Such a digital twin can also inform the feasibility of adding a new shopping mall or office building, or whether a new highway off-ramp could reduce congestion downtown.įor autonomous vehicles, data from sensors, combined with the car’s speed, stops, starts, and swerves, is applied to a 3D model for a view of what the car is doing at any given time. In the case of city planning, having a bird’s-eye view of traffic patterns, along with accurate-to-the-millisecond data about the changing of traffic and walk signals, can help city planners analyze traffic patterns and determine where to add new signals or change the timing of existing ones.
Ilift twin how to#
Discernable patterns that can’t be seen with traditional analysis can emerge through the use of digital twins, leading to insights on how to improve efficiency. The captured data can also be analyzed further through mathematical models and tools.įrom this example, you can see how digital twins could serve a variety of purposes:ĭigital twins provide information, both numerical and visual, that help designers, architects, engineers, and other stakeholders visualize structures in ways never before possible. Zoom in to see what a specific process is doing, or zoom out to see how it affects the process overall. Now you have an up-to-date representation of the factory, visible on your computer screen or even in VR-a digital twin of the factory.Īt any time, executives and engineers can “see” the factory floor by looking at the digital twin, and can even interact with it.
Ilift twin update#
Next, you set up a software interface to process the live data and update the 3D model in real time. You place sensors in key areas to tell you when changes occur, such as the arrival of a pallet of raw materials or the filling of a container with finished products. Then, in the physical factory itself, you configure the machines and robots to send you live data on their operations, such as the length of time to complete a cycle.
As a first step, you build a 3D model of the factory that includes everything involved in production-machines, robots, raw materials, conveyor belts, forklifts, carts, and even people. Suppose your job calls for you to optimize a factory’s assembly line to see if manufacturing time or costs can be reduced.
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