- 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 Updates
The CAIT/GTI team has finished developing a damage indicator detection program and an online pipeline risk assessment portal based on various damage indicators. The damage indicator detection program includes an airborne lidar change detection module and a point cloud processing module.Geo-referenced information from the modules can be input to an online pipeline risk assessment program.
The team from Rutgers CAIT and GTI has finished development of a remote sensing-based framework for post-disaster natural gas facility evaluation. As part of that framework, they also developed an airborne lidar-based building damage detection program that uses both pre- and post-event airborne lidar data and automatically computes the extent of damage at an individual household level. Using these tools, the team then conducted a case study of a New Jersey coastal community that was severely impacted by Hurricane Sandy.
Using the new mobile mapping system they developed under this OST-R research project, the Rutgers CAIT team returned to Ortley Beach, New Jersey, the same location they surveyed more than two years ago following Superstorm Sandy. Scanning the Jersey Shore town again will provide baseline data for their pipeline risk assessment software demo and allow them to compare and contrast current data with the data from the original survey.
System upgrades, software development, geo-tagged infrared, and sharing the work
The Rutgers-CAIT research team has integrated a variety of remote sensing devices, developed dedicated software, and validated the system's ability to map at traffic speeds. They also presented work to date at the SOGO monthly meeting in New York.
Update on gas leak detection testing, infrared camera testing, and mobile mapping platform improvements
The Rutgers CAIT team traveled to NYSEG testing facility, conducted ongoing infrared camera testing, and added capabilities to mobile mapping platform.
System integration, data processing, and workflow summary
Rutgers’ CAIT researchers integrated several GNSS/INS sensors and LiDAR sensors together onto a vehicle-based platform and tested various components of gathering and processing the data gathered by the mobile system.
The team also developed a synthesis of LiDAR systems and their associated workflow for data processing.
Mobile platform component testing and calibration
In this quarter, CAIT researchers have been testing and calibrating a variety of sensors that will be integrated on the mobile platform under development. The aim is to understand the performance of each type of system and quantify their operating parameters.
The following systems are being tested and calibrated:
- Infrared Camera
- Projection of infrared images onto laser scan data
- Scanner Automation Interface
March 2014 Update
The research team kicked off the Pipeline Sensing and Monitoring Project with partners from GTI and hosted the first technical advisory committee (TAC) meeting via conference call. The meeting was held to solicit input from natural gas industry stakeholders and build synergistic research development plans. These calls will continue periodically during the project.
As an initial step, Rutgers and GTI are conducting a comprehensive literature analysis of existing pipeline remote sensing and pipeline research analysis studies. The purpose is to identify critical gaps in existing research literature and shape the direction of the proposed research activities in order to maximize its impacts.
The views and opinions expressed herein are entirely those of the author and do not represent the views of the Commercial Remote Sensing & Spatial Information Technologies Program, the U.S. Department of Transportation, or any of its operating administrations.