Development of semantic data infrastructure for smart building monitoring system: preliminary study
To gain access to the latest features in property management, KTH Live-In Lab has upgraded both the parent property system and the local property servers to EcoStruxure Building Operation 2022. One of the features implemented so far in KTH Live-In Lab is Semantic Tagging.
Background
Semantic tagging of a property means that all values, sensors, equipment, etcetera are given so-called "tags" that in clear text describe each of these values, sensors and so on. A fan can, for example, be given a tag such as "Supply air fan" and a sensor in a unit "Exhaust air sensor". The semantic tagging does not replace the existing brand standard but instead functions as a complement. A copy of the property containing all the spaces served by the HVAC system is also created. In the copy, buildings are created and rooms are placed on the right level and as the correct room type.
When everything in the property has been tagged and the property is built, the relationships between the property's various equipment and locations are created. A relationship can, for example, be "Room sensor LB01-GT31 has room 324", followed by "Room 324 is part of Plan 3" and then "Plan 3 is part of Building Y".
When the entire database of tags and relationships is built, a digital twin has been created. This means that it is possible to easily find, for example, all supply air sensors that serve a certain building, which pumps provide heat to classrooms and so on. It is also possible to easily navigate the digital twin via the web interface. If, for example, an alarm should occur, it is easy to identify where the alarm comes from and what is affected by that particular alarm.
The semantic database is also open for third parties to make inquiries to. This makes it possible to read out and use the digital twin in other contexts, for example in construction design and for building algorithms to control the climate via AI functions.
