digital twin

digital twin

A real-time representation of an industrial device. A digital twin is more than just a control panel that monitors a sensor or machine. It is a graphical replica of the specific device as it is performing in real time, and adjustments can be simulated on the twin to determine their effect before they are implemented in the field. See Internet of Things.
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McDermott expects to use the Project Lifecycle Management module from its new digital platform Gemini XD to deliver advanced technology through project execution and the development of a digital twin of the complete system.
The presentation shows how ship data can be combined with survey results and a 3D model of the ship to build a digital twin a digital copy of a vessel, modeled to exactly represent its properties.
This solution will bridge the gaps between the physical network and business goals by creating a digital twin of the network infrastructure.
A digital twin is a digital replica of a material object that includes the real objects physical assets, processes, and systems.
Using this software, Team Penske can create a digital twin of their race cars, which is intended to help engineers to simulate engine configurations, innovate new parts and predict race results in real-time.
Although they covered various industries, Palpallatoc said the aggregations of the technologies-including three-dimensional printing, artificial intelligence (AI), augmented and virtual reality (AR/VR), autonomous robots, autonomous vehicles, big data analytics, blockchain, digital twin, machine learning and mobile computing will provide a major impact to the company's operations.
To do this, GE will build a digital twin, a virtual replica built on the data collected from marine equipment, such as variable frequency drives, propulsion motors, diesel engines and generators.
By creating a digital twin of the solar farm, we ease the detection of early failures of components such as inverters to effectively reduce unplanned downtime, enabling predictive maintenance and ensuring continued operational efficiency.
Here, crucial, race-winning insight can be gained from a digital twin running exactly the same race as the physical car, taking into account factors such as road conditions, weather, and temperature.
He goes on to explain that a digital twin has to always know, in real time, three things about its physical twin (you, the consumer) to remain viable:
Creating a digital twin of the entire value chain--modeling and simulating product design, production planning, production engineering, production execution on digital machine tools, and related services--will create a common data backbone that will go a long way to eliminating mistakes, redundancies and trial-and-error in all these areas when things are actually produced.
The latest release includes new features for computing damage from a schedule or histogram with multiple load cases; stopping and restarting an analysis with incremental load history updates to obtain residual life and virtual damage state for digital twin applications; and pre- and post-processing of fatigue analyses from the MSC/Marc finite element solver.