Improving edge computing using the power of digital twin technology

Key points

    Combining digital twin with edge computing

    Leveraging both technologies for work safety

    Enabling cognition for edge computing via digital twin

By Carlos Miskinis
Digital twin research expert
Dec 2018

Two of the most promising technologies such as edge computing will help bring life and awareness to our devices.


E-tools and gadgets can potentially be combined to create a future we have never experienced before. A future, where computers can be programmed to optimize our future. When people first hear this concept, they anthropomorphize edge computing and virtual twin powered devices which causes them to have negative connotations about the concept itself. However, nothing could be further from the truth as edge computing has the power to minimize risk in real-time. Digital twins have the potential to accurately estimate future events which is a great combo in business and in the day-to-day lives of ordinary people. In today’s article, we are going to discuss how edge computing and virtual simulations can be combined and what kind of potential benefits can be extracted from the combination of these two emerging technologies. Although we could cover hundreds of possible outcomes, we will only be covering the most impactful and realistic benefits these two digital forces can bring.



Using edge computing and digital twin in the automotive industry


The automotive industry has experienced tremendous change during the past decade with the drastic rise of electric cars being immersed into the population. Although electric cars have a long way to go from being manually driven by people to becoming self-driven bots, edge computing and simulations can help bridge the gap in order to make self-driving cars into reality. How you might ask? Well, first we need to explain how edge computing works.


Contrary to cloud-based computing which is a data transformation method that helps store information remotely, edge computing transfers data way faster because the data storage unit is installed locally, allowing the fast transfer of data. This means, that by using this technology, cars could make decisions way faster (e.g. make a decision to break, start driving, make turns etc.) compared to cloud-based vehicles. Combining this with digital twin technology and its potential to simulate future reality, an ever-expanding consciousness field can be developed by the technology to help our vehicles navigate terrain and avoid collision by scanning potential roadblocks (e.g. other vehicles, humans crossing a road etc.) and using edge computing to make a decision to stop, slow down or outmanoeuvre.


The automotive industry is a special one when it comes to virtual twin. The technology holds a lot of potential to capitalize on. Therefore, we are hosting a conference on enhancing digital twin computing for it to help manufacturers reduce development costs, improve efficiency and skyrocket sustainability in the automotive industry.


image explaining what edge computing is

Part 2

Using digital twin and edge computing to minimize workplace injuries

Both technologies combined will create progressively safer and more secure work environments

Creating injury-free and risk-free work environments using these technologies


The constant problem of injuries during work can be in the past if edge computing technology will be integrated with online platform based simulations. By successfully incorporating digital twin technology into workspace environments and developing fully built digital replicas of offices and buildings, the environment could be monitored in real-time if the technology is paired with edge computing. This means that potential risks and hazards that pose a danger in workplaces can be prevented before they happen.


here is a picture of how edge computing works and how digital twin will improve it



Using digital twins to optimize edge computing


Although digital twin technology is specifically meant for simulating future experiences, calculating context and developing a chain of outcomes, it can also help edge computing optimize its algorithm in real-time, creating a progressively safer environment every single moment. For instance, if a self-driven vehicle encounters drastic weather changes, newly generated traffic jams or changes in course, having a developed digital twin of the terrain and the vehicle can help computing technologies predict what changes it needs to execute and make the journey safe and successful.


The potential to drastically enhance Edge Computing with virtual technologies is right around the corner. If you would like to join the disruption, find out if you are qualified to join us at our private mastermind event – please visit the page by clicking here.

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