Work

Human thermal comfort indicator in high-temperature environments in deep mining

Year: 2025

Type: article

Abstract: 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.

Source: Journal of Safety and Sustainability

DOI: 10.1016/j.jsasus.2025.03.001

Authors: Naiping Li, Hongmei Shu, Daoyuan Sun

Institutions: Central South University, Second Xiangya Hospital of Central South University

Language: English

Topic: Industrial and Mining Safety

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,000