Urban multi-disaster risk loss evaluation system based on open source system framework and building spatial database and method thereof

Abstract

The invention provides an urban multi-disaster risk loss evaluation system based on an open source system framework and a building spatial database. The urban multi-disaster risk loss evaluation system comprises an 1a) MAEviz open source framework development platform based on an Eclipse RCP frame, wherein the MAEviz open source framework development platform is used for extending a flood, wind damage and tsunami disaster loss evaluation module so as to realize multi-disaster urban risk loss evaluation; a 1b) disaster information module which is used for analysis of the risk and the dangerousness of flood, typhoon, earthquake and other natural disasters and evaluation of regional disaster-causing possibility; a 1c) spatial geographic information module which provides a common GIS function so as to realize construction of a localized urban disaster-affected body geographic information system property database; an 1d) urban disaster-affected body type classification and vulnerability analysis module which is used for establishing a building vulnerability module base of typical building structures under different disasters; and a 1e) disaster loss evaluation module which is used for damage prediction of disaster-affected body structures and damage loss evaluation of the disaster-affected bodies.

Description

technical field [0001] The invention relates to an evaluation system and method for urban multi-disaster risk loss based on Eclipse RCP framework technology. The system will provide important assistance for a series of decision-making, such as reinforcement and reconstruction of bearing bodies under pre-disaster risk analysis, rapid assessment of disaster losses during disasters, optimal allocation of rescue materials and facilities, and post-disaster restoration and reconstruction. Background technique [0002] In recent years, the development and construction of risk loss assessment systems for various purposes and building spatial databases have been carried out successively. It has developed from simple functions such as map generation in the early days to a decision-making system that can assist evaluation and analysis in various specific application fields. However, most of the developed risk loss assessment systems are mostly closed-source systems, and most of them c...

AI Technical Summary

Problems solved by technology

However, most of the developed risk loss assessment systems are mostly closed-source systems, and most of them can only conduct specific analysis in a local application field

Due to the limitation of system development, the risk model including database design and disaster data are integrated in a closed-source software architecture system, which determines that it is difficult for the system to expand the original functions as the requirements and applications change, and it is also very difficult. It is difficult to apply disaster loss assessment in similar areas

[0003] In addition, the existing risk loss assessment system focuses on the analysis of earthquake disasters, and the research content of the loss assessment modules for floods, wind disasters, tsunamis and other disasters is relatively small, and there is no systematic analysis of various geological disasters in one center.

In addition, some popular open source framework architectures, such as EclipseRCP framework, SpringOSGi framework and HibernateORM framework, etc., are all aimed at earthquake disasters and lack a multi-disaster risk loss evaluation system

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