RAPID: Data collection and curation of SR-530 mudslide with small unmanned aerial vehicles

RAPID：使用小型无人机收集和整理 SR-530 泥石流数据

• 批准号: 1445936
• 负责人: Robin Murphy
• 金额: $ 4.2万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1445936&HistoricalAwards=false
• 关键词: RAPID; Data; collection; curation; SR

This project conducts research on small unmanned aerial systems while protecting the safety of recovery workers who will be working at the 2014 SR530 mudslide near Oso, Washington, for at least the next year to remediate the site and repair the road. The flights also help increase the safety of residents along other portions of the Stillaguamish River. A small fixed-wing and a rotorcraft unmanned aerial system are used to conduct longitudinal surveys of the inaccessible region of the mudslide and river. The surveys in August and November, combined with earlier flights during the immediate response, capture the evolving state of the mudslide and river over time, validate the models of how the river and mudslide are expected to change over the seasons, refine new geological and hydrological models, and predict the potential for continuing sloughing and flooding that will impact residents and other sections of SR530 in the spring of 2015. The research is providing the robotics and cyber-physical systems communities with small unmanned aerial systems performance data under uncontrolled weather conditions, the human-robot interaction community with how users from different agencies interact with the robot data, and Big Data with datasets to explore how to best archive, curate, and visualize data over time. The research is guiding the design of new small unmanned aerial systems to support applications where rapid or cost-effective geospatial reconstruction of the situation is important, such as emergency response and critical infrastructure inspection.

该项目对小型无人机系统进行研究，同时保护恢复工作人员的安全，这些工作人员将在华盛顿奥索附近的2014年SR530泥石流中工作，至少在未来一年内修复现场和修复道路。这些航班还有助于增加斯蒂拉瓜米什河其他部分沿着居民的安全。 一架小型固定翼飞机和一架旋翼机无人驾驶航空系统被用来对泥石流和河流难以进入的区域进行纵向调查。 8月和11月的调查，加上早期的飞行，捕捉泥石流和河流随着时间的推移不断变化的状态，验证河流和泥石流如何随着季节变化的模型，完善新的地质和水文模型，并预测在2015年春季继续发生坍塌和洪水的可能性，这些坍塌和洪水将影响SR530的居民和其他部分。该研究为机器人和网络物理系统社区提供了在不受控制的天气条件下的小型无人机系统性能数据，人机交互社区提供了来自不同机构的用户如何与机器人数据交互，以及大数据数据集，以探索如何最好地存档，管理和可视化数据。 该研究正在指导新型小型无人机系统的设计，以支持对情况进行快速或具有成本效益的地理空间重建至关重要的应用，例如应急响应和关键基础设施检查。