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This book introduces the application of computer vision (CV) and AI technologies to indoor personnel information monitoring, outdoor thermal environment monitoring, construction safety monitoring, and HVAC equipment monitoring.
Computer Vision and AI for Indoor/Outdoor Thermal Environments, Construction Safety, and HVAC Equipment Monitoring explores non-contact measurement techniques relevant to the field of indoor human information and their applications in on-demand regulation of HVAC systems in sleep and office scenarios. It explores the application of CV technologies and machine learning algorithms in the field of outdoor environment monitoring, such as urban thermal environment improvement and building construction safety management. The book also covers HVAC equipment monitoring with CV technologies, including the use of visible and infrared images to detect heat pump frost and heat exchanger condensation. Finally, the authors address emerging technologies in indoor human information monitoring, outdoor environment monitoring, and HVAC equipment monitoring as well as their applications.
This book is intended for researchers in computer science and image processing. It will also be useful to researchers in building environment as well as HVAC equipment maintenance.
Sommario
1. Introduction. 2. Non-contact Measurement Method of Indoor Personnel Information. 3. Sleep State Monitoring and Environment Regulation. 4. On-Demand Regulation for Indoor Thermal Environment. 5. Outdoor Thermal Environmental Monitoring. 6. Building Construction Safety Monitoring. 7. HVAC Equipment Monitoring. 8. Summary and Outlook.
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Bin Yang is the Dean of the School of Energy and Safety Engineering at Tianjin Chengjian University, China, as well as a professor and a doctoral supervisor. His main research interests include ventilation airflow organization and intelligent building sensing and control technology. He has published more than 100 academic papers and has received several awards, such as the National Outstanding Youth of HVAC and the EU Young Scientist Award.
Zhihan Lyu is an Associate Professor at the Department of Game Design, Uppsala University, Sweden. He is a Senior Member of IEEE and received a joint Ph.D. degree in computer science from Paris University and the Ocean University of China. He has authored or coauthored more than 300 papers, including more than 120 papers on IEEE/ACM Transactions. He is also a British Computer Society Fellow, ACM Distinguished Speaker, and Marie Sk¿odowska-Curie Fellow.
Xiaogang Cheng is an Associate Professor at Nanjing University of Posts and Telecommunications, China and the director of the Institute of Flexible Intelligence, mainly engaged in the research of computer vision and its applications. He studied computer vision at KTH and ETH Zurich, Switzerland. Dr. Cheng has been selected as one of the provincial "Hundred Talents Program" and "Nanjing Public Security Science and Technology Innovation Leaders". He was also awarded the Third Prize for Science and Technology by the Ministry of Public Security of China.
Yihang Liu is a Ph.D. candidate at Tianjin University, China. Her research interest is the study of occupant-centric control strategies for ventilation and air conditioning systems based on computer vision, including sleep and office environments. She has won two national scholarships and five national competition awards and participated in the writing of two English academic monographs.
