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工廠噪音訪視程序及改善模擬評估模式研究

In-Situ Identification Process and Assessment Model for the Improvement Simulation of Industrial Noise

摘要


我國製造產業包含各種不同的工廠,其生產機具設備經常產生大量噪音。因此,製造業從業人員的工作環境中,改善工廠噪音是亟待解決的問題之一。由於,目前缺乏一套工廠現場噪音的訪視程序以及對於噪音改善的評估模式,因此,造成許多想改善工廠人員工作環境的事業單位,經常在改善工程施作後,才發現改善效果不如預期。其原因可能為錯估噪音源的傳遞路徑、沒有針對噪音的特定頻率進行改善、誤判主要噪音源之成因及使用錯誤的降噪材料等。此情況嚴重影響事業單位負責人之噪音改善意願。有鑑於此,本研究建立一套工廠現場噪音訪視程序,依序為:廠房佈置、噪音量測以及噪音診斷,經過這些程序分析噪音源之形成原因以及傳遞路徑。根據上述的聲場分析資料,設計出三種噪音改善工程樣態並使用室內聲學軟體EASE 以評估比較其成效,並提出成本─成效分析。本研究所建立之噪音量測分析與改善評估模式,可使事業單位負責人可以得到正確的噪音改善設計樣態且最重要的是,在改善前便知其改善成效及成本,以提高其工程改善之意願。

並列摘要


Manufacturing industry in Taiwan encompass a variety of factories, in which the production equipment often generate high level noises. To meet the requirements of the Labour's Acts, the industry noise is therefore becoming a problem to be urgently solved. Owing to the lack of a set of standard operation process for the in-situ identification of indoors industry noise and the beforehand assessment model for the improvement effectiveness of later noise reduction engineering. Thus as a consequence, many enterprises hesitate to pay efforts for the noise improvement. From the past experiences, those unsuccessful noise improvement engineering are mainly cause by : 1.The misjudgement of the noise transmission path from the noise sources; 2. The misjudgement of the mechanism of the major noise source; 3. Lack of the complete noise spectrum of the indoor sound field; 4. The improper use of noise reduction material. To aim at this, a process of noise source identification of in-situ, measurement of factory noise is established. The procedure follows the sequence of the recognition of the factory layout, indoor sound field measurement and diagnosis, identification of the major noise sources and the transmission paths, mechanism of noise sources investigation. All the works are carry out by using the techniques of the spectral analysis. Based on the analysis data of the sound field, a couple of noise attenuation countermeasures are proposed, and the noise reduction levels of each countermeasure are analyzed and simulated by the software package EASE respectively. The effectiveness of the noise reduction can be compared each other, thus the enterprises are more easily to make decision for the adoption and selection of the noise reduction proposals. Also, the cost-effectiveness analysis of an improvement example for a factory is discussed in the paper, in which three noise improvement configurations have been proposed as well for application references.

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