BA116 Empowers Xiongan New Area Green Building Benchmark Project
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BA116 Empowers Xiongan New Area Green Building Benchmark Project

BA116 powers Xiongan's "zero-carbon" building with AIoT integration, optimizing energy use and reducing carbon emissions.
BA116 Empowers Xiongan New Area Green Building Benchmark Project
Case Details
Fragmentation of Multi-Brand Device Protocols: The building incorporates devices utilizing seven different communication protocols, including Siemens PLC, Modbus electricity meters, and BACnet MS/TP air conditioning units.
Extreme Environmental Stability Requirements: Basement equipment rooms experience extreme temperature fluctuations, reaching up to 50°C in summer and down to -15°C in winter.
Real-time Data Processing Pressure: Simultaneous collection of over 12,000 data points with millisecond-level response times is required.

Solution: Bliiot BA116 HVAC Edge Gateway + AIoT Platform:
The project employs the Bliiot BA116LG-SOM335 (4G+GPS version) as the central hub, establishing a three-layer intelligent architecture:
Edge Layer: Industrial-Grade Reliable Access:
Multi-Protocol Integration: Simultaneously connects BACnet MS/TP air conditioning units, Modbus RTU lighting circuits, DL/T645 electricity meters, and other devices through 8 isolated RS485 ports.
Extreme Environment Adaptation: Features a titanium alloy casing and a wide operating temperature range of -40~85°C, ensuring stable operation in basement equipment rooms.
Security Encryption: Utilizes TLS/SSL transmission and hardware-level electrical isolation, passing the GB/T 17626.2 Level III electrostatic discharge immunity test.

Platform Layer: Intelligent Decision-Making Center:
High-Speed Acquisition of 10,000 Points/Second: Powered by a dual-core Cortex-A7 processor with a 1.2GHz main frequency, completing a full building equipment status scan in 1.5 seconds.
Cloud Collaboration: Synchronizes data to the Alibaba Cloud IoT platform via the MQTT protocol, enabling 3D visualization through digital twins.

Application Layer: AI-Driven Energy Saving:
Dynamic Temperature Control Algorithm: Reduces air conditioning energy consumption by 28% based on real-time people flow density and outdoor temperature/humidity predictions.
Intelligent Lighting Control: Achieves a 35% electricity saving rate through on-demand lighting strategies, with 5G+WiFi dual-network redundancy for reliability.
Predictive Maintenance: Analyzes data from vibration sensors to provide a 14-day early warning for cooling tower bearing failures.

Implementation Results:

Indicator Before Upgrade After Upgrade Improvement
Total Energy Consumption (kWh/year) 2,860,000 1,980,000 ↓30.7%
Equipment Failure Response Time (hours) 4.5 0.8 ↓82%
O&M Labor Cost (CNY/year) 530,000 320,000 ↓39.6%
Carbon Emissions (tons/year) 1,420 982 ↓30.8%
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