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Grant: Discovery Development Grant

Laurentian University of Sudbury

$10,000.00

Optimizing situational awareness for operators of underground mining heavy equipment

FY 2016-17

Summary
The mining industry continues to report high levels of fatalities on heavy equipment, and these incidents have frequently been linked to visibility issues. Enhancing visibility and hazard detection for the operators of heavy equipment remains a critical goal in mining, and several other industries with similar visibility concerns. Proximity detection systems that range in complexity from closed-circuit television screens to audio-visual hazard indicators and RFID tagged systems have been used on a variety of heavy equipment. Many light passenger vehicles now come equipped with back-up video monitors to aid the operator during revering procedures. The main goal of these systems is to improve the situational awareness of the operator and improve obstacle detection around the machine for the operator. Proximity detection systems have the potential to improve situational awareness for operators of mining machinery if implemented correctly. To date, the mining industry has not yet adopted a standard for proximity detection although several manufacturers are marketing systems with this aim. The proper ergonomic design for these systems is critical for reducing visibility-related incidents, without adding an additional hazard of distracted driving into the situation. There is currently insufficient research to confidently recommend any system to the mining industry. The proposed research program will determine the optimal method for improving hazard detection for the operators of heavy equipment in the mining industry. At the culmination of this research program, the researcher will be able to inform the industry on best practice for implementation of informational systems into the operator's work space in a way that improves obstacle detection capability and does not increase physical or cognitive workload. This work has the potential to improve safety for operators of underground heavy equipment, as well as for pedestrians in the mining atmosphere.
Program
Discovery Development Grant
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
DDG-2015-00034
Name nom
Godwin, Alison
Department département
Human Kinetics, School of - Activité physique, école d'
Organization id
26
Institution établissement
Laurentian University of Sudbury
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2015
Award amount
10000
Program id
DDG
Program name en
Discovery Development Grant
Program name fr
Subventions à la découverte axées sur le développement
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
2
Nb partie
2
Application title
Optimizing situational awareness for operators of underground mining heavy equipment
Keyword
NSERC
Application summary
The mining industry continues to report high levels of fatalities on heavy equipment, and these incidents have frequently been linked to visibility issues. Enhancing visibility and hazard detection for the operators of heavy equipment remains a critical goal in mining, and several other industries with similar visibility concerns. Proximity detection systems that range in complexity from closed-circuit television screens to audio-visual hazard indicators and RFID tagged systems have been used on a variety of heavy equipment. Many light passenger vehicles now come equipped with back-up video monitors to aid the operator during revering procedures. The main goal of these systems is to improve the situational awareness of the operator and improve obstacle detection around the machine for the operator. Proximity detection systems have the potential to improve situational awareness for operators of mining machinery if implemented correctly. To date, the mining industry has not yet adopted a standard for proximity detection although several manufacturers are marketing systems with this aim. The proper ergonomic design for these systems is critical for reducing visibility-related incidents, without adding an additional hazard of distracted driving into the situation. There is currently insufficient research to confidently recommend any system to the mining industry. The proposed research program will determine the optimal method for improving hazard detection for the operators of heavy equipment in the mining industry. At the culmination of this research program, the researcher will be able to inform the industry on best practice for implementation of informational systems into the operator's work space in a way that improves obstacle detection capability and does not increase physical or cognitive workload. This work has the potential to improve safety for operators of underground heavy equipment, as well as for pedestrians in the mining atmosphere.
Laurentian University of Sudbury - $10,000 Grant (201… | Canada Spends