Computer-vision-based self-adaptive control method for belt conveyor for coal wharf

Abstract

The invention discloses a computer-vision-based self-adaptive control method for a belt conveyor for a coal wharf. The computer-vision-based self-adaptive control method for the belt conveyor for thecoal wharf comprises the steps of during the off-line pre-training stage, through recording a running video of a conveyor belt, extracting an image, making a conveying capacity training data set, a conveying capacity test data set, an abnormal state training data set and an abnormal state testing data set, and training a belt conveyor conveying capacity detection model and a belt conveyor abnormalstate detection model based on a convolutional neural network; during the on-line monitoring stage, using the trained belt conveyor conveying capacity detection model and the trained belt conveyor abnormal state detection model for monitoring the conveyor belt in real time, self-adaptively controlling the conveying speed of the belt conveyor according to the conveying capacity of the belt conveyor, detecting multiple abnormal states of the conveyor belt at the same time, immediately stopping running after the abnormal states are found, and sending an alarm corresponding to the abnormal state.The operation cost of the belt conveyor is greatly reduced, the overhaul and maintenance efficiency of the belt conveyor are improved, the maintenance cost is reduced, the safety is improved, the detection models are built by using the convolutional neural network, the detection accuracy is improved, and the recognition error rate is reduced.

Description

technical field [0001] The invention relates to a method for self-adaptive control of a computer vision-based belt conveyor used in a coal wharf according to conveying volume and abnormal state conditions. Background technique [0002] Belt conveyor is an important tool for coal production and transportation in my country. Its advantages are that it can carry out long-distance transmission and transportation, with large transportation volume and fast transportation speed, and it can carry out continuous operation for a long time in a relatively harsh environment. Therefore, It is widely used in coal mine production and coal transportation. Since the operation of the belt conveyor is mainly driven by a high-power motor, the power consumption is huge, and the belt conveyors in most coal mines in my country run at a constant speed with the maximum load, but the production of coal mines cannot achieve the maximum load of coal. Therefore, it is inevitable that the belt conveyor wi...

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Problems solved by technology

[0004] In addition, because the conveyor belt on the belt conveyor often inevitably produces abnormal states such as "deviation", "tearing", "scratching", "cutting edges" and "potholes" during transportation and use, these If the abnormal state cannot be found and repaired in time, it will seriously affect the service life of the conveyor belt, causing serious economic losses and safety accidents

Some existing scholars and experts are more designed for some solutions to the longitudinal tear of the conveyor belt. There are few studies on simultaneous detection of abnormal states of "potholes". Different detection equipment needs to be installed for different types of damage detection, which results in a large number of sensors used, cumbersome installation, high system complexity, huge cost, and low effect. not ideal

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