An IoT-based reliable industrial data services for manufacturing quality control

Raul Poler, Anastasios Karakostas, Stefanos Vrochidis, Angelo Marguglio, Santiago Galvez-Settier, Paulo Figueiras, Ana Gomez-Gonzalez, Benny Mandler, Stefan Wellsandt, Robert Trevino, Shukri Bassoumi, Carlos Agostinho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents a complete solution consisting of sustainable IoT-based Reliable Industrial Data Services (RIDS) able to manage the huge amount of industrial data coming from cost-effective, smart, and small size interconnected factory devices for supporting manufacturing online monitoring and control. The i4Q Framework guarantees data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis and optimisation. With the i4Q RIDS, factories will be able to handle large amounts of data, achieving adequate levels of data accuracy, precision and traceability, using it for analysis and prediction as well as to optimise the process quality and product quality in manufacturing, leading to an integrated approach to zero-defect manufacturing. The i4Q Solutions efficiently collect the raw industrial data using cost-effective instruments and state-of-the-art communication protocols, guaranteeing data accuracy and precision, reliable traceability and time stamped data integrity through distributed ledger technology and provide simulation and optimisation tools for manufacturing line continuous process qualification, quality diagnosis, reconfiguration and certification for ensuring high manufacturing efficiency and optimal manufacturing quality.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665449632
DOIs
Publication statusPublished - 21 Jun 2021
Event2021 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2021 - Cardiff, United Kingdom
Duration: 21 Jun 202123 Jun 2021

Conference

Conference2021 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2021
Country/TerritoryUnited Kingdom
CityCardiff
Period21/06/2123/06/21

Keywords

  • Blockchain
  • Data Quality
  • Data Reliability
  • Digital Twin
  • Process Optimization
  • Process Quality
  • Process Simulation
  • Product Quality
  • Zero-defect Manufacturing

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