Integration of Electrochemical Energy Storage Systems in Coal Mines: An Information Science and Computer Technology Approach to Strategic Safety Optimization

This paper explores the strategic integration of high-capacity lithium-ion batteries within coal mining operations, addressing significant safety challenges such as fire risks in underground environments. Employing information science and computer technology, we develop a bi-level optimization model that enhances safety and operational efficiency. The upper-level model strategically places safety facilities like refuge chambers and emergency exits, considering factors like cost, risk, and capacity. The lower-level model optimizes evacuation routes influenced by these placements. A simulation approach validates our model, demonstrating improved emergency evacuation strategies and minimized risks in various scenarios. This study exemplifies how advancements in electrochemical energy storage can be effectively incorporated into mining safety protocols, leveraging computational techniques to tackle the unique hazards of modern energy technologies in mining.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928570
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

Integration of Electrochemical Energy Storage Systems in Coal Mines: An Information Science and Computer Technology Approach to Strategic Safety Optimization

Yue Cao, Yu Gu, Xiaojun Zhang, Liping Jiang
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Mining Techniques and Economics
article

Integration of Electrochemical Energy Storage Systems in Coal Mines: An Information Science and Computer Technology Approach to Strategic Safety Optimization

Yue Cao, Yu Gu, Xiaojun Zhang, Liping Jiang
article en

Abstract

This paper explores the strategic integration of high-capacity lithium-ion batteries within coal mining operations, addressing significant safety challenges such as fire risks in underground environments. Employing information science and computer technology, we develop a bi-level optimization model that enhances safety and operational efficiency. The upper-level model strategically places safety facilities like refuge chambers and emergency exits, considering factors like cost, risk, and capacity. The lower-level model optimizes evacuation routes influenced by these placements. A simulation approach validates our model, demonstrating improved emergency evacuation strategies and minimized risks in various scenarios. This study exemplifies how advancements in electrochemical energy storage can be effectively incorporated into mining safety protocols, leveraging computational techniques to tackle the unique hazards of modern energy technologies in mining.

Tianjin Fire Research Institute (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 64%
Mining Techniques and Economics
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