Prefabrication construction is one of the cutting-edge technologies using prefabricated components such as MiC (Modular Integrated Construction) to improve quality, productivity, safety and sustainability. Prefabricated buildings in the Greater Bay Area (GBA), especially those in the Hong Kong Special Administrative Region, have always faced challenges such as high variability, geographical dispersion of activities, and information fragmentation. This talk will take Hong Kong’s prefabricated buildings as an example to demonstrate a smart system implemented using digital twins, big data processing, BIM, and IoT-related technologies. The system uses various captured and collected construction big data for MiC production, logistics, assembly and monitoring. These data will be converted into multi-dimensional information through big data analytics encapsulated in digital clones to map and characterize physical entities such as components, locations, geometries, costs and construction schedules. This research topic is supported by the Innovation and Technology Commission of Hong Kong (ITC) and Chunwo Construction Co., Ltd.
Professor Runyang Ray Zhong is an Assistant Professor at the Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong (HKU). He has an interdisciplinary education background in Computer Science and Technology (BSc), Digital Signal Processing (MSc), and Industrial Engineering (PhD). Before joining HKU, he was a lecturer in The Department of Mechanical Engineering, University of Auckland, New Zealand. He authored over 270 peer-reviewed journal and conference papers with total citation from Google Scholar is over 17,822 (H-index: 63, i10-index: 176). He is one of the HKU researchers ranked by Clarivate Analytics in the top 1% worldwide by citations since 2019. Professor Zhong is an active member in the professional societies in the above two research fields, such as IEEE Senior Member, Members of ASME, IET, HKIE, and LSCM HK. He also serves as Area Editor and Associate Editors for some leading journals, such as Computers & Industrial Engineering, International Journal of Computer Integrated Manufacturing, and International Journal of Manufacturing Research.
Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.
