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Abstract
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Noise is defined as “unwanted” sound and the workers in industrial workroom are often exposed to noise. Acoustics analysis helps to evaluate and improve noise absorption of the reflecting surfaces. Acoustics treatment aims to control sound reflections within the room. This study investigated a method of dynamic room acoustics analysis in industrial workrooms which was developed using image processing and MATLAB software. This method can be used for collecting data and calculating the noise absorption surface area, and may help to identify the acoustics index of buildings more accurately on the basis of the existing conditions. The proposed method was compared with the classical method through 82 dimensional measurements. The required tools including camera, targets, and checkerboard were installed in the site of experiment. Taking into account the distance between the camera and the fittings of interest, the required data were gathered along the two directions of the hall in order to calculate the length, width, and the height of the fittings. The captured photos in jpg format were saved on a computer and processed using suitable algorithms. To collect the data via the classical method, the data collection stage was repeated using a Laser distance meter Tajima Model F02. Based on the results obtained from dimensional analysis in the Industrial settings, the average sound absorption index measured using the new and the classical method, respectively, was 4.15 and 4.39Sabin·m2. The intra class correlation coefficient between these two methods was 0.989 (R2=0.994). The proposed method as a measurement and monitoring instrument was accurate enough to be used for acoustic analysis of buildings and can be considered as an alternative for the classical method. This method requireslesstimetobeperformedandprovidesmoreaccuratecalculations, thus,itcanbeusedtomaketheright decision regarding the building acoustic condition; moreover, as it is a non-contact analysis method, it can signi
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