Recognition method of coal blockage at belt transfer point based on target detection

Abstract

The invention provides a target detection-based identification method for coal blockage at the transfer point, which is an accurate, stable, simple and easy-to-implement detection method for coal blockage at the transfer point, and is used to solve the problem of detecting coal blockage at the transfer point. The present invention collects and marks images of coal blocks in the transportation process, builds a coal block image data set, and trains a target detection model to identify coal blocks at reprint points. When the size of a coal block exceeds a preset threshold, it is considered a large coal block. If the block does not move within a certain period of time, it is judged as coal blocking. Once coal blocking occurs, an alarm message can be issued immediately for timely processing, reducing potential safety hazards and improving production efficiency. Compared with the traditional detection method of coal blockage, the present invention can adapt to the complex and changeable environment of coal mines, and can stably, accurately and quickly identify coal blockage at transfer points by training a single-stage coal block target detection model.

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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