Proposal for a Digital Twins concept in Smart Home

Abstract

The diploma thesis deals with the design and implementation of a Digital Twin concept for a smart home system based on KNX building automation. The main aim is to establish a reliable real-time connection between the physical installation and its virtual representation using LabVIEW, where communication is provided through a SpaceLynk controller via the Modbus/TCP protocol. The practical part of the work is divided into two stages. In the first stage, the Digital Twin is commissioned and verified on the EB312 KNX training panel, where basic functions such as lighting, blinds, and environmental monitoring are configured and tested. In the second stage, the solution is extended to the CPIT TL3 laboratory, where real-time monitoring of electrical current and energy consumption is performed. The developed system includes a floor-based graphical interface that allows clear visualization of rooms and devices and enables intuitive interaction with the system. Continuous acquisition and logging of measured data are implemented, representing typical data handling in intelligent building environments. In addition, a simple approach is used to estimate current behavior, and an anomaly detection method is applied to identify deviations from normal operation. The results are evaluated to confirm the correct functionality of the Digital Twin and to analyze system performance under real-time conditions, and the study also discusses how the proposed solution can support more efficient operation and reduction of energy costs in smart home systems.