LI Songlei, ZHANG Baoqiang, SU Ge, et al. Application of Shi-tomasi Corner Detection Algorithm in Mechanical Characteristic Test of High Voltage Circuit Breaker[J]. High voltage apparatus, 2025, 61(8): 67-73.
DOI:
LI Songlei, ZHANG Baoqiang, SU Ge, et al. Application of Shi-tomasi Corner Detection Algorithm in Mechanical Characteristic Test of High Voltage Circuit Breaker[J]. High voltage apparatus, 2025, 61(8): 67-73. DOI: 10.13296/j.1001-1609.hva.2025.08.009.
Application of Shi-tomasi Corner Detection Algorithm in Mechanical Characteristic Test of High Voltage Circuit Breaker
The mechanical characteristic test of operating mechanism can effectively diagnose the mechanical faults of high-voltage circuit breaker. The commonly used mechanical characteristic testing methods include such types as installation of linear displacement sensors and angle sensors. Both types of the sensors need to be firmly installed on the operating mechanism
and different circuit breakers may require different fixtures and sensors
resulting in weak universality. Moreover
fixed installation may increase the probability of mechanical failure. At present
the use of noncontact image recognition methods to test the mechanical stroke of high-voltage circuit breakers has received widespread attention from researchers. In this paper a non-contact measurement method is introduced. The diagonal sector markers with reflective function are pasted at the position of the movable pulling rof of operating mechanism of high-voltage circuit breaker. The markers are captured by a high-speed camera during the operation process of the high-voltage circuit breaker. The Shi-tomasi corner detection method is used to identify the center point coordinates of the sector markers in each image
calibrate the physical distance and pixel distance
thus obtaining a set of contact movement coordinate points and drawing the contact movement curve. The results show that compared with the circular marker image recognition method
this research method is simple
efficient with reliable result. Compared with traditional sensors
the mechanical travel curve obtained by this method is smoother and truly reflects the mechanical characteristics of the operating mechanism. This method has a good prospect for promoting the application of mechanical characteristic test in online monitoring outage maintenance of circuit breaker.