Research on Wire Break Detection Technology of Steel Wire Rope Core Conveyor Belt Based on Artificial Intelligence
Aiming at the problems of low efficiency,high labor intensity of workers,and low detection accuracy of traditional wire breakage monitoring methods for steel wire core conveyor belts,an artificial intelligence based wire break detection method for steel wire core conveyor belts is proposed by analyzing the structure of the steel wire ropes inside the conveyor belts.Neural network algorithms are used to extract the characteristics of wire breakage inside the belts,achieving quantitative and accurate recognition.Using the tape of 619 steel wire rope with different types of wire breakage defects as the experimental object,wire breakage detection technology was used for wire breakage detection.The results showed that it only took 3.8 s to complete the detection of the tape with a length of 2 m.For steel wire ropes with more surface wire breakage,the feedback signal change rate intensity was relatively high,with a maximum value of 0.498.This study achieved satisfactory experimental results and verified the rationality of the scheme design.
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