Method for predicting heightening track of coal cutter based on sliding window and gray Markov chain

Abstract

The invention discloses a method for predicting the heightening track of a coal cutter based on a sliding window and a gray Markov chain. The method comprises the steps that firstly, the window width of the sliding window is set, specifically, the window width of the sliding window is set; secondly, primary mining data of a coal seam and cutting posture data of a roller are recorded; and thirdly, subsequent mining of the coal seam and prediction of the heightening track are conducted, specifically, the to-be-mined coal seam continues to be mined from back to front through the coal cutter in the working face advancing direction, the heightening track of the coal cutter on each working face is predicted before mining is conducted on the working face, and the process for predicting the heightening track of the coal cutter on any working face comprises the following substeps that 301, a data sequence in the sliding window is obtained; 302, the height of the roller is predicted preliminarily; 303, a roller height primary prediction result is corrected; and 304, the heightening track is obtained. The method for predicting the heightening track of the coal cutter based on the sliding window and the gray Markov chain is simple in step, reasonable in design, easy and convenient to implement, and good in using effect; and the heightening track is predicted based on the sliding window and the gray Markov chain, and thus the prediction precision is high.

Description

technical field [0001] The invention belongs to the technical field of coal mining machine control, and in particular relates to a method for predicting the height adjustment track of a coal mining machine based on a sliding window, a gray model and a Markov chain model. Background technique [0002] Shearer is the core equipment of coal mine mechanized mining, and its automation degree determines the automation level of fully mechanized mining face. In order to realize the automation and intelligence of the height adjustment of the shearer in the fully mechanized mining face, ensure accurate identification of coal rocks, and efficiently cut coal, it is necessary to predict the cutting trajectory of the shearer, so as to realize the automatic height adjustment and adjustment of the shearer drum. Adaptive cut. At present, the automatic height adjustment of shearers at home and abroad generally adopts the memory cutting method. This method mainly relies on the height adjustme...

AI Technical Summary

Problems solved by technology

At present, the automatic height adjustment of coal shearers at home and abroad generally adopts the memory cutting method, which mainly relies on the height adjustment data of the previous knife drum, lacking the data of the next coal seam, it is difficult to adapt to the fluctuation of the coal seam

In order to improve the accuracy of the height adjustment of the shearer drum, scholars have carried out various researches on the prediction of the trajectory of the shearer drum, and achieved certain results, but there are still many shortcomings in the reliability, real-time and accuracy of the algorithm , it has been successfully applied in the control of the height adjustment of the shearer drum in the working face

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