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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | International Journal of Analytical Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2022/1013300 |
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| _version_ | 1832551226775961600 |
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| author | Jing Mi Xinghua Sun Shihui Zhang Naidi Liu |
| author_facet | Jing Mi Xinghua Sun Shihui Zhang Naidi Liu |
| author_sort | Jing Mi |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-f6276e5f42534f6eab055d00e313df9a |
| institution | Kabale University |
| issn | 1687-8779 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Analytical Chemistry |
| spelling | doaj-art-f6276e5f42534f6eab055d00e313df9a2025-02-03T06:04:39ZengWileyInternational Journal of Analytical Chemistry1687-87792022-01-01202210.1155/2022/1013300Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of ThingsJing Mi0Xinghua Sun1Shihui Zhang2Naidi Liu3College of Information Science and EngineeringCollege of Information Science and EngineeringCollege of Information Science and EngineeringCollege of Information Science and EngineeringIn 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.http://dx.doi.org/10.1155/2022/1013300 |
| spellingShingle | Jing Mi Xinghua Sun Shihui Zhang Naidi Liu Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things International Journal of Analytical Chemistry |
| 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 |
| url | http://dx.doi.org/10.1155/2022/1013300 |
| work_keys_str_mv | AT jingmi residentialenvironmentpollutionmonitoringsystembasedoncloudcomputingandinternetofthings AT xinghuasun residentialenvironmentpollutionmonitoringsystembasedoncloudcomputingandinternetofthings AT shihuizhang residentialenvironmentpollutionmonitoringsystembasedoncloudcomputingandinternetofthings AT naidiliu residentialenvironmentpollutionmonitoringsystembasedoncloudcomputingandinternetofthings |