The development of an analytical method for constructing noise contours

Abstract

Noise is one of the most pervasive occupational health problems. Noise contours provide useful information by clearly identifying areas where noise hazards exist. This study finds an efficient algorithm for computing sound level in industrial buildings that accounts for reverberation effects. This study proposes an analytical image method to calculate workplace noise distribution by using machinery noise labeling. Contours are then obtained by joining locations with equal noise levels using commercially available software. To demonstrate the application of the proposed method, a manufacturing plant building is considered. The computation algorithm accounts for distance and sound reflection to construct noise contours. The proposed approach could be used in industry for noise management when designing new plant buildings and installing machines. Practical applications: Machine noise emission information will be widely used in practice to evaluate the potential and performance of noise levels in industrial buildings. Plant buildings should be designed to prevent or minimize any risks to health or safety resulting from the emission of noise. The construction of noise contours will have direct implications for the hearing conservation program.