A signal detection system based on bending strain

Abstract

The present invention relates to the technical field of pipeline detection, and discloses a bending strain detection signal system, including: a data acquisition module, used to obtain the factory specification data and usage data of the pipeline to be detected in each detection section; a specification adjustment module, used to compare the initial usage data with the real-time usage data, determine the specification adjustment coefficient according to the comparison result, and obtain the real-time specification data of the pipeline to be detected in each detection section; a bending detection module, used to obtain the leakage magnetic internal detection data using the leakage magnetic internal detection equipment, and determine the bending position and bending value of the pipeline to be detected; a bending warning module, used to determine whether the pipeline to be detected in the detection section has bending strain according to the real-time specification data, and if bending strain occurs, determine whether to issue a bending strain warning according to the bending value and the bending strain threshold. The present application can accurately obtain various data of the pipeline to be detected, improve the accuracy of detection, and improve processing efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline detection, and in particular to a bending strain-based detection signal system. Background Art

[0002] With the development of the oil and gas industry and urban infrastructure, pipelines, as an important transportation carrier, play a vital role in many fields such as oil, natural gas, chemical industry, and water treatment. The safe operation of pipelines is crucial to ensuring production safety and environmental protection. During long-term use, pipelines may be affected by factors such as geological sliding, ground subsidence, natural disasters, and material aging, and may be deformed, cracked, or even broken. Therefore, it is of great significance to monitor the integrity of pipelines in real time and predict and prevent pipeline accidents.

[0003] Traditional pipeline inspection methods include ultrasonic inspection, magnetic particle inspection, and radiographic inspection. Although these methods can detect pipeline defects to a certain extent, they usually require the pipeline to be shut down, have low inspection efficiency, and some methods have high equipment costs, complex operations, and cannot achieve real-time monitoring. Therefore, it is particularly important to develop a bending strain detection signal system. Summary of the invention

[0004] The purpose of the present invention is to provide a bending strain detection signal system to solve the problems that traditional pipeline detection methods usually require pipeline shutdown processing, have low detection efficiency, and some methods have high equipment costs, complex operations, and cannot achieve real-time monitoring.

[0005] The present invention provides a bending strain detection signal system, comprising:

[0006] A data acquisition module, used to divide the pipeline to be inspected into a number of inspection sections, and obtain factory specification data and usage data of the pipeline to be inspected in each inspection section, wherein the usage data includes initial usage data and real-time usage data;

[0007] A specification adjustment module, used for comparing the initial usage data with the real-time usage data, determining a specification adjustment coefficient according to the comparison result, adjusting the factory specification data according to the specification adjustment coefficient, and obtaining the real-time specification data of the pipeline to be inspected in each inspection section;

[0008] A bending detection module, used to detect the pipeline to be detected by using a magnetic flux leakage internal detection device to obtain magnetic flux leakage internal detection data, and determine the bending position and bending value of the pipeline to be detected according to the magnetic flux leakage internal detection data;

[0009] The bending warning module is used to screen the real-time specification data of the pipeline to be detected in the corresponding detection section according to the bending position, determine whether the pipeline to be detected in the detection section has bending strain according to the real-time specification data, and if bending strain occurs, compare the bending value with the bending strain threshold, and determine whether to issue a bending strain warning according to the comparison result.

[0010] Preferably, when the specification adjustment module is used to compare the initial usage data with the real-time usage data and determine the specification adjustment coefficient according to the comparison result, it includes:

[0011] comparing the initial usage data with the real-time usage data, and if the real-time usage data is the same as the initial usage data, determining a specification adjustment coefficient according to the initial usage data;

[0012] If the real-time usage data is different from the initial usage data, a usage data difference between the real-time usage data and the initial usage data is determined, and a specification adjustment coefficient is determined according to the usage data difference.

[0013] Preferably, when the specification adjustment module is used to determine the specification adjustment coefficient according to the comparison result, it includes:

[0014] The usage data difference includes pressure difference, temperature difference and flow difference;

[0015] When determining the specification adjustment coefficient according to the initial usage data, setting the specification adjustment coefficient as the initial adjustment coefficient C0;

[0016] When the specification adjustment coefficient is determined according to the usage data difference, the specification adjustment coefficient is set as the real-time adjustment coefficient and is calculated according to the following formula:

[0017]

[0018] in, represents the real-time adjustment coefficient, a represents the weight coefficient of pressure data, Indicates the pressure difference, represents the average pressure between the real-time pressure data and the initial pressure data, b represents the weight coefficient of the temperature data, Represents the temperature difference, represents the average temperature between the real-time temperature data and the initial temperature data, c represents the weight coefficient of the flow data, Indicates the flow difference, Indicates the average flow rate between real-time flow data and initial flow data.

[0019] Preferably, the specification adjustment module, when used to adjust the factory specification data according to the specification adjustment coefficient to obtain the real-time specification data of the pipeline to be inspected in each inspection section, includes:

[0020] When the real-time usage data is the same as the initial usage data, the real-time specification data [Gs]=[G0]×C0;

[0021] When the real-time usage data is different from the initial usage data, the real-time specification data [Gs]=[G0]× .

[0022] Preferably, when the bending detection module is used to determine the bending position and bending value of the pipeline to be detected according to the magnetic flux leakage internal detection data, it includes:

[0023] The magnetic flux leakage internal detection data includes defect data and defect location;

[0024] When the bending detection module detects the pipeline to be detected by using the magnetic flux leakage internal detection device, the magnetic flux leakage internal detection device is controlled to perform axial scanning on the pipeline to be detected at the same movement speed. When a pipeline defect is scanned, the defect data at this time as well as the movement speed and scanning time are recorded, and the defect position is determined according to the movement speed and scanning time;

[0025] The defect type of the pipeline is determined according to the defect data, the defect type is screened, and the bending position and bending value are determined when the defect type is a bending defect.

[0026] Preferably, when the bending warning module is used to determine whether the pipeline to be inspected in the inspection section has bending strain according to the real-time specification data, it includes:

[0027] Acquire IMU detection data of the pipeline to be detected in the detection section;

[0028] Comparing the real-time specification data of the pipelines to be inspected in adjacent inspection sections, if the real-time specification data of the pipelines to be inspected in adjacent inspection sections are different, determining that the pipelines to be inspected in the inspection sections have bending strain;

[0029] If the real-time specification data of the pipelines to be detected in adjacent detection sections are the same, the IMU detection data of the pipelines to be detected in adjacent detection sections are compared; if the IMU detection data of the pipelines to be detected in adjacent detection sections are different, it is determined that the pipelines to be detected in the detection sections have bending strain;

[0030] If the real-time specification data of the pipelines to be inspected in adjacent inspection sections are the same, and the IMU detection data of the pipelines to be inspected in adjacent inspection sections are the same, it is determined that the pipelines to be inspected in the inspection sections do not have bending strain.

[0031] Preferably, the bending warning module, when used to compare the bending value with the bending strain threshold and determine whether to issue a bending strain warning according to the comparison result, includes:

[0032] The bending value is compared with the bending strain threshold, and if the bending value is less than the bending strain threshold, no bending strain warning is performed;

[0033] If the bending value is greater than or equal to the bending strain threshold, a bending difference between the bending value and the bending strain threshold is determined, and the bending difference is compared with the bending limit value of the pipeline to be detected. If the bending difference is less than the bending limit value, a primary bending strain warning is performed;

[0034] If the bending difference is greater than or equal to the bending limit value, an advanced bending strain warning is performed.

[0035] Preferably, a bending limit value is set in the bending warning module, and the bending limit value is determined according to the factory specification data of the pipeline to be detected.

[0036] Preferably, the bending limit value is calculated according to the following formula:

[0037]

[0038] in, represents the bending limit value, d represents the weight coefficient of the pipe diameter, e represents the weight coefficient of the pipe material, S represents the cross-sectional area of ​​the pipe, Indicates the density of the pipe material.

[0039] Compared with the prior art, the beneficial effect of the present invention is that the present application discloses a bending strain detection signal system, which can accurately obtain various data of the pipeline to be detected, including factory specification data, usage data and leakage magnetic internal detection data through a data acquisition module and a bending detection module, to ensure the accuracy of the detection. The acquisition of real-time usage data and the role of the specification adjustment module enable the system to understand the status of the pipeline in real time and discover changes and problems in a timely manner. And the specifications are adjusted according to the comparison between the initial usage data and the real-time usage data, which adapts to the changes in the pipeline use process and improves the adaptability of the system. The bending warning module can promptly detect whether the pipeline has bending strain, and issue a warning based on the comparison results, which helps to take measures in advance to avoid accidents. The real-time specification data of the corresponding detection section is screened according to the bending position, and targeted judgment and processing are performed to improve the processing efficiency. The comprehensive monitoring and early warning functions of the system help to ensure the safe operation of the pipeline and reduce risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0041] Figure 1 It is a functional block diagram of a bending strain detection signal system according to the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] like Figure 1 As shown, the present invention provides a bending strain detection signal system, comprising:

[0044] The data acquisition module is used to divide the pipeline to be inspected into several inspection sections, and obtain the factory specification data and usage data of the pipeline to be inspected in each inspection section, wherein the usage data includes initial usage data and real-time usage data.

[0045] The specification adjustment module is used to compare the initial usage data with the real-time usage data, determine the specification adjustment coefficient according to the comparison result, adjust the factory specification data according to the specification adjustment coefficient, and obtain the real-time specification data of the pipeline to be inspected in each inspection section.

[0046] The bending detection module is used to detect the pipeline to be detected by using the magnetic leakage internal detection equipment to obtain magnetic leakage internal detection data, and determine the bending position and bending value of the pipeline to be detected according to the magnetic leakage internal detection data.

[0047] The bending warning module is used to screen the real-time specification data of the pipeline to be detected in the corresponding detection section according to the bending position, determine whether the pipeline to be detected in the detection section has bending strain according to the real-time specification data, and if bending strain occurs, compare the bending value with the bending strain threshold, and determine whether to issue a bending strain warning according to the comparison result.

[0048] In this embodiment, the system of the present application mainly includes the following key modules: the data acquisition module is responsible for dividing the pipeline to be inspected into multiple inspection sections, and can obtain the factory specification data and usage data of each inspection section in detail. These usage data include not only the initial usage data of the pipeline, but also the real-time usage data, so as to ensure the comprehensiveness and accuracy of the data. The function of the specification adjustment module is to conduct a detailed comparative analysis of the initial usage data and the real-time usage data. Through this comparison, the system can determine a specification adjustment coefficient, and then make necessary adjustments to the factory specification data according to this coefficient. In this way, the real-time specification data of the pipeline to be inspected in each inspection section can be accurately calculated, providing a reliable basis for subsequent analysis. The bending detection module uses advanced magnetic leakage internal detection equipment to conduct in-depth detection of the pipeline to be inspected. Through this detection, the system can obtain magnetic leakage internal detection data, and determine the bending position and bending value of the pipeline to be inspected accordingly. These data are crucial for evaluating the health status of the pipeline. The function of the bending warning module is to screen out the real-time specification data of the pipeline to be inspected in the corresponding inspection section based on the bending position. By analyzing these data, the system can determine whether the pipeline to be inspected has undergone bending strain. If bending strain is detected, the system will immediately compare the bending value with the preset bending strain threshold. Based on the comparison results, the system will decide whether to issue a bending strain warning, thereby reminding relevant personnel to take corresponding maintenance or repair measures. Through the collaborative work of these modules, the system can achieve real-time monitoring and early warning of pipeline bending strain, ensuring the safe operation of the pipeline and extending its service life.

[0049] It can be seen that the present application can more accurately understand the real-time status of the pipeline by dividing the pipeline to be detected into several detection sections and obtaining the factory specification data and usage data of each detection section, thereby improving the accuracy of the detection. The specification adjustment module can dynamically adjust the factory specification data according to the comparison results of the initial usage data and the real-time usage data, obtain the real-time specification data of each detection section, and ensure the timeliness and accuracy of the data. The bending detection module uses the leakage magnetic internal detection equipment to detect the pipeline, and can accurately determine the bending position and bending value of the pipeline, providing a reliable basis for subsequent early warning and maintenance. The bending early warning module can determine whether the pipeline has bending strain according to the bending position and real-time specification data, and compare it with the bending strain threshold, and timely issue an early warning to effectively prevent potential safety risks. Through real-time monitoring and early warning, abnormal conditions of the pipeline can be discovered in time, so as to carry out targeted maintenance, avoid large-scale indiscriminate inspections, and improve the efficiency and effectiveness of maintenance work. And through accurate detection and timely early warning, damage caused by excessive bending of the pipeline can be effectively avoided, thereby extending the service life of the pipeline and reducing replacement and maintenance costs.

[0050] In some embodiments of the present application, when the specification adjustment module is used to compare the initial usage data with the real-time usage data and determine the specification adjustment coefficient based on the comparison result, it includes: comparing the initial usage data with the real-time usage data, if the real-time usage data is the same as the initial usage data, determining the specification adjustment coefficient based on the initial usage data; if the real-time usage data is different from the initial usage data, determining the usage data difference between the real-time usage data and the initial usage data, and determining the specification adjustment coefficient based on the usage data difference.

[0051] In this embodiment, the specification adjustment module is used to compare and analyze the initial usage data with the real-time usage data in detail. Through this process, the module can determine a suitable specification adjustment coefficient according to the comparison result. Specifically, the module first compares the initial usage data with the real-time usage data in detail. If it is found in the comparison process that the real-time usage data is completely consistent with the initial usage data, that is, there is no difference between the two, then in this case, the specification adjustment module will directly determine the specification adjustment coefficient based on the initial usage data. However, if it is found in the comparison process that there is a difference between the real-time usage data and the initial usage data, that is, the two are not the same, then the specification adjustment module will take further measures to deal with this situation. Specifically, the module calculates the usage data difference between the real-time usage data and the initial usage data. This difference reflects the specific degree of difference between the two. Once this difference is calculated, the specification adjustment module will determine a suitable specification adjustment coefficient based on this difference. In this way, the module can ensure that the specification adjustment coefficient can accurately reflect the difference between the real-time usage data and the initial usage data, thereby providing a reliable basis for subsequent adjustment work.

[0052] It can be seen that the present application improves the flexibility and adaptability of data processing. Through the specification adjustment module, the system can dynamically adjust the specification parameters according to the comparison results of the real-time usage data and the initial usage data, so as to adapt to different usage scenarios and demand changes. Optimize resource allocation and usage efficiency. When the real-time usage data is the same as the initial usage data, the system can directly use the initial data to determine the specification adjustment coefficient, avoiding unnecessary calculations and saving resources. When there is a difference, the system can adjust according to the actual difference to ensure that resources are reasonably allocated and efficiently used. Enhance the adaptive ability of the system. The specification adjustment module can automatically identify changes in real-time usage data and adjust the specification parameters accordingly, so that the system can automatically adapt to changes in the external environment and internal conditions, improving the stability and reliability of the system. Improve user experience. By adjusting the specification parameters in real time, the system can better meet the actual needs of users and provide more personalized and accurate services, thereby improving user satisfaction and experience. Promote the implementation of data-driven decision-making. The introduction of the specification adjustment module enables the system to make decisions based on real-time data, which helps to achieve data-driven management and service optimization, and provide more accurate and timely information support for decision makers.

[0053] In some embodiments of the present application, when the specification adjustment module is used to determine the specification adjustment coefficient according to the comparison result, it includes: the usage data difference includes a pressure difference, a temperature difference and a flow difference; when the specification adjustment coefficient is determined according to the initial usage data, the specification adjustment coefficient is set to the initial adjustment coefficient C0; when the specification adjustment coefficient is determined according to the usage data difference, the specification adjustment coefficient is set to the real-time adjustment coefficient, calculated according to the following formula:

[0054]

[0055] in, represents the real-time adjustment coefficient, a represents the weight coefficient of pressure data, Indicates the pressure difference, represents the average pressure between the real-time pressure data and the initial pressure data, b represents the weight coefficient of the temperature data, Represents the temperature difference, represents the average temperature between the real-time temperature data and the initial temperature data, c represents the weight coefficient of the flow data, Indicates the flow difference, Indicates the average flow rate between real-time flow data and initial flow data.

[0056] In this embodiment, the specification adjustment module is designed to determine the specification adjustment coefficient based on the comparison results. Specifically, the module includes usage data differences in multiple aspects, including pressure difference, temperature difference and flow difference. When the specification adjustment coefficient is determined using these initial usage data, the specification adjustment coefficient will be set as the initial adjustment coefficient C0. However, when the specification adjustment coefficient is determined based on these usage data differences, the specification adjustment coefficient will be set as the real-time adjustment coefficient. In this way, by considering changes in pressure, temperature and flow, we can adjust the specifications more accurately to ensure the optimal performance of the equipment or system.

[0057] It can be understood that, for example, in an oil pipeline, through real-time monitoring, the pressure drops from 10 bar to 8 bar, the temperature rises from 20°C to 30°C, and the flow rate drops from 100 L / s to 95 L / s. Assuming that the average values ​​of these values ​​are 9 bar, 25°C and 97.5 L / s, the adjustment coefficient can be calculated:

[0058]

[0059] This adjustment factor can be used to further optimize the pipeline's operational settings and safety monitoring.

[0060] In some embodiments of the present application, the specification adjustment module is used to adjust the factory specification data according to the specification adjustment coefficient to obtain the real-time specification data of the pipeline to be detected in each detection section, including: when the real-time usage data is the same as the initial usage data, the real-time specification data [Gs] = [G0] × C0; when the real-time usage data is different from the initial usage data, the real-time specification data [Gs] = [G0] × .

[0061] In this embodiment, when the specification adjustment module performs its function, it is mainly to make corresponding adjustments to the specification data set at the factory according to a specific specification adjustment coefficient. This process is to obtain the real-time specification data of the pipeline to be inspected in each detection section in actual use. Specifically, when the real-time usage data is completely consistent with the initial set usage data, the real-time specification data [Gs] can be calculated by multiplying the initial specification data [G0] by a fixed adjustment coefficient C0. However, if there is a difference between the real-time usage data and the initial set usage data, the real-time specification data [Gs] needs to be obtained by multiplying the initial specification data [G0] by a dynamic adjustment coefficient Cs. This adjustment mechanism ensures that the pipeline specification data can be flexibly adjusted according to actual usage conditions, thereby improving the accuracy and reliability of detection.

[0062] In some embodiments of the present application, when the bending detection module is used to determine the bending position and bending value of the pipeline to be detected according to the leakage magnetic internal detection data, it includes: the leakage magnetic internal detection data includes defect data and defect position; when the bending detection module uses the leakage magnetic internal detection device to detect the pipeline to be detected, the leakage magnetic internal detection device is controlled to perform axial scanning on the pipeline to be detected at the same movement speed, and when a pipeline defect is scanned, the defect data at this time as well as the movement speed and scanning time are recorded, and the defect position is determined according to the movement speed and scanning time; the defect type of the pipeline is determined according to the defect data, the defect type is screened, and the bending position and bending value are determined when the defect type is a bending defect.

[0063] In this embodiment, the bending detection module is designed to determine the bending position and bending value of the pipeline to be detected based on the magnetic flux leakage internal detection data. Specifically, the magnetic flux leakage internal detection data contains two key information: defect data and defect position. When the magnetic flux leakage internal detection device is used to detect the pipeline to be detected, the bending detection module controls the device to scan along the axial direction of the pipeline at a constant movement speed. During the scanning process, once the defect of the pipeline is detected, the system will immediately record the defect data at this time and the corresponding movement speed and scanning time. By analyzing the movement speed and scanning time, the specific location of the defect can be accurately calculated. Next, the system will determine the defect type of the pipeline based on the recorded defect data. In order to improve the accuracy of the detection, the system will screen the defect type and exclude the interference of those non-bending defects. When it is determined that the defect type is a bending defect, the system will further calculate the specific location and bending value of the bend. In this way, through the coordinated work of the magnetic flux leakage internal detection device and the bending detection module, the bending defect in the pipeline can be effectively identified, and accurate bending position and bending value information can be provided, thereby providing an important reference for subsequent repair and maintenance work.

[0064] It can be seen that the present application ensures the consistency and repeatability of the detection process by controlling the leakage magnetic internal detection equipment to perform axial scanning at the same movement speed, thereby improving the accuracy of the detection data. By simultaneously recording the defect data as well as the movement speed and scanning time, the location of the defect can be accurately calculated, providing reliable data support for subsequent defect analysis and processing. By screening the defect type, when the defect type is determined to be a bending defect, the bending position and bending value of the pipeline can be quickly identified, facilitating timely adoption of corresponding repair measures.

[0065] In some embodiments of the present application, when the bending warning module is used to determine whether bending strain occurs in the pipeline to be detected in the detection section according to the real-time specification data, it includes: obtaining IMU detection data of the pipeline to be detected in the detection section; comparing the real-time specification data of the pipelines to be detected in adjacent detection sections, if the real-time specification data of the pipelines to be detected in adjacent detection sections are different, it is determined that bending strain occurs in the pipeline to be detected in the detection section; if the real-time specification data of the pipelines to be detected in adjacent detection sections are the same, then comparing the IMU detection data of the pipelines to be detected in adjacent detection sections, if the IMU detection data of the pipelines to be detected in adjacent detection sections are different, it is determined that bending strain occurs in the pipeline to be detected in the detection section; if the real-time specification data of the pipelines to be detected in adjacent detection sections are the same, and the IMU detection data of the pipelines to be detected in adjacent detection sections are the same, it is determined that bending strain does not occur in the pipeline to be detected in the detection section.

[0066] In this embodiment, the bending warning module is designed to determine whether the pipeline to be detected has bending strain in the detection section according to the real-time specification data. Specifically, the module first obtains the inertial measurement unit (IMU) detection data of the pipeline to be detected in the detection section. Subsequently, the module compares and analyzes the real-time specification data of the pipeline to be detected in the adjacent detection sections. If it is found that there are differences in the real-time specification data of the pipeline to be detected in the adjacent detection sections, it can be preliminarily determined that the pipeline to be detected in the current detection section has undergone bending strain. However, if the real-time specification data of the pipeline to be detected in the adjacent detection sections are the same, the bending warning module will further compare the IMU detection data of the pipeline to be detected in the adjacent detection sections. By analyzing these data, if it is found that there are differences in the IMU detection data of the pipeline to be detected in the adjacent detection sections, it can be further confirmed that the pipeline to be detected in the current detection section has indeed undergone bending strain. On the contrary, if the real-time specification data and IMU detection data of the pipeline to be detected in the adjacent detection sections are the same, the bending warning module will conclude that the pipeline to be detected in the current detection section has not undergone bending strain. Through this comprehensive comparative analysis method, the bending warning module can more accurately determine whether bending strain has occurred in the inspection section of the pipeline to be inspected, thereby providing strong technical support for pipeline maintenance and safety.

[0067] It can be seen that by combining IMU detection data and real-time specification data, it is possible to more accurately determine whether the pipeline has bending strain, improve detection accuracy, and reduce false alarms and missed alarms. In addition, this solution can obtain the IMU detection data and specification data of the pipeline in real time, and promptly detect abnormal conditions of the pipeline, which helps to quickly respond to and deal with potential problems. By comparing the data of adjacent detection sections, the detection process can be simplified, unnecessary detection steps can be reduced, and work efficiency can be improved. Accurate bending warning can reduce the maintenance costs caused by pipeline damage and extend the service life of the pipeline. Timely detection of pipeline bending strain can prevent possible leakage or rupture accidents and ensure the safety of personnel and the environment.

[0068] In some embodiments of the present application, the bending warning module, when used to compare the bending value with the bending strain threshold and determine whether to issue a bending strain warning based on the comparison result, includes: comparing the bending value with the bending strain threshold, if the bending value is less than the bending strain threshold, no bending strain warning is issued; if the bending value is greater than or equal to the bending strain threshold, determining the bending difference between the bending value and the bending strain threshold, comparing the bending difference with the bending limit value of the pipeline to be detected, if the bending difference is less than the bending limit value, issuing a primary bending strain warning; if the bending difference is greater than or equal to the bending limit value, issuing an advanced bending strain warning.

[0069] In this embodiment, the bending warning module is designed to determine whether a bending strain warning needs to be issued by comparing the detected bending value with a preset bending strain threshold. The specific operation steps are as follows: First, the module obtains the current bending value and compares it with the set bending strain threshold. If the detected bending value is less than the bending strain threshold, the system will not issue any bending strain warning, because the bending degree at this time has not reached a level that requires attention. However, if the detected bending value is greater than or equal to the bending strain threshold, it means that the bending degree has exceeded the safe range, and the system will perform further analysis at this time. Specifically, the system calculates the difference between the current bending value and the bending strain threshold, that is, the bending difference. Next, the system compares this bending difference with the bending limit value of the pipeline to be detected. If the bending difference is less than the bending limit value, the system will issue a primary bending strain warning to prompt relevant personnel to pay attention and take preliminary preventive measures. On the contrary, if the bending difference is greater than or equal to the bending limit value, the system will issue an advanced bending strain warning, indicating that the bending degree of the pipeline is already very serious and emergency measures may need to be taken immediately to avoid potential damage or accidents. Through this hierarchical early warning mechanism, the bending status of the pipeline can be effectively monitored in real time, and corresponding countermeasures can be taken according to different degrees of bending, thereby ensuring the safe operation of the pipeline.

[0070] It can be seen that by comparing the bending value with the bending strain threshold, the present application can accurately determine whether a bending strain warning needs to be issued, thus avoiding unnecessary false alarms; according to the comparison results of the bending difference and the bending limit value, a primary or advanced bending strain warning can be implemented, so that different degrees of response measures can be taken according to the actual situation. And through timely bending strain warnings, damage to the pipeline caused by excessive bending can be effectively prevented, and the service life of the pipeline can be extended. Through the hierarchical warning mechanism, maintenance personnel can give priority to advanced bending strain warnings, reasonably allocate maintenance resources, and improve the efficiency of maintenance work.

[0071] In some embodiments of the present application, a bending limit value is set in the bending warning module, and the bending limit value is determined according to the factory specification data of the pipeline to be detected.

[0072] In some embodiments of the present application, the bending limit value is calculated according to the following formula:

[0073]

[0074] in, represents the bending limit value, d represents the weight coefficient of the pipe diameter, e represents the weight coefficient of the pipe material, S represents the cross-sectional area of ​​the pipe, Indicates the density of the pipe material.

[0075] In this embodiment, a certain bending limit value has been pre-set in the bending warning module. The bending limit value is determined according to the factory specification data of the pipeline to be detected. In the above manner, a reasonable bending limit value can be set according to the specific parameters of the pipeline, thereby ensuring timely warning during the detection process to avoid damage to the pipeline due to excessive bending.

[0076] It can be seen that by setting the bending limit value based on the factory specification data of the pipeline, the actual bearing capacity of the pipeline can be more accurately reflected, thereby improving the accuracy of the early warning system. Timely bending warning can effectively avoid damage to the pipeline caused by excessive bending and extend the service life of the pipeline. In addition, the bending limit value can be customized according to the specific parameters of each pipeline, ensuring the personalization and pertinence of the detection, improving the detection efficiency and effect; it can reduce emergency repairs and replacements caused by pipeline damage, thereby reducing maintenance costs; ensuring that the pipeline operates within the safe bending range helps to ensure the stability and safety of the entire system and reduce the risk of accidents.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

[0078] The system provided in the above embodiment is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or combined. For example, the modules in the above embodiment can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not regarded as improper limitations of the present invention.

[0079] Those skilled in the art should be able to appreciate that the modules and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two, and the programs corresponding to the software modules and method steps can be placed in random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs or any other form of storage medium known in the technical field. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are performed in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

Claims

1. A bending strain detection signal system, characterized in that: include: A data acquisition module, used to divide the pipeline to be inspected into a number of inspection sections, and obtain factory specification data and usage data of the pipeline to be inspected in each inspection section, wherein the usage data includes initial usage data and real-time usage data; A specification adjustment module, used for comparing the initial usage data with the real-time usage data, determining a specification adjustment coefficient according to the comparison result, adjusting the factory specification data according to the specification adjustment coefficient, and obtaining the real-time specification data of the pipeline to be inspected in each inspection section; A bending detection module, used to detect the pipeline to be detected by using a magnetic flux leakage internal detection device to obtain magnetic flux leakage internal detection data, and determine the bending position and bending value of the pipeline to be detected according to the magnetic flux leakage internal detection data; The bending warning module is used to screen the real-time specification data of the pipeline to be detected in the corresponding detection section according to the bending position, determine whether the pipeline to be detected in the detection section has bending strain according to the real-time specification data, and if bending strain occurs, compare the bending value with the bending strain threshold, and determine whether to issue a bending strain warning according to the comparison result.

2. The bending strain detection signal system according to claim 1, characterized in that: The specification adjustment module, when used to compare the initial usage data with the real-time usage data and determine the specification adjustment coefficient according to the comparison result, includes: comparing the initial usage data with the real-time usage data, and if the real-time usage data is the same as the initial usage data, determining a specification adjustment coefficient according to the initial usage data; If the real-time usage data is different from the initial usage data, a usage data difference between the real-time usage data and the initial usage data is determined, and a specification adjustment coefficient is determined according to the usage data difference.

3. The bending strain detection signal system according to claim 2, characterized in that: When the specification adjustment module is used to determine the specification adjustment coefficient according to the comparison result, it includes: The usage data difference includes pressure difference, temperature difference and flow difference; When determining the specification adjustment coefficient according to the initial usage data, setting the specification adjustment coefficient as the initial adjustment coefficient C0; When the specification adjustment coefficient is determined according to the usage data difference, the specification adjustment coefficient is set as the real-time adjustment coefficient and is calculated according to the following formula: ； in, represents the real-time adjustment coefficient, a represents the weight coefficient of pressure data, Indicates the pressure difference, represents the average pressure between the real-time pressure data and the initial pressure data, b represents the weight coefficient of the temperature data, Represents the temperature difference, represents the average temperature between the real-time temperature data and the initial temperature data, c represents the weight coefficient of the flow data, Indicates the flow difference, Indicates the average flow rate between real-time flow data and initial flow data.

4. The bending strain detection signal system according to claim 3 is characterized in that: The specification adjustment module, when used to adjust the factory specification data according to the specification adjustment coefficient to obtain the real-time specification data of the pipeline to be inspected in each inspection section, includes: When the real-time usage data is the same as the initial usage data, the real-time specification data [Gs]=[G0]×C0; When the real-time usage data is different from the initial usage data, the real-time specification data [Gs]=[G0]× .

5. The bending strain detection signal system according to claim 4, characterized in that: The bending detection module, when used to determine the bending position and bending value of the pipeline to be detected according to the magnetic flux leakage internal detection data, includes: The magnetic flux leakage internal detection data includes defect data and defect location; When the bending detection module detects the pipeline to be detected by using the magnetic flux leakage internal detection device, the magnetic flux leakage internal detection device is controlled to perform axial scanning on the pipeline to be detected at the same movement speed. When a pipeline defect is scanned, the defect data at this time as well as the movement speed and scanning time are recorded, and the defect position is determined according to the movement speed and scanning time; The defect type of the pipeline is determined according to the defect data, the defect type is screened, and the bending position and bending value are determined when the defect type is a bending defect.

6. The bending strain detection signal system according to claim 5, characterized in that: The bending warning module, when used to determine whether the pipeline to be inspected in the inspection section has bending strain according to the real-time specification data, includes: Acquire IMU detection data of the pipeline to be detected in the detection section; Comparing the real-time specification data of the pipelines to be inspected in adjacent inspection sections, if the real-time specification data of the pipelines to be inspected in adjacent inspection sections are different, determining that the pipelines to be inspected in the inspection sections have bending strain; If the real-time specification data of the pipelines to be detected in adjacent detection sections are the same, the IMU detection data of the pipelines to be detected in adjacent detection sections are compared; if the IMU detection data of the pipelines to be detected in adjacent detection sections are different, it is determined that the pipelines to be detected in the detection sections have bending strain; If the real-time specification data of the pipelines to be inspected in adjacent inspection sections are the same, and the IMU detection data of the pipelines to be inspected in adjacent inspection sections are the same, it is determined that the pipelines to be inspected in the inspection sections do not have bending strain.

7. The bending strain detection signal system according to claim 6, characterized in that: The bending warning module is used to compare the bending value with the bending strain threshold value, and determine whether to issue a bending strain warning according to the comparison result, including: The bending value is compared with the bending strain threshold, and if the bending value is less than the bending strain threshold, no bending strain warning is performed; If the bending value is greater than or equal to the bending strain threshold, a bending difference between the bending value and the bending strain threshold is determined, and the bending difference is compared with the bending limit value of the pipeline to be detected. If the bending difference is less than the bending limit value, a primary bending strain warning is performed; If the bending difference is greater than or equal to the bending limit value, an advanced bending strain warning is performed.

8. The bending strain detection signal system according to claim 7, characterized in that: The bending warning module is set with a bending limit value, and the bending limit value is determined according to the factory specification data of the pipeline to be detected.

9. The bending strain detection signal system according to claim 8, characterized in that: The bending limit value is calculated according to the following formula: ； in, represents the bending limit value, d represents the weight coefficient of the pipe diameter, e represents the weight coefficient of the pipe material, S represents the cross-sectional area of ​​the pipe, Indicates the density of the pipe material.

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