A digital twin is a virtual representation of a physical object that can be used to help optimize business decisions. The webinar discusses the history and definition of digital twins, how they are enabled by technologies like IoT, and how companies are using them. Digital twins allow a physical object and its virtual counterpart to be connected, providing a closed loop between the simulated and physical worlds to improve conceptualization, comparison, and remote collaboration.
2. Webinar Agenda
▪ Digital twin definition
▪ The driving technology behind Digital twin
▪ Companies behind realizing this concept
▪ Open source contribution to the digital twin pattern
4. Historical background
▪ NASA initial pioneered the idea of digital twin
▪ The concept formulated in University of Michigan 2003 By Dr.
Michael Grieves Specialist in Life cycle management & JohnVickers
of Nasa
▪ The adoption of this model in industries till 2014
▪ Introducing cognitive & AI starting form 2015 by IBM, Microsoft and
industry leaders
▪ 2017 and going on introduce immersive digital twin experience with
Augmented reality
5. Information Mirroring Model
▪ Physical products (Real space)
▪ Virtual products(Virtual Space)
▪ The connection
– Data
– Information
6. The current situation
▪ The product modeled in 3D and numerically simulated
▪ Generate the bill of material and deliver this model to manufacturer
▪ The manufacturer convert this 3D models in many cases to 2D blue
prints
▪ The digital and simulated product no longer used
▪ The actual link between simulated digital model and physical
fabricated device was not there
7. The Aim of Digital twin
▪ Close the loop between
physical and digital world
▪ Build a unified repository that
link two product together
▪ Build a closed loop feedback
between simulated model and
physical product after
manufacturing
8. Digital Twin Model Use cases
▪ Conceptualization
▪ Comparison
▪ Collaboration
9. Conceptualization
▪ Current situation
– Human take visual information
– Reduce it to symbols of numbers and letters
– Re-conceptualize it visually
▪ Draw back of this
– Loose great deal of information
– Inefficient time
▪ Using digital twin directly provide the conceptualize visual look for
the current situation
10. Comparison
▪ Current situation
– Virtual product information
– Physical product information
– Find out the correspondence and work out the difference
▪ Using digital twin will directly provide the difference in term of colors
for example green no difference between virtual prediction and
physical, red there is difference that need corrective action
11. Collaboration
▪ Current situation
– A fault detected in machine or in product line
– Machine physically inspected
– Identify the error and perform calibration
▪ Draw backs
– The accident already occurred
– Might require access to technical expert in different Geo
– Limited to the machines assessed in physical location for example consumer car
should be inspected in maintenance center
▪ Digital twin: Physical device report its state real-time, experts has
digital representation to it, expert could perform the tuning and
calibration remotely
12. Motivation behind Digital twin
▪ Better connectivity (Devices, bandwidth, cloud, ….)
▪ Artificial intelligence & Cognitive in business domain
▪ Big data and analytics
▪ And Finally Internet of things
13. The Role of IoT in Digital Twin
▪ Internet of things is one piece puzzle in the piece of digital twin
concepts envisioned by NASA to be adopted in industrial Enterprise
and consumer product, by making the two way commination
between the physical product and its digital realization by events and
commands
▪ Events
– A physical device data sent to Digital platform
▪ Commands
– The outcome of analytics, human interaction on virtual world, translated into
command to the Physical device
15. Digital twin sample architecture diagram
by IBM
https://www.ibm.com/blogs/bluemix/2017/06/smartfactorykl-industrie-40-
reference-architecture-example/
