Pipeline welding seam monitoring system based on wireless passive sensor

Abstract

The invention relates to the technical field of welding seam monitoring, and discloses a pipeline welding seam monitoring system based on a wireless passive sensor, an initial analysis module collects first pipeline welding seam information corresponding to a plurality of collection time points based on the wireless passive sensor, and generates an initial welding seam mark for a welding seam defect monitoring pipeline; the curve calculation module carries out curve fitting on the first pipeline welding seam information to obtain a pipeline welding seam information curve, and an initial pipeline welding seam defect value is calculated; the numerical value setting module is used for collecting second pipeline welding seam information corresponding to a time period based on a wireless passive sensor and setting an adjusting value; and the welding seam monitoring module adjusts the initial pipeline welding seam defect value based on the adjustment value to obtain a pipeline welding seam defect value, and judges whether the welding seam defect monitoring pipeline has pipeline welding seam defects or not. The pipeline welding seam information is collected in real time based on the wireless passive sensor, the real-time performance and accuracy of pipeline welding seam defect monitoring are guaranteed, the labor intensity and cost of manual monitoring are reduced, and the working efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of weld monitoring, and in particular to a pipeline weld monitoring system based on a wireless passive sensor. Background Art

[0002] In modern industrial production, pipelines are important tools for transporting liquids and gases, and their safety and reliability are of vital importance. Welds are the key link in pipeline connection, and their quality directly affects the stability and service life of the entire pipeline system.

[0003] Existing pipeline weld defect monitoring methods mainly rely on manual periodic monitoring or active sensors, which have the following problems: 1. Low efficiency of manual monitoring: Manual periodic monitoring is time-consuming and labor-intensive, and continuous monitoring cannot be achieved. 2. High maintenance cost of active sensors: Active sensors require external power supply, which has high maintenance costs and is difficult to arrange power supply in certain environments. 3. Poor real-time data: There may be delays in data transmission between manual monitoring and active sensors, making it difficult to detect weld defects in a timely manner. 4. Poor environmental adaptability: Active sensors may not work properly in high temperature, high pressure or corrosive environments. 5. Low monitoring accuracy: Traditional methods make it difficult to accurately identify the status and potential problems of welds. Summary of the invention

[0004] In view of this, the present application proposes a pipeline weld monitoring system based on wireless passive sensors. The present application can collect pipeline weld information in real time based on wireless passive sensors, and by analyzing the pipeline weld information, ensure the real-time and accuracy of pipeline weld defect monitoring, reduce the labor intensity and cost of manual monitoring, and improve work efficiency.

[0005] This application proposes a pipeline weld monitoring system based on wireless passive sensors, including:

[0006] An initial analysis module is used to collect the first pipeline weld information of the weld defect monitoring pipeline corresponding to multiple collection time points based on a preset wireless passive sensor, perform initial analysis on the first pipeline weld information, and generate an initial weld mark for the weld defect monitoring pipeline, wherein the initial weld mark includes a weld defect mark to be determined;

[0007] A curve calculation module is used to perform curve fitting on the first pipeline weld information when a weld defect mark to be determined is extracted to obtain a pipeline weld information curve, and calculate an initial pipeline weld defect value of the weld defect monitoring pipeline based on the pipeline weld information curve;

[0008] A value setting module, for collecting the second pipeline weld information of the weld defect monitoring pipeline corresponding to the time node based on the wireless passive sensor, and setting the adjustment value of the initial pipeline weld defect value according to the second pipeline weld information;

[0009] The weld monitoring module is used to adjust the initial pipeline weld defect value based on the adjustment value to obtain the pipeline weld defect value, and judge whether there is a pipeline weld defect in the weld defect monitoring pipeline according to the pipeline weld defect value.

[0010] Optionally, the initial weld mark also includes a weld defect mark and a weld compliance mark; the initial analysis module is specifically used for:

[0011] Acquire a preset pipeline weld information range corresponding to the first pipeline weld information, wherein the first pipeline weld information includes a pipeline weld pressure parameter;

[0012] If the first pipeline weld information is all within the preset pipeline weld information range, a weld compliance mark is generated for the weld defect monitoring pipeline;

[0013] If the first pipeline weld information is not within the preset pipeline weld information range, a weld defect mark is generated for the weld defect monitoring pipeline;

[0014] If there is a first quantity of first pipeline weld information within the preset pipeline weld information range, and there is a second quantity of first pipeline weld information outside the preset pipeline weld information range, a weld defect mark to be determined is generated for the weld defect monitoring pipeline.

[0015] Optionally, the pipeline weld information curve includes an upper fluctuation information curve and a lower fluctuation information curve; the curve calculation module is specifically used for:

[0016] Extracting a first range value and a second range value from a preset pipeline weld information range;

[0017] Classify the first pipeline weld information that is smaller than the first range value into a first pipeline weld information set;

[0018] Classify the first pipeline weld information that is greater than the second range value into the second pipeline weld information set;

[0019] Taking the first pipeline weld information in the first pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the first weld fitting point, performing curve fitting based on the determined first weld fitting point, and obtaining a lower fluctuation information curve;

[0020] Determine the first weld fitting slope corresponding to each first weld fitting point on the lower fluctuation information curve, and calculate the first pipeline weld information mean of the first pipeline weld information in the first pipeline weld information set;

[0021] Calculate the first product value of each first weld fitting slope and the first pipeline weld information mean value respectively, and use it as the first weld defect monitoring factor;

[0022] Taking the first pipeline weld information in the second pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the second weld fitting point, performing curve fitting based on the determined second weld fitting point, and obtaining an upper fluctuation information curve;

[0023] Determine the second weld fitting slope corresponding to each second weld fitting point on the upper fluctuation information curve, and calculate the second pipeline weld information mean of the first pipeline weld information in the second pipeline weld information set;

[0024] Calculate the second product value of each second weld fitting slope and the second pipeline weld information mean value respectively, and use it as the second weld defect monitoring factor;

[0025] An initial pipeline weld defect value of the weld defect monitoring pipeline is calculated based on the first weld defect monitoring factor and the second weld defect monitoring factor.

[0026] Optionally, the curve calculation module is specifically used for:

[0027] Randomly combining the first weld defect monitoring factor and the second weld defect monitoring factor in pairs to obtain a plurality of weld defect monitoring factor groups;

[0028] The initial pipeline weld defect value of the weld defect monitoring pipeline is calculated according to the following formula:

[0029]

[0030] Among them, q is the initial pipeline weld defect value of the weld defect monitoring pipeline, m is the number of weld defect monitoring factor groups, g f is the first weld defect monitoring factor in the fth weld defect monitoring factor group, h f is the second weld defect monitoring factor in the fth weld defect monitoring factor group, m1 is the number of the first weld defect monitoring factors, m2 is the number of the second weld defect monitoring factors, y e is the e-th first weld defect monitoring factor, t r is the rth second weld defect monitoring factor.

[0031] Optionally, the second pipeline weld information includes pipeline weld temperature parameters; the value setting module is specifically used for:

[0032] Determine a first pipeline weld temperature parameter and a second pipeline weld temperature parameter of the time node, wherein the first pipeline weld temperature parameter is the pipeline weld temperature parameter corresponding to the end time of the time node, and the second pipeline weld temperature parameter is the pipeline weld temperature parameter difference between the pipeline weld temperature parameters corresponding to the start time and the end time of the time node;

[0033] The pipeline weld temperature parameter change value of the time node is determined according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, wherein the pipeline weld temperature parameter change value is the sum of the first pipeline weld temperature parameter and the second pipeline weld temperature parameter.

[0034] Optionally, the second pipeline weld information also includes pipeline weld vibration parameters; the numerical setting module is specifically used for:

[0035] Determine a first pipeline weld vibration parameter and a second pipeline weld vibration parameter of a time node, wherein the first pipeline weld vibration parameter is a pipeline weld vibration parameter corresponding to the end time of the time node, and the second pipeline weld vibration parameter is a pipeline weld vibration parameter difference between the pipeline weld vibration parameters corresponding to the start time and the end time of the time node;

[0036] The pipeline weld vibration parameter change value of the time node is determined according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, wherein the pipeline weld vibration parameter change value is the sum of the first pipeline weld vibration parameter and the second pipeline weld vibration parameter.

[0037] Optionally, the value setting module is specifically used for:

[0038] Calculate the comprehensive parameter change value of the time node according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value;

[0039] u=p1×a1+p2×a2;

[0040] Among them, u is the comprehensive parameter change value of the time node, p1 is the pipeline weld temperature parameter change value, p2 is the pipeline weld vibration parameter change value, a1 is the first calculation coefficient, a2 is the second calculation coefficient, a1+a2=1, and a1>a2.

[0041] Optionally, the value setting module is specifically used for:

[0042] When the comprehensive parameter change value is less than the first preset comprehensive parameter change value, the first preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0043] When the comprehensive parameter change value is greater than or equal to the first preset comprehensive parameter change value and less than the second preset comprehensive parameter change value, the second preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0044] When the comprehensive parameter change value is greater than or equal to the second preset comprehensive parameter change value, the third preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0045] Among them, the third preset adjustment value is greater than the second preset adjustment value and greater than the first preset adjustment value.

[0046] Optionally, the weld monitoring module is specifically used for:

[0047] The product value of the adjustment value and the initial pipeline weld defect value is calculated and used as the pipeline weld defect value of the weld defect monitoring pipeline.

[0048] Optionally, the weld monitoring module is specifically used for:

[0049] When the pipeline weld defect value is less than the preset pipeline weld defect value, it is judged that there is no pipeline weld defect in the weld defect monitoring pipeline;

[0050] When the pipeline weld defect value is greater than or equal to the preset pipeline weld defect value, it is judged that the weld defect monitoring pipeline has a pipeline weld defect, and an alarm reminder is issued in real time.

[0051] In a second aspect, a pipeline weld monitoring method based on a wireless passive sensor is provided, which is applied to any pipeline weld monitoring system based on a wireless passive sensor according to the first aspect, comprising:

[0052] Based on a preset wireless passive sensor, first pipeline weld information of the weld defect monitoring pipeline corresponding to a plurality of collection time points is collected, initial analysis is performed on the first pipeline weld information, and an initial weld mark is generated for the weld defect monitoring pipeline, wherein the initial weld mark includes a weld defect mark to be determined;

[0053] When the weld defect mark to be judged is extracted, curve fitting is performed on the first pipeline weld information to obtain a pipeline weld information curve, and an initial pipeline weld defect value of the weld defect monitoring pipeline is calculated based on the pipeline weld information curve;

[0054] The second pipeline weld information of the weld defect monitoring pipeline corresponding to the time node is collected based on the wireless passive sensor, and the adjustment value of the initial pipeline weld defect value is set according to the second pipeline weld information;

[0055] The initial pipeline weld defect value is adjusted based on the adjustment value to obtain the pipeline weld defect value, and it is judged whether there is a pipeline weld defect in the weld defect monitoring pipeline according to the pipeline weld defect value.

[0056] In a third aspect, a pipeline weld monitoring device based on a wireless passive sensor is provided, comprising a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the pipeline weld monitoring device based on the wireless passive sensor is running, the processor executes the computer execution instructions stored in the memory, so that the pipeline weld monitoring device based on the wireless passive sensor performs the pipeline weld monitoring method based on the wireless passive sensor described in the second aspect.

[0057] The pipeline weld monitoring device based on wireless passive sensors can be an electronic device, or a part of an electronic device, such as a chip system in an electronic device. The chip system is used to support the electronic device to implement the functions involved in the first aspect and any possible implementation thereof, for example, to obtain, determine, and send the data and / or information involved in the above-mentioned pipeline weld monitoring method based on wireless passive sensors. The chip system includes a chip, and may also include other discrete devices or circuit structures.

[0058] In a fourth aspect, a computer-readable storage medium is provided, the computer-readable storage medium comprising computer execution instructions, and when the computer execution instructions are executed on a computer, the computer executes the pipeline weld monitoring method based on wireless passive sensors described in the second aspect.

[0059] In a fifth aspect, a computer program product is also provided, which includes computer instructions. When the computer instructions are executed on a pipeline weld monitoring device based on a wireless passive sensor, the pipeline weld monitoring device based on a wireless passive sensor performs the pipeline weld monitoring method based on a wireless passive sensor as described in the second aspect above.

[0060] It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer-readable storage medium may be packaged together with the processor of the pipeline weld monitoring device based on the wireless passive sensor, or may be packaged separately from the processor of the pipeline weld monitoring device based on the wireless passive sensor, and the embodiments of the present application are not limited to this.

[0061] The description of the second, third, fourth and fifth aspects of the present application can refer to the detailed description of the first aspect.

[0062] In the embodiments of the present application, the name of the above-mentioned pipeline weld monitoring device based on wireless passive sensor does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. For example, the receiving unit may also be called a receiving module, a receiver, etc. As long as the functions of each device or functional module are similar to those of the present application, they belong to the scope of the claims of the present application and their equivalent technologies.

[0063] The present application discloses a pipeline weld monitoring system based on a wireless passive sensor. The initial analysis module collects the first pipeline weld information corresponding to multiple collection time points based on the wireless passive sensor, and generates an initial weld mark for the weld defect monitoring pipeline; the curve calculation module performs curve fitting on the first pipeline weld information, obtains the pipeline weld information curve, and calculates the initial pipeline weld defect value; the value setting module sets the adjustment value based on the second pipeline weld information corresponding to the wireless passive sensor collection time node; the weld monitoring module adjusts the initial pipeline weld defect value based on the adjustment value, obtains the pipeline weld defect value, and determines whether the weld defect monitoring pipeline has a pipeline weld defect. The present application collects pipeline weld information in real time based on wireless passive sensors, ensures the real-time and accuracy of pipeline weld defect monitoring, reduces the labor intensity and cost of manual monitoring, and improves work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] 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 application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0065] Figure 1 A schematic diagram of the structure of a pipeline weld monitoring system based on a wireless passive sensor provided in an embodiment of the present application;

[0066] Figure 2 A schematic diagram of a pipeline weld monitoring method based on a wireless passive sensor provided in an embodiment of the present application;

[0067] Figure 3 A schematic structural diagram of a pipeline weld monitoring device based on a wireless passive sensor provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] 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 set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to be able 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 in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0069] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides a pipeline weld monitoring system based on a wireless passive sensor, including:

[0070] An initial analysis module is used to collect the first pipeline weld information of the weld defect monitoring pipeline corresponding to multiple collection time points based on a preset wireless passive sensor, perform initial analysis on the first pipeline weld information, and generate an initial weld mark for the weld defect monitoring pipeline, wherein the initial weld mark includes a weld defect mark to be determined;

[0071] A curve calculation module is used to perform curve fitting on the first pipeline weld information when a weld defect mark to be determined is extracted to obtain a pipeline weld information curve, and calculate an initial pipeline weld defect value of the weld defect monitoring pipeline based on the pipeline weld information curve;

[0072] A value setting module, for collecting the second pipeline weld information of the weld defect monitoring pipeline corresponding to the time node based on the wireless passive sensor, and setting the adjustment value of the initial pipeline weld defect value according to the second pipeline weld information;

[0073] The weld monitoring module is used to adjust the initial pipeline weld defect value based on the adjustment value to obtain the pipeline weld defect value, and judge whether there is a pipeline weld defect in the weld defect monitoring pipeline according to the pipeline weld defect value.

[0074] In this embodiment, wireless passive sensor installation: wireless passive sensors are installed at key monitoring points of pipeline welds to ensure that the wireless passive sensors are in close contact with the welds. According to monitoring requirements, select appropriate models and quantities. Wireless passive sensor initialization: Use a handheld reader to initialize the newly installed wireless passive sensors, write initial information and save it in the data management system. Ensure the accuracy and completeness of wireless passive sensor information to avoid duplication and omission. Data collection: Use a handheld reader or an online automatic collector (RDC) to collect wireless passive sensor data regularly or in real time. The handheld reader reads the wireless passive sensor data in a non-contact manner, completes measurement and data acquisition, stores data and waveform records, and synchronously reads the positioning module RFID information. The online automatic collector (RDC) is wirelessly connected to the weld sensor through a reading coil, automatically collects data at a preset frequency, and stores it in an internal memory. Data transmission: The handheld reader exports the collected data to a computer or server through a USB interface. The online automatic collector (RDC) transmits data to the data management system through a wireless communication module.

[0075] In this embodiment, the collection time point is pre-set, such as the 1st second, the 3rd second, the 4th second, the 6th second, etc., and can be set according to actual conditions.

[0076] The beneficial effects of the above technical solution are: this application collects pipeline weld information in real time based on wireless passive sensors, ensures the accuracy and completeness of data, reduces human errors, and thus ensures the real-time and accuracy of pipeline weld defect monitoring, reduces the labor intensity and cost of manual monitoring, and improves work efficiency.

[0077] In some embodiments of the present application, the initial weld mark also includes a weld defect mark and a weld compliance mark; the initial analysis module is specifically used to:

[0078] The initial analysis module is used to obtain a preset pipeline weld information range corresponding to the first pipeline weld information, wherein the first pipeline weld information includes a pipeline weld pressure parameter;

[0079] Next, the initial analysis module can be used to generate an initial weld mark for the weld defect monitoring pipeline based on a preset pipeline weld information range, namely:

[0080] If the first pipeline weld information is all within the preset pipeline weld information range, a weld compliance mark is generated for the weld defect monitoring pipeline;

[0081] If the pipeline weld information is not within the preset pipeline weld information range, a weld defect mark is generated for the weld defect monitoring pipeline;

[0082] If there is pipeline weld information within the preset pipeline weld information range, and there is pipeline weld information outside the preset pipeline weld information range, a weld defect mark to be judged is generated for the weld defect monitoring pipeline, that is, if there is a first number of first pipeline weld information within the preset pipeline weld information range, and there is a second number of first pipeline weld information outside the preset pipeline weld information range, the weld defect mark to be judged is generated for the weld defect monitoring pipeline.

[0083] In this embodiment, the preset pipeline weld information range is obtained based on a pipeline without weld defects. Here, the preset pipeline weld information range is preferably 45Mpa-55Mpa, and can be adjusted according to actual conditions.

[0084] In this embodiment, when the first pipeline weld information is greater than or equal to 45 MPa and less than or equal to 55 MPa, it is determined that the first pipeline weld information is within the preset pipeline weld information range.

[0085] In this embodiment, when a weld compliance mark is identified, it is judged that the weld defect monitoring pipeline has no weld defects. When a weld defect mark is identified, it is judged that the weld defect monitoring pipeline has weld defects. When a weld defect mark to be determined is identified, it is necessary to further judge whether the weld defect monitoring pipeline has weld defects.

[0086] The beneficial effect of the above technical solution is: according to the first pipeline weld information and the corresponding preset pipeline weld information range, the present application can generate a weld defect mark, a weld compliance mark and a weld defect mark to be judged for the weld defect monitoring pipeline, thereby achieving a preliminary judgment on the weld defect monitoring pipeline and improving the initial judgment efficiency.

[0087] In some embodiments of the present application, the pipeline weld information curve includes an upper fluctuation information curve and a lower fluctuation information curve; the curve calculation module is specifically used for:

[0088] The curve calculation module is used to extract a first range value and a second range value from a preset pipeline weld information range;

[0089] The curve calculation module is used to classify the first pipeline weld information based on the first range value and the second range value, namely:

[0090] The first pipeline weld information with a value smaller than the first range is classified into a first pipeline weld information set, and the first pipeline weld information with a value larger than the second range is classified into a second pipeline weld information set.

[0091] That is, when the first pipeline weld information is less than the first range value, the corresponding pipeline weld information is classified into the first pipeline weld information set.

[0092] Correspondingly, when the first pipeline weld information is greater than the second range value, the corresponding pipeline weld information is classified into the second pipeline weld information set.

[0093] Next, the curve calculation module is used to determine the first weld fitting point with the first pipeline weld information in the first pipeline weld information set as the ordinate and the acquisition time point as the abscissa, and perform curve fitting based on the determined first weld fitting point to obtain the lower fluctuation information curve;

[0094] Next, the curve calculation module is used to determine the first weld fitting slope corresponding to each first weld fitting point on the lower fluctuation information curve, and calculate the pipeline weld information mean of the first pipeline weld information in the first pipeline weld information set;

[0095] Next, the curve calculation module is used to calculate the product value of each first weld fitting slope and the first pipeline weld information mean value respectively, and use it as the first weld defect monitoring factor;

[0096] Correspondingly, the curve calculation module is used to determine the second weld fitting point with the first pipeline weld information in the second pipeline weld information set as the ordinate and the acquisition time point as the abscissa, and perform curve fitting based on the determined second weld fitting point to obtain the upper fluctuation information curve;

[0097] Up to this point, the curve calculation module is used to determine the second weld fitting slope corresponding to each second weld fitting point on the upper fluctuation information curve, and calculate the second pipeline weld information mean value of the first pipeline weld information in the second pipeline weld information set;

[0098] Next, the curve calculation module is used to calculate the second product value of each second weld fitting slope and the second pipeline weld information mean value respectively, and use it as the second weld defect monitoring factor;

[0099] Subsequently, the curve calculation module is used to calculate the initial pipeline weld defect value of the weld defect monitoring pipeline based on the first weld defect monitoring factor and the second weld defect monitoring factor.

[0100] In this embodiment, the preset pipeline weld information range includes a first range value and a second range value.

[0101] In this embodiment, as described above, each pipeline weld information corresponds to a different acquisition time point. Taking the acquisition time point as the abscissa and the pipeline weld information as the ordinate.

[0102] In this embodiment, the curve fitting method, slope, and determination method of the mean value will not be introduced repeatedly.

[0103] The beneficial effects of the above technical solution are: This application calculates the initial pipeline weld defect value of the weld defect monitoring pipeline based on the first weld defect monitoring factor and the second weld defect monitoring factor. Calculating based on different data sets ensures the comprehensiveness of the calculation of the first weld defect monitoring factor and the second weld defect monitoring factor, and at the same time ensures the calculation accuracy of the initial pipeline weld defect value, avoiding calculation errors, and providing a basis for the monitoring of the weld defect monitoring pipeline.

[0104] In some embodiments of the present application, the curve calculation module is specifically used for:

[0105] The curve calculation module is used to randomly combine the first weld defect monitoring factor and the second weld defect monitoring factor in pairs to obtain multiple weld defect monitoring factor groups;

[0106] Calculate the initial pipeline weld defect value of the weld defect monitoring pipeline according to the following formula:

[0107]

[0108] Among them, q is the initial pipeline weld defect value of the weld defect monitoring pipeline, m is the number of weld defect monitoring factor groups, g f is the first weld defect monitoring factor in the fth weld defect monitoring factor group, h fis the second weld defect monitoring factor in the fth weld defect monitoring factor group, m1 is the number of the first weld defect monitoring factors, m2 is the number of the second weld defect monitoring factors, y e is the e-th first weld defect monitoring factor, t r is the rth second weld defect monitoring factor.

[0109] In this embodiment, if there is an uncombined first weld defect monitoring factor or a second weld defect monitoring factor, the uncombined first weld defect monitoring factor or the second weld defect monitoring factor is deleted.

[0110] In some embodiments of the present application, the second pipeline weld information includes a pipeline weld temperature parameter; and the value setting module is specifically used for:

[0111] The numerical setting module is used to determine the first pipeline weld temperature parameter and the second pipeline weld temperature parameter of the time node, wherein the first pipeline weld temperature parameter is the pipeline weld temperature parameter corresponding to the end time of the time node, and the second pipeline weld temperature parameter is the pipeline weld temperature parameter difference between the pipeline weld temperature parameters corresponding to the start time and the end time of the time node;

[0112] The numerical setting module is used to determine the pipeline weld temperature parameter change value of the time node according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, wherein the pipeline weld temperature parameter change value is the sum of the first pipeline weld temperature parameter and the second pipeline weld temperature parameter.

[0113] In this embodiment, when the initial pipeline weld defect value is calculated, a time node (i.e., time period) is set, and the time node includes an initial time and an end time, wherein the initial time is the first second after the initial pipeline weld defect value is calculated, and the end time is the tenth second.

[0114] The beneficial effect of the above technical solution is that the present application can determine the change value of the pipeline weld temperature parameter at a time node according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, thereby further providing a basis for weld defect monitoring of the weld defect monitoring pipeline.

[0115] In some embodiments of the present application, the second pipeline weld information further includes pipeline weld vibration parameters, and the numerical setting module is specifically used to:

[0116] The numerical setting module is used to determine the first pipeline weld vibration parameter and the second pipeline weld vibration parameter of the time node, wherein the first pipeline weld vibration parameter is the pipeline weld vibration parameter corresponding to the end time of the time node, and the second pipeline weld vibration parameter is the pipeline weld vibration parameter difference between the pipeline weld vibration parameters corresponding to the start time and the end time of the time node;

[0117] The numerical setting module is used to determine the pipeline weld vibration parameter change value of the time node according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, wherein the pipeline weld vibration parameter change value is the sum of the first pipeline weld vibration parameter and the second pipeline weld vibration parameter.

[0118] The beneficial effect of the above technical solution is that the present application can determine the pipeline weld vibration parameter change value at a time node according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, thereby further providing another basis for weld defect monitoring of the weld defect monitoring pipeline.

[0119] In some embodiments of the present application, the value setting module is used to:

[0120] The numerical setting module is used to calculate the comprehensive parameter change value of the time node according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value;

[0121] u=p1×a1+p2×a2;

[0122] Among them, u is the comprehensive parameter change value of the time node, p1 is the pipeline weld temperature parameter change value, p2 is the pipeline weld vibration parameter change value, a1 is the first calculation coefficient, a2 is the second calculation coefficient, a1+a2=1, and a1>a2.

[0123] The beneficial effect of the above technical solution is: the application calculates the comprehensive parameter change value of the time node according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value, and integrates and analyzes the pipeline weld temperature parameter and the pipeline weld vibration parameter, which can ensure the comprehensiveness and accuracy of the weld defect monitoring pipeline, reduce the labor intensity and cost of manual monitoring, and improve work efficiency.

[0124] In some embodiments of the present application, the value setting module is used to:

[0125] The value setting module is used to set a first preset comprehensive parameter change value and a second preset comprehensive parameter change value.

[0126] In this embodiment, the first preset comprehensive parameter change value is preferably 15, and the second preset comprehensive parameter change value is preferably 20, which can be adjusted according to actual conditions.

[0127] The value setting module is used to set a first preset adjustment value, a second preset adjustment value and a third preset adjustment value.

[0128] Among them, the third preset adjustment value is greater than the second preset adjustment value and greater than the first preset adjustment value.

[0129] In this embodiment, the first preset adjustment value is preferably 0.95, the second preset adjustment value is preferably 1.15, and the third preset adjustment value is preferably 1.25.

[0130] The value setting module is used for selecting the first preset adjustment value as the adjustment value of the initial pipeline weld defect value when the comprehensive parameter change value is less than the first preset comprehensive parameter change value;

[0131] The value setting module is used for selecting the second preset adjustment value as the adjustment value of the initial pipeline weld defect value when the comprehensive parameter change value is greater than or equal to the first preset comprehensive parameter change value and less than the second preset comprehensive parameter change value;

[0132] The value setting module is used to select the third preset adjustment value as the adjustment value of the initial pipeline weld defect value when the comprehensive parameter change value is greater than or equal to the second preset comprehensive parameter change value.

[0133] The beneficial effect of the above technical solution is: the present application selects the corresponding preset adjustment value according to the comprehensive parameter change value, the first preset comprehensive parameter change value and the second preset comprehensive parameter change value, thereby realizing dynamic adjustment of the initial pipeline weld defect value and avoiding calculation errors.

[0134] In some embodiments of the present application, the weld monitoring module is specifically used for:

[0135] The weld monitoring module is used to calculate the product value of the adjustment value and the initial pipeline weld defect value, and use it as the pipeline weld defect value of the weld defect monitoring pipeline.

[0136] In some embodiments of the present application, the weld monitoring module is specifically used for:

[0137] The weld monitoring module is used to determine whether there is a pipeline weld defect in the weld defect monitoring pipeline based on the relationship between the pipeline weld defect value and the preset pipeline weld defect value, that is:

[0138] When the pipeline weld defect value is less than the preset pipeline weld defect value, it is judged that there is no pipeline weld defect in the weld defect monitoring pipeline;

[0139] When the pipeline weld defect value is greater than or equal to the preset pipeline weld defect value, it is judged that the weld defect monitoring pipeline has a pipeline weld defect, and an alarm reminder is issued in real time.

[0140] In this embodiment, the preset pipeline weld defect value is preferably 0.8, and can be adjusted according to actual conditions.

[0141] The beneficial effects of the above technical solution are: achieving all-weather, all-round online monitoring of pipeline welds, improving the timeliness and accuracy of monitoring, ensuring the accuracy and efficiency of weld defect judgment through pipeline weld defect values ​​and preset pipeline weld defect values, without the need for worker participation, and reducing monitoring errors and subjectivity.

[0142] In some embodiments, Figure 2 As shown, the embodiment of the present application also provides a pipeline weld monitoring method based on a wireless passive sensor, which is applied to the above Figure 1 The pipeline weld monitoring system based on wireless passive sensors includes:

[0143] S201. Collecting first pipeline weld information of a weld defect monitoring pipeline corresponding to a plurality of collection time points based on a preset wireless passive sensor.

[0144] S202: Perform an initial analysis on the weld information of the first pipeline, and generate an initial weld mark for the weld defect monitoring pipeline.

[0145] Among them, the initial weld mark includes the weld defect mark to be determined.

[0146] S203: When the weld defect mark to be determined is extracted, curve fitting is performed on the first pipeline weld information to obtain a pipeline weld information curve.

[0147] S204. Calculate an initial pipeline weld defect value of the weld defect monitoring pipeline based on the pipeline weld information curve.

[0148] S205, collecting second pipeline weld information of the weld defect monitoring pipeline corresponding to the time node based on the wireless passive sensor, and setting an adjustment value of the initial pipeline weld defect value according to the second pipeline weld information.

[0149] S206. Adjust the initial pipeline weld defect value based on the adjustment value to obtain the pipeline weld defect value, and determine whether there is a pipeline weld defect in the weld defect monitoring pipeline according to the pipeline weld defect value.

[0150] Optionally, the initial weld mark also includes a weld defect mark and a weld compliance mark; the weld information of the first pipeline is initially analyzed, and an initial weld mark is generated for the weld defect monitoring pipeline, including:

[0151] Acquire a preset pipeline weld information range corresponding to the first pipeline weld information, wherein the first pipeline weld information includes a pipeline weld pressure parameter;

[0152] If the first pipeline weld information is all within the preset pipeline weld information range, a weld compliance mark is generated for the weld defect monitoring pipeline;

[0153] If the first pipeline weld information is not within the preset pipeline weld information range, a weld defect mark is generated for the weld defect monitoring pipeline;

[0154] If there is a first quantity of first pipeline weld information within the preset pipeline weld information range and a second quantity of first pipeline weld information outside the preset pipeline weld information range, a weld defect monitoring pipeline is generated with a weld defect to be judged mark.

[0155] Optionally, the pipeline weld information curve includes an upper fluctuation information curve and a lower fluctuation information curve; performing curve fitting on the first pipeline weld information to obtain the pipeline weld information curve, including:

[0156] Extracting a first range value and a second range value from the preset pipeline weld information range;

[0157] Classifying the first pipeline weld information less than the first range value into the first pipeline weld information set;

[0158] Classifying the first pipeline weld information greater than the second range value into the second pipeline weld information set;

[0159] Taking the first pipeline weld information in the first pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the first weld fitting points, and performing curve fitting based on the determined first weld fitting points to obtain the lower fluctuation information curve;

[0160] Determining the first weld fitting slope corresponding to each first weld fitting point on the lower fluctuation information curve, and calculating the first pipeline weld information mean of the first pipeline weld information in the first pipeline weld information set;

[0161] Calculating the first product value of each first weld fitting slope and the first pipeline weld information mean respectively, and using it as the first weld defect monitoring factor;

[0162] Taking the first pipeline weld information in the second pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the second weld fitting points, and performing curve fitting based on the determined second weld fitting points to obtain the upper fluctuation information curve;

[0163] Determining the second weld fitting slope corresponding to each second weld fitting point on the upper fluctuation information curve, and calculating the second pipeline weld information mean of the first pipeline weld information in the second pipeline weld information set;

[0164] Calculating the second product value of each second weld fitting slope and the second pipeline weld information mean respectively, and using it as the second weld defect monitoring factor;

[0165] Calculating the initial pipeline weld defect value of the weld defect monitoring pipeline based on the first weld defect monitoring factor and the second weld defect monitoring factor.

[0166] Optionally, calculating an initial pipeline weld defect value of a weld defect monitoring pipeline based on the first weld defect monitoring factor and the second weld defect monitoring factor includes:

[0167] Randomly combining the first weld defect monitoring factor and the second weld defect monitoring factor in pairs to obtain a plurality of weld defect monitoring factor groups;

[0168] The initial pipeline weld defect value of the weld defect monitoring pipeline is calculated according to the following formula:

[0169]

[0170] Among them, q is the initial pipeline weld defect value of the weld defect monitoring pipeline, m is the number of weld defect monitoring factor groups, g f is the first weld defect monitoring factor in the fth weld defect monitoring factor group, h f is the second weld defect monitoring factor in the fth weld defect monitoring factor group, m1 is the number of the first weld defect monitoring factors, m2 is the number of the second weld defect monitoring factors, y e is the e-th first weld defect monitoring factor, t r is the rth second weld defect monitoring factor.

[0171] Optionally, the second pipeline weld information includes pipeline weld temperature parameters; the second pipeline weld information of the pipeline corresponding to the weld defect monitoring time node acquired by the wireless passive sensor includes:

[0172] Determine a first pipeline weld temperature parameter and a second pipeline weld temperature parameter of the time node, wherein the first pipeline weld temperature parameter is the pipeline weld temperature parameter corresponding to the end time of the time node, and the second pipeline weld temperature parameter is the pipeline weld temperature parameter difference between the pipeline weld temperature parameters corresponding to the start time and the end time of the time node;

[0173] The pipeline weld temperature parameter change value of the time node is determined according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, wherein the pipeline weld temperature parameter change value is the sum of the first pipeline weld temperature parameter and the second pipeline weld temperature parameter.

[0174] Optionally, the second pipeline weld information also includes pipeline weld vibration parameters; the second pipeline weld information of the weld defect monitoring pipeline corresponding to the time node collected by the wireless passive sensor includes:

[0175] Determine a first pipeline weld vibration parameter and a second pipeline weld vibration parameter of a time node, wherein the first pipeline weld vibration parameter is a pipeline weld vibration parameter corresponding to the end time of the time node, and the second pipeline weld vibration parameter is a pipeline weld vibration parameter difference between the pipeline weld vibration parameters corresponding to the start time and the end time of the time node;

[0176] The pipeline weld vibration parameter change value of the time node is determined according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, wherein the pipeline weld vibration parameter change value is the sum of the first pipeline weld vibration parameter and the second pipeline weld vibration parameter.

[0177] Optionally, setting an adjustment value of the initial pipeline weld defect value according to the second pipeline weld information includes:

[0178] Calculate the comprehensive parameter change value of the time node according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value;

[0179] u=p1×a1+p2×a2;

[0180] Among them, u is the comprehensive parameter change value of the time node, p1 is the pipeline weld temperature parameter change value, p2 is the pipeline weld vibration parameter change value, a1 is the first calculation coefficient, a2 is the second calculation coefficient, a1+a2=1, and a1>a2.

[0181] When the comprehensive parameter change value is less than the first preset comprehensive parameter change value, the first preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0182] When the comprehensive parameter change value is greater than or equal to the first preset comprehensive parameter change value and less than the second preset comprehensive parameter change value, the second preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0183] When the comprehensive parameter change value is greater than or equal to the second preset comprehensive parameter change value, the third preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0184] Among them, the third preset adjustment value is greater than the second preset adjustment value and greater than the first preset adjustment value.

[0185] Optionally, adjusting the initial pipeline weld defect value based on the adjustment value to obtain the pipeline weld defect value includes:

[0186] The product value of the adjustment value and the initial pipeline weld defect value is calculated and used as the pipeline weld defect value of the weld defect monitoring pipeline.

[0187] Optionally, judging whether the weld defect monitoring pipeline has a pipeline weld defect according to the pipeline weld defect value includes:

[0188] When the pipeline weld defect value is less than the preset pipeline weld defect value, it is judged that there is no pipeline weld defect in the weld defect monitoring pipeline;

[0189] When the pipeline weld defect value is greater than or equal to the preset pipeline weld defect value, it is judged that the weld defect monitoring pipeline has a pipeline weld defect, and an alarm reminder is issued in real time.

[0190] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to realize the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel 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 application.

[0191] The embodiment of the present application can divide the functional modules of the pipeline weld monitoring device based on wireless passive sensors according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. Optionally, the division of modules in the embodiment of the present application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0192] like Figure 3 , which is a schematic diagram of the structure of a pipeline weld monitoring device based on a wireless passive sensor provided in an embodiment of the present application. Figure 3 The pipeline weld monitoring device based on wireless passive sensor includes: a communication unit 301 and a processing unit 302;

[0193] The communication unit 301 is used to collect the first pipeline weld information of the weld defect monitoring pipeline corresponding to multiple collection time points based on a preset wireless passive sensor;

[0194] The processing unit 302 is used to perform an initial analysis on the first pipeline weld information and generate an initial weld mark for the weld defect monitoring pipeline, wherein the initial weld mark includes a weld defect mark to be determined;

[0195] The processing unit 302 is further used to perform curve fitting on the first pipeline weld information to obtain a pipeline weld information curve when a weld defect mark to be determined is extracted, and calculate an initial pipeline weld defect value of the weld defect monitoring pipeline based on the pipeline weld information curve;

[0196] The communication unit 301 is also used to collect the second pipeline weld information of the weld defect monitoring pipeline corresponding to the time node based on the wireless passive sensor;

[0197] The processing unit 302 is further used to set an adjustment value of the initial pipeline weld defect value according to the second pipeline weld information;

[0198] The processing unit 302 is further used to adjust the initial pipeline weld defect value based on the adjustment value to obtain the pipeline weld defect value, and determine whether the weld defect monitoring pipeline has a pipeline weld defect according to the pipeline weld defect value.

[0199] Optionally, the initial weld mark also includes a weld defect mark and a weld compliance mark; the processing unit 302 is specifically used to:

[0200] Acquire a preset pipeline weld information range corresponding to the first pipeline weld information, wherein the first pipeline weld information includes a pipeline weld pressure parameter;

[0201] If the first pipeline weld information is all within the preset pipeline weld information range, a weld compliance mark is generated for the weld defect monitoring pipeline;

[0202] If the first pipeline weld information is not within the preset pipeline weld information range, a weld defect mark is generated for the weld defect monitoring pipeline;

[0203] If there is a first quantity of first pipeline weld information within the preset pipeline weld information range, and there is a second quantity of first pipeline weld information outside the preset pipeline weld information range, a weld defect mark to be determined is generated for the weld defect monitoring pipeline.

[0204] Optionally, the pipeline weld information curve includes an upper fluctuation information curve and a lower fluctuation information curve; the processing unit 302 is specifically used to:

[0205] Extracting a first range value and a second range value from a preset pipeline weld information range;

[0206] Classify the first pipeline weld information that is smaller than the first range value into a first pipeline weld information set;

[0207] Classify the first pipeline weld information that is greater than the second range value into the second pipeline weld information set;

[0208] Taking the first pipeline weld information in the first pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the first weld fitting point, performing curve fitting based on the determined first weld fitting point, and obtaining a lower fluctuation information curve;

[0209] Determine the first weld fitting slope corresponding to each first weld fitting point on the lower fluctuation information curve, and calculate the first pipeline weld information mean of the first pipeline weld information in the first pipeline weld information set;

[0210] Calculate the first product value of each first weld fitting slope and the first pipeline weld information mean value respectively, and use it as the first weld defect monitoring factor;

[0211] Taking the first pipeline weld information in the second pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the second weld fitting point, performing curve fitting based on the determined second weld fitting point, and obtaining an upper fluctuation information curve;

[0212] Determine the second weld fitting slope corresponding to each second weld fitting point on the upper fluctuation information curve, and calculate the second pipeline weld information mean of the first pipeline weld information in the second pipeline weld information set;

[0213] Calculate the second product value of each second weld fitting slope and the second pipeline weld information mean value respectively, and use it as the second weld defect monitoring factor;

[0214] An initial pipeline weld defect value of the weld defect monitoring pipeline is calculated based on the first weld defect monitoring factor and the second weld defect monitoring factor.

[0215] Optionally, the processing unit 302 is specifically configured to:

[0216] Randomly combining the first weld defect monitoring factor and the second weld defect monitoring factor in pairs to obtain a plurality of weld defect monitoring factor groups;

[0217] The initial pipeline weld defect value of the weld defect monitoring pipeline is calculated according to the following formula:

[0218]

[0219] Among them, q is the initial pipeline weld defect value of the weld defect monitoring pipeline, m is the number of weld defect monitoring factor groups, g f is the first weld defect monitoring factor in the fth weld defect monitoring factor group, h f is the second weld defect monitoring factor in the fth weld defect monitoring factor group, m1 is the number of the first weld defect monitoring factors, m2 is the number of the second weld defect monitoring factors, y e is the e-th first weld defect monitoring factor, t r is the rth second weld defect monitoring factor.

[0220] Optionally, the second pipeline weld information includes a pipeline weld temperature parameter; the processing unit 302 is specifically configured to:

[0221] Determine a first pipeline weld temperature parameter and a second pipeline weld temperature parameter of the time node, wherein the first pipeline weld temperature parameter is the pipeline weld temperature parameter corresponding to the end time of the time node, and the second pipeline weld temperature parameter is the pipeline weld temperature parameter difference between the pipeline weld temperature parameters corresponding to the start time and the end time of the time node;

[0222] The pipeline weld temperature parameter change value of the time node is determined according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, wherein the pipeline weld temperature parameter change value is the sum of the first pipeline weld temperature parameter and the second pipeline weld temperature parameter.

[0223] Optionally, the second pipeline weld information further includes pipeline weld vibration parameters; the processing unit 302 is specifically configured to:

[0224] Determine a first pipeline weld vibration parameter and a second pipeline weld vibration parameter of a time node, wherein the first pipeline weld vibration parameter is a pipeline weld vibration parameter corresponding to the end time of the time node, and the second pipeline weld vibration parameter is a pipeline weld vibration parameter difference between the pipeline weld vibration parameters corresponding to the start time and the end time of the time node;

[0225] The pipeline weld vibration parameter change value of the time node is determined according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, wherein the pipeline weld vibration parameter change value is the sum of the first pipeline weld vibration parameter and the second pipeline weld vibration parameter.

[0226] Optionally, the processing unit 302 is specifically configured to:

[0227] Calculate the comprehensive parameter change value of the time node according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value;

[0228] u=p1×a1+p2×a2;

[0229] Among them, u is the comprehensive parameter change value of the time node, p1 is the pipeline weld temperature parameter change value, p2 is the pipeline weld vibration parameter change value, a1 is the first calculation coefficient, a2 is the second calculation coefficient, a1+a2=1, and a1>a2.

[0230] Optionally, the processing unit 302 is specifically configured to:

[0231] When the comprehensive parameter change value is less than the first preset comprehensive parameter change value, the first preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0232] When the comprehensive parameter change value is greater than or equal to the first preset comprehensive parameter change value and less than the second preset comprehensive parameter change value, the second preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0233] When the comprehensive parameter change value is greater than or equal to the second preset comprehensive parameter change value, the third preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value;

[0234] Among them, the third preset adjustment value is greater than the second preset adjustment value and greater than the first preset adjustment value.

[0235] Optionally, the processing unit 302 is specifically configured to:

[0236] The product value of the adjustment value and the initial pipeline weld defect value is calculated and used as the pipeline weld defect value of the weld defect monitoring pipeline.

[0237] Optionally, the processing unit 302 is specifically configured to:

[0238] When the pipeline weld defect value is less than the preset pipeline weld defect value, it is judged that there is no pipeline weld defect in the weld defect monitoring pipeline;

[0239] When the pipeline weld defect value is greater than or equal to the preset pipeline weld defect value, it is judged that the weld defect monitoring pipeline has a pipeline weld defect, and an alarm reminder is issued in real time.

[0240] An embodiment of the present application also provides a computer-readable storage medium, which includes computer execution instructions. When the computer execution instructions are executed on a computer, the computer executes the pipeline weld monitoring method based on wireless passive sensors provided in the above embodiment.

[0241] The embodiment of the present application also provides a computer program product, which can be directly loaded into the memory and contains software code. After the computer is loaded and executed, the computer program product can implement the pipeline weld monitoring method based on wireless passive sensors provided in the above embodiment. 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 is described in detail with reference to the preferred embodiments, ordinary technicians in this field should understand that they can still modify or replace the technical solution of the present invention, and these modifications or equivalent replacements cannot make the modified technical solution deviate from the spirit and scope of the technical solution of the present invention.

[0242] 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.

[0243] 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), internal memory, read-only memory (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 pipeline weld monitoring system based on wireless passive sensors, characterized in that: include: An initial analysis module, used for collecting first pipeline weld information of a weld defect monitoring pipeline corresponding to a plurality of collection time points based on a preset wireless passive sensor, performing initial analysis on the first pipeline weld information, and generating an initial weld mark for the weld defect monitoring pipeline, wherein the initial weld mark includes a weld defect mark to be determined; a curve calculation module, configured to perform curve fitting on the first pipeline weld information to obtain a pipeline weld information curve when the weld defect mark to be determined is extracted, and calculate an initial pipeline weld defect value of the weld defect monitoring pipeline based on the pipeline weld information curve; A value setting module, for setting an adjustment value of the initial pipeline weld defect value based on the second pipeline weld information of the weld defect monitoring pipeline corresponding to the wireless passive sensor acquisition time node, and according to the second pipeline weld information; The weld monitoring module is used to adjust the initial pipeline weld defect value based on the adjustment value to obtain the pipeline weld defect value, and judge whether the weld defect monitoring pipeline has a pipeline weld defect according to the pipeline weld defect value.

2. The pipeline weld monitoring system based on wireless passive sensor according to claim 1 is characterized in that: The initial weld mark also includes a weld defect mark and a weld compliance mark; the initial analysis module is specifically used for: Acquire a preset pipeline weld information range corresponding to the first pipeline weld information, wherein the first pipeline weld information includes a pipeline weld pressure parameter; If the first pipeline weld information is all within the preset pipeline weld information range, generating the weld compliance mark for the weld defect monitoring pipeline; If none of the first pipeline weld information is within the preset pipeline weld information range, generating the weld defect mark for the weld defect monitoring pipeline; If there is a first quantity of first pipeline weld information within the preset pipeline weld information range, and there is a second quantity of first pipeline weld information outside the preset pipeline weld information range, the weld defect mark to be determined is generated for the weld defect monitoring pipeline.

3. The pipeline weld monitoring system based on wireless passive sensor according to claim 2 is characterized in that: The pipeline weld information curve includes an upper fluctuation information curve and a lower fluctuation information curve; the curve calculation module is specifically used for: Extracting a first range value and a second range value from the preset pipeline weld information range; Classify the first pipeline weld information whose value is smaller than the first range into a first pipeline weld information set; Classify the first pipeline weld information having a value greater than the second range into a second pipeline weld information set; Taking the first pipeline weld information in the first pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the first weld fitting point, and performing curve fitting based on the determined first weld fitting point to obtain the lower fluctuation information curve; Determine a first weld fitting slope corresponding to each first weld fitting point on the lower fluctuation information curve, and calculate a first pipeline weld information mean of the first pipeline weld information in the first pipeline weld information set; Calculate the first product value of each first weld fitting slope and the first pipeline weld information mean value respectively, and use it as the first weld defect monitoring factor; Taking the first pipeline weld information in the second pipeline weld information set as the ordinate and the acquisition time point as the abscissa, determining the second weld fitting point, and performing curve fitting based on the determined second weld fitting point to obtain the upper fluctuation information curve; Determine a second weld fitting slope corresponding to each second weld fitting point on the upper fluctuation information curve, and calculate a second pipeline weld information mean of the first pipeline weld information in the second pipeline weld information set; Calculating the second product value of each second weld fitting slope and the second pipeline weld information mean value respectively, and using it as the second weld defect monitoring factor; An initial pipeline weld defect value of the weld defect monitoring pipeline is calculated based on the first weld defect monitoring factor and the second weld defect monitoring factor.

4. The pipeline weld monitoring system based on wireless passive sensor according to claim 3 is characterized in that: The curve calculation module is specifically used for: Randomly combining the first weld defect monitoring factor and the second weld defect monitoring factor in pairs to obtain a plurality of weld defect monitoring factor groups; The initial pipeline weld defect value of the weld defect monitoring pipeline is calculated according to the following formula: Wherein, q is the initial pipeline weld defect value of the weld defect monitoring pipeline, m is the number of the weld defect monitoring factor groups, g is f is the first weld defect monitoring factor in the fth weld defect monitoring factor group, h f is the second weld defect monitoring factor in the fth weld defect monitoring factor group, m1 is the number of the first weld defect monitoring factors, m2 is the number of the second weld defect monitoring factors, y e is the e-th first weld defect monitoring factor, t r is the rth second weld defect monitoring factor.

5. The pipeline weld monitoring system based on wireless passive sensor according to claim 1 is characterized in that: The second pipeline weld information includes pipeline weld temperature parameters; the value setting module is specifically used for: Determine a first pipeline weld temperature parameter and a second pipeline weld temperature parameter of a time node, wherein the first pipeline weld temperature parameter is the pipeline weld temperature parameter corresponding to the end time of the time node, and the second pipeline weld temperature parameter is the pipeline weld temperature parameter difference between the pipeline weld temperature parameters corresponding to the start time and the end time of the time node; The pipeline weld temperature parameter change value of the time node is determined according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, wherein the pipeline weld temperature parameter change value is the sum of the first pipeline weld temperature parameter and the second pipeline weld temperature parameter.

6. The pipeline weld monitoring system based on wireless passive sensor according to claim 5 is characterized in that: The second pipeline weld information also includes pipeline weld vibration parameters; the numerical setting module is specifically used for: Determine a first pipeline weld vibration parameter and a second pipeline weld vibration parameter of a time node, wherein the first pipeline weld vibration parameter is a pipeline weld vibration parameter corresponding to the end time of the time node, and the second pipeline weld vibration parameter is a pipeline weld vibration parameter difference between pipeline weld vibration parameters corresponding to the start time and the end time of the time node; The pipeline weld vibration parameter change value at the time node is determined according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, wherein the pipeline weld vibration parameter change value is the sum of the first pipeline weld vibration parameter and the second pipeline weld vibration parameter.

7. The pipeline weld monitoring system based on wireless passive sensor according to claim 6 is characterized in that: The value setting module is specifically used for: Calculate the comprehensive parameter change value of the time node according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value; u=p1×a1+p2×a2; Among them, u is the comprehensive parameter change value of the time node, p1 is the temperature parameter change value of the pipeline weld, p2 is the vibration parameter change value of the pipeline weld, a1 is the first calculation coefficient, a2 is the second calculation coefficient, a1+a2=1, and a1>a2.

8. The pipeline weld monitoring system based on wireless passive sensor according to claim 7 is characterized in that: The value setting module is specifically used for: When the comprehensive parameter change value is less than the first preset comprehensive parameter change value, the first preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value; When the comprehensive parameter change value is greater than or equal to the first preset comprehensive parameter change value and less than the second preset comprehensive parameter change value, the second preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value; When the comprehensive parameter change value is greater than or equal to the second preset comprehensive parameter change value, a third preset adjustment value is selected as the adjustment value of the initial pipeline weld defect value; Among them, the third preset adjustment value is greater than the second preset adjustment value and greater than the first preset adjustment value.

9. The pipeline weld monitoring system based on wireless passive sensor according to claim 1 is characterized in that: The weld monitoring module is specifically used for: The product value of the adjustment value and the initial pipeline weld defect value is calculated and used as the pipeline weld defect value of the weld defect monitoring pipeline.

10. The pipeline weld monitoring system based on wireless passive sensor according to claim 1, characterized in that: The weld monitoring module is specifically used for: When the pipeline weld defect value is less than the preset pipeline weld defect value, it is determined that there is no pipeline weld defect in the weld defect monitoring pipeline; When the pipeline weld defect value is greater than or equal to the preset pipeline weld defect value, it is determined that the weld defect monitoring pipeline has a pipeline weld defect, and an alarm reminder is issued in real time.

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