Project description
Advanced technologies for smart industries
Industry is the backbone of the European economy. Enabling technologies like artificial intelligence (AI) and digital twins (DT) are powering remarkable growth potential and driving the next generation of industry. Using these technologies, the EU-funded OPTIMAI project will strive to strike an optimal balance between fast, cheap and reliable production choices that have a big impact on the competitiveness of an industry. To this end, the project will develop smart instrumentation of production with AI-enabled sensors for quality inspection and monitoring. Using AI models, collected data will be analysed for the early detection of defects, the identification of upstream deficiencies and the reconfiguration of production parameters. To optimise production planning, the project will virtualise production using digital twins of processes and sensors.
Objective
"There is a common saying in industry, and more generally in engineering ""fast, cheap, reliable, choose two out of three"". This saying captures the trade-off between resources, production time, quality and performance that are inherent in every manufacturing process. Conceptually, different points on this ""Paretto front"" correspond to different production choices and directly affect the competitiveness of an industry. OPTIMAI aims to redefine and optimize this Pareto front through integrating several enabling technologies in a common framework.
The starting point for OPTIMAI is the smart instrumentation of production with AI-enabled sensors for quality inspection and monitoring, integrated on a secure middleware layer. To ensure data integrity and traceability, OPTIMAI foresees distributed ledger technology combined with a cyber-security module. Collected data are analysed using AI models for the early detection of defects and upstream causes of deficiencies. OPTIMAI also explores the virtualization of production using digital twins of processes and sensors that combined with AI models trained on production data, form a simulation engine for exploring production scenarios and optimizing production planning. Another innovative point is the rapid reconfiguration of production equipment via automated feedback from quality control results or via a context aware Augmented Reality ecosystem for fast and informed decision making.
At the same time OPTIMAI put emphasis on establishing a comprehensive ethics and regulatory framework for the deployment of its technology realizing that a production line is a workplace and as such concerns related to privacy, protection of human rights and safety have to be carefully addressed before any kind of technology is adopted. OPTIMAI foresees an extended pilot phase on three industrial sites covering a representative sample of European industry in order to maximize its impact and facilitate commercial uptake."
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.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencescomputer security
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Keywords
Programme(s)
Call for proposal
(opens in new window) H2020-NMBP-TR-IND-2018-2020
See other projects for this callSub call
H2020-NMBP-TR-IND-2020-singlestage
Funding Scheme
IA - Innovation actionCoordinator
57 001 THERMI THESSALONIKI
Greece