Automatic underground coal mining system and method

Abstract

The invention discloses an automatic underground coal mining system and method. The device comprises a coal mining machine (4), a coal mining machine controller (2), a monitoring host (8) and a hydraulic support (6), an infrared camera shooting device (3) is arranged on a rocker arm of the coal mining machine (4), the coal mining machine controller (2) is arranged on the coal mining machine (4) and electrically connected with the infrared camera shooting device (3), the monitoring host (8) is wirelessly connected with the coal mining machine controller (2), and the hydraulic support (6) is wirelessly connected with the monitoring host (8). According to the system, the coal mining machine can more efficiently and automatically work, the system can effectively recognize real cutting states of the coal mining machine in severe environments such as dust and water mist generated in cutting of the coal mining machine, and automatic work of the coal mining machine is more facilitated.

Description

technical field [0001] The invention relates to an automatic cutting system and method of a coal mining machine, in particular to an automatic coal mining system and method under a mine. Background technique [0002] The coal-rock interface recognition of the shearer is the key to the automatic control of the shearer. Since it is quite difficult to directly identify the coal-rock interface, it cannot meet the requirements of the coal mining work site. At this stage, indirect methods are often used to identify the coal-rock interface. At present, the indirect methods for identifying the coal-rock interface mainly include memory cutting There are two types of cutting signal analysis methods. [0003] However, none of the above methods can accurately measure the cutting signal, and thus cannot accurately identify the cutting state of the coal shearer. [0004] Therefore, it is necessary to provide an automatic coal mining system and method in a mine, which has solved the abov...

AI Technical Summary

Problems solved by technology

Since it is quite difficult to directly identify the coal-rock interface, it cannot meet the requirements of the coal mining work site. At this stage, indirect methods are often used to identify the coal-rock interface. At present, the indirect methods for identifying the coal-rock interface mainly include memory cutting Two categories of cutting signal analysis methods

[0003] However, none of the above methods can accurately measure the cutting signal, and thus cannot accurately identify the cutting state of the shearer

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