In an emerging cyber-physical world, process management technology faces new challenges regarding the digitization of business processes. For example, the construction of pharma packaging machines requires the execution of thousands of data- and knowledge-intensive tasks. The business processes coordinating these tasks need to be aligned with the physical world, which raises demanding requirements for any process-aware information system, e.g., in respect to process flexibility in general and process variability support in particular.
Due to the dissemination of Industrial Internet of Things (IIoT) in many areas (e.g. manufacturing), devices and systems are equipped with numerous sensors producing an enormous amount of data. Although these sensor data constitute valuable contextual data of the business processes running in a cyber-physical world, there is a lack of integration between the digital processes executed within a process-aware information system and these cyber-physical data. As a consequence, a huge gap between the real-world processes, taking place in the cyber-physical world, and their digital counterparts run within a process-aware information system might exist.

The CaPE project aims to support digital processes in a cyber-physical environment by enabling a tighter integration of these digital processes with physical contextual data. In particular, CaPE shall provide sophisticated concepts, methods and technologies that enable intelligent data acquisition across pervasive networks, advanced data analytics, and context- as well as process-aware information systems.

As application scenario CaPE will consider predictive maintenance processes. In the context of the latter, service technicians are supported by a context-aware, adaptive process execution across their work tasks.

Context-aware Process Injection (CaPI) Screencast