ABSTRACT
Road tunnels are complex infrastructure buildings whose maintenance involves a high level of technical and administrative effort. Above all, the availability and necessary reliability of the installed safety technology, which should enable tunnel users to rescue themselves in the event of a fire, generates substantial maintenance and repair costs as well as sometimes also temporary failures in the availability of the structure. Consistent, reliable and up-to-date information on the condition of the structure and its operating technology must therefore be available to ensure safe operation.
Basically, the operation can be optimized and efficiently implemented with the help of digital twins of the structures and the technology installed in them. To achieve this, a) the operational routines and the structure itself must be correctly modelled and stored and b) the virtual images must be linked bidirectionally with current status and operational data on the basis of suitable data structures. However, essential development steps are missing for this.
In the course of the DIDYMOS-project, funded by the German Federal Ministry for Digitalization and Traffic, strategies are developed for the initial creation of digital twins for existing tunnels by six project partners. Scalable and innovative processes for generic and standardizable data structures and interfaces are developed that enable flexible linking and updating of an initial digital twin. Due to the large number of structures in the current building stock, the evaluation of existing as-built documents and condition data recorded using optical methods is designed as automated as possible. In addition, a concept is developed that allows users to interact with the twin and thus support operational processes and enable predictive maintenance of the structure. This requires the development of intuitive interaction and visualization concepts for tunnel management. This publication will show the current status within the project and visualize first steps to a fully digitalized operation.
