MRO Data Systems
DLR/Aswin-Mathews-Thampan
The research area MRO Data Systems focusses on the digital transformation in maintenance. Methods for data handling in future MRO scenarios are being developed. This includes digital twins of assets, processes and stakeholders, their interaction as well as considerations regarding safety and security to assure a high level of resiliance. With close links to related research, such as the development of MRO technology, condition-monitoring and prediction, process simulation and the development of new maintenance concepts, the research on data systems aims at a comprehensive integration of these activities and technologies.
Current stakeholder interactions are mainly based on human actions. A big potential is seen in advanced digitial solutions using Industry 4.0 (I4.0) approaches. They assure a digital continuity, increased efficiency and can partially automate transactions and processes. These approaches range from simple data sharing to automated negotiations and are closely coupled to process simulation and optimisation in prescriptive maintenance. Asset administration shells (AAS) are particularly addressed as means to connect physical assets to the digital world.
A fully digitalized maintenace requires a complex data management. Digital twin concepts are being investigated as a link between any asset-related information along the entire lifecycle. Data, models and knowledge is distributed across different stakeholders. Further research focusses on how such information can be shared considering different conditions and limitations regarding accessibility and usage rights. Methods for data fusion from such distributed sources are being developed and the involved risks and implications of data-based services relying on multi-skakeholder data are being investigated. Sharing and combining data requires standards for the digital representation of information. In this context research focuses on specific data standards, such as Digital Imaging and Communication for Nondestructive Evaluation (DICONDE) for non-destructive testing data and the digital product passport (DPP) as an I4.0-based condensed representation of key parameters of an asset.
Key Topics
Digital MRO Concepts
- Concepts and Implementation of Digital Twins
- Integration of Data Sources
- Stakeholder Interaction
Maintenance Data Management
- Data Standards and Protocols
- Data Integration and Processing
- Data Integrity, Intereoperability and Availability
Digital Infrastructure
- Robust Data Infrastructure
- Technology Integration
- Interfaces and Exchange