Research on the Application of Intelligent Inspection Robot System for Underground Belt Conveyors in Coal Mines
The conveyor is an important mining equipment in coal mines,as a key component of the conveyor,if measures are not taken in a timely manner after damage,the entire conveyor belt will be completely torn,causing serious economic losses.To this end,based on the video recordings collected by the intelligent inspection robot in coal mines,the Canny edge detection algorithm is used to analyze the video recordings frame by frame,and then analyze the damage situation of the conveyor belt edge.Based on the proposed conveyor load and conveyor belt deviation load detection method,the influencing factors of conveyor belt damage are analyzed.The research results can provide a new method for detecting damage to coal mine conveyor belts,effectively reducing the production and maintenance costs of coal mines.
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