Pipeline early warning system and method based on magnetic flux leakage detection data

Abstract

The present invention relates to the technical field of pipeline early warning, and discloses a pipeline early warning system and method based on magnetic flux leakage detection data, the system comprising: a data acquisition end for collecting magnetic flux leakage data of each preset detection position in the pipeline, and historical magnetic field detection data of the pipeline. An alarm end is electrically connected to the data acquisition end, and the alarm end is used to determine whether to send an alarm message based on the magnetic flux leakage data of each preset detection position in the pipeline, and the historical magnetic field detection data of the pipeline. Through the hierarchical magnetic flux leakage signal analysis and early warning mechanism, the system of the present invention can not only timely identify pipeline damage problems, but also prevent potential stress concentration risks in advance, thereby effectively improving the safety and maintenance efficiency of the pipeline.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline early warning, and in particular to a pipeline early warning system and method based on magnetic flux leakage detection data. Background Art

[0002] With the widespread use of oil and gas pipelines in energy transportation, the safety and stability of pipelines have become a major concern. Due to long-term use and the influence of the external environment, pipelines are susceptible to corrosion, wear, cracks, holes and other defects, which may lead to major accidents such as oil and gas leakage and explosion, causing environmental pollution and economic losses. Therefore, pipeline status monitoring and fault warning systems have become an indispensable part of pipeline maintenance.

[0003] At present, magnetic flux leakage detection technology is widely used in pipeline defect detection as a non-destructive testing method. It evaluates the health of the pipeline by detecting the magnetic flux leakage generated by the magnetic field at the pipeline defect. However, in practical applications, traditional magnetic flux leakage detection systems are often limited to identifying and judging the defects on the surface of the pipeline, while it is difficult to effectively detect and identify the defects inside the pipeline. This limitation makes it difficult to evaluate and warn when facing internal defects. In addition, the existing magnetic flux leakage detection system often transmits the detection data back to the central control gimbal, etc., and then the operator analyzes the detected data, so the existing magnetic flux leakage detection system has obvious lag in data processing, which further leads to the inability to provide early warning information in a timely manner, thereby affecting the efficiency of pipeline maintenance and fault prevention. This lag not only increases maintenance costs, but also may bring safety hazards.

[0004] Therefore, there is an urgent need to invent an early warning method based on magnetic flux leakage detection data pipeline to solve the problems of poor assessment and early warning capabilities in the face of internal defects and high lag in data processing in the current technology. Summary of the invention

[0005] In view of this, the present invention proposes a pipeline early warning system and method based on magnetic flux leakage detection data, aiming to solve the problems in the current technology of poor assessment and early warning capabilities when facing internal defects and high lag in data processing.

[0006] The present invention proposes a pipeline early warning system based on magnetic flux leakage detection data, comprising:

[0007] A data collection terminal is used to collect magnetic leakage data of each preset detection position in the pipeline, as well as historical magnetic field detection data of the pipeline;

[0008] An alarm terminal is electrically connected to the data acquisition terminal, and is used to determine whether to send an alarm message based on the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline, wherein the alarm terminal includes:

[0009] An acquisition module, used to acquire the magnetic leakage data of each of the preset detection positions and the historical magnetic field detection data of the pipeline;

[0010] A first judgment module is electrically connected to the acquisition module, and is used to determine whether the pipeline is damaged according to the amplitude of the magnetic flux leakage signal in the magnetic flux leakage data, wherein:

[0011] When the first judgment module determines that the pipeline is damaged, the first judgment module determines to issue an alarm message, and determines the alarm level of the alarm message according to the amplitude and signal frequency of the magnetic leakage signal;

[0012] The second judgment module is electrically connected to the first judgment module. When the first judgment module determines that the pipeline is not damaged, the second judgment module determines whether there is a stress concentration point at the preset detection position according to the magnetic leakage signal distribution at the preset detection position, wherein:

[0013] When the second judgment module determines that there is a stress concentration point at the preset detection position, the second judgment module determines to send a warning message, and determines the level of the warning message according to the frequency and amplitude of the magnetic leakage signal;

[0014] an alarm module, electrically connected to the first judgment module, and configured to send corresponding alarm information according to the alarm level determined by the first judgment module;

[0015] An early warning module is electrically connected to the second judgment module, and is used to send corresponding early warning information according to the alarm level determined by the second judgment module.

[0016] Furthermore, the data collection terminal includes:

[0017] A magnetic flux leakage signal acquisition module is electrically connected to the magnetic flux leakage detection device, and the magnetic flux leakage signal acquisition module is used to obtain magnetic flux leakage data of each preset detection position in the pipeline;

[0018] A historical data acquisition module, electrically connected to the database, and used to acquire historical magnetic field detection data of the pipeline;

[0019] The communication module is electrically connected to the magnetic leakage signal acquisition module, the historical data acquisition module and the acquisition module respectively, and the communication module is used to send the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline to the acquisition module.

[0020] Furthermore, the first judgment module is used to determine whether the pipeline is damaged according to the amplitude of the magnetic flux leakage signal in the magnetic flux leakage data, including:

[0021] The first judgment module is used to obtain the real-time amplitude of the magnetic flux leakage signal, and determine whether the pipeline is damaged according to the relationship between the real-time amplitude and the preset amplitude configured by the first judgment module:

[0022] When the real-time amplitude is lower than the preset amplitude, the first judgment module determines that the pipeline is not damaged;

[0023] When the real-time amplitude is equal to or higher than the preset amplitude, the first judgment module determines that the pipeline is damaged.

[0024] Further, when the first judgment module determines the alarm level of the alarm information according to the amplitude and signal frequency of the magnetic leakage signal, it includes:

[0025] The first judgment module is further used to obtain the amplitude difference between the real-time amplitude and the preset amplitude, and perform damage assessment on the pipeline according to the amplitude difference, wherein:

[0026] The first judgment module is configured with a first preset amplitude difference and a second preset amplitude difference;

[0027] When the amplitude difference is less than the first preset amplitude difference, the first judgment module determines that the damage estimation value of the pipeline is M1;

[0028] When the amplitude difference is greater than or equal to the first preset amplitude difference, and the amplitude difference is less than the second preset amplitude difference, the first judgment module determines that the damage estimate of the pipeline is M2;

[0029] When the amplitude difference is greater than or equal to the second preset amplitude difference, the first judgment module determines that the damage estimation value of the pipeline is M3;

[0030] The first preset amplitude difference is smaller than the second preset amplitude difference, and M1<M2<M3.

[0031] Further, when the first judgment module determines that the damage estimate of the pipeline is Mi, i=1, 2, 3, the first judgment module is further used to determine the alarm level of the pipeline according to the relationship between the damage estimate Mi of the pipeline and the signal frequency, including:

[0032] The first judgment module is further configured to determine the basic level of the alarm level according to the relationship between the damage estimation Mi of the pipeline and the first preset damage estimation and the second preset damage estimation configured by the first judgment module, wherein:

[0033] When the damage estimate Mi is less than the first preset damage estimate, the first judgment module determines that the basic level is level one;

[0034] When the damage estimate Mi is greater than or equal to the first preset damage estimate, and the damage estimate Mi is less than the second preset damage estimate, the first judgment module determines that the basic level is level 2;

[0035] When the damage estimate Mi is greater than or equal to the second preset damage estimate, the first judgment module determines that the basic level is level three;

[0036] Furthermore, the first preset damage estimate is less than the second preset damage estimate, and level 1 < level 2 < level 3;

[0037] Wherein, after the first judgment module determines the basic level, the first judgment module is further used to adjust the basic level according to the relationship between the signal frequency and the preset signal frequency configured by the first judgment module, wherein:

[0038] If the signal frequency is lower than or equal to the preset signal frequency, the first judgment module does not adjust the basic level, and determines that the basic level is the alarm level of the pipeline;

[0039] If the signal frequency is higher than the preset signal frequency, the first judgment module determines the adjustment coefficient according to the ratio between the signal frequency and the preset signal frequency, and adjusts the basic level according to the adjustment coefficient. The first judgment module is also used to determine the alarm level of the pipeline based on the adjusted basic level.

[0040] Furthermore, the second judgment module determines whether there is a stress concentration point at the preset detection position according to the distribution of the magnetic flux leakage signal at the preset detection position, including:

[0041] The second judgment module is further used to obtain the signal frequency of each point at the preset detection position, and determine whether the stress concentration point exists at the preset detection position according to the relationship between the signal frequencies of each point;

[0042] When the signal frequencies between the points are consistent, the second judgment module determines that the stress concentration point does not exist at the preset detection position;

[0043] When the signal frequencies between the points are inconsistent, the second judgment module is further used to determine the point whose signal frequency is higher than that corresponding to each of the signal frequencies as the stress concentration point.

[0044] Furthermore, the second judgment module is further configured to determine the level of the warning information according to the frequency and amplitude of the magnetic flux leakage signal, including:

[0045] The second judgment module is further used to obtain the signal frequency of the stress concentration point, and obtain the frequency difference between the signal frequency and the preset signal frequency configured by the second judgment module;

[0046] The second judgment module is further used to determine the stress score of the stress concentration point according to the relationship between the frequency difference and the first preset frequency difference and the second preset frequency difference configured by the second judgment module, wherein:

[0047] When the frequency difference is less than the first preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N1;

[0048] When the frequency difference is greater than or equal to the first preset frequency difference, and the frequency difference is less than the second preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N2;

[0049] When the frequency difference is greater than or equal to the second preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N3;

[0050] Moreover, the first preset frequency difference is smaller than the second preset frequency difference; N1<N2<N3.

[0051] Further, when the second judgment module determines that the stress score of the stress concentration is Ni, i=1, 2, 3, the second judgment module is further used to judge whether to adjust the stress score Ni according to the amplitude of the magnetic leakage signal, including:

[0052] The second judgment module is further used to obtain the real-time amplitude of the stress concentration point and each historical amplitude of the stress concentration point in the historical magnetic field detection data;

[0053] The second judgment module is further used to determine the average amplitude of the stress concentration point according to each of the historical amplitudes, and the second judgment module is further used to determine whether to adjust the stress score Ni according to the relationship between the real-time amplitude and the average amplitude, wherein:

[0054] When the real-time amplitude is less than or equal to the average amplitude, the second judgment module determines not to adjust the stress score Ni;

[0055] When the real-time amplitude is greater than the average amplitude, the second judgment module determines the adjustment coefficient of the stress score Ni according to the amplitude difference between the real-time amplitude and the average amplitude, and adjusts the stress score Ni according to the adjustment coefficient, wherein:

[0056] The second judgment module is further used to determine the adjustment coefficient according to the relationship between the amplitude difference and the first preset amplitude difference and the second preset amplitude difference configured by the second judgment module:

[0057] When the amplitude difference is less than the first preset amplitude difference, the second judgment module determines that the adjustment coefficient is L1;

[0058] When the amplitude difference is greater than or equal to the first preset amplitude difference, and the amplitude difference is less than the second preset amplitude difference, the second judgment module determines that the adjustment coefficient is L2;

[0059] When the amplitude difference is greater than or equal to the second preset amplitude difference, the second judgment module determines that the adjustment coefficient is L3;

[0060] Moreover, the first preset amplitude difference is smaller than the second preset amplitude difference, L1<L2<L3.

[0061] Further, when the second judgment module determines that the adjustment coefficient is Li, i=1, 2, 3, and adjusts the stress score Ni according to the adjustment coefficient Li, it includes:

[0062] The second judgment module is further used to obtain the adjusted stress score, and determine the level of the warning information according to the relationship between the adjusted stress score and the first preset stress score and the second preset stress score configured by the second judgment module;

[0063] When the stress score is less than the first preset stress score, the second judgment module determines that the level of the warning information is level one;

[0064] When the stress score is greater than or equal to the first preset stress score, and the stress score is less than the second preset stress score, the second judgment module determines that the level of the warning information is level 2;

[0065] When the stress score is greater than or equal to the second preset stress score, the second judgment module determines that the level of the warning information is level three;

[0066] Moreover, the first preset stress score is less than the second preset stress score; level one < level two < level three.

[0067] Compared with the prior art, the beneficial effect of the present invention is that through the integrated data acquisition terminal, the system can monitor multiple preset detection positions in the pipeline in real time and obtain high-precision magnetic flux leakage data. At the same time, the historical magnetic field detection data of the pipeline can also be used to provide a reference for the current fault detection. The use of this dual data source can more comprehensively analyze the health status of the pipeline and effectively improve the accuracy of data analysis and the reliability of judgment. This feature greatly reduces the risk of missed detection or false detection, especially when there are complex defects or damage in the pipeline, it can provide more accurate judgment results. Secondly, the first judgment module of the alarm terminal can quickly determine whether the pipeline is damaged according to the amplitude and frequency of the magnetic flux leakage signal, and send an alarm message according to the severity of the damage. This module can not only determine whether there is damage, but also intelligently set the alarm level according to the changes in signal strength and frequency, and then take different levels of early warning measures according to different degrees of damage, so as to ensure the rationality and efficiency of the emergency response, which helps the pipeline maintenance team to carry out targeted repairs or replacements and reduce unnecessary shutdown and repair costs. In addition, the second judgment module of the alarm terminal can identify the stress concentration point in the pipeline by analyzing the distribution of the magnetic flux leakage signal. Stress concentration is often a precursor to future damage to the pipeline, so the early warning function of this module can effectively predict potential risks. After determining the presence of a stress concentration area, the early warning level is set according to the frequency and amplitude of the signal, thereby providing different levels of early warning information to pipeline maintenance personnel. This early warning mechanism can provide maintenance personnel with the opportunity to intervene in advance to prevent serious damage from further developing into irreversible rupture or leakage accidents, thereby improving the safety management level of the pipeline. Finally, the alarm module determines the information level based on the first judgment module, or the early warning module sends the corresponding alarm or early warning information based on the information level determined by the second judgment module. This modular design enables the system to respond to different types of pipeline failures more flexibly, ensuring that timely action is taken when a failure occurs or a risk arises, reducing the impact of the accident on pipeline operations and the surrounding environment.

[0068] On the other hand, the present application also provides a pipeline early warning method based on magnetic flux leakage detection data, comprising:

[0069] Collecting magnetic leakage data of each preset detection position in the pipeline and historical magnetic field detection data of the pipeline;

[0070] Whether to send an alarm message is determined based on the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline.

[0071] It can be understood that the pipeline early warning system and method based on magnetic flux leakage detection data in each embodiment of the present invention have the same beneficial effects and will not be described in detail. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0073] Figure 1 A functional block diagram of a pipeline early warning system based on magnetic flux leakage detection data provided by an embodiment of the present invention;

[0074] Figure 2 A flowchart of a pipeline early warning method based on magnetic flux leakage detection data provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0075] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0076] With the widespread use of oil and gas pipelines in energy transportation, the safety and stability of pipelines have become a major concern. Due to long-term use and the influence of the external environment, pipelines are susceptible to corrosion, wear, cracks, holes and other defects, which may lead to major accidents such as oil and gas leakage and explosion, causing environmental pollution and economic losses. Therefore, pipeline status monitoring and fault warning systems have become an indispensable part of pipeline maintenance.

[0077] At present, magnetic flux leakage detection technology is widely used in pipeline defect detection as a non-destructive testing method. It evaluates the health of the pipeline by detecting the magnetic flux leakage generated by the magnetic field at the pipeline defect. However, in practical applications, traditional magnetic flux leakage detection systems are often limited to identifying and judging the defects on the surface of the pipeline, while it is difficult to effectively detect and identify the defects inside the pipeline. This limitation makes it difficult to evaluate and warn when facing internal defects. In addition, the existing magnetic flux leakage detection system often transmits the detection data back to the central control gimbal, etc., and then the operator analyzes the detected data, so the existing magnetic flux leakage detection system has obvious lag in data processing, which further leads to the inability to provide early warning information in a timely manner, thereby affecting the efficiency of pipeline maintenance and fault prevention. This lag not only increases maintenance costs, but also may bring safety hazards.

[0078] In view of this, the present invention proposes a pipeline early warning system and method based on magnetic flux leakage detection data, aiming to solve the problems in the current technology of poor assessment and early warning capabilities when facing internal defects and high lag in data processing.

[0079] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides a pipeline early warning system based on magnetic flux leakage detection data, including: a data acquisition terminal and an alarm terminal. The data acquisition terminal is used to collect magnetic flux leakage data of each preset detection position in the pipeline, and the historical magnetic field detection data of the pipeline; the alarm terminal is electrically connected to the data acquisition terminal, and the alarm terminal is used to determine whether to send an alarm message based on the magnetic flux leakage data of each preset detection position in the pipeline, and the historical magnetic field detection data of the pipeline.

[0080] Specifically, the alarm terminal includes: an acquisition module, a first judgment module, a second judgment module, an alarm module and an early warning module. The acquisition module is used to acquire the magnetic leakage data of each preset detection position and the historical magnetic field detection data of the pipeline. The first judgment module is electrically connected to the acquisition module, and the first judgment module is used to determine whether the pipeline is damaged according to the amplitude of the magnetic leakage signal in the magnetic leakage data, wherein: when the first judgment module determines that the pipeline is damaged, the first judgment module determines to send an alarm message, and determines the alarm level of the alarm message according to the amplitude and signal frequency of the magnetic leakage signal. The second judgment module is electrically connected to the first judgment module, and when the first judgment module determines that the pipeline is not damaged, the second judgment module determines whether there is a stress concentration point at the preset detection position according to the distribution of the magnetic leakage signal at the preset detection position, wherein: when the second judgment module determines that there is a stress concentration point at the preset detection position, the second judgment module determines to send an early warning message, and determines the level of the early warning message according to the frequency and amplitude of the magnetic leakage signal. The alarm module is electrically connected to the first judgment module, and the alarm module is used to send corresponding alarm messages according to the alarm level determined by the first judgment module. The early warning module is electrically connected to the second judgment module, and the early warning module is used to send corresponding early warning information according to the alarm level determined by the second judgment module.

[0081] Specifically, the leakage magnetic data of each preset detection position in the pipeline is collected through the data acquisition terminal. These data contain information about the changes in the magnetic field inside and outside the pipeline, especially the leakage magnetic signals generated by pipeline defects or stress concentration points. At the same time, by using the historical magnetic field detection data of the pipeline as a reference, a comparison benchmark is formed to help more accurately identify abnormalities in the current data. Secondly, after the data collection is completed, the acquisition module passes these data to the first judgment module, and the first judgment module analyzes the status of the pipeline according to the amplitude and frequency of the leakage magnetic signal. If the amplitude of the leakage magnetic signal exceeds the set threshold, it means that there may be pipeline damage. The amplitude is usually related to the severity of the defect. Therefore, by judging the amplitude, the system can identify the scale and nature of the damage. The change in signal frequency also provides valuable information. The fluctuation of frequency may indicate the expansion trend of the leakage magnetic signal, thereby helping the system to further determine the level of the alarm. After confirming the damage, the first judgment module will issue different levels of alarm information through the alarm module according to the severity of the defect, reminding the pipeline maintenance personnel to take timely measures. If the first judgment module does not detect obvious damage, the second judgment module will be started to further analyze the distribution of the leakage magnetic signal. The distribution of the leakage magnetic signal can reflect the stress concentration points of the pipeline. These areas are often potential risk points for the pipeline to rupture or damage in the future. Stress concentration points usually cause local distortion of the magnetic field, which is manifested as abnormal distribution of the leakage magnetic signal. Therefore, the second judgment module can identify the existence of stress concentration points in advance by analyzing these distribution characteristics. After discovering these stress concentration points, the system will set the warning level according to the frequency and amplitude changes of the leakage magnetic signal, and send corresponding warning information through the warning module. This warning mechanism can not only prevent major failures in advance, but also help maintenance personnel intervene early to avoid further deterioration of the problem. Finally, the alarm module and the warning module respectively perform the tasks of sending alarm and warning information to ensure that messages can be notified in different situations. The alarm module mainly sends alarm information according to different alarm levels for damage or failure that has occurred. The warning module focuses on early prevention of possible risks in the future to prevent the continued development of stress concentration points from causing more serious damage. This hierarchical judgment and response mechanism enables the system to not only deal with current pipeline problems, but also prevent potential hidden dangers.

[0082] In some embodiments of the present application, the data acquisition terminal includes: a magnetic flux leakage signal acquisition module, a historical data acquisition module and a communication module. The magnetic flux leakage signal acquisition module is electrically connected to the magnetic flux leakage detection device, and the magnetic flux leakage signal acquisition module is used to obtain the magnetic flux leakage data of each preset detection position in the pipeline. The historical data acquisition module is electrically connected to the database, and the historical data acquisition module is used to collect the historical magnetic field detection data of the pipeline. The communication module is electrically connected to the magnetic flux leakage signal acquisition module, the historical data acquisition module and the acquisition module respectively, and the communication module is used to send the magnetic flux leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline to the acquisition module.

[0083] In some embodiments of the present application, when the first judgment module is used to determine whether the pipeline is damaged according to the amplitude of the magnetic flux leakage signal in the magnetic flux leakage data, the first judgment module is used to obtain the real-time amplitude in the magnetic flux leakage signal, and determine whether the pipeline is damaged according to the relationship between the real-time amplitude and the preset amplitude configured by the first judgment module: when the real-time amplitude is lower than the preset amplitude, the first judgment module determines that the pipeline is not damaged. When the real-time amplitude is equal to or higher than the preset amplitude, the first judgment module determines that the pipeline is damaged.

[0084] Specifically, the amplitude of the leakage magnetic signal is obtained in real time through the first judgment module, and it is compared with the amplitude threshold preset by the system to determine whether the pipeline is damaged. The core of the first judgment module is to accurately capture the real-time amplitude of the leakage magnetic signal and quickly match it with the preset safety threshold. The preset amplitude is a reference standard set based on a large amount of historical data, experience and pipeline operation status, which is used to identify possible structural anomalies inside the pipeline. When the real-time detected amplitude is less than the preset threshold, the system believes that the pipeline structure is intact and there is no sign of damage; conversely, when the real-time amplitude is greater than or equal to the preset value, it indicates that there may be damage in the pipeline, and the system will immediately issue an alarm signal to alert pipeline maintenance personnel.

[0085] It is understandable that the principle of magnetic flux leakage detection depends on the distribution of the magnetic field inside the pipeline. Once defects (such as cracks, corrosion or holes) occur in the pipeline, the magnetic field distribution will be disturbed, resulting in an increase in the amplitude of the magnetic flux leakage signal. Therefore, real-time monitoring of the amplitude change of the magnetic flux leakage signal can effectively capture the abnormality inside the pipeline. This amplitude comparison method is simple and efficient, and can quickly obtain the test results. It has obvious advantages in detection accuracy and response speed. At the same time, the real-time nature of the first judgment module provides a guarantee for pipeline safety management. Since the fluctuation of the magnetic flux leakage signal is an early sign of pipeline damage, real-time detection and timely comparison can issue an alarm at the early stage of the problem, preventing small problems from developing into serious pipeline accidents. This method can greatly improve the efficiency of pipeline detection, effectively reduce the accident rate, and ensure that the pipeline remains efficient and safe during operation. The judgment of real-time amplitude not only provides basic data support for subsequent early warnings and alarms, but also reduces the subjective errors of manual judgment in a systematic and automated manner, making the detection more accurate.

[0086] In some embodiments of the present application, when the first judgment module determines the alarm level of the alarm information according to the amplitude and signal frequency of the magnetic flux leakage signal, it includes: the first judgment module is also used to obtain the amplitude difference between the real-time amplitude and the preset amplitude, and perform damage assessment on the pipeline according to the amplitude difference, wherein: the first judgment module is configured with a first preset amplitude difference and a second preset amplitude difference. When the amplitude difference is less than the first preset amplitude difference, the first judgment module determines that the damage estimate of the pipeline is M1. When the amplitude difference is greater than or equal to the first preset amplitude difference, and the amplitude difference is less than the second preset amplitude difference, the first judgment module determines that the damage estimate of the pipeline is M2. When the amplitude difference is greater than or equal to the second preset amplitude difference, the first judgment module determines that the damage estimate of the pipeline is M3. Among them, the first preset amplitude difference is less than the second preset amplitude difference, and M1<M2<M3.

[0087] Specifically, when the first judgment module determines that the damage estimate of the pipeline is Mi, i=1,2,3, the first judgment module is also used to determine the alarm level of the pipeline according to the relationship between the damage estimate Mi of the pipeline and the signal frequency, including: the first judgment module is also used to determine the basic level of the alarm level according to the relationship between the damage estimate Mi of the pipeline and the first preset damage estimate and the second preset damage estimate configured by the first judgment module, wherein: when the damage estimate Mi is less than the first preset damage estimate, the first judgment module determines the basic level to be level one. When the damage estimate Mi is greater than or equal to the first preset damage estimate, and the damage estimate Mi is less than the second preset damage estimate, the first judgment module determines the basic level to be level two. When the damage estimate Mi is greater than or equal to the second preset damage estimate, the first judgment module determines the basic level to be level three. Moreover, the first preset damage estimate is less than the second preset damage estimate, level one < level two < level three.

[0088] Specifically, after the first judgment module determines the basic level, the first judgment module is also used to adjust the basic level according to the relationship between the signal frequency and the preset signal frequency configured by the first judgment module, wherein: if the signal frequency is lower than or equal to the preset signal frequency, the first judgment module does not adjust the basic level, and determines the basic level as the alarm level of the pipeline. If the signal frequency is higher than the preset signal frequency, the first judgment module determines the adjustment coefficient according to the ratio between the signal frequency and the preset signal frequency, and adjusts the basic level according to the adjustment coefficient. The first judgment module is also used to determine the alarm level of the pipeline with the adjusted basic level.

[0089] Specifically, when the adjusted basic level is greater than level three, the first judgment module determines that the alarm level of the pipeline is level three.

[0090] It can be seen that when the first judgment module receives the magnetic flux leakage signal, it calculates the difference between the real-time amplitude and the preset amplitude. According to the size of this difference, the judgment module will classify the damage of the pipeline into three levels: M1, M2 and M3. This classification allows the first judgment module to respond gradually according to the severity of the damage. For example, when the amplitude difference is small, the damage is judged as M1, which may be a minor defect or early corrosion; when the amplitude difference is large, the damage level will rise to M2 or M3, representing more serious damage. The advantage of this amplitude difference evaluation mechanism is that it can carefully distinguish different degrees of damage and provide more accurate decision-making basis for pipeline maintenance. In practical applications, the M1 stage only requires routine inspections or minor repairs, while the M3 stage requires immediate emergency measures to avoid complete failure of the pipeline or dangerous accidents. This classification mechanism improves the sensitivity of the system and avoids excessive alarms or ignoring potential risks. After determining the damage estimate, the first judgment module will further compare these damage levels with the damage assessment standards preset by the system to determine the basic alarm level. The alarm levels are divided into level 1, level 2 and level 3, corresponding to the damage estimate. When the damage is minor, the first judgment module will only issue a level 1 alarm to remind maintenance personnel to pay attention; when the damage is serious, the first judgment module will issue a level 2 or level 3 alarm, indicating that a higher priority response is required. This method can effectively manage the operating status of the pipeline and ensure that damage of different risk levels can be handled reasonably. In addition to the amplitude difference, the signal frequency is also a key parameter. In magnetic flux leakage detection, changes in signal frequency are often associated with dynamic stress or other environmental factors of the pipeline. The first judgment module monitors changes in signal frequency, especially when the signal frequency exceeds the preset threshold, the first judgment module calculates the adjustment coefficient through the ratio and adjusts the basic alarm level. This means that even if the damage to the pipeline is not serious, if the signal frequency increases abnormally, the system will increase the alarm level to ensure the safety of the pipeline. This frequency-based adjustment mechanism ensures that the detection system can respond flexibly in a dynamic environment to avoid missed or false alarms. After the frequency adjustment, if the alarm level exceeds level 3, the first judgment module will still limit the final alarm level to level 3 to prevent unnecessary panic caused by excessively high alarm levels. This limiting mechanism ensures that the alarm system can be controlled within a reasonable range while maintaining high sensitivity, and will not cause improper alarm reactions due to short-term fluctuations or noise interference.

[0091] It is understandable that by real-time monitoring of the amplitude difference and signal frequency of the leakage magnetic signal, combined with the preset evaluation criteria, the alarm level can be flexibly adjusted to ensure that pipeline damage problems can be identified and responded to in a timely and accurate manner. The combined use of amplitude difference grading and signal frequency adjustment not only improves the detection accuracy of the system, but also increases the adaptability of the system in dealing with complex environments, so that it can provide reasonable and effective early warning and alarm information under different degrees of damage.

[0092] In some embodiments of the present application, when the second judgment module determines whether there is a stress concentration point at the preset detection position based on the distribution of the magnetic flux leakage signal at the preset detection position, it includes: the second judgment module is also used to obtain the signal frequency of each point at the preset detection position, and determine whether there is a stress concentration point at the preset detection position based on the relationship between the signal frequencies of each point. When the signal frequencies between the points are consistent, the second judgment module determines that there is no stress concentration point at the preset detection position. When the signal frequencies between the points are inconsistent, the second judgment module is also used to determine the points with signal frequencies higher than the corresponding signal frequencies as stress concentration points.

[0093] Specifically, the second judgment module determines whether there are stress concentration points by comparing the leakage magnetic signal frequencies of each point on the preset detection position. If the signal frequencies of each point are consistent, it is considered that there is no stress concentration phenomenon in the area, indicating that the stress distribution of the pipeline is uniform and there is no potential risk of damage. However, when the signal frequencies of each point are inconsistent, the points with higher signal frequencies may be areas of stress concentration. The second judgment module will further analyze these frequency differences and identify the points with higher signal frequencies as stress concentration points. This indicates that these locations may be subject to greater stress and there is a potential risk of material fatigue or breakage. In this way, the second judgment module can accurately identify the locations where stress concentration exists in the pipeline, providing a basis for early warning and maintenance.

[0094] Specifically, when the second judgment module is also used to determine the level of the warning information according to the frequency and amplitude of the magnetic flux leakage signal, it includes: the second judgment module is also used to obtain the signal frequency of the stress concentration point, and obtain the frequency difference between the signal frequency and the preset signal frequency configured by the second judgment module. The second judgment module is also used to determine the stress score of the stress concentration point according to the relationship between the frequency difference and the first preset frequency difference and the second preset frequency difference configured by the second judgment module, wherein: when the frequency difference is less than the first preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N1. When the frequency difference is greater than or equal to the first preset frequency difference, and the frequency difference is less than the second preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N2. When the frequency difference is greater than or equal to the second preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N3. And, the first preset frequency difference is less than the second preset frequency difference. N1<N2<N3.

[0095] Specifically, when the second judgment module determines that the stress score of the stress concentration is Ni, i=1,2,3, the second judgment module is also used to determine whether to adjust the stress score Ni according to the amplitude of the magnetic leakage signal, including: the second judgment module is also used to obtain the real-time amplitude of the stress concentration point and the historical amplitudes of the stress concentration point in the historical magnetic field detection data. The second judgment module is also used to determine the average amplitude of the stress concentration point according to the historical amplitudes, and the second judgment module is also used to determine whether to adjust the stress score Ni according to the relationship between the real-time amplitude and the average amplitude, wherein: when the real-time amplitude is less than or equal to the average amplitude, the second judgment module determines not to adjust the stress score Ni. When the real-time amplitude is greater than the average amplitude, the second judgment module determines the adjustment coefficient of the stress score Ni according to the amplitude difference between the real-time amplitude and the average amplitude, and adjusts the stress score Ni according to the adjustment coefficient, wherein: the second judgment module is also used to determine the adjustment coefficient according to the relationship between the amplitude difference and the first preset amplitude difference and the second preset amplitude difference configured by the second judgment module: when the amplitude difference is less than the first preset amplitude difference, the second judgment module determines the adjustment coefficient to be L1. When the amplitude difference is greater than or equal to the first preset amplitude difference, and the amplitude difference is less than the second preset amplitude difference, the second judgment module determines the adjustment coefficient to be L2. When the amplitude difference is greater than or equal to the second preset amplitude difference, the second judgment module determines the adjustment coefficient to be L3. Moreover, the first preset amplitude difference is less than the second preset amplitude difference, L1<L2<L3.

[0096] Specifically, when the second judgment module determines that the adjustment coefficient is Li, i=1,2,3, and adjusts the stress score Ni according to the adjustment coefficient Li, it includes: the second judgment module is also used to obtain the adjusted stress score, and determine the level of the warning information according to the relationship between the adjusted stress score and the first preset stress score and the second preset stress score configured by the second judgment module. When the stress score is less than the first preset stress score, the second judgment module determines that the level of the warning information is level one. When the stress score is greater than or equal to the first preset stress score, and the stress score is less than the second preset stress score, the second judgment module determines that the level of the warning information is level two. When the stress score is greater than or equal to the second preset stress score, the second judgment module determines that the level of the warning information is level three. And the first preset stress score is less than the second preset stress score. Level one < level two < level three.

[0097] It can be seen that the second judgment module first obtains the frequency of the leakage magnetic signal at the preset detection position, and determines whether there is a stress concentration point by analyzing the distribution of these signals. The existence of a stress concentration point usually means that the pipeline is greatly affected by the external environment at this position, which may cause damage or fatigue. Therefore, the change of frequency plays a vital role here. By calculating the difference in the frequency of the leakage magnetic signal, the stress level at different positions of the pipeline can be preliminarily evaluated, which is divided into three levels: N1, N2, and N3, corresponding to low, medium, and high stress risks, respectively. In order to further improve the detection accuracy, the second judgment module not only relies on the difference analysis of the frequency, but also combines the change of the amplitude. The analysis of the amplitude is particularly important because the amplitude of the leakage magnetic signal reflects the physical state of the pipeline. If the real-time amplitude of the stress concentration point is higher than the historical average amplitude, it indicates that the area may be in a state of stress accumulation or acceleration, so the initial stress score needs to be adjusted. By comparing the real-time amplitude with the historical data, the second judgment module can determine the adjustment coefficient of the stress score according to the amplitude difference to ensure that the warning information is more accurate. After determining the stress score, the second judgment module further divides the level of the warning information according to the adjusted stress score. The warning level is also divided into three levels. The first level warning indicates a relatively minor stress concentration phenomenon, which usually does not require immediate intervention measures; the second level warning indicates that the stress level has increased and requires regular monitoring; the third level warning represents a serious stress concentration phenomenon, which will cause pipeline damage or other safety hazards, and corresponding safety measures must be taken immediately. Therefore, through the comprehensive analysis of signal frequency and amplitude, the system can provide step-by-step warning information from minor to severe, helping pipeline maintenance personnel make timely and reasonable decisions.

[0098] It is understandable that a complete stress identification and assessment process has been established through precise frequency and amplitude analysis. Its technical advantage lies not only in the sensitive detection of stress concentration points, but also in the ability to dynamically adjust the assessment results according to the changes in real-time data, thereby providing more flexible early warning information. This flexibility is essential for maintaining the safe operation of long-distance pipeline systems, which can effectively reduce the risk of accidents and extend the service life of pipelines.

[0099] In the above embodiment, through the integrated data acquisition terminal, the system can monitor multiple preset detection positions in the pipeline in real time and obtain high-precision magnetic flux leakage data. At the same time, the historical magnetic field detection data of the pipeline can also be used to provide a reference for the current fault detection. The use of this dual data source can more comprehensively analyze the health status of the pipeline and effectively improve the accuracy of data analysis and the reliability of judgment. This feature greatly reduces the risk of missed detection or false detection, especially when there are complex defects or damage in the pipeline, it can provide more accurate judgment results. Secondly, the first judgment module of the alarm terminal can quickly determine whether the pipeline is damaged according to the amplitude and frequency of the magnetic flux leakage signal, and send an alarm message according to the severity of the damage. This module can not only determine whether the damage exists or not, but also intelligently set the alarm level according to the changes in signal strength and frequency, and then take different levels of early warning measures according to different degrees of damage, so as to ensure the rationality and efficiency of the emergency response, and help the pipeline maintenance team to carry out targeted repairs or replacements, reducing unnecessary shutdown and repair costs. In addition, the second judgment module of the alarm terminal can identify the stress concentration points in the pipeline by analyzing the distribution of the magnetic flux leakage signal. Stress concentration is often a precursor to future damage to the pipeline, so the early warning function of this module can effectively predict potential risks. After determining the presence of stress concentration areas, the early warning level is set according to the frequency and amplitude of the signal, thereby providing different levels of early warning information to pipeline maintenance personnel. This early warning mechanism can provide maintenance personnel with the opportunity to intervene in advance to prevent serious damage from further developing into irreversible rupture or leakage accidents, thereby improving the safety management level of the pipeline. Finally, the alarm module and the early warning module will accurately send the corresponding alarm or early warning information based on the level information sent by the judgment module. This modular design enables the system to respond to different types of pipeline failures more flexibly, ensuring that timely actions are taken when failures occur or risks arise, reducing the impact of accidents on pipeline operations and the surrounding environment.

[0100] In another preferred embodiment based on the above embodiment, Figure 2 As shown, this embodiment provides a pipeline early warning method based on magnetic flux leakage detection data, including:

[0101] Step S100: collecting magnetic flux leakage data of each preset detection position in the pipeline and historical magnetic field detection data of the pipeline.

[0102] Step S200: Determine whether to send an alarm message based on the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline.

[0103] It can be understood that the pipeline early warning system and method based on magnetic flux leakage detection data in each embodiment of the present invention have the same beneficial effects and will not be described in detail.

[0104] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0105] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0106] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0107] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A pipeline early warning system based on magnetic flux leakage detection data, characterized in that: include: A data collection terminal is used to collect magnetic leakage data of each preset detection position in the pipeline, as well as historical magnetic field detection data of the pipeline; An alarm terminal is electrically connected to the data acquisition terminal, and is used to determine whether to send an alarm message based on the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline, wherein the alarm terminal includes: An acquisition module, used to acquire the magnetic leakage data of each of the preset detection positions and the historical magnetic field detection data of the pipeline; a first judgment module, electrically connected to the acquisition module, and configured to determine whether the pipeline is damaged according to the amplitude of the magnetic leakage signal in the magnetic leakage data, wherein when the first judgment module determines that the pipeline is damaged, the first judgment module determines to issue an alarm message, and determines an alarm level of the alarm message according to the amplitude and signal frequency of the magnetic leakage signal; The second judgment module is electrically connected to the first judgment module. When the first judgment module determines that the pipeline is not damaged, the second judgment module determines whether there is a stress concentration point at the preset detection position according to the magnetic leakage signal distribution at the preset detection position, wherein: When the second judgment module determines that there is a stress concentration point at the preset detection position, the second judgment module determines to send a warning message, and determines the level of the warning message according to the frequency and amplitude of the magnetic flux leakage signal; an alarm module, electrically connected to the first judgment module, and configured to send corresponding alarm information according to the alarm level determined by the first judgment module; An early warning module is electrically connected to the second judgment module, and is used to send corresponding early warning information according to the alarm level determined by the second judgment module.

2. The pipeline early warning system based on magnetic flux leakage detection data according to claim 1, characterized in that: The data collection end comprises: A magnetic flux leakage signal acquisition module is electrically connected to the magnetic flux leakage detection device, and the magnetic flux leakage signal acquisition module is used to obtain magnetic flux leakage data of each preset detection position in the pipeline; A historical data acquisition module, electrically connected to the database, and used to acquire historical magnetic field detection data of the pipeline; The communication module is electrically connected to the magnetic leakage signal acquisition module, the historical data acquisition module and the acquisition module respectively, and the communication module is used to send the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline to the acquisition module.

3. The pipeline early warning system based on magnetic flux leakage detection data according to claim 2, characterized in that: The first judgment module is used to determine whether the pipeline is damaged according to the amplitude of the magnetic leakage signal in the magnetic leakage data, including: The first judgment module is used to obtain the real-time amplitude of the magnetic flux leakage signal, and determine whether the pipeline is damaged according to the relationship between the real-time amplitude and the preset amplitude configured by the first judgment module: When the real-time amplitude is lower than the preset amplitude, the first judgment module determines that the pipeline is not damaged; When the real-time amplitude is equal to or higher than the preset amplitude, the first judgment module determines that the pipeline is damaged.

4. The pipeline early warning system based on magnetic flux leakage detection data according to claim 3 is characterized in that: When the first judgment module determines the alarm level of the alarm information according to the amplitude and signal frequency of the magnetic leakage signal, it includes: The first judgment module is further used to obtain the amplitude difference between the real-time amplitude and the preset amplitude, and perform damage assessment on the pipeline according to the amplitude difference, wherein: The first judgment module is configured with a first preset amplitude difference and a second preset amplitude difference; When the amplitude difference is less than the first preset amplitude difference, the first judgment module determines that the damage estimation value of the pipeline is M1; When the amplitude difference is greater than or equal to the first preset amplitude difference, and the amplitude difference is less than the second preset amplitude difference, the first judgment module determines that the damage estimate of the pipeline is M2; When the amplitude difference is greater than or equal to the second preset amplitude difference, the first judgment module determines that the damage estimation value of the pipeline is M3; The first preset amplitude difference is smaller than the second preset amplitude difference, and M1<M2<M3.

5. The pipeline early warning system based on magnetic flux leakage detection data according to claim 4, characterized in that: When the first judgment module determines that the damage estimate of the pipeline is Mi, i=1, 2, 3, the first judgment module is further used to determine the alarm level of the pipeline according to the relationship between the damage estimate Mi of the pipeline and the signal frequency, including: The first judgment module is further configured to determine the basic level of the alarm level according to the relationship between the damage estimation Mi of the pipeline and the first preset damage estimation and the second preset damage estimation configured by the first judgment module, wherein: When the damage estimate Mi is less than the first preset damage estimate, the first judgment module determines that the basic level is level one; When the damage estimate Mi is greater than or equal to the first preset damage estimate, and the damage estimate Mi is less than the second preset damage estimate, the first judgment module determines that the basic level is level 2; When the damage estimate Mi is greater than or equal to the second preset damage estimate, the first judgment module determines that the basic level is level three; Furthermore, the first preset damage estimate is less than the second preset damage estimate, and level 1 < level 2 < level 3; Wherein, after the first judgment module determines the basic level, the first judgment module is further used to adjust the basic level according to the relationship between the signal frequency and the preset signal frequency configured by the first judgment module, wherein: If the signal frequency is lower than or equal to the preset signal frequency, the first judgment module does not adjust the basic level, and determines that the basic level is the alarm level of the pipeline; If the signal frequency is higher than the preset signal frequency, the first judgment module determines the adjustment coefficient according to the ratio between the signal frequency and the preset signal frequency, and adjusts the basic level according to the adjustment coefficient. The first judgment module is also used to determine the adjusted basic level as the alarm level of the pipeline.

6. The pipeline early warning system based on magnetic flux leakage detection data according to claim 2, characterized in that: The second judgment module determines whether there is a stress concentration point at the preset detection position according to the distribution of the magnetic flux leakage signal at the preset detection position, including: The second judgment module is further used to obtain the signal frequency of each point at the preset detection position, and determine whether the stress concentration point exists at the preset detection position according to the relationship between the signal frequencies of each point; When the signal frequencies between the points are consistent, the second judgment module determines that the stress concentration point does not exist at the preset detection position; When the signal frequencies between the points are inconsistent, the second judgment module is further used to determine the point whose signal frequency is higher than that corresponding to each of the signal frequencies as the stress concentration point.

7. The pipeline early warning system based on magnetic flux leakage detection data according to claim 6, characterized in that: The second judgment module is further configured to determine the level of the warning information according to the frequency and amplitude of the magnetic leakage signal, including: The second judgment module is further used to obtain the signal frequency of the stress concentration point, and obtain the frequency difference between the signal frequency and the preset signal frequency configured by the second judgment module; The second judgment module is further configured to determine the stress score of the stress concentration point according to the relationship between the frequency difference and the first preset frequency difference and the second preset frequency difference configured by the second judgment module, wherein: When the frequency difference is less than the first preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N1; When the frequency difference is greater than or equal to the first preset frequency difference, and the frequency difference is less than the second preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N2; When the frequency difference is greater than or equal to the second preset frequency difference, the second judgment module determines that the stress score of the stress concentration point is N3; Moreover, the first preset frequency difference is smaller than the second preset frequency difference; N1<N2<N3.

8. The pipeline early warning system based on magnetic flux leakage detection data according to claim 7, characterized in that: When the second judgment module determines that the stress score of the stress concentration is Ni, i=1, 2, 3, the second judgment module is further used to judge whether to adjust the stress score Ni according to the amplitude of the magnetic leakage signal, including: The second judgment module is further used to obtain the real-time amplitude of the stress concentration point and each historical amplitude of the stress concentration point in the historical magnetic field detection data; The second judgment module is further used to determine the average amplitude of the stress concentration point according to each of the historical amplitudes, and the second judgment module is further used to determine whether to adjust the stress score Ni according to the relationship between the real-time amplitude and the average amplitude, wherein: When the real-time amplitude is less than or equal to the average amplitude, the second judgment module determines not to adjust the stress score Ni; When the real-time amplitude is greater than the average amplitude, the second judgment module determines the adjustment coefficient of the stress score Ni according to the amplitude difference between the real-time amplitude and the average amplitude, and adjusts the stress score Ni according to the adjustment coefficient, wherein: The second judgment module is further used to determine the adjustment coefficient according to the relationship between the amplitude difference and the first preset amplitude difference and the second preset amplitude difference configured by the second judgment module: When the amplitude difference is less than the first preset amplitude difference, the second judgment module determines that the adjustment coefficient is L1; When the amplitude difference is greater than or equal to the first preset amplitude difference, and the amplitude difference is less than the second preset amplitude difference, the second judgment module determines that the adjustment coefficient is L2; When the amplitude difference is greater than or equal to the second preset amplitude difference, the second judgment module determines that the adjustment coefficient is L3; Moreover, the first preset amplitude difference is smaller than the second preset amplitude difference, L1<L2<L3.

9. The pipeline early warning system based on magnetic flux leakage detection data according to claim 8, characterized in that: When the second judgment module determines that the adjustment coefficient is Li, i=1, 2, 3, and adjusts the stress score Ni according to the adjustment coefficient Li, it includes: The second judgment module is further used to obtain the adjusted stress score, and determine the level of the warning information according to the relationship between the adjusted stress score and the first preset stress score and the second preset stress score configured by the second judgment module; When the stress score is less than the first preset stress score, the second judgment module determines that the level of the warning information is level one; When the stress score is greater than or equal to the first preset stress score, and the stress score is less than the second preset stress score, the second judgment module determines that the level of the warning information is level 2; When the stress score is greater than or equal to the second preset stress score, the second judgment module determines that the level of the warning information is level three; Moreover, the first preset stress score is less than the second preset stress score; level one < level two < level three.

10. A pipeline early warning method based on magnetic flux leakage detection data, applicable to the pipeline early warning system based on magnetic flux leakage detection data as claimed in any one of claims 1 to 9, characterized in that: include: Collecting magnetic leakage data of each preset detection position in the pipeline and historical magnetic field detection data of the pipeline; Whether to send an alarm message is determined based on the magnetic leakage data of each preset detection position in the pipeline and the historical magnetic field detection data of the pipeline.

Images