Carrier roller anomaly detection method and system

Abstract

The invention discloses a carrier roller anomaly detection method. The method comprises the steps of collecting sound signals of carrier rollers and performing filtering; processing the sound signals by using a time-domain characteristic parameter function, outputting a time-domain characteristic parameter analysis result, and when time-domain characteristic parameters exceed a preset threshold value, preliminarily alarming; processing the sound signals by using fast Fourier transform to obtain an overall sound spectrogram waveform, and comparing the overall sound spectrogram waveform with the time domain characteristic parameters to determine the alarm accuracy; when it is determined that a fault occurs, performing empirical mode decomposition on the sound signals, filtering out external sound interference, and determining the abnormal occurrence interval of the carrier rollers by combining the belt speed of a conveyor; and performing wavelet packet decomposition and reconstruction and Hilbert transform envelope analysis on the sound signals, and determining an abnormal carrier roller. The method can comprehensively detect whether the carrier rollers are abnormal or not, so that the full-automatic detection effect is achieved, safety accidents caused by damage to the carrier rollers of the belt conveyor are effectively reduced, and material conveying safety is guaranteed. The invention further discloses a carrier roller anomaly detection system.

Description

technical field [0001] The invention belongs to the technical field of intelligent patrol inspection, and in particular relates to a method and system for abnormal detection of idler rollers. Background technique [0002] The idler roller is a rolling member that supports the conveyor belt or steel wire rope and its carrying materials. The idler rollers of the conveyor are set according to a certain distance and requirements. The roller that drives the idler rotates around its mandrel. The idler roller is the main component of the belt conveyor, which accounts for a large part of the cost of the whole machine. The idler roller is also a vulnerable part. Faults such as jamming and stalling often occur. The quality of the idler directly affects the stability of the conveyor. The damaged idler The roller can even scratch the belt and cause the belt to ignite spontaneously and cause greater economic losses. In severe cases, it may also cause major accidents such as personal inj...

AI Technical Summary

Problems solved by technology

At present, idler faults are often determined through manual inspections, but there are many problems in this manual inspection method: first, it is not convenient to carry out manual inspections when the inspection environment is harsh, and manual inspections are likely to cause casualties, for example, In the environment of high-altitude operations, or in dark and narrow mine environments, etc.; secondly, manual inspection still has obvious defects such as high inspection cost and low efficiency.

Another way is to use the temperature to indirectly detect the fault of the idler roller. The idler roller is rotating before it is completely stuck. By indirectly measuring the bearing temperature of the idler roller, it can be judged whether the idler roller is stuck and the extent of the jam. For the conventional conveying method, it has a large number of rollers, so this method has the problems of high cost, large amount of data transmission and high failure rate, and there are many kinds of failures of the rollers, and the symptoms and performance of each failure are very similar. The causes of different faults are intricate, so the judgment method based on a single temperature signal has problems such as large uncertainty and poor diagnostic accuracy

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