Safety of Unmanned Aircraft Systems Facing Multiple Breakdowns

P. Carle, C. Choppy, R. Kervarc, Ariane Piel
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引用次数: 3

Abstract

This work deals with data analysis issues in an aeronautics context by using a formal framework relying on activity recognition techniques which are applied to the certification and safety analysis processes of Unmanned Aircraft Systems in breakdown situations. In this paper, the behaviour of these systems is modelled, simulated and studied in case of multiple failures using a complex event processing language called chronicles to describe which combinations of events in time may lead to safety breaches, and a C++ chronicle recognition library is used to implement this method.
面对多重故障的无人机系统的安全性
这项工作通过使用依赖于故障情况下无人驾驶飞机系统认证和安全分析过程的活动识别技术的正式框架来处理航空环境中的数据分析问题。在本文中,这些系统的行为建模,模拟和研究,在多重故障的情况下,使用一种复杂的事件处理语言,称为时序来描述哪些事件的组合在时间上可能导致安全漏洞,并使用一个c++时序识别库来实现这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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