| I&T Solution |
Blockchain-based AIoT Platform, Sensors and Drones for Facility Health Monitoring
(REF: S-1689) |
| Trial Project |
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| Solution Feature |
- To build a predictive maintenance algorism for elevator by using machine learning and neutral network, reduce maintenance costs, increase reliability and safety of lifts.
- Monitor the elevator by a system of sensors, analyze real-time data by the installed device, transfer data to the cloud by mobile telecommunication.
- To provide a cloud-based AI platform which data storage, data management and data analysis, providing data anomaly detection and reports.
- Use of drones instead of humans for lift shaft inspection.
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| Trial Application and Expected Outcome |
- To develop an elevator sensor with the functions of lift data acquisition and data organisation and transmission.
- To develop a predictive maintenance algorithm for lifts, which inputs lift sensor data, identifies the current lift operation status, and calculates the failure probability value of components.
- To develop a drone lift shaft inspection system to inspect the components in the shaft through cameras and sensors, and to obtain the position information of the sensors in the shaft environment.
- Upgrade the existing Internet of Things (IoT) platform to accommodate the new sensor and drone system.
- To develop a lift data management system that receives and stores lift sensor data, generate lift maintenance reports and abnormal alarms for back-office management.
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| Additional Solution Information |
Blockchain-based AIoT Platform.pptx
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| Info on I&T Solution Provider |
| Solution Provider | : | Hong Kong Productivity Council | | Address | : | HKPC Building, 78 Tat Chee Avenue, Kowloon, Hong Kong | | Contact Person | : | Anson Lo |
| Position | : | Manager, Robotics and Artificial Intelligence Division | | Tel | : | 2788 5397 | | Email | : |
ansonlo@hkpc.org | | Webpage | : | https://www.hkpc.org/en |
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