We leverage on Machine Learning to deliver self-learning solutions to reduce buildings and estates’ carbon foot prints and enhance productivity; our solutions remove human error and takes over mundane human efforts and channel human touch points to more interesting and strategic roles
Focus area for the Intelligent Building
Optimizes energy consumption without compromising air quality and indoor comfort in even the most critical and demanding indoor space
Provides seamless integration with source systems for better data collection and analysis
Safety and Security
Automates equipment fault detection and diagnostics for strategic planning
Tenant & Occupant
Provides efficient space planning and retail allocation
Here's a sneak peek of our Energy Sustainability module
Optimizing for the current installed equipment, the product utilizes historical and ongoing real time data to find the best combination of setpoints for each equipment in the plant to operate.
This includes pumps speeds and chiller supply temperatures to achieve higher combined efficiency for each given building load. Utilizing the scalability of cloud computing, the data is sent to machine learning models to calculate and optimize, producing setpoint targets for equipment which is then sent back to the building system. The solution maximizes the use of every kilowatt being drawn from the power grid, increasing the plant kW/RT efficiency.
On average, it is expected to achieve savings of 7-10% per month for the chiller plant and as our research continues, further enhancements will be made possible.