Pipeline safety monitoring method and system

Abstract

The invention relates to a pipeline safety monitoring method and system, and belongs to the technical field of pipeline monitoring, and the pipeline safety monitoring method comprises the steps: obtaining vibration data collected by a vibration optical cable laid in the same ditch with a to-be-monitored pipeline and strain data collected by strain optical cables laid in parallel on two sides of the to-be-monitored pipeline; determining a vibration feature vector under a first time scale based on the vibration data, and determining a vibration feature under a second time scale based on the vibration feature vector, the second time scale being an integral multiple of the first time scale; and matching a target external behavior corresponding to the vibration feature vector, the vibration feature 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 position relationship between the target external behavior and a strain optical cable. Safety early warning can be carried out before the pipeline is damaged, and safety monitoring of the pipeline is more accurate and timely.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline monitoring, and in particular to a pipeline safety monitoring method and system. Background Art

[0002] As an important carrier of energy transportation, pipelines have many applications and a wide range of laying. Once a failure accident occurs, it will have a significant impact on people’s life safety, environmental health, and production stability.

[0003] Third-party damage to pipelines refers to accidental damage to pipelines caused by the behavior of non-pipeline employees. According to statistics, third-party damage to pipelines has become the main cause of pipeline failure. In order to ensure the safety of the pipeline and prevent human damage, it is necessary to conduct effective status monitoring of the environment around the pipeline to achieve the effect of safety warning. Traditionally, inspections for third-party damage to pipelines mainly rely on human patrols and drone patrols. Pipeline laying generally covers a wide range, and the environment along the line is complex. The time cost of human patrols is very high, and drone patrols are difficult to complete large-scale real-time monitoring without blind spots. It is difficult to prevent and control random and concealed third-party damage, especially illegal activities such as drilling and stealing oil.

[0004] This shows that the existing technology is unable to provide real-time and accurate safety monitoring of pipelines with a wide laying area and complex environment along the line. 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 the existing technology is unable to implement accurate safety monitoring of pipelines with a wide laying area and complex environment along the line.

[0006] In order to solve the above problems, in a first aspect, the present invention provides a pipeline safety monitoring method, comprising: Obtain 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 in parallel on both sides of the pipeline to be detected; Determine a vibration feature vector at a first time scale based on the vibration data, and determine 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; The target external behavior corresponding to the vibration feature vector, the vibration feature and the strain data is matched in a preset external behavior sample library, and a pipeline safety early warning is performed based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable.

[0007] In a possible implementation, obtaining 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 in parallel on both sides of the pipeline to be detected includes: Input pulse light to the vibration optical cable laid in the same trench as the pipeline to be monitored and the strain optical cable laid in parallel on both sides of the pipeline to be detected; Determine the sampling period of vibration data and strain data based on the transmission time of pulse light in the vibration optical cable and the strain optical cable; Vibration data and strain data are acquired based on a sampling period.

[0008] In a possible implementation manner, the first time scale is an integer multiple of the sampling period.

[0009] In a possible implementation, determining a vibration feature vector at a first time scale based on vibration data includes: Analyzing a plurality of vibration data collected continuously at a first time scale to determine a plurality of vibration parameters corresponding to the vibration data; A vibration characteristic vector at a first time scale is determined according to a plurality of vibration parameters.

[0010] In a 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, and multiple vibration parameters corresponding to the vibration data are determined, including: Adjusting the plurality of vibration data collected at the first time scale to determine the vibration intensities respectively corresponding to the plurality of vibration data; Determine the axial position of the vibration source based on the position of the fiber Bragg grating from which the plurality of vibration data are collected; The lateral distance between the vibration source and the pipeline to be monitored is calculated based on the distance between adjacent fiber gratings that collect the same vibration data, the time difference between adjacent fiber gratings that collect the same vibration data, and the propagation speed of pulse light in the vibration optical cable.

[0011] In a possible implementation manner, determining the vibration feature at the second time scale based on the vibration feature vector includes: The average values ​​of the vibration parameters in the plurality of vibration feature vectors are calculated to obtain vibration features at a second time scale, wherein the vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

[0012] In a possible implementation, performing 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 includes: When the target external behavior poses a potential safety hazard to the pipeline to be monitored and the target external behavior occurs between the two strain optical cables, the target external behavior is process-monitored and a safety warning is issued.

[0013] In a second aspect, the present invention also provides a pipeline safety monitoring system, which uses the pipeline safety method of any of the above embodiments to perform safety monitoring on the pipeline to be monitored, 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, which is 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 in parallel on both sides of the pipeline to be monitored, which are 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 the strain data and determine the target external behavior.

[0014] In a possible implementation, when the data processing module processes the vibration data and the strain data and determines the target external behavior, it is used to: Determine a vibration feature vector at a first time scale based on the vibration data, and determine 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; The target external behavior corresponding to the vibration feature vector, vibration feature and strain data is matched in the preset external behavior sample library, and pipeline safety warning is performed based on the target external behavior.

[0015] In a possible implementation, the pipeline safety monitoring system further includes a process monitoring module, which is used to perform process monitoring on the target external behavior and issue a safety warning when the target external behavior poses a potential safety hazard to the pipeline to be monitored.

[0016] The beneficial effects of the present invention are as follows: the pipeline safety monitoring method provided by the present invention obtains 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 in parallel on both sides of the pipeline to be detected, and processes the vibration data at different time scales to obtain vibration feature vectors and vibration features at different time scales, and matches the corresponding target external behavior in a sample library in combination with the vibration feature vectors, vibration features and strain data, so that the identification of the target external behavior is more accurate, and the vibration feature vectors and vibration features at different time scales can determine the type of target external behavior that causes vibration in more detail and accurately, and perform pipeline safety monitoring according to the type of target external behavior, and can issue a safety warning before the pipeline is damaged, so that the safety monitoring of the pipeline is more accurate and timely. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the 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 work.

[0018] Figure 1 A schematic diagram of a pipeline safety monitoring method provided by an embodiment of the present invention; Figure 2 A schematic diagram of laying an optical cable provided in an embodiment of the present invention; Figure 3 A flowchart of a method for implementing S101 provided in an embodiment of the present invention; Figure 4 A schematic flow chart of a vibration feature vector extraction method provided by an embodiment of the present invention; Figure 5 A schematic diagram of a flow chart of a vibration parameter determination method provided by an embodiment of the present invention; Figure 6 A schematic diagram of calculating the lateral distance between a vibration source and a pipeline to be monitored provided in an embodiment of the present invention; Figure 7 A schematic diagram of the structure of a pipeline safety monitoring system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a 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 used to limit the scope of the present invention.

[0020] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0021] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] As an important carrier of energy transportation, pipelines have many applications and are laid over a wide range. Once a failure accident occurs, it will have a significant impact on people's life safety, environmental health, and production stability. Third-party damage to pipelines refers to accidental damage to pipelines caused by the behavior of non-pipeline employees. According to statistics, third-party damage to pipelines has become the main cause of pipeline failure. In order to ensure the safety of the pipeline and prevent human damage, it is necessary to conduct effective status monitoring of the environment around the pipeline to achieve the effect of safety warning. Traditionally, inspections for third-party damage to pipelines mainly rely on human patrols and drone patrols. Pipelines are generally laid over a wide range, and the environment along the line is complex. The time cost of human patrols is very high, and drone patrols are difficult to complete large-scale real-time monitoring without blind spots. It is difficult to prevent and control random and concealed third-party damage, especially illegal activities such as drilling and stealing oil.

[0023] Based on this, the present invention discloses a pipeline safety monitoring method to solve the problem that the prior art is unable to implement accurate safety monitoring on pipelines with a wide laying range and complex environment along the line.

[0024] In a specific embodiment of the present invention, Figure 1 As shown, the pipeline safety monitoring method provided includes: S101, obtaining 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 in parallel on both sides of the pipeline to be monitored.

[0025] In an embodiment of the present invention, vibration data refers to soil vibration caused by external behavior around the pipeline to be monitored, which in turn triggers vibration data collected by the vibration optical cable when the pipeline is vibrated. Strain data refers to strain data collected by the strain optical cable when the soil around the pipeline to be monitored is strained by the external behavior. The external behavior includes but is not limited to pedestrians walking, vehicles driving, construction sites, excavation and other behaviors that cause soil vibration. The pipeline safety monitoring provided by the present invention is intended to identify the types of these external behaviors, thereby ensuring that these external behaviors will not affect pipeline safety.

[0026] In the embodiment of the present invention, in order to ensure the accuracy of vibration data and strain data collection, 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 in parallel on both sides of the pipeline to be monitored, wherein the distance between the strain optical cable and the axis of the pipeline to be monitored is set according to actual conditions, such as 5 meters, 10 meters, etc. Optionally, fiber gratings are respectively provided in the vibration optical cable and the strain optical cable, and vibration data and strain data can be collected through the fiber gratings.

[0027] In some embodiments of the present invention, Figure 3 As shown, S101 includes: S301, inputting pulse light to a vibration optical cable laid in the same trench as the pipeline to be monitored and a strain optical cable laid in parallel on both sides of the pipeline to be detected; S302, determining a sampling period of vibration data and strain data based on the transmission time of the pulse light in the vibration optical cable and the strain optical cable; S303, acquiring vibration data and strain data based on a sampling period.

[0028] In an embodiment of the present invention, when collecting vibration data and strain data through a vibration optical cable and a strain optical cable, pulse light can be input into the vibration optical cable and the strain optical cable, and the vibration data is obtained by adjusting the vibration regulator after being reflected by the fiber grating array in the pulse light vibration optical cable, and the strain data is obtained by adjusting the strain regulator after being reflected by the fiber grating array in the strain optical cable. Since it takes time for the pulse light to be transmitted in the vibration optical cable and the strain optical cable, the round-trip time of the pulse light is the time it takes for the pulse light to reach the end grating and return to the receiving end. During this time period, each grating is adjusted by only one number, that is, one sampling period, and based on this sampling period, the vibration data and strain data are continuously acquired.

[0029] S102, determining a vibration feature vector at a first time scale based on the vibration data, and 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.

[0030] In an embodiment of the present invention, the first time scale refers to a time length including multiple vibration data. To ensure the accuracy of vibration feature extraction, it is necessary to process the multiple vibration data at the first time scale to obtain a vibration feature vector. Further, the multiple feature vectors can be processed to obtain vibration features at a second scale, wherein the second time scale is an integer multiple of the first time scale.

[0031] In the embodiment of the present invention, the specific method for extracting the vibration feature vector and the specific method for extracting the vibration feature will be described in detail later in the present invention.

[0032] In some implementations 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. When processing vibration data and strain data at the first time scale, it is necessary to process 10, 50 or 100 consecutive vibration data and strain data.

[0033] S103, matching 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 performing a 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.

[0034] In the embodiment of the present invention, according to the soil vibration and soil strain characteristics caused by different external behaviors, an external behavior sample library is constructed in advance, and the external behavior sample library stores the vibration feature vectors, vibration features and strain data corresponding to each external behavior and different external behaviors. Based on this, after the vibration feature vectors, vibration features and strain data are determined in the aforementioned embodiment, the corresponding target external behavior can be determined in the external behavior sample library, and the pipeline is given a safety warning according to 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 the present invention.

[0035] The pipeline safety monitoring method provided by the present invention obtains 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 in parallel on both sides of the pipeline to be detected, and processes the vibration data 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 to match the corresponding target external behaviors in a sample library, so that the identification of the target external behaviors is more accurate. The vibration feature vectors and vibration features at different time scales can determine the type of target external behaviors that cause vibration in more detail and accurately. Pipeline safety monitoring is performed according to the type of target external behaviors, and safety warnings can be issued before the pipeline is damaged, so that the safety monitoring of the pipeline is more accurate and timely.

[0036] In some embodiments of the present invention, Figure 4 As shown, determining the vibration characteristic vector at a first time scale based on the vibration data includes: S401, analyzing a plurality of vibration data collected continuously at a first time scale to determine a plurality of vibration parameters corresponding to the vibration data.

[0037] In the embodiment of the present invention, the vibration parameter can represent the vibration condition of the soil around the pipeline to be monitored. According to 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 to be monitored.

[0038] In some embodiments of the present invention, Figure 5 As shown, 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: S501, adjusting a plurality of vibration data collected at a first time scale to determine vibration intensities corresponding to the plurality of vibration data respectively; S502, determining the axial position of the vibration source based on the position of the fiber Bragg grating from which the plurality of vibration data are collected; S503, calculating the lateral distance between the vibration source and the pipeline to be monitored based on the distance between adjacent fiber gratings that collect the same vibration data, the time difference between adjacent fiber gratings that collect the same vibration data, and the propagation speed of the pulse light in the vibration optical cable.

[0039] In an embodiment of the present invention, 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. Of course, when conditions permit, the vibration parameters may also include the root mean square of the vibration intensity, the frequency of the vibration peak, etc. Optionally, when calculating the vibration intensity, it is necessary to adjust and analyze a plurality of continuous vibration data at the first time scale. Specifically, a vibration regulator may be used for adjustment to obtain the vibration intensity corresponding to the plurality of vibration data. When determining the axial position of the vibration source, it may be determined based on the position of the fiber grating that collects the plurality of vibration data. For example, the position of the first fiber grating that detects vibration data is directly used as the axial position of the vibration source, or the axial position of the vibration source is calculated based on the positions of the first two fiber gratings that detect vibration data. The present invention does not impose any restrictions on this. When calculating the lateral distance of the vibration source from the pipeline to be monitored, it is necessary to base it on the distance between adjacent fiber gratings that collect the same vibration data, the time difference between adjacent fiber gratings that collect the same vibration data, and the propagation speed of the pulse light in the vibration optical cable. Specifically, Figure 6 The figure shows the calculation diagram of the lateral distance between the vibration source and the pipeline to be monitored. H Indicates the lateral distance between the vibration source and the pipeline to be monitored. l is the spacing between adjacent fiber Bragg gratings. The distances from the vibration source to each fiber Bragg grating are different, and the time when the generated vibration wave is detected by each fiber Bragg grating is different. Suppose the time when point A detects the vibration wave is , the time when point B detects the vibration wave is , the propagation speed of vibration wave in soil is v, then the following expression is valid:

[0040] Based on this, the calculation formula for the lateral distance H between the vibration source and the pipeline to be monitored is:

[0041] S402: Determine a vibration characteristic vector at a first time scale according to a plurality of vibration parameters.

[0042] In the embodiment of the present invention, after a plurality of vibration parameters corresponding to a plurality of continuous vibration data at a first time scale are determined, the plurality of vibration parameters are combined to obtain a vibration characteristic vector at the first time scale.

[0043] The embodiment of the present invention calculates multiple vibration parameters at a first time scale and combines the multiple vibration parameters to obtain a vibration feature vector at the first time scale, so that the extraction of soil vibration characteristics caused by external behavior is more accurate, which facilitates the subsequent accurate identification of external behavior categories.

[0044] In some implementations of the present invention, determining the vibration feature at the second time scale based on the vibration feature vector includes: The average values ​​of the vibration parameters in the plurality of vibration feature vectors are calculated to obtain vibration features at a second time scale, wherein the vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

[0045] In an embodiment of the present invention, when determining the vibration characteristics based on the vibration characteristic vector, it is necessary to analyze and process multiple vibration characteristic vectors at the first time scale. Specifically, the average value of each vibration parameter in each vibration characteristic vector in the aforementioned embodiment can be calculated to obtain the vibration characteristics at the second time scale, wherein the vibration characteristics include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

[0046] In an embodiment of the present invention, external behaviors include pedestrian movement, manual excavation, vehicle driving, and mechanical excavation. The strain and vibration intensity of the strain optical cable caused by human activities are relatively small, while the strain and vibration intensity caused by vehicle and mechanical activities are relatively large; and within a period of time, the positions of pedestrians and vehicles change greatly, while the positions of manual excavation and mechanical excavation are relatively fixed; the vibration data and strain data under the action of these external behaviors are obtained, and the small time scale vibration feature vector and large time scale vibration feature are calculated. The position change law, vibration intensity and strain caused by each external behavior are different. Based on this, the unknown external behavior is matched with the behavior in the sample library to determine the corresponding target external behavior, and then based on the type of the target external behavior, it is determined whether the target external behavior will affect the safety of the pipeline to be monitored.

[0047] In some implementations of the present invention, the pipeline safety early warning is performed based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable, including: When the target external behavior poses a potential safety hazard to the pipeline to be monitored and the target external behavior occurs between the two strain optical cables, the target external behavior is process-monitored and a safety warning is issued.

[0048] In an embodiment of the present invention, two strain optical cables are laid parallel to the pipeline to be monitored, and a protection area is formed between the two strain optical cables. When a safety warning is issued for the pipeline to be monitored, it is necessary to determine whether to issue a warning in combination with the type of external behavior and the location where the external behavior occurs. Because even if the external behavior is an external behavior with a safety hazard, but the location where it occurs is not within the protection area, it will not affect the safety of the pipeline to be monitored. Specifically, when the target external behavior is an external behavior with a safety hazard, such as the target external behavior is mechanical excavation, the location where the target external behavior occurs is determined. When it is determined that the target external behavior continues to be within the protection area, it is determined that the target external behavior has a safety hazard to the pipeline to be monitored. If the target external behavior is just a quick passage through the protection area (such as a car passing through), it is determined that the target external behavior does not have a safety hazard. When it is determined that the external behavior has a safety hazard, the process of the target external behavior can be monitored and a safety plan can be issued. Specifically, the strain optical cable sensitively detects the movement of objects at the boundary of the protection area. The system issues an early warning when the object enters the protection area. The external behavior can be monitored in process through real-time calculation of small-time-scale vibration characteristic vectors, including vibration intensity, axial position of the vibration source, and lateral distance of the vibration source. The vibration intensity and lateral distance of the vibration source when the external behavior is threatening are set as alarm thresholds. When the monitored vibration intensity is greater than the alarm threshold and the lateral distance of the vibration source is less than the alarm threshold, the system issues an alarm. The alarm threshold for each external behavior is different.

[0049] In the embodiment of the present invention, after the pulse light enters the vibration optical cable and the strain optical cable, it is reflected by the fiber grating array therein, and the reflected light formed is passed through the demodulator to obtain vibration data and strain data; then, the vibration characteristic vector at a small time scale is obtained according to the collected vibration data; then, the vibration characteristics at a larger time scale are described by the small time scale vibration characteristic vector; finally, the small time scale vibration characteristic vector, the large time scale vibration characteristics and strain data are combined with the sample library to determine the external behavior category and perform process monitoring. Use highly sensitive strain optical cables to demarcate protection areas on both sides of the pipeline, use multiple characteristic parameters to describe the state of the vibration source at small and large time scales, perform process monitoring on external behaviors, and combine sample library data to effectively identify external behavior categories and optimize pipeline safety monitoring and early warning mechanisms.

[0050] 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 above embodiments to monitor the safety of the pipeline to be monitored, including a vibration sensing module 701, a strain sensing module 702 and a data processing module 703, wherein: The vibration sensing module 701 includes a vibration optical cable laid in the same trench as the pipeline to be monitored, and is used to collect vibration data of the pipeline to be monitored and transmit the vibration data to the data processing module 703; The strain sensing module 702 includes strain optical cables laid in parallel on both sides of the pipeline to be monitored, which are 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; The data processing module 703 is used to process the vibration data and the strain data and determine the target external behavior.

[0051] In an embodiment of the present invention, the vibration sensing module 701 includes a vibration optical cable and a vibration regulator, the strain sensing module includes a strain optical cable and a strain regulator, and the data processing module includes a processor and a memory, wherein the vibration optical cable is laid in the same trench as the pipeline to be monitored to sense the vibration generated by external behavior, there are two strain optical cables, which are laid in parallel on both sides of the pipeline to be monitored, and the area between the two strain optical cables is used as the protection area of ​​the pipeline. The strain optical cable senses the strain generated by external behavior and can monitor the objects entering and leaving the protection area. The vibration optical cable laid in the same trench as the pipeline to be monitored is laid using an air blowing method, and the strain optical cable is directly buried on both sides of the pipeline. The internal structure thereof uses a tight sleeve to wrap the fiber core, a metal reinforcement surrounds the outside of the tight sleeve, and an aramid fiber is 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, which is used to run the program code stored in the memory or process data, such as the pipeline safety monitoring method in the present invention. In some embodiments, the processor can be a single server or a server group. 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, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multiple cloud, etc., or any combination thereof. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a hard disk or memory of an electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in hard disk equipped on the electronic device, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Furthermore, the memory may also include both an internal storage unit of an electronic device and an external storage device.

[0052] In some embodiments of the present invention, when processing the vibration data and the strain data and determining the target external behavior, the data processing module is used to: Determine a vibration feature vector at a first time scale based on the vibration data, and determine 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; The target external behavior corresponding to the vibration feature vector, vibration feature and strain data is matched in the preset external behavior sample library, and pipeline safety warning is performed based on the target external behavior.

[0053] In some embodiments of the present invention, the pipeline safety monitoring system further includes a process monitoring module, which is used to perform process monitoring on the target external behavior and issue a safety warning when the target external behavior poses a safety hazard to the monitored pipeline.

[0054] The pipeline safety monitoring system 700 provided in the above embodiment can implement the technical solution described in the above pipeline safety monitoring method embodiment. The specific implementation principles of the above modules can refer to the corresponding contents in the above pipeline safety monitoring method embodiment, which will not be repeated here.

[0055] The pipeline safety monitoring system provided by the present invention obtains 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 in parallel on both sides of the pipeline to be detected, and processes the vibration data 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 to match the corresponding target external behaviors in a sample library, so that the identification of the target external behaviors is more accurate. The vibration feature vectors and vibration features at different time scales can determine the type of target external behaviors that cause vibration in more detail and accurately. Pipeline safety monitoring is performed according to the type of target external behaviors, and safety warnings can be issued before the pipeline is damaged, so that the safety monitoring of the pipeline is more accurate and timely.

[0056] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A pipeline safety monitoring method, characterized in that: include: Acquire 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 in parallel on both sides of the pipeline to be monitored; Determine a vibration feature vector at a first time scale based on the vibration data, and determine 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; The target external behavior corresponding to the vibration feature vector, the vibration feature and the strain data is matched in a preset external behavior sample library, and a pipeline safety early warning is performed based on the category of the target external behavior and the positional relationship between the target external behavior and the strain optical cable.

2. The pipeline safety monitoring method according to claim 1, characterized in that: The step of obtaining 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 in parallel on both sides of the pipeline to be monitored includes: Inputting pulsed light to a vibration optical cable laid in the same trench as the pipeline to be monitored and a strain optical cable laid in parallel on both sides of the pipeline to be monitored; Determining a sampling period of the vibration data and the strain data based on the transmission time of the pulse light in the vibration optical cable and the strain optical cable; The vibration data and strain data are acquired 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 step of determining a vibration feature vector at a first time scale based on the vibration data comprises: Analyzing a plurality of vibration data collected continuously at a first time scale to determine a plurality of vibration parameters corresponding to the vibration data; A vibration characteristic vector at a first time scale is determined according to the plurality of vibration parameters.

5. The pipeline safety monitoring method according to claim 4, characterized in that: 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. The multiple vibration parameters corresponding to the vibration data are determined, including: Adjusting the plurality of vibration data collected at the first time scale to determine the vibration intensities respectively corresponding to the plurality of vibration data; Determine the axial position of the vibration source based on the position of the fiber Bragg grating from which the plurality of vibration data are collected; The lateral distance between the vibration source and the pipeline to be monitored is calculated based on the distance between adjacent fiber gratings that collect the same vibration data, the time difference between the adjacent fiber gratings that collect the same vibration data, and the propagation speed of the pulse light in the vibration optical cable.

6. The pipeline safety monitoring method according to claim 5, characterized in that: The determining of the vibration characteristics at a second time scale based on the vibration characteristic vector comprises: The average values ​​of the vibration parameters in the plurality of vibration feature vectors are calculated to obtain vibration features at a second time scale, wherein the vibration features include average vibration intensity, average vibration distance, average peak intensity, and average peak distance.

7. The pipeline safety monitoring method according to claim 6, characterized in that: The 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 includes: When the target external behavior poses a potential safety hazard to the pipeline to be monitored and the target external behavior occurs between two strain optical cables, the target external behavior is process-monitored and a safety warning is issued.

8. A pipeline safety monitoring system, characterized in that: The pipeline safety method according to any one of claims 1 to 7 is used to monitor the safety of the pipeline to be monitored, comprising a vibration sensing module, a strain sensing module and a data processing module, wherein: The vibration sensing system comprises a vibration optical cable laid in the same trench as the pipeline to be monitored, for collecting vibration data of the pipeline to be monitored and transmitting the vibration data to a data processing module; The strain sensing system includes strain optical cables laid in parallel on both sides of the pipeline to be monitored, which are used to monitor soil strain data within a preset range of the pipeline to be monitored and transmit the strain data to a data processing module; The data processing module is used to process the vibration data and strain data and determine the target external behavior.

9. The pipeline safety monitoring system according to claim 8, characterized in that: When the data processing module processes the vibration data and the strain data and determines the target external behavior, it is used to: Determine a vibration feature vector at a first time scale based on the vibration data, and determine 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; The target external behavior corresponding to the vibration feature vector, the vibration feature and the strain data is matched in a preset external behavior sample library, and a pipeline safety early warning is performed based on the target external behavior.

10. The pipeline safety monitoring system according to claim 9, characterized in that: It also includes a process monitoring module, which is used to perform process monitoring on the target external behavior and issue a safety warning when the target external behavior poses a potential safety hazard to the monitored pipeline.

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