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Grant: Collaborative Research and Development Grants

Brock University

$39,925.00

Development of a heat strain estimator algorithm control for personal cooling in ultra-deep mining

EF 2018-19

Résumé
One occupation featuring continuous high levels of heat stress is ultra-deep mining, with the rock face at*temperatures approaching 60°C and chamber temperatures commonly at 40°C with high humidity. Thus, even*moderate physical work can cause miners to quickly exceed existing occupational heat exposure guidelines and*increase risk of heat illness. An extra risk is the prolonged transport to surface medical facilities. Beyond health*and safety concerns, productivity is reduced due to an inefficient work-rest regime. Further, the achievable ore*depths are limited by cautious heat stress management.*Currently, the primary strategy for reducing thermal stress in ultra-deep mining is by cooling and ventilating*mine chambers, with the penalty of very high energy requirements and costs. A potential alternative for*occupational cooling are individual personal cooling systems, where cooling is customized to the individual.*Beyond improving worker health, this approach has the economic benefit of large energy savings through*reducing the need for wholesale cooling of large mining chambers.*Jannatec Technologies, based in Sudbury ON, is developing a portable Active Cooling Vest to decrease the risk*of heat stress for miners working at ultra-deep depths, with cooling intensity individualized based on a*combination of environmental conditions, activity levels, and physiological feedback. The present proposal*supports this target through developing a Heat Strain Estimator Algorithm (HSEA) to regulate the cooling of*this Active Cooling Vest. This will be accomplished by: 1) developing a model to predict core temperature*from heart rate and skin temperature; 2) developing the HSEA to predict overall heat production during*different mining tasks; 3) Incorporate and test the HSEA's ability to serve as a health warning system and to*control a personal cooling system to reduce heat strain in the lab and during actual mining. The overall goal is*to greatly reduce heat strain and increase productivity in ultra-deep mining.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
515594-2017
Name nom
Cheung, Stephen
Department département
Kinesiology
Organization id
22
Institution établissement
Brock University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
39925
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
6400
Research subject group en
Life sciences research related to human health and disease
Research subject group fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Research subject en
Life sciences research related to human health and disease
Research subject fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Partie
2
Nb partie
2
Application title
Development of a heat strain estimator algorithm control for personal cooling in ultra-deep mining
Keyword
NSERC
Application summary
One occupation featuring continuous high levels of heat stress is ultra-deep mining, with the rock face at*temperatures approaching 60°C and chamber temperatures commonly at 40°C with high humidity. Thus, even*moderate physical work can cause miners to quickly exceed existing occupational heat exposure guidelines and*increase risk of heat illness. An extra risk is the prolonged transport to surface medical facilities. Beyond health*and safety concerns, productivity is reduced due to an inefficient work-rest regime. Further, the achievable ore*depths are limited by cautious heat stress management.*Currently, the primary strategy for reducing thermal stress in ultra-deep mining is by cooling and ventilating*mine chambers, with the penalty of very high energy requirements and costs. A potential alternative for*occupational cooling are individual personal cooling systems, where cooling is customized to the individual.*Beyond improving worker health, this approach has the economic benefit of large energy savings through*reducing the need for wholesale cooling of large mining chambers.*Jannatec Technologies, based in Sudbury ON, is developing a portable Active Cooling Vest to decrease the risk*of heat stress for miners working at ultra-deep depths, with cooling intensity individualized based on a*combination of environmental conditions, activity levels, and physiological feedback. The present proposal*supports this target through developing a Heat Strain Estimator Algorithm (HSEA) to regulate the cooling of*this Active Cooling Vest. This will be accomplished by: 1) developing a model to predict core temperature*from heart rate and skin temperature; 2) developing the HSEA to predict overall heat production during*different mining tasks; 3) Incorporate and test the HSEA's ability to serve as a health warning system and to*control a personal cooling system to reduce heat strain in the lab and during actual mining. The overall goal is*to greatly reduce heat strain and increase productivity in ultra-deep mining.