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Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization
As a large number of new energy is employed as the driving force for the operation and transportation machinery of underground space projects, the lithium battery load in confined spaces, such as working faces, roadways and tunnels increases in geometric progression, and the coupled risks of heat da...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819232/ https://www.ncbi.nlm.nih.gov/pubmed/36612776 http://dx.doi.org/10.3390/ijerph20010456 |
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author | Li, Kuikui Wang, Yanming Zhang, Yongchang Wang, Shasha Zou, Xiangyu |
author_facet | Li, Kuikui Wang, Yanming Zhang, Yongchang Wang, Shasha Zou, Xiangyu |
author_sort | Li, Kuikui |
collection | PubMed |
description | As a large number of new energy is employed as the driving force for the operation and transportation machinery of underground space projects, the lithium battery load in confined spaces, such as working faces, roadways and tunnels increases in geometric progression, and the coupled risks of heat damage and smoke poisoning caused by possible fires become more serious. In this paper, experimental and numerical methods were implemented to study the propagation mechanism of heat- and mass-induced disasters under catastrophic conditions, and a quantitative characterization model of multiple risk factors of thermal runaway and toxic gas diffusion of battery fire was proposed. The fuzzy analytical hierarchy process (FAHP) was conducted to calculate and grade the risk of lithium battery fire in a typical mine working face under multiple factors, including hazard source, personnel, working environment and emergency response. In addition, a quantitative early warning and control model was established for identified high-risk probability events. The results promote the quantitative and scientific development of multiple risk assessment and decision-making of confined space fire. |
format | Online Article Text |
id | pubmed-9819232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98192322023-01-07 Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization Li, Kuikui Wang, Yanming Zhang, Yongchang Wang, Shasha Zou, Xiangyu Int J Environ Res Public Health Article As a large number of new energy is employed as the driving force for the operation and transportation machinery of underground space projects, the lithium battery load in confined spaces, such as working faces, roadways and tunnels increases in geometric progression, and the coupled risks of heat damage and smoke poisoning caused by possible fires become more serious. In this paper, experimental and numerical methods were implemented to study the propagation mechanism of heat- and mass-induced disasters under catastrophic conditions, and a quantitative characterization model of multiple risk factors of thermal runaway and toxic gas diffusion of battery fire was proposed. The fuzzy analytical hierarchy process (FAHP) was conducted to calculate and grade the risk of lithium battery fire in a typical mine working face under multiple factors, including hazard source, personnel, working environment and emergency response. In addition, a quantitative early warning and control model was established for identified high-risk probability events. The results promote the quantitative and scientific development of multiple risk assessment and decision-making of confined space fire. MDPI 2022-12-27 /pmc/articles/PMC9819232/ /pubmed/36612776 http://dx.doi.org/10.3390/ijerph20010456 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Kuikui Wang, Yanming Zhang, Yongchang Wang, Shasha Zou, Xiangyu Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization |
title | Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization |
title_full | Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization |
title_fullStr | Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization |
title_full_unstemmed | Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization |
title_short | Multi-Risk Assessment of Mine Lithium Battery Fire Based on Quantitative Factor Characterization |
title_sort | multi-risk assessment of mine lithium battery fire based on quantitative factor characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819232/ https://www.ncbi.nlm.nih.gov/pubmed/36612776 http://dx.doi.org/10.3390/ijerph20010456 |
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