Big Data tools for data brokering, processing and analysis

This research is part of the RFCS programme and is aligned with the Industry 4.0 approach, which aims to improve the production processes by deploying Big Data architecture and tools for data brokering, processing and analysis.


Engineering of complex IT systems 

Domaine: Manufacturing 

Asset: FADI 



The constantly growing requirements on European steel production for product quality and process efficiency are accompanied by the challenge of handling the increasingly growing information collection from the production processes that defines the products.
This creates many possibilities, but also the need for new methods to observe and control the production processes and to determine and to forecast the properties of intermediate and final products. These new technologies have to exploit comprehensively the constantly growing information that is collected at the steel plants.
This project will focus on finding sulutions on theses challenges by examining dedicated use cases in steel production factories, which are representing actual problems and tasks in modern steel production.


The consortium will develop and implement methodologies, which will meet the requirements of examined steel processes on the one hand, as well as exploit all technological and scientific possibilities offered by latest technologies concerning data handling and data analysis on the other hand.
To reflect the variety in steel production, the selected industrial use cases cover different processing routes and various final products like flat steel, tube and wire production.
Thereby the project findings will be applied and tested under industrial conditions to adjust them to the needs of the European steel industry. The participating non-steel partners like research organisations and information systems suppliers for steel industry guarantee the exploitation of latest available methodologies and technologies.
The final aims of this project are

  • the developed and applied methods for an improved process observation and control as well as extended tools to assess and forecast (intermediate) product quality as examples for the successful application of new technologies,
  • to provide evidence of the applicability and efficiency of such methods, and
  • to make proposals and uncover possibilities of developed new methods outside the investigated use cases to state their benefits for the complete European steel sector.

Added Value

The main benefits stemming from NewTech4Steel is the improvement and optimisaton of big data architecture and framework tailored to the industrial sector that is being developed by CETIC and partners of the project. The framwork and infrastructure will be further improved by the feedback of industrial partners. Feedback will be provided both when the framework is deployed in test environments, but also as pilot deployments running in real manufacturing conditions at the steel factories of the industrial partners of the project. The latter will provide real insights of the framework’s effectivenes in real conditions.

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