addition, the study proposes an improved monitoring strategy using the time-domain finite difference method. This strategy combines derivative and Fourier transform to capture and convert signals and creates a mathematical model with Support Vector Machine (SVM) to distinguish interference signals. The Lagrange function method is used to accurately obtain interference signals for wide-area interference monitoring. These experiments confirm that the research method exhibits excellent stability in processing interference signals, with minimal fluctuations, ensuring the reliability of monitoring. This method can cover a wide frequency range of −18∼32 Hz and demonstrates advantages in detecting interference in wide domain signals. By increasing the threshold, the accuracy of fault detection increases, and the training sample achieves a 100% recognition rate. When the threshold is 3.1, the accuracy of the test sample is the highest, reaching 98.3%, which can effectively achieve fault warning. The research method has improved the automation level of centrally installed switchgear monitoring, thereby enhancing the stability and reliability of the power system.
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