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COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry

Sailesh Abburu, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanović, Nenad Stojanović

2020100 citationsDOI

Abstract

The concepts of Hybrid and Cognitive Digital Twin are introduced as elements of the next level of process control and automation in the process and manufacturing industry. We propose an architecture for the implementation of Hybrid and Cognitive Twins as part of the COGNITWIN software toolbox. The toolbox is designed to cover cognitive capabilities for optimal operations and maintenance of process equipment and assets, thereby minimizing production overheads and increasing efficiencies for the process industry. Furthermore, we identify a set of relevant use cases in the process industry and discuss the possible applicability and use of the toolbox.

Topics & Concepts

ToolboxComputer scienceProcess (computing)AutomationCognitionSet (abstract data type)ArchitectureSoftware engineeringSoftwareSystems engineeringProcess managementIndustrial engineeringManufacturing engineeringEngineeringOperating systemProgramming languageNeuroscienceVisual artsMechanical engineeringArtBiologyDigital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsManufacturing Process and Optimization
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