Digital twin

A digital twin is a virtual representation of real-world objects or systems used for analysis, monitoring, and optimization. This technology allows precise modeling of physical structures, technical systems, and operational workflows. Using real-time data, the digital twin provides valuable insights to optimize resource utilization and reduce energy consumption. Its full potential is realized through the integration of IoT technologies.

The creation of a digital twin relies on the connection of sensors and IoT systems. Sensors continuously capture data on room climate, occupancy, lighting, and energy use, transmitting this data to a centralized digital model. BLE-based mesh networks enable the real-time transmission of all relevant information, making it possible to precisely visualize the current building status. Historical data is integrated to generate forecasts and efficiently plan operational workflows and maintenance activities.

Digital twins enable the monitoring and control of key processes such as heating and cooling systems, lighting management, and security systems. Early detection of faults or inefficient energy use allows targeted optimization before problems arise. Additionally, digital twins support space utilization analyses, such as organizing workspaces or storage areas efficiently while achieving sustainability goals.

Beyond control, digital twins unlock new possibilities for predictive maintenance. Equipment conditions can be monitored in real time to minimize wear on technical components and avoid unplanned downtime. Cloud-based platforms also enable centralized and location-independent management. Real-time data access supports sustainable and efficient building management.

The integration of digital twins with IoT systems creates an intelligent foundation for building optimization. With these solutions, businesses can simulate operations, deploy resources according to demand, and adopt future-proof and sustainable strategies in the long term.