刘臻真, 王义朋, 骆建宇, 方四新, 张庆波. 基于CadnaA软件的某厂风机区噪声模拟计算和治理研究[J]. 职业卫生与应急救援, 2025, 43(3): 389-394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240702
引用本文: 刘臻真, 王义朋, 骆建宇, 方四新, 张庆波. 基于CadnaA软件的某厂风机区噪声模拟计算和治理研究[J]. 职业卫生与应急救援, 2025, 43(3): 389-394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240702
shu
LIU Zhenzhen, WANG Yipeng, LUO Jianyu, FANG Sixin, ZHANG Qingbo. Simulating calculation and control of noise in the fan area of a plant based on CadnaA[J]. Occupational Health and Emergency Rescue, 2025, 43(3): 389-394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240702
Citation: LIU Zhenzhen, WANG Yipeng, LUO Jianyu, FANG Sixin, ZHANG Qingbo. Simulating calculation and control of noise in the fan area of a plant based on CadnaA[J]. Occupational Health and Emergency Rescue, 2025, 43(3): 389-394. DOI: 10.16369/j.oher.issn.1007-1326.2025.240702
shu

基于CadnaA软件的某厂风机区噪声模拟计算和治理研究

Simulating calculation and control of noise in the fan area of a plant based on CadnaA

    摘要
  • 摘要:
    目的 利用CadnaA噪声模拟软件对噪声源和噪声声级水平进行数值模拟，分析噪声声源贡献度与声场分布情况，为工作场所噪声治理提供科学依据。
    方法 以某厂风机区作为研究对象，对该区域各噪声源进行识别、检测，并进行岗位接触情况调查；再结合CadnaA软件数值模拟情况，分析该区域的声场分布情况和主要声源对风机区人行道声环境的影响和贡献度，并评估噪声治理效果。
    结果 该区风机以及配套电机的声压级水平为87.8 ~ 99.7 dB（A），大型风机配套电机散热风口的噪声值均达到90 dB（A）以上，除尘器与过滤箱的声压级水平为93.8 ~ 99.2 dB（A）。风机区北侧人行通道噪声均在80 dB（A）以下，南侧人行通道各点位噪声为80.7 ~ 86.6 dB（A）。噪声模拟分析表明，靠近风机区南侧的7台设备对该区点位噪声贡献度超过70%。对影响较大的声源M104A风机、M104过滤箱、LG1除尘器、M109A风机和M105风机采取安装隔声罩、消声器以及隔声包扎等针对性的降噪措施。隔声罩和消声器均使用针对中低频噪声的高面密度板加阻尼层的复合结构，从而增强隔声效果和减少振动。采取降噪措施后，南侧通道各点位噪声降低了3.8 ~ 8.9 dB，通道的噪声水平低于78.6 dB（A）。同点位软件计算值与实际检测值的误差在-0.2 ~ 1.4 dB范围内，误差均在可接受范围内（< 3 dB）。
    结论 使用CadnaA噪声模拟软件来模拟车间内噪声的衰减传播并分析噪声贡献度具有一定的可行性，可为工作场所噪声的治理提供有益的思路。

     

    Abstract:
    Objective To perform numerical simulation using CadnaA noise modeling software to analyze noise sources and sound pressure levels, assess the contribution of different noise sources and the distribution of the sound field, and provide scientific evidence for workplace noise control.
    Methods A fan area in a factory was selected as the study site. Noise sources in this area were identified, measured, and investigated regarding occupational exposure. Based on simulations using CadnaA software, the spatial distribution of the sound field and the impact and contribution of major noise sources on the pedestrian walkway in the fan area were analyzed. The effectiveness of noise control measures was also evaluated.
    Results The sound pressure levels of the fans and supporting motors in the area ranged from 87.8 to 99.7 dB(A). The noise levels at the cooling vents of large fan motors exceeded 90 dB(A). The sound pressure levels of the dust collector and filter box ranged from 93.8 to 99.2 dB(A). Noise levels along the northern walkway of the fan area were below 80 dB(A), while those along the southern walkway ranged from 80.7 to 86.6 dB(A). Simulation analysis indicated that seven devices near the southern side of the fan area contributed over 70% of the noise at various measurement points. Targeted noise reduction measures, including installing acoustic enclosures, silencers, and sound-insulating wraps, were implemented for major noise sources such as the M104A fan, M104 filter box, LG1 dust collector, M109A fan, and M105 fan. Both enclosures and silencers were constructed with high surface density panels and damping layers specifically designed for medium- and low-frequency noise, enhancing sound insulation and reducing vibration. After implementing these noise reduction measures, noise levels at southern walkway points decreased by 3.8 to 8.9 dB, with all levels falling below 78.6 dB(A). The discrepancy between simulation results and actual measurements at the same locations ranged from -0.2 to 1.4 dB, all within an acceptable error margin (< 3 dB).
    Conclusions Using CadnaA noise simulation software to model noise attenuation and analyze noise contribution in workshops is feasible and can provide useful insights and references for workplace noise control.

     

    • HTML全文
    • 参考文献(18)
    • 相关文章
    • 施引文献
  • 资源附件(0)

/

返回文章
返回