Disaster information cloud computing system and disaster information cloud computing method

Abstract

The invention relates to a disaster information cloud computing system and a disaster information cloud computing method. The computing system comprises a disaster information cloud computing platform, a user terminal and a data transmission network. The disaster information cloud computing platform is designed into a six-layer architecture, and is configured to call a geological model and an analysis model according to disaster information and geological information to complete a disaster information computing and processing, disaster simulation, disaster assessment, warning and forecasting and disaster demonstration process. The six-layer architecture is composed of a hardware resource layer, a uniform resource pool layer, a geological model and analysis model resource pool layer, a disaster simulation model resource pool layer, a disaster visual simulation expression layer, and a management scheduling layer. The system and the method enable users to enjoy professional and fast disaster information processing service, and time, money, manpower and other costs can be saved. The system and the method can be widely applied to all kinds of natural disasters such as landslide, debris flow, collapse, earthquake, flash flood and avalanche.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a cloud computing system and computing method for disaster information. Background technique [0002] Every rainy season, disaster-prone areas across the country will face frequent disasters such as mudslides, landslides, and collapses. Because geological disasters usually occur in mountainous areas with harsh natural conditions and inconvenient transportation, they show a wide range of distribution and terrain Due to the characteristics of complex and large population, sudden geological disasters cause a large number of casualties and huge property losses every year, so the research on the prevention of geological disasters is particularly important. [0003] Research on geological hazards has a long history. Currently, there are two main modes of monitoring and research on geological hazards. One is the weather forecast + group monitoring and group defense mode, that i...

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Problems solved by technology

However, when the central station is put into operation, due to the sudden nature of disaster information services, the average resource utilization rate of the system will not be high. The speed of large-scale data processing during the sending period will be affected, so that even the best calculation method and real-time monitoring will not show results because the computing power of the central station cannot keep up, and even delay the precious opportunity of disaster forecasting ; However, if you blindly meet the hardware configuration of peak computing, it will cost a lot of investment costs, and in the period of less disasters, these high-performance hardware resources will be idle

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