Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0
Author(s): |
Thomas Danel
Zoubeir Lafhaj Anand Puppala Sophie Lienard Philippe Richard |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 22 December 2020, n. 1, v. 11 |
Page(s): | 21 |
DOI: | 10.3390/buildings11010021 |
Abstract: |
This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity. |
Copyright: | © 2020 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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02/06/2021