Operational Pilot

Smart Building Operations

Distributed multi-sensor networks with confidence-based decision support. Real-time anomaly detection, sensor correlation analysis, and interactive what-if optimization for building climate, occupancy, and energy efficiency.

Explore Floorplan Anomaly Detection
Spatial Awareness

Interactive Building Floorplan

Click on sensor nodes to view real-time readings, confidence levels, and historical trends. Heatmap visualization shows interpolated environmental conditions across the entire floor. Green = trusted data, Yellow = caution, Red = anomaly detected.

Active Sensors
12/12
Fault Detection

Real-Time Anomaly Detection

Detect sensor drift, calibration failures, and environmental anomalies in real-time. Each sensor continuously compares expected vs. actual behavior. Color-coded alerts show confidence decay and anomaly severity.

Detection Engine
IDLE
Sensors Healthy
12/12
Warnings
0
Critical
0
Avg Confidence
95.2%
🟢 Green: Trusted (>90% conf) | 🟡 Yellow: Caution (70-90%) | 🔴 Red: Alert (<70%)
Data Analysis

Sensor Correlation Matrix

Visualize how different sensors correlate across the building. Dark blue = strong positive correlation, Red = negative correlation, Gray = no relationship. Reveals hidden dependencies and helps validate sensor networks.

Matrix Size
12x12
🔵 Dark Blue: Strong +Correlation | ⚪ Gray: No Correlation | 🔴 Red: Negative Correlation
Decision Support

Interactive What-If Simulator

Simulate building conditions and see predicted outcomes. Adjust HVAC setpoints, occupancy levels, and external weather to optimize energy efficiency while maintaining comfort. Real-time predictive feedback based on historical sensor data.

22°C
50%
20°C
Predicted Temp
22.1°C
Energy Use
2.4 kW
Comfort Score
87%
CO₂ Level
520 ppm