Smart building investments do not start with buying devices. When lighting, HVAC, generators, lifts and energy meters meet in a single data model, the building becomes efficient. That is why the project has to be planned around the network and the data architecture, not around a device list.
A layered architecture
A modern smart building architecture has four layers.
- Sensing layer: Sensors, meters and smart devices collect the data.
- Network layer: Wireless and wired infrastructure carry the data reliably.
- Platform layer: Data collection, storage and visualisation.
- Application layer: Energy management, lighting scenarios and reporting.
The network decides the outcome
IoT devices are the most common source of risk in a corporate network. Many of them run on operating systems without update support, arrive with default passwords and do not encrypt their traffic. IoT traffic therefore belongs in a separate segment with restricted management access.
- Direct access from the management network to IoT devices has to be closed.
- Inter-device communication has to be controlled, with only the necessary ports open.
- Wireless networks have to be protected with corporate identity authentication (802.1X).
- The device inventory has to be discovered automatically and management interfaces closed.
Do not start before you measure
The first step of a smart building project is to measure the current consumption. At least one year of consumption data makes the scenarios realistic and the expected savings defensible. Targets have to be defined per zone and as a time series.
Integration and maintenance
A smart building is not the product of a single vendor. When devices from different brands cannot talk to each other, the value of the system drops. Open protocols (Modbus, BACnet, KNX, MQTT) and a central data model make it possible to add new devices later and to change vendors. The maintenance plan has to cover the device update cycle and sensor calibration as well.
Serventa runs the network architecture, the security segmentation and the energy monitoring platform of a smart building project together, so that devices are not merely collected but turn data into operational decisions.
