Open Access

ARTICLE

Visualization Research and Application of Water Quality Monitoring Data Based on ECharts

Yifu Sheng¹, Weida Chen, Huan Wen¹, Haijun Lin¹, Jianjun Zhang^{1, *}

1 College of Engineering and Design, Hunan Normal University, Changsha, China.
2 Zhaoyin Network Technology (Shenzhen) Co., Ltd., Shenzhen, China.

* Corresponding Author: Jianjun Zhang. Email: .

Journal on Big Data 2020, 2(1), 1-8. https://doi.org/10.32604/jbd.2020.01001

Received 10 January 2020; Accepted 13 May 2020; Issue published 07 September 2020

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.

---

Keywords

---

Citations