
Zynka BIM AB
Smarter premises use with sensor data
How to optimize your premises and offices with data from sensors for presence and indoor environment.
Modern property management today uses various sensors to measure the presence and use of office premises and meeting rooms. With Zynka's Digital Buildings platform, real-time data from booking systems, presence sensors and indoor climate (temperature, humidity/CO₂) is collected in a common platform. A 3D model (digital twin) visualizes how the premises are used – both in real time and over historical time periods – which provides a comprehensive picture of presence patterns and utilization. This gives property managers concrete insights for planning premises, relocation decisions and energy efficiency.
Sensor types and data collection.
Several types of sensors are used to map the use of the premises:
Passage sensors at entrances: count people entering and leaving and provide data on the total flow in the building.
Presence sensors (e.g. motion detectors in rooms): register whether people are in an office or meeting room.
Temperature and CO₂ sensors: measure climate conditions in rooms. High CO₂ levels can indicate high occupancy and control ventilation, for example.
Booking system linked to sensor data: by matching meeting room bookings with the actual presence of sensors, it is revealed which rooms are actually used.
By linking sensor data and booking systems, the actual utilization rate of meeting rooms and office space is revealed.
Are the rooms that are booked being used?
Are rooms being used even though they have not been booked? By analyzing behavioral patterns, better routines can be created for different rooms and also cost savings can be made over time.

Other news

Reuse in renovation projects
Working with reuse in renovation projects is both inspiring and necessary – but far from easy. In order to make sustainable decisions early in the project, a clear picture of what is already in the existing building is required.

Digital twins in the real estate industry
How will this technology redefine one of the world's most complex and resource-intensive industries?