A major feature of the age of the Internet is the speed with which new offers and solutions emerge. Even if software-based services can be developed and provided within a short time, they still require a solid basis and underlying concepts, for example to enable customerspecific offers and new data linkages.

The procedure is usually quite similar: Sensor data about the status of a machine are correlated with the usage profile and the application context. By evaluating the data from a large number of machines, the manufacturer can use “Big Data” analyses to make predictions about the likelihood of failures, which can be used for maintenance planning. However, standards and structures for an integrated, comprehensive solution are still missing to date. Each manufacturer does their own thing, and many individual solutions are expensive and inflexible when used together.

This is where the European project MANTIS comes into play, which started in 2015: Across several areas of application, a tool kit for predictive maintenance shall be developed that can be configured flexibly for a wide variety of application purposes via a uniform reference architecture. Support will be provided for both stationary facilities, such as wind power plants, and mobile machinery, which may also have to operate for some time without any data connection. Fraunhofer IESE is contributing its competencies in systems engineering to the project and is in charge of the work on the design of the reference platform, which aims to deliver one platform for different application purposes.