IoT Thrust Seminar | Construction-induced Vibration Monitoring Using IoT And Deep Learning Technologies
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Construction activities frequently generate excessive vibrations that adversely affect nearby structures, facilities, and human beings. Vibration monitoring is commonly adopted to assess the impact of construction. Traditional monitoring solutions are associated with various limitations, such as high costs, specialized operation, difficult maintenance, and limited functions. Moreover, huge amounts of monitoring data cannot be efficiently used in other studies or projects due to missed information labels. This talk will present the recent efforts of my research group to address these problems by leveraging emerging IoT and deep learning approaches. IoT sensing solutions and deep learning-based semi-supervised classification of construction activities will be introduced.
Prof. Songye ZHU received his Bachelor's and Master's degrees in Structural Engineering from Tongji University, China, and his Ph.D. degree in Civil Engineering from Lehigh University, USA. He is currently a full professor and Associate Head in the Department of Civil and Environmental Engineering at The Hong Kong Polytechnic University. His major research interests lie in the fields of smart materials and structures, structural control and monitoring, and renewable energy. He has published over 150 peer-reviewed journal papers and has been granted nine patents. His research works have received numerous international awards from different professional societies and publishers. He is serving as Editor of Advances in Structural Engineering, and Associate Editor of International Journal of Nano and Smart Materials. He is also the Past President of American Society of Civil Engineers – Hong Kong Section.