What is Onboard's Data Model?

Onboard’s Data Model is how we turn raw, messy building data into structured, meaningful information that is ready for you to export, analyze and apply in the real word. It defines the different types of assets in your building.

🧱 The Data Model includes:

• Equipment: Physical or virtual entities in a building system like AHUs, VAVs, meters, boilers, etc
• Points: Individual sensors, actuators or setpoints in a building. They can monitor conditions, such as temperature or humidity, or control actions, like turning on a fan or adjusting a damper
• Measurements: Units for sensor readings. The QUDT standard is employed by our Data Model
• Locations: Spatial hierarchy of your building such as floors, rooms, corridors or stairwells
• Relationships: Connections between equipment and between equipment and locations (e.g., an AHU feeds into a VAV, or a VAV is located in Room 210).
• Modeling State: Defines the state of equipment and points on Staging

🏛 Built on Standards

Our data model is based on Google's Digital Buildings Ontology and enhanced with Project Haystack tags for more interoperability. You can also add your own custom labels to support unique use cases. The Ontologies provide the rules and structure, while Onboard's Data Model implements those rules on your building data.

🔌 API-Ready

Onboard’s Data Model is easy to consume via the API and can be exported along with your building’s time-series data, making it simple to integrate with your workflows.

👉 Visit our Data Model page for a visual look of how your building’s assets can be labeled.

📎 To learn more about the foundation behind the data model, check out What is an Ontology in the Context of Building Data?