A method and device for collecting shaft wall images

Abstract

The invention discloses a collection method and device for images of a vertical shaft wall. A set of cameras is used to complete full coverage sampling of the whole shaft wall. Each time a hoist is lifted or lowered, a complete of the vertical shaft wall is obtained. The set of cameras consists of four cameras. The shooting angle of each camera is 90 degrees, each camera shoots one quadrant, and so the four cameras achieve 360 degree shooting of the shaft wall. During normal operation of the hoist, the camera set takes images of the shaft wall in real time, and the full coverage shooting of the whole vertical shaft wall is realized by arranging an appropriate sampling time and sampling frequency. Accurate acquisition of the shaft wall images is a key step in shaft wall defect automatic detection. The accurate acquisition of the shaft wall images for ensuring the detection of a shaft wall crack is of certain significance for preventing shaft wall damage and mine collapse accidents.

Description

technical field [0001] The invention relates to an image acquisition method, in particular to a method and device for acquiring shaft wall images. Background technique [0002] Most coal seam areas have relatively harsh topography, insufficient coal seam rock mass strength, and the adverse effects caused by stratum consolidation and rising groundwater levels. Coal mine shaft walls often generate large internal stress. When the stress is greater than the shaft wall structure When the ultimate strength is reached, shaft wall damage and mine collapse accidents will occur, so it is necessary to detect shaft wall cracks. [0003] At present, the detection of cracks on coal mine shaft walls in China is still generally based on the method of manual screening. The inspection personnel carry cages and pass the naked eye inspection at close range, which has the following disadvantages: (1) Low work efficiency, slow detection speed, and long time-consuming; (2) The manual visual inspe...

AI Technical Summary

Problems solved by technology

[0003] At present, the detection of cracks on coal mine shaft walls in China is still generally based on the method of manual screening, and the inspection personnel carry cages to pass the naked eye inspection at close range, which has the following disadvantages: (1) low work efficiency, slow detection speed, and long time-consuming; (2) The manual visual inspection method has a certain degree of subjectivity, the detection data is not accurate enough, and the reliability is low; (3) The operation cost is high, which affects the production and operation of the coal mine; (4) The working conditions are harsh and the risk is high, and the high-altitude operation increases the work of the inspection personnel the danger of

[0004] Accurate acquisition of borehole wall images is a key step to realize the automatic detection of borehole wall defects. If the research objectives cannot be accurately acquired, the follow-up work will be empty talk. The environment of deep wells is complex and it is difficult to obtain first-hand field data. There are few studies in this area.

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