COGNITWIN
COGNITWIN will set a new standard for the design, development and operation of the European process industry by introducing a platform for virtual component-based architecture that integrates IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities.
Cognitive Plants through Proactive Self-Learning Hybrid Digital Twins
This program has received funding from the European Union's Horizon 2020 innovation programme under grant agreement number: 870130
Project Manager
Akhilesh Kumar Srivastava, SINTEF Industry
Duration
42 months (09/2019 to 02/2023)
Web site
Funding
~8,6 MEUR
Partners
14 Partners (6 Process Industries, 4 Technology Providers, 4 R&D Partners), 7 Countries
Partners
Main Objectives
COGNITWIN aims to combine cognitive elements to the existing process control systems, thus enabling their capability to autonomously act in advance of the unintentional and unwanted process behaviour.
Generic Techologies
Final Exptected Outcom
The COGNITWIN Toolbox Portal
Keywords
Digital Twins, Hybrid Twins, Cognitive Twins, Digitalization of Process Industries.
Presentation in PowerPoint
