胡振中
副教授,博士生导师
学科领域:土木与海洋工程信息技术、数字孪生、建筑与城市信息模型(BIM/CIM)和数字防灾技术
邮 箱: hu.zhenzhong@sz.tsinghua.edu.cn
个人网站: http://www.huzhenzhong.net
地 址: 广东省深圳市西丽大学城清华园区海洋大楼702-3
个人简历
教学
研究领域
研究成果
奖励荣誉
教育
2005年-2009年,博士生,清华大学土木工程系
2001年-2005年,本科生,清华大学土木工程系
工作经历
2021年-至今, 副教授,清华大学深圳国际研究生院
2012年-2021年,副教授,清华大学土木工程系
2011年-2012年,讲师,清华大学土木工程系
2009年-2011年,博士后,清华大学深圳国际研究生院
学术兼职
●中国图学学会理事
●中国图学学会BIM专业委员会副主任委员
●Automation in Construction(领域顶刊)、Sustainability(JCR Q2)、Advances in Civil Engineering(JCR Q3)、《图学学报》编委会成员
●CIB W78国际学术年会国际学术委员会委员
●《Expert Systems with Applications》、《Energy and Buildings》、《Developments in the Built Environment》、《Building and Environment》、《Journal of Building Engineering》等期刊评阅人
教学课程
●《工程硕士数学》,研究生学位课程(公共基础课)
●《土木与建筑工程CAE》,研究生学位课程
硕士和博士指导
独立指导博士生3名、硕士研究生14名(其中7名已毕业)
研究方向
土木与海洋工程信息技术、数字孪生、建筑与城市信息模型(BIM/CIM)、数字海洋和数字防灾技术
科研项目
作为负责人,承担国家项目9项(含国家科学基金项目3项、科技部子项目3项等)、企事业单位咨询项目10余项,包括(部分):
“基于GIS/BIM的轻量化平台框架与接口技术”,国家重点研发计划子课题,2018/12 - 2022/12。
“基于能耗监测系统的建筑及其机电系统标准化大数据提取技术研究”,国家重点研发计划子课题,2017/07 - 2020/06。
“信息驱动下既有建筑物/群多尺度性能模拟与分析技术研究”,国家自然科学基金面上,2018/01 - 2021/12。
“基于 BIM 的大型公共建筑运维期安全管理技术研究”,国家自然科学基金面上,2015/01 - 2018/12。
“基于全生命期绿色住宅产品化数字运营管理技术研究”,国家863项目子课题,2013/10 - 2016/09。
“面向设计和施工期的建筑物时变结构安全性能的4D模拟和分析”,国家自然科学青年基金项目,2011/01-2013/12。
“基于中江高速公路改扩建项目的安全数据标准体系建设及应用研究”,企业委托项目,2021/11-2023/10。
“车陂路--新滘东路隧道工程(黄埔大道至新港东路)基于BIM技术的隧道工程精细化设计与施工研究”,企业委托项目,2017/10-2018/08。
“轨道交通BIM管理平台研究与开发”,企业委托项目,2014/12-2017/12。
“建筑信息模型(BIM)联合研究中心一期项目”,企业委托项目,2013/07-2016/07。
学术论文(部分)
[1]Wu, L.T., Lin, J.R., Leng, S., Li, J.L., Hu, Z.Z. Rule-based information extraction for mechanical-electrical-plumbing-specific semantic web[J]. Automation in Construction, 2021, 135:104108.
[2]Liu, Y., Guo, X.Q., Li, S.W., Zhang, J.M., Hu, Z.Z. Discharge of treated Fukushima nuclear accident contaminated water: macroscopic and microscopic simulations[J]. National Science Review, 2022, 9(1): nwab209.
[3]Leng, S., Lin, J.R., Li, S.W., Hu, Z.Z. A Data Integration and Simplification Framework for Improving Site Planning and Building Design[J]. IEEE Access, 2021(9): 148845-148861.
[4]Zhou, Y.C., Hu, Z.Z., Yan, K.X., Lin, J.R. Deep Learning-Based Instance Segmentation for Indoor Fire Load Recognition[J]. IEEE Access, 2021(9): 148771-148782.
[5]Hu, Z.Z., Leng, S., Lin, J.R., Li, S.W., Xiao, Y.Q. Knowledge Extraction and Discovery Based on BIM: A Critical Review and Future Directions[J]. Archives of Computational Methods in Engineering, 2021: 1-22.
[6]Zhang, Y.Y., Hu, Z.Z., Lin, J.R., Zhang, J.P. Linking data model and formula to automate KPI calculation for building performance benchmarking[J]. Energy Reports, 2021, 7, 1326-1337.
[7]Yuan, S., Hu, Z.Z., Lin, J.R., Zhang, Y.Y. A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data[J]. Sensors, 2021, 21(4): 1395.
[8]Lin, J.R., Hu, Z.Z., Li, J.L., Chen, L.M. Understanding On-Site Inspection of Construction Projects Based on Keyword Extraction and Topic Modeling[J]. IEEE Access, 2020, 8: 198503-198517.
[9]Li, W., Li, J., Hu, Z.Z., Li, S.W., Chan, P.W. A Novel Probabilistic Approach to Optimize Stand-Alone Hybrid Wind-Photovoltaic Renewable Energy System[J]. Energies, 2020, 13(18): 4945.
[10]Leng, S., Lin, J.R., Hu, Z.Z., Shen, X. A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data From Tunnel Boring Machines[J]. IEEE Access, 2020, 8: 90430-90449.
[11]Liu, M.L., Chen, X.S., Hu, Z.Z., Liu, S.Y. Active Earth Pressure of Limited C-φ Soil Based on Improved Soil Arching Effect[J]. Applied Sciences-Basel, 2020, 10(9), 3243.
[12]Li, W., Hu, Z.Z., Pei, Z.N., Li, S.W., Chan, P.W. A discussion on influences of turbulent diffusivity and surface drag parameterizations using a linear model of the tropical cyclone boundary layer wind field[J]. Atmospheric Research, 2020, 237, 104847.
[13]Wen, Q., Zhang, J.P., Hu, Z.Z., Xiang, X.S., Shi, T. A Data-Driven Approach to Improve the Operation and Maintenance Management of Large Public Buildings[J]. IEEE Access, 2019, 7: 176127-176140.
[14]Hu, Z.Z., Yuan, S., Benghi, C., Zhang, J.P., Zhang, X.Y., Li, D., Kassem, M. Geometric optimization of building information models in MEP projects:Algorithms and techniques for improving storage, transmission and display[J]. Automation in Construction, 2019, 107, 102941.
[15]Zhou, Y.W., Hu, Z.Z., Lin, J.R., Zhang, J.P. A Review on 3D Spatial Data Analytics for Building Information Models[J]. Archives of Computational Methods in Engineering, 2019, 27, 5, 1449-1463.
[16]Peng, Y., Li, S.W., Hu, Z.Z. A Self-Learning Dynamic Path Planning Method for Evacuation in Large Public Buildings Based on Neural Networks[J]. NeuroComputing, 2019, 365C: 71-85.
[17]Xiao, Y.Q., Li, S.W., Hu, Z.Z. Automatically Generating a MEP Logic Chain from Building Information Models with Identification Rules[J]. Applied Sciences-Basel, 2019, 9(11), 2204.
[18]Lin, J.R., Zhang, J.P., Zhang, X.Y., Hu, Z.Z. Automating closed-loop structural safety management for bridge construction through multisource data integration[J]. Advances in Engineering Software, 2019, 128: 152-168.
[19]Hu, Z.Z., Tian, P.L., Li, S.W., Zhang J.P. BIM-based integrated delivery technologies for intelligent MEP management in the operation and maintenance phase[J]. Advances in Engineering Software. 2018, 115: 1-16.
[20]Weerasuriya, A.U., Hu, Z.Z., Zhang, X.L., Tse, K.T., Li, S., Chan, P.W. New inflow boundary conditions for modeling twisted wind profiles in CFD simulation for evaluating the pedestrian-level wind field near an isolated building[J]. Building and Environment. 2018, 132: 303-318.
[21]Zhou, Y., Hu, Z.Z., Zhang, W.Z. Development and Application of an Industry Foundation Classes-Based Metro Protection Information Model[J]. Mathematical Problems in Engineering, vol. 2018, Article ID 1820631, 20 pages, 2018. 8. https://doi.org/10.1155/2018/1820631.
[22]Peng, Y., Lin, J.R., Zhang, J.P., Hu, Z.Z. A hybrid data mining approach on BIM-based building operation and maintenance[J]. Building and Environment. 2017, 126: 483-495.
[23]Li, S.W., Hu, Z.Z., Chan, P.W., Hu, G. A study on the profile of the turbulence length scale in the near-neutral atmospheric boundary for sea (homogeneous) and hilly land (inhomogeneous) fetches[J]. Journal of Wind Engineering & Industrial Aerodynamics, 2017, 168: 200-210.
[24]Zhang, J.P., Liu, Q., Hu, Z.Z., Lin, J.R., Yu, F.Q. A multi-server information-sharing environment for cross-party collaboration on a private cloud[J]. Automation in Construction, 2017, 81: 180-195.
[25]Hu, Z.Z., Zhang, J.P., Yu, F.Q., Tian, P.L., Xiang, X.S. Construction and facility management of large MEP projects using a multi-Scale building information model[J]. Advances in Engineering Software. 2016, 100: 215-230.
[26]Weerasuriya, A.U., Hu, Z.Z., Li, S.W., Tse, K.T. Wind direction field under the influence of topography, part I: A descriptive model[J]. Wind and Structures. 2016, 22(4): 455-476.
[27]Li, S.W., Hu, Z.Z., Tse, K.T., Weerasuriya, A.U. Wind direction field under the influence of topography, part II: CFD investigations[J]. Wind and Structures. 2016, 22(4): 477-501.
[28]Hu, Z.Z., Zhang, X.Y., Wang, H.W., Kassem, M. Improving interoperability between architectural and structural design models: An industry foundation classes-based approach with web-based tools[J]. Automation in Construction. 2016, 66: 29-42.
[29]Lin, J.R., Hu, Z.Z., Zhang, J.P., Yu, F.Q. A natural-language-based approach to intelligent data retrieval and representation for cloud BIM[J]. Computer-Aided Civil and Infrastructure Engineering. 2016, 31:18–33.
[30]Zhang, J.P., Yu, F.Q., Li, D., Hu, Z.Z. Development and Implementation of an Industry Foundation Classes-Based Graphic Information Model for Virtual Construction[J]. Computer-Aided Civil and Infrastructure Engineering, 2014, 29: 60-74.
[31]Hu, Z.Z., Zhang, J.P. BIM-and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 2. Development and site trials[J]. Automation in Construction, 2011, 20(2): 167-180.
[32]Zhang, J.P., Hu, Z.Z. BIM-and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 1. Principles and methodologies[J]. Automation in construction, 2011, 20(2): 155-166.
[33]张嘉鸿, 冷烁, 胡振中. 面向乡村住宅的数据集成与轻量化技术研究. 土木建筑工程信息技术, 2021.
[34]胡振中, 冷烁, 袁爽. 基于BIM和数据驱动的智能运维管理方法. 清华大学学报(自然科学版), 2021.
[35]冷烁, 李孙伟, 胡振中. 基于开源技术的城市地理信息平台构建方法研究. 图学学报, 2020, 41 (6), 1001-1011.
[36]Wang, HW., Lin, JR., Hu, ZZ. Bibliometric review of visual computing in the construction industry. Visual Computing for Industry, Biomedicine, and Art, 2020, 3 (1), 1-15. (中文)
[37]胡振中, 袁爽. 建筑能耗与环境监测系统标准化数据提取技术. 清华大学学报(自然科学版), 2020, 60(04): 357-364.
[38]文桥, 张建平, 向雪松, 石涛, 胡振中. 基于GIS的大型公共建筑轻量级运维管理平台研发与应用. 图学学报, 2019, 40(4): 751-760.
[39]冷烁, 胡振中. 基于BIM的人工智能方法综述. 图学学报, 2018, 39(5): 797-805.
[40]胡振中, 田佩龙, 李久林. 基于IFC的传感器信息存储与应用研究. 图学学报, 2018, 39(3): 522-529.
出版教材
●《全国BIM技能等级考试试题集》
●《数字化运维》
授权专利
●基于浓度分析的水体污染扩散模拟预测方法和装置(2022)
●基于粒子运动的水体污染扩散模拟预测方法和装置(2022)
●基坑柔性挡墙墙后有限黏性土主被动土压力模型试验装置(2020)
●基于IFC标准的建筑信息模型数据集成与交换引擎装置和方法(2012)
奖励和荣誉
●《基于BIM和人工智能的超大型工程虚拟建造关键技术与应用》,上海市土木工程学会科技进步奖二等奖(2021)
●《基于BIM的建设工程一体化信息集成技术与平台研究》,华夏建设科学技术奖二等奖(2018)
●《北京市中心城区特大型地下生态水厂现代化建造技术研究与应用》,华夏建设科学技术奖三等奖(2018)
●《建筑全生命期BIM信息集成与应用技术研究》,北京市科学技术进步奖三等奖(2018)
●《北京市中心城区大型地下生态水厂现代化建造技术研究与应用》,中施企协科学技术进步奖一等奖(2017)
●《基于自主BIM平台的建筑机电安装工程模块化生产、集成交付及运维技术》,华夏建设科学技术奖二等奖(2015)
●《基于BIM的机电设备智能管理系统》,中国安装协会科学技术进步奖三等奖(2015)
●《北京英特宜家二期机电安装工程—基于BIM的建筑工厂化管理系统》,中国工程建设BIM应用大赛一等奖(2013)
●《嘉里建设广场二期工程——基于BIM的建筑机电智能管理系统》,中国工程建设BIM应用大赛一等奖(2013)
●《基于BIM的机电设备智能管理系统》,中建总公司科学技术奖二等奖(2013)
●《基于BIM的机电设备智能管理系统在嘉里中心II期的应用》,“创新杯”BIM设计大赛最佳拓展应用奖(2012)
●《青岛海湾大桥建设工程项目管理信息系统》,华夏建设科学技术奖一等奖(2010)
●《基于IFC标准的建筑工程4D施工管理系统的研究和应用》,华夏建设科学技术奖一等奖(2010)