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Estimation of the excavator actual productivity at the construction site using video analysis Cover

Estimation of the excavator actual productivity at the construction site using video analysis

Open Access
|Mar 2021

Abstract

Current estimates of the actual productivity of heavy construction machinery at a construction site are not supported by an appropriate and widely used methodology. Recently, for the purpose of estimating the actual productivity of heavy construction machinery, vision-based technologies are used. This paper emphasizes the importance of estimating actual productivity and presents a way (i.e. a research framework) to achieve it. Therefore, the aim of this paper is to propose a simple research framework (SRF) for quick and practical estimates of excavator actual productivity and cycle time at a construction site. The excavator actual productivity refers to the maximum possible productivity in real construction site conditions. The SRF includes the use of a video camera and the analysis of recorded videos using an advanced computer program. In cases of continuous application of SRF, a clear and transparent base for monitoring and control of earthworks can be obtained at an observed construction site.

DOI: https://doi.org/10.2478/otmcj-2021-0003 | Journal eISSN: 1847-6228 | Journal ISSN: 1847-5450
Language: English
Page range: 2341 - 2352
Submitted on: May 3, 2020
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Accepted on: Jan 12, 2021
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Published on: Mar 21, 2021
Published by: University of Zagreb
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Martina Šopić, Mladen Vukomanović, Diana Car-Pušić, Ivica Završki, published by University of Zagreb
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.