Intelligent Inspection Robot Design and Industrial Testing for Belt Conveyor

Aiming at the problems of low efficiency, high missed detection rate and others in manual inspection of belt conveyors, an integrated intelligent inspection scheme of "track-type inspection platform-multi-source perception-edge decision-making" is proposed. The system adopts a state machine/event driven architecture to integrate infrared thermal imaging, gas/temperature and humidity, visible light, and acoustic channels; Complete time sequence alignment and denoising at the feature layer, and introduce weighted voting and conflict resolution at the decision-making layer. The industrial testing shows that the average response delay of edge decision-making is≤200 ms (emergency stop channel ≤50 ms), and multi-source fusion can comprehensively identify three types of events: "deviation, idler roller and motor overheating, and smoke" with F₁≥0.90; With a single inspection of 29 minutes, single charging of 5.5 h, and a missed detection rate of <2.17%, which can replace 1-2 inspection positions; The direct economic benefit in 6 months is 496 500 yuan, and the personnel exposure time is reduced by about 175 people per hour. The scheme has generalability and practical engineering value in long-distance belt conveyor scenes.