Unified Platform with AI Modules for Management of Smart Estate


Infocomm - Cloud Computing
Infocomm - Big Data, Data Analytics, Data Mining & Data Visualisation
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The major hurdle in modern building is the multiple systems which do not share data, usually due to systems originating from different vendors.

However, through a unified platform, the data in these systems can be used to improve the operation, comfort and sustainability, making the building smarter in enhancing asset and resource productivity. 

The technology leverages on Subject Matter Experts’ experience and Machine Learning to deliver self-learning solutions to reduce carbon footprints and enhance productivity.

The technology is intended to optimize energy usage without compromising comfort, remove human error and take over mundane human efforts, and channel human touch points to more strategic roles.

Deployment of the technology can be facilitated with minimum to no new hardware, in shorter duration. The lower charges of the technology as compared to traditional tools, lead to operational rather than capital expense. 


The technology can be considered a unified platform for smart estate application.

The technology is capable of extracting data from multiple building management system (BMS) of different brands and sources into a single data lake. This could be either in BrickSchema or Haystack format, providing them with a remote view of status and performance.

  1. Real time visualization of all digitized points for a single building on a dashboard, or multiple buildings in a portfolio, highlighting performance drift to benchmarking expectations for contrast internally or against established national or industry benchmarks
    • (Chiller Plant, Air-side, Power, Water, Lift/Escalator)
      • System performance monitoring and reporting tool
      • Analytical tools for multi-dimensional system performance analysis
  2. Fault Detection/Predictive Maintenance/Anomaly Detection
    • Use the existing maintenance schedule as a guide to automate maintenance scheduling, both internally and with external vendors
    • Leveraging AI and machine learning assisted fault detection and predictive maintenance modules, enabling facility management teams to optimize technicians’ or engineers’ allocation and inventory management, resulting in an overall operations optimization
    • Alerts when any anomalies are detected
  3. Energy and Water Management
    • Digital twin (model) of chiller plant
    • Digital twin performance monitoring tools 
    • Automatic setting for optimum efficiency setpoints
    • Increase energy savings, reduce carbon footprints and reduce spending

Seamless Integration

  • Anywhere information accessibility through cloud-based platform 
  • Increase operational efficiency 


Companies within the built environment industry such as hospitals, shopping malls, office buildings, manufacturing plants and commercial buildings will be able to tap on the technology for use-cases such as:

  • Sustainability productivity 
  • Electricity cost savings and increased disposable income 
  • Environmental sustainability 
  • Water usage optimization 


  1. Real time visualization on a single dashboard (single or multiple portfolio assets) 
  2. Fault detection, predictive maintenance and maintenance scheduling 
  3. Leveraging AI and machine learning to optimize energy and water management 
  4. Data lake solutions 
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