@Article{jbd.2020.01001,
AUTHOR = {Yifu Sheng, Weida Chen, Huan Wen, Haijun Lin, Jianjun Zhang},
TITLE = {Visualization Research and Application of Water Quality  Monitoring Data Based on ECharts},
JOURNAL = {Journal on Big Data},
VOLUME = {2},
YEAR = {2020},
NUMBER = {1},
PAGES = {1--8},
URL = {http://www.techscience.com/jbd/v2n1/40126},
ISSN = {2579-0056},
ABSTRACT = {Water resources are one of the basic resources for human survival, and water 
protection has been becoming a major problem for countries around the world. However, 
most of the traditional water quality monitoring research work is still concerned with the 
collection of water quality indicators, and ignored the analysis of water quality 
monitoring data and its value. In this paper, by adopting Laravel and AdminTE 
framework, we introduced how to design and implement a water quality data 
visualization platform based on Baidu ECharts. Through the deployed water quality 
sensor, the collected water quality indicator data is transmitted to the big data processing 
platform that deployed on Tencent Cloud in real time through the 4G network. The
collected monitoring data is analyzed, and the processing result is visualized by Baidu 
ECharts. The test results showed that the designed system could run well and will provide 
decision support for water resource protection.},
DOI = {10.32604/jbd.2020.01001}
}