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Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Authors :
Thomas Danel
Zoubeir Lafhaj
Anand Puppala
Sophie Lienard
Philippe Richard
Source :
Buildings, Vol 11, Iss 1, p 21 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

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.

Details

Language :
English
ISSN :
20755309
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Buildings
Publication Type :
Academic Journal
Accession number :
edsdoj.6e13bb8a171e48a7a6176f3b4794ef01
Document Type :
article
Full Text :
https://doi.org/10.3390/buildings11010021