Mining Project: Design of Proximity Systems for Underground Mobile Equipment
To develop guidelines that the mining industry and regulatory agencies could use in the design and implementation of proximity detection technology for mobile equipment in underground coal mines.
Coal mining deaths, for surface and underground mining combined, dropped from 20 in 2013 to 16 in 2014—the lowest number of coal mining deaths ever recorded annually in the United States. Of those 16, the majority (10) occurred in underground coal. Six of those occurred when the miner was either struck or pinned by mobile haulage equipment. According to 2010-2014 data from the Mine Safety and Health Administration (MSHA), there are an average of 6.2 fatal accidents per year of this type. In each of the previous five years, underground mobile haulage equipment was the source of the majority of fatalities in underground coal mining. MSHA has published a proposed rule for proximity detection systems on mobile equipment in underground mines.
Surveillance data from MSHA, along with input from mining industry stakeholders, have defined the need for design guidelines to develop advanced proximity systems for mobile equipment. To address this need, this project research will provide guidance and information to MSHA and proximity system manufacturers to improve proximity detection systems for the protection of underground personnel from accidents and fatalities caused by underground mobile haulage equipment.
This project has two research aims designed around several research questions, as follows:
- What are the design parameters for proximity warning systems on mobile haulage equipment that provide optimum protection for underground workers while ensuring they cause no additional risk of injury to the operator? What actions should these systems take and when, where, and why should they activate? Should different actions be taken in different parts of the mining operation?
- Do current MSHA-approved systems provide optimum protection or are other proximity detection technologies besides those currently approved for use in underground coal mines needed for mobile underground haulage equipment? Would technologies such as sonar, radar, RFID-based, and other sensor technology apply to underground mobile haulage equipment and what additional protections would these technologies provide? Could new technologies, such as RF wireless access points, be used for triangulate positions of vehicles and workers?
The design guidelines produced by this research will benefit NIOSH stakeholders including regulatory agencies, designers, installers, and those maintaining mine safety systems by defining how proximity systems should function and be evaluated to prevent traumatic injury from pinning and struck-by accidents. Adoption of the design guidelines into standard practices will enforce a consistency about the function and behavior of proximity detection systems which should lead to better acceptance by underground workers. Properly designed proximity detection systems will improve the safety of underground workers, thus causing a reduction in striking and pinning accidents involving underground mobile equipment.
- Engineering Considerations and Selection Criteria for Proximity Warning Systems for Mining Operations
- Improving Safety at Small Underground Mines: Proceedings: Bureau of Mines Technology Transfer Seminar
- Innovative Safety Interventions: Feasibility of Using Intelligent Video for Machinery Applications
- Intelligent Proximity Detection to Improve Miner Safety
- Intelligent Safety Technology for Mining Machinery
- Laboratory Investigation of Seat Suspension Design Performance during Vibration Testing
- Proximity Detection
- Recommendations for Evaluating & Implementing Proximity Warning Systems on Surface Mining Equipment
- Self-Reported Musculoskeletal Symptoms Among Operators of Heavy Construction Equipment
- Task Analysis
- Page last reviewed: 10/28/2016
- Page last updated: 10/28/2016
- Content source: National Institute for Occupational Safety and Health, Mining Program