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煤矿瓦斯爆炸控制的模糊多准则决策框架。

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines.

机构信息

Department of Petroleum and Natural Gas Engineering, Batman University, Batman, Turkey.

出版信息

Environ Sci Pollut Res Int. 2024 Feb;31(6):9045-9061. doi: 10.1007/s11356-023-31782-0. Epub 2024 Jan 6.

DOI:10.1007/s11356-023-31782-0
PMID:38183552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10824880/
Abstract

The structure of underground coal mines is vulnerable to many mishaps because of the challenging conditions of production and the unique features of the earth. These incidents could cause significant financial and production losses for the mines in addition to worker injury, disability, or death. In coal mines, methane explosions are a frequent threat. Establishing a safe work environment requires managing these problems with an accident control method. The current study used the fuzzy TOPSIS and fuzzy AHP techniques for this aim. The framework was used to tackle the four-alternative problem of underground coal mine explosion control method selection. To identify potential risks of a methane explosion, a data gathering survey was conducted as part of the suggested hybrid methodology. The fuzzy AHP was used to compute the fuzzy weights of the hazards. "Improper ventilation system" is ranked highest out of the 34 sub-risk factors. The fuzzy TOPSIS was then utilized to rank the explosion control methods using the weights. To assess the viability of the study's conclusions, a sensitivity analysis was carried out. The findings indicate that "improving safety technology" and "financial investments" are the best ways to reduce such events. The results additionally indicate that the fuzzy TOPSIS approach in combination with the fuzzy AHP provides a helpful framework for dynamically assessing mine methane explosion accidents.

摘要

由于生产条件的挑战性和地球的独特性,地下煤矿的结构容易受到许多事故的影响。这些事故除了会导致工人受伤、残疾或死亡外,还会给煤矿带来重大的财务和生产损失。在煤矿中,甲烷爆炸是一个常见的威胁。建立安全的工作环境需要采用事故控制方法来管理这些问题。目前的研究使用模糊 TOPSIS 和模糊层次分析法来实现这一目标。该框架用于解决地下煤矿爆炸控制方法选择的四个备选方案问题。为了识别甲烷爆炸的潜在风险,作为所提出的混合方法的一部分,进行了数据收集调查。模糊层次分析法用于计算危害的模糊权重。在 34 个子风险因素中,“通风系统不完善”的排名最高。然后,利用权重使用模糊 TOPSIS 对爆炸控制方法进行排名。为了评估研究结论的可行性,进行了敏感性分析。研究结果表明,“提高安全技术”和“财务投资”是减少此类事件的最佳方法。结果还表明,模糊 TOPSIS 方法与模糊层次分析法相结合,为动态评估煤矿甲烷爆炸事故提供了一个有用的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/2af829a72e2e/11356_2023_31782_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/0ee0bf660088/11356_2023_31782_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/a3fe90d5fe77/11356_2023_31782_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/62635b0dd6c6/11356_2023_31782_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/f6b188d4842d/11356_2023_31782_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/e68744fda648/11356_2023_31782_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/2af829a72e2e/11356_2023_31782_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/0ee0bf660088/11356_2023_31782_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/a3fe90d5fe77/11356_2023_31782_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/62635b0dd6c6/11356_2023_31782_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/f6b188d4842d/11356_2023_31782_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/e68744fda648/11356_2023_31782_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b7/10824880/2af829a72e2e/11356_2023_31782_Fig6_HTML.jpg

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Analysis of occupational health hazards and associated risks in fuzzy environment: a case research in an Indian underground coal mine.
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