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

被引:5
作者
Danel, Thomas [1 ]
Lafhaj, Zoubeir [1 ]
Puppala, Anand [2 ]
Lienard, Sophie [3 ]
Richard, Philippe [3 ]
机构
[1] Univ Lille, CNRS, LAMcube Lab Mecan, Cent Lille,UMR 9013,Multiphys,Multiechelle, F-59000 Lille, France
[2] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77843 USA
[3] Bouygues Construct, 1 Ave Eugene Freyssinet, F-78061 Guyancourt, St Quentin En Y, France
关键词
tower crane; productivity; construction site; datalogger; LOCATION TRACKING; EQUIPMENT; SUPPORT; WORKERS; GPS;
D O I
10.3390/buildings11010021
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:1 / 15
页数:15
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[31]   LABOUR EFFICIENCY IN CONSTRUCTION INDUSTRY IN EUROPE BASED ON FRONTIER METHODS: DATA ENVELOPMENT ANALYSIS AND STOCHASTIC FRONTIER ANALYSIS [J].
Nazarko, Joanicjusz ;
Chodakowska, Ewa .
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2017, 23 (06) :787-795
[32]   Safety-based efficiency evaluation of construction sites using data envelopment analysis (DEA) [J].
Nahangi, Mohammad ;
Chen, Yuting ;
McCabe, Brenda .
SAFETY SCIENCE, 2019, 113 :382-388
[33]   Research on the Construction of College Football Classroom Practice Teaching System Model Based on Big Data Analysis [J].
Zhang, Bo ;
Ren, Wei .
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
[34]   Herd typologies based on multivariate analysis of biosecurity, productivity, antimicrobial and vaccine use data from Danish sow herds [J].
Kruse, Amanda Brinch ;
Nielsen, Liza Rosenbaum ;
Alban, Lis .
PREVENTIVE VETERINARY MEDICINE, 2020, 181
[35]   Environmental regulation efficiency and total factor productivity-Effect analysis based on Chinese data from 2003 to 2013 [J].
Tang, Decai ;
Tang, Jiexin ;
Xiao, Zheng ;
Ma, Tingyu ;
Bethel, Brandon J. .
ECOLOGICAL INDICATORS, 2017, 73 :312-318
[36]   Vision-based real-time process monitoring and problem feedback for productivity-oriented analysis in off-site construction [J].
Chen, Xue ;
Wang, Yiheng ;
Wang, Jingwen ;
Bouferguene, Ahmed ;
Al-Hussein, Mohamed .
AUTOMATION IN CONSTRUCTION, 2024, 162
[37]   Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research topic [J].
Zhou, Zhipeng ;
Wei, Lixuan ;
Yuan, Jingfeng ;
Cui, Jianqiang ;
Zhang, Ziyao ;
Zhuo, Wen ;
Lin, Dong .
ADVANCED ENGINEERING INFORMATICS, 2023, 58
[38]   BIM-based automated analysis of dynamic hazards for proactive safety measures during the earthwork construction stage using CCTV data [J].
Kulinan, Almo Senja ;
Jeon, Yuntae ;
Aung, Pa Pa Win ;
Park, Minsoo ;
Cha, Gichun ;
Park, Seunghee .
ADVANCED ENGINEERING INFORMATICS, 2025, 65
[39]   Using Data Envelopment Analysis (DEA) for monitoring efficiency-based performance of productivity-driven organizations: Design and implementation of a decision support system [J].
Samoilenko, Sergey ;
Osei-Bryson, Kweku-Muata .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2013, 41 (01) :131-142