Design of Intelligent Inspection Robot System for Belt Conveyor in Coal Mine
As the core transportation equipment of coal mine,the daily inspection and monitoring work of belt conveyor relies on manual inspection,which is not only time-consuming and laborious,but al-so has low work efficiency and poor monitoring effect,which affects the normal production and operation of coal mine.In order to solve the above problems,a set of intelligent inspection system of underground belt conveyor based on track inspection robot is designed by using automatic inspection method and unmanned monitoring technology.Through a variety of intelligent sensors and wireless communication networks equipped with robots,the field environment parameters are collected and the operation is visually moni-tored.At the same time,gray-scale image processing algorithm is used to optimize the deviation detection method,so as to the accurate early warning and diagnosis of belt deviation fault is realized.Through test,the system can obtain clear and obvious deviation feature images under different conditions,and at the same time,the collection accuracy of the belt conveyor operating environment and equipment temperature is high,which can replace manual belt conveyor independent deviation detection and intelligent inspection,effectively improve the operation reliability of the belt conveyor,and has certain promotion and application value.
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