Tributech joins InterQ to empower integrated quality management in zero defect manufacturing

by | Mar 2, 2021 | News

The InterQ European project seeks to develop a digital platform for the generation and integrated management of data with the aim of ensuring the quality of products and processes under the zero-defect manufacturing paradigm. The initiative seeks to construct a new generation of digital twins and to use artificial intelligence sensors and algorithms to increase the efficiency of key sectors such as aeronautics, energy and automotive. Led by the IDEKO research centre, 25 partners from 11 European countries are taking part in the project.

Achieving full control of the quality of industrial manufacturing processes and equipment, moving towards zero defect manufacturing, is a key challenge in strategic economic sectors, such as aeronautics, energy and automotive.

The InterQ European project, led by the Basque research centre IDEKO, is focused on the development of a digital platform for the generation and integrated management of data emanating from the equipment, which allows product and process quality to be ensured with the aim of optimizing the zero-defect manufacturing paradigm.

Currently, thanks to digital means, a large volume of data is generated and stored, but without adequate processing and management technologies, it is not possible to produce accurate, reliable, secure and relevant information to optimize efficiency and quality of industrial processes.

“The InterQ platform seeks a response to this problem. It is a solution focused on data processing for the optimization of zero-defect manufacturing processes, so that quality can be traced along the entire value chain” said the coordinator of the initiative, Jokin Muñoa.

A platform made up of five modules for zero-defect manufacturing

The platform will be divided into five modules that will enable integrated quality management. InterQ-Process is the first of these and will be focused on monitoring the quality of the manufacturing processes. Next is InterQ-Product, which will control product quality. InterQ-Data will be in charge of evaluating the quality of the controlled data. The fourth is InterQ-ZeroDefect, whose purpose will be to improve manufacturing quality through the application of artificial intelligence fed with reliable and relevant data. Finally, InterQ-TrustedFramework will ensure full traceability of the product aimed at different parts of the value chain through the application of distributed ledger technology.

Within the InterQ-Process module, the solution will be capable of measuring, predicting and controlling the quality of the manufacturing process through the development of a new generation of virtual sensors and digital twins. Relevant data will be obtained from the process by means of a new generation of components capable of measuring very close to the cutting point and virtual sensors that allow these magnitudes to be predicted by means of Artificial Intelligence and Machine Learning.

The project promotes the application of the latest artificial vision and optical and magnetic sensor techniques for the measurement of topography surface quality and the surface integrity of the workpiece within the InterQ-Product module. The development of digital twins for final product quality prediction will complement these systems.

An opportunity to increase the efficiency of the value chain

In a context of high uncertainty, InterQ will contribute to driving the competitiveness of the European industrial environment through the incorporation of the possibilities that digital technologies and artificial intelligence offer.

The project, which started in November of 2020 and will go on to 2023, has a consortium of 25 partners from 11 European countries that will focus on strategic economic sectors, such as aeronautics, energy and automotive. Top companies such as Renault, Gamesa Energy Transmission and ITP can be found among these partners.

The initiative has a budget of €11 million, 9 of which will be financed by the EU through the Horizon 2020 research and innovation programm.

Tributech will contribute its Data Asset Management technology providing trustworthiness and traceability of data across systems and companies and the selective data sharing aspect. Within the project, Tributech, Inlecom Systems and Engineering collaborate to enable trustworthy data from source to consumer as part of the InterQ Trust framework. By creating a blockchain and identity solution the framework is able to provide auditable quality hallmarks of sensor and process data along the value chain.

“For the participating machine manufacturers, this project represents a great opportunity both for the digital development of machines and processes through the search for full control of the quality of the final part” concluded Muñoa.

Working on a data service, new business model or IoT platform? Contact us for a first discussion as it might be at risk.

Tampered IoT Data – The “fake news” of the Industrial IoT

The rising amount of collected IoT data, the trend towards data-based decision-making and new data services increase the risk of being vulnerable to manipulation. Therefore, companies should implement countermeasures to prevent IoT data form being tampered and build their data services and IoT platform on a trustable foundation.

Covid-19: Behind the mask

Nothing new came forth but it would have enhanced prior knowledge if considered before.
A few weeks after the outbreak of the covid-19 pandemic, it makes sense to draw a first conclusion of what we’ve seen and heard from industry players and we tried to summarize some of our core findings.

Alexander Sztatecsny – new COO of Tributech

Alexander Sztatecsny, who has been working in different areas of Digitalization across the value chain for most of his business life, has recently joined the team of Tributech as COO and Managing Partner and will work with the team to elevate the business to the next level.