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首页> 外文期刊>IIE Transactions on Occupational Ergonomics and Human Factors >Analysis of Fatalities During Maintenance and Repair Operations in the U.S. Mining Sector
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Analysis of Fatalities During Maintenance and Repair Operations in the U.S. Mining Sector

机译:美国采矿业维护和维修过程中的死亡人数分析

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Background: Maintenance and repair work in mining is particularly hazardous and yet has received little focus in ergonomics research. Purpose: In this article, an attempt has been made to determine if patterns can be identified to categorize maintenance and repair fatalities in mining, to compare occurrence of fatalities between coal and metalonmetal sectors, and to use this information to identify safety deficiencies and associated proposed remedial measures. Methods: A classification scheme was developed to identify patterns in fatalities, including proximal causes, tasks, and contributing factors. This scheme was tested to ensure adequacy of the categories, and fatalities were categorized using the scheme. All testing and categorization were done by two of the authors to ensure reliability of the coding scheme. Results: Patterns were successfully identified to categorize the fatalities, and these patterns were different between coal and metalonmetal mines. Coal mines had a greater proportion of electrical-related fatalities, while more fatalities related to potential energy occurred at metalonmetal mines. Most of the fatalities were caused by the victim coming into contact with an object or machine or the victim falling from height, and they occurred most often while the victim was performing maintenance or repair on equipment, cleaning, or removing blockages. The most frequent factors contributing to these incidents were failure to properly de-energize or lock out/tag out equipment, violation of work procedures, missing or inadequate safety equipment, and failure to block equipment properly. Conclusions: The classification approach used was successful in identifying hazard patterns during maintenance and repair fatalities in mining. These patterns identify areas to focus attention when developing interventions to prevent the occurrence of future fatalities.
机译:背景:采矿中的维护和修理工作特别危险,但在人体工程学研究中却很少受到关注。目的:在本文中,我们尝试确定是否可以识别出模式,以对采矿中的维护和修理死亡人数进行分类,比较煤炭和金属/非金属部门之间的死亡人数,并使用此信息来识别安全缺陷和相关的拟议补救措施。方法:制定了分类方案以识别死亡的模式,包括近端原因,任务和贡献因素。测试该方案以确保类别的充分性,并使用该方案对死亡人数进行了分类。所有测试和分类均由两名作者完成,以确保编码方案的可靠性。结果:成功地识别了死亡人数的模式,这些模式在煤矿和金属/非金属矿山之间是不同的。煤矿中与电气相关的死亡人数所占比例更高,而与金属/非金属矿山中的潜在能源相关的死亡人数则更多。大多数死亡是由受害者与物体或机器接触或受害者从高处坠落造成的,这种死亡最常发生在受害者对设备进行维护或修理,清洁或清除堵塞物的过程中。导致这些事件的最常见因素是未能正确关闭设备电源或锁定/挂牌设备,违反工作程序,缺少安全设备或安全设备不足以及未能正确阻塞设备。结论:使用的分类方法成功地确定了采矿中维护和修理人员死亡期间的危险模式。这些模式确定了在制定预防措施以防止未来死亡事故时应引起注意的领域。

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