Digital Twins are a virtual model designed to accurately reflect a physical object equipped with sensors. These sensors generate data on various aspects of the physical object’s performance (such as energy production, temperature, etc.), which are then relayed to a processing system and applied to the digital copy. It is estimated that 100 to 200 million connected objects will have a digital twin in the coming years.
The term “digital twin” covers different types of tools and developments and different objectives. We can distinguish:
The computations of numerical simulation are incompatible with the notion of real time developed in the concept of the digital twin. To take advantage of the numerical simulation in real time, we use the Model Order Reduction. This technology consists in identifying the sets of parameters that are used in the majority of cases, then running a set of simulations representing the different states of a real system, and finally using the calculation results in reduced models. Thanks to these models, we are able to give answers in real time.
The main actors in the digital twins are :
– Predix Platform, a tool from General Electrics
– Digital Enterprise Suite, from Siemens
– ANSYS Twin bluider
– SAP Digital Twin Software, by SAP
– Seebo digital twin sotfware
– ESI Group
– Dassault System and ABB Alliance
– Flowserve pump : a digital twin of a Flowserve pump, developed by ANSYS, which illustrates the multi-physics system implemented. The objective of this development is to determine, monitor and maintain the optimal temperature at which the motor and its components should operate.
– Professional air conditioners: The manufacturer Rittal designs professional air conditioners with digital twins that continuously monitor temperature, voltage and various indicators to move from preventive to predictive maintenance.
Discover other technical innovations here