Organized Driving Intellectual Content to Assist Situation Recognition

L. Horváth
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引用次数: 1

Abstract

Situation is one of the recent key issues in engineering mainly because smart cyber physical system (CPS) use it as direct driving context at decision on physical activities. Definition, representation, and recognition of situation and its application as driving context have become essential in smart CPS. Recognized situation is context for decision on real time executed physical activities in smart CPS environment where dozens or even hundreds of cooperating systems operate industrial or commercial product. Owing to quick development of virtual technology during the past two decades, lifecycle engineering of complete industrial product can be done using a single autonomous model system (AMS). AMS is continuously developed and applied during the integrated innovation, production, and life cycle of CPS. Therefore, development of AMS to eligible for smart CPS is actual issue. Former relevant publications by the author introduced various purposed driving content structures which purpose was to provide organized driving contexts for engineering model systems and cyber units of CPS. This paper introduces the organized driving intellectual content (ODIC) structure specifically to support situation recognition at model based engineering. Before introducing the ODIC structure, new model of the thoroughly changed engineering scenario is introduced and applied to explain the main problem solution for which the contribution is conceptualized in this paper. Situation awareness related issues are discussed. Methodological essentials of ODIC is followed by situation related structural units of the proposed ODIC. Finally, some circumstances around implementation are outlined.
有组织的驾驶知识内容,以协助情况识别
情境是当今工程领域的关键问题之一,这主要是因为智能网络物理系统(CPS)将情境作为物理活动决策的直接驱动背景。情境的定义、表示和识别及其作为驾驶环境的应用在智能CPS中已经变得至关重要。在智能CPS环境中,数十个甚至数百个协作系统操作工业或商业产品,识别情况是对实时执行的物理活动进行决策的背景。近二十年来,随着虚拟技术的迅速发展,利用单个自主模型系统(AMS)就可以完成整个工业产品的生命周期工程。AMS在CPS的集成创新、生产和生命周期中不断发展和应用。因此,开发符合智能CPS要求的AMS是现实问题。作者以前的相关出版物介绍了各种有目的的驱动内容结构,其目的是为CPS的工程模型系统和网络单元提供有组织的驱动上下文。本文专门介绍了有组织的驾驶智能内容(ODIC)结构,以支持基于模型的工程中的态势识别。在引入ODIC结构之前,引入了彻底改变的工程场景的新模型,并应用该模型来解释本文概念贡献的主要问题解决方案。讨论了态势感知相关问题。ODIC的方法要点之后是与提议的ODIC的情况相关的结构单元。最后,概述了实现的一些情况。
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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