| I&T Solution |
Development of AI Models for Predictive Maintenance of Lifts
(REF: S-1137) |
| Trial Project |
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| Solution Feature |
- Development of generalized A.I. models for different lift components to detect potential faults so as to achieve predictive maintenance
- Development of A.I. models shall utiliize those historical performance data (of each lift component) provided by EMSD
- Inter-correlation among multiple lift components' performance and the decay lifecycle shall be figured out via the analysis results from A.I. models
- Application of the AI models shall be available on an existing server in EMSD
- Development of a dashboard to visualize the lift components' performance
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| Trial Application and Expected Outcome |
- Develop three machine learning models for decay prediction and six engines for anomaly detection in regard of the following lift components: motor, ropes, lift door, lift car, brake and levelling
- Develop mathematical matrix and algorithm for anomaly detection to figure out the lift performance's trend analysis as well as the inter-correlations among components' performance
- Provide recommendations regarding the implementation of predictive maintenance system based on A.I. models' analysis
- Deliver a performance dashboard to visualize the lift components' analysis results as well as to prompt alerts when abnormality happens
- Deliver source code, operation & maintenance manual and suggestion report of the A.I. models
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| Info on I&T Solution Provider |
| Solution Provider | : | CAPAX TECHOLOGY LIMITED | | Address | : | Room 407-8, 4/F, Hing Yip Commercial Building 272-284 Des Voeux Road Central, Hong Kong | | Contact Person | : | Ashley Cheung |
| Position | : | Project Manager | | Tel | : | 67461442 | | Email | : |
ashleycheung@capax-tech.com | | Webpage | : | http://capax-tech.com/ |
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