Pipeline safety monitoring methods and systems

Abstract

This invention relates to a pipeline safety monitoring method and system, belonging to the field of pipeline monitoring technology. The pipeline safety monitoring method includes: acquiring vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by strain optical cables laid parallel to both sides of the pipeline; determining a vibration feature vector at a first time scale based on the vibration data; determining a vibration feature at a second time scale based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale; matching target external behaviors corresponding to the vibration feature vector, the vibration features, and the strain data in a preset external behavior sample library; and performing pipeline safety early warning based on the type of the target external behavior and the positional relationship between the target external behavior and the strain optical cable. This invention can provide safety warnings before pipeline damage occurs, making pipeline safety monitoring more accurate and timely.

Description

Technical Field

[0001] This invention relates to the field of pipeline monitoring technology, and in particular to a pipeline safety monitoring method and system. Background Technology

[0002] Pipelines are important energy transport carriers with many applications and wide coverage. Once a failure occurs, it will have a significant impact on people's lives, environmental health and production stability.

[0003] Third-party sabotage of pipelines refers to accidental damage to pipelines caused by the actions of non-pipeline personnel. Statistics show that third-party sabotage has become a major cause of pipeline failures. To ensure pipeline safety and prevent human-caused damage, effective monitoring of the surrounding environment is necessary to achieve early warning systems. Traditionally, inspections for third-party sabotage rely primarily on manual patrols and drone patrols. However, pipelines are typically laid over large areas with complex environments, making manual patrols time-consuming. Drone patrols struggle to provide comprehensive, real-time monitoring across large areas, making it difficult to proactively prevent the random and covert nature of third-party sabotage, especially illegal activities such as drilling for oil theft.

[0004] This shows that existing technologies cannot provide real-time and accurate safety monitoring for pipelines with wide coverage and complex environments along the route. Summary of the Invention

[0005] In view of this, it is necessary to provide a pipeline safety monitoring method and system to solve the problem that existing technologies cannot accurately monitor the safety of pipelines with wide laying ranges and complex environments along the pipeline.

[0006] To address the aforementioned problems, in a first aspect, the present invention provides a pipeline safety monitoring method, comprising:

[0007] Vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by a strain optical cable laid parallel to both sides of the pipeline to be monitored.

[0008] Based on the vibration data, a vibration feature vector at the first time scale is determined, and a vibration feature at the second time scale is determined based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale;

[0009] In a pre-defined external behavior sample library, target external behaviors corresponding to vibration feature vectors, vibration features, and strain data are matched, and pipeline safety warnings are issued based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable.

[0010] In one possible implementation, acquiring vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by strain optical cables laid parallel to both sides of the pipeline to be monitored includes:

[0011] Pulsed light is input to a vibratory optical cable laid in the same trench as the pipeline to be monitored and a strain optical cable laid parallel to both sides of the pipeline to be monitored.

[0012] The sampling period for vibration and strain data is determined based on the transmission time of pulsed light in the vibration and strain optical cables.

[0013] Vibration and strain data are acquired based on the sampling period.

[0014] In one possible implementation, the first time scale is an integer multiple of the sampling period.

[0015] In one possible implementation, determining the vibration feature vector at a first time scale based on vibration data includes:

[0016] Analyze multiple vibration data collected continuously at the first time scale to determine multiple vibration parameters corresponding to the vibration data;

[0017] The vibration characteristic vector at the first time scale is determined based on multiple vibration parameters.

[0018] In one possible implementation, the vibration parameters include vibration intensity, axial position of the vibration source, and lateral distance of the vibration source from the pipeline to be monitored. Multiple vibration parameters corresponding to the vibration data are determined, including:

[0019] The vibration data collected at the first time scale are adjusted to determine the vibration intensity corresponding to each vibration data point.

[0020] The axial position of the vibration source is determined based on the position of the fiber optic grating obtained from multiple vibration data.

[0021] The lateral distance between the vibration source and the pipeline to be monitored is calculated based on the distance between adjacent fiber Bragg gratings that have collected the same vibration data, the time difference between adjacent fiber Bragg gratings that have collected the same vibration data, and the propagation speed of pulsed light in the vibrating optical cable.

[0022] In one possible implementation, determining the vibration characteristics at a second time scale based on the vibration feature vector includes:

[0023] The average value of each vibration parameter in multiple vibration feature vectors is calculated to obtain the vibration features under the second time scale. The vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

[0024] In one possible implementation, pipeline safety early warning is performed based on the category of the target's external behavior and the positional relationship between the target's external behavior and the strain-sensitive optical cable, including:

[0025] When the external behavior of the target poses a safety hazard to the pipeline to be monitored and the external behavior of the target occurs between the two strain optical cables, the external behavior of the target is monitored in process and a safety warning is issued.

[0026] Secondly, the present invention also provides a pipeline safety monitoring system, which uses the pipeline safety method of any of the foregoing embodiments to perform safety monitoring of the pipeline to be monitored, including a vibration sensing module, a strain sensing module, and a data processing module, wherein...

[0027] The vibration sensing system includes a vibration optical cable laid in the same trench as the pipeline to be monitored, which is used to collect vibration data of the pipeline to be monitored and transmit the vibration data to the data processing module.

[0028] The strain sensing system includes strain optical cables laid parallel to both sides of the pipeline to be monitored, used to monitor soil strain data within a preset range of the pipeline to be monitored, and transmit the strain data to the data processing module.

[0029] The data processing module is used to process vibration and strain data and determine the target's external behavior.

[0030] In one possible implementation, the data processing module, when processing vibration and strain data and determining the target's external behavior, is used to:

[0031] Based on the vibration data, a vibration feature vector at the first time scale is determined, and a vibration feature at the second time scale is determined based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale;

[0032] Match the target external behavior corresponding to the vibration feature vector, vibration feature and strain data in the preset external behavior sample library, and make pipeline safety early warning based on the target external behavior.

[0033] In one possible implementation, the pipeline safety monitoring system further includes a process monitoring module, which is used to monitor the external behavior of the target when there is a safety hazard in the pipeline being monitored, and issue a safety warning.

[0034] The beneficial effects of this invention are as follows: The pipeline safety monitoring method provided by this invention acquires vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by a strain optical cable laid parallel to both sides of the pipeline to be monitored. The vibration data is processed at different time scales to obtain vibration feature vectors and vibration features at different time scales. The vibration feature vectors, vibration features and strain data are combined with the corresponding target external behaviors in the sample library, making the identification of target external behaviors more accurate. The vibration feature vectors and vibration features at different time scales can more detailed and accurately determine the type of target external behavior causing the vibration. Pipeline safety monitoring based on the type of target external behavior can provide a safety warning before the pipeline is damaged, making pipeline safety monitoring more accurate and timely. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic flowchart of a pipeline safety monitoring method provided in an embodiment of the present invention;

[0037] Figure 2 This is a schematic diagram of optical cable laying provided in an embodiment of the present invention;

[0038] Figure 3 A flowchart illustrating an implementation method of S101 provided in an embodiment of the present invention;

[0039] Figure 4 A schematic flowchart of a vibration feature vector extraction method provided in an embodiment of the present invention;

[0040] Figure 5 A flowchart illustrating a method for determining vibration parameters provided in an embodiment of the present invention;

[0041] Figure 6 A schematic diagram illustrating the calculation of the lateral distance between a vibration source and the pipeline to be monitored, provided in an embodiment of the present invention;

[0042] Figure 7 This is a schematic diagram of a pipeline safety monitoring system provided in an embodiment of the present invention. Detailed Implementation

[0043] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0044] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0045] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0046] Pipelines, as vital energy transport carriers, have diverse applications and wide coverage. Pipeline failures can significantly impact public safety, environmental health, and production stability. Third-party sabotage refers to accidental damage to pipelines caused by actions of non-pipeline personnel. Statistics show that third-party sabotage has become a leading cause of pipeline failures. To ensure pipeline safety and prevent human-caused damage, effective environmental monitoring is crucial for early warning systems. Traditionally, inspections for third-party sabotage rely primarily on manual patrols and drone patrols. However, pipelines are typically extensive with complex environments, making manual patrols time-consuming. Drone patrols struggle to provide comprehensive, real-time monitoring across large areas, making it difficult to prevent the randomness and concealment of third-party sabotage, especially illegal activities like oil theft through drilling.

[0047] Based on this, the present invention discloses a pipeline safety monitoring method to solve the problem that existing technologies cannot accurately monitor the safety of pipelines with wide laying ranges and complex environments along the pipeline.

[0048] In a specific embodiment of the present invention, such as Figure 1 As shown, the pipeline safety monitoring methods provided include:

[0049] S101, acquire vibration data collected by the vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by the strain optical cable laid parallel to both sides of the pipeline to be monitored.

[0050] In this embodiment of the invention, vibration data refers to the vibration data collected by the vibration optical cable when the soil vibration caused by external behavior around the pipeline to be monitored causes pipeline vibration, and strain data refers to the strain data collected by the strain optical cable when external factors cause strain in the soil around the pipeline to be monitored. The external behavior includes, but is not limited to, pedestrian walking, vehicle driving, construction site construction, excavation and other behaviors that cause soil vibration. The pipeline safety monitoring provided by this invention aims to identify the types of these external behaviors, thereby ensuring that these external behaviors will not affect pipeline safety.

[0051] In this embodiment of the invention, to ensure the accuracy of vibration data and strain data acquisition, such as... Figure 2 As shown, the vibration optical cable used to collect vibration data is laid in the same trench as the pipeline to be monitored, and the strain optical cable used to collect strain data is laid parallel to both sides of the pipeline to be monitored. The distance between the strain optical cable and the axis of the pipeline to be monitored is set according to the actual situation, such as 5 meters, 10 meters, etc. Optionally, fiber Bragg gratings are installed in both the vibration optical cable and the strain optical cable, and vibration data and strain data can be collected through the fiber Bragg gratings.

[0052] In some embodiments of the present invention, such as Figure 3 As shown, S101 includes:

[0053] S301, pulse light is input to the vibration optical cable laid in the same trench as the pipeline to be monitored and the strain optical cable laid parallel to both sides of the pipeline to be monitored;

[0054] S302, the sampling period of vibration data and strain data is determined based on the transmission time of pulse light in the vibration optical cable and strain optical cable;

[0055] S303 acquires vibration and strain data based on the sampling period.

[0056] In this embodiment of the invention, when collecting vibration data and strain data through the vibration optical cable and strain optical cable, pulsed light can be input into the vibration optical cable and strain optical cable. The vibration data is obtained by the vibration regulator after being reflected by the fiber grating array in the pulsed light vibration optical cable. The strain data is obtained by the strain regulator after being reflected by the fiber grating array in the strain optical cable. Since the transmission of pulsed light in the vibration optical cable and strain optical cable takes time, the round-trip time of the pulsed light is the time it takes for the pulsed light to reach the last grating and return to the receiving end. During this time period, each grating is only adjusted by one number, that is, one sampling period. Based on this sampling period, vibration data and strain data are continuously acquired.

[0057] S102, determine the vibration feature vector at the first time scale based on the vibration data, and determine the vibration feature at the second time scale based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale.

[0058] In this embodiment of the invention, the first time scale refers to the time length that includes multiple vibration data. To ensure the accuracy of vibration feature extraction, it is necessary to process the multiple vibration data under the first time scale to obtain vibration feature vectors. Furthermore, multiple feature vectors can be processed to obtain vibration features under the second scale, wherein the second time scale is an integer multiple of the first time scale.

[0059] In this embodiment of the invention, the specific extraction methods for vibration feature vectors and vibration features will be described in detail later in this invention.

[0060] In some embodiments of the present invention, the first time scale is an integer multiple of the sampling period. Specifically, 10, 50 or 100 sampling periods can be determined as the first time scale. Then, when processing the vibration data and strain data under the first time scale, it is necessary to process 10, 50 or 100 consecutive vibration data and strain data.

[0061] S103, Match the target external behavior corresponding to the vibration feature vector, vibration feature and strain data in the preset external behavior sample library, and perform pipeline safety warning based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable.

[0062] In this embodiment of the invention, an external behavior sample library is pre-constructed based on the soil vibration and strain characteristics caused by different external behaviors. This sample library stores various external behaviors and their corresponding vibration feature vectors, vibration characteristics, and strain data. Based on this, after determining the vibration feature vectors, vibration characteristics, and strain data in the aforementioned embodiments, the corresponding target external behavior can be determined from the external behavior sample library. Furthermore, a safety warning for the pipeline can be issued based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable. The specific warning process will be described in detail later in this invention.

[0063] The pipeline safety monitoring method provided by this invention acquires vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by a strain optical cable laid parallel to both sides of the pipeline to be monitored. The vibration data is processed at different time scales to obtain vibration feature vectors and vibration features at different time scales. The vibration feature vectors, vibration features and strain data are then combined with the corresponding target external behaviors in a sample library to make the identification of target external behaviors more accurate. The vibration feature vectors and vibration features at different time scales can determine the type of target external behavior causing the vibration in a more detailed and accurate manner. By performing pipeline safety monitoring based on the type of target external behavior, a safety warning can be given before the pipeline is damaged, making pipeline safety monitoring more accurate and timely.

[0064] In some embodiments of the present invention, such as Figure 4 As shown, the vibration feature vector at the first time scale is determined based on vibration data, including:

[0065] S401 analyzes multiple vibration data collected continuously at the first time scale to determine multiple vibration parameters corresponding to the vibration data.

[0066] In this embodiment of the invention, the vibration parameter can represent the vibration of the soil around the pipeline to be monitored. Based on the vibration parameter, it can be preliminarily determined whether the vibration of the soil around the pipeline to be monitored will affect the safety of the pipeline.

[0067] In some embodiments of the present invention, such as Figure 5 As shown, the vibration parameters include vibration intensity, axial position of the vibration source, and lateral distance between the vibration source and the pipeline to be monitored. Multiple vibration parameters corresponding to the vibration data are determined, including:

[0068] S501, adjust multiple vibration data collected at the first time scale to determine the vibration intensity corresponding to each of the multiple vibration data;

[0069] S502, determine the axial position of the vibration source based on the position of the fiber optic grating obtained from multiple vibration data;

[0070] S503 calculates the lateral distance between the vibration source and the pipeline to be monitored based on the distance between adjacent fiber Bragg gratings that have collected the same vibration data, the time difference between adjacent fiber Bragg gratings that have collected the same vibration data, and the propagation speed of pulse light in the vibrating optical cable.

[0071] In this embodiment of the invention, vibration parameters include vibration intensity, axial position of the vibration source, and lateral distance between the vibration source and the pipe to be monitored. Of course, when conditions permit, vibration parameters may also include the root mean square of the vibration intensity, the frequency of the vibration peak, etc. Optionally, when calculating vibration intensity, it is necessary to adjust and analyze multiple consecutive vibration data at a first time scale. Specifically, a vibration regulator can be used for adjustment to obtain the vibration intensity corresponding to multiple vibration data. When determining the axial position of the vibration source, it can be determined based on the position of the fiber grating that collected the multiple vibration data. For example, the position of the first fiber grating that detected vibration data can be directly used as the axial position of the vibration source, or the axial position of the vibration source can be calculated based on the positions of the first two fiber gratings that detected vibration data. This invention does not limit this. When calculating the lateral distance between the vibration source and the pipe to be monitored, it is necessary to consider the distance between adjacent fiber gratings that collected the same vibration data, the time difference between adjacent fiber gratings collecting the same vibration data, and the propagation speed of pulsed light in the vibrating optical cable. Specifically, such as... Figure 6 The diagram shown illustrates the calculation of the lateral distance between the vibration source and the pipeline to be monitored. H This indicates the lateral distance between the vibration source and the pipeline to be monitored. l This is the spacing between adjacent fiber Bragg gratings. Because the distance from the vibration source to each fiber Bragg grating is different, the time it takes for the generated vibration wave to be detected by each fiber Bragg grating is different. Let the time it takes for point A to detect the vibration wave be... The time at which the vibration wave was detected at point B was If the propagation speed of the vibration wave in the soil is v, then the following expression holds:

[0072]

[0073] Based on this, the formula for calculating the lateral distance H between the vibration source and the pipeline to be monitored can be obtained as follows:

[0074]

[0075] S402 determines the vibration characteristic vector at the first time scale based on multiple vibration parameters.

[0076] In this embodiment of the invention, after determining multiple vibration parameters corresponding to multiple consecutive vibration data at a first time scale, the multiple vibration parameters are combined to obtain a vibration feature vector at the first time scale.

[0077] This invention calculates multiple vibration parameters at a first time scale and combines them to obtain a vibration feature vector at the first time scale. This results in a more accurate extraction of soil vibration features caused by external behaviors, facilitating the precise identification of subsequent external behavior categories.

[0078] In some embodiments of the present invention, determining the vibration characteristics at a second time scale based on the vibration feature vector includes:

[0079] The average value of each vibration parameter in multiple vibration feature vectors is calculated to obtain the vibration features under the second time scale. The vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

[0080] In this embodiment of the invention, when determining vibration features based on vibration feature vectors, it is necessary to analyze and process multiple vibration feature vectors under a first time scale. Specifically, the average value of each vibration parameter in each vibration feature vector in the aforementioned embodiment can be calculated to obtain the vibration features under a second time scale. The vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

[0081] In this embodiment of the invention, external behaviors include pedestrian movement, manual digging, vehicle movement, and mechanical digging. Human activity causes relatively small strain and vibration intensity in the optical cable, while vehicle and mechanical activity cause larger strain and vibration intensity. Over a period of time, the positions of pedestrians and vehicles change significantly, while the positions of manual and mechanical digging remain relatively fixed. Vibration and strain data under these external behaviors are acquired, and small-scale and large-scale vibration feature vectors are calculated. Each external behavior has a different pattern of positional change, and the resulting vibration intensity and strain are different. Based on this, unknown external behaviors are mapped to behaviors in a sample library to determine the corresponding target external behavior. Furthermore, based on the type of the target external behavior, it can be determined whether the target external behavior will affect the safety of the pipeline being monitored.

[0082] In some embodiments of the present invention, pipeline safety early warning is performed based on the category of the target's external behavior and the positional relationship between the target's external behavior and the strain optical cable, including:

[0083] When the external behavior of the target poses a safety hazard to the pipeline to be monitored and the external behavior of the target occurs between the two strain optical cables, the external behavior of the target is monitored in process and a safety warning is issued.

[0084] In this embodiment of the invention, two strain gauge optical cables are laid parallel to the pipeline to be monitored, forming a protective zone between them. When issuing a safety warning for the pipeline, it is necessary to consider the type of external behavior and its location to determine whether to issue a warning. This is because even if the external behavior poses a safety hazard, it will not affect the safety of the pipeline if its location is outside the protective zone. Specifically, when the target external behavior is a safety hazard, such as mechanical excavation, the location of the external behavior is determined. If the external behavior is continuously within the protective zone, it is determined that the external behavior poses a safety hazard to the pipeline. If the external behavior is merely a rapid passage through the protective zone (such as a car passing through), it is determined that the external behavior does not pose a safety hazard. When a safety hazard is determined to exist, the external behavior can be monitored, and a safety contingency plan can be issued. Specifically, the strain gauge fiber optic cable sensitively detects the movement of objects at the boundary of the protected area. When an object enters the protected area, the system issues an early warning. By calculating small-scale vibration characteristic vectors in real time, including vibration intensity, axial position of the vibration source, and lateral distance of the vibration source, the system can monitor external behavior. The system sets alarm thresholds for vibration intensity and lateral distance of the vibration source when external behavior is considered threatening. When the detected vibration intensity is greater than the alarm threshold or the lateral distance of the vibration source is less than the alarm threshold, the system issues an alarm. The alarm thresholds are different for each type of external behavior.

[0085] In this embodiment of the invention, after the pulsed light enters the vibration optical cable and the strain optical cable, it is reflected by the fiber grating array therein. The reflected light is then demodulated to obtain vibration data and strain data. Next, a vibration feature vector at a small time scale is obtained based on the collected vibration data. Then, the vibration feature vector at a small time scale is used to describe the vibration characteristics at a larger time scale. Finally, the vibration feature vector at the small time scale, the vibration characteristics at the large time scale, and the strain data are combined with a sample library to determine the type of external behavior and perform process monitoring. By using a highly sensitive strain optical cable to delineate protection zones on both sides of the pipeline, the vibration source state is described using multiple feature parameters at both small and large time scales, and process monitoring of external behavior is performed. Combined with sample library data, the type of external behavior is effectively identified, optimizing the pipeline safety monitoring and early warning mechanism.

[0086] like Figure 7 As shown, the present invention also provides a pipeline safety monitoring system 700, which uses the pipeline safety method of any of the foregoing embodiments to perform safety monitoring of the pipeline to be monitored, including a vibration sensing module 701, a strain sensing module 702, and a data processing module 703, wherein...

[0087] The vibration sensing module 701 includes a vibration optical cable laid in the same trench as the pipeline to be monitored, which is used to collect vibration data of the pipeline to be monitored and transmit the vibration data to the data processing module 703.

[0088] The strain sensing module 702 includes strain optical cables laid parallel to both sides of the pipeline to be monitored, used to monitor soil strain data within a preset range of the pipeline to be monitored, and transmit the strain data to the data processing module 703.

[0089] The data processing module 703 is used to process vibration data and strain data and determine the external behavior of the target.

[0090] In this embodiment of the invention, the vibration sensing module 701 includes a vibration optical cable and a vibration modulator, the strain sensing module includes a strain optical cable and a strain modulator, and the data processing module includes a processor and a memory. The vibration optical cable is laid in the same trench as the pipeline to be monitored, sensing vibrations generated by external actions. Two strain optical cables are laid parallel to each other on both sides of the pipeline to be monitored. The area between the two strain optical cables serves as a protected area for the pipeline. The strain optical cables sense strain generated by external actions and can monitor objects entering or leaving the protected area. The vibration optical cable laid in the same trench as the pipeline to be monitored is laid using an air-blowing method. The strain optical cable is directly buried on both sides of the pipeline. Its internal structure uses a tight-sleeved tube to wrap the fiber core, and a metal reinforcement surrounds the outside of the tight-sleeved tube. Aramid fibers are wound around the outside of the metal reinforcement. In some embodiments, the processor can be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory or process data, such as the pipeline safety monitoring method of this invention. In some embodiments, the processor can be a single server or a group of servers. The server group can be centralized or distributed. In some embodiments, the processor can be local or remote. In some embodiments, the processor may be implemented on a cloud platform. In some embodiments, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, or any combination thereof. In some embodiments, the memory may be an internal storage unit of the electronic device, such as a hard drive or memory. In other embodiments, the memory may be an external storage device of the electronic device, such as a plug-in hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, Flash Card, etc. Furthermore, the memory may include both internal and external storage units of the electronic device.

[0091] In some embodiments of the present invention, the data processing module, when processing vibration data and strain data and determining the target's external behavior, is used to:

[0092] Based on the vibration data, a vibration feature vector at the first time scale is determined, and a vibration feature at the second time scale is determined based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale;

[0093] Match the target external behavior corresponding to the vibration feature vector, vibration feature and strain data in the preset external behavior sample library, and make pipeline safety early warning based on the target external behavior.

[0094] In some embodiments of the present invention, the pipeline safety monitoring system further includes a process monitoring module, which is used to monitor the external behavior of the target when there is a safety hazard in the pipeline under monitoring, and issue a safety warning.

[0095] The pipeline safety monitoring system 700 provided in the above embodiments can realize the technical solutions described in the above pipeline safety monitoring method embodiments. The specific implementation principles of each module can be found in the corresponding content in the above pipeline safety monitoring method embodiments, and will not be repeated here.

[0096] The pipeline safety monitoring system provided by this invention acquires vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by strain optical cables laid parallel to both sides of the pipeline to be monitored. The vibration data is processed at different time scales to obtain vibration feature vectors and vibration features at different time scales. The vibration feature vectors, vibration features and strain data are combined with the corresponding target external behaviors in the sample library, making the identification of target external behaviors more accurate. The vibration feature vectors and vibration features at different time scales can determine the type of target external behavior causing the vibration in a more detailed and accurate manner. Pipeline safety monitoring based on the type of target external behavior can provide safety warnings before the pipeline is damaged, making pipeline safety monitoring more accurate and timely.

[0097] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A pipeline safety monitoring method, characterized in that, include: Vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by a strain optical cable laid parallel to both sides of the pipeline to be monitored. Based on the vibration data, a vibration feature vector at a first time scale is determined, and a vibration feature at a second time scale is determined based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale; Match the target external behavior corresponding to the vibration feature vector, the vibration feature, and the strain data in the preset external behavior sample library, and perform pipeline safety early warning based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable; Determining the vibration feature vector at the first time scale based on the vibration data includes: Analyze multiple vibration data collected continuously at the first time scale to determine multiple vibration parameters corresponding to the vibration data; The vibration feature vector at the first time scale is determined based on the multiple vibration parameters. The vibration parameters include vibration intensity, axial position of the vibration source, and lateral distance between the vibration source and the pipeline to be monitored. Determining the multiple vibration parameters corresponding to the vibration data includes: The vibration data collected at the first time scale are adjusted to determine the vibration intensity corresponding to each vibration data point. The axial position of the vibration source is determined based on the position of the fiber grating obtained from the multiple vibration data. The lateral distance between the vibration source and the pipeline to be monitored is calculated based on the distance between adjacent fiber Bragg gratings that have collected the same vibration data, the time difference between the adjacent fiber Bragg gratings that have collected the same vibration data, and the propagation speed of pulse light in the vibrating optical cable. Determining the vibration characteristics at the second time scale based on the vibration feature vector includes: The average value of each vibration parameter in multiple vibration feature vectors is calculated to obtain the vibration features at the second time scale, wherein the vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

2. The pipeline safety monitoring method according to claim 1, characterized in that, The acquisition of vibration data collected by a vibration optical cable laid in the same trench as the pipeline to be monitored and strain data collected by strain optical cables laid parallel to both sides of the pipeline to be monitored includes: Pulsed light is input to a vibration optical cable laid in the same trench as the pipeline to be monitored and a strain optical cable laid parallel to both sides of the pipeline to be monitored. The sampling period of the vibration data and the strain data is determined based on the transmission time of the pulsed light in the vibration optical cable and the strain optical cable. The vibration data and strain data are obtained based on the sampling period.

3. The pipeline safety monitoring method according to claim 2, characterized in that, The first time scale is an integer multiple of the sampling period.

4. The pipeline safety monitoring method according to claim 1, characterized in that, The pipeline safety early warning based on the category of the target's external behavior and the positional relationship between the target's external behavior and the strain optical cable includes: When the target's external behavior poses a safety hazard to the pipeline being monitored and the target's external behavior occurs between the two strain optical cables, the target's external behavior is monitored throughout the process, and a safety warning is issued.

5. A pipeline safety monitoring system, characterized in that, The pipeline safety method according to any one of claims 1 to 4 is used to monitor the safety of the pipeline under test, including a vibration sensing module, a strain sensing module, and a data processing module, wherein... The vibration sensing system includes a vibration optical cable laid in the same trench as the pipeline to be monitored, used to collect vibration data of the pipeline to be monitored and transmit the vibration data to the data processing module. The strain sensing system includes strain optical cables laid parallel to both sides of the pipeline to be monitored, used to monitor soil strain data within a preset range of the pipeline to be monitored, and transmit the strain data to the data processing module; The data processing module is used to process the vibration data and strain data and determine the target's external behavior.

6. The pipeline safety monitoring system according to claim 5, characterized in that, The data processing module, when processing the vibration and strain data and determining the target's external behavior, is used for: Based on the vibration data, a vibration feature vector at a first time scale is determined, and a vibration feature at a second time scale is determined based on the vibration feature vector, wherein the second time scale is an integer multiple of the first time scale; Match the target external behavior corresponding to the vibration feature vector, the vibration feature, and the strain data in a preset external behavior sample library, and perform pipeline safety early warning based on the target external behavior.

7. The pipeline safety monitoring system according to claim 6, characterized in that, It also includes a process monitoring module, which is used to monitor the external behavior of the target and issue a safety warning when the external behavior of the target poses a safety hazard to the pipeline to be monitored.

Images