论文标题
使用语义Web服务用于基于AI的行业研究4.0
Using Semantic Web Services for AI-Based Research in Industry 4.0
论文作者
论文摘要
向行业4.0的过渡需要易于配置的智能制造系统，并在制造过程中提供高水平的灵活性，以实现大规模定制或支持云制造。为了实现这一目标，网络物理系统（CPSS）与人工智能（AI）方法相结合，找到了进入制造商店地板的方法。对于在行业4.0背景下使用AI方法，语义Web服务是必不可少的，即可提供基础制造能力的合理抽象。在本文中，我们为基于AI的行业研究提供了语义Web服务4.0。因此，我们开发了300多个语义Web服务，用于基于Web服务（OWL-S）和Web服务建模本体（WSMO）的Web本体语言的物理模拟工厂（WSMO），并将其链接到已经存在的智能制造控制的已经存在的领域本体。适合CPS环境的需求，我们的前和后条件通过调用其他语义Web服务（与知识库中的复杂推理相比），从实时验证。最后，我们通过使用工作流管理系统来执行由语义Web服务组成的网络物理工作流来评估我们的实现。
The transition to Industry 4.0 requires smart manufacturing systems that are easily configurable and provide a high level of flexibility during manufacturing in order to achieve mass customization or to support cloud manufacturing. To realize this, Cyber-Physical Systems (CPSs) combined with Artificial Intelligence (AI) methods find their way into manufacturing shop floors. For using AI methods in the context of Industry 4.0, semantic web services are indispensable to provide a reasonable abstraction of the underlying manufacturing capabilities. In this paper, we present semantic web services for AI-based research in Industry 4.0. Therefore, we developed more than 300 semantic web services for a physical simulation factory based on Web Ontology Language for Web Services (OWL-S) and Web Service Modeling Ontology (WSMO) and linked them to an already existing domain ontology for intelligent manufacturing control. Suitable for the requirements of CPS environments, our pre- and postconditions are verified in near real-time by invoking other semantic web services in contrast to complex reasoning within the knowledge base. Finally, we evaluate our implementation by executing a cyber-physical workflow composed of semantic web services using a workflow management system.
