Projects and products

By means of the developed and integrated data management and above all thanks to the advanced data evaluation, it is possible to carry out systematic data evaluation as well as plant monitoring, thus increasing the efficiency of the production process.

In the Fraunhofer ML4P lead project, several Fraunhofer Institutes are pooling their application experience and machine learning skills to develop solutions for industry. The aim is to develop a tool-supported process model that paves the way for flexible, fast-learning machines and systems.

The HeatSteel project is developing innovative and energy-efficient heat treatment lines for ultra-thin precision strip.

Water supply networks are exposed to a constant danger of deliberate or accidental contamination. For this reason, the existing Drinking Water Ordinance requires regular sampling for certain bacteria and chemical substances. However, the existing procedures are very time consuming due to testing in special laboratories.

Das europäische FP7-Projekt SAFEWATER zielt darauf ab, eine umfassende Lösung zur Ereigniserkennung und Ereignisverwaltung für das Management der Trinkwassersicherheit und die Abschwächung gegen große absichtliche, zufällige oder natürliche CBRN-bezogene Kontaminationen zu entwickeln und insbesondere um

When operating heating, ventilation and air-conditioning systems in existing commercial buildings, it is often found that both the heat and cold supply and the individual room controls are very conservatively parameterised and the rooms are not heated or cooled according to demand. Permanent monitoring and optimisation by specialised personnel is usually not profitable. Consistent and cost-effective solutions for existing buildings are not available in the desired form. The project therefore aims to realise an integrated value chain for efficient monitoring and optimised operational management of properties from the building stock with low-investment measures.

The W-Net 4.0 project aims to develop a modular and scalable platform that combines GIS system, simulation software and data analysis tools and meets high IT security standards. Combined with novel service concepts, value-added networks and training concepts, small and medium-sized water supply companies will be enabled to use these technologies for the first time. For large utilities, novel and easy-to-use data analysis and optimization tools as well as corresponding service concepts will be made available.

The ResiWater project pursues the goal of enabling utilities to optimally secure the drinking water supply even in exceptional situations and to facilitate the restart of the system to normal operation after a crisis situation by choosing appropriate measures.

The overarching project objectives are to increase the use of renewable energies in district heating and to make the operation of district heating networks more efficient.

In this cooperation project, an intelligent system is to be designed and implemented as a prototype that enables the rapid detection and precise localization of leaks in district heating networks based on data and, based on this, calculates response strategies for shutting off network sections while ensuring an optimal supply to end customers.

The "Nitrate Monitoring" project includes an artificial intelligence for the analysis of the spatial and temporal distribution of nitrate in groundwater.

Solutions and standardization proposals that enable interoperability of unmanned systems and their control stations.

The GDS is a Fraunhofer IOSB implementation for managing OPC UA applications and their certificate management.

With the RRE principle (retro-reflection ellipsometry), curved surfaces can be inspected.

The vision of the Smart Factory Web is to create a network of intelligent factories in order to improve the order fulfilment of the participating companies. This is to be achieved by aligning capacities across production sites, firstly by flexibly adapting production capabilities and secondly by sharing resources, assets and inventory.

The idea of Team ARGGONAUTS, with which Fraunhofer IOSB competed in the Shell Ocean Discovery XPRIZE technology competition and finished among the top 5: autonomous catamarans tow lightweight diving drones into the field, where they single-handedly map the seabed at depths of up to 4000 metres.

In the Fraunhofer lighthouse project “FutureProteins”, Fraunhofer IOSB is developing a hybrid lighting system that will be used to produce plant-based protein raw materials.

The SAPHARI project aims to enable active and safe workspace sharing between humans and robots. All essential aspects of safe, intuitive physical interaction between humans and complex, human-like robotic systems are addressed. While encompassing safety issues based on biomechanical analysis, human-friendly hardware design, and interaction control strategies, the project will develop and validate perceptive and cognitive key components that enable robots to track, understand and predict human motions in a weakly structured dynamic environment in real-time.

The project "Hyperspectral Oil Leak Detection HYPOD" aims to acquire both geometrically high-resolution optical image data and spectrally high-resolution (hyperspectral) aerial images by means of a sensor flight platform. Automated, sensor-based evaluation in real time is intended to ensure early and reliable detection of leaks, supporting or even replacing purely visual and thus error-prone evaluation.

"blackValue" is a strategic, business-oriented research project of several Fraunhofer Institutes.