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LARGE SCALE ANALYSIS OF CATASTROPHIC WEATHER DAMAGE

机译:灾难性天气灾害的大规模分析

摘要

Estimating storm damage on a large scale includes collecting geospatial data from a plurality of sensors disparately situated in a defined geographic area; collecting the geospatial data occurs before and during a determined or simulated significant weather event. Geospatial property attribute information for each of a plurality of real property structures within the defined geographic area is also provided. A supercomputer estimates a magnitude and duration of significant weather event forces at points associated with each of the plurality of real property structures according to a significant weather event model in order to produce at least one model output data set. The model output data set is applied to the geospatial property attribute information and, based on the application of model output data, damage to the plurality of real property structures is automatically estimated.
机译:大规模估计暴风雨破坏包括:从分别位于定义的地理区域中的多个传感器收集地理空间数据;收集地理空间数据的过程是在确定或模拟的重大天气事件发生之前和之中发生的。还提供了在定义的地理区域内的多个不动产结构中的每个的地理空间属性信息。超级计算机根据重要天气事件模型来估计与多个不动产结构中的每一个相关联的点处的重要天气事件力的大小和持续时间,以便产生至少一个模型输出数据集。将模型输出数据集应用于地理空间属性信息,并基于模型输出数据的应用,自动估计对多个不动产结构的破坏。

著录项

  • 公开/公告号US2017039307A1

    专利类型

  • 公开/公告日2017-02-09

    原文格式PDF

  • 申请/专利权人 QRISQ ANALYTICS LLC;

    申请/专利号US201514986005

  • 发明设计人 THOMAS LEE KOGER;ELIZABETH LIA VALENTI;

    申请日2015-12-31

  • 分类号G06F17/50;

  • 国家 US

  • 入库时间 2022-08-21 13:44:47

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