Optical Fiber Pipeline Leak Monitoring With Baseline Drift Correction
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Solution Overview
Problem
Existing optical fiber leak detection methods for pipeline monitoring suffer from data redundancy, high power consumption, and demodulation failures due to signal baseline drift and jump, which are not effectively addressed by current preprocessing techniques, especially in miniaturized low-power devices.
Innovation Solution
A pipeline leakage monitoring method and system that employs a de-biasing method using dichotomy to quickly find the median and correct the integration starting point in real time, simplifying data processing and reducing data transmission by constructing a mapping relationship between original data and leakage parameters, thereby eliminating signal baseline drift and jump, and optimizing data preprocessing to reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-order filter is used for filtering, then filtering performance is improved, but calculation amount increases hugely
Solution Approach 1:
The patent segments the filtering process into multiple low-order filter stages instead of using a single high-order filter. Each stage processes a portion of the frequency spectrum, dividing the complex calculation task into manageable segments that can be executed efficiently on low-performance SOCs.
Solution Approach 2:
The patent implements adaptive filtering where the filtering parameters and window sizes are dynamically adjusted based on the signal characteristics and processing stage. This allows the system to optimize calculation resources in real-time, maintaining high filtering performance while minimizing computational burden on embedded devices.
2Loss of information
If original data is directly uploaded to cloud platform, then data completeness is improved, but transmission pressure and power consumption increase
Solution Approach 1:
The patent extracts only the essential leakage detection features and parameters from the original vibration data before uploading to the cloud platform. By identifying and transmitting only the relevant leakage indicators rather than complete raw data, the system maintains effective monitoring capability while dramatically reducing transmission volume and power consumption.
Solution Approach 2:
The patent performs preliminary data processing, feature extraction, and preliminary analysis at the edge device before cloud transmission. This preliminary action prepares the data in advance, filtering out redundant information and pre-processing signals so that only critical information needs to be transmitted and further processed in the cloud.
3Speed
If integration starting point is not corrected, then demodulation speed is maintained, but cumulative effect causes data overflow
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors the integration process and detects baseline drift. When drift is detected, the system automatically adjusts the integration starting point by identifying the median value and recalibrating accordingly, creating a closed-loop control system that maintains both speed and accuracy.
Solution Approach 2:
The patent dynamically changes the integration parameters, specifically adjusting the integration starting point based on real-time signal characteristics. By modifying this key parameter in response to detected drift conditions, the system eliminates cumulative effects while preserving efficient demodulation performance.
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 method effectively eliminates signal baseline drift and jump, reduces data redundancy, and lowers power consumption by simplifying data processing and transmission, ensuring reliable real-time operation on low-power devices while maintaining low-frequency response.
Implementation Method 1
the optical fiber leak detection method mainly converts vibration signals into phase changes of optical based on a balanced interferometer
Implementation Method 2
converts the optical signals into electrical signals through a photoelectric detector
Data Source
AI summary
A pipeline leakage monitoring method and system based on optical fiber sensing are provided, and belongs to the technical field of pipeline leakage monitoring. The disclosure eliminates the jump and drift of the signal baseline by quickly finding the median by dichotomy, and corrects the position of the integration starting point in real time to eliminate the cumulative effect, while retaining the low-frequency response of the sensor. The specific positions of the entry point and the exclusion point of the moving window in the sorted window data are quickly found by dichotomy, the execution speed of the method is greatly accelerated. By constructing the mapping relationship between original data and leakage parameter, a large number of redundant and invalid original data are simplified into leakage parameters equal to the number of segmented vibration data after preprocessing.