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Incorporating Virtual Field Information In Learning Construction Operations

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Conference

2009 Annual Conference & Exposition

Location

Austin, Texas

Publication Date

June 14, 2009

Start Date

June 14, 2009

End Date

June 17, 2009

ISSN

2153-5965

Conference Session

Innovation in Construction Engineering Education II

Tagged Division

Construction

Page Count

17

Page Numbers

14.727.1 - 14.727.17

Permanent URL

https://peer.asee.org/5717

Download Count

32

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Paper Authors

biography

Lingguang Song University of Houston

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Dr. Lingguang Song is an Assistant Professor of Construction Management at the University of Houston. He teaches construction management, scheduling, reinforced concrete, quality management, and computer applications at undergraduate and graduate level. His primary research interests include process simulation and visualization, productivity measurement and improvement, and IT applications in construction. For more than ten years, he has been involved in research funded by various grants and has published more than 25 journal and conference papers on his research.

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Sang-Hoon Lee University of Houston

biography

Junshan Liu Auburn University

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Mr. Junshan Liu is an Assistant Professor at the McWhorter School of Building Science at Auburn University, Auburn, Alabama. He teaches construction information technology, construction safety and structures at undergraduate and graduate levels. His primary research interests include digital visualization in construction, building information modeling (BIM), construction safety education, and construction survey.

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Incorporating Virtual Field Information in Learning Construction Operations

Abstract

Construction students must be equipped with both theoretical knowledge and hands-on experience for them to function effectively in the real world. One of the ways to expose students to the real world is to capture and share actual project information in a classroom setting. This study takes advantage of two of the recent developments in information technology for capturing and transferring real-world construction field data virtually to classrooms. These technologies include real-time, GPS-based construction equipment tracking and rapid 3-D modeling using digital photos and video data. The GPS system collects real-time construction equipment data from GPS sensors, and these data can be used by students to analyze construction productivity and design look-ahead schedules and to perform what-if analysis using computer simulation. The rapid 3-D modeling component allows users to transform a set of regular digital photos or video clips acquired from a construction site into an interactive 3-D model. Once the model is created, students can experience, on a personal computer, a 360-degree view of the site that can be used for effective visual presentation and communication, progress monitoring, and site layout planning purposes. The application of these technologies is demonstrated based on two industrial case studies.

Introduction

Construction management education is designed to prepare students of technical, practical, and managerial competence to implement the best practices and technologies in the construction industry. To achieve these goals, students must be equipped with both theoretical and working knowledge. Theoretical knowledge provides students with a precise and thorough background of all terms and conditions that explain the engineering and construction process. Meanwhile, construction is also a very practical field, and the most natural way of acquiring knowledge and experience is to be immersed in relevant situations and to practice. Therefore, in addition to book learning, exposure to the real-world construction and hands-on exercises are also essential for

Song, L., & Lee, S., & Liu, J. (2009, June), Incorporating Virtual Field Information In Learning Construction Operations Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. https://peer.asee.org/5717

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