AI technology supported railway system Point Machine pre-mature fault prediction platform

I&T Solution AI technology supported railway system Point Machine pre-mature fault prediction platform
(REF: S-1477)
Trial Project
Solution Feature
  • Use distributed edge processing units to collect the operation data of a point-machine for every operation session (motor operation voltage, current, temperature, vibration)
  • An AI model would use the collected data to predict the point machine's operation performance of the next session in terms of the motor operation voltage and current curve
  • Other site data would be added into the AI model prediction such as temperature change of the motor surface and vibration during the point-machine operation
  • The AI model would issue pre-matured fault alarm shall the point-machine operation performance is deviated from the prediction
  • The system would web interface will be provided for the user to manage the platform for visualisation of the historical data, perform analysis, training of the AI model
Trial Application and Expected Outcome
  • The trial would cover as many as 4 site location, and the operator is able to view the recorded point machine operation data via an Internet connected web browser
  • The AI model would be able to predict point machine performance after the recording and learning of few hundreds operations, and issue pre-matured fault alarm
  • The AI model learning process can be speed-up for faster site operation, by setting up a point-machine in a lab environment for continuous recording/learning of operations
  • As the AI model prediction becomes accurate, the railway operator will be able to schedule point-machine maintenance based on equipment condition
  • Since emergency repair of point-machine failure can be eliminated, this would increase the overall reliability of the railway operation
Additional Solution Information GDEPRI - MTR-PM-Technical Proposal V1.2.pptx
Info on I&T Solution Provider
Solution Provider:GDEPRI Power Control Systems & Equipment (HK) Limited
Address:Room 1909, 19/F., Tai Yau Building, 181 Johnston Road, Wanchai, Hong Kong
Contact Person:Stanley KW Leung
Position:General Manager
Tel:94628258
Email: stanley.kw.leung@gdepri.com
Webpage: www.gdepri.com

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