Power supply station equipment status monitoring and evaluation system based on wireless network technology
Wei Chen, Guangzhi Zhao, Jia Wang, Baiyu Qian, Wenbo Dou · International Journal of Thermofluids · 2023
With the continuous development of the power industry and the acceleration of the process of intelligence, monitoring and analyzing the status of power supply equipment is crucial for ensuring power supply and safety. Traditional power monitoring systems still have certain problems in data transmission. Using wireless network technology (WNT) to detect and analyze the status of power supply station equipment can not only achieve real-time monitoring and remote control, improve equipment operation and management efficiency, but also achieve automated monitoring and analysis of equipment status, providing technical support for the intelligence of power supply station equipment. In order to verify the effectiveness of the WNT-based power supply station equipment status monitoring and analysis system, a comparative experiment was conducted with traditional wired network monitoring methods. The final experimental results show that the average feedback time for testing the WNT power supply station equipment status monitoring and analysis system is 7.71 seconds, which is 38.22 seconds shorter than traditional methods. The average fault location accuracy is 95.98%, which is 35.91% higher than traditional methods. The average management efficiency is 92.88%, which is 34.71% higher than traditional methods. Through testing data, it can be concluded that the power supply station equipment status monitoring and analysis system based on WNT has greater advantages than traditional power equipment monitoring methods.