A mining machine low energy consumption and efficient mining parameter optimization method and three-dimensional scanning device

Abstract

The invention discloses a method for optimizing mining parameters with low energy consumption and high efficiency of a coal shearer and a three-dimensional scanning device, which obtains point cloud data of coal wall test pieces with different thicknesses for three-dimensional reconstruction, and obtains the actual thickness characteristics of the coal wall; establishes a coal shearer for cutting coal walls The regression equation of the drum speed, feed speed, and actual thickness characteristics of the coal wall of the specimen; obtain the optimal drum speed, optimal feed speed, and optimal thickness characteristics; combine the optimal drum speed, optimal feed speed, and optimal The energy consumption is substituted into the regression equation to calculate the actual optimal drum speed and the actual optimal feed speed; the actual optimal drum speed and the actual optimal feed speed are used to cut the coal wall specimen, and the cutting current data of the shearer are collected. The current data adjusts the actual optimal drum speed and the actual optimal feed speed to realize the parameter optimization of the shearer. The invention matches the comprehensive optimal motion parameters of the cutting performance of the coal shearer drum to adapt to the change of the thickness of the coal seam, so as to achieve the optimal coal mining comprehensive performance when the coal shearer is working.

Description

technical field [0001] The invention relates to the technical field of coal mining, in particular to a method for optimizing mining parameters of a shearer with low energy consumption and high efficiency and a three-dimensional scanning device. Background technique [0002] At present, in the field of coal mines, the monitoring of the shearer cutting the coal wall is mainly done through artificial visual discrimination, that is, relying on the human eye observation of the on-site shearer operator. At the same time, the monitoring of the coal wall interface is mostly concentrated on the coal-rock interface. In the prior art, the parameters of various parts such as the height of the drum are usually adjusted when the drum is cut. This adjustment is mainly aimed at optimizing the structural parameters of the drum, and the optimization results cannot adapt to changes in the thickness of the coal seam. [0003] Drum rotation speed and traction speed are the main motion parameters...

AI Technical Summary

Problems solved by technology

[0002] At present, in the field of coal mines, the monitoring of the shearer cutting the coal wall is mainly done through artificial visual discrimination, that is, relying on the human eye observation of the on-site shearer operator. At the same time, the monitoring of the coal wall interface is mostly concentrated on the coal-rock interface. In the prior art, the parameters of various parts such as the height of the drum are usually adjusted when the drum is cut. This adjustment is mainly aimed at optimizing the structural parameters of the drum, and the optimization results cannot adapt to changes in the thickness of the coal seam.

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