A Case Study of 3D Imaging Productivity Needs to Support Infrastructure Construction
暂无分享，去创建一个
The national infrastructure system is at a crossroads with a need for renewal and expansion in the most efficient manner possible. Light railway construction requires the installation of embedments in reinforced concrete pavement along the length of elevated sections of the railway system. Conventionally, wooden dowels are manually placed into the reinforcing steel mat before concrete placement to form the slot for the embedments; however this is labor intensive and can yield inconsistent spacing. An alternative method is digitally mapping the locations of the reinforcing steel-free space prior to concrete placement to identify where holes could be drilled without hitting the steel reinforcement. The challenge is avoiding impacting production. Using field-based data, this study identifies the number of hours to create the map without impacting production for a typical railway section. Discrete event simulation (DES) modeling is utilized to conduct the analysis. To substitute the alternative method, scanning a typical railway section falls within the capabilities of most laser scanning technologies; however, the processing of images to create a useable model controls. This research demonstrates a case study of applying DES to analyze productivity impacts on a repetitive process and investigates the capabilities of 3D imaging technologies for effective field use. PROJECT BACKGROUND Traditionally, the resources required to support a construction crew included manual labor, equipment, and materials. Over time as information systems and sensing agents have advanced in their capabilities and durability, advantages are becoming more apparent in providing greater information and automation to crews as well. If the realm of construction resources is to be expanded to include information, then the pertinent restraints to providing the necessary information when required has to be planned as is the case with labor, equipment, and materials. The following case
[1] J.C. Martinez. EZStrobe-general-purpose simulation system based on activity cycle diagrams , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).
[2] Mani Golparvar-Fard,et al. Development and Use of the NIST Intelligent and Automated Construction Job Site Testbed | NIST , 2011 .
[3] Silvio Savarese,et al. Application of D4AR - A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication , 2009, J. Inf. Technol. Constr..