用人体测量变量计算水平和垂直乘数修正NIOSH提升方程

Moehamad Adi Rochmat, S. Madenda, T. Handhika, E. Ernastuti
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引用次数: 0

摘要

修正NIOSH提升方程是工业中常用的工作系统评估工具。以推荐限重(RWL)和起升指数(LI)形式计算的结果成为改进所实施工作体系的依据。RNLE是NIOSH开发的应用程序,在计算中使用美国人体测量作为常数。一些研究人员,尤其是亚洲的研究人员,认为该应用程序不太适合与美国人有人体测量差异的亚洲人。RNLE应用程序进行的评估是基于进行的工作活动,而不考虑工人的身体姿势。特别地,本应用中HM和VM的计算使用了与人体测量相关的常数。RNLE使用基于工人平均人体测量的常数进行计算。方程中使用的恒定人体测量导致风险计算的结果与工人的身体方面不相对应。采用一个考虑人体测量工人的方程,计算出适当的工作风险值。本研究旨在提出考虑人体测量因素的方程来计算危险因素。用Python编程语言开发方程,可以在信息通信技术领域进一步发展。研究结果表明,RWL和LI计算的平均结果使用的人体测量数据不等于RNLE,因此需要新的方程才能得出更客观的风险值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modifying the Revised NIOSH Lifting Equation using Anthropometric Variables to Calculate Horizontal and Vertical Multipliers
The Revised NIOSH Lifting Equation is a work system assessment tool which often used in industrial world. The calculation result in the form of Recommended Weight Limit (RWL) and the Lifting Index (LI) become the basis for improving the work system carried out. RNLE is an application developed by NIOSH and uses American anthropometry as a constant in its calculations. Some researchers, especially in Asia, consider that the application is less suitable for Asia people who have anthropometric differences with Americans. The assessment carried out by the RNLE application is based on work activities carried out without considering the worker's body posture. In particular, the calculate of HM and VM in this application uses a constant related to anthropometry. RNLE uses the constants based on the average anthropometry of workers in calculation. The constant anthropometry used in the equation led to the results of the risk calculation that does not correspond to physical aspects of workers. It takes an equation that consider anthropometry workers to get the calculation of the value of the appropriate work risk. The study aims to propose equations that consider anthropometry factors to calculate the risk factor. The development of the equation with Python programming language allows further development in the field of information and communication technology. The results of the study shows that the average results of the RWL and LI calculation uses anthropometry data not equal to the RNLE, thus required new equation in order to resulting more objective risk value.
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