Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)

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More info: https://cordis.europa.eu/project/id/958205
Budget
11 442 342 €
Partners
24
The EU-funded i4Q project will develop a Reliable Industrial Data Services (RIDS) solution based on the Internet of things (IoT). This is a complete suite based on 22 i4Q solutions that can manage a large amount of industrial data.

i4Q Project aims to provide an IoT-based Reliable Industrial Data Services (RIDS), a complete suite consisting of 22 i4Q Solutions, able to manage the huge amount of industrial data coming from cheap cost-effective, smart, and small size interconnected factory devices for supporting manufacturing online monitoring and control. The i4Q Framework will guarantee data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis and optimization. i4Q RIDS will include simulation and optimization tools for manufacturing line continuous process qualification, quality diagnosis, reconfiguration and certification for ensuring high manufacturing efficiency, leading to an integrated approach to zero-defect manufacturing.

Support and enhance the reliability of industrial data

The amount of industrial data coming from smart small-size and cost-effective interconnected factory devices is huge. The challenge now is how to guarantee data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis and optimisation. The EU-funded i4Q project will develop a Reliable Industrial Data Services (RIDS) solution based on the Internet of things (IoT). This is a complete suite based on 22 i4Q solutions that can manage a large amount of industrial data. For instance, the i4Q RIDS will include simulation and optimisation tools for manufacturing line-continuous process qualification, quality diagnosis, reconfiguration and certification for ensuring high manufacturing efficiency, leading to an integrated approach to zero-defect manufacturing.