創新及科技解決方案
解決方案編號
S-0493
解決方案名稱
基於數字孿生的人工智能優化軟件平臺
解決方案描述
The real world is a complex system, in which every component is linked to the others. Digital twins could accurately simulate the complicated situation in the real world, but this is not enough for providing the practice benefits for public services.
Carnot Innovations propose an AI-powered optimization platform to find the best parameters in the complex system, then enable automated recommendations. The decision-making ability in complex systems could be improved with our optimization platform. We could conduct the optimization as long as the simulation is possible, such as decreasing pumping cost while ensuring network pressure and improving building energy usage through optimized HVAC optimization.
應用領域
城市管理
氣象
基礎設施
使用的技術
人工智能
數據分析
深度學習
物聯網
機器學習
使用例子
Example of service could improve:
1. Network Optimization - improve pumping cost while ensuring network pressure
2. Energy Optimization - improve building energy usage through optimized HVAC optimization
- Target:
Finding the best parameters in the complex system to enable automated recommendations.
- Technical-how:
• Inputting the historical data (1-year data is recommended) to build predictive models.
• Create a base estimator for system performance.
• Based on the predictive estimation model, conducting optimization in the search for the best parameters: setpoint, sequencing, and staging.
- Proven Outcome: There is reduction in energy costs over existing controls
公司／機構名稱
卡諾創新
電話號碼
68104217
地址
Unit 540, 5/F, Building 5W, No. 5 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, N.T., Hong Kong
若政府部門欲對創科方案進行PoC試驗或技術測試，請聯絡Smart LAB。
