A framework for AI-based self-adaptive cyber-physical process systems

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, R. Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, I. Timm, M. Vette-Steinkamp, B. Weyers
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引用次数: 1

Abstract

Abstract Digital transformation is both an opportunity and a challenge. To take advantage of this opportunity for humans and the environment, the transformation process must be understood as a design process that affects almost all areas of life. In this paper, we investigate AI-Based Self-Adaptive Cyber-Physical Process Systems (AI-CPPS) as an extension of the traditional CPS view. As contribution, we present a framework that addresses challenges that arise from recent literature. The aim of the AI-CPPS framework is to enable an adaptive integration of IoT environments with higher-level process-oriented systems. In addition, the framework integrates humans as actors into the system, which is often neglected by recent related approaches. The framework consists of three layers, i.e., processes, semantic modeling, and systems and actors, and we describe for each layer challenges and solution outlines for application. We also address the requirement to enable the integration of new networked devices under the premise of a targeted process that is optimally designed for humans, while profitably integrating AI and IoT. It is expected that AI-CPPS can contribute significantly to increasing sustainability and quality of life and offer solutions to pressing problems such as environmental protection, mobility, or demographic change. Thus, it is all the more important that the systems themselves do not become a driver of resource consumption.
基于人工智能的自适应信息物理过程系统框架
数字化转型既是机遇,也是挑战。为了利用人类和环境的这一机会,必须将转型过程理解为影响几乎所有生活领域的设计过程。本文研究了基于人工智能的自适应信息物理过程系统(AI-CPPS),作为传统CPS观点的扩展。作为贡献,我们提出了一个解决近期文献中出现的挑战的框架。AI-CPPS框架的目标是实现物联网环境与更高级别面向过程的系统的自适应集成。此外,该框架将人作为参与者集成到系统中,这一点经常被最近的相关方法所忽视。该框架由三层组成,即过程、语义建模、系统和参与者,我们描述了每一层的挑战和应用程序的解决方案概要。我们还解决了在为人类优化设计的目标流程的前提下实现新网络设备集成的要求,同时有利可图地集成人工智能和物联网。AI-CPPS有望为提高可持续性和生活质量做出重大贡献,并为环境保护、流动性或人口变化等紧迫问题提供解决方案。因此,更重要的是,系统本身不要成为资源消耗的驱动因素。
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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来源期刊
IT-Information Technology
IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.80
自引率
0.00%
发文量
29
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