Residual error network-based detection method for four types of damage of conveyer belt

Abstract

The invention discloses a residual error network-based detection method for four types of damage of a conveyer belt. The method comprises the steps of recording a conveyer belt running video; extracting picture samples from the video and performing preprocessing; dividing a training data set and a test data set; constructing a residual error network and performing training by using the training data set; performing assessment by using the test data set; and performing a series of processes of real-time detection on the conveyer belt by using the residual error network meeting the requirements,thereby real-time detection of the four types of the damage, including "tear", "scratch", "chamfered edges" and "holes", of the conveyer belt. According to the method, the detection of the four typesof the damage of the conveyer belt is realized through the video, so that complicated work due to use of a large amount of sensor detection apparatuses is avoided and the cost is reduced; and an identification network is constructed by using the residual error network, so that the network training precision is improved and the identification error rate is reduced.

Description

technical field [0001] The invention relates to a detection method of "tear", "scratch", "cut edge" and "pothole" of conveyor belt based on residual network image recognition technology. Background technique [0002] Belt conveyor is the main equipment for bulk material transportation, and it is widely used in industrial fields such as ports, chemicals, mines, and grain production. The conveyor belt on the belt conveyor often inevitably produces four kinds of damages: "tear", "scratch", "cutting edge" and "pothole" during transportation and use. If these damages cannot be found in time and effectively Disposal will seriously affect the service life of the conveyor belt, causing serious economic losses and safety accidents. Some existing methods are more designed for the detection of longitudinal tearing of the conveyor belt. For the four common damages of the conveyor belt, "tear", "scratch", "cut edge" and "pothole" At the same time, there are few researches on detection,...

AI Technical Summary

Problems solved by technology

The conveyor belt on the belt conveyor often inevitably produces four kinds of damages: "tear", "scratch", "cutting edge" and "pothole" during transportation and use. If these damages cannot be found in time and effectively Processing will seriously affect the service life of the conveyor belt, causing serious economic losses and safety accidents

Some existing methods are more designed for the detection of longitudinal tearing of the conveyor belt. For the four common damages of the conveyor belt, "tear", "scratch", "cut edge" and "pothole" At the same time, there are few researches on detection, and it is necessary to install different detection equipment for different types of damage, which results in a huge number of sensors used, cumbersome installation, high system complexity, high cost, and unsatisfactory effects.

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