Autorentext

Dr. Bin Yang is full professor and dean of Energy and Safety Engineering School in Tianjin Chengjian University, China. He got his joint PhD from Technical University of Denmark (DTU) and National University of Singapore (NUS). He got his bachelor and master degree from Tianjin University (China). He is a researcher with more than 20 years research experience in indoor environment quality, energy efficient and smart buildings, and HVAC. He has worked in different countries with world famous research groups such as DTU and University of California Berkeley (UCB). He was a tenured professor in Umeå University, Sweden. He has obtained several awards such as Building and Environment Best Paper Award, REHVA Young Scientist Award, ASHRAE Ralph Nevins Physiology and Human Environment Award, ASHRAE Graduate Grant-in-Aid Award, Chinese Government Award for Outstanding Self-financed Students Abroad, and so on. He has given presentations as one invited speaker several times in globally famous Universities and research institutes such as University of Southern California, Alberta University, Tsinghua University, REHVA, etc. He has more than 200 high quality publications and 40 patents. His published books include "Personal Comfort Systems for Improving Indoor Thermal Comfort and Air Quality" (Springer Publisher) and two Chinese monographs. He is the Stanford/Elsevier Top 2% Scientists (2020-2026).

Dr. Zhihan Lyu (senior member, IEEE) received the joint Ph.D. degree in computer science from Ocean University of China in 2012. He authored or coauthored more than 300 papers, including more than 120 papers on IEEE/ACM Transactions. He is British Computer Society Fellow, ACM Distinguished Speaker, Career-long Scientific Influence Rankings of Stanford's Top 2% Scientists,
Marie Sk odowska-Curie Fellow, Clarivate Highly Cited Researcher, and Elsevier Highly Cited Chinese Researcher. He is Associate Editor for 22 journals, including ACM TOMM, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, and IEEE Transactions on Computational Social Systems. He is Co-Chair or TPC of 50 conferences, including ACM MM 2021-2025 and ACM IUI 2015-2022. He has reviewed 400 papers. He was the recipient of more
than 20 awards from China, Europe, and IEEE. He has given more than 80 invited talks for universities and companies in Europe and China. He has given 20 keynote speeches for international conferences.

Dr. Xiaogang Cheng graduated from Southeast University, Nanjing Tech University, and Nanjing University successively and received Ph.D. degree. He studied computer vision (CV) at the Royal Institute of Technology in Sweden and ETH Zurich. He is currently an associate professor at the School of Communication and Information Engineering of Nanjing University of Posts and Telecommunications, and the director of the Institute of Flexible Intelligence, mainly engaged in the research of CV and its applications. He has been selected as one of the "Hundred Talents Program" at the provincial level and "Nanjing Public Security Science and Technology Innovation Leaders". He has published more than 30 academic papers and 34 authorized patents and was awarded the first prize of Jiangsu Provincial Public SecurityDepartment's Science and Technology Award and the Third Prize for Science and Technology by the Ministry of Public Security of China. He has been selected for the China Postdoctoral International Exchange Program and has been awarded as an excellent supervisor for the open project of Nanjing University of Posts and Telecommunications.

Yihang Liu is a Ph.D. candidate at Tianjin University. 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. The research topic focuses on dynamically adjusting the operational parameters of ventilation and air conditioning systems based on occupants' thermal demand to reduce energy consumption. She has won two national scholarships and five national competition awards, published six journal papers and two conference papers, participated in the writing of two English academic monographs, and participated in one project supported by the National Natural Science Foundation of China and one project supported by the Tianjin Natural Science Foundation.

Klappentext

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 Environment*, 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.

Inhalt

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.