Research on coal conveyor belt control system based on electrical automation
The traditional conveyor belt control system often leads to low production efficiency due to weak fault detection ability and slow response.In this paper,a coal conveyor belt control system based on electrical automation is established.Through global adaptive high dynamic range imaging,Canny edge detection and Hough transform algorithm,the brightness and clarity of image processing are improved,and the deviation problem of conveyor belt is effectively detected and accurately located.The experimental results show that the fault detection accuracy of this method reaches 99.45%,which significantly improves the reliability and automation level of the system.The research results can provide theoretical support for the design and optimization of conveyor belt control system.
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