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Received:May 10, 2019 Revised:May 30, 2019
Received:May 10, 2019 Revised:May 30, 2019
中文摘要: 地震灾害发生后,为实现生命体的快速发现和科学救援,需要多源数据的辅助支撑.遥感数据、现场环境数据、危险设施分布数据、生命体征数据、生命探测设备运行状态数据以及历史数据,共同构成了应急救援场景下的多源异构数据集.本文面向应急救援领域的数据统一监管、多维分析等应用需求,深入研究多源异构数据的三维空间融合分析技术,提出了一种基于WebGL渲染技术的无插件三维空间融合方案,研制应急救援数据融合可视化系统,实现统一时空框架下应急救援场景所需多源异构数据的融合表达,辅助作业人员进行联动态势分析,帮助指挥人员进行指挥决策,大幅提高应急救援现场应用的工作时效.
Abstract:In order to realize rapid discovery and scientific rescue of life after earthquake disaster, multi-source data is needed. Remote sensing data, scene environment data, distribution data of dangerous facilities, life signs data acquired by life detection equipment, status data of life detection equipment, and historical data constitute multi-source heterogeneous data sets in emergency rescue scenarios. Aiming at the application requirements of unified data supervision and multi-dimensional analysis in the field of emergency rescue, this work deeply studies the three-dimensional spatial fusion analysis technology of multi-source heterogeneous data, proposes a plug-in-free three-dimensional spatial fusion scheme based on WebGL rendering technology, and develops a visualization system of emergency rescue data fusion. Fusion and expression of multi-source heterogeneous data needed in emergency rescue scenarios can be realized under the unified space-time framework. It can assist operators to conduct joint dynamic potential analysis, help commanders to make command decisions, and greatly improve the efficiency of emergency rescue field applications.
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基金项目:国家重点研发计划(2017YFF0107700)
引用文本:
徐成华,宋雨娇,于振铎,庄子尤.面向应急救援的多源数据融合技术.计算机系统应用,2019,28(12):9-18
XU Cheng-Hua,SONG Yu-Jiao,YU Zhen-Duo,ZHUANG Zi-You.Multi-Source Detecting Data Fusion for Emergency Rescue.COMPUTER SYSTEMS APPLICATIONS,2019,28(12):9-18
徐成华,宋雨娇,于振铎,庄子尤.面向应急救援的多源数据融合技术.计算机系统应用,2019,28(12):9-18
XU Cheng-Hua,SONG Yu-Jiao,YU Zhen-Duo,ZHUANG Zi-You.Multi-Source Detecting Data Fusion for Emergency Rescue.COMPUTER SYSTEMS APPLICATIONS,2019,28(12):9-18