S-0493
AI-Powered Optimization Software Platform Based on Digital Twins
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.
City Management
Climate and Weather
Infrastructure
Artificial Intelligence (AI)
Data Analytics
Deep Learning
Internet of Things (IoT)
Machine Learning
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
Carnot Innovations Limited
68104217
Unit 540, 5/F, Building 5W, No. 5 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, N.T., Hong Kong
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.