Zhenzhong Hu

    He recieved both his BE and PhD degree in the Department of Civil Engineering at Tsinghua University, China. He was a visiting researcher in Carnegie Mellon University.
    He is now the associate professor in Shenzhen International Graduate School, Tsinghua University, and also the secretary general of the BIM Specialty Committee of the China Graphics Society.
    His research interests include information technologies in civil and marine engineering, building information modeling (BIM) and digital disaster prevention and mitigation.
  • 2021-06-24

    On June 23, President Li Lei and Dr. Huang Chaojun visited our hospital. They are all members of  the Institution for Merchants Industrial Ocean Equipment. I participated in the exchange discussion with Professor Wang Xiaohao, Executive Vice President, Professor Chen Daoyi, Assistant Dean, Associate Professor Yan Kai.

    Institution for Ocean Engineering (IOE) and Institution for Merchants industrial Ocean Equipment on short-term development planning and focus areas, to conduct a more in-depth understanding, and explore future cooperation opportunities.

  • 2021-06-22

    In order to promote domestic undergraduate students' understanding of Tsinghua Shenzhen International Graduate School, the institution for Ocean Engineering (IOE) 2022 Admission Seminar will be held on the morning of June 26, 2021 (Saturday).

    At the same time, IOE 2021 Excellent College Students Summer Camp is opening for registration. The summer camp mainly includes four subjects, including civil and hydraulic engineering, resources and environment (Marine direction), electronic information (Marine direction) and energy and power (Marine energy engineering). The purpose of this activity is to improve the understanding of outstanding domestic college students about the relevant disciplines IOE, and conduct preliminary recruitment for the acceptance of the recommended graduate students of 2022 grade.

    See link for details:  https://mp.weixin.qq.com/s/uH5uaSnMpRdlS3UtVA7Bfg.

  • 2021-06-08

    "Marine Environmental Information Modeling System" has obtained the computer software copyright registration certificate (Registration Number: 2021SR0772916).

    This system is mainly for all kinds of personnel related to the ocean field, and it provides a platform for browsing and querying a variety of marine atmosphere, wave and  other environmental information data. Through this system, users can browse the global distribution of environmental data through three-dimensional interaction, and get an intuitive understanding of the changing trend of marine environment. Users can also query environmental data for any location directly, which reduces the threshold of marine environmental information data retrieval and reading. The system is mainly composed of data management module, 3D graphics processing module and user interface module. The Data management module extracts and manages the required environmental information Data from NetCDF (Network Common Data Form) files; The 3D graphic processing module controls the generation of 3D earth and the visualiazation of environmental data; The user interface module is used to process the mouse, keyboard and other user input, and carry out the final display of 3D graphics.

  • 2021-06-07

    "Wind Environment and Pollutant Dispersion Simulation System For Building Groups" has obtained the computer software copyright registration certificate (Registration Number: 2021SR0772915).

    This system is oriented to architectural design, operation and maintenance personnel, and provides a platform for initiating and executing simulation of wind environment and pollutant diffusion of building groups, as well as viewing simulation results. Through this system, users can simulate the wind environment and pollutant diffusion of building groups interactively, without paying attention to the specific details of data acquisition and numerical calculation, thus reducing the technical threshold of wind environment and pollutant diffusion simulation of building groups, and improving the information level of architectural design, operation and maintenance. The system consists of three modules: data management, analog computation and front-end interaction. Based on B/S structure, the system deploys heavy analog computing tasks to the server, which reduces the demand for computing power of the client. And the data management module is based on geographic information system (GIS) technology, which can automatically extract, integrate and store the data needed for wind environment and pollutant diffusion analysis. Based on the mesoscale meteorological model (MMM) and computational fluid dynamics (CFD) model, the simulation module realizes the automatic initiation, parameter optimization and task scheduling of simulation tasks. The front-end interaction module interacts with users through the Web and provides the result visualization function.

  • 2021-04-12

    "Knowledge Extraction and Discovery Based on BIM: A Critical Review and Future Directions" has been published in Archives of Computational Methods in Engineering.

    The production activities of the Architecture, Engineering and Construction (AEC) industry are inseparable from the support of accumulated experience and knowledge. In addition to concluding from engineering practices, many studies also try to apply knowledge engineering technologies to extract industry knowledge and store it in documents and databases. In recent years, BIM has been popularized and applied in the AEC industry as an ideal medium for extracting, exchanging and managing building data. In particular, BIM also shows great potential in knowledge acquisition and management of the AEC industry. This paper conducts a comprehensive survey on the research of knowledge engineering based on BIM, and reviews related studies from the following five aspects: (1) knowledge description; (2) knowledge discovery; (3) knowledge storage and management; (4) knowledge inference; (5) knowledge application.

    The review indicates that BIM is capable of providing information for knowledge discovery and providing a platform for knowledge integration and application by adopting knowledge engineering techniques such as ontology, semantic web and data mining. This paper also reveals the potential value of knowledge in the AEC industry, but at present the management and application of knowledge is still at the beginning stage. In the future, BIM is expected to be deeply integrated with knowledge engineering to build a knowledge-driven system for building design, construction, and operation and maintenance, and lay a solid foundation for intelligent buildings and infrastructures.