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Chen, S (2013) Improving value for money in public-private partnership infrastructure projects, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Chen, W (2019) Integration of building information modeling and internet of things for facility maintenance management, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

  • Type: Thesis
  • Keywords: culture; human behaviour; measurement; motivation; private sector; sustainability; government; sustainable construction; sustainable development; consultant; developer; professional; Hong Kong; case studies; interview
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2685061014
  • Abstract:
    Facility management (FM) accounts for more than two thirds of the total cost of the whole life cycle of a building. FM staff do have inadequate visualization and often have difficulty in querying information using 2D drawings and traditional facility management systems. Currently, building information modeling (BIM) is increasingly applied to FM in the operations and maintenance (O&M) stage. BIM represents the geometric and semantic information of building facilities in 3D object-based digital models and enables facility managers to manage building facilities better in the O&M stage. At the same time, the Internet of Things (IoT) technology can be used to acquire operational data of building facilities and real-time environmental data to support FM. However, few studies have used BIM and IoT technologies together for automated management and maintenance of building facilities. Around 65%~80% of the FM comes from facility maintenance management (FMM). However, there is a lack of efficient maintenance strategies and appropriate decision making approaches that can reduce FMM costs. Facility managers usually undertake reactive maintenance or preventive maintenance strategies in the O&M stage. However, reactive maintenance cannot prevent failures and preventive maintenance cannot predict the future condition of building components, which leads to maintenance actions being performed after failure has occurred and it cannot keep the functionality of a building consistent. This study aims to apply a predictive maintenance strategy with BIM and IoT technologies to overcome these limitations. In addition, there is an information interoperability problem among BIM, IoT and the FM system. Therefore, this study aims to leverage the BIM and IoT technologies to improve the efficiency of FMM and to address the information interoperability problem of integrating BIM, IoT and the FM system.  In order to improve the efficiency of FMM, an FMM framework is proposed based on BIM and facility management systems (FMSs), which can provide automatic scheduling of maintenance work orders (MWOs) to enhance good decision making in FMM. In this framework, data are mapped between BIM and FMSs according to the developed Industry Foundation Classes (IFC) extension of maintenance tasks and MWO information in order to achieve data integration. Geometric and semantic information of the failure components is extracted from the BIM models in order to calculate the optimal maintenance path in the BIM environment. Moreover, the MWO schedule is automatically generated using a modified Dijkstra algorithm that considers four factors, namely, problem type, emergency level, distance among components, and location.  In order to provide a better maintenance strategy for building facilities, a data-driven predictive maintenance framework based on BIM and IoT technologies for FMM has been developed. The framework consists of an information layer and an application layer. Data collection and data integration among the BIM models, FM system, and IoT system are undertaken in the information layer, while the application layer contains four modules to achieve predictive maintenance, namely: (1) condition monitoring and sensor data acquisition, (2) condition assessment module, (3) condition prediction module, and (4) maintenance planning module. In addition, machine learning algorithms, i.e. artificial neural network (ANN) and support vector machine (SVM), are used to predict the future condition of building components.  For the information interoperability problem among BIM, IoT and FM system, an ontology-based methodology framework is proposed for data integration among the BIM, IoT and FM domains. The ontology-based approach is developed as a tool to facilitate knowledge management in BIM- and IoT-based FMM and improve the data integration process. First, three ontologies are developed for BIM, IoT, and FMM respectively according to the ontology development process and facility information requirement. Second, an ontology mapping method is designed to integrate the three developed ontologies based on mapping rules. Moreover, ontology reasoning rules are developed based on description logics to infer implicit facts from the integrated ontology and support quick information querying on FMM. The developed framework is validated through an illustrative example.  This research provides an automatic work order scheduling approach in FMM and predictive maintenance strategy for building facilities, thereby enabling great saving in time and labor costs for facility staff. In addition, the proposed ontology-based methodology can address the information interoperability problem and integrate data from BIM, IoT and FM system for facility maintenance activities. In the future, the ontology-based methodology will be applied for the operation management of building facilities.  

Das, M (2015) Social BIMCloud: a distributed cloud-based BIM framework for object-based lifecycle information exchange and supply chain integration, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Deng, Y (2015) Mapping of BIM and GIS for interoperable geospatial data management and analysis for the built environment, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Guo, X (2008) Pricing and financing roads in transportation networks, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Kim, M (2017) Noncontact quality assessment of precast concrete elements using 3D laser scanning and building information modeling, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Li, Y (2013) Developing a sustainable construction waste estimation and management system, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Liang, J (1998) System integration and database management for computer-aided design of tall building structures, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

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Ma, J (2016) A data driven study on LEED credits and green building related implications in city planning, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Ng, K F (2017) Sustainable housing and railway developments over space and time, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Peng, M (2012) Dam risk analysis and dynamic decision making, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Singh, J (2021) BIM-based automatic piping layout design and schedule optimization, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

So, K L (2021) Integrated life-cycle management of highway bridges, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Soomro, M A (2013) Failure mechanisms in transportation public private partnerships, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Venkataraman, V (2017) Investigating the impact of project management factors on green building project delivery using link analysis and system dynamics techniques, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Xiao, F (2007) Game-theoretic models for competitive pricing and network design problems, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Xiong, W (2015) A study of renegotiation and early termination in public private partnerships projects, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Zhang, N (2001) A computer-based environment for preliminary structural design, design collaboration and design automation of tall buildings, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).

Zhang, W (2021) Construction productivity improvement through industrialized construction methods, Unpublished PhD Thesis, , Hong Kong University of Science and Technology (Hong Kong).