Description of the work package
Logistics as a central domain of application for the Internet-of-things offers an ideal environment for the connection of physical objects and procedures with artificial intelligence. The logistics product lifecycle management (PLM) describes an approach for integrated management of product data in chains of added value along the entire lifecycle of products. During the product lifecycle of machines and systems enormous amount of data emerges whose integration into networks of added value is extremely relevant. These data are often characterized as sensible and its elicitation, storage and further processing needs safety standards and usage warranties beyond company boundaries. Because the sovereignty of data can’t be ensured in most cases, the use of externally used Collaborative Condition Monitoring (CCM) is currently often prevented.
In this context, the International Data Space (IDS) offers a reference architecture that guarantees the necessary data sovereignty and thus enables CCM. In this context, CCM is considered a technical »enabler« for maintenance-free production systems, as the collaborative exchange of status data enables more valid forecasts of impending faults. As a result, the vision of completely avoiding unplanned maintenance activities can be realised in the future.