Wolfsburg, Germany, September 27-28, 2016

The task 2.1 of the Maya project consists in the design and implementation of the CPS data model architecture. The team, composed by different experts belonging to MAYA consortium, participated in a workshop in Wolfsburg at the Volkswagen site at the end of September 2016. Thanks to the Volkswagen MAYA use case, the MAYA team joined a Volkswagen plant tour to get some impressions of the background of the use case. The team also visited a robot lab showing human-robot interaction which was built up by Volkswagen in cooperation with DFKI.

The objective of the workshop was twofold: on the one hand to exchange knowledge based on first results in the task and on the other hand to discuss a first draft of the MAYA meta data model. The MAYA meta data model shall capture a cyber physical system (CPS) itself as well as the CPS based simulation model. As a consequence, the MAYA meta data model will have to support static data (3D model, kinematics structure, etc.) and behavioural models, and, in addition, the aggregation of CPS into hierarchical structures to model full plant layouts. It also has to (i) consider the duality of CPS templates that constitute libraries of reusable components and CPS instances that represent real/simulated devices, and (ii) fulfil the requirements of both Volkswagen and FinnPower use cases.

The first draft of the MAYA meta data model, in a nutshell, consists of two parts: the part that models the CPS itself and the product routing. As a main result of the workshop, several topics have been identified that need to be addressed by the consortium during the next weeks. This includes a refinement of the use cases with respect to the information flow and an "inventory" of the types of objects / equipment in the use cases. These data will help to validate the meta data model with respect to the use cases. Security aspects, relationships and hierarchical views will be considered in more detail as well.

The next meeting is planned in December 2016 with the goal to check the meta data model based on the detailed use case data.


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