Intelligent pipeline omnibearing leakage point detection and analysis system

The standard vibration parameters of the pipeline are captured through the quantum sensor ring array, spectrum diagrams are generated and compared and analyzed, which solves the problem of low accuracy in detection of leakage points in the pipeline, and achieves rapid and accurate positioning of leakage points, improving detection efficiency and reliability.

CN120368230AInactive Publication Date: 2025-07-25ANHUI HEZHONG PIPE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510774923.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2025-07-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, the accuracy of pipeline leakage point detection is low, and it is difficult to determine the leakage point position, especially in the early stage of leakage, the capture ability of weak vibration signals is limited, resulting in missing or false alarms.

Method used

The intelligent pipeline all-round leakage point detection and analysis system is adopted, and a quantum sensor ring array is used for 360-degree surround detection, which captures the standard vibration parameter set, generates a standard spectrum map, and determines the leakage point position through comparison and analysis.

Benefits of technology

It realizes accurate assessment of pipeline status, quickly locates leakage points, improves detection efficiency and accuracy, reduces false alarm rates, and ensures the reliability and timeliness of detection results.

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Abstract

The invention discloses an intelligent pipeline omni-directional leakage point detection and analysis system, and relates to the technical field of detection. The pipeline parameter acquisition module performs surrounding detection on a normal pipeline by using a quantum sensor annular array, and captures a standard vibration parameter set which comprises a standard vibration frequency sequence and an amplitude sequence; the parameter comprehensive processing module generates a standard spectrogram, compares the spectrograms of different positions of the to-be-detected pipeline with the standard spectrogram, and evaluates the state of the to-be-detected pipeline; the leakage point positioning and alarming module is responsible for extracting an abnormal pipeline, determining the position of a leakage point and informing an operator; the system also covers specific methods of composition and operation of the annular quantum sensor array, a determination mode of a standard vibration parameter set, standard spectrogram generation and pipeline state evaluation.
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Description

Technical Field

[0001] The present invention belongs to the field of detection technology, and specifically relates to an intelligent pipeline all-round leak point detection and analysis system. Background Art

[0002] With the rapid development of the economy and the continuous advancement of infrastructure construction, various pipelines, as an important part of urban and industrial facilities, their safety and reliability have attracted much attention. Leak point detection at the pipeline factory stage is of utmost importance. In the prior art, pipeline leak point detection mostly relies on means such as manual inspection, ultrasonic detection, or pressure sensor monitoring. Manual inspection has low efficiency and is prone to missed inspections. Ultrasonic detection accuracy is affected by environmental noise interference and it is difficult to accurately locate. While pressure sensors can only reflect the overall pressure change and cannot provide local leakage position information. In addition, the prior art has limited ability to capture weak vibration signals at the initial stage of leakage, which may lead to missed alarms or false alarms. Based on the above problems, this application proposes an intelligent pipeline all-round leak point detection and analysis system. Summary of the Invention

[0003] Aiming at the deficiencies of the prior art, the present invention provides an intelligent pipeline all-round leak point detection and analysis system, which solves the problems of low accuracy in pipeline leak point detection and difficulty in determining the leak point position in the prior art.

[0004] The object of the present invention can be achieved by the following technical solutions: An intelligent pipeline all-round leak point detection and analysis system, which includes the following: A pipeline parameter acquisition module, which uses a quantum sensor to perform 360-degree circumferential detection on a number of the same kind of pipelines determined to be in a normal state by an operator, and captures and determines a standard vibration parameter set associated with the same kind of pipelines. The standard vibration parameter set includes a standard vibration frequency sequence and a standard vibration amplitude sequence. A parameter comprehensive processing module, which generates a standard spectrogram based on the determined standard vibration frequency sequence and standard vibration amplitude sequence. Determine the vibration frequency sequence and vibration amplitude sequence associated with different positions of the pipeline to be tested, generate a spectrogram to be tested associated with different positions, and compare and analyze it with the standard spectrogram to evaluate the state of the pipeline to be tested. If the pipeline to be tested is in a normal state, no processing is performed. A leak point positioning and alarm module, which extracts the pipeline to be tested in an abnormal state, determines the leak point position associated with the pipeline to be tested, and informs the operator.

[0005] As a further solution of the present invention, the pipeline parameter acquisition module collects the standard vibration parameter set depending on an annular quantum sensor array composed of a number of quantum sensors. The parameters of the same kind of pipeline itself are the same, and the parameters of the pipeline itself include: length, thickness, material, aperture, stiffness; The quantum sensors in the ring-shaped quantum sensor array are of the same kind of quantum sensors, and the number is determined by the operator; An electronic shielding layer is equipped outside the ring-shaped quantum sensor array; The ring-shaped quantum sensor array is detected in a segmented detection manner, where the segmented length and the number of segments are determined by the operator; The measurement aperture of the ring-shaped quantum sensor array is adjusted by the operator in combination with the actual application scenario; The pipeline parameter acquisition module further includes a timer to record the duration of segmented detection; The pipeline parameter acquisition module further includes an excitation source with constant power; The excitation source moves synchronously with the ring-shaped quantum sensor array, and the relative position with the ring-shaped quantum sensor array is fixed; The pipeline parameter acquisition module further includes a damper to eliminate pipeline vibration after segmented detection; The pipeline parameter acquisition module further includes a clamping device to clamp the two side boundaries of each pipeline segmented area to ensure the same force on the segmented area; The clamping device is equipped with vibration damping blocks to eliminate the vibration of the clamping device itself.

[0006] As a further solution of the present invention, the specific method for the pipeline parameter acquisition module to capture and determine the specific standard vibration parameter set associated with the same kind of pipeline is: S31. Denote the number of quantum sensors in the ring-shaped quantum sensor array as , and denote quantum sensors as the quantum sensor sequence ; S32. Determine any one pipeline among several pipelines determined to be in a normal state by the operator from any kind of pipeline, divide it into m segments to obtain the segmented pipeline sequence , extract any one segmented pipeline in , where n is the counting index, ; S33. Detect and extract the standard vibration parameters of to obtain groups of standard vibration parameters; Then detect the remaining m - 1 segmented pipelines, summarize the obtained groups of standard vibration parameters and perform average processing to obtain the standard vibration parameter set associated with; S34. Repeat step S33 to process a number of pipelines, and average the obtained standard vibration parameter sets of the pipelines to obtain the standard vibration parameter set associated with the determined type of pipeline.

[0007] As a further aspect of the present invention, the specific manner in which the parameter comprehensive processing module generates a standard spectrogram is as follows: S41. Extract the standard vibration frequency sequence and the standard vibration amplitude sequence from the standard vibration parameter set in chronological order, and perform time alignment; S42. Construct a two-dimensional coordinate system with the vibration frequency as the horizontal axis and the vibration amplitude as the vertical axis, and map the time-aligned standard vibration frequency sequence and the standard vibration amplitude sequence therein to obtain the standard spectrogram associated with the determined type of pipeline. 。

[0008] As a further aspect of the present invention, the specific manner in which the parameter comprehensive processing module evaluates the state of the pipeline to be tested is as follows: Determine the pipeline to be tested that is of the same type as the pipeline ; Divide the pipeline to be tested into p segments, and denote it as the sequence of segmented pipelines to be tested , where p is determined by the operator; Extract any one of the segmented pipelines to be tested , where is the counting index, and the value range is from 1 to p; Extract the associated with the segmented pipeline to be tested in the group of vibration parameter sets, and perform time alignment on the group of vibration frequency sequences and vibration amplitude sequences respectively; Construct two-dimensional coordinate systems identical to , and map the group of vibration frequency sequences and vibration amplitude sequences respectively in the constructed two-dimensional coordinate systems to obtain the number of spectrograms to be tested, denoted as ; Fit the number of spectrograms to be tested to the two-dimensional coordinate system where

[0009] is located for comparative analysis to lock the state of the pipeline to be tested. From extract any one of the spectrograms to be tested , where i is a counting index with a value range from 1 to ; Fit to the two-dimensional coordinate system where is located, obtaining two spectral curves in the same coordinate system. Denote the spectral curve associated with as , and denote the spectral curve associated with as ; Calculate the difference value of the vibration amplitudes of and at the same vibration frequency point, and generate a vibration amplitude difference sequence , where represents the numerical value of the vibration amplitude at any vibration frequency point , represents the numerical value of the vibration amplitude at any vibration frequency point . Adopt: Obtain the total difference area associated with , where is the vibration frequency sampling interval; Obtain the total difference area threshold preset by the operator and compare it with the total difference area ; If , determine that has abnormal vibration conditions. Mark as: suspected leakage section, and lock the pipeline to be tested through multi-segment collaborative verification 's state; If , continue to judge the remaining segmented pipelines. If all the pipelines to be tested in the segmented pipelines do not have abnormal vibration conditions, determine that is in a normal state.

[0010] As a further solution of the present invention, the specific method for the parameter comprehensive processing module to lock the state of the pipeline to be tested through multi-segment collaborative verification is: If is a suspected leakage section, then extract a total of k segmented pipelines in that are closest to the straight line distance, where k is a numerical value preset by the operator; Verify whether there are abnormal vibration conditions in the k segmented pipelines extracted; If any segmented pipeline is marked as a suspected leakage section, determine is an abnormal state; If none of the k segmented pipes are marked as suspected leakage segments, it is determined that is a normal state.

[0011] As a further solution of the present invention, the specific method for the leak point positioning and alarm module to determine the leak point position associated with the pipeline to be measured is as follows: If is in an abnormal state, extract the total difference area in which is greater than the total difference area threshold and the segmented pipe with the largest value , where is the counting index, and its value range is from 1 to p; Take the sum of the lengths of r segmented lengths , and determine that the distance of the leak point position from the start end of the pipeline is , and notify the operator.

[0012] Advantages of the present invention: This application uses a quantum sensor ring array to achieve 360-degree surround detection, accurately capture the standard vibration parameter set of the pipeline, including the frequency and amplitude sequences, laying a foundation for accurate analysis; by generating a standard spectrogram and comparing it with the spectrogram of the pipeline to be measured, the accurate assessment of the pipeline state is realized; especially in terms of leak point positioning and alarm, it can quickly extract abnormal pipelines and determine the leak point position to inform the operator, effectively improving the detection efficiency and accuracy; at the same time, the system is equipped with an electronic shielding layer, a damper, a clamping device and vibration damping blocks, etc., to optimize the detection process in all aspects, reduce the influence of environmental noise and clamping interference, and ensure the measurement accuracy and stability; in addition, its segmented detection method combines an adjustable measurement aperture and a timer, enhancing flexibility and adaptability, meeting the detection needs of different pipelines, and bringing an efficient, accurate and reliable solution for pipeline leak detection; This application obtains a precise and reliable standard vibration parameter set through multiple measurements and averaging processing, extracts the standard vibration frequency sequence and amplitude sequence based on the obtained standard vibration parameter set and performs time-scale alignment to ensure the consistency and comparability of the data, and then obtains an intuitive and clear standard spectrogram by constructing a two-dimensional coordinate system and mapping the sequence, quantitatively and visually displaying the data in the form of a chart, providing a data basis for the subsequent assessment of the state of the pipeline to be measured; This application calculates the vibration amplitude difference sequence and obtains the total difference area, and judges whether there is abnormal vibration in the pipeline according to the threshold determined by the operator, effectively improving the detection accuracy and reducing the false alarm rate; further, a multi-segment collaborative verification method is used to lock the state of the pipeline to be measured, avoiding false conclusions caused by single-point misjudgment and ensuring the reliability of the detection results; finally, the system locates the leakage point quickly and accurately by determining the segmented pipeline with the largest total difference area and calculating the leakage point position, providing support for timely maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below with reference to the accompanying drawings.

[0014] Figure 1 is a schematic structural diagram of the system of the present invention; Figure 2 is a schematic flow diagram of the method described in Embodiment 2 of the present invention; Figure 3 is a schematic flow diagram of the method described in Embodiment 3 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0016] Embodiment 1 The intelligent pipeline all-round leakage point detection and analysis system, as Figure 1 shown, specifically includes the following steps: This system relies on the collaborative cooperation of multiple modules, including a pipeline parameter acquisition module, a parameter comprehensive processing module, and a leakage point positioning and alarm module; Specifically, the pipeline parameter acquisition module is used to acquire pipeline-related parameters. In this solution, the main parameter is the vibration parameter. This solution uses the different vibration parameters generated between a homogeneous and leak-free pipeline and a leaky pipeline to distinguish whether the pipeline to be measured is a normal state pipeline or an abnormal state pipeline; The pipeline parameter acquisition module includes a ring quantum sensor array, an electronic shielding layer, a timer, an excitation source, a damper, a vibration stop block, and a clamping device; Among them, the ring quantum sensor array is composed of several (the specific number is determined by the operator according to the actual situation) quantum sensors of the same type arranged in a ring and fixed, and the aperture of the pipeline measured by the ring quantum sensor array can be adjusted according to the actual situation, and it should be ensured that the vibration parameters of the pipeline can be effectively measured; When the described ring-shaped quantum sensor array in this solution detects a pipeline, it is necessary to ensure that the pipeline itself parameters of pipelines in the same batch are the same. The pipeline itself parameters include length, thickness, material, pore diameter, and stiffness; The electronic shielding layer is installed on the outer side of the ring-shaped quantum sensor array, covering the entire ring-shaped quantum sensor array, and should satisfy that the electronic shielding layer can effectively suppress the influence of vibration interference sources in the external environment on the ring-shaped quantum sensor array during actual measurement, and to a certain extent improve the accuracy of detecting pipeline vibration parameters; The ring-shaped quantum sensor array adopts a segmented detection method, that is, the entire pipeline is evenly divided. For example, it is divided into ten segments. Then the ring-shaped quantum sensor array starts measuring from the first segment and continuously measures backward until the tenth segment (from the start end to the end end of the pipeline). Here, it involves how to segment the pipeline, and it is necessary to consider the performance of the ring-shaped quantum sensor array used (the range of measuring vibration parameters) and the length of the pipeline itself, and then the operator finally determines the segmented length and the number of segments of the corresponding pipeline; The timer is used to record the duration of each segmented measurement of the ring-shaped quantum sensor array. By jointly processing the measured duration and the vibration parameters, it can reflect the change degree of the vibration frequency and vibration amplitude in the vibration parameters over time, and by setting the maximum duration of the segmented measurement, it can effectively ensure that the measurement time of each segmented pipeline after segmentation in the pipeline is the same, and to a certain extent reduce the differential problem caused by uneven measurement time; The pipeline parameter acquisition module also includes an excitation source. The excitation source is integrated with the ring-shaped quantum sensor array, and the relative position with the ring-shaped quantum sensor array is fixed, and the excitation source moves synchronously with the ring-shaped quantum sensor array, and is used to make the pipeline vibrate during the process of the ring-shaped quantum sensor array measuring the pipeline vibration parameters. The power of the excitation source is constant to ensure that the vibration of the pipeline is the same during segmented measurement; The pipeline parameter acquisition module also includes a damper, which is also integrated with the ring-shaped quantum sensor array, and is used to eliminate the vibration of the pipeline itself after each segmented measurement is completed to prevent affecting the measurement accuracy of the next segmented pipeline; The pipeline parameter acquisition module also includes a clamping device. When the ring-shaped quantum sensor array performs segmented measurement, the clamping device is used to clamp the head and tail ends of the segmented pipeline. By doing so, it can ensure that the force conditions of the segmented pipeline are the same during each segmented measurement, because different force conditions will have a significant impact on the pipeline vibration parameters; When the clamping device is connected to the pipeline, it will be affected by the pipeline vibration and vibrate. Therefore, vibration dampers need to be equipped on the clamping device to eliminate or minimize the vibration of the clamping device itself and reduce the interference with the measurement accuracy; So far, the pipeline parameter acquisition module performs a 360-degree circumferential detection on several identical pipelines determined to be in a normal state by the operator. It is necessary to first measure the vibration parameters of the normal pipelines, which will be used as the basis for standard setting in the subsequent operation process (when a problematic pipeline appears, there will be a deviation from the standard, and based on this, it can be determined whether the pipeline is a normal pipeline or an abnormal pipeline); Summarize the vibration parameters of several normal pipelines obtained from the final measurement and perform multiple averaging processes to obtain the standard vibration parameter set associated with this type of pipeline; Similarly, use this method to perform the same processing on other types of pipelines, obtain the standard vibration parameter sets of other types of pipelines, and then extract the standard vibration frequency sequence and the standard vibration amplitude sequence from the standard vibration parameter sets. Both the standard vibration frequency sequence and the standard vibration amplitude sequence are sequences related to the time line.

[0017] The parameter comprehensive processing module is used to process the standard vibration frequency sequence and the standard vibration amplitude sequence to generate the standard spectrogram associated with this type of pipeline. The standard spectrogram uses frequency as the horizontal axis and vibration amplitude as the vertical axis, associating the vibration frequency with the corresponding vibration amplitude to form a curve, thus clearly showing the vibration characteristic distribution of this type of pipeline in the standard state. The standard spectrogram can not only intuitively reflect the change law of the vibration amplitude of the pipeline at different frequencies, but also help the operator quickly determine the characteristic frequency points and vibration intensity distribution areas of the pipeline; The parameter comprehensive processing module includes a data storage unit for storing the results calculated or analyzed in this solution.

[0018] Then extract the vibration frequency sequence and the vibration amplitude sequence associated with the positions of different segments of the pipeline to be measured, generate the measured spectrograms associated with the positions of different segments of the pipeline to be measured, and compare and analyze the measured spectrograms with the standard spectrograms to evaluate the state of the pipeline to be measured. If the pipeline to be measured is in a normal state, no processing is required; If the pipeline to be measured is in an abnormal state, it will enter the leak point location and alarm module to process the subsequent process.

[0019] The leak point location and alarm module extracts the pipeline to be measured determined to be in an abnormal state by the parameter comprehensive processing module, further determines the leak point location associated with the pipeline to be measured in an abnormal state, and alarms the operator.

[0020] In this embodiment, the system realizes pipeline status detection and leak point location and alarm through multi-module collaboration; the pipeline parameter acquisition module includes components such as a ring quantum sensor array, which can acquire vibration parameters and distinguish normal and abnormal pipelines; it uses an electronic shielding layer to prevent interference, detects the pipeline in segments, and judges the pipeline status by the vibration parameter differences between homogeneous non-leaky and leaky pipelines; the parameter comprehensive processing module processes the vibration parameters to generate a standard spectrogram to display the vibration characteristics of the pipeline; the leak point location and alarm module locates the leak point of the abnormal pipeline and alarms; the purpose of this system is to accurately detect the pipeline status, timely discover leak points and alarm to ensure the safe operation of the pipeline.

[0021] Embodiment 2 On the basis of Embodiment 1, this embodiment further discloses a method for capturing and determining the standard vibration parameter set associated with the same type of pipeline and generating a standard spectrogram, as Figure 2 shown, which specifically includes the following steps: As described in Embodiment 1, before implementing the whole method, it is necessary to first measure the vibration parameters of the normal pipeline, which serves as the basis for standard formulation in the subsequent operation process; First, it is necessary to determine the number of quantum sensors in the ring quantum sensor array, and denote the number of quantum sensors as , and then, according to the established arrangement order in the ring quantum sensor array, denote quantum sensors as a quantum sensor sequence, where the established order is determined by the operator for the first quantum sensor, and then extracted in a clockwise order until the last quantum sensor in the ring quantum sensor array; The quantum sensor sequence is expressed as: ; Then, determine any type of pipeline, extract any one of several pipelines with a normal state determined by the operator as this type of pipeline for example processing, and the remaining pipelines are processed in the same way as the processing pipeline ; Next, it is necessary to perform segment processing on the pipeline , and the segment processing is determined by the operator in combination with the actual situation. Determine the number of segments of the pipeline , denoted as m, and denote the pipeline after segment processing as a segmented pipeline sequence, expressed as: ; Extract any one segmented pipeline from the determined segmented pipeline sequence and denote it as segmented pipeline , where n is a counting index, and the value range is from 1 to m; By using the ring quantum sensor array to detect the segmented pipeline The associated standard vibration parameters. Since there are quantum sensors in total, groups of standard vibration parameters are obtained. Among them, the standard vibration parameters represent the data measured during the duration of segmented measurement; the duration is determined by the timer in combination with the time preset by the operator; Similarly, after determining the standard vibration parameters associated with the segmented pipeline , the standard vibration parameters of the remaining m - 1 segmented pipelines are synchronously determined. Finally, groups of standard vibration parameters ( segmented pipelines, quantum sensors) can be obtained. The groups of standard vibration parameters obtained are averaged, and finally the standard vibration parameter set associated with the pipeline is obtained; After processing the pipeline , the standard vibration parameter set associated with the pipeline is obtained. According to this method, the remaining pipelines of the same type are processed. There are several pipelines of the same type in total, and several standard vibration parameter sets are obtained. The several standard vibration parameter sets obtained from the last measurement are averaged, and finally the standard vibration parameter set associated with this type of pipeline (a pipeline of a certain type) can be determined (the above is the standard vibration parameter associated with any one pipeline in a certain type, with remarks for distinction); Based on the standard vibration parameter set associated with the determined type of pipeline, the standard vibration frequency sequence and the standard vibration amplitude sequence are respectively extracted from the standard vibration parameter set in the order of the time line, and the standard vibration frequency sequence and the standard vibration amplitude sequence are subjected to time scale alignment processing; Then, according to the method described in Embodiment 1, a two-dimensional coordinate system is constructed with the numerical value of the vibration frequency as the horizontal axis and the numerical value of the vibration amplitude as the vertical axis, and the obtained standard vibration frequency sequence and standard vibration amplitude sequence associated with the determined type of pipeline are mapped on the constructed two-dimensional coordinate system to obtain the standard spectrogram associated with the determined type of pipeline, denoted as .

[0022] In this embodiment, by measuring the vibration parameters of a normal pipeline as a basis, the number of quantum sensors in the ring-shaped quantum sensor array is determined and arranged in order. Several pipelines of the same type in the normal state are selected, and the operator determines the number of pipeline segments in combination with the actual situation and processes them in segments. The ring-shaped quantum sensor array is used to detect the standard vibration parameters of each segmented pipeline, and the standard vibration parameters of multiple segmented pipelines are averaged to obtain the standard vibration parameter set of a single pipeline. After processing multiple pipelines of the same type in sequence and averaging again, the standard vibration parameter set of this type of pipeline is determined. Then, the standard vibration frequency sequence and the standard vibration amplitude sequence are extracted from the standard vibration parameter set according to the time line and time-scale alignment is performed. A two-dimensional coordinate system is constructed with the vibration frequency as the horizontal axis and the vibration amplitude as the vertical axis, and the corresponding sequences are mapped onto it to obtain the standard frequency spectrum diagram. The purpose is to provide an accurate benchmark for pipeline vibration monitoring, achieving the technical effect of accurately determining the standard vibration characteristics of pipelines of the same type, so that the vibration state of the pipeline can be effectively analyzed and evaluated based on this standard frequency spectrum diagram in the future, and abnormal situations can be detected in time.

[0023] Embodiment 3 On the basis of Embodiment 1 and Embodiment 2, this embodiment further discloses a method for evaluating the state of a pipeline to be measured and determining the leakage point position of an abnormal pipeline to be measured, as Figure 3 shown, specifically including the following steps: Determine the pipeline to be measured that is of the same type as the pipeline , and process the pipeline to be measured according to part of the method for processing the pipeline . First, it is necessary to segment the pipeline to be measured , and record the final number of segments of the pipeline to be measured as p, and extract the pipeline segments to be measured in sequence according to the order of segmentation, obtaining the sequence of pipeline segments to be measured, expressed as: , where p is determined by the operator in combination with the actual situation; Then, extract any one of the pipeline segments to be measured in the sequence of pipeline segments to be measured , and record it as the pipeline segment to be measured , where is the counting index, and the value range is from 1 to p; Similarly, use the ring-shaped quantum sensor array in the pipeline parameter acquisition module to detect the pipeline segment to be measured , and obtain the vibration parameters associated with the pipeline segment to be measured . There are groups of vibration parameters. Among them, each group of vibration parameters includes a vibration frequency sequence and a vibration amplitude sequence within the corresponding segmented measurement duration, and the vibration frequency sequence and the vibration amplitude sequence in each group of vibration parameters are subjected to time-scale alignment processing; Generate A two-dimensional coordinate system with the same coordinate system as the standard spectrogram, and the obtained Set of vibration parameters is mapped onto the constructed Two-dimensional coordinate system to obtain A spectrogram to be measured. Denote the obtained A spectrogram to be measured as ; ; Extract any one of the determined Spectrograms to be measured And denote it as , where i is a counting index with a value range from 1 to ; Then fit the extracted spectrogram to be measured Into the two-dimensional coordinate system where the standard spectrogram Is located, obtaining two spectral curves in the same coordinate system, namely the spectral curve associated with the spectrogram to be measured And the spectral curve associated with the standard spectrogram . Denote the spectral curve associated with the spectrogram to be measured As , and the spectral curve associated with the standard spectrogram As ; Determine the vibration amplitudes of the spectral curve And the spectral curve At any one same vibration frequency point , and calculate the difference value. Repeat this step to generate the vibration amplitude difference sequence associated with the spectral curve And the spectral curve , expressed as: , where, Represents the value of the vibration amplitude at any one vibration frequency Associated with the horizontal axis scale of the spectral curve in the two-dimensional coordinate system , Represents the value of the vibration amplitude of the spectral curve At the vibration frequency . By adopting: , obtain the total difference area associated with the vibration amplitude difference sequence , where, Is the vibration frequency sampling interval, determined by the characteristics of the quantum sensors in the ring-shaped quantum sensor array; Up to this point, the total difference area associated with the vibration amplitude difference sequence between the spectral curve And the spectral curve Can be obtained , then obtain the total difference area threshold determined by the operator according to the actual situation , the total difference area threshold , the larger the value of the total difference area threshold , the lower the accuracy of judging the suspected leakage section. The smaller the value of the total difference area threshold , the higher the accuracy of judging the suspected leakage section. That is, the accuracy of judging the suspected leakage section is inversely proportional to the value of the total difference area threshold Compare the total difference area with the total difference area threshold . If the total difference area is less than the total difference area threshold , then continue to judge the remaining pipeline segments to be tested. If there is no abnormal vibration in all the pipeline segments to be tested in the pipeline to be tested , it is determined that the pipeline to be tested is in a normal state; If the total difference area is greater than or equal to the total difference area threshold , then it is determined that there is an abnormal vibration in the pipeline segment to be tested , and the pipeline segment to be tested is marked as: suspected leakage section; If the pipeline segment to be tested is determined as a suspected leakage section, then to the pipeline segment to be tested Extract a total of k pipeline segments to be tested with the closest straight-line distance to the pipeline segment to be tested in the pipeline to be tested , where k is a value preset by the operator. Continue to verify whether there is abnormal vibration in the k pipeline segments to be tested extracted. If it is determined that all the pipeline segments in the k pipeline segments extracted are not suspected leakage sections, then the pipeline to be tested is regarded as a normal state; If it is determined that at least one pipeline segment to be tested in the k pipeline segments to be tested is a suspected leakage section, then it is determined that the pipeline to be tested is in an abnormal state. Then extract the total difference area in the pipeline to be tested The pipeline segment with the largest total difference area is greater than the total difference area threshold and is denoted as , where is the counting index, and the value range is from 1 to p; If it is determined that the pipeline to be tested is in an abnormal state, then extract the pipeline segment with the largest value of the total difference area in the pipeline to be tested and is denoted as , where is the total difference area. The largest pipeline segment is denoted as , where is a counting index, with a value range of 1 to p, and then calculate the sum of the lengths of segments, denoted as to determine that the distance of the leak point from the start end of the pipeline is and notify the operator for corresponding handling.

[0024] The purpose of this embodiment is to segment the pipeline to be measured, use the ring quantum sensor array to obtain the vibration parameters of each segmented pipeline, generate the spectrum diagram to be measured, compare and analyze it with the standard spectrum diagram, calculate the total difference area of the vibration amplitude difference sequence, so as to judge whether there is abnormal vibration in the segmented pipeline to be measured, and then determine whether the pipeline is in a normal state or an abnormal state. If it is in an abnormal state, the suspected leakage section can also be determined and the operator can be notified to handle it, so as to achieve accurate detection of the pipeline state and leak point positioning.

[0025] Some of the data in the above formulas are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0026] The above content is only an example and explanation of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

[0027] It should be stated that all user data collected in this application are collected with the consent and authorization of the users. And the uses of user data are all legal and compliant, and the use and processing of user data comply with the relevant laws, regulations and standards of the relevant regions.

Claims

1. An intelligent pipeline all-round leak point detection and analysis system, characterized in that, The system includes the following: A pipeline parameter acquisition module that uses quantum sensors to perform 360-degree circumferential detection on several pipelines of the same type determined to be in a normal state by the operator, and captures and determines the standard vibration parameter set associated with the pipelines of the same type; The standard vibration parameter set includes a standard vibration frequency sequence and a standard vibration amplitude sequence; A parameter comprehensive processing module that generates a standard spectrogram based on the determined standard vibration frequency sequence and standard vibration amplitude sequence; Determine the vibration frequency sequence and vibration amplitude sequence associated with the pipeline under test at different positions to generate the spectrogram under test associated with different positions, and compare and analyze it with the standard spectrogram to evaluate the state of the pipeline under test; If the pipeline under test is in a normal state, no processing is performed; A leak point location and alarm module that extracts the pipeline under test in an abnormal state, determines the leak point location associated with the pipeline under test, and informs the operator; 2. The intelligent pipeline all-round leak point detection and analysis system according to claim 1, wherein The pipeline parameter acquisition module acquires the standard vibration parameter set relying on a ring-shaped quantum sensor array composed of several quantum sensors; The pipeline itself parameters of the pipelines of the same type are all the same, and the pipeline itself parameters include: length, thickness, material, aperture, stiffness; The quantum sensors in the ring-shaped quantum sensor array are of the same type of quantum sensors, and the number is determined by the operator; An electronic shielding layer is equipped outside the ring-shaped quantum sensor array; The ring-shaped quantum sensor array performs detection in a segmented detection manner, where the segmented length and the number of segments are determined by the operator; The measurement aperture of the ring-shaped quantum sensor array is adjusted by the operator in combination with the actual application scenario; The pipeline parameter acquisition module also includes a timer that records the duration of segmented detection; The pipeline parameter acquisition module also includes an excitation source with constant power; The excitation source moves synchronously with the ring-shaped quantum sensor array, and the relative position with the ring-shaped quantum sensor array is fixed; The pipeline parameter acquisition module also includes a damper that eliminates pipeline vibration after segmented detection; The pipeline parameter acquisition module also includes a clamping device that clamps the two side boundaries of each pipeline segmented area to ensure the same force on the segmented area; The clamping device is equipped with vibration damping blocks to eliminate the vibration of the clamping device itself; 3. The intelligent pipeline all-round leak point detection and analysis system according to claim 1, characterized in that The specific method for the pipeline parameter acquisition module to capture and determine the standard vibration parameter set associated with the pipelines of the same type is: S31. Denote the number of quantum sensors in the ring-shaped quantum sensor array as , and denote quantum sensors as the quantum sensor sequence ; S32. Determine any one of several pipes determined to be in a normal state by the operator from any one of the pipes , divide it into m segments to obtain a segmented pipe sequence , extract any one of the segmented pipes , where n is a counting index ; S33. Detect and extract the standard vibration parameters to obtain a set of standard vibration parameters; Then, the remaining m - 1 segmented pipelines are detected, and the group of standard vibration parameters obtained are averaged to obtain the associated set of standard vibration parameters; S34. Repeat step S33, process several pipelines, and average the obtained several standard vibration parameter sets to obtain the standard vibration parameter set associated with the pipelines of the determined type.

4. The intelligent pipeline all-round leak point detection and analysis system according to claim 1, characterized in that The specific method for the parameter comprehensive processing module to generate a standard spectrogram is: S41. Extract the standard vibration frequency sequence and the standard vibration amplitude sequence from the standard vibration parameter set in chronological order and perform time alignment; S42. Construct a two-dimensional coordinate system with the vibration frequency as the horizontal axis and the vibration amplitude as the vertical axis. Map the time-aligned standard vibration frequency sequence and standard vibration amplitude sequence into it to obtain the standard spectrogram associated with the pipeline of the determined type. .

5. The intelligent pipeline all-round leak point detection and analysis system according to claim 4, characterized in that The specific method for the parameter comprehensive processing module to evaluate the state of the pipeline under test is: Determine the pipeline to be tested, which is the same type of pipeline ; The pipeline to be measured is divided into p segments, which are denoted as the pipeline segment sequence to be measured , where p is determined by the operator; Extraction any one of the pipeline segments to be measured , where is a counting index, and its value range is from 1 to p; Extract the segmented pipeline to be measured associated with in the group of vibration frequency sequences and vibration amplitude sequences of the group of vibration parameters are respectively time-aligned; Construct a two-dimensional coordinate system identical to and map a set of vibration frequency sequences and vibration amplitude sequences respectively in the constructed two-dimensional coordinate system to obtain a to-be-measured frequency spectrum diagram denoted as ; Fit the spectrograms to be measured into the two-dimensional coordinate system where is located for comparative analysis to lock the state of the pipeline to be measured.

6. The intelligent pipeline all-round leak point detection and analysis system according to claim 5, characterized in that The specific method for the parameter comprehensive processing module to lock the state of the pipeline under test is: Extract any one of the spectrum diagrams to be measured from , where i is a counting index, and its value range is from 1 to ; Fit to the two-dimensional coordinate system where is located, obtaining two spectral curves in the same coordinate system. Denote the spectral curve associated with as , and denote the spectral curve associated with ; Calculation and the difference value of the vibration amplitude at the same vibration frequency point, and generate a vibration amplitude difference sequence , where represents the numerical value of the vibration amplitude at any vibration frequency point and represents the numerical value of the vibration amplitude at any vibration frequency point . Adopt: Obtain the total associated difference area , where is the vibration frequency sampling interval; Obtain the total difference area threshold preset by the operator And compare it with the total difference area For comparison; If , it is determined that there is an abnormal vibration situation, and is marked as: suspected leakage section, and the state of the pipeline to be measured is locked through multi-segment collaborative verification ; If , continue to judge the remaining segmented pipelines. If there is no abnormal vibration in all the segmented pipelines to be measured, it is determined that it is in a normal state.

7. The intelligent pipeline all-round leakage point detection and analysis system according to claim 6, characterized in that The parameter comprehensive processing module locks the pipeline to be measured through multi-segment collaborative verification The specific method for the status is as follows: If is a suspected leakage section, then extract a total of k segmented pipelines in that are closest to in terms of straight-line distance, where k is a value preset by the operator; Verify whether there is abnormal vibration in the k segmented pipelines extracted; If any segmented pipeline is marked as a suspected leakage section, it is determined to be in an abnormal state; If none of the k segmented pipelines is marked as a suspected leakage section, it is determined that it is in a normal state.

8. The intelligent pipeline all-round leak point detection and analysis system according to claim 7, characterized in that, The specific method for the leak point location and alarm module to determine the leak point location associated with the pipeline under test is: If is an abnormal state, extract the total differential area in that is greater than the total differential area threshold and the segmented pipeline with the largest value , where is the counting index, and its value range is from 1 to p; Take the sum of the lengths of r segments , determine that the distance of the leak point from the start end of the pipeline is , and notify the operator.