Human thermal comfort indicator in high-temperature environments in deep mining
With the continuous advancement of deep mining, high-temperature environments pose severe challenges to miners' thermal comfort and occupational health. This study systematically summarizes the primary analytical indicators for studying human thermal comfort in deep mining high-temperature envi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Journal of Safety and Sustainability |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949926725000125 |
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| Summary: | With the continuous advancement of deep mining, high-temperature environments pose severe challenges to miners' thermal comfort and occupational health. This study systematically summarizes the primary analytical indicators for studying human thermal comfort in deep mining high-temperature environments, compares the advantages and limitations of existing models, and addresses the difficulty in dynamically measuring thermal comfort parameters. A novel wearable pulse monitoring device is proposed, utilizing easily trackable pulse parameters as a critical indicator of thermal comfort. The dynamic quantitative relationships between environmental temperature and physiological responses are analyzed, establishing a dynamic thermal comfort prediction framework based on pulse parameters. This method offers real-time feedback and enhanced accuracy in reflecting miners’ heat stress states. Results demonstrate that the proposed framework significantly outperforms traditional approaches in high-temperature conditions, providing theoretical and technical foundations for optimizing thermal environments, enhancing heat stress protection, and enabling intelligent mine safety management. Future research will integrate multi-source data fusion and multi-field coupling analysis to advance precision and intelligence in deep mining thermal comfort studies. |
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| ISSN: | 2949-9267 |