Fully mechanized mining face coal-seam thickness self-adaption cutting control method and electronic equipment

Abstract

The invention discloses a fully mechanized mining face coal-seam thickness self-adaption cutting control method and electronic equipment. According to the main control process, a coal and rock seam interface geology prediction model based on a unified coordinate system and a fully mechanized coal equipment group three-dimensional space pose model are built, a cutting path line of a coal mining machine is obtained, and after the coal mining machine cuts a coal seam, identification of the coal and rock seam interface is conducted by using a video and image identification technology; based on a coal and rock identification result, the coal and rock seam interface geology prediction model is corrected; based on the corrected coal and rock seam interface, the next coal cutting path of the coalmining machine is planned in advance; fully mechanized mining face coal-seam thickness self-adaption cutting control based on multi-time real-time geology modeling correction, coal and rock interfacelagging identification and advancing planning of the cutting path of the coal mining machine is achieved. By means of the method, the problem that existing drilling, geophysical prospecting and otherdetection technology bottleneck restricts the self-adaption control of the coal mining machine is solved, self-adaption cutting under the changes of fully mechanized mining face coal-seam occurrence conditions is achieved, and the method provides a technological approach for achieving intelligentized and unmanned mining of a fully mechanized mining face.

Description

technical field [0001] The invention relates to an adaptive cutting control method for coal seam thickness in a fully mechanized mining face, in particular to a fully mechanized mining face based on multiple real-time geological modeling corrections, lagging recognition of coal-rock interfaces, and advanced planning of shearer cutting paths Coal seam thickness adaptive cutting method and electronic equipment. Background technique [0002] The self-adaptive cutting of coal seam thickness in the fully mechanized mining face is the basis for realizing the intelligent and unmanned mining of the fully mechanized mining face, and the intelligent height adjustment control of the shearer is the core key technology for the self-adaptive cutting of the coal seam thickness. Although my country has realized automatic mining based on shearer memory cutting in mining areas such as Huangling No. 1 Coal Mine and Jinjie Coal Mine, related technologies are difficult to apply to mining areas w...

AI Technical Summary

Problems solved by technology

First of all, the existing coal-rock identification technology is still difficult to effectively identify the coal-rock interface in a high-dust, low-illumination environment; The real-time adjustment of the height is subject to the requirements of the hydraulic support for the flatness of the roof support. The adjustment of the cutting height of the shearer also needs to consider the flatness and curvature of the roof after cutting; moreover, the shearer cuts the coal. During the cutting process, a large amount of vibration will be generated, which will lead to a decrease in the recognition accuracy of the airborne coal-rock identification device, a decrease in the position and posture monitoring accuracy of the shearer, etc., which will affect the automatic control accuracy of the shearer's cutting height

[0007] (3) The existing technology does not effectively associate the three-dimensional coordinates of the geological modeling of the coal and rock mass with the three-dimensional positioning coordinates of the fully mechanized mining system, resulting in a disconnect between the cutting position and orientation information of the coal shearer and the coordinate information of the geological model of the coal and rock mass , making it difficult to achieve precise control of the shearer

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