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LieberLieber Software: From Data Streams to Models

After completing its first project with a Christian Doppler Laboratory (CDL) at the end of 2016, LieberLieber is now continuing this commitment. Together they seek ways to transform live data streams directly into models within the framework of industry 4.0.

The team of CDL-MINT: Polina Patsuk-Bösch, Serap Kadam, Petr Novak, Manuel Wimmer, Alexandra Mazak, Radek Šindelár (f.l.t.r.)

After gaining valuable experience in the handling of machine languages found in widespread use in industry applications during an initial cooperation, LieberLieber is making new strides with the new "CDL for Model-Integrated Intelligent Production" (CDL-MINT). "In industry 4.0 scenarios, huge amounts of data are constantly being collected and then subsequently evaluated and implemented for the further optimization of production processes. As an industrial partner, LieberLieber has a great deal of experience in dealing with such data streams and so we are now jointly taking the step of generating models from this continuously-occurring data," explains Prof. Manuel Wimmer from the Business Informatics Group at the Institute for Software Engineering and Interactive Systems at TU Wien, who also manages the new CD lab. Peter Lieber, founder and owner of LieberLieber: "In our customer projects, such as at Vattenfall, RWE, Bosch, BMW and VW, we see on a daily basis how projects in software and systems development are becoming increasingly complex and data-intensive. This is also a major challenge for powerful modeling platforms such as Enterprise Architect, which we now want to solve together. Model-based development is therefore increasingly at the center of industry 4.0 solutions since it helps to handle the complexity and manage the flow of data in an ordered fashion."

CDL-MINT was established with the support of the Federal Ministry for Science, Research and Business (BMWFW) as well as the two industrial partners CertiCon and LieberLieber, and opened on May 22nd, 2017.

Data, languages and storage

As in the first CDL project, the handling of special machine languages - this time in connection with the operational data - is an important part of the development work. "Since this project is the first time that a reactive model has been generated from the live data streams, the models must understand the languages in which these data are transmitted. If we can do this, then the deployment possibilities of Sparx Systems Enterprise Architect would expand considerably," Wimmer explains. In this case, the models could be used to monitor the systems, to understand complex system behavior or to validate model assumptions through empirical data.

Industry 4.0 scenarios are based on the comprehensive exchange of information between all suppliers, customers and manufacturers involved in the production process. Model-based system development solves the challenge of the resulting data streams by using a central model memory. However, the relational database used by Sparx Systems Enterprise Architect encounters its limits with increasing amounts of data. "For a while now, we have been dealing with the issue of how to achieve more efficient storage and retrieval of large volumes of model data. In this collaboration we wish to further extend our know-how and also develop other database concepts, such as NoSQL and graphical or card-based databases," says Lieber. The question of optimized loading and buffering mechanisms for very large models is also addressed.

LieberLieber believes that Sparx Systems has made the next step of becoming the scalable modelling plattform through its engagement in Pro Cloud technology and LieberLieber is keen to colloborate with Sparx Systems on this topic.

Advancements built on solid experience

LieberLieber has already gained extensive experience in the industry 4.0 environment through its "Embedded Engineer" tool. The resulting technologies are a great starting point for the desired model-based monitoring and data collection. "The collaboration with CDL-MINT is based on our experience and will test concepts, technologies and platforms in order to enhance our know-how in industry 4.0 projects. We are deliberately pursuing high goals in order to show everyone that model-based software and systems development is an excellent approach for the rapid implementation of industrial 4.0 projects," concludes Lieber.

 

Peter Lieber at the CDL-MINT opening speech (May 22nd, 2017)

 

https://cdl-mint.big.tuwien.ac.at/

TU Wien press release: https://www.tuwien.ac.at/aktuelles/news_detail/article/124989/

About Christian Doppler Laboratories
Christian Doppler Laboratories carry out high-level application-oriented basic research, and is an environment wherein outstanding scientists cooperate with innovative companies. Its excellence in promoting such cooperation has placed the Christian Doppler Research Association in high international regard as a best-practice example. Christian Doppler laboratories are financed jointly by the public authorities and the participating companies. The most important public funding agency is the Federal Ministry of Science, Research and Business (BMWFW).

 

 

About LieberLieber Software

LieberLieber Software  is headquartered in Vienna, Austria, with offices in Germany, Slovakia and the USA. LieberLieber operates within a variety of industries in the field of model-based software engineering, offering specialized products and services to users of Sparx Systems Enterprise Architect and other well-known UML/SysML software modeling tools.

LieberLieber represents a single source of competence for model-based software development and systems engineering, with years of experience in consulting, scope analysis, creation of individualized solutions, tool chain integration, specialized training and high-level support.

LieberLieber is also well-known for its innovation and advances in the software engineering domain. LieberLieber Embedded Engineer for Enterprise Architect combines automated source-code generation with debugging on the model level and is a veritable revolution in software development. LieberLieber LemonTree is a fresh new model diff & merge tool that boosts productivity in the working environments of distributed development teams while supporting adherence to industry and regulatory standards.

LieberLieber cooperates closely with renowned research institutions and universities to research and create model-based software solutions of the future.

 

Get more information at www.lieberlieber.com

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