报告题目：专业知识与通识融合的工程管理技术创新

报告人：华南理工大学土木与交通学院罗小春教授

讲座时间：2024年10月29日（星期二）14:00-16:00

讲座地点：深圳大学粤海校区（南区）致理楼L3-418

报告人简介：

罗小春，华南理工大学土木与交通学院教授、博导，工程管理系副主任。2010年博士毕业于香港理工大学建筑及房地产学系，主要研究利用现实捕捉数据与工程知识，开发数据与知识驱动的工程现实计算方法与技术，实现工程管理方式智慧化和建造方式智能化。发表SCI论文50余篇，2015年以第一完成人获得CIOB创新成就优秀奖，一作论文获得ASCE《土木工程计算》杂志2018年唯一最佳论文奖，以及第一完成人获2019瑞士日内瓦第47届国际发明展金奖。

Luo Xiaochun is a Professor and Ph.D. advisor at the School of Civil and Transportation Engineering, South China University of Technology, serving as the Associate Director of the Department of Construction Management. He received his Ph.D. in 2010 from the Department of Building and Real Estate at The Hong Kong Polytechnic University. His primary research focuses on using reality capture data and engineering knowledge to develop data- and knowledge-driven methods and technologies for engineering reality computation, aiming to advance intelligent engineering management and construction methods. He has published over 50 SCI papers and, as the primary contributor, received the CIOB Innovation and Achievement Excellence Award in 2015. His first-author paper won the ASCE Journal of Computing in Civil Engineering's sole Best Paper Award in 2018, and he was awarded the Gold Medal at the 47th International Exhibition of Inventions of Geneva in 2019 as the primary contributor.

报告摘要：

探讨如何将通识知识与专业知识融合，推动工程管理的技术创新。通过大语言模型等先进智能技术，建立一种全面自动化的质量与安全管理模式。这一创新模式将通用知识与工程管理特定领域的深度知识相结合，为工程项目带来智能化、系统化的管理手段，实现更高的效率和精准度，提升建筑业的质量与安全水平。

Explore how integrating general knowledge with specialized expertise can drive technological innovation in engineering management. By leveraging advanced intelligent technologies, such as large language models, it aims to establish a fully automated quality and safety management system. This innovative approach combines general knowledge with in-depth, domain-specific engineering management insights, offering intelligent and systematic management tools for engineering projects. The result is enhanced efficiency and precision, ultimately raising quality and safety standards within the construction industry.