基于层次分析法的煤矿开采绿色度评价

Evaluation of green degree in coal mining based on analytic hierarchy process

  • 摘要: 【目的】目前我国关于煤矿开采绿色度还没有形成一套系统的行之有效的评价体系,如何科学全面地评价煤矿智能化对于煤矿开采绿色度形成何种影响成为亟待解决的问题。【方法】基于煤矿开采绿色度有关文献研究及相关行业标准,围绕煤矿开采方式、开采过程和开采影响,通过专家问卷调查及层次分析方法,构建了煤矿开采绿色度评价体系。【结果】煤矿开采绿色度受资源、环境、安全、技术4个一级指标和21个二级指标影响。同时,采用层次分析法确定煤矿开采绿色度评价权重,一定程度避免了主观因素影响,又减少了样本差异大造成的客观权重偏差,从而使最终确定的综合权重更加客观合理。【结论】根据评价权重结果可知,提高资源开采方式和煤矿安全水平能够很大程度提高煤矿开采绿色度。

     

    Abstract: At present, China has not yet formed a systematic and effective evaluation system for the greenness of coal mining. How to scientifically and comprehensively evaluate the impact of intelligent coal mining on the greenness of coal mining has become an urgent problem to be solved. Based on the relevant literature research on the greenness of coal mining and related industry standards, this paper constructs an evaluation system for the greenness of coal mining by focusing on the mining methods, mining processes and mining impacts of coal mines, through expert questionnaire surveys and the analytic hierarchy process. It is believed that the greenness of coal mining is affected by four first-level indicators, namely resources, environment, safety and technology, and 21 second-level indicators. At the same time, the analytic hierarchy process is used to determine the evaluation weights of the greenness of coal mining, which to a certain extent avoids the influence of subjective factors and reduces the deviation of objective weights caused by large sample differences, thus making the final determined comprehensive weights more objective and reasonable. According to the evaluation weight results, improving the resource mining methods and the safety level of coal mines can greatly boost the greenness of coal mining.

     

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