Chapter(12): Advanced Analytics and Health and Safety

CHAPTER DESCRIPTION

The mining industry has a reputation for being a risky business, with health risks that are varied and often quite serious, and miners need to protect themselves accordingly. Nevertheless, mining doesn’t have to be unsafe. With the introduction of strict safety legislation and protocol and advances in safety equipment, the industry has seen its fatality rate drop over time. Although the goal of zero harm has not yet been achieved, it remains the standard that mining companies continue to strive towards. Understanding and being aware of the environment is the first step to preventing illness or injury in the mining workplace. Some common health risks to watch out for in the mining industry include coal dust, noise, whole-body vibration, UV exposure, musculoskeletal disorders, thermal stress, and chemical hazards. The mining industry has made significant improvements in health and safety over the last decade, reducing fatalities and serious injuries. However, the mining industry still has one of the highest rates of fatalities of any industry. Advanced data analytics and auditing the work procedures can dramatically help the mining companies to improve safety and decrease the incidents rates in the mine sites. Developing prediction models can use historical datasets to predict new accidents, injuries, and fatalities. Optimization models can provide practical suggestions to change the procedures and decrease human and machine errors to increase safety. Moreover, the artificial intelligence algorithms can help managers to make better decisions in this field.

CHAPTER CONTENT

  • Introduction to Mining Health and Safety
  • Mine Ventilation
  • Health and Medical Issues in Global Mining
  • Gas and Dust Control
  • Heat, Humidity, and Air Conditioning
  • Radiation Control
  • Noise Hazards and Controls
  • Summary
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Chapter Includes

  • 6 Parts
  • 1 Form