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 |
Risk Management in BIM Projects |
Report |
06/2019 |
CHEUNG Kai Sum Hudson Shane Syen Ee KOK |
Building Information Modeling (BIM) is claimed to be as the future trend of the Architectural, Engineering and Construction (AEC) industry and a way to address the issues of AEC. A BIM model can be adopted in different stages of project’s life circle and result in better quality, but less time and cost consumed. Although quality, cost and time are improved by adopting BIM, risk is one of the critical problems in the adoption of BIM. This study is based on conducted surveys and literature research. In this study, risk factors related to BIM adoption were identified and prioritized based on the results of a questionnaire survey distributed to architects, engineering consultants, academics, and construction companies in the AEC industry, followed by a series of discussion on the major risk factors to provide better understanding. The sources were analyzed and used to explain and identify the main risk of BIM related issues. 14 sub-factors of legal risk will be studied and gathered into four big divisions. |
N.A. |
HKUST |
Incorporating Project Management Techniques in BIM Projects |
Report |
06/2019 |
Ziwei YU Luo Yanfang |
In order to manage a project seamlessly, there is a need to establish effective communication between different departments and identify the risks in the project, determine the affected or influencing stakeholders, provide timely resources and logistics, and manage the available resources to make a framework for project implementation. There are several standards and one of the most recognized standards is the Project Management Knowledge Facility (PMBOK). PMBOK is not just a guideline and a methodology for project management, but also can help projects for professional, targeted and comprehensive management. Building Information Modeling (BIM), a project management methodology has been adopted in recent years to design a project integrated as a 3-D information model, which adds all project information in the various phases of the project to a 3-D information model. For a correct BIM implementation in a project, BIM must be integrated into the overall management of the project and must have a BIM Execution Plan (BEP) adapted to the needs of the client and which in turn is integrated into the project management plan. To review BIM/BEP and project management comprehensively, this research consists of three main stages: (1) select of target database examining both academic and applied publications to analyses the situation between BIM/BEP and PMBOK; (2) conducts two surveys about “BIM/BEP with PMBOK” and “BIM project with Risk Management” to have deep understanding of the industry status; (3)select integration, stakeholder and risk management as specific aspects to analyze, and develop a preliminary framework of process guide for BEP. |
N.A. |
HKUST |
Rebar Design Optimization and Prefabrication Automation Leveraging BIM Technology |
Report |
06/2020 |
Tobias Cheuk Toa CHEUNG |
Steel reinforced concrete building structure is very common among Hong Kong. Cost estimation is an important part during the preparation process for a construction project. Nowadays in Hong Kong, the contractor use lots of time in this stage while some mistake may occur as the process is done manually. To reduce error and shorten cost estimation time, design optimization and prefabrication automation leveraging should be considered. This project aims to complete the two objectives by using Building Information Modeling and Dynamo. After the design, the moment envelope generated by ETABS should be extract and input for designing the structural components. When the design of structural component, coding in Dynamo should be able to calculate the construction cost estimation for the building. Construction joint, continuity of rebar and the matching of rebar should be considered and build a bar bending schedule.
This project will go through the reviewing of site solution for solving some common problems. After that, some algorithm will be review to check whether it suitable for solving the problem mathematically. At last, application of graph theory in python 3 is finished and full bin packing algorithm in python is finished for rebar matching to reduce material cost. Suggestion will be made for further study in this project. |
N.A. |
HKUST |
BIM Model Reconstruction and Checking Using 3D Laser Scanning and Machine Learning Techniques |
Report |
06/2020 |
LEI Ian Wang IEONG Kuan Pui |
In this project, the semantic segmentation performance of the deep learning model PointNet on Mechanical, electrical and Plumbing (MEP) is studied. Then, data of different similarity is used to test the model and the experiment of the mechanism of PointNet is conduct. Moreover, this project aims to evaluate the feasibility of generating a generalized model for semantic segmentation of MEP based on our own MEP point cloud data. On the other hand, the data preprocessing procedure is introduced. Finally, discussion about the result and conclusion are made. |
N.A. |
HKUST |
As-built BIM Model Verification Through Field Inspection and Laser Scanning: A Comparative Study |
Report |
06/2020 |
HUANG, Cong ZHOU Haoran LIU Hao |
BIM model is a prerequisite for the Operation and Maintenance (O&M) of sustainable buildings. Only after having a reliable BIM model can start O&M related work, such as space management and energy management, all these works needs to confirm the accuracy of the BIM model. In this project, the author conducted a verify of the BIM model to ensure that the model was correct before the O&M work started. This project first compared various survey methods, and based on their advantages and disadvantages, chose the laser scanning method and manual survey method for experiments. Then using two selected methods to do site surveying for HUKUST parking lot and LTK to SENG Commons. And the end, given survey recommendations for different types of as-built model verification based on the survey result. |
N.A. |