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Quantifying risk of ground impact fatalities of power line inspection BVLOS flight with small unmanned aircraft

机译:量化电力线路检查BVLO飞行的地面影响风险与小型无人机飞行

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One of the major challenges of conducting operation of unmanned aircraft, especially operations beyond visual line-of-sight (BVLOS), is to make a realistic and effective risk assessment. An important part of such an assessment is to identify the risk of fatalities, preferably in a quantitative way since this allows for comparison with manned aviation to determine whether an equivalent level of safety is achievable. This works presents a method for quantifying the probability of fatalities resulting from an uncontrolled descent of an unmanned aircraft conducting a BVLOS flight. The method is based on a standard stochastic model, and employs a parameterized high fidelity ground impact distribution model that accounts for both aircraft specifications, parameter uncertainties, and wind. The method also samples the flight path to create an almost continuous quantification of the risk as a function of mission flight time. The probability of fatality is determined for a Talon model aircraft on a power line inspection mission.
机译:无人驾驶飞机的运作的主要挑战之一,特别是超越视觉视线(BVLOS)的操作,是制定一个现实和有效的风险评估。这种评估的一个重要部分是识别死亡的风险,优选以定量方式,因为这允许与有载有人的航空进行比较以确定是否可以实现等效的安全水平。该作品呈现了一种用于量化由无人驾驶飞行飞行的不受控制飞机的不受控制的下降产生的死亡概率的方法。该方法基于标准随机模型,采用参数化的高保真地面影响分布分布模型,用于占飞机规格,参数不确定性和风。该方法还对飞行路径进行了采样,以创建几乎连续地量化风险的函数。对电力线检验任务的爪式模型飞机确定了死亡概率。

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