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Development of a modified predicted heat strain model for hot work environments
- Source :
- International Journal of Mining Science and Technology, Vol 30, Iss 4, Pp 477-481 (2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- Excessive exposure to heat can lead to injuries, illness, and death among mineworkers. The actual cost of heat-related injuries and illnesses is unknown because of underreporting and lack of symptom recognition. Multi-factorial, evidence-based, and field-ready guidelines for identifying–and predicting–physiological markers of heat strain are currently unavailable. The predicted heat strain (PHS) model, is the latest attempt by mining companies to aid in the evaluation and management of occupational heat exposures. The adopted algorithm relies on worksite environmental measurements and an estimate of individual metabolic rate for mine workers to provide an estimate of the workers’ core temperature during a work shift. There are several known limitations of the PHS model, including the assumption that the subject worker is hydrated and fit. A modified PHS model was presented based on eight physical parameters that are measured at different intervals during a work shift; these parameters are air temperature, relative humidity, air velocity, radiation, metabolic rate, acclimatization, clothing insulation and posture. To validate the results, the predictions from the modified PHS model were compared with direct physiological measurements obtained from ingestible pills and heat stress monitors under different environmental and working conditions.
- Subjects :
- lcsh:TN1-997
0211 other engineering and technologies
Predicted heat strain
Energy Engineering and Power Technology
Hot work
Heat strain
02 engineering and technology
Core temperature
Geotechnical Engineering and Engineering Geology
Heat stress
Actual cost
Hot underground mines
020401 chemical engineering
Geochemistry and Petrology
Air temperature
Statistics
Metabolic rate
Environmental science
Clothing insulation
Relative humidity
0204 chemical engineering
lcsh:Mining engineering. Metallurgy
021101 geological & geomatics engineering
Subjects
Details
- Language :
- English
- ISSN :
- 20952686
- Volume :
- 30
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- International Journal of Mining Science and Technology
- Accession number :
- edsair.doi.dedup.....8e2f218a48c56eaa8895fcf57b902eb8