AI on Predictive Maintenance and Performance Optimisation for Main Low Voltage Switchboard

I&T Solution AI on Predictive Maintenance and Performance Optimisation for Main Low Voltage Switchboard
(REF: S-1356)
Trial Project
Solution Feature
  • Centralized building management platform
  • Predictive monitoring on critical asset
  • Module design with limitless compatibility
  • Facilitate decision making
  • Provide data in support to ESG rating
Trial Application and Expected Outcome
  • knowledge database of historical data of various defect types
  • cumulative database of real-time data of installed systems
  • AI fault detection & prediction algorithm
  • AI energy optimization algorithm
  • Operation analysis and alert system
Additional Solution Information RaSpect SBMS proposal for EMSD InnoPortal.pdf
Info on I&T Solution Provider
Solution Provider:RaSpect Intelligence Inspection Limited
Address:Room 308,InnoCentre,72 Tat Chee Rd, Kowloon Tong
Contact Person:Tony Ip
Position:Technical Manager
Tel:9557 9125
Email: tony.ip@raspect.ai
Webpage: https://www.raspect.ai/

For details of the above I&T solution, please contact the I&T solution provider.