创新及科技解决方案
解决方案编号
S-0493
解决方案名称
基於數字孿生的人工智能優化軟件平臺
解决方案描述
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.
应用领域
城市管理
气象
基础设施
使用的技术
人工智能
数据分析
深度学习
物联网
机器学习
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／机构名称
卡諾創新
电话号码
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
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