| Summary: | A method for detecting coal flow on a belt conveyor based on the two-dimensional laser is proposed in this paper to tackle the complications of poor accuracy and real-time detection of coal flow on a belt conveyor. This method collects the point cloud data of the conveyor belt surface and the lateral profile of the coal flow using a two-position laser probe and transmits the data with the industrial Internet to assure the real-time and reliability of the data transmission. The upper computer software of the detection system is designed using LabVIEW software. The improved wavelet threshold algorithm designed by MATLAB is employed for data preprocessing to enhance measurement accuracy. The results demonstrate that the method can accurately detect the coal flow of the belt conveyor, and the detection accuracy reaches more than 95%, presenting the advantages of real-time performance and high accuracy. It has broad application prospects in coal, mines, ports, electric power, and other fields.
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