邓娜, 梁俭仪, 霍劭欣, 石瑞芬, 郭垚. 佛山市金属制造行业工作场所噪声频谱特征分析J. 职业卫生与应急救援, 2026, 44(1): 44-48. DOI: 10.16369/j.oher.issn.1007-1326.2026.250211
引用本文: 邓娜, 梁俭仪, 霍劭欣, 石瑞芬, 郭垚. 佛山市金属制造行业工作场所噪声频谱特征分析J. 职业卫生与应急救援, 2026, 44(1): 44-48. DOI: 10.16369/j.oher.issn.1007-1326.2026.250211
DENG Na, LIANG Jianyi, HUO Shaoxin, SHI Ruifen, GUO Yao. Analysis of noise spectrum characteristics in metal manufacturing workplaces in FoshanJ. Occupational Health and Emergency Rescue, 2026, 44(1): 44-48. DOI: 10.16369/j.oher.issn.1007-1326.2026.250211
Citation: DENG Na, LIANG Jianyi, HUO Shaoxin, SHI Ruifen, GUO Yao. Analysis of noise spectrum characteristics in metal manufacturing workplaces in FoshanJ. Occupational Health and Emergency Rescue, 2026, 44(1): 44-48. DOI: 10.16369/j.oher.issn.1007-1326.2026.250211

佛山市金属制造行业工作场所噪声频谱特征分析

Analysis of noise spectrum characteristics in metal manufacturing workplaces in Foshan

  • 摘要: 目的 分析佛山市金属制造行业高噪声工作场所的噪声强度和频谱特性,为开展精准化噪声防控及治理提供科学依据。方法 采用立意抽样法,选取佛山市2022—2024年纳入工作场所职业病危害因素专项监测的共218家金属制造企业进行噪声强度测量,并对场所噪声强度 ≥ 85.0 dB(A)的高噪声地点采用Z计权读取频谱数据,运用聚类分析对不同工作场所的噪声频谱特性进行分析。结果 218家金属制造企业中,小微企业共189家(占86.7%)。共对1 182个工作场所进行噪声强度测量,工作场所监测点噪声超过85.0 dB(A)的有802个,噪声超标率为67.8%。聚类分析结果显示,主要噪声源可分为3类:类别1为打磨机、机床设备和抛光机共3种,为低频窄频带噪声;类别2为包装机、冲压机、打孔机、焊机、喷枪和切割机共6种,为中频窄频带噪声;类别3为车床机、剪板机、开料机、折弯机和装配机共5种,为高频窄频带噪声。结论 佛山市金属制造行业的噪声危害程度较为严重,建议企业依据频谱特性采取有效的工程控制措施和听力保护措施。

     

    Abstract: Objective To characterize the noise intensity and spectral profiles in high-noise workplaces within the metal manufacturing industry in Foshan and to provide evidence-based insights for targeted noise control and management measures. Methods A purposive sampling method was employed to select 218 metal manufacturing enterprises in Foshan, which were included in the special monitoring program for occupational hazards in workplaces from 2022 to 2024. Noise intensity measurements were conducted, and for high-noise workplaces with noise levels ≥ 85.0 dB(A), the spectral data were recorded using Z-weighting. Cluster analysis was applied to analyze the noise spectral characteristics across different workplaces. Results Of 218 metal manufacturing enterprises, 189 were micro-and small-scale enterprises (86.7%). A total of 1 182 workplaces were measured for noise intensity, with 802 workplaces (noise non-compliance rate was 67.8%) exceeding 85.0 dB(A). Cluster analysis identified three primary categories of noise sources. Category 1 included three types, namely, grinders, machine tools, and polishing machines, characterized as low-frequency narrow-band noise; Category 2 included six types, namely, packaging machines, stamping machines, punching machines, welding machines, spray guns, and cutting machines, characterized as mid-frequency narrow-band noise; Category 3 included five types, namely, lathes, shearing machines, material cutting machines, bending machines, and assembly machines, characterized as high-frequency narrow-band noise. Conclusions Noise hazards in the metal manufacturing industry in Foshan were relatively severe. It is recommended that enterprises implement effective engineering control measures and hearing protection measures tailored to the noise spectral characteristics identified at workplaces.

     

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