I&T Solution

ITSolutionRef

S-0493

Solution Name

AI-Powered Optimization Software Platform Based on Digital Twins

Solution Description

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.

Application Areas

City Management

Climate and Weather

Infrastructure

Technologies Used

Artificial Intelligence (AI)

Data Analytics

Deep Learning

Internet of Things (IoT)

Machine Learning

Use Case

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


If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.