Application Scenario: Commercial Office Building
In a bustling 30-story smart office tower in Singapore, the facility manager faces a challenge: skyrocketing energy bills due to inefficient HVAC operation. Traditional on/off cycling of chillers wastes power, while uneven temperature zones frustrate tenants. Enter the BL310 Industrial Computer—the brain of an AI-driven air conditioning optimization system.
Hardware Configuration:
BL310 Industrial Computer (Powered by i.MX6ULL processor)
Environmental Sensors:
Wireless temperature/humidity sensors (±0.3°C accuracy)
CO₂ concentration sensors (NDIR technology, 0–5000 ppm range)
Actuators:
Variable Frequency Drives (VFDs) for centrifugal chillers (Modbus RTU interface)
How It Works:
Real-Time Data Fusion
Sensors embedded across floors feed data to the BL310 via its 8x AI interfaces, sampling conditions every 10 seconds. The CO₂ sensors detect occupancy spikes in conference rooms, while temperature nodes identify solar gain hotspots near west-facing windows.
Edge AI Decision-Making
The BL310’s i.MX6ULL processor runs a predictive algorithm that:
Correlates occupancy patterns with historical weather data
Dynamically adjusts chiller output via Modbus TCP/RTU commands
Implements "pre-cooling" before peak hours using thermal mass optimization
Adaptive Control
When the 22nd-floor sensor detects CO₂ levels rising above 800 ppm (indicating a packed meeting), the BL310:
Boosts airflow by 20% via VFD speed adjustment
Lifts setpoints by 1.5°C in unoccupied zones
Logs anomalies through its RS485 industrial bus for maintenance alerts
Results:
31% reduction in HVAC energy consumption (verified by 6-month ISO 50001 audit)
Tenant comfort complaints dropped by 67%
ROI achieved in 14 months through demand-side savings
