Project description
Innovative cognitive automation for the European process industry
Digitalisation represents a new challenge for the European process industries, which need to handle an increasingly wide range of actions. Cognition capabilities will permit the sector to improve its flexibility and performance. The EU-funded CAPRI project will establish, test and demonstrate an advanced cognitive automation platform (CAP) for process industry digital transformation. The platform will help the sector increase its flexibility of operations and improve performance through different indicators and cutting-edge quality control of products and intermediate flows. The CAP will be modular and scalable, allowing the development and integration of advanced applications that address manufacturing challenges in significant process sectors such as asphalt, steel-making and pharma.
Objective
European process industries need to address resources, materials and environmental constrains by improving its flexibility and performance through cognition capabilities, as existing in human intelligence. Digitisation is the main enabler for such capabilities.
CAPRI will develop, test and experiment an innovative Cognitive Automation Platform (CAP) for Process Industry Digital Transformation, enabled by cognitive tools that provide existing process industries flexibility of operation, improvement of performance across different indicators (KPIs) and state of the art quality control of its products and intermediate flows.
The CAP encompasses methods and tools for governing six Digital Transformation pathways (6P, Product, Process, Platform, Performance, People, Partnership), a Reference Architecture with four levels of cognitive human-machine interaction (industrial IoT connections, smart events processing, knowledge data models and AI-based decision support), a set of reference implementations, both commercial and open source, for batch, continuous and hybrid process industry plants, and a toolbox of cognitive solutions for planning, operation, control and sensing.
The CAP will be modular and scalable, so that advanced applications could be developed and integrated on top of it and its validation will take place addressing manufacturing challenges in industrial operational environments of three outstanding process sectors: asphalt (minerals), steelmaking, and pharma industry (chemical). CAPRI results could be applied to a wide range of problems and challenges in future cognitive plants. CAP Platform and the cognitive tools included in it can be replicable in areas of production planning, control, automated processes and operations of virtually all SPIRE sectors.
A strong and experienced consortium of 7 EU companies and 6 RTOs will ensure maximum exploitation and replication of the systems developed.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences internet internet of things
- social sciences sociology industrial relations automation
- social sciences economics and business economics production economics
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.5. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
MAIN PROGRAMME
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H2020-EU.2.1.5.3. - Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
IA - Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-NMBP-ST-IND-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
47151 BOECILLO
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.