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Haul truck safety and virtual environments training

机译：牵引车安全和虚拟环境培训

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On average, there are approximately 10 fatal haul truck accidents per year. The most common causes for haul truck accidents include mechanical problems, inadequate training and insufficient road/berm maintenance. Due to the frequency and magnitude of haul truck accidents, new training methods are being investigated. With the widespread availability of computers and new technology becoming more reasonably priced, the ability to incorporate computer-based training for miners is becoming more possible. It has been shown that computer-based training is just as effective in knowledge acquisition as traditional lectures, and computer-based training can lead to a significant increase in the retention of material (Williams and Zahed, 1996). Studies have also shown that more engaging training methods lead to more effective knowledge acquisition (Burke et al.,2006). A supplemental system for current and new miner training to address the common causes of fatal accidents was developed. The training system is a virtual preshift inspection of a haul truck, and it can train new haul truck operators to identify parts that look defective. The training will increase an operator's ability to recognize problematic parts and correctly identify the corrective action needed. Increasing the quality of training by providing an engaging, simulated hands-on environment will lead to safer behaviors by trainees, which will ultimately lead to fewer accidents and fatalities.
机译：每年平均大约有10起致命的运输卡车事故。导致运输卡车事故的最常见原因包括机械问题，培训不足和道路/停车位维护不足。由于运输卡车事故的频率和严重程度，正在研究新的培训方法。随着计算机的广泛普及和新技术的定价变得更加合理，为矿工提供基于计算机的培训的能力变得越来越有可能。研究表明，基于计算机的培训在知识获取方面与传统讲座一样有效，基于计算机的培训可以大大提高材料的保留率（Williams和Zahed，1996）。研究还表明，更具吸引力的培训方法会导致更有效的知识获取（Burke等人，2006）。开发了一个针对当前和新矿工培训的补充系统，以解决致命事故的常见原因。该培训系统是卡车的虚拟预班检查，它可以培训新的卡车操作员以识别看似有缺陷的零件。培训将提高操作员识别有问题的零件并正确识别所需的纠正措施的能力。通过提供一个引人入胜的模拟动手环境来提高培训质量，将使受训人员的行为更加安全，最终将减少事故和死亡人数。

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