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The development of statistical indices for the evaluation of hazards in longwall face operations.

机译：开发用于评估长壁工作面危险的统计指标。

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摘要

This study evaluates the relationship between the probability of occurrence of an injury of a given degree to a coal miner working underground in longwall or room and pillar mining. Factors considered in the analysis include age, type of experience and occupation of a miner. In addition, the relationships between "fatal" versus "no injury," "disabling" versus "no injury," "days lost" versus "no injury," and "medical" versus "no injury" in longwall mining are also considered in this study.; The analysis utilizes the 1985 data on injured miners and marginal distributions on the uninjured miners provided by Butani's (1986) demographic survey. The logistic model is utilized in estimating the parameters pertaining to significant categories of the variables of interest (i.e., type of mining system, experience, age, and occupation of a miner). The results are transformed into indices (odds ratios) which are used to compare and contrast the various categories in a given variable with respect to occurrence of an injury of a given degree. The results reveal significant categories for age, mining system and occupation variables.; The accident and injury problem is examined through the use of a logistic model with an assumption that not all coal face miners are subjected to the same risk. The complex nature of the problem is revealed by a number of complications, e.g., the problem of accurate information on the uninjured miners in relation to the overall analysis. Despite this problem, the application of the logistic model in analyzing accident and injury data represents a major step in the development of sound statistical models that relate to the total picture of improving safety in underground coal mines.
机译：这项研究评估了在长壁或机房地下工作的煤矿工人和支柱开采中给定程度的伤害发生概率之间的关系。分析中考虑的因素包括年龄，经验类型和矿工职业。此外，在长壁开采中还考虑了“致命”与“无伤害”，“致残”与“无伤害”，“损失的天数”与“无伤害”之间的关系以及“医疗”与“无伤害”之间的关系。这项研究。;该分析利用了Butani（1986）人口统计调查提供的1985年受伤矿工的数据以及未受伤矿工的边际分布。逻辑模型用于估计与感兴趣变量的重要类别有关的参数（即采矿系统的类型，经验，年龄和矿工的职业）。将结果转换为指数（奇数比），用于比较和对比给定变量中各种类别相对于给定程度的伤害的发生。结果揭示了年龄，采矿系统和职业变量的重要类别。通过使用逻辑模型检验事故和伤害问题，并假设并非所有采煤工人都面临相同的风险。问题的复杂性体现在许多复杂方面，例如，与整体分析有关的未受伤矿工的准确信息问题。尽管存在这个问题，但逻辑模型在分析事故和伤害数据中的应用仍代表着发展可靠的统计模型的重要一步，这些统计模型与改善地下煤矿安全性的总体状况有关。

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  • 作者

    Phiri, Joseph Kaulanda.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Mining.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 178 p.
  • 总页数 178
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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