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HANNOVER MESSE 2018, 23 - 27 April

Digital Twin

Develop Secure Software with Rigorous Systems Engineering

Software Competence Center

Exhibitor details
Logo Digital Twin

Product description

Rigorous Methods in Software Engineering (RSE) supports the use of formal/rigorous methods for the production of correct, reliable software as well as for model-based system development. With their correct usage, rigorous methods complement todays software development methods and enable precise modeling of critical system components that demand security, integrity and reliability. Together with our company partners, RSE is developing new rigorous, model-based methods in order to improve the overall software development process and to depict complex system components. The research area Process Modeling and Analysis additionally defines the interdependencies and processes of system components. Here the major topics are process mining, adaptivity of processes, and executable models, as well as the integration of models into an executable system. n the course of broad-scope discussion about Industry 4.0 (the smart factory), it has become increasingly clear that digitization and thus product & production modeling will be a core component of production in the future. The current status in systems engineering is described in the UML-based OMG/INCOSE standard SysML. However, due to its informal nature and its lack of integration with CAx/PDM, SysML, without enhancements and specializations, is currently poorly suited to meeting the requirements of virtual products and virtual production. SCCH also addresses the requirements for advancing SysML toward a central model platform for systems engineering.

All products offered by this exhibitor

R&D-Project

Augmented Reality in Industry

Welding jobs that are not automated often pose particular challenges in their execution, due to not only the geometry and position of a welding bead to be produced but frequently also the required job steps and precision of execution. For small series production, this means that much more information ...read more

Digital Twin

Rigorous Methods in Software Engineering (RSE) supports the use of formal/rigorous methods for the production of correct, reliable software as well as for model-based system development. With their correct usage, rigorous methods complement todays software development methods and enable precise modeling ...read more

Deep Learning

The SCCH develops image-supported analysis systems for the measurement and evaluation of optical patterns as well as spatial-temporal motion data. Here we typically combine various analysis methods: real-time capable image processing on the level of raw data, deep learning for extraction of semantic ...read more

Rulebook Generator

Wissen aus Software generierenread more

Humans in Industry 4.0

Industry 4.0 (the smart factory) is usually equated with networking and improved flexibility. However, an important focus is the integration of humans in this new work environment. Those tasks where humans continue to be an important factor must be supported by machines. This elevates the importance ...read more

Robust Embedded Visual Sensor Systems

Embedded visual sensor systems need to be literally robust not only because of their application domains. The robustness of the methods and algorithms also plays an important role in an environment with frequent interference, e.g. the noise as seen in the grayscale image on top. Increasingly, smart ...read more

INDYCO

INDYCO (Integrated Dynamic Decision Support System Component for Disaster Management) is a decision support system which can 1) react rapidly and dynamically to changing situations during a disaster and 2) handle new disasters for which no contingency plan exists. The INDYCO system analysed different ...read more

Prozess Mining for Industry

Processes are the heart of an enterprise and describe the interconnections of tasks in day-to-day operations. Modeling, analysis and improvement of these processes has been a research interest for many decades and for some years a focus of research and industrial projects at Software Competence Center ...read more

Predictive Analytics

The term Industry 4.0 (the smart factory) has become a buzzword. Often huge data streams (e.g., machine data, process data, quality data) from diverse, heterogeneous data sources must be linked and analyzed in order to provide a useful basis for decision support and recommended actions for humans. The ...read more

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