Development of Escalator Web-based Predictive Fault Alarm System using Optical Fiber Sensing & Artificial Intelligence Technology

Title of I&T Wish Development of Escalator Web-based Predictive Fault Alarm System using Optical Fiber Sensing & Artificial Intelligence Technology
(REF : W-0229)
Project Summary and Challenges This project explores the application of optical fiber sensing and artificial intelligence (AI) technologies to develop a predictive fault alarm system for escalators. About 8 escalators of 4 different sites will be strategically identified for conducting the pilot test. Optical fiber sensors will be installed at various safety critical components of the escalators to continuously monitor their operational conditions. Signal processing tools based on artificial intelligence and machine learning techniques will be formulated for processing the readings collected by the sensors so as to extract the essential information that reflects the diagnostic as well as prognostic information of the escalators. All the information will be accessible and visualized through web application platform.
Expected Outcome The ultimate goal of this project is to develop a smart predictive monitoring system for escalator safety and reliability enhancement by the use of innovative technologies.
Expected Project Duration 2 years
Contact Information

Name: TSANG Tsz-fung, Klaus

Position: Engineer, General Legislation Division, EMSD

Tel: 6909 5881

Email: tftsang@emsd.gov.hk