Human errors in arbitrated mining and tunneling partially contributed to the major mining accidents. For a comprehensive evaluation of the effect of human error factors on the accidents on tungsten mine heading face, this paper established a human error evaluation system by analyzing the relationship among man, machine and environment. By applying G1 improved fuzzy algorithm method and surveyed data, a model of human error factors is founded to identify important affecting factors. The results show that the highest impact in the human error factors model is environment, followed by human elements and equipments. The evaluation model provides theoretical and practical supports for the prevention of major accidents in tungsten mining heading face caused by human errors.%钨矿掘进工作面人因失误是导致重大事故发生的重要因素之一.为综合评价钨矿掘进工作面的人因失误问题,以人、机和环境三个影响因素为出发点,分析掘进工作面人-机-环境系统的关系,识别人因失误的影响因子,建立人-机-环境系统的人因失误评价体系.引入G1法改进模糊算法构建了人因失误评价模型,并结合调查统计数据,识别重要的影响因素.应用实例分析表明,人因失误致因模型中影响程度最高的是环境因素,其次是人的因素和设备因素等,该评价模型有助于对钨矿掘进工作面人因失误的预防提供理论与实践支持.
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