首页|基于GRA-TOPSIS的综采工作面异常来压预警研究

基于GRA-TOPSIS的综采工作面异常来压预警研究

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为了预防开采期间工作面矿压显现明显,局部地段甚至异常来压诱发的压架等问题.通过数理分析,建立的工作面异常来压评价模型对矿井中异常来压起到防范预警作用,其研究成果主要如下:(1)通过分析国内矿井的异常来压情况,选取埋深、采高煤厚比、煤层倾角、基本顶厚度、直接顶厚度、推进速度、倾向长度等作为工作面来压评价因素,构建异常来压评价体系.(2)利用熵权法处理矿区数据得出各个因素的权重值,由TOPSIS法通过加权矩阵进行得分排序,采用灰色关联度分析法对TOPSIS法进行改进优化,得出灰色关联权重矩阵,进行构建工作面异常来压评价模型.(3)将所提出的模型应用在察哈素煤矿中,其评价效果较为理想.
Research on Abnormal Overpressure Warning for Fully Mechanized Coal Mining Face Based on GRA-TOPSIS
To prevent the significant manifestation of mining pressure on the working face during the mining period,including issues such as pressure frames induced by abnormal pressure in certain areas,an evaluation model for abnormal pressure on the working face has been established through mathematical and physical analysis.This model aims to provide prevention and early warning for abnormal pressures in mines.The main findings of the research are as follows:(1)By analyzing the situation of abnormal pressure in domestic mines,factors such as depth of burial,the ratio of mining height to coal thickness,coal seam dip angle,thickness of the immediate roof,thickness of the main roof,advancement speed,and dip length were selected as key factors for the evaluation of pressure on the working face,thus constructing an evaluation system for abnormal pressure.(2)Utilizing the entropy weight method to process mine area data to determine the weight values of each factor,sorting the scores through weighte matrix using TOPSIS method,and improving the TOPSIS method through grey relational analysis to optimize and obtain the grey relational weight matrix,an evaluation model for abnormal pressure on the working face was constructed.(3)The model proposed was applied in the Chahasu coal mine,where the evaluation results were found to be ideal.

fully mechanized coal mining faceabnormal overpressureentropy weight methodgrey relational analysisTOPSIS

武智东、路雄、刘凯璇、于凤启、徐乐、赵振中

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国电建投内蒙古能源有限公司,内蒙古鄂尔多斯 017209

中国矿业大学矿业工程学院,江苏徐州 221000

综采工作面 异常来压 熵权法 灰色关联度分析法 TOPSIS

2025

煤炭技术
黑龙江科技学院 哈尔滨煤矿机械研究所

煤炭技术

影响因子:0.48
ISSN:1008-8725
年,卷(期):2025.44(1)