基于Monte-Carlo的无人机系统安全目标水平评估

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说明:  针对无人机系统离开隔离空域,集成到国家空域系统相关风险评估问 题,本文提出了一种基于 Monte-Carlo 仿真的风险评估方法。首先对融合空域无 人机系统发生地面撞击事件的因素进行定量分析,再用参数分布定性描述影响无 人机系统安全目标水平的因素的不确定性,最后选取小米 4K、艾特 1290、翼龙 三款典型无人机,在陕西省西安市雁塔区、灞桥区、阎良区三个区域内利用 Monte-Carlo 仿真算法进行安全目标评估,并对各影响因素进行敏感性分析。
(Aiming at the risk assessment of UAV system leaving isolated airspace and integrating into national airspace system, a Monte-Carlo simulation based risk assessment method was proposed in this paper. First fusion airspace unmanned aerial vehicle (UAV) system on the ground impact factors of quantitative analysis and qualitative description with a parameter distribution target levels of unmanned aircraft system safety factors of uncertainty, finally, three typical UAVs, MI 4K, AT-1290 and Wing Loong were selected, and Monte-Carlo simulation algorithm was used to evaluate safety objectives in the three regions of Yanta District, Baqiao District and Yanliang district, Xi 'an city, Shanxi province, and sensitivity analysis of each influencing factor was conducted.)

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基于Monte-Carlo的无人机系统安全目标水平评估.pdf (815007, 2020-04-27)

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