i4Q | Industrial Data Services for Quality Control in Smart Manufacturing

Summary

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.

The i4Q RIDS will be demonstrated in 6 Uses Cases from relevant industrial sectors and representing two different levels of the manufacturing process: machine tool providers and production companies. i4Q pan-European consortium entails Industrial partners: WHIRLPOOL (White goods manufacturer), BIESSE (Wood industrial equipment), FACTOR (Metal machining), RIASTONE (Ceramic pressing), FARPLAS (Plastic injection) and FIDIA (Metal industrial equipment); Implementers: TIAG (Industrial Communication Protocols and Standards), CESI (Machine tools, Advanced Materials, Micro-technology) and AIMPLAS (Thermoplastic and thermosetting plastic materials); Technology Providers: IBM (Information Technologies Company), ENGINEERING (Software and Services Company), ITI (Information Technologies Institute), KNOWLEDGEBIZ (Information Systems Company), EXOS (Operations Consulting Company); R&D partners: CERTH (Research Institute), IKERLAN (Technological Centre), BIBA (Research Institute), UPV (University), TUBERLIN (University), UNINOVA (Research Institute); Specialist partners: FUNDINGBOX (Exploitation), INTEROP-VLAB (Dissemination), DIN (Standardisation), LIF (Legal).

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Attached files (3)
File Type
Flyer i4Q SOLUTIONS.pdf PDF
Industrial Data Services for QualityControl in Smart Manufacturing (1).pdf PDF
Tri-fold i4Q.pdf PDF
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/958205
https://www.i4q-project.eu/
https://www.youtube.com/@I4Q-project/videos
Start date: 01-01-2021
End date: 31-05-2024
Total budget - Public funding: 11 442 342,00 Euro - 9 997 485,00 Euro
Twitter: @I4qProject
Cordis data

Original description

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.
The i4Q RIDS will be demonstrated in 6 Uses Cases from relevant industrial sectors and representing two different levels of the manufacturing process: machine tool providers and production companies. i4Q pan-European consortium entails Industrial partners: WHIRLPOOL (White goods manufacturer), BIESSE (Wood industrial equipment), FACTOR (Metal machining), RIASTONE (Ceramic pressing), FARPLAS (Plastic injection) and FIDIA (Metal industrial equipment); Implementers: TIAG (Industrial Communication Protocols and Standards), CESI (Machine tools, Advanced Materials, Micro-technology) and AIMPLAS (Thermoplastic and thermosetting plastic materials); Technology Providers: IBM (Information Technologies Company), ENGINEERING (Software and Services Company), ITI (Information Technologies Institute), KNOWLEDGEBIZ (Information Systems Company), EXOS (Operations Consulting Company); R&D partners: CERTH (Research Institute), IKERLAN (Technological Centre), BIBA (Research Institute), UPV (University), TUBERLIN (University), UNINOVA (Research Institute); Specialist partners: FUNDINGBOX (Exploitation), INTEROP-VLAB (Dissemination), DIN (Standardisation), LIF (Legal).

Status

SIGNED

Call topic

DT-FOF-11-2020

Update Date

27-10-2022
Images
i4Q logo W.png
i4Q logo.png
Geographical location(s)
Structured mapping
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Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FoF-2020
DT-FOF-11-2020 Quality control in smart manufacturing (IA)
Innovation Action (IA)

Project clusters are groups of projects that cooperate by organising events, generating joint papers, etc...

Zero-defect project cluster
Contribution of project to standardisation
MiE_25-27_RP02: Excellent productive and flexible Manufacturing automation for open strategic autonomy
MiE_25-27_RP08: Quick response service deployment for maintaining optimal manufacturing operations using trusted AI and digital twins
MiE_25-27_RP09: Life-cycle management of manufacturing solutions and associated services for flexible, productive and sustainable manufacturing industry
MiE_25-27_RP10: Data spaces and cloud/edge solutions for responsive and robust manufacturing
MiE_25-27_RP11: Digitally enabled compliance and integration of innovative manufacturing solutions
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.2.1.5.1. Technologies for Factories of the Future
H2020-NMBP-TR-IND-2020-singlestage
DT-FOF-11-2020 Quality control in smart manufacturing (IA)