DAS Signal Processing for Real-Time Phase Error Correction
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Solution Overview
Problem
Existing signal processing methods for distributed acoustic sensing (DAS) face challenges in real-time processing of measurement data due to high calculation requirements and the inability to correct phase connection errors effectively, leading to erroneous detection of large vibrations.
Innovation Solution
A signal processing method that performs phase connection processing and error correction on a phase change of reflected signals at each predetermined time, using a Hampel identifier for outlier detection and correction, allowing for real-time processing of measurement data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If phase connection processing is performed on the entire measurement data before outlier correction, then phase connection errors can be corrected, but the calculation amount increases and real-time processing becomes difficult
Solution Approach 1:
The patent segments the phase connection processing into two distinct stages: (1) outlier detection and correction using Hampel identifier, and (2) phase connection processing. This segmentation allows outlier correction to be performed on individual data points independently, enabling real-time processing while maintaining the ability to correct phase connection errors in the second stage.
Solution Approach 2:
The patent performs outlier correction as a preliminary action before phase connection processing. By removing outliers first using the Hampel identifier, the subsequent phase connection processing operates on cleaner data, improving its accuracy and effectiveness while reducing the computational burden of handling erroneous data points.
2Measurement precision
If traditional batch processing is used for phase connection and error correction, then accurate error correction is achieved, but the processing time increases and cannot handle streaming data
Solution Approach 1:
The patent divides the processing into sequential stages that can be executed in real-time: outlier detection, outlier correction, and phase connection processing. Each stage processes data as it becomes available, eliminating the need to wait for complete data sets while maintaining correction accuracy through the systematic application of each processing step.
Solution Approach 2:
The Hampel identifier acts as an intermediary mechanism that enables real-time outlier detection and correction. This intermediary processing step prepares the data for subsequent phase connection processing without requiring batch operations, thus bridging the gap between real-time processing requirements and accurate error correction needs.
3Productivity
If outlier correction is performed without preliminary outlier detection, then phase connection processing can proceed, but erroneous detection of large vibrations occurs due to phase connection errors
Solution Approach 1:
The patent performs outlier detection using the Hampel identifier as a preliminary action before phase connection processing. This preliminary detection identifies and flags erroneous data points that would otherwise cause phase connection errors and lead to false vibration detections, ensuring that subsequent processing operates on reliable data.
Solution Approach 2:
The patent converts the potentially harmful effect of outliers into a benefit by using the Hampel identifier to detect and correct them systematically. What would otherwise be sources of erroneous vibration detection are transformed into identified and corrected anomalies, improving the overall reliability of the measurement system.
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 proposed method reduces the calculation amount and enables real-time processing of measurement data, thereby minimizing erroneous detection of large vibrations caused by phase connection errors.
Implementation Method 1
backscattered light originating from Rayleigh scattering is detected
Data Source
AI summary
In order to achieve the above object, a signal processing method according to the present disclosure includes: a calculation step of calculating a phase change at each of points on a medium from a phase of a reflected signal generated by a pulse signal transmitted to the medium, at each of predetermined times; a phase connection step of performing phase connection processing, at each of the predetermined times, on the phase change at each of the points calculated in the calculation step; and a correction step of detecting an outlier using a phase change at each of the points at the same time at which the phase connection processing is performed in the phase connection step, and correcting the outlier, at each of the predetermined times.