Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter

Jourdan Jesus Vasquez Cubas; Victor Genaro Rosales Urbano; Roxana Mavel Torres Huaman; Felix Melchor Santos Lopez

doi:10.1109/ICSESS58500.2023.10293132

Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter

Jourdan Jesus Vasquez Cubas
, Victor Genaro Rosales Urbano
, Roxana Mavel Torres Huaman
, Felix Melchor Santos Lopez

Sección de Ingeniería Informática

Pontifical Catholic Univ. of Peru
National University of San Marcos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The paper discusses the issue of air pollution and its impact on human health and the environment. In Peru, the Ministry of the Environment (MINAM) sets environmental quality standards, and the Environmental Assessment and Oversight Agency (OEFA) conducts environmental surveillance to monitor air quality. OEFA found that PM10 concentration in the industrial areas of Ventanilla and Mi Peru exceeded air quality standards in 2018. They recommended continuous monitoring. However, the equipment used by OEFA is complex, large, and costly: thus, permanent monitoring is difficult. This paper proposes a cyber-physical system that uses low-cost particulate matter sensors to monitor PM10 and PM2.5 concentrations and send information to an IoT platform. The proposed system would provide an efficient, cost-effective solution to the challenges of continuous environmental monitoring posed by OEFA's current equipment.

Original language	English
Title of host publication	ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science
Editors	Li Wenzheng
Publisher	IEEE Computer Society
Pages	84-88
Number of pages	5
ISBN (Electronic)	9798350336269
DOIs	https://doi.org/10.1109/ICSESS58500.2023.10293132
State	Published - 2023
Event	14th IEEE International Conference on Software Engineering and Service Science, ICSESS 2023 - Beijing, China Duration: 17 Oct 2023 → 18 Oct 2023

Publication series

Name	Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
ISSN (Print)	2327-0586
ISSN (Electronic)	2327-0594

Conference

Conference	14th IEEE International Conference on Software Engineering and Service Science, ICSESS 2023
Country/Territory	China
City	Beijing
Period	17/10/23 → 18/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

ADD
air quality
cloud architecture
particulate matter
PM10
PM2.5

Access to Document

10.1109/ICSESS58500.2023.10293132

Cite this

Cubas, J. J. V., Urbano, V. G. R., Huaman, R. M. T., & Lopez, F. M. S. (2023). Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter. In L. Wenzheng (Ed.), ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science (pp. 84-88). (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS). IEEE Computer Society. https://doi.org/10.1109/ICSESS58500.2023.10293132

Cubas, Jourdan Jesus Vasquez ; Urbano, Victor Genaro Rosales ; Huaman, Roxana Mavel Torres et al. / Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter. ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science. editor / Li Wenzheng. IEEE Computer Society, 2023. pp. 84-88 (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS).

@inproceedings{ce333c490fcd4885aaca837946d29078,

title = "Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter",

abstract = "The paper discusses the issue of air pollution and its impact on human health and the environment. In Peru, the Ministry of the Environment (MINAM) sets environmental quality standards, and the Environmental Assessment and Oversight Agency (OEFA) conducts environmental surveillance to monitor air quality. OEFA found that PM10 concentration in the industrial areas of Ventanilla and Mi Peru exceeded air quality standards in 2018. They recommended continuous monitoring. However, the equipment used by OEFA is complex, large, and costly: thus, permanent monitoring is difficult. This paper proposes a cyber-physical system that uses low-cost particulate matter sensors to monitor PM10 and PM2.5 concentrations and send information to an IoT platform. The proposed system would provide an efficient, cost-effective solution to the challenges of continuous environmental monitoring posed by OEFA's current equipment.",

keywords = "ADD, air quality, cloud architecture, particulate matter, PM10, PM2.5",

author = "Cubas, \{Jourdan Jesus Vasquez\} and Urbano, \{Victor Genaro Rosales\} and Huaman, \{Roxana Mavel Torres\} and Lopez, \{Felix Melchor Santos\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th IEEE International Conference on Software Engineering and Service Science, ICSESS 2023 ; Conference date: 17-10-2023 Through 18-10-2023",

year = "2023",

doi = "10.1109/ICSESS58500.2023.10293132",

language = "English",

series = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",

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}

Cubas, JJV, Urbano, VGR, Huaman, RMT & Lopez, FMS 2023, Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter. in L Wenzheng (ed.), ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science. Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, IEEE Computer Society, pp. 84-88, 14th IEEE International Conference on Software Engineering and Service Science, ICSESS 2023, Beijing, China, 17/10/23. https://doi.org/10.1109/ICSESS58500.2023.10293132

Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter. / Cubas, Jourdan Jesus Vasquez; Urbano, Victor Genaro Rosales; Huaman, Roxana Mavel Torres et al.
ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science. ed. / Li Wenzheng. IEEE Computer Society, 2023. p. 84-88 (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter

AU - Cubas, Jourdan Jesus Vasquez

AU - Urbano, Victor Genaro Rosales

AU - Huaman, Roxana Mavel Torres

AU - Lopez, Felix Melchor Santos

PY - 2023

Y1 - 2023

N2 - The paper discusses the issue of air pollution and its impact on human health and the environment. In Peru, the Ministry of the Environment (MINAM) sets environmental quality standards, and the Environmental Assessment and Oversight Agency (OEFA) conducts environmental surveillance to monitor air quality. OEFA found that PM10 concentration in the industrial areas of Ventanilla and Mi Peru exceeded air quality standards in 2018. They recommended continuous monitoring. However, the equipment used by OEFA is complex, large, and costly: thus, permanent monitoring is difficult. This paper proposes a cyber-physical system that uses low-cost particulate matter sensors to monitor PM10 and PM2.5 concentrations and send information to an IoT platform. The proposed system would provide an efficient, cost-effective solution to the challenges of continuous environmental monitoring posed by OEFA's current equipment.

AB - The paper discusses the issue of air pollution and its impact on human health and the environment. In Peru, the Ministry of the Environment (MINAM) sets environmental quality standards, and the Environmental Assessment and Oversight Agency (OEFA) conducts environmental surveillance to monitor air quality. OEFA found that PM10 concentration in the industrial areas of Ventanilla and Mi Peru exceeded air quality standards in 2018. They recommended continuous monitoring. However, the equipment used by OEFA is complex, large, and costly: thus, permanent monitoring is difficult. This paper proposes a cyber-physical system that uses low-cost particulate matter sensors to monitor PM10 and PM2.5 concentrations and send information to an IoT platform. The proposed system would provide an efficient, cost-effective solution to the challenges of continuous environmental monitoring posed by OEFA's current equipment.

KW - ADD

KW - air quality

KW - cloud architecture

KW - particulate matter

KW - PM10

KW - PM2.5

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DO - 10.1109/ICSESS58500.2023.10293132

M3 - Conference contribution

AN - SCOPUS:85178559073

T3 - Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS

SP - 84

EP - 88

BT - ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science

A2 - Wenzheng, Li

PB - IEEE Computer Society

T2 - 14th IEEE International Conference on Software Engineering and Service Science, ICSESS 2023

Y2 - 17 October 2023 through 18 October 2023

ER -

Cubas JJV, Urbano VGR, Huaman RMT, Lopez FMS. Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter. In Wenzheng L, editor, ICSESS 2023 - Proceedings of 2023 IEEE 14th International Conference on Software Engineering and Service Science. IEEE Computer Society. 2023. p. 84-88. (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS). doi: 10.1109/ICSESS58500.2023.10293132

Design of an IoT Cloud Architecture for the Monitoring of Particulate Matter

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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