Sensing Technology Applications in the Mining Industry-A Systematic Review
Joana Duarte1, Fernanda Rodrigues2, Jacqueline Castelo Branco1
1Associated Laboratory for Energy, Transports and Aeronautics (PROA/LAETA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
International Journal of Environmental Research and Public Health
|February 25, 2022
Summary
This systematic review explored sensing technologies in the mining industry, finding applications in safety, management, and localization. While progress is evident, underground mining requires significant improvements in areas like ventilation and mapping.
Area of Science:
- Mining Engineering
- Industrial Technology
- Sensor Technology
Background:
- Industry 4.0 drives technological advancements across sectors.
- Real-time analysis of production, environmental, and occupational variables improves quality of life and business.
- The digital evolution of the mining industry remains unclear.
Purpose of the Study:
- To systematically review sensing technology applications in the mining sector.
- To identify how these technologies can aid the mining industry's digital transformation.
- To understand the current state and future potential of smart mining.
Main Methods:
- Systematic literature review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
- Analysis of 29 selected research papers.
- Categorization of sensor applications into safety, management, and localization.
Main Results:
- Sensors are applied in safety, management, and localization across prototype, trial, and implemented phases.
- Underground mining settings show a need for improved mechanisms, particularly in ventilation and mapping.
- Surface mining focuses on slope stability monitoring and prevention.
Conclusions:
- Technological advancement in mining sensors is trending towards increased intelligence.
- Underground mining presents unique safety challenges requiring focused solutions.
- Future mining will be technologically advanced, optimizing processes for people and environmental well-being.
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