CCM Use Case in the AI Living Lab enters the next phase
The implementation of the use case “Collaborative Condition Monitoring” (CCM)  in the AI Living Lab is taking more and more shape and is entering an exciting phase. The development of AI-based monitoring applications can be significantly accelerated through cross-company data exchange, but also the product development of integrated components can be made more effective if all suppliers in the value chain better understand the operational use of their components.
In the AI Living Lab, the lowest common denominator of CCM – the three-way fractal consisting of factory operator, machine supplier and component supplier – is mapped accordingly. For this purpose, the demonstrator “Customized Production System” (machine) in the SmartFactory OWL (factory) and its total of 16 motors (component) are equipped by a semantically interoperable information model according to concepts of the asset administration shell . The scope of the data focuses on temperature-specific information. For example, the drive components are able to compare corresponding data with defined threshold values through internal temperature sensors, while external thermometers record the ambient temperature at the factory operator level.
Common rules ensure an open exchange and assure all participants that their respective interests are protected. The place of data creation is naturally on the side of the operator, who thus also has primary data sovereignty. While a supplier predefines the required type-specific data sets and agreements, at the factory level it can decide sovereignly which of these are to be harmonized with its own rules and regulations or which advantages it sees in them.
The data of several product instances of one type then flow together on one platform and are available for the development of optimized monitoring applications. In the AI Living Lab, this is initially done in the SmartFactory Edge Cluster and should also work with GAIA-X  compliant systems in the future.