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An Efficient System Model for Multicasting Measured Noise Value of Polluting Industries
Published in Springer Singapore
Volume: 508
Pages: 377 - 383
In highly densely populated country like India, environmental pollution is a major problem. Specifically, the hot mix plant used for laying roadways is posing a threat to the environment by emitting heavy noise and smoke. This paper proposes an air pollution monitoring system that measures the noise generated from polluting hot mix plant and multicast the acquired noise data to the Central Pollution Control Board (CPCB) and other communication media. Initially, the pressure is acquired from sound source by microphone and then converted to electrical signals in time domain. Applying Fast Fourier Transform converts time function into the spectrum of frequency component to which A-weighting filtering technique is applied. The resulting magnitude is given as the input to the microcontroller to calculate the noise in terms of decibels. The calculated value is compared with the ambient air quality standards in respect of noise and then the appropriate outputs are displayed in LCD. The abnormalities are indicated by red, orange and green LED based on the intensity of the sound levels as heavy, medium and normal respectively. To achieve the centralized monitoring process, the results are multicast using GSM module to facilitate the authorities to take the necessary decision. © Springer Nature Singapore Pte Ltd. 2017.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Proceedings of International Conference on Communication and Networks
PublisherData powered by TypesetSpringer Singapore
Open AccessNo
Authors (4)