Zhenzhong Hu

    He received 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.
  • 2022-11-29

    2022-11-29

    Localization and topological observability analysis of a moored floating structure using mooring line tension measurements have been published online at Ocean Engineering.

    Mooring is a widely used stationkeeping approach for floating structures. The main contribution of this paper is to propose a novel localization scheme, which provides additional real-time position references and estimates the unknown anchor positions to a moored structure simultaneously using tension measurements from the mooring monitoring system. The proposed method enhances the safety of moored floating structures by extracting redundant position information from tension measurements instead of using satellite signals. A line-of-sight model that transforms tension measurements into range signals is developed. Fairleads, turret dynamics, and slow-varying current profiles are considered to provide a more realistic and robust tension-based localization scheme than early research. A distance-only sensor network is constructed, and graph rigidity theory is applied to analyze its topological observability. Two simplified models are presented for some specific applications: (1) to find the broken anchors offline with stored data for any vessels equipped with tension cells and (2) to position the moored structures with known anchor positions. Sensitivity studies show that the influence of unknown surface current is small, while the effects of unknown current profiles are larger. The positioning accuracy can be improved by increasing the number of virtual vessels.

    Note: Ocean Engineerin belongs to the top of the field of engineering and technology magazine, with a 2022 impact factor of 4.372.

  • 2022-11-11

    2022-11-11

    A hybrid data mining approach on BIM-based building operation and maintenance has been cited more than 100 times.

    Huge amounts of data are generated daily during the operation and maintenance(O&M)phase of buildings. These accumulated data have the potential to provide deep information that can help improve facility management . Building information Model/Modeling(BIM) technology has proven potential in O&M management in some studies, making it possible to store massive data. However, the complex and non-intuitive data records, as well as inaccurate manual inputs, raise difficulties in making full use of information in current O&M. Aiming at the problem that the data format of large buildings in the operation and maintenance period is complex and cannot be fully utilized, this study proposes a set of hybrid data mining methods which can accurately obtain useful information and detect abnormal operation and maintenance records. This paper is one of the first papers to report the application of data mining algorithm on BIM data set and service for large-scale construction operation and maintenance projects. The mixed mining method for operation and maintenance data has strong universality, so it has been widely concerned and cited after publication, including a number of review papers in the top issue of SCI.

    Note: Building and Environment, the top journal in the field of Engineering and Environmental science, has an impact factor of 7.093 at present. The first author of this paper is Peng Yang, a 2015 Master's student in the Department of Civil Engineering of Tsinghua University. I am the corresponding author. 

  • 2022-10-31

    2022-10-31

    Research Prospect of BIM-Based Information Technologies for Engineering Management has been published in the journal Industrial Construction.

    Aiming at the development of information technologies for engineering management, this paper summarized BIM-related research from two aspects: the organization and processing of engineering data as well as the mining and analysis of such data. The research investigated involved the Industry Foundation Classes (IFC) standard, multi-scale information models, model lightweighting technology, and the key steps and typical methods of data mining in the engineering industry. On this basis, the bottleneck problems faced by BIM and information technologies for engineering were analyzed, and three main future development directions were then proposed and discussed: digital twins in the engineering industry, city information models, and knowledge graphs in the engineering industry. This paper is expected to provide a reference for further research and technology application.

    Note: The research results were funded by the National Key R&D Program of China and the National Natural Science Foundation of China.

  • 2022-10-20

    2022-10-20

    Maturity Assessment of Intelligent Construction Management is available online at Buildings.

    In the new era of Construction 4.0, the application of a large number of intelligent information technologies (ITs) and advanced managerial approaches have brought about the rapid development of intelligent construction management (ICM). However, it is still unclear how to assess the maturity of ICM. In this study, a maturity assessment system for ICM was formulated through literature reviews, questionnaires, expert discussions and a case study. A maturity scoring table containing five assessment dimensions and twenty assessment indicators was developed, and corresponding maturity levels and a radar chart of dimensions were designed. A case study of the assessments of two construction enterprises was conducted to validate that the proposed assessment system could be used by construction enterprises to quantitatively assess their ICM maturities and obtain both overall and specific assessment results. This study also proposed practical improvement methods to improve ICM maturities for construction enterprises with different maturity levels. Furthermore, the study also discussed the development direction of ICM at present and in the short-term future, which should be paid more attention to by the construction industry.

    Note: Buildings, a journal in the field of engineering technology, belongs to the SCI journal in Q2, with an impact factor of 3.324 in 2022. The first author of this paper is Chao Lin, a master’s student in our research group. The corresponding author is assistant professor Jia-Rui Lin in the Department of Civil Engineering of Tsinghua University.

  • 2022-08-25

    2022-08-25

    Congratulations to Yuan Shuang, a PhD student from the Department of Civil Engineering of Tsinghua University, and Zhang Yunyi, a postdoc, who successfully passed the dissertation defense.

    Among them, the title of Yuan Shuang's paper is "Collaborative Research on Building, Personnel and Digital Model in Energy Consumption Management", which analyzes and summarizes the collaborative relationship and architecture of building entities, personnel and digital model in the energy consumption management of building operation and maintenance period. Behavior for energy consumption, personnel, environment and operation data such as the design of the standardized data model and data integration method based on BIM, staff behavior detection algorithm is proposed based on ensemble learning, building the human-computer interaction method based on metope touch with collaborative data cleaning methods, and develop the corresponding energy consumption management platform based on the actual engineering data for the inspection method.

    Zhang Yunyi paper titled "construction intelligent Internet of key technology and development", the study put forward the construction engineering technology architecture of Internet of things platform, designs the general structure of iot gateway and three kinds of realization forms, and puts forward the data standardization expression and storage mode, realized the iot data with BIM data fusion and unified management, according to the specific needs of the business, The technical schemes of alarm and equipment linkage, process automation identification, object recognition and positioning and other business scenarios are designed and realized. Combined with the actual engineering project, the proposed method, technology and platform are verified by application.