讲座题目：基于计算机视觉的施工安全管理与基础设施健康监控

英文题目：Computer Vision Aided Construction Safety Management and Civil Infrastructure Health Monitoring

报告人：香港城市大学王明珠助理教授

讲座时间：2024年6月5日（星期三）15:00-1600

讲座地点：所有澳门电子娱乐游戏网站沧海校区致工楼二楼BIM会议室

报告人简介：

王明珠博士目前担任香港城市大学建筑与土木工程系的助理教授。她于2019年获得香港科技大学（HKUST）的博士学位。她曾在伦敦帝国理工学院系统工程与创新中心（CSEI）担任研究助理，并于2021年加入拉夫堡大学，担任建筑、建筑与土木工程学院的施工管理讲师（助理教授），在2024年晋升为高级讲师（副教授）。王明珠老师的研究兴趣包括智能建造、智能基础设施检测与管理、施工安全、计算机视觉与机器学习、建筑信息模型（BIM）、数字孪生和施工机器人。王明珠老师已在相关领域的高排名期刊和会议论文集中发表了多篇论文。她的研究得到了多个资助来源的支持，包括InnovateUK、联合国教科文组织、Skanska和Oval Partnership等。

Dr. Mingzhu Wang is an Assistant Professor at the Department of Architecture and Civil Engineering at City University of Hong Kong. She earned her PhD degree from the Hong Kong University of Science and Technology (HKUST) in 2019. Following her doctoral studies, she worked as a Research Associate at the Centre for Systems Engineering and Innovation (CSEI) at Imperial College London. In 2021, Dr. Wang joined Loughborough University as a Lecturer (Assistant Professor) in Construction Management within the School of Architecture, Building and Civil Engineering and she was promoted to Senior Lecturer (Associate Professor) in 2024. Dr. Wang’s research focus on smart construction, intelligent infrastructure inspection and management, construction safety, computer vision and machine learning, Building Information Modelling (BIM), digital twin, and construction robotics. She has authored and co-authored numerous publications in high-ranking journals and conference proceedings. Her research has received funding from various sources, such as InnovateUK, UNESCO, Skanska and the Oval Partnership.

报告摘要：

The concept of smart cities is being promoted globally to address the challenges of urbanization and enhance the efficiency of city operations and services. A critical component of smart city development is the construction and maintenance of the built environment. However, the construction industry faces significant challenges, including high hazard rates and low productivity, primarily due to inadequate digitalization. The successful application of digital technologies and advanced computing methods in various industries demonstrates their potential to address these challenges in construction. This talk will focus on the development of computer vision techniques for construction safety management and civil infrastructure inspection and monitoring.

The talk will begin with research on monitoring onsite workers, construction equipment, and their interactions using data fusion and deep learning techniques. This segment will cover the detection and tracking of onsite entities, the evaluation of their safety compliance, and the prediction of potential safety hazards. Following this, the talk will introduce research on inspecting and assessing various civil infrastructures, such as sewer pipes, bridges, and sidewalks, using visual data. The talk will also discuss our preliminary efforts to address challenges related to data scarcity and varying environmental conditions.

智慧城市的概念正在全球范围内推广，以应对城市化的挑战并提高城市运营和服务的效率。智慧城市发展的一个关键组成部分是建筑环境的建设和维护。然而，建筑行业面临着重大挑战，包括高危害率和低生产力，主要原因在于数字化不足。各种行业中数字技术和先进计算方法的成功应用展示了它们在解决建筑行业这些挑战方面的潜力。这次演讲将重点介绍计算机视觉技术在建筑安全管理和土木基础设施检测与监测中的发展。

演讲将首先介绍关于利用数据融合和深度学习技术对现场工人、建筑设备及其相互作用进行监测的研究。这一部分将涵盖现场实体的检测和跟踪、安全合规性的评估以及潜在安全隐患的预测。接下来，演讲将介绍利用视觉数据对各种土木基础设施（如下水道、桥梁和人行道）进行检测和评估的研究。演讲还将讨论我们在应对数据稀缺和环境条件变化相关挑战方面的初步努力。