Visualizing building data

The visualization of building data is the graphical representation of information collected by sensors and IoT systems in a building. Automated processing of the data in the form of diagrams, heat maps, or interactive dashboard views makes abstract values such as energy consumption, room occupancy, or air quality readable and understandable. The aim is to identify important trends and deviations more quickly and to make the control of building functions more efficient.

The data is processed via IoT platforms that collect and analyze data from mesh networks as well as local and cloud-based systems. This information is processed in real time to give users access to current status values or historical developments. For example, a diagram can display the energy consumption data for individual building sections, while interactive maps show the temperature distribution in an office area.

Practical applications include, for example, monitoring air quality in conference rooms in order to initiate appropriate ventilation measures. Thermal imaging data from heating systems facilitates the identification of inefficient areas, and occupancy analyses enable the optimization of workspaces. Such representations support building managers in making concrete decisions and reducing operating costs.

Additional technologies such as digital twins expand the possibilities of visualization. They enable the simulation of building changes based on real-time data, for example to compare energy saving potential or maintenance planning for networked devices.

The visualization of building data is a key technology in building automation. It makes IoT data tangible for users and serves as the basis for data-driven decisions.