Design and Implementation of Abnormal Diagnosis System for High Voltage Electrical Equipment Based on Integrated Fiber Optic Communication Technology
Aiming at the problems of poor real-time and low accuracy in abnormal diagnosis of high-voltage electrical equipment,an intelligent diagnosis system integrating optical fiber communication technology is proposed.In this system,optical fiber sensors are used to collect the state data of equipment such as temperature and vibration in real time,and the deep learning model is used to identify and diagnose anomalies.Combined with knowledge map,virtual reality and other technologies,remote monitoring and decision-making are realized.The experimental results show that the diagnostic accuracy of the system for anomalies such as partial discharge and winding hot spots is above 90%,and the average diagnostic delay is less than 60 ms,which greatly improves the diagnostic efficiency and reliability.
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