可视化
水质
数据质量
计算机科学
云计算
水资源
质量(理念)
数据收集
资源(消歧)
大数据
数据可视化
工作(物理)
数据库
数据科学
数据挖掘
工程类
运营管理
公制(单位)
统计
哲学
操作系统
认识论
生物
机械工程
数学
计算机网络
生态学
作者
Yifu Sheng,Weida Chen,Wen Huang,Haijun Lin,Jianjun Zhang
出处
期刊:Journal on big data
日期:2020-01-01
卷期号:2 (1): 1-8
被引量:10
标识
DOI:10.32604/jbd.2020.01001
摘要
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.
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