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LOGISTICS UNMANNED AERIAL VEHICLE FAILURE RISK ASSESSMENT METHOD BASED ON BAYESIAN NETWORK

机译:基于贝叶斯网络的物流无人驾驶飞行器故障风险评估方法

摘要

Disclosed is a logistics unmanned aerial vehicle risk assessment method based on a Bayesian network. The method comprises the steps of: from the perspective of a system structure, an operating environment and a human factor, analyzing and obtaining causal factors of an accidental crash accident of a logistics unmanned aerial vehicle and probability values of the causal factors; constructing a logistics unmanned aerial vehicle failure assessment Bayesian network; and constructing a conditional probability table for the logistics unmanned aerial vehicle failure evaluation Bayesian network: calculating the risk of an accidental crash accident occurring in the logistics unmanned aerial vehicle when different accident causal causes occur, etc.
机译:公开了一种基于贝叶斯网络的物流无人驾驶空中车辆风险评估方法。 该方法包括以下步骤:从系统结构,操作环境和人类因子的角度来看,分析和获取物流无人驾驶飞行器的意外碰撞事故的因果区和因果因素的概率值; 构建物流无人机失效评估贝叶斯网络; 并构建物流无人空中飞行器故障评估贝叶斯网络的条件概率表:计算在不同的事故因果原因发生时,计算物流无人机车辆中发生意外碰撞事故的风险。

著录项

  • 公开/公告号WO2021213542A1

    专利类型

  • 公开/公告日2021-10-28

    原文格式PDF

  • 申请/专利权人 CIVIL AVIATION UNIVERSITY OF CHINA;

    申请/专利号WO2021CN95467

  • 发明设计人 HAN PENG;

    申请日2021-05-24

  • 分类号G06Q10/06;

  • 国家 CN

  • 入库时间 2022-08-24 22:00:05

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