题目：建设管理中的可视化监控和评估分析
Visual Sensing and Analysisin Construction
时间：2021年11月05日周五10：00－11：00
地点：腾讯会议 ID：42265298356
腾讯直播间：https://meeting.tencent.com/l/QALGLWoVMAcS
报告人：Zhenhua Zhu（威斯康辛大学麦迪逊分校，土木与环境工程系）
欢迎广大师生参加！
土木与交通学院
2021年10月29日
报告人简介：
Zhenhua Zhu，是美国威斯康辛大学麦迪逊分校土木与环境工程系建筑工程与管理系助理教授。他的冠名教授职位是由M.A.Mortenson建筑公司捐赠，该公司长期位居美国建筑行业前15强。朱教授分别于2002年与2006年在浙江大学获得土木工程学士学位、计算机科学与技术硕士学位。2011于美国佐治亚理工学院获得土木工程博士学位，2011年至2016年在加拿大蒙特利尔康考迪亚大学担任助理教授，2016年至2019年担任副教授。朱教授是加拿大安大略省的注册专业工程师，研究方向包括建筑视觉传感和分析、数字建模、自动化建造和机器人技术。曾获得2013年美国土木工程师学会Collingwood奖和 2009 年建筑研究大会最佳论文奖。
Dr. Zhenhua Zhu is currently an Assistant Professor of Construction Engineering and Management in the Department of Civil and Environmental Engineering at the University of Wisconsin - Madison. His professorship is endowed by M.A. Mortenson Construction Company, which consistently ranks in the top-15 construction companies in the U.S. Dr. Zhu received his bachelor’s degree in Civil Engineering in 2002 and master’s degree in Computer Science and Technology in 2006. Both are from Zhejiang University, China. In 2011, he obtained his Ph.D. in Civil Engineering from Georgia Institute of Technology, USA, and then worked in Concordia University, Montreal, Canada, as Assistant Professor from 2011 to 2016 and Associate Professor from 2016 to 2019. Dr. Zhu is a registered Professional Engineer in the Province of Ontario, Canada. His research interests include visual sensing and analysis in construction, digital modeling, construction automation and robotics. He is the recipient of the 2013 ASCE Collingwood Prize and the Best Paper Award at the 2009 Construction Research Congress.
报告摘要：
建筑项目的成功需要综合考虑质量、成本、进度、安全等多方面性能，方能达到预期建设目标。因此，我们有必要准确及时地评估建造过程中的工程性能。当检测到项目出现问题时，就可以快速进行调整，确保其始终保持常规运行。然而，目前的建造性能评估在很大程度上取决于项目所有者、承包商或分包商在现场手动观察和记录。这种方式既耗时又容易出错，且不能持续地为建造任务和项目级别提供有效的性能评估。为了解决这些问题，本讲座将探讨利用视觉传感和分析技术来改进项目性能评估的可行性。讲座将介绍并探讨几个由朱教授主持的研究项目，其中包括：1) 用于快速建立安全性能评估的混凝土柱识别和裂缝检测技术；2) 建筑环境与室内环境的3D建模；3) 用于评估项目挣值并提高施工人员安全性的施工现场视频监控。结果表明，视觉传感和分析技术提供了一种有效的方式来捕获现场信息且优化了多项建筑工程和管理任务。
The success of a construction project requires its performance in terms of quality, cost, schedule, safety, etc. to meet its planned expectations. Therefore, it is necessary to accurately and timely measure the project performance along the construction progress. When problems are detected, the adjustments could be made quickly to ensure that the project is always on the right track. However, the current practices for construction performance measurements heavily depend on manual field observations and recordings by project owners, contractors, and/or subcontractors. They are time-consuming, error-prone, and not always available to provide the effective performance measures at both construction task and project levels. To address these issues, this presentation investigates the feasibility of improving the project performance measurements with the support of visual sensing and analysis technologies. Several research projects conducted by the presenter will be introduced and discussed. These projects include 1) concrete column recognition and crack detection for rapid building safety evaluation; 2) 3D modeling of built and indoor environments; and 3) video-based construction site monitoring for measuring project earned values and improving construction worker safety. The results indicate that the visual sensing and analysis technologies provide an effective way to capture onsite information and facilitate multiple construction engineering and management tasks.
