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

Abstract

The invention discloses a coal mining machine low-energy-consumption efficient mining parameter optimization method and a three-dimensional scanning device. The optimization method comprises the steps: obtaining point cloud data of coal wall test pieces with different thicknesses, and carrying out the three-dimensional reconstruction, and obtaining the actual thickness characteristics of a coal wall; establishing a regression equation of the roller rotating speed, the feeding speed and the actual coal wall thickness characteristics of a coal mining machine for cutting the coal wall test pieces; obtaining the optimal roller rotating speed, the optimal feeding speed and the optimal thickness characteristic; substituting the optimal roller rotating speed, the optimal feeding speed and the optimal energy consumption into the regression equation, and obtaining the actual optimal roller rotating speed and the actual optimal feeding speed through calculation; and cutting the coal wall test pieces by using the actual optimal roller rotating speed and the actual optimal feeding speed, collecting current data of cutting of the coal mining machine, and adjusting the actual optimal roller rotating speed and the actual optimal feeding speed according to the current data to realize parameter optimization of the coal mining machine. According to the optimization method, the cutting performance of a roller of the coal mining machine is matched with the optimal motion parameters to adapt to the thickness change of a coal seam, so that the comprehensive coal mining performance is optimal when the coal mining machine works.

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...

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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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