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原文传递 Portable Bridge Scour Monitoring using Autonomous Underwater Vehicles Technology Development and Risk Assessment-based Platform for Deployment Prioritization.

题名：	Portable Bridge Scour Monitoring using Autonomous Underwater Vehicles Technology Development and Risk Assessment-based Platform for Deployment Prioritization.
作者：	Omidvar, M.; Horine, B.
关键词：	Autonomous underwater vehicle (AUV), Risk assessment, Image processing, Bridge scour
摘要：	In this study, advances were made toward implementation of a geographic information system (GIS)-based scour risk assessment program facilitated by autonomous underwater vehicle (AUV) missions. The contributions of the work included: (1) Adaptation of an existing AUV for bridge scour monitoring and inspection, including hardware upgrades, such as improvements on fabrication methods, upgrades on motor components for navigation in riverine environments, navigation, onboard processors, and instrumentation to accommodate collection of bathymetric data from a bridge site. (2) Development of codes and algorithms to guide navigation of the AUV, and to process typical digital images collected in AUV missions at bridge pier sites. Specifically, codes were developed to analyze typical acoustic images of bridge piers for extraction of features of interest to scour monitoring, including the bridge pier structure and the riverbed outline. Methods developed included preprocessing using the Savitsky-Golay filter, entropy and range filtering, edge detection using the Prewitt operator, the Gabor filter, and k-means clustering, and the Hough transform. The algorithms were implemented in Matlab and OpenCV. Details of the image processing algorithms and results applied to a set of sample acoustic images were presented. (3) Simulation of AUV path finding and navigation using the state-of-the-art Mission Oriented Operating Suite (MOOS) simulation environment, which is a multi-objective optimization system based on interval programming. A navigation algorithm was programmed to allow for typical AUV scour monitoring missions. (4) A GIS-based platform to prioritize bridge scour monitoring and inspection programs. The HYRISK model was implemented by computing probability of failure and cost of failure for over 10,200 bridges in New York State for which scour susceptibility was applicable. Data from the National Bridge Inventory (NBI) were used to compile a database of bridge parameters relevant to the HYRISK model. The data were compiled in a GIS map of New York State. A set of risk maps were generated to demonstrate the efficacy of the developed model in visualizing risk distribution throughout the state, which can be useful in decision-making and planning for post-storm prioritization of AUV deployment for scour assessment and other mitigative actions.
报告类型：	科技报告