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The Challenges of using Value-Driven Design for practical design of UAVs

机译:在无人机的实际设计中使用价值驱动设计的挑战

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摘要

The Decision Environment for Complex Designs (DECODE) project at the University of Southampton aims to provide a multidisciplinary environment to support and improve design decisions in order to maximize long term product value. This approach involves the analysis of the overall product life-cycle, from conceptual design to the end of its service life. This paper discusses the issues faced and the limitations of the DECODE framework in the design, search and optimisation of multiple UAV configurations. The fundamental issue lies in the calculation of value metric, which indicates the 'goodness' of the system. The value metric used is based on Net-Present-Value (NPV) where a monetary value is assigned to mission success. In the case of search and rescue operations it is the value of saving a human life. This paper also explores the possible solutions to increase the flexibility of the DECODE design tool. Central to the DECODE design process is the concept design tool which was developed from basic principles and augmented with empirical data coming from previous UAVs designs. This however, limits the assessment of various UAV configurations as the runtime for each configuration is significant which makes the evaluation of multiple UAV systems infeasible. A more rapid assessment methodology is proposed: this involves a Knowledge-based Framework (KBF) that allows the user to explore various UAV configurations and down select from them using requirements. This framework is based on an aircraft domain ontology and logic inference, which utilizes semantic-web-tools and an organized flow of information that ensures clarity in the decisions made.
机译:南安普敦大学的复杂设计决策环境(DECODE)项目旨在提供一个多学科的环境来支持和改进设计决策,从而最大化长期产品价值。这种方法涉及从概念设计到使用寿命结束的整个产品生命周期的分析。本文讨论了在多个无人机配置的设计,搜索和优化中面临的问题和DECODE框架的局限性。基本问题在于价值度量的计算,这表明了系统的“优良性”。所使用的价值量度基于净现值(NPV),其中将金钱价值分配给任务成功。在搜救行动中,这是挽救生命的价值。本文还探讨了可能的解决方案,以提高DECODE设计工具的灵活性。 DECODE设计过程的核心是概念设计工具,该工具是根据基本原理开发的,并补充了以前的无人机设计提供的经验数据。然而,这限制了对各种无人机配置的评估,因为每种配置的运行时间很长,这使得对多个无人机系统的评估变得不可行。提出了一种更快速的评估方法:这涉及一个基于知识的框架(KBF),该框架允许用户探索各种无人机配置并根据需求从中进行选择。该框架基于飞机领域的本体和逻辑推理,它利用语义网络工具和有组织的信息流来确保决策的清晰性。

著录项

  • 来源
    《Journal of aerospace operations》 |2012年第4期|377-386|共10页
  • 作者单位

    Computational and Engineering Design Group, University of Southampton,Southampton, SO17 1BJ, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

    Computational and Engineering Design Group, University of Southampton, Southampton, UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    value-driven design; UAV; knowledge based engineering;

    机译:价值驱动的设计;无人机知识工程;

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