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.
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