Digital Twin - are we really ready?
04 February 2020

The term Digital Twin gets thrown around a lot, but do you truly know what it is, how it could be used in your industry, and if the technology is at a point where you should consider planning its implementation?

The term Digital Twin gets thrown around a lot, but do you truly know what it is, how it could be used in your industry, and if the technology is at a point where you should consider planning its implementation?

VROC recently hosted an industry breakfast where we chatted all things Industry 4.0, in particular IoT, robotics and digital twinning. Chris Nelson, from Data 61 explained digital twin as ‘a digital representation of an asset with live and static data attached to it, which allows you to monitor, plan and simulate’.

What once was a technology isolated to manufacturing – think car and plane simulation, digital twin technology is now having applications in factories, cities, refineries and increasingly through the power of connected IoT sensors, AI and machine learning we’ll see it’s application to processes and operations on the whole.

 

What is a digital twin and how does it work?

Digital twins are created by data scientists and mathematicians utilising IoT sensors, such as drones, handheld and fixed sensors as well as historical data, to create a digital model of a physical object.  The digital twin then can be used for simulating modifications, maintenance and refinements, providing valuable insights before the physical asset is modified.
 

Digital Twin Uptake

For the last few years digital twin has been touted as a hot new technology to keep your eye on, Gartner listed it in their top 10 Strategic Technology Trends for 2017 and 2018 and Forbes has listed it as one of the 5 Biggest Technology Trends disrupting Engineering and Design in 2020.

But just how accessible is the technology?
The requirements to develop in-house are complex and so the technology has mostly been embraced by Tier 1 manufacturing companies, with few commercialised tech start-ups on the market for oil and gas or mining sectors.  In fact most companies we have spoken to say their expectations of a digital twin cannot yet be realised as they hope for a complex model of an entire enterprise as opposed to an individual asset. This would then enable simulations that would provide valuable insights for end to end systems. 

Gartner’s hype cycle for Emerging Technologies 2018 (pictured below) the expected plateau of productivity for Digital Twin isn’t until 2023 – 2028.

 


 







The future of Digital Twin

Fast forward to 2028 and the whole of enterprise digital model that industry needs will be closer than ever before, if not already in use.  This will be made possible through the digital transformation and culture shift that is happening in the Oil and Gas and Mining industries right now.

By embracing IoT technology, machine learning and predictive analytics businesses are starting to put their data to use, gaining insights they never before had access to, which is enabling them to make better, safer decisions. This giant leap from legacy processes will pave the way for the enterprise wide solutions that are to come and the digital twin is just one of them.
 

 




 
Ref: https://www.networkworld.com/article/3280225/what-is-digital-twin-technology-and-why-it-matters.html
https://blogs.dnvgl.com/software/2019/08/the-digital-twin-in-oil-and-gas-how-far-have-we-come/

 

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