This product takes the integration and application of water ecological environment monitoring big data as its core content, and comprehensively uses multi-source and multi-dimensional water environment information perception collection, analysis and evaluation, early warning prediction and visualization display technology to build a water environment safety and water ecological health monitoring project. It realizes the information management of manual water quality monitoring data reporting and review, data reports and report customization development, multi-source data, multi-angle display and analysis application, and builds an integrated monitoring information display platform, providing strong support for water environment analysis and evaluation, supervision and assessment.
Based on modular architecture and design, it realizes the informatization of multi-source data reporting and rapid deployment of monitoring services. Based on geographic information and non-relational databases, it realizes multi-source data, multi-angle display and analysis applications, and builds a comprehensive display platform for monitoring information.
●A technical system for remote sensing monitoring and inversion evaluation of water quality has been established.
●A localized model for remote sensing monitoring and interpretation of water ecology has been constructed, and a quantitative remote sensing technical method for water quality based on multi-source medium and high-resolution remote sensing data has been established, and realized the transformation of remote sensing interpretation technology in the business application of pollution source tracing and floating pollutant early warning.
Remote diagnosis and quality control technology for water stations in virtual scenes has been developed
Based on the “BIM + GIS + VR” technology, a digital visualization technology for automatic water quality monitoring stations with real-scene fusion and three-dimensional simulation has been developed. Remote diagnosis and remote quality control of automatic water quality monitoring stations in virtual scenes have been realized.
It can be applied to water ecological environment quality assessment, automatic monitoring and comprehensive supervision.
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