Digital Twin Solutions
Improve decision-making processes in your company with digital twin solutions. Identify errors and prevent them in the future. Use simulations to test your new business ideas.
Digital Twin – what is it really about?
Digital twin technology is computer software that enables running simulations on how a particular system or object will be affected by different factors.
Inputs: real-world data describing a physical object or system.
Outputs: forecasts and simulations of how each of the inputs will affect a physical object or system.
How exactly does it work?
- Team of data scientists develops a mathematical model that simulates the real-world features of system/object in digital space.
- The constructed twin is able to receive input from sensors that are gathering data. The digital twin can simulate the physical object in real-time, measure the performance, and determine potential problems.
- Digital twin solution can be used both in huge and complex problems as well as simple applications. How precise the simulation will depend on the amount of data (inputs) you apply.
Addepto Digital Twin Solution – CASE STUDY
We helped a company operating in aerospace. Information about everything that happened at an airport was mostly available at more advanced control centers.
However, because the various elements were collected and presented independently, it was difficult to see the overall picture, and how all the elements interact.
Moreover, it was hard to generate a historical view to observe how an airport previously handled disruption caused by for example bad weather.
By implementing advanced data engineering and artificial intelligence techniques, Addepto created an operation control interface using digital twins to collect everything that happens.
The use of computer vision and predictive modeling technology covers arriving and departing airplanes, the number of passengers involved, waiting times, escalator operations, passenger satisfaction with restrooms, traffic flows at drop-off and pick-up, and much more.
As a result, we have improved the decision-making process based on the overall picture of airport operations.
In addition to showing what is happening now, we can also choose a moment in history and replay exactly what happened in the past.
This is a very effective way to investigate how the disruption as handled, as well as to determine what can be done better next time.
Other Digital Twin Applications
Discover business digital twin applications in different sectors.
Digital twin solutions are widely used in manufacturing, which is arguably the sector with the most advanced digital twin applications.
For years, factories have been using digital twin technology to simulate production processes and predict possible errors.
This saved the industry a great deal of time and money that would otherwise have been wasted by producing defective machines.
Digital twin solutions are used in healthcare to ensure patient well-being.
Specially designed algorithms analyze information about the patient’s health, monitor its changes in real-time, and predict the results of possible treatments.
Digital twin applications use telemetry sensors to simulate various scenarios.
With the development of autonomous vehicles, the importance of digital twin technologies will increase in the automotive industry.
Computer Vision – the perfect partner for digital twins solutions.
More and more data is now stored in the form of graphics and videos. For a long time, computers could not process this type of data.
Computer vision technology changed that. It enables computers to understand what an image represents, analyze it, and draw accurate conclusions.
Computer vision revolutionizes most industries and increases security.
Find out more about computer vision solutions.
“There are lots of benefits to Digital Twin, but the biggest one is that we’re seen reduced defects downstream.”Julie DeMeester
Digital Twin can change the way engineering is done in the design, construction, and operation of the product and system lifecycle stages.
The digital twin must be able to reason with cognitive sensing and cognitive computation based on “augmented intelligence” and the digital thread that passes through it.
The technology industry and the industries it serves are largely and rapidly transitioning to completely different ways of doing business.
The digital twin of the systems will enable engineering teams and organizations to significantly improve decision making.
“Are you ready to reinvent the world?”Chris O’Connor