FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong

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Institution Title Type Date Author(s) Abstract Link
HKUST Developing an Integrated Location-based Collaborative Building Information Modeling Framework for Building Facility Management FYP 06/2018 LEUNG, Tsz Fung
MAN, Tsz Lok
This project reviews some of the existing Indoor positioning system (IPS) and finds that Wi-Fi would be a suitable choice to be incorporated with Building Information Modelling (BIM) for the purpose of facility management. Indoor localization and finding of the shortest path are two major aspects which could combine with facility management and this project is going to investigate into them.

As Wi-Fi positioning is controlled by some factors like k-means clustering and the number of fingerprints, an experiment was conducted to see how these factors would affect the accuracy of indoor localization. The result would be discussed also. In an experiment of finding the shortest path, visibility graph and Dijkstra algorithm are two techniques used for path-generation and path-finding respectively. They would be written as codes and implemented into a mobile App. The App would be the product to test the above experiments and East Point City, which is a shopping mall, would be the chosen for the field test.

The simulation of the interaction between building management system and pathfinding system android devices was carried out successfully, which reveals the high possibility of the application of BIM on indoor navigation system for the purpose of facility management, which could potential enhance human productivity.
N.A.
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 Analysis and Evaluation of Indoor Ventilation and Energy Consumption Using Building Information Modeling FYP 06/2017 TSANG, Wing Sum
WONG, Long Yee Mary
YIP, Shing
This project used Building Information Modeling (BIM) and BIM compatible software, Computational Fluid Dynamic (CFD), to analyze the indoor environmental quality of current UG Hall VII building in HKUST under mechanical and natural ventilation. The results obtained from the software analysis were used for evaluating the indoor environment with green building standard BEAM Plus EB Ver. 2 Selective Scheme. Indoor environmental quality analysis and energy analysis on different air-conditioner usage scenarios and modified air-conditioning system were also conducted to investigate whether any modifications could give rise to indoor environment that able to reach BEAM Plus standard while reducing energy consumption. We founded that opening one air-conditioner, with temperature set as 24℃, in only one bedroom in a suite could achieve favourable indoor environment while reducing half of the energy usage on cooling. Also, changing the air-conditioning system from window-type air-conditioners to centralized system could also lower energy consumption on cooling while keeping a comfortable indoor environment. N.A.
HKUST Analysis and Evaluation of Indoor Ventilation and Energy Consumption Using Building Information Modeling Report 06/2017 SONG Wenyi
Qiushi WANG
This project used Building Information Modeling (BIM) and BIM compatible software, Computational Fluid Dynamic (CFD), to analyze the indoor environmental quality of the current UG Hall VII building in HKUST under mechanical and natural ventilation. The results obtained from the software analysis were used for evaluating the indoor environment with green building standard BEAM Plus EB Ver. 2 Selective Scheme. Indoor environmental quality analysis and energy analysis on different air-conditioner usage scenarios and modified air-conditioning system were also conducted to investigate whether any modifications could give rise to the indoor environment that able to reach BEAM Plus standard while reducing energy consumption. We founded that turning on one air-conditioner in only one bedroom in a suite could achieve favourable indoor environment while reducing half of the energy usage on cooling. Also, changing the air-conditioning system from window-type air-conditioners to centralized system could also lower energy consumption on cooling while keeping a comfortable indoor environment. N.A.
HKUST An integrated underground utility management and decision support based on BIM and GIS Journal 08/2019 Wang, M., Deng, Y., Won, J., and Cheng, J.C.P. This study aims to improve the underground utility management efficiency from the perspective of utility component and urban utility network, as well as to facilitate the decision-making for utility maintenance work. The main reasons for the inefficient information sharing, poor utility management and reactive decision-making are investigated, after which potential solutions are explored. An integrated utility management framework is proposed based on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS), for which a common utility data model representing utility information in five aspects is developed to facilitate the mapping of Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML). The verification of the proposed framework indicates that the developed data model can represent utility information comprehensively, based on which functions of the integrated BIM-GIS platform are developed to support underground utility management in terms of individual utility components and the utility spatial networks. With the proposed utility management framework, the information sharing process, utility management efficiency and decision-making can be improved and facilitated. In the future, more functions of the framework will be developed according to practical requirements and more maintenance data will be utilized to validate and enhance the framework. Link
HKUST Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM Journal 09/2016 Kim, M.-K., Wang, Q., Park, J.-W., Cheng, J.C.P., Chang, C.-C., and Sohn, H. This study presents a quality inspection technique for full-scale precast concrete elements using laser scanning and building information modeling (BIM). In today's construction industry, there is an increasing demand for modularization of prefabricated components and control of their dimensional quality during the fabrication and assembly stages. To meet these needs, this study develops a non-contact dimensional quality assurance (DQA) technique that automatically and precisely assesses the key quality criteria of full-scale precast concrete elements. First, a new coordinate transformation algorithm is developed taking into account the scales and complexities of real precast slabs so that the DQA technique can be fully automated. Second, a geometry matching method based on the Principal Component Analysis (PCA), which relates the as-built model constructed from the point cloud data to the corresponding as-designed BIM model, is utilized for precise dimension estimations of the actual precast slab. Third, an edge and corner extraction algorithm is advanced to tackle issues encountered in unexpected conditions, i.e. large incident angles and external steel bars being located near the edge of precast concrete elements. Lastly, a BIM-assisted storage and delivery approach for the obtained DQA data is proposed so that all relevant project stakeholders can share and update DQA data through the manufacture and assembly stages of the project. The applicability of the proposed DQA technique is validated through field tests on two full-scale precast slabs, and the associated implementation issues are discussed. Field test results reveal that the proposed DQA technique can achieve a measurement accuracy of around 3.0 mm for dimension and position estimations. Link