Our maintenance strategy for our infrastructure today is based on a regular control of the condition. For bridges this control is carried out by qualified engineers in regular inspections. The analysis of the condition and its expected development is mainly determined by cyclic measurements detected with human senses. In other industries (e. g. aviation, power plants) full automated monitoring and evaluation of the condition using digital sensors is already common. This allows a real-time monitoring and a predictive maintenance. This digital transformation has not been transferred into civil engineering. This can be explained with the individuality, the dimensions, the long live-time and the relatively small rate of change of the most important vital parameters of bridge structures. But the transition to a digital maintenance of our infrastructure is essential to be able to evaluate our existing structures, to detect the initiation or the progress of degradation processes and to shift from a reactive to a predictive maintenance. A strategy to achieve this goal is the realisation of a digital bridge twin. Based on a three-dimensional BIM model of the geometry the condition is detected and determined by a combination of cyclic results from bridge inspections and other diagnostic evaluations supplemented by real-time monitoring data. The paper gives an overview over the concept of digital bridge twins and over the potential for geodetic techniques which allow and support the transition to a digital infrastructure. The actual state of the art concerning digital bridge twin is given in /Marx et al. o. D./.