Mi, Jing and Sun, Xinghua and Zhang, Shihui and Liu, Naidi and Vasimalai, Nagamalai (2022) Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things. International Journal of Analytical Chemistry, 2022. pp. 1-8. ISSN 1687-8760
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Abstract
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.
Item Type: | Article |
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Subjects: | Scholar Eprints > Chemical Science |
Depositing User: | Managing Editor |
Date Deposited: | 31 Jan 2023 05:29 |
Last Modified: | 14 Sep 2024 04:48 |
URI: | http://repository.stmscientificarchives.com/id/eprint/879 |