The Turing Cooling AI Box uses edge control, AI and big data technologies to empower your building’s HVAC system, driving the energy efficiency revolution of the chiller plant. It can accurately predict cooling demands based on historical data, achieve fully automated operation without human intervention and intelligently schedule equipment parameters to achieve the optimal overall system efficiency.
Siemens' inclusive AI technology injects core AI highlights into partners' solutions. The AI helps enhance market competitiveness and efficiently expand business customer groups, making customer acquisition no longer a headache.
With five key functions—topology modeling, data cleaning & completion, load forecasting, hybrid physics + data models and global optimization—the AI Boxtaps the energy-saving potential of chiller plants with a modest investment.
Drastically shorten the implementation cycle. It only takes 3 days to deploy and launch the AI system. Start business promotion faster and implement energy-saving solutions rapidly.
1:1 replication of on-site equipment quantity, connections and corresponding relationships. The AI adapts to each project rather than providing generic values, ensuring all output results are executable and truly implementable on site.
The AI Box adopts a hybrid physics and data-driven model, covering 4 equipment types and 5 core models that include an equipment power model and a cooling tower heat exchange model. The system self-learns continuously to adapt to dynamic changes in environment, load and equipment efficiency.
Based on future demand, the AI optimizes parameters in advance, avoiding supply-demand mismatch and reducing unnecessary energy consumption.
The AI Box is constrained by nearly 15 safety boundaries (water temperature, frequency, and more). It adapts to 32 working modes (fixed/variable frequency) with no false energy-saving data.
