工业工程 ›› 2016, Vol. 19 ›› Issue (3): 109-114.

• 实践与应用 • 上一篇    下一篇

综掘工作面人因失误模型

  

  1. 中国矿业大学 矿业工程学院,江苏 徐州,221116
  • 出版日期:2016-06-30 发布日期:2016-08-31
  • 作者简介:戚星(1992-),江苏省人,硕士研究生,主要研究方向为工业工程、矿井人机可靠性、人因工程.
  • 基金资助:

    中央高校基本科研业务费专项资助项目(2010QNA34)

Human Error Model of Fully-mechanized-heading Face

  1. School of Mines China University of Mining and Technology,Xuzhou 221116,China
  • Online:2016-06-30 Published:2016-08-31

摘要:

煤矿综掘工作面是由人、机器设备和环境组成的复杂生产系统,其工作面环境条件易变、作业空间狭窄、视觉环境差等,对机器设备的可靠性,以及工人的作业效率及身心健康都有重要的影响。通过理论和实际调研的结合,在研究综掘工作面人-机-环境关系的基础上,借鉴统计理论,建立人因失误模型,运用参数估计进行统计分析,量化人因失误致因因子,求解人子系统的可靠性指标,深入分析人因失误行为发生的类型、行为因子。

关键词: 综掘工作面, 人因失误模型, 可靠性

Abstract:

The man-machine environment of fully-mechanized-heading face is a complex system which?is composed of people, machinery, equipment and environment. Its various working environments, with narrow operation space and poor visual condition, has important influence on the reliability of the machinery and equipment, as well as on the efficiency of the workers and their physical and mental health. Through the combination of theory and practice research, the research on the relationship of digging work face with machine and environment, and with the statistical theory for reference, a human error model is established. Using the statistical analysis of parameter estimation, human error factors are quantitatively analysed, solving the reliability index of the subsystems, and analysing the type of behavior and behavior factors causing human errors.

Key words: fully-mechanized-heading face, human error factor model, reliability index system