Robotic Repair System for Live Distribution Gasmains - Robotics Institute Carnegie Mellon University

Robotic Repair System for Live Distribution Gasmains

Hagen Schempf, Edward Mutschler, Vitaly Goltsberg, William Crowley, and Brian Chemel
Conference Paper, Proceedings of 3rd International Conference on Field and Service Robotics (FSR '01), June, 2001

Abstract

US gas companies spend over $300 million annually detecting and repairing gas leaks in urban and suburban settings. The current approach is one of above ground leak detection and pinpointing, followed by excavation, repair and restoration. The major cost incurred is typically that of digging and restoring the excavation site. The Gas Research Institute (GRI) and the National Aeronautics and Space Administration (NASA) are funding a program at Carnegie Mellon University’s (CMU) Robotics Institute (RI) and Maurer Engineering (MEI) to reduce the cost of repairing gas distribution mains using advanced remote and robotics technologies to provide up to 50% cost savings over conventional repair methods. Under this program, CMU has developed GRISLEE (Gasline Robotic Inspection System for Live Entry Environments), a remotely controllable, modular leak-detection, inspection, surface-preparation and repair robot system for the real-time in-situ spot-repair of live 4-inch diameter distribution gas-mains. The system is capable of repairing 2 or more leaks per day from a single excavation over a 2,000 foot length under live conditions (i.e. without downtime in the gas main). The prototype system has undergone laboratory testing and proven the feasibility of its modular inspection, sensing, preparation, and repair technologies and systems. Field-trials with multiple utilities are planned for 2001.

BibTeX

@conference{Schempf-2001-16779,
author = {Hagen Schempf and Edward Mutschler and Vitaly Goltsberg and William Crowley and Brian Chemel},
title = {Robotic Repair System for Live Distribution Gasmains},
booktitle = {Proceedings of 3rd International Conference on Field and Service Robotics (FSR '01)},
year = {2001},
month = {June},
}