Development of AI-driven Maintenance Planning Tools

I&T Wish Development of AI-driven Maintenance Planning Tools
(REF: W-0622)
Matched I&T Solution
Trial Project
Summary and Challenges The project aims to develop an AI-powered tool for risk prediction, jobs planning and resource mobilization for EMSD Maintenance Works at selected venues.

Background of existing maintenance works at selected venues:
  • Involving multiple systems with more than 40,000 devices widely distributed over 800 locations where permits for site access at some locations are required.
  • Different maintenance frequencies for different systems, with demand for ad-hoc maintenance.
Pain points in current operations:
  • Heavy reliance on past experience regarding the scheduling of maintenance works.
  • Difficult to take all relevant factors into consideration when planning maintenance works.
  • Manual coordination involved in the deployment of maintenance resources.
  • Vast amount of information associated with the works nature and the resources availability to be handled manually by responsible person.
Expected Outcome The prototype of the system shall include the following 3 functions:
  • Dynamic Risk Prediction – with the available sensor data, environmental data and past maintenance records, analyze and predict the risk of equipment failure to be presented in a heat map.
  • Risk-based Maintenance Scheduling - Automatic generation of yearly, monthly and daily maintenance schedule with due consideration of various factors and provide recommendations in response to fault calls/unexpected events
  • AI-powered Maintenance Resources Mobilization - Automatic classify the faults for urgency and criticality based on description of fault calls, estimate the time taken to clear the fault and assign available and appropriate resources to each maintenance task and recommend the best travelling route and maintenance task sequence. Solution Provider are expected to have related job experience on AI tools development.
Expected Trial Duration 9-month
Contact Information
I&T Wish Proposer:Electrical and Mechanical Services Department (EMSD)
Contact Person:Mr FONG Chuen
Position:Contract Analyst Programmer /Security/Drainage Services 1
Tel:3746 1053
Email: cfong@emsd.gov.hk
Upload Date 2026-11-09
Closing Date 2026-11-30
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