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Development and application of the Safe Performance Index as a risk-based methodology for identifying major hazard-related safety issues in underground coal mines.

机译：开发和应用“安全绩效指数”作为一种基于风险的方法，用于识别地下煤矿中与危害相关的主要安全问题。

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摘要

The underground coal mining industry has been under constant watch due to the high risk involved in its activities, and scrutiny increased because of the disasters that occurred in 2006-07. In the aftermath of the incidents, the U.S. Congress passed the Mine Improvement and New Emergency Response Act of 2006 (MINER Act), which strengthened the existing regulations and mandated new laws to address the various issues related to a safe working environment in the mines. Risk analysis in any form should be done on a regular basis to tackle the possibility of unwanted major hazard-related events such as explosions, outbursts, airbursts, inundations, spontaneous combustion, and roof fall instabilities. One of the responses by the Mine Safety and Health Administration (MSHA) in 2007 involved a new pattern of violations (POV) process to target mines with a poor safety performance, specifically to improve their safety. However, the 2010 disaster (worst in 40 years) gave an impression that the collective effort of the industry, federal/state agencies, and researchers to achieve the goal of zero fatalities and serious injuries has gone awry.;The Safe Performance Index (SPI) methodology developed in this research is a straight-forward, effective, transparent, and reproducible approach that can help in identifying and addressing some of the existing issues while targeting (poor safety performance) mines which need help. It combines three injury and three citation measures that are scaled to have an equal mean (5.0) in a balanced way with proportionate weighting factors (0.05, 0.15, 0.30) and overall normalizing factor (15) into a mine safety performance evaluation tool. It can be used to assess the relative safety-related risk of mines, including by mine-size category.;Using 2008 and 2009 data, comparisons were made of SPI-associated, normalized safety performance measures across mine-size categories, with emphasis on small-mine safety performance as compared to large- and medium-sized mines. The accident rates (NDL IR, NFDL IR, SM/100) of very small and small mines in 2008 and 2009 were less than those of medium and large mines. The data indicates a heavy occurrence of very severe injuries in a number of very small and small mines.;In another application which is a part of this research, the six normalized safety measures and the SPI are used to evaluate the risk that existed at mines in the two years preceding the occurrence of a fatality. This mine safety performance tracking method could have been helpful to the companies, state agency, or MSHA in recognizing and addressing emerging problems with actions that may have been able to prevent high-risk conditions, the fatality, and/or other serious injuries. The approach would have given scrutiny to the risk of mines that encompassed 74% of the fatalities during 2007-2010.;In order to assess the SPI as a comparable risk measurement tool, a traditional risk approach is also developed using data embracing frequency and severity in the final equation to analyze the relative risk for all underground coal mines for the years 2007–2010. Then, the SPI is compared with this traditional risk analysis method to demonstrate that the results attained by either method provide the relative safety-related risk of underground coal mines regarding injuries and citations for violations of regulations. The comparison reveals that the SPI does emulate a traditional approach to risk analysis. A correlation coefficient of –0.89 or more was observed between the results of these two methodologies and either can be used to assist companies, the Mine Safety and Health Administration (MSHA), or state agencies in target-ing mines with high risk for serious injuries and elevated citations for remediation of their injury and/or violation experience. The SPI, however, provides a more understandable approach for mine operators to apply using measures compatible with MSHA’s enforcement tools.;These methodologies form an all-encompassing approach that can be used to assist companies, the MSHA, or state agencies in targeting mines with high risk for serious injuries and elevated citations. Once targeted as high risk, mines can then pursue appropriate intervention to remediate their violation and/or injury experience. This research may help in plugging the gap in the safety system and better pursue the goal of zero fatalities and serious injuries in the underground coal mines.
机译：由于地下煤矿开采活动的高风险，因此一直受到密切关注，由于2006-07年发生的灾难，对地下采矿业的审查也有所增加。事故发生后，美国国会通过了《 2006年矿山改进和新紧急响应法》（《矿工法》），该法加强了现有法规并要求制定新法律以解决与矿山安全工作环境有关的各种问题。应该定期进行任何形式的风险分析，以解决与重大有害事件有关的意外事件的可能性，例如爆炸，突出，空袭，淹没，自燃和屋顶不稳。矿山安全与健康管理局（MSHA）在2007年做出的回应之一是采用了一种新的违规模式（POV），以针对安全绩效较差的矿井为目标，特别是为了提高其安全性。但是，2010年的灾难（这是40年来最严重的灾难）给人的印象是，该行业，联邦/州机构和研究人员为实现零伤亡和重伤的目标而付出的共同努力已经变了。安全绩效指数（SPI） ）本研究中开发的方法是一种直接，有效，透明和可重现的方法，可帮助您识别和解决一些现有问题，同时针对需要帮助的（安全性能不佳）矿井。它结合了三种伤害和三种引文度量标准，将其按比例加权因子（0.05、0.15、0.30）和总体归一化因子（15），以均衡的方式缩放为具有相等的均值（5.0），并将其组合到矿山安全性能评估工具中。它可以用来评估与地雷有关的相对安全风险，包括按地雷类别划分的风险。；使用2008年和2009年的数据，对跨地雷类别划分的与SPI相关的标准化安全绩效指标进行了比较，重点是与大中型矿山相比，小矿山的安全性能高。在2008年和2009年，非常小的煤矿的事故发生率（NDL IR，NFDL IR，SM / 100）低于大中型煤矿。数据表明在许多非常小的矿山中严重伤害事故的发生率很高;在本研究的另一部分应用中，使用六种标准化安全措施和SPI来评估矿山中存在的风险在发生死亡之前的两年中。这种防雷安全绩效跟踪方法可能有助于公司，国家机构或MSHA识别并解决可能会预防高风险状况，死亡和/或其他严重伤害的行动中出现的新问题。该方法将仔细检查在2007-2010年期间死亡人数占74％的地雷风险。为了评估SPI作为可比的风险衡量工具，还使用数据包含频率和严重性来开发传统风险方法在最后一个方程中分析所有2007-2010年地下煤矿的相对风险。然后，将SPI与这种传统的风险分析方法进行比较，以证明通过这两种方法获得的结果都提供了地下煤矿因违反法规而受到伤害和引诱的相对安全风险。比较表明，SPI确实模仿了传统的风险分析方法。两种方法的结果之间的相关系数为–0.89或更高，可用于协助公司，矿山安全与健康管理局（MSHA）或州政府机构将重伤风险高的目标矿井瞄准以及较高的被引用来补救其伤害和/或违反行为的经验。但是，SPI为矿山运营商提供了一种更易理解的方法，使他们可以使用与MSHA的执法工具兼容的措施进行应用;这些方法形成了一种全面的方法，可用于协助公司，MSHA或州政府机构以重伤和高引文风险很高。一旦被确定为高风险目标，地雷就可以采取适当的干预措施来补救其违规和/或伤害经历。这项研究可能有助于填补安全系统的空白，并更好地实现地下煤矿实现零伤亡和重伤的目标。

著录项

  • 作者

    Kinilakodi, Harisha.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Mining.;Energy.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 106 p.
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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