Industry 4.0 is transforming industrial automation systems into increasingly complex cyber-physical systems (CPS). In particular, there is a need to integrate systems across horizontal and vertical layers across industrial and disciplinary domains. The development of industrial CPS requires not only high-level configuration and control at the execution system level, but also offline and online engineering (OOE) work, including mechanical and electrical engineering of the devices, their installation, networking, and documentation. Using DevOps, a collection of modern software lifecycle management tactics, we propose to build an integrated platform to manage the OOE tasks. Continuous Integration/Continuous Delivery (CI/CD) pipelines and Infrastructure as Code, which are key aspects of DevOps, coordinate the building, testing, and deployment of software services. To bring the corresponding benefits of pure software systems to industrial CPS, we integrate engineering tasks using distributed version control and the W3C Web of Things. As a proof of concept, we implemented the concept for a mock system that includes the OOE tasks in a process automation scenario. The DevOps platform provides a structured transfer and exchange of engineering knowledge among stakeholders involved in industrial CPS.
CCS CONCEPTS• Software and its engineering → Software development process management; • Information systems → Information integration; Web applications; • Human-centered computing → Collaborative content creation.
We demonstrate how autonomous goal-directed agents can exploit hypermedia to acquire and execute new behaviors at run time. In addition to behaviors programmed into the agents, in our system agents can discover and reuse behaviors extracted from machinereadable resource manuals. Such manuals can be published by developers, synthesized by agents through automated planning, or even specified by human users at run time. Agents can then discover and use physical and virtual resources in flexible ways, which allows them to better cope with the rapid evolution of open and dynamic Web environments.
CCS CONCEPTS• Human-centered computing → Web-based interaction; Hypertext / hypermedia; • Computing methodologies → Multiagent systems.
Industrial Internet of Things (IoT) systems are becoming increasingly complex with interconnected field devices. To cope with the complexity and to facilitate further interoperability between heterogeneous field devices, it is necessary to have a holistic understanding of different types of provenance information about field devices and associated processes. In this paper, we investigate the potential integration of such provenance with the W3C Web of Things and current industrial standards to realize more explainable, efficient, and safer industrial IoT systems.
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