COGNITWIN - Cognitive plants through proactive self-learning hybrid digital twins

COGNITWIN - Cognitive plants through proactive self-learning hybrid digital twins

  • COGNITWIN - Cognitive plants through proactive self-learning hybrid digital twins
  • Objective
  • Public reports
  • Publications
  • Dissemination material
  • Consortium
  • News and events
  • COGNITWIN
  • Objective
  • Public reports
  • Publications
  • Dissemination material
  • Consortium
  • News and events
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  • COGNITWIN - Cognitive plants through proactive self-learning hybrid digital twins
  • Public reports

Public reports

List of public reports from COGNITWIN (Updated on 08-Oct-2021):

  • D1.1: A report on existing level of digitalisation and describing challenges for Non-ferrous pilots, incl. identification of novel sensors
  • D2.1: A report on existing level of digitalisation and describing challenges for Steel pilots, incl. identification of novel sensors
  • D3.1: A report on existing level of digitalization, describing challenges for Engineering pilot, incl. identification of novel sensors and collected information for cognitive modelling
  • D4.1: Baseline Platform, Sensor and Data Interoperability Toolbox
  • D4.2: Initial Platform, Sensor and Data Interoperability Toolbox
  • D4.3: Updated Platform, Sensor and Data Interoperability Toolbox
  • D5.1: Baseline Hybrid AI and Cognitive Twin Toolbox
  • D5.2: Initial Hybrid AI and Cognitive Twin Toolbox
  • D5.3: Updated Hybrid AI and Cognitive Twin Toolbox
  • D6.1: T0 baseline measurement of the KPIs
  • D7.1: Website portal
  • D7.2: Dissemination and communication plan and tools
  • D7.3: Intermediate report on dissemination activities
  • D8.1: Data Management Plan
  • D8.2: Short Interim Management Reports
  • D8.3: IA Coordination and Performance Indicators Definition
  • D8.4: IA Coordination and Performance Indicators Measurement
  • D8.5: Risk Assessment and Management Action Plan
  • D8.6: Short Interim Management Report - 2
  • D8.7: Short Interim Management Report-3
  • D8.9: Risk Assessment and Management Action Plan - 2

Link

  • COGNITWIN YouTube channel

Useful links

  • https://cordis.europa.eu/project/rcn/224854/factsheet/en

Contact

  • Contact person: Srivastava, Akhilesh Kumar
  • E-mail:


The COGNITWIN project has received funding from the European Union's Horizon 2020 research and innovation programme under GA No. 870130. The information on this website reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.