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Sound Level Control Based on Grey System Theory for Protection Against Hearing Damage Risk in Music Entertainment Venues

机译:基于灰色系统理论的声级控制可防止音乐娱乐场所的听力受损风险

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The personnel of entertainment venues are often exposed to music exceeding the maximum permissible sound levels specified in occupational safety and health standards to protect the employees against excessive., harmful exposure to noise. As communication medium and source of aesthetic experience., music is not usually associated with noise - a term denoting an unwanted, annoying sound - therefore the sound levels of music are not monitored in most venues. As a result, both the personnel and the audience are often exposed to sound levels from loudspeakers or headphones that pose a high risk of hearing damage. In this paper we propose a solution intended to reduce the risk of hearing damage by predicting the daily noise exposure level (LEX, 8 h) and automatically limiting the level of reproduced sound. Both the prediction method and the sound level controller are based on the concept of a first-order prediction model GM(l,l) derived from the grey systems theory (GST). The paper presents the results of simulation calculations for different parameters of the prediction model and configurations of sound level adjustment.
机译:娱乐场所的人员经常会接触超过职业安全与健康标准中规定的最大允许声音水平的音乐,以保护员工免受过度,有害的噪声影响。作为传播媒介和审美体验的来源,音乐通常不与噪音相关联(这是一个表示不需要的,令人讨厌的声音的术语),因此,在大多数场所中,音乐的声级都不会受到监控。结果,人员和听众都经常暴露于扬声器或耳机的声级下,这会造成听力受损的高风险。在本文中,我们提出了一种旨在通过预测每天的噪声暴露水平(LEX,8小时)并自动限制再现声音的水平来降低听力受损风险的解决方案。预测方法和声级控制器均基于从灰色系统理论(GST)导出的一阶预测模型GM(1、1)的概念。本文介绍了预测模型的不同参数和声级调整配置的仿真计算结果。

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