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CN-121994423-A - Optical fiber oil leakage detection method, equipment, medium and product

CN121994423ACN 121994423 ACN121994423 ACN 121994423ACN-121994423-A

Abstract

The embodiment of the application relates to the field of optical fiber sensing and discloses an optical fiber oil leakage detection method, equipment, a medium and a product; the method comprises the steps of arranging a sensing optical fiber along an oil pipe to be detected, transmitting an optical signal to the sensing optical fiber and receiving a reflection signal of the sensing optical fiber, monitoring the change of the reflection signal in real time, processing the reflection signal through a multi-mode feature fusion extraction method, wherein the multi-mode feature fusion extraction method comprises time-frequency domain feature extraction, space domain feature extraction and multi-source data feature fusion, the time-frequency domain feature extraction comprises extraction of spectral features and impact features of oil film diffusion, the space domain feature extraction comprises construction of a concentration gradient field of the oil film diffusion, the space distribution features are extracted by utilizing a neural network, the multi-source data feature fusion comprises synchronous acquisition of multi-source sensing data, and feature cross matrix extraction dimension reduction features, so that interference of steady mechanical noise such as on-site pump valve start and stop and vehicle passing is effectively filtered, and accurate qualitative detection of extremely weak oil leakage events is achieved.

Inventors

  • TANG MINGCHAO
  • WU ZHIYUAN
  • XIE HU

Assignees

  • 上海欣诺通信技术股份有限公司

Dates

Publication Date
20260508
Application Date
20260410

Claims (10)

  1. 1. An optical fiber oil leakage detection method, characterized in that the method comprises the following steps: a sensing optical fiber is arranged along an oil pipe to be measured, an optical signal is emitted to the sensing optical fiber, and a reflection signal of the sensing optical fiber is received; monitoring the change of the reflected signal in real time, and processing the reflected signal by a multi-mode feature fusion extraction method; The multi-mode feature fusion extraction method comprises time-frequency domain feature extraction, spatial domain feature extraction and multi-source data feature fusion; The time-frequency domain feature extraction comprises the steps of extracting spectrum features and impact features of oil film diffusion; The spatial domain feature extraction comprises the steps of constructing a concentration gradient field of oil film diffusion, and extracting spatial distribution features by using a neural network; The multi-source data feature fusion comprises the steps of synchronously collecting multi-source sensing data, constructing a feature cross matrix and extracting dimension-reducing features.
  2. 2. The optical fiber oil leakage detection method according to claim 1, wherein the time-frequency domain feature extraction includes extracting the spectral feature using a short-time fourier transform, and extracting the impact feature in combination with a wavelet transform.
  3. 3. The method of claim 1, wherein the spatial domain feature extraction comprises constructing the concentration gradient field by laser-induced fluorescence or infrared thermal imaging, and extracting the spatial distribution feature using a convolutional neural network.
  4. 4. The method of claim 1, wherein the multi-source sensing data comprises sonar data, radar data, and optical data.
  5. 5. The method of claim 1, wherein routing the sensing fiber along the tubing to be tested comprises: The sensing optical fibers are uniformly and spirally wound on the straight pipe section of the oil pipe to be detected, and the sensing optical fibers are distributed at the elbow of the oil pipe to be detected in a 8-shaped mode.
  6. 6. The method for detecting oil leakage of an optical fiber according to any one of claims 1 to 5, wherein the surface of the encapsulation layer of the sensing optical fiber is coated with a superhydrophobic coating, and the contact angle of the superhydrophobic coating is greater than 150 °.
  7. 7. The method of claim 1, further comprising creating a virtual model of a sensing fiber routing structure in combination with digital twinning techniques, the routing parameters of the sensing fibers being determined by finite element analysis.
  8. 8. An electronic device, the electronic device comprising: one or more processors, and A memory storing computer program instructions that, when executed, cause the processor to perform the steps of the method of any one of claims 1 to 7.
  9. 9. A computer readable medium having stored thereon a computer program/instruction, which when executed by a processor, implements the steps of the method according to any of claims 1 to 7.
  10. 10. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any of claims 1 to 7.

Description

Optical fiber oil leakage detection method, equipment, medium and product Technical Field The application relates to the technical field of optical fiber sensing, in particular to an optical fiber oil leakage detection method, optical fiber oil leakage detection equipment, optical fiber oil leakage detection media and optical fiber oil leakage detection products. Background At present, most of oil leakage detection related technical schemes are adopted, namely a pressure monitoring method which is focused on monitoring fluid change in a pipeline and an ultrasonic detection method which utilizes ultrasonic reflection signals to locate, and the other technical schemes are focused on an infrared imaging method which is used for detecting large-area temperature anomalies through heat radiation differences, and further a fiber grating technology which provides point type high-precision measurement and a distributed vibration sensing technology which is used for long-distance monitoring. However, the technical scheme has various defects in complex oil leakage monitoring scenes such as petroleum industry and the like. First, existing pressure monitoring is insensitive to small leaks and is highly susceptible to disturbances in the flow fluctuations of the pipeline, while ultrasonic detection equipment is often very expensive and requires frequent calibration. Secondly, after the traditional distributed optical fiber sensing technology is directly laid, high-viscosity crude oil is easily attached to the surface of an optical fiber packaging layer to form an acoustic and mechanical buffer layer, so that strain and acoustic signals generated by tiny leakage are seriously attenuated, and the sensing capability of a bottom layer is reduced. In addition, the conventional uniform spiral winding layout mode has extremely poor adaptability in stress concentration areas such as pipe bends and the like, and deformation artifacts are easy to generate or signal missing is easy to generate directly. In addition, the existing optical fiber demodulation and data processing mechanism often depends on single amplitude difference or fixed threshold value alarm, and is extremely easy to be seriously interfered by background noise such as starting and stopping of a pump valve, passing of a vehicle and the like in a complex industrial environment, so that the false alarm rate is high. Meanwhile, the conventional system lacks a joint analysis mechanism for deep feature mining from a time-frequency domain and a space domain, and cannot accurately strip low-frequency spectrum features of oil film diffusion and high-frequency impact features of leakage moments. Finally, most of the existing detection means are in a single-mode independent operation state, lack of a cross fusion and dimension reduction verification mechanism of multi-source sensor data, and are difficult to stably and accurately confirm a tiny oil leakage event in a very challenging field environment. Disclosure of Invention The application aims to provide an optical fiber oil leakage detection method, equipment, medium and product, which are at least used for solving the problems that in the prior art, the bottom layer signal perception is weak due to crude oil adhesion buffering and elbow stress interference, and the false alarm rate of a characteristic judgment mechanism is high under complex environment interference. To achieve the above object, some embodiments of the present application provide the following aspects: In a first aspect, some embodiments of the present application provide a method for detecting an oil leak of an optical fiber, the method comprising: a sensing optical fiber is arranged along an oil pipe to be measured, an optical signal is emitted to the sensing optical fiber, and a reflection signal of the sensing optical fiber is received; monitoring the change of the reflected signal in real time, and processing the reflected signal by a multi-mode feature fusion extraction method; The multi-mode feature fusion extraction method comprises time-frequency domain feature extraction, spatial domain feature extraction and multi-source data feature fusion; The time-frequency domain feature extraction comprises the steps of extracting spectrum features and impact features of oil film diffusion; The spatial domain feature extraction comprises the steps of constructing a concentration gradient field of oil film diffusion, and extracting spatial distribution features by using a neural network; The multi-source data feature fusion comprises the steps of synchronously collecting multi-source sensing data, constructing a feature cross matrix and extracting dimension-reducing features. In a second aspect, some embodiments of the application also provide an electronic device comprising one or more processors and a memory storing computer program instructions that, when executed, cause the processors to perform the steps of the method as described above. In a third a