使用声学评估全球指数来预测工业房间中的噪声并优化机械和工作站的位置。
The use of a global index of acoustic assessment for predicting noise in industrial rooms and optimizing the location of machinery and workstations.
作者信息
Pleban Dariusz
机构信息
Central Institute for Labour Protection - National Research Institute (CIOP-PIB), Poland.
出版信息
Int J Occup Saf Ergon. 2014;20(4):627-38. doi: 10.1080/10803548.2014.11077072.
This paper describes the results of a study aimed at developing a tool for optimizing the location of machinery and workstations. A global index of acoustic assessment of machines was developed for this purpose. This index and a genetic algorithm were used in a computer tool for predicting noise emission of machines as well as optimizing the location of machines and workstations in industrial rooms. The results of laboratory and simulation tests demonstrate that the developed global index and the genetic algorithm support measures aimed at noise reduction at workstations.
本文描述了一项旨在开发一种用于优化机器和工作站位置的工具的研究结果。为此开发了一种机器声学评估的全局指标。该指标和遗传算法被用于一种计算机工具中，以预测机器的噪声排放，并优化工业厂房内机器和工作站的位置。实验室和模拟测试的结果表明，所开发的全局指标和遗传算法有助于采取旨在降低工作站噪声的措施。
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