Digital twin is a special type of modern computer model that reproduces an existing building object and simulates the readings of automated leveling sensors (and other instrumentation) installed on it.

Instead of idealized project data, the digital twin takes into account actual (field) data determined from monitoring results. For this, reverse calculations and machine learning of the mathematical model are used based on the readings of the automated leveling sensors.

The digital twin becomes a robotic expert who checks the incoming monitoring results in real time and is able to detect signs of destabilization of the technical state of the facility long before it can be detected by traditional methods (Learn more about creating and using digital twins).