Execution Context
The Sensor Data function serves as the foundational ingestion layer for the AI factory, specifically targeting the Devices - IoT domain. It is designed to collect high-frequency telemetry from heterogeneous hardware sources and normalize them into a unified schema. By operating under System-level authority, this module ensures data integrity before it reaches analytical models or orchestration agents. Its primary value proposition lies in reducing latency between physical event occurrence and digital availability, enabling real-time decision-making capabilities for critical infrastructure monitoring applications.
The system initiates a polling cycle to query registered IoT endpoints for the latest telemetry packets.
Received raw data streams are validated against schema constraints and filtered out of noise or corrupted signals.
Normalized records are timestamped, indexed, and pushed into the central data lake for immediate consumption.
Operating Checklist
System identifies active IoT device endpoints in the registry.
Polling mechanism requests current state from each connected sensor.
Ingestion service validates data format, range, and timestamp consistency.
Cleaned readings are serialized and stored in the primary data repository.
Integration Surfaces
Device Gateway Interface
Direct API connection where IoT hardware pushes raw voltage, temperature, or pressure metrics to the ingestion engine.
Data Validation Engine
Internal processing node that checks sensor readings against historical baselines and physical limits before storage.
Analytics Dashboard Feed
Real-time visualization layer that displays aggregated sensor streams for system operators and automated agents.
