AMG

Digital Twins for the protection of critical infrastructures help in particular to make forecasts about the effects in crisis situations and to identify suitable measures. This supports emergency services and crisis teams so that they can make the right decisions in critical situations. Models and simulations must be created for different types of complex infrastructures in order to establish this forecasting capability.

While buildings can already be designed on the computer nowadays, the digitization of existing, historically grown infrastructures is associated with time-consuming, manual work. This makes it impossible to use Digital Twins spontaneously in the event of a crisis and limits their use to a few selected infrastructure projects due to the high costs involved.

One promising approach to both reducing costs and speeding up the creation of Digital Twins is to automate this process. As part of the Automated Model Generation Methods project, we are developing methods to automate this generation process. By using a modular principle, we want to record infrastructure and create forecasting tools more quickly.

To this end, we develop methods that recognize components and their interconnections based on real survey data and infrastructure plans. Based on these system properties, we create modular models and transfer them to a virtual world. These models are designed to be adaptive and enable continuous further development, including technical facilities, modeling of people flows and social systems and their interaction.