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Overview

Digital Twin

Digital Twin is a virtual representation that matches the physical attributes of a “real world” factory, plant, product or component in real time, with sensors, cameras, and other data collection techniques. In other words, Digital Twin is a live digital model that is used to drive business outcomes. Through Confirm Companies can implement Industrial IoT Digital Twins to enable them  to evaluate production decisions based upon analytics, visualize products performing in their environments or being used by actual people in real-time, thus gaining  control over complex processes and systems-of-systems, and other important manufacturing insights.

Key Research Questions

  1. Evaluate production decisions based upon analytics
  2. Connect separate systems/processes for improved tracking
  3. Troubleshooting equipment in remote locations
  4. Gain control over complex processes and systems-of-systems

Scientific Challenges

  1. Accurate representation and capturing of physical environment
  2. Connect separate systems/processes;
  3. Realtime modelling of complex processes

Targeted Industry Sectors

  1. Med Tech
  2. Pharma
  3. Engineering

Key Industry Impacts

  1. Optimise efficiency by predicting failures and inefficiencies in production in real-time
  2. Develop new products with insights based upon the behaviour of existing products or processes in the real world
  3. Reduced service costs

Key Enabling Technologies

  1. Networking Systems & IOT
  2. Sensors, wireless sensor networks
  3. Robotics & Control
  4. Data Analytics

Business Drivers

Better capture of real time information, and actuation of response, potential for improved Product and Process design, shorter time to market.

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