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基于投影寻踪模型的煤矿掘进工作面环境评价 被引量:1

Environmental Assessment of Coal Mine Driving Face Based on Projection Pursuit Model
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摘要 为解决煤矿掘进工作面环境安全评价指标多维性、权重赋值主观性问题,运用投影寻踪模型对工作面射流区、冲击区、回流区和涡流区4个特征区域的环境评价指标和安全等级进行最优投影分析,投影值越大,采样区域污染越严重。经分析结果表明,4个样本区域的环境评价指标投影值为Z(涡流区)>Z(回流区)>Z(冲击区)>Z(射流区),安全评价等级与实际污染物分布情况一致,为工作面环境治理提供更为准确的决策信息。 In order to solve the problem of multidimensional and subjective weight assignment of environmental safety evaluation index in coal mine driving face,the projection pursuit model was used to analyze the environmental evaluation index and safety level of four characteristic areas of working face jet area,impact area,return area and eddy current area.The larger the projection value was,the more serious pollution in the sampling area was.The results showed that the environmental evaluation index of the four sample areas was Z(eddy current area)>Z(return area)>Z(impact area)>Z(jet area)and the safety evaluation grade was consistent with the actual pollutant distribution,providing more accurate decision information for working face environmental governance.
作者 胡媛媛 李乐乐 HU Yuanyuan;LI Lele(Yuncheng Vocational and Technical University Department of Mine Engineering,Yuncheng 044000,China;Xinjiang County Power Supply Company of State Grid,Xinjiang 043100,China)
出处 《煤矿机电》 2021年第4期37-40,共4页 Colliery Mechanical & Electrical Technology
基金 高等学校科技创新项目(201701D31111191)。
关键词 投影寻踪 遗传算法 掘进工作面 环境安全 评价指标 projection pursuit genetic algorithm heading face environmental safety evaluation index
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