IoT Anomaly Agent

Agentic AI for Industrial Sensor Monitoring

Azure IoT HubSim.aiReal-time ML
<30sAlert Latency
6Sensor Types
AutoWork Orders

Problem

Industrial sensors generate massive data streams. Manual monitoring is impossible at scale, and traditional threshold alerts create alert fatigue with too many false positives.

Solution

AI agent that ingests real-time telemetry from Azure IoT Hub, detects multi-sensor anomaly patterns using ML, and autonomously generates work orders with human-in-the-loop approval.

Architecture

Sensors → Azure IoT Hub (Free Tier) → Stream Analytics → Anomaly Detection ML → Sim.ai Agent → Auto-generate Work Order → Teams/ServiceNow notification.

IoT Anomaly Detection Demo

⬆️
Wellhead Pressure
2450
PSI
🌡️
Process Temp
185
°F
💧
Flow Rate
850
BBL/D
📳
Pump Vibration
2.1
mm/s
☁️
H2S Level
3
PPM
Power Draw
42
kW

Live Architecture

SensorsAzure IoT HubSim.ai AgentAnomaly MLWork Order
🤖
Industrial IoT Agent
○ Ready
Click "Start Simulation" to begin...
📋 Work Order GeneratedWO-002657
Asset:Pump Station P-101
Issue:Bearing failure detected
Priority:URGENT
ETA:~4 hours to failure