| Trial Project |
Development of AI Models for Predictive Maintenance of Lifts
(REF: P-0235) |
| Matched I&T Wish |
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| Matched I&T Solution |
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| Solution Feature |
- Deploy an innovative AI model to monitor multiple parameters such as vibration, temperature and distance from the sensors installed at lift system
- Collect the real-time operation data from the optical and electronic sensors of the critical lift components including traction motor, brake arms, steel ropes and lift doors
- Recognize lift operation patterns and correlation with lift conditions
- Analyse the data and perform predictive maintenance using artificial intelligence technologies
- The analytic report in a dashboard format shall be displayed on an existing EMSD cloud of each critical lift component, s.a. detected faults from the historical data, potential performance degradation and estimated EOL of the component
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| Trial Information |
| Trial Site |
: |
Various government buildings |
| Trial Scale |
: |
Raw data from 4 lifts |
| Trial Duration |
: |
Jun 2022 to Aug 2023 |
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| Additional Solution Information |
EMSD_Inno_Lift_PM_Sebit.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Sebit Company Limited | | Address | : | Unit 727, 7/F, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park, N.T. Hong Kong | | Contact Person | : | NG YIU WING |
| Position | : | Director | | Tel | : | 39052032 | | Email | : |
wingng@sebit.world | | Webpage | : | https://sebit.world |
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