面向海洋承灾体的三维动态监测超融合平台

A hyper-converged platform for 3D dynamic monitoring of marine disaster-bearing bodies

本文针对典型的海洋承灾体以房屋(点状)、防波堤(线状)、养殖蚝排(面状)等,基于卫星、无人机等遥感影像数据,利用深度学习方法开展台风影响下承灾体灾变、灾损演化特征及其对海洋灾害作用强度归一化响应机理研究,构建海洋承灾体智能识别模型;然后结合地理时空网格及区域脆弱模型(HOP),基于承灾体自身材料、结构、年份等属性及动力学相关模型,建立不同场景的承灾体脆弱性评价体系,实现区域化的承灾体评价脆弱性评价;最终基于Arcgis、skyline等二维、三维GIS展示技术,集成上述模型研发面向海洋承灾体的三维动态监测超融合平台。该平台实现对复杂海洋情景的模拟和预测,对海洋防灾减灾工作的辅助决策,以及最大限度地减少海洋灾害损失具有十分重要的意义。

In this paper,based on the remote sensing image data of satellite,unmanned aerial vehicle(UAV)and other remote sensing images,the typical marine disaster bearing bodies,such as houses(point),breakwaters(line),and oyster rows(surface),were studied using the depth learning method to learn the disaster change and damage evolution characteristics of the disaster bearing bodies under the influence of typhoon and their normalized response mechanism to the action intensity of marine disasters,and an intelligent recognition model of marine disaster bearing bodies was constructed;Then,combining the geographic spatio-temporal grid and hazard of place(HOP)model,based on the material,structure,year and other attributes of the disaster bearing body itself and the dynamic related model,the vulnerability assessment system of the disaster bearing body in different scenarios was established to realize the regional vulnerability assessment of the disaster bearing body;Finally,based on the 2D and three-dimensional(3D)geographic information system(GIS)display technologies such as ArcGIS and skyline,the above models were integrated to develop a 3D dynamic monitoring super fusion platform for marine disaster bearing bodies.The platform realized the simulation and prediction of complex marine scenarios,which was of great significance for the auxiliary decision-making of marine disaster prevention and reduction,and for minimizing the loss of marine disasters.