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Design and Analysis of a Water Quality Monitoring Data Service Platform

Jianjun Zhang1,*, Yifu Sheng1, Weida Chen2, Haijun Lin1, Guang Sun3, Peng Guo4

1 College of Engineering and Design, Hunan Normal University, Changsha, 410081, China
2 Zhaoyin Network Technology (Shenzhen) Co., Ltd., Shenzhen, 518057, China
3 Big Data Institute, Hunan University of Finance and Economics, Changsha, 410205, China
4 University Malaysia Sabah, Sabah, 88400, Malaysia

* Corresponding Author: Jianjun Zhang. Email: email

Computers, Materials & Continua 2021, 66(1), 389-405.


Water is one of the basic resources for human survival. Water pollution monitoring and protection have been becoming a major problem for many countries all over the world. Most traditional water quality monitoring systems, however, generally focus only on water quality data collection, ignoring data analysis and data mining. In addition, some dirty data and data loss may occur due to power failures or transmission failures, further affecting data analysis and its application. In order to meet these needs, by using Internet of things, cloud computing, and big data technologies, we designed and implemented a water quality monitoring data intelligent service platform in C# and PHP language. The platform includes monitoring point addition, monitoring point map labeling, monitoring data uploading, monitoring data processing, early warning of exceeding the standard of monitoring indicators, and other functions modules. Using this platform, we can realize the automatic collection of water quality monitoring data, data cleaning, data analysis, intelligent early warning and early warning information push, and other functions. For better security and convenience, we deployed the system in the Tencent Cloud and tested it. The testing results showed that the data analysis platform could run well and will provide decision support for water resource protection.


Cite This Article

APA Style
Zhang, J., Sheng, Y., Chen, W., Lin, H., Sun, G. et al. (2021). Design and analysis of a water quality monitoring data service platform. Computers, Materials & Continua, 66(1), 389-405.
Vancouver Style
Zhang J, Sheng Y, Chen W, Lin H, Sun G, Guo P. Design and analysis of a water quality monitoring data service platform. Comput Mater Contin. 2021;66(1):389-405
IEEE Style
J. Zhang, Y. Sheng, W. Chen, H. Lin, G. Sun, and P. Guo "Design and Analysis of a Water Quality Monitoring Data Service Platform," Comput. Mater. Contin., vol. 66, no. 1, pp. 389-405. 2021.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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