| I&T Solution |
Development of AI Models for Predictive Maintenance of Lifts
(REF : S-1137)
|
| Trial Project |
|
| 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
|
| 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
|
| 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/
|
|
