Prehosp Emerg Care. 2019 Jul-Aug;23(4):479-484. doi: 10.1080/10903127.2018.1528323. Epub 2018 Nov 8.
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. 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. 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. 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.
强烈地震通常会造成大规模的结构和非结构破坏,及时评估与灾难相关的大量伤亡事件(MCIs)对于部署救援资源至关重要,以便尽量减少伤亡人数。2016 年 2 月 6 日(所谓的“2016 年美浓地震”),台湾南部发生了 6.6 级地震。此次地震导致 117 人死亡,522 人受伤。先进的技术,包括空中设备和创新理念,被用于更有效的救援工作。我们愿意分享我们在 2016 年美浓地震中处理 MCIs 的创新理念。一座名为“卫观公寓大楼”的倒塌建筑是台南市破坏最严重的倒塌建筑,造成 115 人死亡。由台湾卫生福利部监督的区域紧急医疗运营中心(REMOC)立即启动,并与台南市指挥中心合作,启动紧急救援工作。我们首次尝试使用网络设备,包括网络摄像机和配备高分辨率数码相机的多旋翼无人机(UAV),在救援行动中获取图像。此外,通过获取的无人机图像重建的逼真的 3D 模型可以为远程救援团队负责人提供来自无人机的实时信息,以便在现场有效部署医疗站和应急资源。我们提出了使用实时无人机图像来重建逼真的 3D 模型的概念,这可能会极大地改善灾难后的院前急救管理。