Multi-level Adaptive Remote Sensing System (Completed)
About the MARSS Project
Project Title: Multi-level Adaptive Remote Sensing System
Sponsoring Organization: USDOT Research and Innovative Technology Administration (RITA)
Program Manager: Mr. Caesar Singh
A joint research team of the Arizona State University and The University of Iowa, in collaboration with the Arizona Department of Transportation, the Iowa Department of Transportation, and the Maricopa County Department of Transportation, has been awarded a research project by the US Department of Transportation’s Research and Innovative Technology Administration, under The Commercial Remote Sensing and Spatial Information (CRS&SI) Technologies program.
Recent efforts initiated through funding by the RITA CRS&SI technology program have focussed on civil infrastructures such as bridges. Underwater monitoring technology, which is a necessary element for bridge scour evaluation needs to be developed for a robust total bridge health management. A Multilevel Adaptive Remote Sensing System (MARSS) is being developed to address the issue of underwater scour. The MARSS features a number of novel concepts such as comprehensive scour assessment under both clear-water and live-bed conditions, Residual Useful Life (RUL) estimation based on the current state, semi-autonomous Decision Support System (DSS) tools capable of fusing data from different sources to an immersive visualization environment, enabling decision making.
This project will give a potential solution to the RITA CRS&SI technology program’s motto to “reduce inefficiencies, improve system performance, and assess infrastructure condition through implementation of applied research.”
“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.”
- Public Abstract
- Background
- Need for RITA funding
- Novelty of the project
- Objectives
- Project Schedule
- Tasks & Deliverables
This program aims at significantly advancing the ability to develop smarter, more efficient and more reliable commercial remote sensing and spatial information (CRS&SI) technology products applicable to bridge scour monitoring. A multi-level adaptive remote sensing system (MARSS) is being developed; the framework integrates remote sensing and wireless technology for scour monitoring, adaptive information processing, prognosis and decision support systems (DSS) to provide valuable scour data, which is currently unavailable. Features from sensors and Radio Frequency IDentification (RFID) are combined to obtain three-dimensional (3D) information about scour, necessary for detection and prognosis of structurally deficient bridges. The adaptive detection approaches provide continuous and near real-time monitoring capability, while the improved DSS significantly reduces the amount of data required for processing by DOT personnel. These features make MARSS not only robust and applicable to different scour modes (clear-water and live-bed scour) and environmental conditions, but also cost effective. The proposed framework is expected to provide quantitative scour data, monitor scour state and mode, and estimate remaining useful life.
Outreach
First Field Test (03/09/13)
N Bush Highway Bridge,
Blue Point Picnic Area, Maricopa County, AZ
RFID Demo
Dr. Papanicolaou,University of Iowa
Team
Adaptive intelligent Materials and Systems Center
The University of Iowa
United States Department of Transportation
Arizona Department of Transportation
City of Tempe
Iowa Department of Transportation
Maricopa County Department of Transportation
Flood Control District of Maricopa County
Washington State Department of Transportation
Conferences
SPIE Smart Structures/NDE 2013
10-14 March, 2013
Town and Country Resort and Convention Center, San Diego, CA, USA
SPIE 2013 Paper: Prediction of scour depth around bridge piers using Gaussian process