基于云计算的黄河下游决策支持平台框架研究

Haijun Liu
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引用次数: 0

摘要

黄河下游决策支持平台集成了水文、水动力、输沙、库群优化调度、滩区功能规划等模型,为管理者提供治理和管理决策支持。为实现这一目标,平台利用云计算技术的稳定性和可扩展性,构建了一个基于云计算技术的黄河下游决策支持平台。该平台由IaaS、PaaS和SaaS组成。IaaS存储了大量的数据资源。PaaS层为SaaS层提供方案管理、数据管理等服务。用户可以调用web服务接口来访问所需的应用程序。该架构为水利行业解决海量数据与水利模型的集成提供了解决方案。
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Research on the framework of Decision Support Platform for the Lower Yellow River Based on Cloud Computing
The decision support platform for the lower Yellow River integrates the models of hydrological, hydrodynamic, sediment transport, reservoir group optimal operation, beach area function planning in order to provide governance and management decision support for managers. To achieve this goal, the platform uses the stability and scalability of cloud computing technology to build a decision support platform for the lower Yellow River Based on cloud computing technology. The platform is composed of IaaS, PaaS and SaaS. The IaaS stores a large number of data resources. The PaaS layer provides services such as scheme management and data management for SaaS layer. Users can call web service interfaces to access required applications. This architecture provides a solution for the water conservancy industry to solve the integration of massive data and water conservancy models.
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