Overview

The Data Fusion Layer structures and unifies multi-device IoT telemetry into a standardized digital twin model using an optimized Brick Schema ontology.

The Data Fusion Layer serves as the foundational data structure for smart facility management. By normalizing heterogeneous payloads from disparate IoT hardware, it creates an accurate digital twin that mirrors physical building hierarchies, assets, and real-time environmental conditions.

Core Capabilities

• Brick Schema Ontology: Leverages a tailored subset of Brick Schema to standardize relationships across sites, floors, zones, BMS systems, and IoT sensors.

• Multi-Device Aggregation: Merges data streams from multi-vendor sensors into a unified, spatial context rather than isolated device silos.

• Genio AI Integration: Supplies clean, contextualized data to Genio for advanced analytics, predictive maintenance, and operational insights.

• Context-Aware Reporting: Powers intuitive dashboards that display telemetry within its exact spatial context (e.g., room occupancy, floor-level energy use).

• Abstracted API Access: Provides a single, standardized API interface to feed normalized data directly into custom applications or third-party tools, such as tenant employee apps, IWMS, and enterprise ERP systems.

The model

The model is built from typed objects: regions, sites, buildings, levels, zones, rooms, assets, and the points that bind them to device data. The type of an object determines what it may contain and which properties it carries.

Types