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Monitoring Haul Truck Operator Fatigue Using Gyroscope Data

机译:使用陀螺数据监测运输卡车操作员疲劳

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Haul truck drivers are at a high risk of developing fatigue due to the monotonous nature of the work and demanding shift rosters. In the mining industry, fatigue is identifi ed as a major contributing factor in several fatal accidents a year. A number of fatigue detection devices are now available, that can contribute to improved fatigue risk management in the mining industry. This paper describes the technology and algorithms behind one particular product which is both predictive and un-obtrusive to the operator. The Advisory System for Tired Drivers (ASTiD), was developed by Fatigue Management International (FMI) in collaboration with the Loughborough Sleep Research Centre (LSRC), both in the United Kingdom. While this system includes a model of the human circadian rhythm as a bias for predicting expected fatigue risk by time of day, it also uses yaw data generated by a solid-state gyroscope in the horizontal plane. Algorithms analyse this data to determine the level of monotony of actual driving conditions and to detect changes in steering control caused by driver fatigue. During normal levels of attention, a haul truck driver applies continuous, small adjustments to the steering wheel. As the level of fatigue increases, steering adjustments become less frequent and more erratic. Differentiating between these modes of control in the highly variable mining environment is accomplished by chromatic processing of the gyroscope data. This paper will go into some detail explaining the principles behind chromatic processing and the specifi c application of these in detecting fatigue in haul truck operators. Technology in itself is not the solution to addressing operator fatigue, but it plays an important role in ongoing monitoring and maintaining awareness with mining personnel. Furthermore, the specifi c principles behind ASTiD technology support a risk-based approach to fatigue management, allowing optimisation of the mining operation for productivity as well as safety.
机译:由于工作的单调性和较高的换档装载,运输卡车司机呈现出疲劳的高风险。在采矿业中,疲劳是一个致命事故每年的主要贡献因素。现在提供了许多疲劳检测装置,可以有助于提高采矿业的疲劳风险管理。本文介绍了一个特定产品背后的技术和算法,这对操作员来说都是预测和不突兀的。疲劳驾驶员(ASTID)咨询系统是由疲劳管理国际(FMI)制定的,与英国的Loughborough Sleep Research Center(LSRC)合作开发。虽然该系统包括人昼夜节律的模型作为预测预期疲劳风险的偏差,但是它还使用水平平面中的固态陀螺仪产生的偏航数据。算法分析该数据以确定实际驾驶条件的单调水平,并检测由驾驶员疲劳引起的转向控制的变化。在正常的关注程度期间,一辆运输卡车驾驶员对方向盘持续,小调整。随着疲劳程度的增加,转向调整变得不太频繁,更不稳定。通过陀螺数据的色加工来实现在高度可变采矿环境中的这些控制模式之间的区分。本文将详细介绍彩色处理背后的原理,并在拖车运营商检测疲劳中的规格C应用。技术本身并不是解决运营商疲劳的解决方案,但它在持续监测和维持采矿人员的认识方面发挥着重要作用。此外,ASTID技术背后的具体基础原则支持基于风险的疲劳管理方法,允许优化采矿操作的生产率以及安全性。

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