.png){kind=icon}
返回
Toward Automated Earned Value Tracking Using 3D Imaging Tools
.png){kind=icon}
PRE
AI
DOI：10.1061/(ASCE)CO.1943-7862.0000629.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Accurate and frequent construction progress tracking provides critical input data for project systems such as cost, schedule control, and billing. Unfortunately, conventional progress tracking is labor intensive, sometimes subject to negotiation, and often driven by arcane rules. Attempts to improve progress tracking have recently focused on automation, using technologies such as three-dimensional imaging, global positioning systems, ultra wide band (UWB) indoor locating, handheld computers, voice recognition, wireless networks, and other technologies in various combinations. However, one limit of these approaches is their focus on counting objects or milestones rather than value. In this paper, a four-dimensional model recognition-driven automated progress tracking system that transforms objects to their earned values is examined via the analysis of data from the construction of a steel reinforced concrete structure and a steel structure. It is concluded that automated, object oriented recognition systems that convert each object to its earned value can substantially improve the accuracy of progress tracking, and thus, better support project systems like billing. The contribution of this study is an argument based on scientific results for refocusing future research onto automated earned value tracking, which is ultimately what is needed in practice. DOI: 10.1061/(ASCE)CO.1943-7862.0000629. (C) 2013 American Society of Civil Engineers.
Keyword:
Building information models (BIM)
Four-dimensional
Five-dimensional
Construction progress control
Cost codes
Earned value
Laser scanning
Object recognition
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
J
IF:
5.1
论文数:
5.1K
被引数:
1.4W
机构
引用论文
Integrating automated data acquisition technologies for progress reporting of construction projects
OAAI
.png){kind=icon}
OAAI分享收藏分享收藏
查看更多内容