A study on the characteristic curve derivation and analysis of Risk(R) and Time(t) through the near miss accident

Jea Hyun Kim, Seung Ho Kim
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Abstract

The purpose of this study is to find the key factors to reduce the damage caused by accidents by expressing the correlation between risk (R) and time (t) for near-miss accidents as a curve through literature review and inducing it as a mathematical function. In other words, it is to investigate various near-miss accidents that occur in industrial sites based on key factors and use them as learning materials to reduce the damage of accidents with the strengthened individual capabilities of workers. In addition, a simulation experiment was conducted to increase the realism of the change in risk (R) according to time (t). The proceeding method is first expressed as a curve of risk (R) and time (t) according to literature review, and second, the stages of prediction → monitoring → response discussed in literature review are distinguished from the corresponding curve. Third, the time required for each step is reviewed through simulation, and fourth, a function with a curve similar to the corresponding curve is derived. Fifth, analyze the R-t characteristic curve through the function and review the key elements. Here, the meaning of the simulation experiment is to distinguish the stages of thinking from the theoretically obtained curve to the stages of prediction→monitoring→response, and to emphasize the importance of the time required for each stage. The result obtained through the risk function (R(t)) is, First, it is a method of preventive activities that reduce the size of the risk itself. Currently, in Korea, efforts are being strengthened to prevent accidents through risk assessment. Second, it is a method of responding to an accident by reducing the time required (Δt1) to reach the maximum risk. This is a key element to be found in this study based on the resilience theory, and the effectiveness of education can be enhanced by specifying the time required (Δt1) for the accident process. The conclusion of this study is that it is as important to strengthen the individual's ability to increase the size of b, that is, to improve judgment immediately after an accident, as much as to prevent accidents by reducing the size of a through function , ( 0 < t ≤ c ). Therefore, the way to strengthen individual capacity to reduce the damage caused by an accident is to add information on the time required (Δt1) in the near-miss investigation and use it as an educational material. This provides realistic help for recognition and judgment of individual thinking.
近靶事故风险(R)和时间(t)特征曲线的推导与分析研究
本研究的目的是通过文献综述,将险情事故的风险(R)与时间(t)的相关关系表示为曲线,并将其归纳为数学函数,从而找到降低事故损害的关键因素。也就是说,根据关键因素对工业现场发生的各种险情事故进行调查,并以此为学习材料,通过加强工人个人能力来减少事故的危害。此外,还进行了仿真实验,以增加风险(R)随时间(t)变化的真实感。 首先根据文献综述,将上述方法表示为风险(R)和时间(t)的曲线,其次,将文献综述中讨论的预测→监测→响应阶段与相应的曲线区分开来。第三,通过仿真回顾了每一步所需的时间,第四,导出了与相应曲线相似的函数。第五,通过函数分析R-t特征曲线,回顾关键要素。这里,模拟实验的意义在于区分从理论得到的曲线到预测→监测→响应的思维阶段,并强调每个阶段所需时间的重要性。 通过风险函数(R(t))得到的结果是:首先,它是一种降低风险本身规模的预防性活动方法。目前,韩国正在加强通过风险评估预防事故的努力。其次,它是一种通过减少达到最大风险所需的时间来响应事故的方法(Δt1)。这是本研究基于弹性理论发现的一个关键因素,通过指定事故过程所需的时间(Δt1)可以提高教育的有效性。 本研究的结论是,增强个体的能力,增加b的大小,即在事故发生后立即提高判断力,与通过减小a通过函数的大小来防止事故发生同等重要,(0 <T≤c)。因此,加强个人能力,减少事故损失的方法是增加事故调查所需时间的信息(Δt1),并将其作为教育资料使用。这为个体思维的认识和判断提供了现实的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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