smart-ventilation fan

The smart-ventilation fan leverages IoT connectivity and AI-driven control to deliver precise, adaptive airflow for modern buildings and industrial spaces. Real-time data from temperature, CO₂, humidity, and occupancy sensors feed an AI engine that continuously optimizes fan speed.

Constructed with high-efficiency EC motors and aerodynamic impellers, the fan achieves seamless speed modulation across 0–100% range. The embedded microcontroller communicates via MQTT or BACnet to building management systems (BMS), enabling centralized monitoring and analytics.

Machine learning models predict ventilation demand based on historical and real-time data, pre-emptively adjusting airflow to prevent discomfort and reduce energy waste. This predictive ventilation can cut HVAC energy use by up to 35%.

Maintenance alerts—including filter replacement reminders and vibration anomaly detection—are automatically generated, ensuring reliable operation and minimizing downtime. The smart-ventilation fan is well-suited for office buildings, classrooms, laboratories, and high-tech manufacturing environments.