The Building Energy Dynamic Management Platform is designed for large public buildings, commercial complexes, and industrial parks — integrating IoT sensors, AI prediction algorithms, and digital twin technology for real-time collection, analysis, and smart control of water, electricity, gas, and heat energy data. Through refined management of HVAC, lighting, elevators, and other key energy-consuming equipment, the platform helps buildings achieve energy savings and carbon optimization.
Built on a cloud-native architecture, the platform supports multi-building group management with energy diagnostics, anomaly alerts, and energy-saving strategy recommendations. Currently covering over 20 million square meters of building space, with cumulative electricity savings of 120 million kWh — helping customers achieve green and low-carbon transformation goals.
Real-time collection of 20+ energy types (water, electricity, gas, heat, cooling) with minute-level refresh rates — sub-meter, sub-zone, sub-time analysis with second-level anomaly alerts.
Deep learning-based load prediction combining weather, occupancy, and other dynamic factors — auto-optimizing HVAC setpoints, lighting levels, and equipment schedules for maximum efficiency.
3D building models with real-time data overlay — visualizing energy hotspots with device-level reverse control — making energy management visible and controllable.
Built-in national and international carbon emission factor databases — auto-calculating building operational carbon footprints with carbon reporting and green power offset support.
Auto-generated retrofit recommendations based on energy benchmarking and equipment efficiency — covering LED replacement, VFD optimization, heat recovery, with ROI calculations.
Multi-parameter monitoring (vibration, temperature, current) with machine learning anomaly detection — early fault warnings reducing unplanned downtime.
