What is a digital twin?

A digital twin is a digital representation of a physical object or system that is kept up to date through continuous data collection. In the construction and infrastructure sector, digital twins serve as a dynamic information model, built from 3D data, real-time sensor data, historical measurement data and simulated scenarios. This model can then be used to plan, simulate, monitor and optimize buildings and infrastructure facilities throughout their entire life cycle. 

At Atritec, we see digital twins as a powerful tool in our quest to deliver high-quality measurement services and give you, the customer, full control over your construction and infrastructure projects. Through different types of laser scanning we create detailed point clouds of terrain, buildings and utility networks. This data forms the basis for digital twins with millimeter precision, providing a realistic and up-to-date overview of the physical object. Mobile mapping – collection of geospatial data using mobile sensor units – we use to quickly map roads, railways and urban environments. With machine learning, we create automated workflows to process large amounts of data and continuously update the twin. 

For you, this means that you get a tool to see the exact status of a project or facility in real time. It is possible to detect errors or deviations early by comparing design with actual execution data. With various sensors, the activities of the machines can be linked directly to the digital model. During the operation and maintenance phase, it is possible to monitor the performance of the equipment via the twin, plan preventive maintenance and minimize downtime. 

By combining BIM, mobile mapping, laser scanning and digital twins, we help create an accurate, up-to-date and usable digital representation of the built environment. This mirroring serves as a basis for decision-making, documentation and effective management for both developers, contractors and infrastructure managers. Our technology provides higher precision, better control and the opportunity for smart resource use throughout the entire life cycle of the facility. We see digital twins as a natural step in the development towards more data-driven, safe and sustainable construction.