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NUMERICAL ASSESSMENT AND OPTIMAL ALLOCATION PLAN FOR PLANT NOISE CONTROL

机译:植物噪声控制的数值评估和最优分配方案

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Inadequate noise simulation, identification, and strategy often cause dreadful plant layout. This unacceptable abatement results in the tremendous cost and inefficiency of noise reduction. To minimize the influence of machine noise along the plant boundary, the advances of optimal allocation planning and appropriate noise abatement on machine are then progressed in this paper. By using a sixteen-station sound monitoring system and the gradient numerical method - EPFM (Exterior Penalty Function Method), the numerical assessment is thus achieved, accordingly. Introducing the optimal design data of equipment's locations and noise reduction value into the ENM (Environmental Noise Model), a commercial sound simulation package, the predicted noise contour map of the plant is moreover accomplished. The noise check of noise map along plant's boundary is then furthermore approached to confirm the accuracy and acceptance of the numerical result. Noise control is important and essential in the process plant, where the noise level is restricted by both Occupational Safety & Health Act (OSHA) and local noise regulation. In this paper; we (1) develop a mathematical model for economic plant noise control system, (2) give the proper allocation, (3) simulate the acoustic distribution within the plant, and (4) compare noise levels with local noise regulations. The numerical technique in both adjusting the optimal allocations and searching for the best noise reduction to the machine is fully demonstrated; thereafter, the verification of plant's noise is attained using ENM. With the simulated results, it is shown that this paper absolutely provides an approachable method, which is very effective, economical and applicable in plant's noise control with profound insight.
机译:噪声模拟,识别和策略不足通常会导致可怕的工厂布局。这种不可接受的减少导致巨大的成本和降低噪声的效率低下。为了最大程度地减少沿工厂边界的机器噪声的影响,本文对优化分配计划和对机器进行适当的噪声消除进行了研究。通过使用十六站式声音监控系统和梯度数值方法-EPFM(外部罚函数法),可以相应地实现数值评估。通过将设备位置和降噪值的最佳设计数据引入到商业声仿真包ENM(环境噪声模型)中,还可以完成工厂的预测噪声轮廓图。然后,沿着工厂边界对噪声图进行噪声检查,以确认数值结果的准确性和可接受性。噪声控制在加工厂中是重要且必不可少的,在该工厂中,噪声水平受到《职业安全与健康法》(OSHA)和当地噪声法规的限制。本文我们(1)建立经济型工厂噪声控制系统的数学模型,(2)给出适当的分配,(3)模拟工厂内的声音分布,(4)将噪声水平与当地噪声法规进行比较。充分展示了在调整最佳分配和寻找最佳降噪效果方面的数值技术。之后,使用ENM对工厂的噪音进行验证。仿真结果表明,本文绝对提供了一种可行的方法,该方法非常有效,经济并且可广泛应用于工厂的噪声控制中,具有深刻的见解。

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