Automatic optimization design and application of drilling parameters for gas drainage in cross cut coal uncovering

Autor: Xie Beijing, Zhong Shiqing, Cao Xiao
Jazyk: English<br />Chinese
Rok vydání: 2021
Předmět:
Zdroj: 矿业科学学报, Vol 6, Iss 6, Pp 678-687 (2021)
Druh dokumentu: article
ISSN: 2096-2193
DOI: 10.19606/j.cnki.jmst.2021.06.006
Popis: Before uncovering coal in crosscut of high gas or outburst mine, it is necessary to design drainage boreholes and display the position of boreholes on the interaction surface of roadway and coal seam.In order to solve the problem that common AutoCAD and other drawing softwares can not efficiently meet the needs of a large number of calculations, combined with the relevant provisions of coal mine gas drainage and based on Matlab software programming, utilized Hungarian algorithm and simulated annealing algorithm, the automatic optimization design software of drilling parameters of crosscut uncovering coal gas drainage is developed.The results show that: ①the automatic optimization design software can be used to solve the problems of automatic optimization design and scheme comparison of drilling parameters based on any coal seam, roadway spatial position and extraction input conditions, which greatly improves the calculational efficiency and accuracy; ②The image drawing function realized by programming can realize the three-dimensional display of drilling track; ③On the basis of drilling parameters, the parameters of drilling layout are designed and verified synchronously to realize the closed-loop control of design and verification; ④The function of arbitrary hole filling parameters greatly improves the practicability of the automatic optimization design software and solves the problem of hole filling parameter design.The application of automatic optimization design of gas drainage borehole parameters in crosscut uncovering can obtain the optimal drainage borehole parameters, greatly improve the work efficiency of field technicians in coal mine, and provide important support for intelligent mining in coal mines.
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