UAS的安全分析范例:通用架构和故障树模型的开发和使用

J. Hammer, A. Murray, Alexa Lowman
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引用次数: 3

摘要

无人驾驶航空系统(UAS,又称无人机)是一项引人注目的技术,为高效的新空域操作提供了许多可能性。操作人员和旁观者的安全是最重要的问题,迫切需要一个共同的、公认的安全方法来实现无人机系统的广泛采用。本文提供了一种安全分析方法,可以使用通用模型和小型无人机的建议标准化架构对多种应用进行安全分析。迄今为止,在美国,安全分析主要是在个性化、定制的基础上进行的,主要是为了支持特定的、有限的无人机操作豁免。例如,在美国联邦航空管理局(FAA)的探路者计划中,对无人机在三个重点领域的使用进行了安全分析:基础设施检查的超视距、农村地区的扩展视距和飞越人群。此外,还为多个个人申请人提供了大约400个豁免[1]。豁免程序是高度具体到个别申请人的操作和一个特殊的安全分析必须为每一个豁免请求进行。这对联邦航空局和工业界来说都是对资源的低效利用。如果可以采用一种适用于各种应用的通用无人系统安全分析模型,将会更有效。目前需要豁免的无人机操作的一个重要子类是称为超视距(BVLOS)的操作。BVLOS操作允许在UAS操作员视线之外的UAS飞行操作。BVLOS将允许多种经济效益应用,例如基础设施检查和农业。我们的方法旨在开始提供一种适应性强的分析框架,重点关注超视距操作,从而快速保证操作安全。这种方法的好处是双重的:首先,在短期内,申请豁免所涉及的工作量,无论是FAA还是申请人,都将大大减少;其次,该方法可用于通知关键系统要求的行业标准。这将使工业界在制定设备要求的通用标准方面有一个重要的开端,就像RTCA等标准机构通常所做的那样。为了提供一个UAS参考模型,提出了一个通用的小型UAS架构,用于跨UAS平台和操作进行分析。该体系结构使安全模型的输入能够适应目标UAS平台和操作场景。这种方法允许进行大规模模拟,可以分析不同操作场景下各种车辆性能配置的影响。本文还提供了一个针对特定操作可定制的故障树分析模型,并显示了一些有助于深入了解权衡和潜在需求的初始结果。本文在Patterson等人先前进行的分析[2]的背景下探讨了这些权衡,该分析确定了“由于任何原因失去控制的飞行”的顶级需求。故障树分析有助于识别模型系统故障条件(顶级事件)——无人机失去控制飞行的各种根本原因(基本事件)。该模型的吸引力在于它很容易适应不同的操作、安全准则、可靠性要求、设备标准等。本文给出了一种灵敏度分析方法,以评估不同误差水平下基本事件对系统故障的不同影响。故障树模型和灵敏度分析结果,以及伴随的通用架构,共同为无人机系统的安全分析提供了一种灵活的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safety analysis paradigm for UAS: Development and use of a common architecture and fault tree model
Unmanned Aerial Systems (UAS, a.k.a., drones) are a compelling technology with numerous possibilities for highly productive new airspace operations. Safety of operators and bystanders is of paramount concern, and a common, accepted, safety methodology is a pressing need to enable widespread adoption of UAS. This paper provides a methodology for safety analyses that can be conducted for multiple applications using common models and a suggested standardized architecture for small UAS. To date, in the US, safety analyses have been done on an individualized, custom basis, mainly in support of waivers for specific, limited UAS operations. For example, safety analyses have been conducted in the Federal Aviation Administration's (FAA) Pathfinder Program for use of drones in three focus areas: beyond visual line of sight for infrastructure inspections, extended visual line of sight in rural areas, and flight over people. In addition, approximately 400 waivers have been granted for multiple individual applicants [1]. The waiver process is highly specific to an individual applicant's operation and a special safety analysis must be conducted for each waiver request. This is an inefficient use of resources for both the FAA and industry. It would be more efficient if a common model for UAS safety analysis could be employed that was adaptable to varied applications. An important subclass of UAS operations which currently requires waivers are operations termed Beyond Visual Line of Sight (BVLOS). BVLOS operations allow for UAS flight operations which are out of the visual line of sight of the UAS operator. BVLOS will allow multiple economically beneficial applications, for example, infrastructure inspection and agriculture. Our approach seeks to begin providing an adaptable framework for analyses, focusing on Beyond Visual Line of Sight operations, that allows rapid assurance of operational safety. The benefits of this approach are twofold: first, in the near term, the workload involved in applying for waivers, both for the FAA and for applicants, would be significantly reduced, and second, the approach can be used to inform industry standards on key system requirements. This would give industry an important start in the development of common standards for equipment requirements, as is typically done in standards bodies such as RTCA. To provide a UAS reference model, a common small UAS architecture is proposed to conduct analyses across UAS platforms and operations. The architecture enables the safety model's inputs to be adapted to target UAS platforms and operational scenarios. This approach allows for large scale simulations that can analyze the impact of various vehicle performance configurations in differing operational scenarios. This paper also provides a fault-tree analysis model that is customizable to specific operations, and shows some initial results that help provide insights into tradeoffs and potential requirements. The paper explores these tradeoffs in the context of previous analysis conducted by Patterson et al. [2] which identifies a top-level requirement for “Loss of Controlled Flight for any Reason.” The fault-tree analysis helps to identify the various root causes (basic events) of the model's system failure condition (top event) — loss of controlled flight of the UAS vehicle. The attractiveness of the model is that it is easily adaptable to different operations, safety guidelines, reliability requirements, equipment standards, etc. The paper demonstrates a sensitivity analysis to assess the varying impact of the basic events on system failure at different error levels. The fault-tree model and sensitivity analysis results, along with the accompanying common architecture, together provide a flexible approach to UAS safety analyses.
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