| I&T Solution |
AI Hauling Rope Condition Monitoring System
(REF: S-1270) |
| Trial Project |
|
| Solution Feature |
- Automatic non-destructive testing of hauling ropes of the Peak Tram
- Identification of abnormalities of steel wire ropes through Magnetic Flux Leakage measurement
- Safe and reliable data generation
- Rope condition evaluation through AI processing algorithm in real-time
- Dashboard to visualise rope conditions and alerts in a user-friendly manner for immediate actions and timely maintenance
|
| Trial Application and Expected Outcome |
- The testing and measurement device will be tested in the tram operation environment for the purpose of data collection.
- Collected data will be used for analysis and AI model training. Reference and threshold voltage values will be recorded.
- Corresponding software development will include AI analysis of steel wire rope voltage and trigger of alarm/maintenance functions.
- Prototype will be tested in the operating environment, model will be fine-tuned and defects rectified as necessary.
- Finally, the model will visualise monitoring and analysis results in the user dashboard, immediate action alerts and maintenance alerts will be deployed for user’s action.
|
| Additional Solution Information |
The Peak Tram MS.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | Kodifly Limited | | Address | : | Room 609, 118 Wai Yip Street, Kwun Tong, Kowloon, Hong Kong | | Contact Person | : | Mr Henry Wong |
| Position | : | Technology Director | | Tel | : | 6159-3979 | | Email | : |
henry@kodifly.com | | Webpage | : | https://www.kodifly.com/ |
|
