Cloud-edge collaborative platform architecture for basin water environment water ecology intelligent management

Abstract

The invention discloses a cloud-edge collaborative platform architecture for basin water environment water ecological intelligent management. The cloud-edge collaborative platform architecture comprises a cloud end, an edge end, a terminal, a data center, a model center, a control center and a customer service center, wherein the data center, the model center, the control center and the customer service center have relatively independent functions. The cloud end is connected with the data center, the model center and the control center and is responsible for top-layer simulation computation. The edge end is connected with the data center, the model center and the customer service center, obtains the data uploaded by the terminal, performs data extraction, cleaning, fusion and transmissionto form an edge-end ecological environment big database, receives the data generated by the cloud end, and arranges a local simple model to satisfy differentiated services of basin intelligent management. The cloud end and the edge end realize cloud-edge collaborative computing by taking a message center as middleware. The terminal is connected with the data center and the customer service center,has various sensors and users of different departments, carries out multi-source heterogeneous data acquisition and edge service release in combination with the Internet of Things technology, and achieves three-dimensional perception, comprehensive acquisition and directional output of information.

Description

technical field [0001] The invention belongs to the technical fields of ecological environment management and environmental water conservancy informatization, and specifically relates to a cloud-edge collaborative platform architecture for intelligent management of water environment and water ecology in a river basin. Background technique [0002] Promoting the intelligent development of watershed governance through the Internet of Things, big data, cloud computing, artificial intelligence and other means is the only way to maintain a virtuous cycle of the ecosystem and improve the level of ecological environment supervision under the concept of high-quality development in the new era. The interference of strong human activities such as urbanization and industrialization has caused profound changes in the water cycle of the basin and its associated water environment and ecological processes. The deterioration of water quality in the basin, black and odorous water bodies, alga...

AI Technical Summary

Problems solved by technology

With the continuous advancement of environmental and water conservancy informatization, the research on the cloud platform for comprehensive watershed management has been gradually developed, and has gone through the stages of concept integration, technology development, and cloud-edge collaborative deployment. However, the existing intelligent management of watershed systems still has various objectives , different business standards, low management efficiency and other bottleneck problems, the data system, computing power and service system are far from enough, and there is still a lack of intelligent platforms for multi-objective regulation and management of water environment and ecology in large-scale river basins worldwide , it is urgently needed to rely on innovative technologies such as big data, cloud computing, and edge computing to build a cloud computing system for comprehensive regulation of water environment and water ecology to realize real-time dynamic monitoring of water ecological environment quality in river basins, rapid risk prediction and early warning, and governance and restoration of the life community system of mountains, rivers, forests, fields, lakes and grasses. and other fields, to facilitate efficient services, precise and intelligent governance, and scientific decision-making

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