Application of computer vision technologies in collecting HVAC control signals
编号:367 访问权限:仅限参会人 更新:2022-05-13 11:34:38 浏览:922次 特邀报告

报告开始:2022年05月26日 17:10(Asia/Shanghai)

报告时间:20min

所在会场:[S11] Green and low-carbon technology for urban and rural construction [S11-1] Green and low-carbon technology for urban and rural construction-1

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摘要
ABSTRACT: Human centered design and operation are widely used in smart buildings. In the control loop, computer vision technologies can achieve the purpose of real time monitoring and identifying occupant related information, such as personnel positioning, occupied/unoccupied spaces, hot/cold conditions. In recent years, computer vision/ video image processing technologies have been developed rapidly, which paves the way for real time non-contact monitoring. Based on relevant research achievements in the past five to ten years, systematically reviews research results and their robustness (pros and cons) of computer vision/video image processing technologies in identifying occupant’s behavior, catching hot/cold poses, monitoring physiological parameters, etc. Envisages applications in demand-controlled ventilation, individual environment control, and sleep environment monitoring.
 
关键词
computer vision; video image processing; occupant behavior; hot/cold poses; physiological parameter; smart building
报告人
Bin YANG
Tianjin Chengjian University

Dr. Bin Yang is the Professor and school Dean in Tianjin Chengjian University. He got his joint PhD degree 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 built environments, building energy efficiency and smart buildings. He did his Post-doctoral research in University of California Berkeley (UCB) and was a tenured professor in Umeå University in Sweden before he came back China under the support of “National Major Talent Plan”. He obtained several awards such as 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 is the journal associate chief editor of “Frontiers in Indoor Environment”, and editor of “Indoor and Built Environment” and “Internet of Things and Cyber-Physical Systems”.

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重要日期
  • 会议日期

    05月26日

    2022

    05月27日

    2022

  • 05月03日 2022

    初稿截稿日期

  • 05月26日 2022

    报告提交截止日期

  • 05月28日 2022

    注册截止日期

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中国矿业大学
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