Optimizing situational awareness for operators of underground mining heavy equipment

优化地下采矿重型设备操作员的态势感知

• 批准号: DDG-2015-00034
• 负责人: Godwin, Alison
• 金额: $ 0.73万
• 依托单位: Laurentian University of Sudbury
• 依托单位国家: 加拿大
• 项目类别: Discovery Development Grant
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612437
• 关键词: Optimizing; situational; awareness; operators; underground

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.

采矿业持续报告重型设备的高死亡率，这些事故通常与能见度问题有关。提高重型设备操作员的能见度和危险检测仍然是采矿业和其他几个具有类似能见度问题的行业的关键目标。从闭路电视屏幕到视听危险指示器和RFID标签系统的复杂性范围的接近检测系统已被用于各种重型设备。许多轻型客车现在配备了备份视频监视器，以帮助操作员在倒车过程中。这些系统的主要目标是提高操作员的态势感知能力，并改善操作员对机器周围障碍物的检测。如果正确实施，接近检测系统有可能提高采矿机械操作员的态势感知。迄今为止，采矿业尚未采用接近检测标准，尽管几家制造商正在销售具有此目的的系统。这些系统的适当人体工程学设计对于减少与安全性相关的事故至关重要，而不会增加分心驾驶的额外危险。目前还没有足够的研究来自信地向采矿业推荐任何系统。拟议的研究计划将确定改进采矿业重型设备操作员危险检测的最佳方法。在这项研究计划的高潮，研究人员将能够告知业界的最佳实践，以提高障碍物检测能力，并不增加身体或认知工作量的方式，将信息系统实施到操作员的工作空间。这项工作有可能提高地下重型设备操作员以及采矿环境中行人的安全性。