黄河智慧防凌云平台设计与研究.

Due to the difference in latitude and special climatic conditions, the flood disaster of the Yellow River is the most prominent and significant natural disaster in the big rivers in China. The Yellow River ice flood is characterized by complex disaster environment, strong burst chain and great difficulty in prevention and control. At present, the network information platform generally exists many problems, for an example, single function, low participation in numerical simulation, limited data source acquisition and lack of dynamic intelligent management. In the face of these real demands, this paper designed the ice flood of the Yellow River intelligent platform based on cloud computing service. The technical route of the platform was “Data warehouse construction-Model integration coupling-Cloud simulation computing-Virtual reality display”. The computing service layer provided a powerful virtual computing environment for the platform's model library by Docker container technology. The functional modules of the platform included monitoring and disaster early warning, dynamic assessment of ice flood risk, scenario development of flood disaster, combined ice-prevention operation of reservoir group and ice flood diversion area, optimization of decision support scheme for disaster prevention and control. The function covered the whole process of disaster chain. It had important application value for the establishment of efficient and scientific natural disaster prevention system. [ABSTRACT FROM AUTHOR]