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Dynamic early warning method for third-party construction along pipeline based on SVM and time-frequency domain features

A technology of dynamic early warning and time-domain characteristics, which is applied to measuring devices, instruments, and measuring ultrasonic/sonic/infrasonic waves, etc., can solve the problems of complex interfering activities, difficulty in realizing accurate early warning of construction conditions along the line, and reduce the cost of manual inspection , Improve accuracy and improve efficiency

Inactive Publication Date: 2020-08-14
浙江浙能天然气运行有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the wide distribution of oil and gas pipelines, the terrain and landform they pass through are different, and the disturbing activities nearby are complex. If only the vibration sources along the pipeline are treated in the same way, the soil, soil quality, human life, weather, Influenced by factors such as high-consequence areas, it is difficult to achieve accurate early warning of construction conditions along the line

Method used

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  • Dynamic early warning method for third-party construction along pipeline based on SVM and time-frequency domain features
  • Dynamic early warning method for third-party construction along pipeline based on SVM and time-frequency domain features
  • Dynamic early warning method for third-party construction along pipeline based on SVM and time-frequency domain features

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Embodiment 1

[0043] In this embodiment, distributed optical fiber sensors are laid along the long-distance oil and gas pipelines, which are buried about 3-5 meters deep underground like the oil and gas pipelines. The back Rayleigh scattered light intensity along the axial direction in the optical fiber is detected by technology, and the specific position of the disturbance event is located according to the coherent interference result of the returned back Rayleigh scattered light, and according to the difference of the interference waveform, the Accurate classification and identification of vibration sources.

[0044] Specifically, such as figure 1 As shown, in this example the Distributed optical fiber disturbance sensing system consists of three parts, including distributed optical fiber vibration sensor, data acquisition module and computer.

[0045] Distributed optical fiber vibration sensors specifically include: ultra-narrow linewidth lasers, acousto-optic modulators, erbium-dope...

Embodiment 2

[0110] The difference between the third-party construction dynamic early warning method along the pipeline based on SVM and time-frequency domain characteristics of this embodiment and embodiment 1 is that:

[0111] In the process of extracting the corresponding time-domain features from the waveform of the suspicious band:

[0112] Only retain the time-domain features extracted from the waveform of the suspicious band as the time-domain features corresponding to the suspicious band;

[0113] Or, only retain the time-domain features that are first differentially processed and then extracted from the waveform of the suspicious band, as the time-domain feature corresponding to the suspicious band;

[0114] To meet different application requirements.

[0115] Other steps can refer to embodiment 1.

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Abstract

The invention relates to a dynamic early warning method for third-party construction along a pipeline based on SVM and time-frequency domain features. The method comprises the steps of S1 collecting waveform data in real time, carrying out the threshold triggering and data preprocessing of the waveform data, and obtaining a suspicious waveband and a corresponding suspicious defense area; S2 extracting corresponding time domain features and frequency domain features according to the waveform of the suspicious waveband, and obtaining dynamic space-time big data information corresponding to the suspicious defense area, wherein the dynamic space-time big data information comprises time information, GIS information, weather information and high consequence area information; and S3 inputting thetime domain features, the frequency domain features and the dynamic space-time big data information into an SVM prediction model, and judging whether a vibration source corresponding to the waveformof the suspicious waveband is constructed by a third party or not in real time so as to perform early warning. According to the method, dynamic space-time big data information of each defense area isconsidered, and dynamic intelligent early warning is realized for third-party construction in combination with time domain features and frequency domain features of waveforms.

Description

technical field [0001] The invention belongs to the technical field of security along oil and gas pipelines, and in particular relates to a dynamic early warning method for third-party construction along pipelines based on SVM and time-frequency domain characteristics. Background technique [0002] Construction by third parties within the safe scope of the pipeline is collectively referred to as "third-party construction". For a long time, huge manpower and financial resources have been invested to maintain the integrity of oil and gas pipelines and prevent third-party construction damage. However, third-party construction of oil and gas pipelines is highly random, difficult to predict and control, and makes monitoring difficult. [0003] Distributed fiber optic vibration sensor is a fiber optic sensing system developed in recent years for real-time measurement of spatial vibration distribution. The optical cable laid in the same trench as the pipeline is used as the sensin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H9/00G06K9/62
CPCG01H9/004G06F18/2411
Inventor 李清毅陈积明解剑波滕卫明钱济人杨秦敏范海东张国民周元杰丁楠沈佳园吕海舟
Owner 浙江浙能天然气运行有限公司
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