Belt transfer point coal blockage identification method based on target detection

Abstract

The invention provides a belt transfer point coal blockage identification method based on target detection, and the method is an accurate, stable, simple and easy to detect transshipment point coal blockage, and for the method aims at solving the problem of transfer point coal blockage detection. Coal briquette images in the transfer process are collected and marked, a coal briquette image data set is constructed, a target detection model is trained to recognize coal briquettes at a transfer point, when the sizes of the coal briquettes exceed a preset threshold value, the coal briquettes are regarded as large coal briquettes, and when the large coal briquettes do not move within a certain period of time, it is judged that the coal briquettes are blocked. Once coal blockage occurs, alarm information can be immediately sent out for timely processing, so that potential safety hazards are reduced, and the production efficiency is improved. Compared with a traditional coal blockage detection mode, the method can adapt to the complex and changeable environment of the underground coal mine, and by training the single-stage coal briquette target detection model, coal blockage at the transfer point can be stably, accurately and rapidly recognized.

Description

technical field [0001] The invention relates to a method for identifying coal jams, in particular to a method for identifying coal jams at belt transfer points based on target detection. Background technique [0002] With the continuous development of my country's coal production, mine transportation has tended to be belt-based and high-speed, and a large number of belt conveyors have become the main tool for mine transportation. Due to the emergence of large lumps of coal, the phenomenon of coal blocking and piles of coal is very likely to occur at the belt transfer point, which seriously affects the efficiency of coal mine transportation. Therefore, how to safely and reliably realize the identification of coal blocking at the belt transfer point is of great significance for ensuring the safety of coal mine production. [0003] At present, most of them use contact-type coal pile sensors to realize coal blocking detection. This method is easily affected by mine air moisture...

AI Technical Summary

Problems solved by technology

[0003] At present, most of them use contact-type coal pile sensors to realize coal blocking detection. This method is easily affected by mine air moisture and coal dust, resulting in inaccurate alarms, and unsatisfactory durability, sensitivity and reliability.

At the same time, some researchers proposed to detect coal blockage through digital image processing methods such as background modeling, motion detection, and image feature extraction. This method uses a monitoring camera installed at the transfer point for real-time analysis and processing. The implementation cost is low, but It is easily affected by conditions such as low light and dust in the well, which affects image feature extraction and low recognition accuracy

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