Chapter
May 13, 2014

Automatic Cave-in Safety Risk Identification in Construction Excavation

Publication: Construction Research Congress 2014: Construction in a Global Network

Abstract

Safety continues to be among the top issues in the construction industry after experiencing 738 fatalities in the United States in 2011. Among all construction operations, excavation is one of the most hazardous because of its possible cave-ins, contact with objects and equipment, bad air, and so on. Until today, most safety inspectors still are inspecting the site manually, making the inspection time consuming and error prone. This paper presents a method that automatically identifies cave-in safety risks in construction excavation. It first extracts relevant safety rules from OHSA standards and industrial best practices. Then it collects a set of point cloud data of a construction site under excavation using laser scanning, registering, and cleaning the point cloud data afterward. Finally, it develops an automated identification algorithm on the basis of those rules and applies the algorithm to the data to identify potential cave-in risks by analyzing geometrical properties. An experimental trial also is conducted in this paper, and results show that the method identifies those cave-in risks successfully. The presented method actively monitors the fast changing situations of construction sites under excavation and helps inspectors and project managers make good safety decisions, preventing accidents and fatalities.

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Published In

Go to Construction Research Congress 2014
Construction Research Congress 2014: Construction in a Global Network
Pages: 130 - 139

History

Published online: May 13, 2014

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Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA, 30332. E-mail: [email protected]
Nipesh Pradhananga [email protected]
Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA, 30332. E-mail: [email protected]
Jochen Teizer [email protected]
Associate Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, U.S.A., 790 Atlanta Dr. NW, Atlanta, GA 30332. E-mail: [email protected]

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