Planning cutting method and device based on big data system, storage medium and electronic device
A big data and planning technology, applied in the direction of image data processing, special data processing applications, 3D modeling, etc., can solve the problems of low application efficiency and achieve the effect of safe and efficient operation
Pending Publication Date: 2021-06-01
西安合智宇信息科技有限公司
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[0003] This technology is suitable for situations where the environment of the working face does not change much. If the conditions of the mine working face are complex, manual intervention is required to ensure that the shearer continuously learns the coal cutting method. At this time, the application efficiency of this method is low
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[0062] In order to make the purpose and technical solution of the present invention clearer and easier to understand. The present invention will be further described in detail below in conjunction with the drawings and embodiments. The specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0063] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of the present invention.
[0064] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the pr...
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The invention discloses a planning cutting method and device based on a big data system, a storage medium and an electronic device. The cutting method comprises the following steps: acquiring various equipment and geological information data of a fully mechanized coal mining face of a mine acquired by sensor equipment, and establishing a geological model; calculating data conversion from a geologic model to a planning cutting model through a deep learning neural network of big data, and meanwhile, calculating the actual underground position of the coal mining machine, the revealed coal seam thickness and the actual mining height dinting by fusing underground equipment attitude data returned by a centralized control station; establishing a real-time planning cutting model of the coal mining machine, the support and the three machines through conversion of the calculated data; carrying out big data decision analysis through the established planned cutting model in combination with various sensors of the working face, forming a planned cutting curve, issuing the planned cutting curve to a coal mining machine control system, and enabling the coal mining machine control system to carry out automatic cutting according to the planned cutting curve. Pre-action simulation of all devices of the fully mechanized coal mining face is achieved through a big data processing algorithm, and safe and efficient mining of the coal mining machine is guaranteed.
Description
technical field [0001] The invention relates to the technical field of coal shearers, in particular to a method and device for planning and cutting based on a big data system, a storage medium and an electronic device. Background technique [0002] At present, the mine working face adopts the coal cutting method as the memory cutting technology. This method completes the first cutting action by manually controlling the shearer on a specific working face, and stores the parameters during the action statistically to ensure that the coal mining The coal machine will use the stored parameters to cut accurately in the next coal cutting process. [0003] This technology is suitable for situations where the environment of the working face does not change much. If the conditions of the mine working face are complex, manual intervention is required to ensure that the shearer continuously learns the coal cutting method. At this time, the application efficiency of this method is low. ...
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IPC IPC(8): G06F30/20G06T17/05
CPCG06T17/05G06F30/20
Inventor 李旭董博肖剑张晓江田斌党恩辉史云李浩李世辉
Owner 西安合智宇信息科技有限公司