- CAIT Main
- Infrastructure Areas
- Program Sites
- ANDERS - Automated Nondestructive Evaluation and Rehabilitation System
- BEAST - Bridge Evaluation and Accelerated Structural Testing
- CAES - Center for Advanced Energy Systems
- FMP - Freight and Maritime Program
- ICMP - Infrastructure Condition Monitoring Program
- IMG - Information Management Group
- LESS - Laboratory for Energy Smart Systems
- LPS - Laboratory for Port Security
- LTBP - Long-Term Bridge Performance Program
- NJ LTAP - NJ Local Technical Assistance Program
- PRP - Pavement Resource Program
- PSSP - Pipeline Safety and Security Program
- SAM - Structures and Advanced Materials
- SSML - Soil and Sediment Management Laboratory
- TSRC - Transportation Safety Resource Center
- TTG - Technology Transfer Group
Pipeline Sensing and Monitoring Project
Mobile Hybrid LiDAR & Infrared Sensing for Natural Gas Pipeline Monitoring
Mobile Hybrid LiDAR & Infrared Sensing for Natural Gas Pipeline Monitoring, or the Pipeline Sensing and Monitoring Project for short, is a research initiative that will employ existing, available tools in a new way to assess and monitor pipeline condition, which will improve safety and enable faster response and recovery following a disaster.
Project sponsor: U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology.
Project duration: January 2014–June 2016
Natural disasters, such as hurricanes and floods, pose significant threats to the integrity of natural gas pipelines. In an emergency situation following a disaster, thorough pipeline safety assessments must be conducted in order to avoid costly post-disaster damages and to ensure the safe and reliable delivery of energy resources.
However, such assessments are currently hampered by a) the lack of data sufficient for quantifying changes in pipeline conditions and their built environment, and b) the lack of data-driven risk models that identify high-risk pipe segments after a disaster.
This research project pursues three objectives:
- Develop a mobile mapping platform that harnesses commercially available remote sensing technologies to provide new remote sensing capabilities for pipeline risk assessment
- Develop a point cloud and infrared imagery analysis system that semi-automates extraction of data from remote sensing systems to detect changes and anomalies in the built environment that could indicate threats to pipelines
- Develop GIS-based pipeline risk assessment tools to identify high risk pipe segments to prioritize repair and restoration activities.
The CAIT team's approach of starting with data collection and ending with actionable information for decision makers will provide a complete solution that can be readily implemented by stakeholders in pipeline safety.
Jie Gong, Ph.D., Principal Investigator
Assistant Professor, Department of Civil and Environmental Engineering, Rutgers
Khalid Farrag, Ph.D., Gas Technology Institute (GTI)
Trefor Williams, Ph.D., Professor, Department of Civil and Environmental Engineering, Rutgers
Andres Roda, P.E., Senior Project Manager, Rutgers Center for Advanced Infrastructure and Transportation
Basily Basily, Research Professor, Department of Civil and Environmental Engineering, Rutgers