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Paper: lc3-2017-170
| Paper title: | Progress Monitoring of Masonry Work Via Resource Tracking Using Sensor-Based Technologies |
| Authors: | Gursans Guven and Esin Ergen |
| Summary: | Current manual methods used for construction activity monitoring is costly and error-prone, and they lead to inefficient decision making, delays and cost overruns. The aim of this study that is explained in this paper is to automatically monitor construction activities by tracking major resources by fusing sensor-based technologies. This study specifically focuses on double-shift construction sites and proposes an approach that can be used both during the day and night shifts. A proof-of-concept prototype was developed and implemented at a construction site for monitoring the progress of masonry work. The resources that were tracked were the equipment used in performing the activity (i.e., tower crane and construction hoist) and the bulk material (i.e., reusable concrete masonry block pallets). This paper provides the requirements identified for utilizing the technologies (i.e., position and load sensors on tower crane and RFID system on hoist) to track construction equipment and bulk material in monitoring the masonry work progress. The prototype development and the test set-up are described. Finally, the preliminary results achieved during the implementation of the prototype and the challenges observed are presented. |
| Type: | regular paper |
| Year of publication: | 2017 |
| Keywords: | Automated Progress Monitoring, Equipment Tracking, Sensor-Based Technologies |
| Series: | jc3:2017 |
| Download paper: | /pdfs/LC3_2017_paper_170.pdf |
| Citation: | Gursans Guven and Esin Ergen (2017). Progress Monitoring of Masonry Work Via Resource Tracking Using Sensor-Based Technologies. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 957-964, http://itc.scix.net/paper/lc3-2017-170 |
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