Analysis of Interior Rubble Void Spaces at Champlain Towers South Collapse

Ananya Rao, Robin R. Murphy, David F. Merrick, H. Choset
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引用次数: 3

Abstract

The 2021 Champlain Towers South Condominiums collapse in Surfside, Florida, resulted 98 deaths. Nine people are thought to have survived the initial collapse, and might have been rescued if rescue workers could have located them. Perhaps, if rescue workers had been able to use robots to search the interior of the rubble pile, outcomes might have been better. An improved understanding of the environment in which a robot would have to operate to be able to search the interior of a rubble pile would help roboticists develop better suited robotic platforms and control strategies. To this end, this work offers an approach to characterize and visualize the interior of a rubble pile and conduct a preliminary analysis of the occurrence of voids. Specifically, the analysis makes opportunistic use of four days of aerial imagery gathered from responders at Surfside to create a 3D volumetric aggregated model of the collapse in order to identify and characterize void spaces in the interior of the rubble. The preliminary results confirm expectations of small number and scale of these interior voids. The results can inform better selection and control of existing robots for disaster response, aid in determining the design specifications (specifically scale and form factor), and improve control of future robotic platforms developed for search operations in rubble.
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尚普兰塔南塌内部碎石空洞空间分析
2021年,佛罗里达州萨弗赛德的尚普兰塔南公寓倒塌,造成98人死亡。据信有9人在最初的坍塌中幸存下来,如果救援人员能够找到他们,他们可能已经获救。也许,如果救援人员能够使用机器人搜索瓦砾堆的内部,结果可能会更好。更好地了解机器人必须在何种环境下才能搜索瓦砾堆内部,将有助于机器人专家开发出更适合的机器人平台和控制策略。为此,这项工作提供了一种方法来描述和可视化瓦砾堆的内部,并对空洞的发生进行初步分析。具体来说,该分析利用从Surfside救援人员那里收集的四天航拍图像,创建了一个坍塌的3D体积聚合模型,以识别和表征废墟内部的空洞空间。初步结果证实了这些内部空洞的数量和规模较小的预期。研究结果可以为更好地选择和控制现有的灾难响应机器人提供信息,有助于确定设计规格(特别是规模和外形因素),并改善对未来用于瓦砾中搜索行动的机器人平台的控制。
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