Augmented Reality Structural Health Monitoring System
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Solution Overview
Problem
Structural platforms, such as aircraft, face challenges in detecting damage due to service loads, corrosion, fatigue, and accidental impacts, which can lead to costly and potentially catastrophic failures, as existing monitoring systems require scheduled inspections and are prone to human error and high maintenance costs.
Innovation Solution
Integration of Structural Health Monitoring (SHM) systems with Augmented Reality (AR) technology using RFID tags and sensors like fiber optics or piezoelectric sensors, enabling real-time damage detection and visualization, reducing the need for disassembly and minimizing human interference by providing quick and accurate damage characterization, localization, and quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If scheduled manual inspections are used to detect structural damage, then damage can be detected during maintenance, but the process is prone to human error, requires disassembly, and has high maintenance costs
Solution Approach 1:
The structure monitors its own health through embedded sensors that automatically detect damage without requiring external inspection personnel. The SHM system performs self-diagnosis by continuously monitoring structural parameters and comparing them against baseline values, enabling autonomous damage detection and reducing reliance on manual inspections.
Solution Approach 2:
The patent replaces manual mechanical inspection processes with an automated sensor-based monitoring system. Instead of physically examining structures through disassembly and visual inspection, the system uses embedded sensors, signal processing, and data analysis to detect damage, substituting mechanical human labor with electronic monitoring and computational analysis.
2Productivity
If traditional inspection methods are used, then damage can be detected, but accessibility limitations and human error reduce inspection quality and increase costs
Solution Approach 1:
The SHM system implements continuous feedback loops where sensor data is constantly monitored, compared against baseline values, and analyzed for anomalies. When damage indicators are detected, the system provides immediate feedback alerts to maintenance personnel, enabling timely intervention and preventing progression of structural damage while maintaining high detection accuracy.
Solution Approach 2:
The system performs preliminary damage detection and characterization before actual structural failure occurs. By continuously monitoring structural health parameters and identifying early signs of damage, the system enables preventive maintenance actions to be taken beforehand, avoiding catastrophic failures and reducing overall maintenance costs.
3Loss of time
If automated SHM systems are implemented, then real-time damage detection is achieved, but system complexity and initial costs increase
Solution Approach 1:
The monitoring system is divided into modular functional segments including sensor modules, signal processing modules, data management modules, and user interface modules. Each segment performs a specific function and can be independently configured and maintained. This segmentation reduces overall system complexity by breaking down the complex monitoring task into manageable, standardized components that can be implemented incrementally.
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
The SHM-AR system allows for early detection of structural damage, reducing maintenance costs and operational risks by providing real-time, automated inspection capabilities, overcoming accessibility limitations and minimizing human error, thus ensuring structural integrity and safety.
Implementation Method 1
sensors like fiber optics or piezoelectric sensors
Implementation Method 2
sensors like fiber optics or piezoelectric sensors
Implementation Method 3
RFID tags installed in a SHM sensors network and in the AR mobile devices
Data Source
AI summary
An inspection system for assessing and visualizing structural damage to a structural platform comprises sensors operatively coupled to the structural platform that assess structural damage to or failure of the structural platform. A structural health monitoring processor operatively coupled to the sensors determines structural damage in response to the sensors. At least one RF transponder and associated reader determines the position of the structural platform relative to a user augmented reality viewing device. The user augmented reality viewing device includes a camera that captures images of the structural platform. The user augmented reality viewing device displays real world images of the structural platform and virtual indications of determined structural damage that are dependent on the position and orientation of the user augmented reality viewing device relative to the structural platform.