5. Predictive Maintenance for Lift (and other M&E equipment)

Background of Current Process & Challenge Statement

Currently, building owners rely on lift servicing companies to carry out periodic and ad-hoc maintenance to ensure lift breakdowns are kept to a minimum level. Very often, lift breakdowns are unpredictable and cause disruption of services to the lift users. With the advancement of IoT sensors and artificial intelligence, building owners are interested to have a predictive maintenance system for lifts and other M&E equipment as well. The lift predictive system should reduce disruptive/emergency repairs, improve the safety of lift users, improve reliability of the lifts and reduce downtime of the lifts.  With the ability to predict lift failures and the types of failures, the insights can be used to assess if lift maintenance contracts can be optimized and thus opportunities for cost reductions.


  • Minimal infrastructure preparation.
  • Compatibility with existing lifts and building management system.
  • Ability to assess lift status.
  • Ability to predict breakdowns / breakdown rates.
  • Ability to obtain lift operation info (e.g. most accessed floor, travel distance, waiting time).
  • Power monitoring and optimization of the coordination of lift travel patterns.
  • Cost savings in lift maintenance contracts.

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