Volume 20, Issue 2 (June 2024)                   IJEEE 2024, 20(2): 125-133 | Back to browse issues page

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Debnath P, Barai D, Mandal R, Sinha A, Saha J, Deyasi A. Novel Architecture for Real-Time Air Pollution Detection and Monitoring for Industrial Applications. IJEEE 2024; 20 (2) :125-133
URL: http://ijeee.iust.ac.ir/article-1-3245-en.html
Novel Architecture for Real-Time Air Pollution Detection and Monitoring for Industrial Applications
Pampa Debnath , Diptadip Barai , Rajorshi Mandal , Ayeshee Sinha , Jeet Saha , Arpan Deyasi
Abstract:   (958 Views)
A novel architecture is proposed in the present paper for detection and monitoring of air pollution at real-time condition following industrial standard, embedded with gas sensors which are able to identify both organic as well as inorganic hazardous contents. A vis-à-vis comparative analysis is carried out with existing literature highlighting cons of most referred circuits, both in component, system and power consumption levels, and a generalized drawback is reported citing their inefficacy for real-time data collection and accuracy level. Detailed review is reported based on qualitative assessments also, and henceforth, justifies the significance of the proposed design; where not only higher ranges of detection are possible, however is also associated with lower power consumption (26.41% and 10.71% respectively compared to the two latest circuits) and finer detection of dust particles even at extremely low concentration. The architecture will help to implicate precautionary steps at real-time condition for controlling the harmful effect in Society.
Keywords: Accuracy level, Air pollution detection, Industrial standard, Organic pollutants, Real-time monitoring
Full-Text [PDF 979 kb]   (300 Downloads)    
Type of Study: Research Paper | Subject: Integrated Circuits: Digital, Analog
Received: 2024/03/29 | Revised: 2024/08/31 | Accepted: 2024/06/04
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.