Objective approach for analysis of noise source characteristics and acoustic conditions in noisy computerized embroidery workrooms.
It is highly important to analyze the acoustic properties of workrooms in order to identify best noise control measures from the standpoint of noise exposure limits. Due to the fact that sound pressure is dependent upon environments, it cannot be a suitable parameter for determining the share of workroom acoustic characteristics in producing noise pollution. This paper aims to empirically analyze noise source characteristics and acoustic properties of noisy embroidery workrooms based on special parameters. In this regard, reverberation time as the special room acoustic parameter in 30 workrooms was measured based on ISO 3382-2. Sound power quantity of embroidery machines was also determined based on ISO 9614-3. Multiple linear regression was employed for predicting reverberation time based on acoustic features of the workrooms using MATLAB software. The results showed that the measured reverberation times in most of the workrooms were approximately within the ranges recommended by ISO 11690-1. Similarity between reverberation time values calculated by the Sabine formula and measured values was relatively poor (R (2) = 0.39). This can be due to the inaccurate estimation of the acoustic influence of furniture and formula preconditions. Therefore, this value cannot be considered representative of an actual acoustic room. However, the prediction performance of the regression method with root mean square error (RMSE) = 0.23 s and R (2) = 0.69 is relatively acceptable. Because the sound power of the embroidery machines was relatively high, these sources get the highest priority when it comes to applying noise controls. Finally, an objective approach for the determination of the share of workroom acoustic characteristics in producing noise could facilitate the identification of cost-effective noise controls.
Department of Occupational Hygiene, Faculty of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran, mohsen.aliabadi@umsha.ac.ir.
Mohsen
M
Aliabadi
Rostam
R
Golmohammadi
Muharram
M
Mansoorizadeh
D000162:Acoustics; D003201:Computers; D004784:Environmental Monitoring; D006801:Humans; D009622:Noise; D016273:Occupational Exposure / Q000032:analysis* / Q000706:statistics & numerical data; D013783:Textile Industry; D017132:Workplace