Big data simulation-based huge disaster risk model system and method

• Main Authors: GAO CAOPO, WANG ZIFA, ZHOU YANG, TONG WENBO
• Format: Patent
• Language: Chinese; English
• Published: 11.11.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the technical field of disaster prediction, in particular to a huge disaster risk model system and method based on big data simulation, and the system comprises a disaster module, a vulnerability module, a spatial correlation module and a financial module. According to the method, the latest attenuation model and the calculation formula are adopted to calculate the seismic oscillation, meanwhile, the latest Vs30 information at the target site is selected as the judgment basis of the site category, the attenuation seismic oscillation at the target site is estimated, the error is small, the financial module is utilized to rapidly generate the insurance compensation scheme according to the loss, rapid compensation of an insurance company is facilitated, and the safety of the insurance company is improved. The effective analysis module and the application verification module analyze and calculate the data obtained through calculation, the accuracy of system prediction is guaranteed, meanw