NextBase: Intelligent adaptation of production and intralogistics systems
The aim of the project is to enable the use of methods from prescriptive analytics & machine learning in our automation projects.
Digital twins are an indispensable part of an innovative production facility. RISC Software GmbH would like to further establish these, among other things, for production processes and driverless transport systems through individual software solutions for its customers. For example, in the sense of optimal control of a production plant, tool wear can be minimized through feedback systems. The basis for correct functioning is a mature simulation and precise modeling for reliable prediction of the influencing variables.
Domain-specific modeling and virtual product development
With the digitization and optimization of the entire development process chain, RISC Software GmbH and its partners would like to take a path towards domain-specific modeling and virtual product development. With the help of a domain-specific language, it wants to provide domain experts on site with a tool with which they can independently adapt the design and production process according to their own wishes.
Simulation solutions using high-performance computing
The focus on high-performance computing (HPC) makes it possible to develop solutions for time-critical systems in particular. With its expertise in optimization, scientific computing and artificial intelligence methods, RISC Software GmbH sees itself as a reliable partner for the development of comprehensive, scalable and also practical simulation solutions.
Application in medicine
In the field of medicine, digital twins of anatomical structures are created in order to gain new medical insights on the one hand and to make complex surgical procedures safely trainable on the other.
Reference projects
DiTwin: Revolutionizing road management with digital twin technology
DiTwin revolutionizes road management with digital twin technology for optimized asset management.
Virtual Aneurysm: Simulation, Training and Assessment of Neurosurgical Interventions
Simulator for training clipping operations
EndoPredictor – Prediction system for complications after endovascular aortic repair based on geometric-biomechanical data
Artificial intelligence for predicting complications in aortic aneurysm treatments.
Forschungsprojekt TRAPH: Traffic Management and Information System
TRAPH aimed to design and prototype the data management of ASFiNAG’s new traffic management and information system 2.0.
Platform-ZERO aims to reach zero defect manufacturing for the photovoltaic industry
Das EU-Projekt “Platform-ZERO” zielt darauf ab, die allgemeine Produktionsqualität von Photovoltaikgeräten zu verbessern und gleichzeitig die Herstellungskosten durch eine Null-Fehler-Fertigung zu senken.
EU project metaFacturing: Digitalization in metal part production
The EU-funded Horizon Europe project MetaFacturing aims to advance digitization in the field of metal part production – casting and welding.
NC machining simulation
he combination of an extensive, detailed and optimally adapted offline simulation in the CAD/CAM area and a high-performance, memory-optimized and integrated real-time simulation for collision avoidance supports customers of WFL Millturn Technologies GmbH & Co. KG in the use of their complete machining centers.
Surface 3D
Inaccurate estimates of burn size can lead to suboptimal medical decisions with significant consequences for patients. With the help of Surface 3D, a precise calculation of the burn size is made possible, thus ensuring patient safety and supporting medical staff in everyday clinical practice.
Medical Image Processing, Modeling and Simulation based on Artificial Intelligence
The research area “Medical Image Processing, Modeling and Simulation based on Artificial Intelligence” (MIMAS.ai) covers a cross-section of highly dynamic research topics, which are becoming increasingly important in medical application fields, not least due to current technological advances.
MEDUSA – Medical EDUcation in Surgical Aneurysm clipping
The aim of the MEDUSA consortium is to develop a revolutionary training and planning platform for neurosurgeons in order to simulate complex brain interventions in a detailed and holistic manner.
Project opt1mus
The opt1mus project is developing a holistic system for the light metals industry that will use digital twins and artificial intelligence to make production more efficient and lower emissions.
Application Engineering Tool
Miba application engineers can now use the application engineering tool to define, analyze and evaluate the requirements and design of the planned tribological system (brakes and clutches) together with the customer.
Project RegioLog
The “RegioLog” project aims to bring together producers, retailers, large-scale kitchens and small catering businesses via a joint platform to make the purchase of regional and organic food more traceable. The CO₂ footprint of each product is mapped transparently, including logistics and transport routes.
Donausäge Rumplmayr relies on RISC IBEX optimization software
In close cooperation with RISC Software GmbH, Donausäge Rumplmayr optimized its processes, from the selection of logs to loading, and is already planning further digitalization projects to ensure the efficient use of this valuable resource.
Sprecher Automation cutting pattern optimization
For Sprecher Automation GmbH, an automatic side goods optimization was developed for the ideal cutting pattern yield for an automatic saw line.
Research project BurnCase 3D
One research focus of the Department of Medical Informatics is medical modeling and simulation, which includes in particular research in the field of objective diagnosis and documentation based on virtual patients (three-dimensional models adapted to real patients).
ITS Upper Austria
The goal of the ITS Upper Austria project is the operation and further development of a real-time traffic situation image for the province of Upper Austria.
Research Project nARvibrain: Improved brain tumour diagnosis and treatment
The nARvibrain project (“Augmented Reality supported Functional Brain Mapping for Navigated Surgery Preparation and Education”) aims to improve brain tumor diagnosis and treatment, increase patients’ awareness and understanding of the disease, and enhance the quality of medical education by combining modern Artificial Intelligence (AI) and eXtended Reality (XR) methods.
Sustainable wood processing thanks to optimization
Together with FILL Gesellschaft m.b.H., RISC Software GmbH developed an optimization solution for the production of glulam beams. The algorithm developed for this purpose calculates the best cut and the optimal arrangement of the boards in the glulam beam in order to use the wood as efficiently as possible.