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计算机系统应用:2018,27(10):75-79
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青海湖生态水文监测数据可视化平台
萧晓俊1,2, 罗万明1, 罗泽1, 阎保平1
(1.中国科学院 计算机网络信息中心, 北京 100190;2.中国科学院大学, 北京 100049)
Qinghai Lake Ecological Hydrological Monitoring Data Visualization Platform
XIAO Xiao-Jun1,2, LUO Wan-Ming1, LUO Ze1, YAN Bao-Ping1
(1.Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;2.University of Chinese Academy of Sciences, Beijing 100049, China)
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本文已被:浏览 174次   下载 144
投稿时间:2018-02-28    修订日期:2018-03-19
中文摘要: 青海湖是中国最大的内陆湖泊和咸水湖,是候鸟的栖息地,具有重要的生态研究价值.为了有效管理和应用青海湖获取采集的生态监测数据,本文设计并实现了青海湖生态水文监测数据可视化平台.平台使用Spring MVC作为后台开发框架.数据库使用开源时序数据库InfluxDB,并利用InfluxDB的数据保留策略和连续查询对数据进行聚合存储.可视化功能使用开源的JavaScript工具Echarts实现,对青海湖的大气环境、水文、土壤等生态数据进行可视化.
中文关键词: 青海湖  生态监测  可视化
Abstract:Qinghai Lake is the largest inland lake and saltwater lake in China. It is the habitat for migratory birds and has important ecological research value. In order to effectively manage and apply the ecological monitoring data collected in Qinghai Lake, this study designed and implemented the Qinghai Lake ecological hydrological monitoring data visualization platform. The platform uses Spring MVC as a background development framework. The database uses the open source timing database InfluxDB and uses InfluxDB's data retention strategy and continuous queries to aggregate data. The visualization function is implemented by Echarts, an open-source JavaScript tool. It can visualize the Qinghai Lake's ecological data such as atmospheric environment data, hydrology data, and soil data.
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萧晓俊,罗万明,罗泽,阎保平.青海湖生态水文监测数据可视化平台.计算机系统应用,2018,27(10):75-79
XIAO Xiao-Jun,LUO Wan-Ming,LUO Ze,YAN Bao-Ping.Qinghai Lake Ecological Hydrological Monitoring Data Visualization Platform.COMPUTER SYSTEMS APPLICATIONS,2018,27(10):75-79

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