research-article

IoT System for Air Pollutants Assessment in Underground Infrastructures

Authors:

Mihaela Balanescu,

Andrei Birdici,

Cristina Mihaela Balaceanu,

Marius Alexandru Dobrea,

Radu-Ioan CiobanuAuthors Info & Claims

ECBS '19: Proceedings of the 6th Conference on the Engineering of Computer Based Systems

Article No.: 10, Pages 1 - 7

https://doi.org/10.1145/3352700.3352710

Published: 02 September 2019 Publication History

Abstract

This paper describes an IoT system capable of capturing information about hazardous working environments and analyzes the health risks associated with increased air pollution. The case study regards the underground transportation systems, which are key components in commuting networks of large cities, providing fast and affordable transport for urban communities. First, a risk analysis of the categories of people working in this space or commuting through the city using the subway was performed. Furthermore, the situation in other similar environments and the main sources of pollution was analyzed. By designing and implementing a WSN system could be managed to gather air quality data and process the sensors measurements. The experimental results consist of a predictive model of PMs emissions which can aid in mitigating air pollution.

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Cited By

Roberts A(2022)Smart Cities, The Internet of Things, and Corporate Social ResponsibilityMachine Learning for Smart Environments/Cities10.1007/978-3-030-97516-6_7(127-148)Online publication date: 6-Apr-2022
https://doi.org/10.1007/978-3-030-97516-6_7
Yu ZChang HYu ZGuo BShi R(2021)Location Selection for Air Quality Monitoring with Consideration of Limited Budget and Estimation ErrorIEEE Transactions on Mobile Computing10.1109/TMC.2021.3065656(1-1)Online publication date: 2021
https://doi.org/10.1109/TMC.2021.3065656
Badicu ASuciu GBalanescu MDobrea MBirdici AOrza OPasat A(2020)PMs concentration forecasting using ARIMA algorithm2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)10.1109/VTC2020-Spring48590.2020.9129390(1-5)Online publication date: May-2020
https://doi.org/10.1109/VTC2020-Spring48590.2020.9129390

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cover image ACM Other conferences

ECBS '19: Proceedings of the 6th Conference on the Engineering of Computer Based Systems

September 2019

182 pages

ISBN:9781450376365

DOI:10.1145/3352700

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 02 September 2019

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ECBS '19

ECBS '19: 6th Conference on the Engineering of Computer Based Systems

September 2 - 3, 2019

Bucharest, Romania

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ECBS '19 Paper Acceptance Rate 25 of 49 submissions, 51%;

Overall Acceptance Rate 25 of 49 submissions, 51%

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Cited By

Roberts A(2022)Smart Cities, The Internet of Things, and Corporate Social ResponsibilityMachine Learning for Smart Environments/Cities10.1007/978-3-030-97516-6_7(127-148)Online publication date: 6-Apr-2022
https://doi.org/10.1007/978-3-030-97516-6_7
Yu ZChang HYu ZGuo BShi R(2021)Location Selection for Air Quality Monitoring with Consideration of Limited Budget and Estimation ErrorIEEE Transactions on Mobile Computing10.1109/TMC.2021.3065656(1-1)Online publication date: 2021
https://doi.org/10.1109/TMC.2021.3065656
Badicu ASuciu GBalanescu MDobrea MBirdici AOrza OPasat A(2020)PMs concentration forecasting using ARIMA algorithm2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)10.1109/VTC2020-Spring48590.2020.9129390(1-5)Online publication date: May-2020
https://doi.org/10.1109/VTC2020-Spring48590.2020.9129390

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