Automated NDE Data Alignment with Simulated Asset Models
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Solution Overview
Problem
Current non-destructive evaluation (NDE) data management systems face challenges in aligning and analyzing large datasets from various modalities, leading to increased costs and labor due to manual alignment requirements and limited ability to track data over time, especially for fleets of assets.
Innovation Solution
A method and system for automatically aligning NDE data with a simulated model using alignment algorithms, enabling the management and analysis of multiple datasets across different modalities, and providing a platform for data fusion and trend analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment tools are used to align NDE data with asset models, then alignment accuracy can be maintained, but labor costs and time requirements increase significantly
Solution Approach 1:
The system enables automatic self-alignment of NDE datasets by utilizing metadata and simulation data inherently associated with each dataset. The alignment process performs self-correction through automated coordinate system transformations and model matching, eliminating the need for manual intervention while maintaining alignment accuracy.
Solution Approach 2:
The patent replaces manual mechanical alignment operations with automated computational algorithms. The system uses computer-based processing to perform coordinate transformations, model matching, and dataset alignment, substituting human labor with automated software systems that maintain precision while dramatically reducing time requirements.
2Reliability
If multiple NDE datasets from different modalities are collected to improve inspection coverage, then detection capability increases, but data management complexity increases
Solution Approach 1:
The system creates a universal management platform that handles multiple NDE data modalities (ultrasonic, radiographic, visual, etc.) through a single integrated system. The platform uses standardized data structures and common alignment procedures that work across all modalities, enabling multi-functional data management without increasing complexity for each additional modality.
Solution Approach 2:
The system transforms heterogeneous NDE datasets into a standardized parameter format through automated coordinate transformations and normalization. By changing the parameter representation of different data modalities to a common framework, the system enables unified management and analysis while maintaining the unique characteristics of each modality.
3Quantity of substance
If NDE data is discarded after analysis to reduce storage costs, then storage requirements decrease, but the ability to track indications over time is lost
Solution Approach 1:
The system extracts and preserves only the essential alignment parameters and indication data from complete NDE datasets after analysis. By separating and retaining only the critical information needed for trend analysis while discarding redundant raw data, the system maintains historical tracking capability with minimized storage requirements.
Solution Approach 2:
The system implements a selective data retention strategy where non-essential NDE data is discarded after analysis, while critical alignment information and indication data are recovered and preserved for future trend analysis. This approach enables cost-effective storage while maintaining the ability to track asset conditions over time.
Data Source
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AI summary
A method, apparatus (10) and program product manage non-destructive evaluation ("NDE") data. NDE data (70) and inspection information (72) for at least a portion of an asset are received and at least one alignment algorithm (78) to align the NDE data to a simulated model (80) of the at least a portion of the asset is determined based upon at least one of the NDE data and the inspection information. The NDE data is automatically aligned to the simulated model with the at least one alignment algorithm and a display representation that visually represents the aligned NDE data on the simulated model is generated.