Federal Ministry of Economic Affairs and Energy
Leibniz University Hannover, Bielefeld University, and Saltation GmbH
Dr. Andreas Momber
Data-based condition monitoring and maintenance planning for protective coating systems for steel structures
The application of protective coating systems is the major measure against the corrosion of steel structures. The organic coatings are, however, susceptible to atmospheric exposure and tend to deteriorate during the operation. The inspection and condition monitoring of protective coating systems on large and complex steel structures is a demanding, costly and time-consuming procedure and requires high human effort. The rapid developments in digitization and data analysis offer opportunities to notably increase the efficiency of monitoring processes and to develop (semi-)automated standardized procedures. The project ISyMOO is focused on a data-oriented approach to utilize digital data for the monitoring and maintenance planning of surface protection systems on large steel structures.
The following results are achieved:
- Segmentation of an existing structure into a number of reference areas based on an In-situ Virtual Twin.
- Introduction of a local deterioration degree for each individual reference area.
- Utilization of an online annotation and management tool for image data.
- Use of heterogenous multi-modal data (image data, geodetical data, meteorological data, profile scanning data, sensor data) as the sources for condition assessment and monitoring.
- Development of a maintenance model for protective coatings on steel structures.
Virtual Twin of an onshore wind turbine with reference area.
Sensor layout for corrosion rate measurements
under offshore conditions
Sensor arrangement mounted on an offshore
wind power platform in the North Sea.