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Evaluation methods of man-machine-environment system for clean and safe production in phosphorus mines: A case study

磷矿清洁安全生产的人-机-环境系统评价方法案例研究

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Abstract

Phosphorus is an essential element in agricultural production and chemical industry. However, since the risk of casualties and economic loss by mining accidents, the application of clean and safe production in phosphorus mines encounters great challenges. For this purpose, a man-machine-environment system composed of evaluation indexes was established, and the grading standards of indexes were defined. Firstly, the measurements of 39 qualitative indexes were obtained through the survey data. According to the measured values of 31 quantitative indexes, the measurements of quantitative indexes were calculated by linear measurement function (LM) and other three functions. Then the singleindex measurement evaluation matrixes were established. Secondly, the entropy weight method was used to determine the weights of each index directly. The analytic hierarchy process (AHP) was also applied to calculate the weights of index and index factor hierarchies after the established hierarchical model. The weights of system hierarchies were given by the grid-based fuzzy Borda method (GFB). The comprehensive weights were determined by the combination method of AHP and GFB (CAG). Furthermore, the multi-index comprehensive measurement evaluation vectors were obtained. Thirdly, the vectors were evaluated by the credible degree recognition (CDR) and the maximum membership (TMM) criteria. Based on the above functions, methods, and criteria, 16 combination evaluation methods were recommended. Finally, the clean and safe production grade of Kaiyang phosphate mine in China was evaluated. The results show that the LM-CAG-CDR is the most reasonable method, which can not only determine the clean and safe production grade of phosphorus mines, but also improve the development level of clean and safe mining of phosphorus mines for guidance. In addition, some beneficial suggestions and measures were also proposed to advance the clean and safe production grade of Kaiyang phosphorus mine.

摘要

磷是农业生产和化学工业中必不可少的元素。然而, 由于采矿事故带来的人员伤亡和经济损失的风险, 在磷矿中应用清洁安全生产面临着巨大的挑战。为此, 建立了由评价指标组成的人-机-环境系统, 并定义了指标的分级标准。首先, 通过调查数据获得了39 个定性指标的测量值。根据31 个定量指标的测量值, 通过线性测量函数(LM)和其他三个函数计算定量指标的测量值。建立了单指标测度评价矩阵。其次, 采用熵权法直接确定各指标的权重。在建立层次模型后, 应用层次分析法(AHP)计算指标和指标因子层次的权重。采用基于网格的模糊Borda 方法(GFB)给出系统层次的权重。采用AHP和GFB方法相结合的方法(CAG)确定综合权重。进而得到了多指标综合测度评价向量。第三, 采用可信度识别(CDR)和最大隶属度准则对向量进行了评价。基于上述函数, 方法和准则, 推荐了16 种组合评价方法。最后, 对我国开阳磷矿的清洁安全生产等级进行了评价。结果表明, LM-CAG-CDR是最合理的方法, 不仅可以确定磷矿清洁安全生产等级, 而且对提高磷矿清洁安全开采的发展水平具有指导意义。此外, 为提高开阳磷矿的清洁安全生产等级, 提出了一些有益的建议和措施。

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Funding

Project(51974362) supported by the National Natural Science Foundation of China; Project(2282020cxqd055) supported by the Fundamental Research Funds for the Central Universities, China; Project(2021-QYC-10050-25631) supported by the Department of Emergency Management of Hunan Province, China

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Authors and Affiliations

  1. School of Resources and Safety Engineering, Central South University, Changsha, 410083, China

    Long-jun Dong  (董陇军), Ying Zhou  (周盈), Si-jia Deng  (邓思佳) & Dao-yuan Sun  (孙道元)

  2. Guizhou Kailin Group Co., Ltd., Guiyang, 550300, China

    Mei Wang  (王梅)

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  1. Long-jun Dong  (董陇军)
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  2. Ying Zhou  (周盈)
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  3. Si-jia Deng  (邓思佳)
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Correspondence to Dao-yuan Sun  (孙道元).

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Dong, Lj., Zhou, Y., Deng, Sj. et al. Evaluation methods of man-machine-environment system for clean and safe production in phosphorus mines: A case study. J. Cent. South Univ. 28, 3856–3870 (2021). https://doi.org/10.1007/s11771-021-4890-8

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