李红霞, 刘丹. 基于投影寻踪原理的我国煤矿安全生产水平评价[J]. 煤矿安全, 2018, 49(2): 238-240.
    引用本文: 李红霞, 刘丹. 基于投影寻踪原理的我国煤矿安全生产水平评价[J]. 煤矿安全, 2018, 49(2): 238-240.
    LI Hongxia, LIU Dan. Assessment of Coal Mine Safe Production Level in China Based on Projection Pursuit Method[J]. Safety in Coal Mines, 2018, 49(2): 238-240.
    Citation: LI Hongxia, LIU Dan. Assessment of Coal Mine Safe Production Level in China Based on Projection Pursuit Method[J]. Safety in Coal Mines, 2018, 49(2): 238-240.

    基于投影寻踪原理的我国煤矿安全生产水平评价

    Assessment of Coal Mine Safe Production Level in China Based on Projection Pursuit Method

    • 摘要: 为客观评价我国煤矿安全生产水平,选取7个煤矿安全生产水平评价指标体系并构建了我国煤矿安全生产水平投影寻踪评价模型。选取2009—2015年我国煤炭行业相关数据进行实例分析。研究结果表明:2009—2015年我国煤矿安全生产水平整体呈上升趋势;2009—2015年样本数据的最优投影方向反映出每个指标对安全生产水平评价的重要性,排序为:一级安全煤矿个数>百万吨死亡率>百万人死亡率>死亡人数>事故起数>百万吨安全投入>年生产能力利用率;一级安全煤矿数量对我国煤矿安全生产水平影响作用最大,应加快规范矿井生产作业环境。

       

      Abstract: To objectively evaluate the safety level of coal mine, this paper selects seven indexes and constructs a projection pursuit evaluation model of coal mine safe production. The data on coal industry from 2009 to 2015 is used to validate the model. The results show that the overall level of coal mine safety production in China shows an increasing trend from 2009 to 2015. The optimal projection direction of sample data from 2009 to 2015 reflects the importance of each indicator to the evaluation of safe production level. The order is: the number of the first level safe coal mines>million tons of mortality>million mortality>the number of deaths>the accidents>million tons of safety input>annual capacity utilization rate. The number of the first level safe coal mines has the greatest influence on the safety production level of coal mine in China.

       

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