Resources
FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong
Institution | Title | Type | Date | Author(s) | Abstract | Link |
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HKUST | Incorporating Project Management Techniques in BIM Projects | Report | 06/2018 | Ping Hon YAU Ziyan LIU Ho Yuen NG Sherman WONG |
Building Information Modelling (BIM) has had a profound effect on the construction industry. It has greatly improved coordination among stakeholders, enhanced productivity, and increased profits. However, risks and hazards are also increasing with the growing complexity and scale of AEC projects, and the adoption of BIM technology will also place barriers and obstacles even though the technology has been proven to show its various benefits throughout the project lifecycle. Firstly, a literature review is conducted to identify risks and benefit of implementing BIM. twenty-one risks are identified and classified into three categories: Technology, Contract, and Project. Secondly, some suggestions for eliminating the increased risks are given. This paper will focus on how to implement risk management in BIM project against the recent technological background, and some related measures of mitigation, such as insurance, will be discussed. | N.A. |
HKUST | Incorporating Project Management Techniques in Building Information Modeling Projects | Report | 06/2017 | Hao WU Vincent Cheuk Hang TSE Chris Ho |
Building information modeling (BIM), which is becoming widely adopted by the construction industry for its superior efficiency and conveniences. However, due to great differences distinguished by conventional project construction process, traditional construction system cannot be perfectly exploited in BIM projects. Therefore, developing adaptive project management techniques are significantly essential to facilitate the BIM project implementation in the future. In this study, contractual framework, project delivery approaches and information management standard are studied. Based on the existing standards and feasible delivery and information exchange methods, comparisons and suggestions are given to improve BIM project management level from both technical and legal perspectives. In addition, potential BIM related claims with case study are also explored in this paper. Refer to the content investigated, some preliminary conclusions and recommendations are given for the purpose to achieve higher BIM project quality. | N.A. |
HKUST | Integrating 4D BIM and GIS for construction supply chain management | Journal | 02/2019 | Deng, Y., Gan, V.J.L., Das, M., Cheng, J.C.P., and Anumba, C.J. | Construction supply chain management (CSCM) requires the tracking of material logistics and construction activities, an integrated platform, and certain coordination mechanisms among CSCM participants. Researchers have suggested the use of building information modeling (BIM) technology to monitor construction activities and manage construction supply chains. However, because material warehousing and deliveries are mostly performed outside construction project sites, project information from a single BIM model is insufficient in meeting the needs of construction supply chain management. In this research, an integrated framework was developed based on four-dimensional (4D) BIM and a geographical information system (GIS) for coordination of construction supply chains between the construction project sites and other project related locations, such as supplier sites and material consolidation centers. The proposed integration was used to solve three common tasks in CSCM, namely (1) supplier selection, (2) determination of number of material deliveries, and (3) allocation of consolidation centers, using information from 4D BIM and GIS. The proposed 4D BIM-GIS framework was demonstrated via case studies. The results of the case studies indicated that determinations of supplier and number of deliveries need to take into account both the transportation distance and material unit price. Mathematical solutions were also generated to support decision making for the allocation of consolidation centers in congested regions with long transportation distances. The outcomes of this paper serve as a decision support base for a more efficient CSCM in the future. | Link |
HKUST | Integrating BIM and Internet of Things for Building Facility Management and Energy Management | Report | 06/2019 | Yaoming HU Bonan Zhang |
This project studies sensor location determination in a complex conference room as a part of Smart HVAC system. It describes the background of HVAC system and how the system can be upgraded as a smart system, automated system, to save energy. The project mainly studies the methodology and uses some factors in IAQ, indoor air quality, to illustrate possible locations for sensor placement. In this project, Autodesk Revit is used to build a BIM model of a conference room. The building of BIM of the room is important since it will reflect the true structural setup of the room. Autodesk CFD is then introduced to run simulations. For CFD simulation, materials and boundary conditions are applied to the model in order to run simulations that can reflect distribution as realistic as possible. In the CFD simulations, some major IAQ factors such as, temperature, air velocity, thermal comfort, CO2, VOC (formaldehyde) and dust (PM 2.5) are predicted in the environment. To analyze the temperature distribution, different numbers of people are introduced to examine the difference of heat distribution due to number of people. Pollutants are examined using assumed values according to average emission values. The goal is not to determine whether or not the room is polluted but the distribution of pollutants inside the room. Eventually, the results of all simulations are collected and analyzed to determine the areas with high density of heat, pollutants where those high concentration areas are the prior locations sensors have to monitor. It is concluded that the simulation of air movement, heat, pollutant distribution, etc. is useful methodology to determine sensor locations. With the sensor placed in correct locations, HVAC system can run with higher efficiency and prevent hazardous environment. | N.A. |
HKUST | Integrating Building Information Modeling and Internet of Things for Building Facility Management | FYP | 06/2019 | CHAN, Sum Chau DWIVEDY, Sampriti |
In Hong Kong’s Smart City Blueprint, promoting ‘Green and Intelligent Buildings, and Energy Efficiency’ is one of the most important initiatives. HKUST, as the leading university in Hong Kong, has been working for years to build a better, smarter and greener campus. Keeping in line with HKUST’s “Sustainable Smart Campus as a Living Lab (SSC)” initiative, this project seeks to enable the Facilities Management Office to make better decisions with respect to balancing the trade-off between human thermal comfort and energy costs. This can be done by optimizing the operational controls of the existing heating, ventilation and air-conditioning systems (HVAC) to the occupancy level of the facility. The research was divided into two case studies, one that focuses on occupancy prediction with the use of machine learning and the other seeks to demonstrate how building information modelling (BIM) and Internet of Things (IoT) can be used to visualize the tradeoff between user thermal comfort and energy costs. This project also discusses a flowchart to integrate the various technologies being suggested. and identifies certain software tools that can be used to assist in the integration process, for instance Autodesk’s Forge. A web-based graphical user interface for an integrated smart facility management system was also constructed in order to provide a direction for future works on this topic. |
N.A. |
HKUST | Integration of BIM and GIS for City Planning | Report | 06/2014 | LI Zhi | With the popularity of 3D digital maps for computers and mobile phones, the development of 3D city models has grown substantially in the last decades. 3D maps can not only support navigation, but also allow people to perform city planning and architectural and engineering designs with the consideration of the surrounding environment. Moreover, many other advanced applications have been studied to be equipped in 3D models, like disaster management, noise and pollutant diffusion analysis and so on. Earliest research on 3D digital city models was in 1990s and now there are about a total number of 1252 3D digital city models worldwide already. Since the early 1990’s, lots of researchers have conducted studies in creation, application and maintenance of 3D city models. The study results indicate that the modeling construction techniques and application exploitability has improved significantly in last decades. However, the level of development of existing models varies widely in view of geographic locality (either city or country), creation time and many other factors. A standardized evaluation framework of the existing 3D city models is still in need. Based on the purpose of setting up an evaluation framework, this review work was conducted. Mainly through literature review and searching on project websites, we collected original sources of more than 70 projects of 3D city models and 23 are chosen for detailed study and analysis. These city models are mainly categorized in four continents (North America, Europe, Asia and Oceania) and in four aspects (model coverage, modeling technology, application and maintenance). To the point, a preliminary model estimation method is created, considering the maturity of five aspects during modeling procedures, i.e. data capturing, data processing, data storing and managing, data presenting and data updating. According to the evaluation framework, city models can be categorized into four maturity levels as 3D GIS as a Scene, 3D GIS as a Service, 3D GIS as an Infrastructure and 3D GIS as a Platform. Finally, based on the analysis results, some limitations of 3D city models in current situation are summarized, and recommendations of possible resolutions are presented correspondingly. |
N.A. |