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Authors: Cristina Vega ; Daniel Gómez and Aníbal Reñones

Affiliation: Fundación CARTIF, Parque Tecnológico de Boecillo, 205, 47151, Boecillo (Valladolid), Spain

Keyword(s): Process Industry, Automation, Industry 4.0, IIoT, Cognitive Platform, Innovation, Digital Transformation, Industrial Plants, Smart Modules, Smart Industry, Open Data, Open Source, Open Science, Asphalt.

Abstract: The CAPRI project is a H2020 project that develops Cognitive Solutions (CS) to the Process Industry and a Cognitive Automation Platform (CAP) towards the Digital Transformation of process industries. CAPRI enables cognitive tools to provide to the existing process industries flexibility of operation, improving the performance and quality control of its products and flows. The project is developing and testing different CS’s at each automation level, from sensors to planning. The content of this paper is focused on the CAPRI asphalt production applying different CS’s for the sensors and control levels. Specifically the paper discusses a cognitive sensor for measuring filler quantity to the filter at drying process (noted as CAS2) and cognitive control concept applied to optimize the operation of the rotary dryer (noted as CAC1). The paper explains also how the CS’s are being integrated by means of an open source architecture based on FIWARE. The paper provides also open access to the data and algorithms used as part of the commitment of CAPRI with open science. (More)

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Paper citation in several formats:
Vega, C.; Gómez, D. and Reñones, A. (2022). Cognitive Solutions in Process Industry: H2020 CAPRI Project. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - ETCIIM; ISBN 978-989-758-612-5; ISSN 2184-9285, SciTePress, pages 267-278. DOI: 10.5220/0011562000003329

@conference{etciim22,
author={Cristina Vega. and Daniel Gómez. and Aníbal Reñones.},
title={Cognitive Solutions in Process Industry: H2020 CAPRI Project},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - ETCIIM},
year={2022},
pages={267-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011562000003329},
isbn={978-989-758-612-5},
issn={2184-9285},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - ETCIIM
TI - Cognitive Solutions in Process Industry: H2020 CAPRI Project
SN - 978-989-758-612-5
IS - 2184-9285
AU - Vega, C.
AU - Gómez, D.
AU - Reñones, A.
PY - 2022
SP - 267
EP - 278
DO - 10.5220/0011562000003329
PB - SciTePress