EMAT Pig Data Reduction via Envelope Peak Selection
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Solution Overview
Problem
Existing methods for reducing digital data from EMAT sensors used in pipeline inspections lose essential information and have inefficient data compression, leading to excessive data storage requirements during pipeline inspections.
Innovation Solution
A method that selects peak values based on amplitude/transit time vectors, determines envelope width and shape, and divides the signal into intervals to calculate mean peak values, ensuring accurate data reduction without losing critical information for defect detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If direct (1:1) data storage is used, then complete data is preserved, but memory capacity is exceeded
Solution Approach 1:
The patent extracts only the essential features from the ultrasonic signals - specifically the envelope peaks with their amplitude and transit time values - while discarding the redundant raw signal data. This extraction approach reduces data volume dramatically while preserving the critical information needed for defect detection and characterization.
Solution Approach 2:
The patent segments the continuous ultrasonic signal into discrete envelope peaks, treating each peak as an independent feature to be stored. By segmenting the continuous data stream into discrete, meaningful features (peaks with amplitude and time values), the system achieves efficient data reduction without losing diagnostic information.
2Quantity of substance
If peak selection methods are used, then data reduction factor is increased, but essential information is lost
Solution Approach 1:
The patent transitions from storing raw time-domain signal data to storing peak features in a transformed domain (amplitude-transit time space). By representing signals as peaks with characteristics in this transformed dimension, the system achieves higher compression while maintaining the ability to reconstruct and analyze the original signal features for defect detection.
3Quantity of substance
If simple peak storage is used, then storage requirements are reduced, but defect characterization capability is compromised
Solution Approach 1:
The patent applies different levels of detail to different aspects of the data. For envelope peaks, it stores comprehensive characteristics (amplitude, transit time, and envelope width) to maintain defect characterization accuracy. For other signal regions, it uses simpler representation, achieving optimal balance between data volume and measurement precision.
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
This method achieves higher data reduction factors while maintaining the fidelity of defect detection information, allowing for efficient storage and reconstruction of ultrasonic signals without significant loss of data.
Implementation Method 1
an EMAT probe including an EMAT transmitter and an EMAT receiver produces an ultrasonic wave train (US wave train) in the pipe/pipeline wall by electrical/magnetic forces
Implementation Method 2
The reflected US wave is detected by the EMAT receiver and converted back into a proportional electrical signal
Implementation Method 3
This wave train propagates through the pipeline wall and is reflected at interfaces
Data Source
AI summary
A method for reducing digital data of an electro magnetic acoustic transducer pig that travels through a pipeline so as to detect defects by measuring an analog ultrasonic echo includes determining a size of a defect and determining a background noise at the defect. The size of the defect is determined by selecting peak values of the digital data based on a plurality of amplitude/transit time vectors indicating maxima of an ultrasound envelope, each vector being determined by three amplitude/transit time pairs. The ultrasound envelope is generated by determining a width of a respective vector ultrasound envelope for each vector. The background noise at the defect is determined by summing peak values of the digital data in time intervals so as to form an interval-specific summation value.