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Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation - A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation

机译:用于动态工厂自动化应用的网络物理控制模型的自组织服务结构 - 基于雾/边缘的解决方案模式实现服务的过程自动化

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The convergence of information technology and operational technology is a strong force in fabric automation. Service-oriented architectures and cloud computing technologies expand into next generation production systems. Those technologies enable a lot of new possibilities; such as high agility, global connectivity and high computing capacities. However, they also bring huge challenges regarding flexibility and reliability through increasing system dynamics, complexity and heterogenity. New solution patterns are needed to conquer those challenges. This paper proposes a new fog-oriented approach, which shows how future production systems, that are often called cyber-physical production systems, can deal with dynamically changing services and infrastructure elements. The goal is to provide an adequate degree of flexibility and reliability across the whole production lifecycle. Therefore, an event property model ("bubble model"), a multi-criterial evaluation metric and extensions to Kuhn-Munkres and Add algorithm are described. The overall concept is evaluated by an application example from the field of process engineering. With the help of practical case studies and dynamic system simulations, qualitative results are gained.
机译:信息技术和运营技术的融合是织物自动化的强大力量。面向服务的架构和云计算技术扩展到下一代生产系统。这些技术能够实现很多新的可能性;如敏捷,全局连接和高计算能力。然而,它们还通过增加系统动态,复杂性和异质性来带来关于灵活性和可靠性的巨大挑战。需要新的解决方案模式来征服这些挑战。本文提出了一种新的雾化方法,该方法显示了未来的生产系统,通常被称为网络 - 物理生产系统,可以处理动态变化的服务和基础设施元素。目标是在整个生产生命周期中提供足够的灵活性和可靠性。因此,描述了事件属性模型(“泡沫模型”),多标准评估度量和对Kuhn-Munkres和Add算法的扩展。总体概念由过程工程领域的应用示例进行评估。借助实际案例研究和动态系统模拟,获得了定性结果。

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