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引用次数: 0
摘要
国防系统中的系统设计是一个竞争激烈的领域,其经济可行性依赖于一系列架构决策,旨在实现质量、资源和时间(Q,R,T)的折衷。我们注意到,低成本无人地面车辆(UGV)和无人机成为当前战场上的新威胁。为应对这些新威胁,陆军总司令部(Direction Générale de l'Armement,DGA)围绕战场机器人化组织了各种挑战,以设计未来的作战理论,帮助技术在合理的时间内达到成熟。本文介绍了基于北约架构框架(NAF)3.1的工作流程,其中包括在此类挑战中逐年迭代的实战经验回报。所描述的能力是与之相匹配的要求,组成系统基于现成组件(COTS),可同时应对两个版本的挑战。本文详细介绍了如何通过手动方式将现场反馈重新注入系统模型,从而无法确保下一次挑战赛的迭代。我们的作品就 "工程泄漏问题 "的表述提出了结论,并说明了该问题的解决方法是 NP-Hard,应使用优化方法来解决。
Modeling swarm mission with COTS characterization: a series of return on experience
System design in defense systems is a competitive field, in which economical viability relies on a sequence of architectural decisions, aiming at quality, resource and time (Q,R,T) compromises. We observe that low-cost unmanned ground vehicles (UGV) and drones appear as new threats on current battlefield. To face these new threats, Direction Générale de l'Armement (DGA) have organized challenges around robotization of battlefield, to design future employment doctrines and help technologies to reach maturity in a reasonable time. This article exposes a NATO Architecture Framework (NAF) 3.1-based workflow that includes return of experience form the field over yearly iterations of such challenges. The capabilities depicted are requirements to match, constituent systems are based on Components-Off-The-Shelf (COTS) answering to both edition of the challenge. This article details how manually re-injecting feedback from field back to the system model failed to ensure the next iterations of the challenge. Our works propose conclusions on formulation of the “engineering leakage problem” and how resolution of this problem is NP-Hard and should be addressed using optimization.