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Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

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Front. Eng    2018, Vol. 5 Issue (1) : 78-87    https://doi.org/10.15302/J-FEM-2018075
RESEARCH ARTICLE
Smart construction site in mega construction projects: A case study on island tunneling project of Hong Kong-Zhuhai-Macao Bridge
Hongtao ZHOU1, Hongwei WANG2(), Wei ZENG1
1. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
2. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; School of Management, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract

The construction sites of mega construction projects (MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing among such participants. The information and communication technologies (ICTs) provides a technical guarantee for solving this problem. Existing research has been achieved the partial processes digitization of construction site, but certain problems still exist: 1)information perception of the construction site is passive. 2) common collaboration and coordination problems in the construction industry have not been addressed. The emerging trends of ICTs have resulted in the integration of various computer technologies such as CPS, BIM, big data, and cloud computing into construction process, which would changes behavioral and management mode of construction sites. These new ICTs have been applied successfully in MCP, in particular, Hong Kong-Zhuhai-Macao Bridge project. A new management mode of construction sites is inspired by these case. In this paper, a new management mode of construction site for MCP has been proposed, namely, smart construction site. The ultimate goal of smart construction site is to accomplish safe, efficient and high-quality construction. This study put forward the conceptual framework for smart construction site, and have identified three key elements of smart construction site, including information support platform, collaboration work, and intelligent construction management. A case study on Hong Kong-Zhuhai-Macao Bridge project work as an evidence to support the practicability of the proposed mode. Significant contributions of this study is to propose a new management mode for MCP in construction industry, which would enrich the body of knowledge or the construction management community. Future research should be dedicated to further explore the potential of smart construction site in MCP management.
Keywords mega construction projects      smart construction site      information perception      collaborative work      intelligent construction management      information and communication technologies     
Corresponding Author(s): Hongwei WANG   
Just Accepted Date: 21 December 2017   Online First Date: 23 January 2018    Issue Date: 21 March 2018
 Cite this article:   
Hongtao ZHOU,Hongwei WANG,Wei ZENG. Smart construction site in mega construction projects: A case study on island tunneling project of Hong Kong-Zhuhai-Macao Bridge[J]. Front. Eng, 2018, 5(1): 78-87.
 URL:  
https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2018075
https://academic.hep.com.cn/fem/EN/Y2018/V5/I1/78
Fig.1  Conceptual framework of smart construction site
Fig.2  Architecture of information support platform
Fig.3  System framework of smart construction site in HZMB project
1 Akinci B, Boukamp F, Gordon C, Huber D, Lyons C, Park K (2006). A formalism for utilization of sensor systems and integrated project models for active construction quality control. Automation in Construction, 15(2): 124–138
https://doi.org/10.1016/j.autcon.2005.01.008
2 Alizadehsalehi S, Yitmen I (2016). The impact of field data capturing technologies on automated construction project progress monitoring. Procedia Engineering, 161: 97–103
https://doi.org/10.1016/j.proeng.2016.08.504
3 Bansal V, Pal M (2009). Construction schedule review in GIS with a navigable 3D animation of project activities. International Journal of Project Management, 27(5): 532–542
https://doi.org/10.1016/j.ijproman.2008.07.004
4 Boddy S, Rezgui T, Cooper G, Wetherill M (2007). Computer integrated construction: A review and proposals for future direction. Advances in Engineering Software, 38(10): 677–687
https://doi.org/10.1016/j.advengsoft.2006.10.007
5 Carbonari A, Giretti A, Naticchia B (2011). A proactive system for real-time safety management in construction sites. Automation in Construction, 20(6): 686–698
https://doi.org/10.1016/j.autcon.2011.04.019
6 Chae S, Yoshida T (2010). Application of RFID technology to prevention of collision accident with heavy equipment. Automation in Construction, 19(3): 368–374
https://doi.org/10.1016/j.autcon.2009.12.008
7 Cheng T, Teizer J (2013). Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications. Automation in Construction, 34(13): 3–15
https://doi.org/10.1016/j.autcon.2012.10.017
8 Ding L Y, Zhou C, Deng Q X, Luo H B, Ye X W, Ni Y Q, Guo P (2013). Real-time safety early warning system for cross passage construction in Yangtze Riverbed Metro Tunnel based on the internet of things. Automation in Construction, 36(12): 25–37
https://doi.org/10.1016/j.autcon.2013.08.017
9 Irizarry J, Karan E P, Jalaei F (2013). Integrating BIM and GIS to improve the visual monitoring of construction supply chain management. Automation in Construction, 31(5): 241–254
https://doi.org/10.1016/j.autcon.2012.12.005
10 Ju H L, Song J H, Oh K S, Gu N (2013). Information lifecycle management with RFID for material control on construction sites. Advanced Engineering Informatics, 27(1): 108–119
https://doi.org/10.1016/j.aei.2012.11.004
11 Kelm A, Laußat L, Meins-Becker A, Platz D, Khazaee M J, Costin A M, Helmus M, Teizer J (2013). Mobile passive radio frequency identification (RFID) portal for automated and rapid control of personal protective equipment (PPE) on construction sites. Automation in Construction, 36(36): 38–52
https://doi.org/10.1016/j.autcon.2013.08.009
12 Kennedy D M, McComb S A, Vozdolska R R (2011). An investigation of project complexity’s influence on team communication using Monte Carlo simulation. Journal of Engineering and Technology Management, 28(3): 109–127
https://doi.org/10.1016/j.jengtecman.2011.03.001
13 Li X P, Gu L C, Jia J (2012). Anti-collision method of tower crane via ultrasonic multi-sensor fusion. In: Proceedings of International Conference on Automatic Control and Artificial Intelligence (ACAI 2012). Xiamen: 522–525
14 Li Y, Chen Y (2011). The importance and technical difficulties of tunnel and islands for Hong Kong-Zhuhai-Macao Bridge project. Engineering Mechanics, 28(12): 67–77 (in Chinese)
https://doi.org/10.3901/JME.2011.16.067
15 Liu Q, Gao T, Ping W J (2014). Study on building lifecycle information management platform based on BIM. Research Journal of Applied Sciences, Engineering and Technology, 7(1): 1–8
https://doi.org/10.19026/rjaset.7.212
16 Lu W, Huang G Q, Li H (2011). Scenarios for applying RFID technology in construction project management. Automation in Construction, 20(2): 101–106
https://doi.org/10.1016/j.autcon.2010.09.007
18 Mikusz M (2014). Towards an understanding of cyber-physical systems as industrial software-product-service systems. Procedia CIRP, 16(1): 385–389
https://doi.org/10.1016/j.procir.2014.02.025
19 Poku S E, Arditi D (2006). Construction scheduling and progress control using geographical information systems. Journal of Computing in Civil Engineering, 20(5): 351–360
https://doi.org/10.1061/(ASCE)0887-3801(2006)20:5(351)
20 Pradhananga N, Teizer J (2013). Automatic spatio-temporal analysis of construction site equipment operations using GPS data. Automation in Construction, 29(1): 107–122
https://doi.org/10.1016/j.autcon.2012.09.004
21 Rajkumar R, Lee I, Sha L, Stankovic J (2010). Cyber-physical systems: The next computing revolution. In: Proceedings of the 47th Design Automation Conference. Anaheim: 731–736
22 Razavi S N, Haas C T (2010). Multisensor data fusion for on-site materials tracking in construction. Automation in Construction, 19(8): 1037–1046
https://doi.org/10.1016/j.autcon.2010.07.017
23 Riaz Z, Arslan M, Kiani A K, Azhar S (2014). CoSMoS: A BIM and wireless sensor based integrated solution for worker safety in confined spaces. Automation in Construction, 45: 96–106
https://doi.org/10.1016/j.autcon.2014.05.010
24 Rudtsch V, Gausemeier J, Gesing J, Mittag T, Peter S (2014). Pattern-based business model development for cyber-physical production systems. Procedia CIRP, 25: 313–319
https://doi.org/10.1016/j.procir.2014.10.044
25 Sardroud J M (2012). Influence of RFID technology on automated management of construction materials and components. Scientia Iranica, 19(3): 381–392
https://doi.org/10.1016/j.scient.2012.02.023
26 Succar B (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3): 357–375
https://doi.org/10.1016/j.autcon.2008.10.003
27 Sun J, Zhang P (2011). Owner organization design for mega industrial construction projects. International Journal of Project Management, 29(7): 828–833
https://doi.org/10.1016/j.ijproman.2011.04.005
28 Taxén L, Lilliesköld J (2008). Images as action instruments in complex projects. International Journal of Project Management, 26(5): 527–536
https://doi.org/10.1016/j.ijproman.2008.05.009
29 Teizer J (2015). Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites. Advanced Engineering Informatics, 29(2): 225–238
https://doi.org/10.1016/j.aei.2015.03.006
30 Teizer J, Allread B S, Fullerton C E, Hinze J (2010). Autonomous proactive real-time construction worker and equipment operator proximity safety alert system. Automation in Construction, 19(5): 630–640
https://doi.org/10.1016/j.autcon.2010.02.009
31 Teizer J, Caldas C H, Haas C T (2007). Real-time three-dimensional occupancy grid modeling for the detection and tracking of construction resources. Journal of Construction Engineering and Management, 133(11): 880–888
https://doi.org/10.1061/(ASCE)0733-9364(2007)133:11(880)
32 Torrent D G, Caldas C H (2009). Methodology for automating the identification and localization of construction components on industrial projects. Journal of Computing in Civil Engineering, 23(1): 3–13
https://doi.org/10.1061/(ASCE)0887-3801(2009)23:1(3)
17 Wang L C (2008). Enhancing construction quality inspection and management using RFID technology. Automation in Construction, 17(4): 467–479
https://doi.org/10.1016/j.autcon.2007.08.005
33 Yin H (2014). Key technologies applied in design and construction of artificial Islands and immersed tunnel of Hong Kong-Zhuhai-Macao Bridge (HZMB) project. Tunnel Construction, 34(1): 60–66 (in Chinese)
34 Yin S Y L, Tserng H P, Wang J C, Tsai S C (2009). Developing a precast production management system using RFID technology. Automation in Construction, 18(5): 677–691
https://doi.org/10.1016/j.autcon.2009.02.004
35 Zhang J P, Yu F Q, Li D (2012). A modeling technology of integrated BIM for building lifecycle. Journal of Information Technology in Civil Engineering and Architecture, 4(1): 6–14 (in Chinese)
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