A Real-Time Productivity Tracking Framework Using Survey-Cloud-BIM Integration
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RESEARCH ARTICLE-CIVIL ENGINEERING
A Real‑Time Productivity Tracking Framework Using Survey‑Cloud‑BIM Integration Farrukh Arif1 · Waleed Ahmed Khan1 Received: 1 April 2020 / Accepted: 29 July 2020 © King Fahd University of Petroleum & Minerals 2020
Abstract Various studies have been made which determine the effect of automatic progress monitoring over traditional method of construction progress monitoring. However, for many construction companies in the developing country like Pakistan it is difficult to implement the technique which is not cost-effective or requires more resources and human resource capabilities. The traditional method of manually developing as-built data on site through visualization consists of several errors due to the subjective nature of the data as it depends on the perception and experience of the field staff who collects it. This study presents low cost and easily adaptable real-time construction activities’ productivity tracking framework for the small to medium size construction companies using Survey-Cloud-BIM integration. The framework focuses on gathering progress data through construction face survey using a typical total station, integrating the data through cloud, and thereafter processes it through Dynamo programming to generate data-driven as-built model of an under-construction project on a BIM platform. The data-driven (progressive) BIM models can then be used to calculate real-time productivity and compare it with the calibrated productivity that can help project managers to take control decisions timely and efficiently. The framework was implemented on a case study project to track the real-time productivity and progress of three bulk construction activities; concreting in columns, concreting in slab and placement of block masonry on the construction sites. Keywords Total station · BIM · Dynamo · As-built · Baseline productivity curves · Productivity
1 Introduction Construction progress monitoring is one of the important tasks among all the construction processes [1, 2]. Different measurements of construction processes are taken periodically and compared with already decided or expected results [3]. The term ‘productivity tracking’ consists of two parts: (1) measurement of on-site productivity and (2) comparison of productivity with the baseline productivity. The conventional way of construction activities’ productivity tracking on different construction sites is through visualization by the field staff who collects the information by simple visiting the site and visualizes the certain percentage of the activity * Farrukh Arif [email protected]; [email protected] 1
Waleed Ahmed Khan [email protected]; [email protected]
Department of Civil Engineering, NED University of Engineering and Technology, University Road, Karachi 75270, Pakistan
completion with his experience and perception. Since the data which is recorded is based on the visual understanding of the field staff, makes it subjective, and therefore, it is erroneous [4]. When it is conver
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