Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization

IF 6.7 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Tunnelling and Underground Space Technology Pub Date : 2024-10-24 DOI:10.1016/j.tust.2024.106153

Abiodun Ismail Lawal , Moshood Onifade , Sangki Kwon , Manoj Khandelwal

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引用次数: 0

Abstract

Expanding mining operations in goaf zones heightens gas production potential, posing challenges in maintaining adequate ventilation within development panels, consequently impacting coal production. Various strategies have been explored to enhance mine ventilation and gas drainage effectiveness. However, deficiencies persist in the proposed ventilation system for the Okaba underground coal mine, prompting this study’s necessity. Addressing these concerns, the study evaluates the feasibility of employing booster fans to mitigate the identified drawbacks. Prioritizing booster fans for airflow distribution in underground mines is a complex decision-making process, requiring an advanced expert system approach. To address this, the study proposes an intuitionistic-based fuzzy TOPSIS (IFT) method for booster fan prioritization in the Okaba mine. Results indicate that booster fan 4 (BF4) ranks highest, followed by booster fan 3 (BF3), consistent with fuzzy TOPSIS findings. Sensitivity analysis supports the predicted importance order, affirming the efficacy of the hybrid expert decision method in selecting a booster fan capable of enhancing the overall efficiency of gas drainage and ventilation systems in underground mines. This study introduces a Hybrid Expert Decision Approach that integrates IFT and traditional fuzzy TOPSIS methodologies. This hybrid approach is particularly novel because it combines the strengths of both methods to prioritize booster fans in underground coal mines.

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提高煤矿井下瓦斯抽放和通风效率：确定增压风机优先次序的混合专家决策方法

在煤层区扩大采矿作业提高了瓦斯生产潜力，为在开发板内保持充分通风带来了挑战，从而影响了煤炭生产。为提高矿井通风和瓦斯抽放效果，人们探索了各种策略。然而，Okaba 地下煤矿的拟议通风系统仍存在缺陷，这促使本研究成为必要。为了解决这些问题，本研究评估了使用增压风机来减轻已发现的缺点的可行性。确定增压风机在地下煤矿风量分配中的优先级是一个复杂的决策过程，需要采用先进的专家系统方法。为此，研究提出了一种基于直觉的模糊 TOPSIS（IFT）方法，用于确定 Okaba 矿井增压风机的优先次序。结果表明，增压风机 4 (BF4) 排名最高，其次是增压风机 3 (BF3)，这与模糊 TOPSIS 的结论一致。敏感性分析支持预测的重要性顺序，肯定了混合专家决策法在选择增压风机时的有效性，该增压风机能够提高地下矿井瓦斯抽放和通风系统的整体效率。本研究介绍了一种混合专家决策方法，它整合了 IFT 和传统的模糊 TOPSIS 方法。这种混合方法尤为新颖，因为它结合了两种方法的优势，可用于确定煤矿井下增压风机的优先次序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Tunnelling and Underground Space Technology 工程技术-工程：土木

CiteScore

11.90

自引率

18.80%

发文量

454

审稿时长

10.8 months

期刊介绍： Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures. The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.