无人机行业增长:预测对区域基础设施、环境和经济的影响

C. Wargo, Corey Snipes, A. Roy, R. Kerczewski
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引用次数: 12

摘要

为不断增长的无人机工业和将无人驾驶车辆整合到美国国家空域做准备的关键要求是一种明确和具体的预测方法。我们必须知道正在进行什么类型的操作,它们将在哪里发生,以及将使用什么类型的车辆。当前的需求预测模型与任务需求的实际目的没有紧密耦合(例如,就物理结构的实际位置而言,如要检查的风车、要调查的农场、要巡逻的管道等)。为此,在NASA的指导下,Mosaic ATM正在为商业和政府组织用户开发一个众包需求预测引擎,以利用和共享经过审查和准确的预测数据,并扩展该数据以评估相关影响。离散空域密度无人机系统需求发生器(UAXPAN)项目将来自不同来源的预测数据以通用数据格式组合在一起,并使用这些数据为需求预测提供坚实的基础。这种具体的、数据驱动的预测对于理解不断增长的无人机行业对区域基础设施、环境和经济的影响至关重要。
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UAS industry growth: Forecasting impact on regional infrastructure, environment, and economy
A key requirement in preparing for a growing UAS industry and for the integration of unmanned vehicles into the US national airspace, is a method for clear and specific forecasting. We must know what types of operations are being performed, where they will occur, and what types of vehicles will be used. Current demand forecast models are not tightly coupled to the real purpose of the mission requirements (e.g. in terms the real locations of physical structures such as windmills to inspect, farms to survey, pipelines to patrol, etc.). To this end, Mosaic ATM under NASA guidance, is developing a crowd-sourced demand forecast engine for commercial and government organizational users to draw upon and share vetted and accurate projection data, and extend that data to evaluate associated impacts. The UAS Demand Generator for Discrete Airspace Density (UAXPAN) project combines forecast data from disparate sources in a common data format, and uses these to present a solid basis for demand forecasts. This specific, data-driven forecasting is crucial to understanding the impacts of a growing UAS industry on regional infrastructure, environment, and economy.
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