Coal cutter memory cutting and memory positioning combination learning method

Abstract

The invention discloses a coal cutter memory cutting and memory positioning combination learning method. The method comprises the following steps that memory cutting containing demonstration-tracking strategies is adopted for performing self-adaptation height adjustment on a coal cutter roller, dual mapping between the wireless position and the height of the coal cutter roller height is built in the demonstration cutting stage, coal cutter memory positioning is performed at the similar position in the tracking cutting stage, and on the basis of the novel demonstration cutting cycle stage, the height of the coal cutter roller is updated through adjacent coal seams. According to coal cutter memory cutting and memory positioning, correlation between wireless position data and cutting height data is subjected to combination learning, wireless signal matching is used for coal cutter memory positioning in the tracking cutting stage, the frequency of manual adjusting the coal cutter roller cutting height by a coal cutter driver is lowered in the novel demonstration cutting stage, and the coal cutter memory cutting strategy practicability is improved.

Description

technical field [0001] The invention relates to a combined learning method of shearer memory cutting and memory positioning, and belongs to the technical field of self-adaptive height adjustment of shearer drums. Background technique [0002] The fully mechanized mining face is one of the core areas of coal mine production, and the coal mining machine, scraper conveyor and hydraulic support are used as the mining machine group of the working face, which undertakes tasks such as coal breaking, coal loading and support, so the autonomous operation of the mining machine group It has been studied by many domestic and foreign scholars. As the core equipment of the mining machine group, the coal mining machine's intelligence level directly affects the automatic operation of the mining machine group. Although the shearer has been greatly improved in terms of cutting power, traction mode and main control system, the self-adaptive height adjustment of the shearer drum has not been e...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide a joint learning method of shearer memory cutting and memory positioning, which can solve wireless complex calculations during tracking cutting and re-memory of drum cutting height during teaching cutting To solve the problem, the usability of shearer memory cutting is enhanced through the joint learning of the height data of the drum in the teaching cutting room and the wireless position data of tracking cutting

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