基于大数据的地震损失价值评估模型设计

Design of Earthquake Loss Value Evaluation Model Based on Big Data

破坏性地震往往导致严重的经济损失及人员伤亡,对地震损失价值评价有助于震前找出抗震弱点,提高抗震能力,实现减轻地震灾害损失的目的。传统空间模型在地震数据处理过程中,无法处理大数据对空间尺度选择的干扰,存在地震损失评估结果偏差大以及波动性高的弊端。因此,在云计算平台下,提出基于大数据的地震损失价值评估模型设计,对模型HAZ-China大数据的服务层次、地震应用服务层以及HAZ-China大数据体系结构进行设计,为用户提供震前、震时以及震后的地震损失价值评估服务。模型采用HBase分布式数据库实现大数据的存储和分析,设计房屋震害数据库以及云计算模型,通过考虑大数据因素的地震灾害损失综合评估过程,实现地震损失价值的准确评估。实验结果说明,所设计模型可实现地震损失价值的准确评估,具有较高的评估精度和稳定性。

Destructive earthquakes often lead to serious economic losses and casualties, so it is important to evaluate the value of earthquake loss, for it can help to improve the seismic capacity and reduce the loss of earthquake disasters. In seismic data processing, traditional spatial models cannot deal with the interference of big data on the spatial scale selection, and drawbacks of large deviation and high volatility of seismic loss assessment results must be faced. Therefore, this study designs a seismic loss assessment model based on the cloud computing platform, HAZ-China. The service levels, seismic application service layer, and system structure of the cloud computing platform, HAZ-China, were designed to provide pre , co , and post seismic loss value evaluation services. The model can realize the storage and analysis of big data, then design the building damage database and cloud computing model using the distributed data base, HBase. The model can accurately evaluate the seismic loss value through a comprehensive assess ment of the seismic disaster loss. The experimental results showed that the designed model can realize an accurate evaluation of the value of earthquake loss, and had high convergence, efficiency, and stability.