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.