Design of Edge Computing Device with High and Low Speed Acquisition Ability for Circuit Breaker Mechanical Fault Diagnosis

Mechanical fault diagnose of circuit breakers need raw data from multiple sources, including high frequency signals such as current and vibration, as well as low frequency signals such as temperature and displacement. At present, unified edge devices for this purpose are lacking. Therefore, this paper presents an edge computing device with high and low speed acquisition ability. Initially, the fault signals of circuit breakers are analyzed, followed by the design of the edge computing device. Subsequently, both hardware design and software programming are elaborated. Finally, three experiments are carried on to verify the proposed device. In the signal generator test, 10 kHz and 100 Hz rectangular wave signals are obtained successfully, thereby verifying its accuracy and stability under high speed and low speed acquisition conditions. In the contactor test, instantaneous current fluctuations and displacement changes of the circuit breaker are acquired accurately, demonstrating its ability of data extraction. In the 252 kV vacuum circuit breaker test, the displacement of the circuit breaker is measured, which validate the device's ability to monitor actual circuit breakers effectively. Consequently, this device can obtain key operating data of the circuit breaker in real-time, perform local feature extraction, and upload the originally intercepted data to the cloud for further fault diagnosis.