Projects

Some of our projects in DAS:

Strategic COMET project dasRES

Strategic Research on Industrial Data Analysis Systems

The aim of this strategic project is to provide fundamental methodological building blocks necessary for robust, efficient, comprehensive and interpretable modelling and analysis of data.

COMET project daSEM

Automated (Big) Data Engineering, Processing and Semantic Models

Design and development of computational techniques and tools for deriving implicit knowledge from information by means of automated (big) data engineering.

COMET project proKNOW

Discovery of Knowledge and Structure in Industrial Processes

Development of approaches for automated knowledge extraction and structure learning for novel industrial use cases.

COMET project inFADIA

Industrial Fault Detection, Diagnosis and Prognosis

Detection and isolation (e.g. location and classification) of fault events in large industrial environments.

COMET project moFOCS

Modelling, Prognosis, Forecast and Control of Systems

Prediction and optimization of process and product parameters in the area of industrial manufacturing.

AutoDetect

Automated fault detection, diagnosis and prediction through robust learning algorithms

The aim of the project is to investigate the scientific and technical basis for the detection, diagnosis and prediction of faults in technical systems. In particular, the research of robust learning algorithms will be used to create the basis for a software platform that can be used as generally as possible to analyze the state of technical systems.

Flagship Project IoT4CPS

Trustworthy IoT for CPS

IoT4CPS will develop guidelines, methods and tools to enable safe and secure IoT-based applications for automated driving and for smart production. The project will address safety and security aspects in a holistic approach both along the specific value chains and the product life cycles.

PV-go-Smart

Data Usage in PV Networks: Smart Analyses & Forecasts, their Application Scenarios and Development of Business Models

The weather-dependent fluctuation of PV production is a major challenge for end customers, electricity traders and distribution grid operators who optimize their own consumption. Through the combined use of data from networks of PV systems, weather stations and Sky Cams as well as satellite data, this project will create the basis for new analyses and forecasting methods (e. g. improved PV short term forecasting).

MBS+

Development of a decentralized small-scale storage network to compensate for schedule deviations

The project aims to develop a concept for a decentralised battery storage network in order to be able to use publicly funded solar power storage facilities in households to compensate for deviations from the timetable in balance groups - but also for other grid and system useful applications.

EStore-M

Electricity Storage Management

The aim of this project is to develop an adaptive scheduling controller which integrates user input, weather- and load forecast as well as a robustness against uncertainties. Key is a robust optimisation which will dynamically optimise the scheduling controller according to its inputs.

RePhrase

Refactoring Parallel Heterogeneous Applications

The RePhrase project aims to produce new software engineering tools, techniques and methodologies for developing data-intensive applications in C++, targeting heterogeneous multicore/manycore systems that combine CPUs and GPUs into a coherent parallel platform.

PROSAM

Intelligent Fault Prognosis Systems for Anticipative Maintenance Strategies

The aim of this research project is to create improved prediction models as a basis for anticipatory maintenance strategies by combining knowledge and data-based approaches.

Smart Maintenance

Resource Intelligent Maintenance Strategy for the Production of the Future

The aim of this research project - funded by the FFG - is to create an improved basis for maintenance strategy decisions. Maintenance costs are to be reduced while plant availability is to be further increased.

imPACts

Industrial Methods for Process Analytical Chemistry

In the K-project "imPACts" process-analytical measuring techniques are realized. The generated measured values are then to be used for the optimization of process modelling and are to be transferred to the process control systems for self-sufficient, autonomous control and optimization of the production processes.

ACEPROM

Accurate and Efficient Knowledge Based Profile Matching

The overall goal of the ACEPROM project is to deliver solid, fundamental results that enable accurate matching of applicant profiles and job offer requirements.

insightTourism

Optimization of tourism investment decisions based on valid demand analysis by integrating social media and web data

The objectives of the project are: a) to determine the importance of digital media in the choice of holidays, b) to identify new factors influencing tourist decisions of these channels and c) to identify and evaluate possibilities for the optimized use of these channels to influence tourism professionals in tourist decisions.

INDYCO

Integrated Dynamic Decision Support System Component for Disaster Management Systems

Decision support system for disaster control, which 1) can react quickly and dynamically to changing situations during disaster events and 2) supports new disaster situations.

mpcEnergy

Increased energy efficiency in energy management in buildings through refined process modeling and optimization strategies

Energy management system for small buildings, which optimally controls the interaction between energy producer (e.g. PV) and consumer in order to use the existing energy sources as energy-efficiently as possible.