Alarm method and electronic device for abnormal working condition of coal cutter, and medium

Abstract

The embodiment of the invention provides an alarm method and electronic device for an abnormal working condition of a coal cutter, and a medium. The method comprises: an image base including a plurality of sample images is constructed; a to-be-detected image is obtained, wherein the to-be-detected image is a collected image with a coal cutter roller position of the current working state of a coalcutter recorded; and a similarity distance between a color feature of a certain sample image and a color feature of the to-be-detected image is smaller than a first threshold, first-order alarming ofworking condition abnormity of the coal cutter is triggered. On the basis of the color feature, a similarity distance between the to-be-detected image and each sample image is calculated; if the similarity distance between the to-be-detected image and the sample image with the shortest similarity distance is smaller than a first threshold, alarming of working condition abnormity of the coal cutteris triggered. Therefore, the abnormal position of the coal cutter roller is detected accurately and the corresponding abnormity of the working condition of the coal cutter is alarmed.

Description

technical field [0001] The invention relates to the field of computer image recognition, in particular to a method, medium and electronic equipment for alarming abnormal working conditions of coal shearers by using computer image recognition technology. Background technique [0002] The coal seam trend of the fully mechanized mining face is intricate. At present, the working attitude of the shearer is determined by installing angle sensors and pitching and swing sensors on the shearer, but the external coal mining environment is changing, and different angles will appear during the walking of the shearer, and the positions of the top and bottom plates are unknown . Various abnormal working conditions may occur during the operation of the shearer, such as: the shearer cuts the top or bottom plate, the hydraulic support is not retracted normally, and the shearer drum cuts rocks, etc. Taking the shearer drum to cut rocks as an example, the picks bear a huge impact load during...

AI Technical Summary

Problems solved by technology

Taking the shearer drum to cut rocks as an example, the picks bear a huge impact load during this process, which accelerates the wear and damage of the drum picks, and some picks may also be broken due to the concentrated stress, causing the shearer drum to break. The cutting operation with missing teeth increases the stress and instantaneous load fluctuation of the shearer drum, accelerates the attenuation of the service life of adjacent picks on the same section line and the entire drum, and reduces the cutting efficiency of the shearer

However, the existing technology cannot obtain information on changes in the external coal mining environment, and cannot accurately perceive the abnormal working conditions of the above-mentioned various coal mining machines, so it is impossible to perform accurate and timely alarms.

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