In the area of Cyber-Physical Systems (CPS) the degree of complexity of systems continuously increases mainly based on new key-enabling technologies supporting those systems. One way to deal with this increasing complexity is to create a digital representation of such a physical system, a so-called Digital Twin (DT), which virtually acts in parallel ideally across the entire life-cycle of such a CPS. For this purpose the DT uses simulated or real-time data to mimic operations, control, and modify the CPS’s behaviour at runtime. However, building such DTs from scratch is not trivial, mainly due to the integration
task of heterogeneous systems residing in the operation as well as different technological spaces. In order to tackle this challenge, Model-Driven Engineering (MDE) can be used to logically model a CPS with its physical components. Usually, in MDE such “logical models” are created at design time which
keep them detached from the deployed system during runtime. Instead of building bilateral solutions between each runtime environment and every engineering tool, a dedicated integration layer is needed which can deal with both worlds (design as well as runtime). Therefore, we present in this paper a reference architecture that allows on the one side to query data from model repositories to enrich the running system with design time knowledge, and on the other side, to be able to reasoning about system states at runtime in design-time models. For this purpose we present a model repository query and management engine as mediator and show its feasibility by a demonstration
case.