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Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is...

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Autores principales: Mi, Jing, Sun, Xinghua, Zhang, Shihui, Liu, Naidi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402352/
https://www.ncbi.nlm.nih.gov/pubmed/36032802
http://dx.doi.org/10.1155/2022/1013300
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author Mi, Jing
Sun, Xinghua
Zhang, Shihui
Liu, Naidi
author_facet Mi, Jing
Sun, Xinghua
Zhang, Shihui
Liu, Naidi
author_sort Mi, Jing
collection PubMed
description In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. The method mainly includes two parts: an environmental monitoring terminal and an environmental pollution monitoring and management platform. Through the Wi-Fi module, the data is sent to the environmental pollution monitoring and management platform in real time. The environmental monitoring management platform is mainly composed of environmental pollution monitoring server, web server, and mobile terminal. The results are as follows. The data measured by the system is close to the data measured by the instrument, and the overall error is small. The measurement error of harmful gases is about 6%. PM 2.5 is about 6.5%. Noise is about 1%. The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. Practice has proved that the environmental pollution monitoring and alarm system operates stably and can realize real-time collection and transmission of data such as noise, PM 2.5, harmful gas concentration, illumination, GPS, and video images, providing a reliable guarantee for timely environmental pollution control.
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spelling pubmed-94023522022-08-25 Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things Mi, Jing Sun, Xinghua Zhang, Shihui Liu, Naidi Int J Anal Chem Research Article In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. The method mainly includes two parts: an environmental monitoring terminal and an environmental pollution monitoring and management platform. Through the Wi-Fi module, the data is sent to the environmental pollution monitoring and management platform in real time. The environmental monitoring management platform is mainly composed of environmental pollution monitoring server, web server, and mobile terminal. The results are as follows. The data measured by the system is close to the data measured by the instrument, and the overall error is small. The measurement error of harmful gases is about 6%. PM 2.5 is about 6.5%. Noise is about 1%. The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. Practice has proved that the environmental pollution monitoring and alarm system operates stably and can realize real-time collection and transmission of data such as noise, PM 2.5, harmful gas concentration, illumination, GPS, and video images, providing a reliable guarantee for timely environmental pollution control. Hindawi 2022-08-17 /pmc/articles/PMC9402352/ /pubmed/36032802 http://dx.doi.org/10.1155/2022/1013300 Text en Copyright © 2022 Jing Mi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mi, Jing
Sun, Xinghua
Zhang, Shihui
Liu, Naidi
Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things
title Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things
title_full Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things
title_fullStr Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things
title_full_unstemmed Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things
title_short Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things
title_sort residential environment pollution monitoring system based on cloud computing and internet of things
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402352/
https://www.ncbi.nlm.nih.gov/pubmed/36032802
http://dx.doi.org/10.1155/2022/1013300
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