Partners

IBERMATICA is one of the main ICT service companies on the Spanish market comprising a leading group in providing innovative solutions to clients and constant search of quality and innovation. The company was founded in 1973 and has successfully evolved into a business with an international reputation for excellence and expertise. Since 2004, the company’s skilled workforce has more than doubled from 1400 to 3000 professionals, distributed around more than 25 offices in different countries, and has a turnover of 230 million Euros.
Ibermatica has a clear commitment to the industry. The enterprise and manufacturing solutions supplied to its clients have offered great balance as regards the incorporated value, risk and price, having fully guaranteed the investment made, and having encouraged an improvement in their processes and continuous adaptation to the market to gain competitiveness.
Ibermatica also has also a unit specialized into bringing to the market solutions based on use of Big Data, Cloud, Cyber security, advanced data analytics. In 2005, as part of this pledge to innovation as a basic competitive advantage in the growth of any business project.
This capability, both technological and knowledge of the industrial sector, has driven Ibermatica to be one of the pioneer companies in Spain within the solutions in the industry 4.0 market

ROLE IN THE PROJECT

IBERMATICA will lead the project , leading also the different tasks of WP8, and the work package itself. From the technical point of view Ibermatica will work with the rest of the Technological partners in the creation of the big data infrastructure to cover the needs of the platform and to provide service to subsequent developments. In Furthermore, with these tools, Ibermatica will lead the WP4 where Co-Decide – level will be developed. This level will be related with the creation of tools for the simulation and optimization of the industrial plants

IDEKO is a non-profit making Research Centre that focuses its activity on Research and Development in industrial manufacturing and production technologies. The main activity covers the identification and analysis of opportunities, the design and development of products, business lines and production processes and the resolution of problems through the provision of technological services such as technical consultancy and equipment based services. The 4 research fields Design & precision engineering, Manufacturing Processes, Dynamics and control and ICT&Automation are the backbone of the Center and make possible to master the technologies and rapidly apply them to products that cover the needs of the companies that it supports. IDEKO has developed by consolidating itself as a benchmark in the field of manufacturing at national level, and in some specific fields at international level. The transfer of technologies resulting from research projects is the key element in our Innovation Management process which closes the R&D&I cycle. The technological capacity of the centre lies in its human assets, as it has a staff of more than 100 highly qualified graduates (29% doctors), who are capable of translating the needs of collaborating companies into technology and leading research projects at a national and European level. To support the research activities, IDEKO has the most up to date facilities and equipment and we are committed to collaborative work through the establishment of a wide range of contacts with leading centres at an international level.

ROLE IN THE PROJECT

IDEKO will be the responsible of the digitisation layer development. IDEKO will also participate on the end users’ requirements definition and their integration.

The Technical University of Munich (TUM) is one of Europe’s top universities. It is committed to excellence in research and teaching, interdisciplinary education and the active promotion of promising young scientists. The university also forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence. Moreover, TUM regularly ranks among the best European universities in international rankings.
In COGNIPLANT project, TUM is represented by the Institute for Machine Tools and Industrial Management (iwb), as well as the Institute of Plant and Process Technology (APT). Both institutes are part of the Faculty of Mechanical Engineering.
The iwb is one of the largest research institutions for production technology in Germany. It comprises two chairs, as well as an application centre for production technology in Augsburg. Both chairs, the Chair for Industrial Management and Assembly Technologies, as well as the Chair for Machine Tools and Manufacturing Technology define the research content and the thematic focuses of the iwb. These lie in the areas of manufacturing technology, machine tools, assembly technologies and robotics, joining and separation technology, as well as in the field of production management and logistics. The institute is managed by the management board, consisting of both Professor Michael Zäh and Professor Gunther Reinhart, as well as numerous experienced assistants.
The Institute of Plant and Process Technology (APT) is headed by Professor Harald Klein who conducts research in the areas of Process Design, Equipment Design Methods, as well as Modelling and Thermodynamic Property Data. One major research focus in the past three years was the scientific investigation of flexible operation of energy intensive production processes like air separation plants. In the near future, these plants, usually designed for steady-state operation, will require more flexible and robust designs in order to operate them economically in the context of fluctuation of energy prices with an increasing portion of renewable energy sources. Hence, dynamic
modelling and simulation, along with the generation of digital twins of chemical plants and components, plays a significant role in the research of APT.

ROLE IN THE PROJECT

TUM will lead the process of defining the COGNIPLANT baseline. Therefore, technical requirements for the use cases ,expert knowledge and key performance indicators (KPI) will be determined along with the design of the solution strategies. TUM will also support the implementation of the project results in the different pilot cases.

Ingeteam is an international group specializing in power and control electronics (inverters, frequency converters, controllers and protections) and electrical engineering and automation projects. Its range of products includes Indar generators, electric motors, and submersible motors & pumps.
The Group completes its products and systems portfolio with operation & maintenance services. Ingeteam develops its products, systems and services for many different sectors: wind, PV, hydro and fossil fuel power generation; metal and mineral processing; mining; marine; rail traction; waters; e-vehicle charging; power grid, always striving towards more sustainable energy generation, transmission, distribution and consumption. The company operates throughout the world, and is permanently based in 22 countries, with a headcount of 3,900.
R&D is the backbone of its business activity, in which 5% of the its turnover is invested annually.

ROLE IN THE PROJECT

In the COGNIPLANT project, Ingeteam will work on the concept of a new IOT embedded device which responds to the paradigms of INDUSTRY 4.0: Edge processing using model-based design, new communication protocols and distributed I/Os which enable data to be acquired in real time and managed strictly in real time & High-performance digital processing based on shared processing between a microprocessor and FPGA.

The task is the production and distribution of grinding tools, abrasive belts and discs for the complete Hermes concern or directly to the end customer. The production process can be described in a twostep model, starting with the maker process where the abrasive material is produced, and the second step to convert this rolls into end products (small rolls, belts, discs, etc.).
The passion is: Abrasives for high-value surfaces and to be for customer the “One-Stop Solution” for Grinding. The main focus markets are Automotive, Gear Grinding, Grinding Bearings, Aerospace, metal and Board industry. More and more often the grinding tasks mentioned above are performed by grinding robots. Hermes has installed a robotic cell in its own technical center in Hamburg specifically for the further development of its product portfolio for automated grinding processes.
As part of our service activities at the Hermes Abrasives Institute, we offer customers practical training and advice on process optimization as well as problem solving on site. Design and brightness are the priority in surface finishing. Different stainless steel surfaces are required by stainless steel finishers depending on applications and requirements. A distinction is made here between polished/grinded and/or brushed finishes. The surface finish of cold and hot-rolled stainless steel sheets, coils and plates is usually applied in service centres, but in some cases directly at steelworks. The surface finish is usually created by dry grinding or by using a coolant additive such as emulsion or oil. Wide belt, long belt and brushing machines are used to achieve an ideal, even surface finish. These can be arranged both individually or as a combined unit (grinding/brushing) in one machine or as consecutive grinding stations with separate individual machines. Due to this technique’s advantages, these days it is difficult to imagine industrial machining without external cylindrical grinding. The external cylindrical grinding process is used for precision-grinding and polishing of redationally symmetrical parts. Its chief area of application extends from the centreless external cylindrical grinding of stainless steel pipes in a continuous process to the external cylindrical grinding between centres of piston rods with subsequent superfinishing, and also covers the external cylindrical grinding of high-alloyed stainless steel wires.

ROLE IN THE PROJECT

Hermes brings one of the four use-cases. By Digitisation of their production plant, they hope to reduce scrapped materials by 50% over the next three years. This will also reduce the energy consumption significantly. HERMES will mainly participate in the definition of requirements in WP1 for the design of the COGNIPLANT solution and in the WP5 demonstrating the COGNIPLANT solution in their facilities, carrying out the commissioning process, and operating the solution during almost two years, providing feedback for its optimisation.

SAVVY Data Systems is an industry driven company, specialized in advanced monitoring and Big Data services, with the aim to technologically push the Industry 4.0 strategy and developments of its customers. It is part of DANOBAT Group machine tool builder. Founded in 2013, with 12 highly qualified engineers with proven experience in the sector, SAVVY has the skills to develop new ICT related technological solutions, with a clear orientation towards the development of a new product-service or function-oriented business model.

The development and progress is founded on a well-established network of industrial partners and research centres, with whom SAVVY works together to constantly exceed state of the art manufacturing technology and ICT technologies for future factories, providing with the necessary knowledge to meet the challenges of machine tool builders and manufacturing companies.

ROLE IN THE PROJECT

SAVVY will set up a real time cloud-based data system platform to gather the information originated from the process plant.

The Software Competence Center Hagenberg (SCCH) is an Austrian research and technology organization, funded in 1999 by several institutes of the Johannes Kepler University, Linz. Its primary focus is on applied research in the fields of data and software science. As a partner for industry and research, SCCH strives toward leadership in the fields of digitalization and artificial intelligence (AI) and especially supports its (industrial) partners on their transition from contemporary (software) systems to AI-based cyber-physical systems.

ROLE IN THE PROJECT

SCCH will be leading “WP3 Co-Analyse – Advanced data analytics” in close collaboration with WP2. Furthermore, will be leading task “T4.3 Reactive scheduling” and contributing to all other work packages by bringing in the expertise of its DAS research area for the development of methods for automatic analysis of (sensor) data for knowledge discovery, model refinement and optimization.