I&T Solution |
Convert Knowledge Graph for E&M equipment from designated data source using AI
(REF: S-1688) |
Trial Project |
|
Solution Feature |
- Continuous development of the non-intrusive IoT sensor embedding more abnormal sound detection to identify more types of lift faults
- Formulate the development of IoT sensor in regard of some international standards such that data handling process via the sensor can be standardized
- Advanced development of a more comprehensive AI model for abnormal operation fault detection
- Arrangement of a spherical drone for lift shaft inspection. By collecting data from lift component detection, a larger pool of data can be considered during AI model development
- Liaise with different sensor suppliers and engage them into the common IoT Platform for a variety of sensor data tracking
|
Trial Application and Expected Outcome |
- Apply machine learning and AI to analyze the collected operation and fault data. Build a comprehensive model to deliver predictive fault alerts accurately, reducing the chance of incidents
- Integrate with Digital Log-books for Lifts and Escalators. Enable lift owners and contractors to better monitor their lifts for uplifting lift service quality and safety level
- Upgrade the sensor functionality, stability, and accuracy while being low-cost and non-intrusive.
- Add a sensor in the lift machine room to measure brake sound, vibrational signal, and other related signals for detection of lift motor brake malfunction
- Collect data from different registered sensors made by different suppliers and Formulate a guideline on the development of IoT sensors for lifts regarding international standards
|
Info on I&T Solution Provider |
Solution Provider | : | CAPAX TECHOLOGY LIMITED | Address | : | Flat/Rm 509, 5/F, Building 19W, No.19 Science Park West Avenue, Pak Shek Kok, N.T., Hong Kong | Contact Person | : | Ashley Cheung |
Position | : | Project Manager | Tel | : | 67461442 | Email | : |
ashleycheung@capax-tech.com | Webpage | : | https://www.capax-tech.com/ |
|