Open Access
Rahul Kumar Gupta
V.K Paul
Sushil Kumar Solanki
- Student Dept. of Building Engineering & Management, School of Planning and Architecture Delhi India
Abstract
Industrialization and modernization play a major role in construction industry and influence the development of infrastructure in all the related sectors as well. Modern and advanced devices when calibrated with project execution processes, can prove to be a time saving & error free method and also assured quality end result. Quality control and quantity management are the ways to control and measure projects. Analysis of measures provides information that may indicate corrective action. This process can improve the performance of the project and it plays a major role in the procedure of project progress on site tracking. The breakthrough of interoperability of 3D laser scanners with 4D construction models (BIM with time schedule), is massive and influencing the industry in a positive rapid way. The traditional practice of construction progress assessment generally takes time, capital and sometimes results in partial, inaccurate and incorrect information feed. This study and exploration will try to bridge the gap between traditional ways of progress tracking and modern devices available to do the same in more efficient and accurate manner. Analysis on the benefits of these technology and the practical challenges which can occur in its implementation have been observed and inferred accordingly. Paper explores the automated approach for monitoring and tracking a project which recognize physical progress of work done accurately and efficiently. Crucial components of a successful project such as analysis and visualization of the as-built work progress with the planned one, this tool proved to be valuable for construction progress monitoring. Automation at all stages right from data collection or acquisition, analyzing and progress representation or visualization and also recognition of elements deviation make the process of construction error free and timely. To achieve the desired outcome based on the project requirement, set of methods have been formulized which can optimize the progress of tracking and inspecting the project in real time using 3D laser scanner and allied software.
Keywords: Monitoring Project, Progress Tracking, Project Inspection, BIM, Scanning Technology
[This article belongs to International Journal of Architecture and Infrastructure Planning(ijaip)]
Browse Figures
References
1. Yelda Turkan. (2012). Automated Construction Progress Tracking using 3D Sensing Technologies. 152.
2. Thu Anh Nguyen, Phong Thanh Nguyen, & Sy Tien Do. Application of BIM and 3D Laser Scanning for Quantity Management in Construction Projects. Advances in Civil Engineering.
2020; 1–10. [Online] Available from https://www.hindawi.com/journals/ace/2020/8839923/
3. Dr Jasper Mbachu. (2015). Quantity surveyor’s role in the delivery of construction projects: A review. Research Report, 22.
4. Léa Sattler, Samir Lamouri, Robert Pellerin, & Thomas Maigne. Interoperability aims in Building Information Modeling exchanges: A literature review. IFAC-PapersOnLine. 2019; 52(13): 271–276.
5. Sangyoon Chin, Suwon Yoon, Yea-Sang Kim, Youngsoo Jung, Soon-Chan Park, & Moonhun Chung. (2004, September 25). A Project Progress Measurement and Management System. 21st International Symposium on Automation and Robotics in Construction, Jeju, Korea. https://doi.org/10.22260/ISARC2004/0101
6. Rastogi, A. & Paul, V. K. A Critical Review of the Potential for Fly Ash Utilisation in Construction-Specific Applications in India. Journal of Environmental Research, Engineering and Management. 2020; 76(2): 65-75.
7. Changmin Kim, Hyojoo Son, & Changwan Kim. Automated construction progress measurement using a 4D building information model and 3D data. Automation in Construction. 2013; 31: 75–82.
8. Seshadhri, G. & Paul, V. K., 2017. Intervention Strategy for Enhanced User Satisfaction Based on User Requirement Related BPAs for Government Residential Buildings. New York, International Conference on Sustainable Infrastructure 2017.
9. Mittal, Y. K. et al., 2020. Delay Factors in Construction of Healthcare Infrastructure Projects: A Comparison amongst Developing Countries. Asian Journal of Civil Engineering, 21(1), pp. 649- 661.
10. Mittal, Y. K., Paul, V. K. & Sawhney, A., 2019. Methodology for Estimating the Cost of Delay in Architectural Engineering Projects: Case of Metro Rails in India.
11. Seshadhri, G. & Paul, V. K., 2018. Validation and ranking of user requirement related building performance attributes and sub attributes for government residential buildings. Facilities.
12. Ronie Navon & Rafael Sacks. (2007). Assessing research issues in Automated Project Performance Control (APPC). Automation in Construction, 16(4), 474–484. https://doi.org/10.1016/j.autcon.2006.08.001
13. Paul, V. K. & Seth, V., 2017. Benchmarking and Objective Selection of Technologies for Housing in India Using Quality Function Deployment. Journal of Construction in Developing Countries, 22(1), pp. 63-78.
14. Geraldine S Cheok, Stefan Leigh, & Andrew Rukhin. (2002). Calibration experiments of a laser scanner (NIST IR 6922; p. NIST IR 6922). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.6922
15. Ioannis Brilakis, Manolis Lourakis, Rafael Sacks, Silvio Savarese, Symeon Christodoulou, Jochen Teizer, & Atefe Makhmalbaf. (2010). Toward automated generation of parametric BIMs based on hybrid video and laser scanning data. Advanced Engineering Informatics, 24(4), 456–465. https://doi.org/10.1016/j.aei.2010.06.006
16. A F Habib, M S Ghanma, & M Tait. (2004). Integration of LIDAR and Photogrammetry For Close Range Applications. 7.
17. Samir El-Omari & Osama Moselhi. (2008). Integrating 3D laser scanning and photogrammetry for progress measurement of construction work. Automation in Construction, 18(1), 1–9. https://doi.org/10.1016/j.autcon.2008.05.006
18. Avar Almukhtar, Zaid O. Saeed, Henry Abanda, & Joseph H. M. Tah. Reality Capture of Buildings Using 3D Laser Scanners. CivilEng. 2021; 2(1): 214–235.
19. Dr. Chengyi Zhang, Prof. David Arditi, & Mr. Peng Liu. (2021). Integrating Laser-scanning Technology into a Construction Engineering and Management Curriculum. 14.
20. Geraldine S Cheok, William C Stone, Robert R Lipman, & Christoph Witzgall. (2000). Ladars for construction assessment and update. Automation in Construction, 9(5–6), 463–477. https://doi.org/10.1016/S0926-5805(00)00058-3
21. Jacopo Alberto Bonini, Alessandro Mandelli, Stefano Marco De Gennaro, & Fabrizio Banfi. (2021). BIM Interoperability: Open BIM-Based Workflow For Heritage Building Information Modelling (HBIM). A Multidisciplinary Approach Based On Advanced 3d Tools And Exchange Formats. Proceedings ARQUEOLÓGICA 2.0 – 9th International Congress & 3rd GEORES –
GEOmatics and PREServation, 1–11. https://doi.org/10.4995/arqueologica9.2021.12104
22. Mani Golparvar-Fard, Feniosky Peña-Mora, & Silvio Savarese. (2009). D4ar – A 4-Dimensional Augmented Reality Model For Automating Construction Progress Monitoring Data Collection, Processing And Communication. 25.
23. Paul, V. K., Khursheed, S. & Singh, R., 2017. Comparative Study of Construction Technologies for Underground Metro Stations in India. International Journal of Research in Engineering and Technology, 6(3), pp. 55-63.
24. Sepehr Alizadeh Salehi & İbrahim Yitmen. (2018). Modeling and analysis of the impact of BIM- based field data capturing technologies on automated construction progress monitoring.
25. Sepehr Alizadehsalehi & Ibrahim Yitmen. (2019). A Concept for Automated Construction Progress Monitoring: Technologies Adoption for Benchmarking Project Performance Control. Arabian Journal for Science and Engineering, 44(5), 4993–5008. https://doi.org/10.1007/s13369- 018-3669-1
26. Udechukwu Ojiako, Eric Johansen, & David Greenwood. (2008). A qualitative re‐construction of project measurement criteria. Industrial Management & Data Systems, 108(3), 405–417. https://doi.org/10.1108/02635570810858796
| Volume | 8 |
| Issue | 1 |
| Received | January 17, 2022 |
| Accepted | January 25, 2022 |
| Published | January 7, 2023 |