Design of Intelligent Inspection Robot System for Mining Belt Conveyor
In view of the traditional mining belt workers inspec tion way workers labor intensity,low inspection efficiency,unreliable test results and accidents to screen,this paper analyzes the mining belt conveyor common fault and feature identification mechanism,put forward the mining belt conveyor intelligent inspection robot system.Firstly,adopting a modular driving design makes the inspection robot system have advantages such as small volume,compact structure,and large climbing slope.Secondly,hardware system selection and software algorithm programming are carried out,using infrared thermal imaging and high-definition video technology to accurately identify anomalies such as belt conveyor slipping,deviation,longitudinal tearing,and roller damage.Finally,using intelligent data processing algorithms,the physical signals such as video,sound,and temperature collected on site are integrated and transmitted back to the upper computer monitoring system,which automatically alarms for anomalies and generates historical records.On site applications have shown that the intelligent inspection robot system only takes 2.83 s to identify abnormal rollers,with a fault recognition accuracy of 98.7%,achieving satisfactory application results.
coal minebelt conveyorintelligent inspectionremote operation and maintenancefault diagnosis
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