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首页> 外文期刊>Prehospital emergency care >Combining Unmanned Aerial Vehicles, and Internet Protocol Cameras to Reconstruct 3-D Disaster Scenes During Rescue Operations
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Combining Unmanned Aerial Vehicles, and Internet Protocol Cameras to Reconstruct 3-D Disaster Scenes During Rescue Operations

机译：结合无人驾驶飞行器和互联网协议摄像机在救援操作期间重建3-D灾难场景

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摘要

Objective: Strong earthquakes often cause massive structural and nonstructural damage, timely assessment of the catastrophe related massive casualty incidents (MCIs) for deploying rescue resource are critical in order to minimize ongoing fatalities. A magnitude 6.6 earthquake struck southern Taiwan on February 6, 2016 (the so-called 02/06 Meinong earthquake). It led to 117 deaths and 522 injuries. Advanced technologies including aerial devices and innovation concept were adopted for more effective rescue efforts. We would like to share our innovative concept in MCIs experienced in 02/06 Meinong earthquake in 2016. Methods: A collapsed building, Weiguan residential apartment complex, was the most devastating building collapsed in Tainan, resulting in 115 people killed. Regional Emergency Medical Operational Centers (REMOCs), supervised by Taiwan Ministry of Health and Welfare, were activated immediately and collaborated with Tainan City government command center to initiate emergency rescue reliefs. Results: We, for the first time, attempted to use cyber devices including an internet-protocol camera and a multi-rotor unmanned aerial vehicle (UAV) equipped with a high-resolution digital camera used to acquire imagery during the rescue operation. Moreover, a photo-realistic 3-D model reconstructed by the acquired UAV imagery could provide real-time information from UAV to rescue team leaders in remote location for effectively deploying medical posts and emergency resources at scene. Conclusion: We proposed the concept of real-time UAV imagery for reconstructing photo-realistic 3-D model, which might greatly improve prehospital emergency management after disaster.
机译：目的：强烈地震常常导致大规模的结构和非结构损伤，及时评估灾难相关的大规模伤亡事件（MCI），用于部署救援资源，以最大限度地减少持续的死亡。 2016年2月6日的台湾南部南部（所谓的02/06 Meinong地震）。它导致了117人死亡和522次伤害。采用了高级技术，包括空中设备和创新概念，以实现更有效的救援工作。我们希望在2016年在Meinong地震2006年02日经验丰富的MCIS中分享我们的创新概念。方法：威龙住宅公寓楼层倒塌的建筑，是在台南倒塌的最具毁灭性的建筑，导致115人死亡。由台湾卫生和福利部监督的区域紧急医疗业务中心（REMOC）立即激活，并与台南市政府指挥中心合作，启动紧急救援救济。结果：我们首次尝试使用包括互联网协议摄像机的网络设备和配备有用于在救援操作期间获取图像的高分辨率数码相机的多转子无人驾驶车辆（UAV）。此外，由所获取的UAV图像重建的照片 - 逼真的3-D模型可以提供从UAV提供远程位置中拯救团队领导的实时信息，以便在场景中有效地部署医疗帖子和紧急资源。结论：我们提出了重建照片逼真三维模型的实时UAV图像的概念，这可能大大提高了灾难后的预孢子应急管理。

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