A concept proposed in 2002 by Michael Grieves, a professor at the University of Michigan, that digitally recreates a real-world twin of goods and equipment. This allows digital twins to be used to improve subsequent models of a product by faithfully simulating defects and failures in a virtual space. Our company is applying the digital twin to the vast expanses of the real world by developing a platform that can be used by anyone, converting static and dynamic phenomena that occur in the real world into digital data.
We are developing a platform called SYMMETRY that can convert static and dynamic events occurring in the real world into digital data and make it available to everyone.
LiDAR, drone, BIM/CIM and GIS data create a digital twin of the real world. Fast processing and visualization by VR, AR, smartphone, PC, and other platforms.
Real-time data from IoT sensors and satellite data are used to update digital twins based on real-world events.
Real-world simulations using digital twins that are updated in real time realize a smart society through automation and optimization of operations.