Projects and products of the department MRD

A project of the same name aims to harness our experience across a whole host of AI application domains to realize MLOps with maximum effectiveness and automate it as far as possible. To that end a software suite was developed that incorporates a wide range of tools for creating machine learning applications and training the ML models.

Digitally supported and modular refurbishment of apartment buildings in neighborhoods with PVT-PCM heat pump systems and self-learning energy management

Economic efficiency, sustainability, ecology and individuality: Intermodal mobility - the use of different modes of transport on one route - has great potential. But the complexity must remain manageable. In other words: Getting to your destination intermodally, for example with a combination of (rental) bike, public transport and e-scooter, must be as easy and pleasant as reaching for your own car key.

Digital technologies and platform for the forecasting and operational optimization of drinking water supply systems.

A holistic optimization of district heating supply areas offers great potential, for example, through the feed-in of renewable energies, network expansion, energy savings and cost reduction, as well as a reduction in CO2 emissions. The aim is to initially make synergies visible by exchanging and combining data/information that has not been exchanged before, and ultimately to generate added value for as many participants as possible.

The NaviBox offers advanced autonomy functions and is ideal for anyone who wants to retrofit their vehicles or robots with autonomy functions.

Fraunhofer IOSB has developed an autonomous surface vehicle that autonomously takes measurements above and below the water to generate associated 3D maps.

The RLT-Opt project is developing new methods and tools to enable the inventory and savings potential to be quickly recorded in the first step, so that corresponding optimization measures can be implemented in a targeted manner in the second step. The first step is to analyze the tightness and operating mode of the ventilation and air conditioning systems. The operation of the ventilation and air conditioning systems is successively optimized by sensor-based recording and evaluation of essential operating parameters.

The Competence center “Robot systems for decontamination in hazardous environments” is the research center for autonomous or semi-autonomous robot systems, which are to be used in practical applications where work has so far been associated with a considerable risk potential for humans.

The global objective of the ML4Heat project is the development of methods and software tools for the optimization of the operation of existing district heating networks under energetic and economic aspects. For this purpose, sensor and operating data of the district heating transfer stations as well as the heat supply shall be collected to a large extent and evaluated by means of machine learning methods.