3D Sonar Structural Change Detection for Underwater Infrastructure
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Solution Overview
Problem
Current methods for inspecting underwater structures, such as using divers, ROVs, and AUVs, are inefficient in detecting structural changes in complex three-dimensional underwater environments, particularly in real-time and over large distances.
Innovation Solution
A method and system utilizing a 3D sonar system onboard an autonomous underwater vehicle (AUV) or ROV to direct acoustic sonar waves, process reflections into 3D images, align data points with pre-existing models, and generate change detection models to identify structural changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional inspection methods (divers, ROVs, AUVs) are used to inspect underwater structures, then human expertise and tactile inspection are available, but the inspection efficiency is low and real-time detection of structural changes is difficult
Solution Approach 1:
The patent replaces mechanical inspection systems (divers, ROVs, AUVs) with an acoustic field-based sonar system. The sonar device emits acoustic waves that interact with the underwater structure, and the reflected waves are processed to detect structural changes, eliminating the need for physical mechanical inspection while achieving real-time monitoring
Solution Approach 2:
The patent creates acoustic copies (sonar images) of the underwater structure by processing reflected acoustic waves. These acoustic images serve as virtual replicas that can be analyzed for structural changes without physically accessing the structure, enabling rapid comparison between current and historical states
2Measurement precision
If comprehensive 3D scanning is performed on underwater structures, then detailed structural information is obtained, but the complexity of data processing and alignment increases
Solution Approach 1:
The patent performs preliminary alignment of sonar data with the pre-existing 3D model before detailed change detection. By pre-aligning the coordinate systems and spatial references, the system simplifies subsequent processing steps and reduces computational complexity while maintaining high detection accuracy
Solution Approach 2:
The patent divides the complex inspection task into distinct processing stages: data acquisition, preliminary alignment, change detection model generation, and structural change identification. This segmentation allows each module to be optimized independently, reducing overall system complexity
3Speed
If real-time structural change detection is implemented, then rapid response to structural issues is achieved, but the system requires sophisticated processing capabilities that increase device complexity
Solution Approach 1:
The system performs self-alignment by automatically comparing newly acquired sonar data with the pre-existing 3D model and autonomously detecting structural changes without requiring manual intervention. This self-service capability enables real-time operation while reducing the need for complex external processing systems
Solution Approach 2:
The patent implements a feedback mechanism where the sonar system continuously monitors the underwater structure, compares current data with historical data, and immediately identifies structural changes. This closed-loop feedback enables real-time detection while the system adapts to varying environmental conditions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid, real-time detection of structural changes in underwater structures, improving inspection efficiency and accuracy, even in complex and dynamic environments.
Implementation Method 1
directing an acoustic sonar wave toward an underwater structure, and receiving a response from directing the acoustic sonar wave toward the underwater structure
Data Source
AI summary
A method and system that can be used for scanning underwater structures. The method and system allow a user to gain a better understanding of an underwater structure. For example, the method and system detect change(s) to an underwater structure. An acoustic sonar wave is directed toward an underwater structure, and a reflected acoustic sonar wave is received and processed to produce a three dimensional image. Data points of this three-dimensional image of the underwater structure are aligned to a pre-existing three dimensional model of the underwater structure. A change detection model is generated based on the aligned 3D images, and the change detection model is compared to the pre-existing three dimensional model of the underwater structure. Based on the comparison, occurrences of structural changes in the underwater structure are detected.