Context sensitivity refers to the inclusion of information that specifies the state of individual components, devices, machines or systems and their environment. This context information is stored centrally in E4IoT as digital twins and made available dynamically to mobile assistance applications. The implementation of the assistance system was based on the specific application example of a spindle exchange in order to simulate various process steps that occur during maintenance activities.
The focus was not only on integrating dynamic context information from E4IoT, but rather on providing process models. These should not only reflect the operational view of maintenance processes, but also enable the interface to E4IoT and thus the automatic integration of context information.
The use case was implemented in two different environments. The first environment used Fraunhofer IPK's MO²GO software tool to create the process models and an extension of the existing service case app to visualize the process as an Android application. The second environment is built on the open source tool Camunda BPM. In this environment, both the process modeling and the downstream visualization took place as a web application.
In the course of the use case, so-called process patterns could be developed, which should enable modeling alternative use cases. The development of such process patterns in the field of maintenance is a subject of current research.