Noise map

Noise map

Next-Generation IoT Use Cases across Industry Verticals Using Machine Learning Algorithms

Published in Pethuru Raj Chelliah, Usha Sakthivel, Nagarajan Susila, Applied Learning Algorithms for Intelligent IoT, 2021

T. R. Kalaiarasan, Sruthi Anand, V. Anandkumar, A. M. Ratheeshkumar

This noise monitoring system helps in producing the noise map (Figure 3.7). The noise map is the graphical representation of the sound level of an environment. Number of noise monitoring stations is deployed at different locations of industry. Sound-level sensors used to monitor the data on the noise level from the noise monitoring station (Figure 3.8) will be collected and stored on server or cloud. The collected data can be analyzed and aggregated to generate the noise maps.

Mobile crowdsensing accuracy for noise mapping in smart cities

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Journal Information

Published in Automatika, 2018

Sanja Grubeša, Antonio Petošić, Mia Suhanek, Ivan Đurek

Furthermore, the Environmental Noise Directive [29] requires noise levels to be assessed from road traffic, railways, major airports and industry plants. There is no requirement to assess noise generated by other activities that may arise from construction work, sports and “pleasure” activities (pop concerts). All major cities must meet the requirement to create a noise map, which presents the annual average noise levels at a height of 4 m above the local ground level.

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Next-Generation IoT Use Cases across Industry Verticals Using Machine Learning Algorithms

Mobile crowdsensing accuracy for noise mapping in smart cities