Abstract
In order to overcome the shortcomings of manual on-site confirmation of switch position status in smart substations, realize automatic identification of circuit breaker and isolating switch positions, and improve the remote monitoring capability of switchgear in substations, the paper designs and studies a set of remote substations based on bilateral filtering dissipation algorithm Switch equipment state image recognition system. The system takes SIFT, image gravy method, binary method, Hough transform and other theoretical algorithms as the core, and uses high-speed DSP chip as the platform to divide and combine the switch images collected by the CCD camera. Status identification, and then upload the monitoring picture to the remote monitoring room via Ethernet. Invested in experimental research and found that the identification system is accurate and fast to distinguish the switch status, which can greatly improve the safety and efficiency of switchgear monitoring, and has a high promotion value.
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