Future cyber-physical production systems (CPPS) constitute a complex and dynamic network of services and plant components such as actuators and sensors. Consequently, the manual technical specification and design of these systems are a complex and time-consuming task involving extensive expert knowledge. In scope of CPPS, current approaches to reduce the engineering effort focus on manufacturing technology. There are initial approaches in the domain of process engineering available. However, these neither consider the knowledge-supported definition of recipe-based operations nor the assignment of dynamic service networks to process modules. The objective of this contribution is the design of a concept and a systematic approach to automate the engineering of batch process plants respecting dynamic service networks and process modules using a knowledge-based assistance system. For this purpose, a declarative recipe description is combined with an ontological model. This enables an automatic inference of technical requirements. Based on this information, a multistage orchestration algorithm selects and combines process modules and networked services to find appropriate engineering solutions. Finally, a comprehensive case-study demonstrates that the proposed approach is able to automate the target-oriented selection and combination of process modules and service networks.

中文翻译：

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过程技术领域网络物理生产系统的本体辅助工程


未来的网络物理生产系统（CPPS）构成一个复杂且动态的服务网络和工厂组件（例如执行器和传感器）。因此，这些系统的手动技术规范和设计是一项复杂且耗时的任务，涉及广泛的专业知识。在 CPPS 范围内，当前减少工程工作量的方法主要集中在制造技术上。在过程工程领域有一些初步的方法可用。然而，这些既没有考虑基于配方的操作的知识支持定义，也没有考虑动态服务网络到过程模块的分配。本贡献的目标是设计一个概念和系统方法，使用基于知识的辅助系统，实现批量过程工厂工程的自动化，尊重动态服务网络和过程模块。为此，声明性配方描述与本体模型相结合。这使得能够自动推断技术要求。基于此信息，多级编排算法选择并组合流程模块和网络服务，以找到合适的工程解决方案。最后，全面的案例研究表明，所提出的方法能够自动化流程模块和服务网络的面向目标的选择和组合。