A wireless passive sensor based pipe weld monitoring system

Abstract

The application relates to the technical field of weld monitoring, and discloses a pipeline weld monitoring system based on a wireless passive sensor, an initial analysis module collects first pipeline weld information corresponding to multiple collection time points based on a wireless passive sensor, and generates an initial weld mark for a weld defect monitoring pipeline; a curve calculation module performs curve fitting on the first pipeline weld information, obtains a pipeline weld information curve, and calculates an initial pipeline weld defect value; a numerical setting module collects second pipeline weld information corresponding to a wireless passive sensor collection time interval, and sets an adjustment value; and a weld monitoring module adjusts the initial pipeline weld defect value based on the adjustment value, obtains a pipeline weld defect value, and judges whether the weld defect monitoring pipeline has a pipeline weld defect. The application collects pipeline weld information in real time based on a wireless passive sensor, guarantees the real-time performance and accuracy of pipeline weld defect monitoring, reduces the labor intensity and cost of manual monitoring, and improves work efficiency.

Description

TECHNICAL FIELD

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

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

[0003] The existing pipeline weld defect monitoring method mainly relies on manual periodic monitoring or active sensors, which has the following problems: 1. Low efficiency of manual monitoring: manual periodic monitoring is time-consuming and labor-intensive, and cannot achieve continuous monitoring. 2. High maintenance cost of active sensors: active sensors require external power supply, which has high maintenance cost, and it is difficult to arrange power supply in some environments. 3. Poor real-time data: manual monitoring and data transmission of active sensors may be delayed, making it difficult to discover weld defects in time. 4. Poor environmental adaptability: in high temperature, high pressure or corrosive environment, active sensors may not work normally. 5. Low monitoring accuracy: traditional methods are difficult to accurately identify the state and potential problems of welds. SUMMARY

[0004] In view of this, the present application proposes a pipeline weld monitoring system based on wireless passive sensors, which can collect pipeline weld information in real time based on wireless passive sensors, analyze 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] The present application proposes a pipeline weld monitoring system based on wireless passive sensors, comprising:

[0006] An initial analysis module is configured to collect first pipeline weld information of a weld defect monitoring pipeline corresponding to a plurality of collection time points based on pre-set wireless passive sensors, 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 to be judged mark;

[0007] A curve calculation module is configured to perform curve fitting on the first pipeline weld information when the weld defect to be judged mark is extracted, 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 numerical setting module is configured to collect second pipeline weld information of the weld defect monitoring pipeline corresponding to a collection time interval based on the wireless passive sensors, and set an adjustment value of the initial pipeline weld defect value according to the second pipeline weld information;

[0009] The weld monitoring module is configured to adjust the initial pipeline weld defect value based on the adjustment value to obtain a pipeline weld defect value, and determine whether the weld defect monitoring pipeline has a pipeline weld defect based on the pipeline weld defect value.

[0010] Optionally, the initial weld mark further comprises a weld defect mark and a weld standard mark; and the initial analysis module is specifically configured to:

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

[0012] if all the first pipeline weld information is within the preset pipeline weld information range, generating a weld standard mark for the weld defect monitoring pipeline;

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

[0014] if there is a first number of first pipeline weld information within the preset pipeline weld information range and a second number of first pipeline weld information outside the preset pipeline weld information range, generating a weld defect mark for the weld defect monitoring pipeline.

[0015] Optionally, the pipeline weld information curve comprises an upper fluctuation information curve and a lower fluctuation information curve; and the curve calculation module is specifically configured to:

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

[0017] classify the first pipeline weld information less than the first range value to a first pipeline weld information set;

[0018] classify the first pipeline weld information greater than the second range value to a second pipeline weld information set;

[0019] determine a first weld fitting point with the first pipeline weld information in the first pipeline weld information set as the vertical coordinate and the collection time point as the horizontal coordinate, perform curve fitting based on the determined first weld fitting point to obtain the lower fluctuation information curve;

[0020] 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;

[0021] respectively calculate a first product value of each first weld fitting slope and the first pipeline weld information mean, and take the first product value as a first weld defect monitoring factor;

[0022] determine a second weld fitting point with the first pipeline weld information in the second pipeline weld information set as the longitudinal coordinate and the collection time point as the horizontal coordinate, perform curve fitting based on the determined second weld fitting point, and obtain an upper fluctuation information curve;

[0023] 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 value of the first pipeline weld information in the second pipeline weld information set;

[0024] respectively calculate a second product value of each second weld fitting slope and the second pipeline weld information mean value, and take the second product value as a second weld defect monitoring factor;

[0025] calculate an 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.

[0026] Optionally, the curve calculation module is specifically configured to:

[0027] randomly combine 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] calculate the initial pipeline weld defect value of the weld defect monitoring pipeline according to the following formula:

[0029]

[0030] 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 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 r th second weld defect monitoring factor.

[0031] Optionally, the second pipeline weld information includes a pipeline weld temperature parameter; and the numerical value setting module is specifically configured to:

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

[0033] The pipeline weld temperature parameter change value of the time interval 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 further comprises a pipeline weld vibration parameter; and the numerical setting module is specifically configured to:

[0035] The first pipeline weld vibration parameter and the second pipeline weld vibration parameter of the time interval are determined, wherein the first pipeline weld vibration parameter is the pipeline weld vibration parameter corresponding to the end time of the time interval, 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 interval;

[0036] The pipeline weld vibration parameter change value of the time interval 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 numerical setting module is specifically configured to:

[0038] The comprehensive parameter change value of the time interval is calculated according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value;

[0039] u = p1 × a1 + p2 × a2;

[0040] wherein u is the comprehensive parameter change value of the time interval, 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 numerical setting module is specifically configured to:

[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] wherein the third preset adjustment value is greater than the second preset adjustment value, and the second preset adjustment value is greater than the first preset adjustment value.

[0046] Optionally, the weld monitoring module is specifically configured to:

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

[0048] Optionally, the weld monitoring module is specifically configured to:

[0049] When the pipeline weld defect value is less than the preset pipeline weld defect value, it is determined that the weld defect monitoring pipeline does not have a pipeline weld defect;

[0050] 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 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 the pipeline weld monitoring system based on the wireless passive sensor in any one of the first aspect, and includes the following steps:

[0052] Based on the 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 of the weld defect monitoring pipeline is generated, wherein the initial weld mark includes a weld defect to be judged mark;

[0053] When the weld defect to be judged mark is extracted, curve fitting is performed on the first pipeline weld information to obtain 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] Second pipeline weld information of the weld defect monitoring pipeline corresponding to a wireless passive sensor collection time point is collected, and an 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 a pipeline weld defect value, and whether the weld defect monitoring pipeline has a pipeline weld defect is determined 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, which includes 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 executes the pipeline weld monitoring method based on the wireless passive sensor in the second aspect.

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

[0058] In a fourth aspect, a computer-readable storage medium is provided, and the computer-readable storage medium includes computer-executable instructions that, when executed on a computer, cause the computer to perform the pipeline weld monitoring method based on the wireless passive sensor according to the second aspect.

[0059] In a fifth aspect, a computer program product is also provided, and the computer program product includes computer instructions that, when executed on the pipeline weld monitoring device based on the wireless passive sensor, cause the pipeline weld monitoring device based on the wireless passive sensor to perform the pipeline weld monitoring method based on the wireless passive sensor according to the second aspect.

[0060] It should be noted that the above-mentioned computer instructions can be stored on the computer-readable storage medium in whole or in part. The computer-readable storage medium can be packaged together with the processor of the pipeline weld monitoring device based on the wireless passive sensor, or can 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 do not limit this.

[0061] The second aspect, the third aspect, the fourth aspect, and the fifth aspect in 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 the wireless passive sensor does not constitute a limitation on the device or the function module itself, and in actual implementation, these devices or function modules can appear with other names. For example, the receiving unit can also be referred to as a receiving module, a receiver, and the like. As long as the functions of each device or function module are similar to those of the present application, they belong to the scope of the claims of the present application and equivalent technologies.

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

[0064] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not intended to limit the scope of the present application. Moreover, the same reference numerals are used throughout the same figures. In the drawings:

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

[0066] Figure 2 A flowchart of a pipeline weld monitoring method based on a wireless passive sensor provided by an embodiment of the application;

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

[0068] Exemplary embodiments of the present disclosure will be described in detail with reference to the drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

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

[0070] The initial analysis module is configured to perform initial analysis on the first pipeline weld information based on the first pipeline weld information of the weld defect monitoring pipeline corresponding to the plurality of acquisition time points acquired by the wireless passive sensor in advance, and generate an initial weld mark for the weld defect monitoring pipeline, wherein the initial weld mark comprises a weld defect to be judged mark;

[0071] The curve calculation module is configured to perform curve fitting on the first pipeline weld information when the weld defect to be judged mark 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] The numerical setting module is configured to acquire second pipeline weld information of the weld defect monitoring pipeline corresponding to the acquisition time point of the wireless passive sensor, and set an adjustment value of the initial pipeline weld defect value according to the second pipeline weld information.

[0073] The weld monitoring module is configured to adjust the initial pipeline weld defect value based on the adjustment value, to obtain a pipeline weld defect value, and determine whether the weld defect monitoring pipeline has a pipeline weld defect according to the pipeline weld defect value.

[0074] In the embodiment, the wireless passive sensor is installed: the wireless passive sensor is installed at the key monitoring point of the pipeline weld to ensure that the wireless passive sensor is in close contact with the weld. According to the monitoring requirements, the appropriate model and quantity are selected. The wireless passive sensor is initialized: the newly installed wireless passive sensor is initialized using a handheld reader, the initial information is written and saved to the data management system. Ensure the accuracy and integrity of the wireless passive sensor information, avoid duplication and omission. Data acquisition: use a handheld reader or an online automatic collector (RDC) to periodically or real-time collect wireless passive sensor data. The handheld reader reads the wireless passive sensor data in a non-contact manner, completes the measurement, stores the data and records the waveform, 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 the internal memory. Data transmission: the handheld reader exports the collected data to the computer or server through the USB interface. The online automatic collector (RDC) transmits data to the data management system through the wireless communication module.

[0075] In the embodiment, the acquisition time points are set in advance, such as 1st second, 3rd second, 4th second, 6th second, etc. The specific settings can be made according to the actual situation.

[0076] The beneficial effects of the above technical solutions are: the application collects pipeline weld information in real time based on a wireless passive sensor, ensures the accuracy and integrity of the data, reduces human errors, and further 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 application, the initial weld mark further includes a weld defect mark and a weld standard mark; and the initial analysis module is specifically configured to:

[0078] The initial analysis module is configured 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] Then, the initial analysis module can be configured to generate an initial weld mark for the weld defect monitoring pipeline based on the preset pipeline weld information range, i.e.:

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

[0081] If all 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 pending defect mark is generated for the weld defect monitoring pipeline, i.e. 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 pending defect mark is generated for the weld defect monitoring pipeline.

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

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

[0085] In this embodiment, when the weld standard mark is identified, it is determined that the weld defect monitoring pipeline has no weld defect, when the weld defect mark is identified, it is determined that the weld defect monitoring pipeline has a weld defect, and when the weld pending defect mark is identified, it is necessary to further determine whether the weld defect monitoring pipeline has a weld defect.

[0086] The beneficial effects of the above technical solutions are: according to the first pipeline weld information and the corresponding preset pipeline weld information range, the weld defect monitoring pipeline can be marked with a weld defect mark, a weld standard mark and a weld defect to be judged mark, the preliminary judgment of the weld defect monitoring pipeline is realized, and the initial judgment efficiency is improved.

[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; and the curve calculation module is specifically configured to:

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

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

[0090] The first pipeline weld information less than the first range value is classified into a first pipeline weld information set, and the first pipeline weld information greater than the second range value 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] Then, the curve calculation module is configured to determine a first weld fitting point with the first pipeline weld information in the first pipeline weld information set as the vertical coordinate and the collection time point as the horizontal coordinate, perform curve fitting based on the determined first weld fitting point, and obtain the lower fluctuation information curve.

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

[0095] Then, the curve calculation module is configured to calculate the product value of each first weld fitting slope and the first pipeline weld information mean, respectively, and take it as a first weld defect monitoring factor.

[0096] Correspondingly, the curve calculation module is configured to determine a second weld fitting point with the first pipeline weld information in the second pipeline weld information set as the vertical coordinate and the collection time point as the horizontal coordinate, perform curve fitting based on the determined second weld fitting point, and obtain the upper fluctuation information curve.

[0097] The curve calculation module is configured to determine a second weld fitting slope corresponding to each second weld fitting point on the upper wave fluctuation information curve, and calculate a second pipe weld information mean value of the first pipe weld information in the second pipe weld information set;

[0098] Then, the curve calculation module is configured to calculate a second product value of each second weld fitting slope and the second pipe weld information mean value respectively, and take the second product value as a second weld defect monitoring factor;

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

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

[0101] In the embodiment, as described above, each pipe weld information corresponds to a different acquisition time point, and the acquisition time point is taken as the horizontal coordinate and the pipe weld information is taken as the vertical coordinate.

[0102] In the embodiment, the curve fitting mode, the slope, and the determination mode of the mean value are not repeatedly introduced.

[0103] The beneficial effects of the above technical solutions are that the initial pipe weld defect value of the weld defect monitoring pipe is calculated based on the first weld defect monitoring factor and the second weld defect monitoring factor, different data sets are calculated, the calculation comprehensiveness of the first weld defect monitoring factor and the second weld defect monitoring factor is ensured, the calculation accuracy of the initial pipe weld defect value is ensured, calculation errors are avoided, and a basis is provided for the monitoring of the weld defect monitoring pipe.

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

[0105] The curve calculation module is configured to randomly combine 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;

[0106] The initial pipe weld defect value of the weld defect monitoring pipe is calculated according to the following formula:

[0107]

[0108] wherein q is the initial pipe weld defect value of the weld defect monitoring pipe, m is the number of the 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 r th second weld defect monitoring factor.

[0109] In the embodiment, if there is a first weld defect monitoring factor or a second weld defect monitoring factor that is not combined, the first weld defect monitoring factor or the second weld defect monitoring factor that is not combined is deleted.

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

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

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

[0113] In the embodiment, when the initial pipeline weld defect value is calculated, a time interval (i.e., a time period) is set, and the time interval includes an initial time and an end time, wherein the initial time is the 1st second after the initial pipeline weld defect value is calculated, and the end time is the 10th second.

[0114] The beneficial effects of the above technical solutions are that the present application can determine a pipeline weld temperature parameter change value of the time interval according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, and further provide 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 a pipeline weld vibration parameter, and the numerical setting module is specifically configured to:

[0116] The numerical setting module is configured to determine a first pipeline weld vibration parameter and a second pipeline weld vibration parameter of the time interval, wherein the first pipeline weld vibration parameter is a pipeline weld vibration parameter corresponding to the end time of the time interval, 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 interval;

[0117] The numerical setting module is configured to determine a pipe weld vibration parameter change value of the time interval according to the first pipe weld vibration parameter and the second pipe weld vibration parameter, wherein the pipe weld vibration parameter change value is a sum of the first pipe weld vibration parameter and the second pipe weld vibration parameter.

[0118] The technical scheme has the beneficial effects that the pipe weld vibration parameter change value of the time interval can be determined according to the first pipe weld vibration parameter and the second pipe weld vibration parameter, and another aspect basis for weld defect monitoring of the pipe is further provided for weld defect monitoring of the pipe.

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

[0120] The numerical setting module is configured to calculate a comprehensive parameter change value of the time interval according to the pipe weld temperature parameter change value and the pipe weld vibration parameter change value.

[0121] u = p1 x a1 + p2 x a2;

[0122] Wherein, u is the comprehensive parameter change value of the time interval, p1 is the pipe weld temperature parameter change value, p2 is the pipe 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 technical scheme has the beneficial effects that the comprehensive parameter change value of the time interval is calculated according to the pipe weld temperature parameter change value and the pipe weld vibration parameter change value, the pipe weld temperature parameter and the pipe weld vibration parameter are integrated and analyzed, the monitoring comprehensiveness and accuracy of the weld defect monitoring pipe can be ensured, the labor intensity and cost of manual monitoring can be reduced, and the work efficiency can be improved.

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

[0125] The numerical setting module is configured 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 also be adjusted according to actual conditions.

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

[0128] Wherein, the third preset adjustment value is greater than the second preset adjustment value, and the second preset adjustment value is 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 numerical setting module is configured to select 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 numerical setting module is configured to select 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 numerical setting module is configured 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 effects of the above technical solutions are that the corresponding preset adjustment value is selected according to the comprehensive parameter change value, the first preset comprehensive parameter change value, and the second preset comprehensive parameter change value, the dynamic adjustment of the initial pipeline weld defect value is realized, and the calculation error is avoided.

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

[0135] The weld monitoring module is configured to calculate the product value of the adjustment value and the initial pipeline weld defect value, and use the product value 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 configured to:

[0137] The weld monitoring module is configured to determine whether the weld defect monitoring pipeline has a pipeline weld defect according to 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 determined that the weld defect monitoring pipeline does not have a pipeline weld defect.

[0139] 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 is issued in real time.

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

[0141] The beneficial effects of the above technical solutions are that the all-weather and all-directional online monitoring of the pipeline weld is realized, the timeliness and accuracy of the monitoring are improved, the judgment accuracy and efficiency of the weld defect are ensured through the pipeline weld defect value and the preset pipeline weld defect value, the workers are not required to participate, and the monitoring error and subjectivity are reduced.

[0142] In some embodiments, as shown in Figure 2 The embodiments of the present application also provide a pipeline weld monitoring method based on a wireless passive sensor, applied to the pipeline weld monitoring system based on a wireless passive sensor in the above Figure 1 The pipeline weld monitoring method based on a wireless passive sensor comprises the following steps.

[0143] S201, collecting first pipeline weld information of a weld defect monitoring pipeline at a plurality of collection time points based on a pre-set wireless passive sensor.

[0144] S202, performing initial analysis on the first pipeline weld information, and generating initial weld marks for the weld defect monitoring pipeline.

[0145] The initial weld marks comprise weld defect to be judged marks.

[0146] S203, when the weld defect to be judged marks are extracted, performing curve fitting on the first pipeline weld information to obtain pipeline weld information curves.

[0147] S204, calculating initial pipeline weld defect values of the weld defect monitoring pipeline based on the pipeline weld information curves.

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

[0149] S206, adjusting the initial pipeline weld defect values based on the adjustment value to obtain pipeline weld defect values, and judging whether the weld defect monitoring pipeline has pipeline weld defects according to the pipeline weld defect values.

[0150] Optionally, the initial weld marks further comprise weld defect marks and weld standard mark; performing initial analysis on the first pipeline weld information, and generating initial weld marks for the weld defect monitoring pipeline, comprises:

[0151] acquiring a pre-set pipeline weld information range corresponding to the first pipeline weld information, wherein the first pipeline weld information comprises pipeline weld pressure parameters;

[0152] if the first pipeline weld information is all within the pre-set pipeline weld information range, generating weld standard marks for the weld defect monitoring pipeline;

[0153] if the first pipeline weld information is all not within the pre-set pipeline weld information range, generating weld defect marks for the weld defect monitoring pipeline;

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

[0155] Optionally, the pipeline weld information curve comprises an upper fluctuation information curve and a lower fluctuation information curve; the first pipeline weld information is curve fitted to obtain the pipeline weld information curve, comprising:

[0156] The first range value and the second range value are extracted from the preset pipeline weld information range;

[0157] The first pipeline weld information less than the first range value is classified into a first pipeline weld information set;

[0158] The first pipeline weld information greater than the second range value is classified into a second pipeline weld information set;

[0159] The first pipeline weld information in the first pipeline weld information set is taken as the ordinate, and the collection time point is taken as the abscissa to determine a first weld fitting point, and the lower fluctuation information curve is obtained based on the determined first weld fitting point;

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

[0161] The first product value of each first weld fitting slope and the first pipeline weld information mean is calculated respectively and taken as a first weld defect monitoring factor;

[0162] The first pipeline weld information in the second pipeline weld information set is taken as the ordinate, and the collection time point is taken as the abscissa to determine a second weld fitting point, and the upper fluctuation information curve is obtained based on the determined second weld fitting point;

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

[0164] The second product value of each second weld fitting slope and the second pipeline weld information mean is calculated respectively and taken as a second weld defect monitoring factor;

[0165] The 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.

[0166] Optionally, the 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, including:

[0167] randomly combining the first weld defect monitoring factor and the second weld defect monitoring factor in twos 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] 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 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 r th second weld defect monitoring factor.

[0171] Optionally, the second pipeline weld information includes a pipeline weld temperature parameter; the second pipeline weld information of the weld defect monitoring pipeline corresponding to the wireless passive sensor collection time section includes:

[0172] determining the first pipeline weld temperature parameter and the second pipeline weld temperature parameter of the time section, wherein the first pipeline weld temperature parameter is the pipeline weld temperature parameter corresponding to the end time of the time section, 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 section;

[0173] determining the pipeline weld temperature parameter change value of the time section 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 further includes a pipeline weld vibration parameter; the second pipeline weld information of the weld defect monitoring pipeline corresponding to the wireless passive sensor collection time section includes:

[0175] determining the first pipeline weld vibration parameter and the second pipeline weld vibration parameter of the time section, wherein the first pipeline weld vibration parameter is the pipeline weld vibration parameter corresponding to the end time of the time section, 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 section;

[0176] determining a pipe weld vibration parameter change value of the time section according to the first pipe weld vibration parameter and the second pipe weld vibration parameter, wherein the pipe weld vibration parameter change value is a sum of the first pipe weld vibration parameter and the second pipe weld vibration parameter.

[0177] Optionally, the adjustment value of the initial pipe weld defect value is set according to the second pipe weld information, comprising:

[0178] calculating a comprehensive parameter change value of the time section according to the pipe weld temperature parameter change value and the pipe weld vibration parameter change value;

[0179] u = p1 × a1 + p2 × a2;

[0180] wherein u is the comprehensive parameter change value of the time section, p1 is the pipe weld temperature parameter change value, p2 is the pipe 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 a first preset comprehensive parameter change value, then selecting a first preset adjustment value as the adjustment value of the initial pipe 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 a second preset comprehensive parameter change value, then selecting a second preset adjustment value as the adjustment value of the initial pipe weld defect value;

[0183] when the comprehensive parameter change value is greater than or equal to the second preset comprehensive parameter change value, then selecting a third preset adjustment value as the adjustment value of the initial pipe weld defect value;

[0184] wherein the third preset adjustment value is greater than the second preset adjustment value which is greater than the first preset adjustment value.

[0185] Optionally, the initial pipe weld defect value is adjusted based on the adjustment value to obtain a pipe weld defect value, comprising:

[0186] calculating a product value of the adjustment value and the initial pipe weld defect value, and taking the product value as the pipe weld defect value of the weld defect monitoring pipe.

[0187] Optionally, whether the weld defect monitoring pipe has a pipe weld defect is judged according to the pipe weld defect value, comprising:

[0188] when the pipe weld defect value is less than a preset pipe weld defect value, then judging that the weld defect monitoring pipe does not have a pipe weld defect;

[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 is sent in real time.

[0190] The above mainly introduces the scheme provided by the embodiments of the application from the perspective of the method. To implement the above functions, the hardware structure and / or software module corresponding to the execution of each function are included. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the examples described in the embodiments disclosed herein, the application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is implemented in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the application.

[0191] The embodiments of the application can divide the function modules of the pipeline weld monitoring device based on the wireless passive sensor according to the above method examples. For example, each function module can be divided according to each function, or two or more functions can be integrated in one processing module. The above integrated module can be implemented in the form of hardware or software function module. Optionally, the division of the module in the embodiments of the application is illustrative, and is only a logical function division. When actually implemented, another division method can be used.

[0192] As shown in Figure 3 FIG. 1 is a structural schematic diagram of a pipeline weld monitoring device based on a wireless passive sensor provided by an embodiment of the application. Figure 3 As shown in FIG. 1, the pipeline weld monitoring device based on the wireless passive sensor includes a communication unit 301 and a processing unit 302.

[0193] The communication unit 301 is configured to acquire first pipeline weld information of the weld defect monitoring pipeline at a plurality of acquisition time points based on a preset wireless passive sensor.

[0194] The processing unit 302 is configured to perform initial analysis on the first pipeline weld information and generate an initial weld mark for the weld defect monitoring pipeline, where the initial weld mark includes a weld defect to be judged mark.

[0195] The processing unit 302 is further configured to, when the weld defect to be judged mark is extracted, perform curve fitting on the first pipeline weld information to obtain a pipeline weld information curve, 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 further configured to acquire second pipeline weld information of the weld defect monitoring pipeline corresponding to the acquisition time of the wireless passive sensor.

[0197] The processing unit 302 is further configured 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 configured to adjust the initial pipeline weld defect value based on the adjustment value to obtain a 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 further includes a weld defect mark and a weld standard mark; and the processing unit 302 is specifically configured 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 all the first pipeline weld information is within the preset pipeline weld information range, generating a weld standard mark for the weld defect monitoring pipeline;

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

[0203] if there is a first number of first pipeline weld information within the preset pipeline weld information range and a second number of first pipeline weld information outside the preset pipeline weld information range, generating a weld defect mark 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; and the processing unit 302 is specifically configured to:

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

[0206] classify the first pipeline weld information less than the first range value to a first pipeline weld information set;

[0207] classify the first pipeline weld information greater than the second range value to a second pipeline weld information set;

[0208] determine a first weld fitting point with the first pipeline weld information in the first pipeline weld information set as the vertical coordinate and the acquisition time point as the horizontal coordinate, perform curve fitting based on the determined first weld fitting point to obtain the lower fluctuation information curve;

[0209] 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;

[0210] respectively calculate a first product value of each first weld fitting slope and a first pipeline weld information mean value, and take the first product value as a first weld defect monitoring factor;

[0211] take the first pipeline weld information in the second pipeline weld information set as the ordinate, and take the collection time point as the abscissa to determine a second weld fitting point, perform curve fitting based on the determined second weld fitting point to obtain an upper fluctuation information curve;

[0212] 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 value of the first pipeline weld information in the second pipeline weld information set;

[0213] respectively calculate a second product value of each second weld fitting slope and the second pipeline weld information mean value, and take the second product value as a second weld defect monitoring factor;

[0214] calculate an 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.

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

[0216] randomly combine 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] calculate the initial pipeline weld defect value of the weld defect monitoring pipeline according to the following formula:

[0218]

[0219] 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 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 r th second weld defect monitoring factor.

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

[0221] determining a first pipe weld temperature parameter and a second pipe weld temperature parameter of the time section, wherein the first pipe weld temperature parameter is a pipe weld temperature parameter corresponding to an ending moment of the time section, and the second pipe weld temperature parameter is a pipe weld temperature parameter difference between pipe weld temperature parameters corresponding to a starting moment and the ending moment of the time section;

[0222] determining a pipe weld temperature parameter change value of the time section according to the first pipe weld temperature parameter and the second pipe weld temperature parameter, wherein the pipe weld temperature parameter change value is a sum of the first pipe weld temperature parameter and the second pipe weld temperature parameter.

[0223] Optionally, the second pipe weld information further comprises a pipe weld vibration parameter; and the processing unit 302 is specifically configured to:

[0224] determining a first pipe weld vibration parameter and a second pipe weld vibration parameter of the time section, wherein the first pipe weld vibration parameter is a pipe weld vibration parameter corresponding to an ending moment of the time section, and the second pipe weld vibration parameter is a pipe weld vibration parameter difference between pipe weld vibration parameters corresponding to a starting moment and the ending moment of the time section;

[0225] determining a pipe weld vibration parameter change value of the time section according to the first pipe weld vibration parameter and the second pipe weld vibration parameter, wherein the pipe weld vibration parameter change value is a sum of the first pipe weld vibration parameter and the second pipe weld vibration parameter.

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

[0227] calculating a comprehensive parameter change value of the time section according to the pipe weld temperature parameter change value and the pipe weld vibration parameter change value;

[0228] u=p1×a1+p2×a2;

[0229] wherein u is the comprehensive parameter change value of the time section, p1 is the pipe weld temperature parameter change value, p2 is the pipe weld vibration parameter change value, a1 is a first calculation coefficient, a2 is a 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 a first preset comprehensive parameter change value, selecting a first preset adjustment value as the adjustment value of the initial pipe 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 a second preset comprehensive parameter change value, selecting a second preset adjustment value as the adjustment value of the initial pipe weld defect value;

[0233] 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;

[0234] The third preset adjustment value is greater than the second preset adjustment value, and the second preset adjustment value is 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 determined that the weld defect monitoring pipeline does not have a pipeline weld defect.

[0239] 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 is sent in real time.

[0240] The embodiment of the application also provides a computer readable storage medium, which includes computer execution instructions. When the computer execution instructions run on the computer, the computer executes the pipeline weld monitoring method based on the wireless passive sensor provided by the above embodiment.

[0241] The embodiment of the application also provides a computer program product, which can be directly loaded into the memory and contains software codes. The computer program product is loaded and executed by the computer, and can realize the pipeline weld monitoring method based on the wireless passive sensor provided by the above embodiment. Finally, it should be pointed out that: the above embodiments are only used to illustrate the technical solutions of the application and not to limit them. Although the application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the application can still be modified or replaced by equivalents, and these modifications or replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the application.

[0242] The system provided by the above embodiments is only exemplified by the division of the above functional modules. In actual application, the above functions can be completed by different functional modules according to needs, that is, the modules or steps in the embodiments of the present application are further decomposed or combined, for example, the modules of the above embodiments can be combined into one module, or can be further split 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 application are only for distinguishing the respective modules and steps, and should not be considered as improper limitation of the present application.

[0243] Those skilled in the art should be able to understand that the modules and method steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware, computer software or a combination of both. The programs corresponding to the software modules and method steps can be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM or any other form of storage medium known in the art. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been described in the above description in general terms. Whether the functions are performed by 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 beyond the scope of the present application.

Claims

1. A wireless passive sensor based pipe weld monitoring system, characterized in that, The method comprises the following steps: An initial analysis module is used to collect first pipeline weld information of a weld defect monitoring pipeline at a plurality of collection time points based on a preset wireless passive sensor, to perform initial analysis on the first pipeline weld information, and to generate an initial weld mark for the weld defect monitoring pipeline, wherein the initial weld mark comprises a weld defect to be judged mark, and a preset pipeline weld information range corresponding to the first pipeline weld information is obtained, wherein the first pipeline weld information comprises a pipeline weld pressure parameter; A curve calculation module is used to perform curve fitting on the first pipeline weld information when the weld defect to be judged mark is extracted, to obtain a pipeline weld information curve, and to calculate an initial pipeline weld defect value of the weld defect monitoring pipeline based on the pipeline weld information curve; A numerical setting module is used to collect second pipeline weld information of the weld defect monitoring pipeline corresponding to a collection time interval based on the wireless passive sensor, and to set an adjustment value of the initial pipeline weld defect value according to the second pipeline weld information, wherein the second pipeline weld information comprises a pipeline weld temperature parameter and a pipeline weld vibration parameter; A weld monitoring module is used to adjust the initial pipeline weld defect value based on the adjustment value, to obtain a pipeline weld defect value, and to judge whether the weld defect monitoring pipeline has a pipeline weld defect according to the pipeline weld defect value; The pipeline weld information curve comprises an upper fluctuation information curve and a lower fluctuation information curve; the curve calculation module is specifically used to: extract a first range value and a second range value from the preset pipeline weld information range; classify first pipeline weld information smaller than the first range value into a first pipeline weld information set; classify first pipeline weld information greater than the second range value into a second pipeline weld information set; determine first weld fitting points with first pipeline weld information in the first pipeline weld information set as the ordinate and collection time points as the abscissa, perform curve fitting based on the determined first weld fitting points, and 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, calculate a first pipeline weld information mean value of first pipeline weld information in the first pipeline weld information set; calculate a first product value of each first weld fitting slope and the first pipeline weld information mean value respectively, and take the first product value as a first weld defect monitoring factor; determine second weld fitting points with first pipeline weld information in the second pipeline weld information set as the ordinate and collection time points as the abscissa, perform curve fitting based on the determined second weld fitting points, and 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, calculate a second pipeline weld information mean value of first pipeline weld information in the second pipeline weld information set; calculate a second product value of each second weld fitting slope and the second pipeline weld information mean value respectively, and take the second product value as a 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.

2. The wireless, passive sensor-based pipe weld monitoring system of claim 1, wherein, The initial weld mark further comprises a weld defect mark and a weld standard mark; and the initial analysis module is specifically configured to: If all the first pipeline weld information is within the preset pipeline weld information range, the weld defect monitoring pipeline is marked with the weld standard mark; If all the first pipeline weld information is not within the preset pipeline weld information range, the weld defect monitoring pipeline is marked with the weld defect mark; If there is a first number of first pipeline weld information within the preset pipeline weld information range and a second number of first pipeline weld information outside the preset pipeline weld information range, the weld defect monitoring pipeline is marked with the weld defect to be judged mark.

3. The wireless, passive sensor-based pipe weld monitoring system of claim 2, wherein, The curve calculation module is specifically configured to: randomly combine 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; An initial pipeline weld defect value of the weld defect monitoring pipeline is calculated according to the following formula: ； wherein q is an initial pipe weld defect value of the weld defect monitoring pipe, m is a number of the weld defect monitoring factor groups, g f is a first weld defect monitoring factor in the fth weld defect monitoring factor group, h f is a second weld defect monitoring factor in the fth weld defect monitoring factor group, m1 is a number of the first weld defect monitoring factors, m2 is a number of the second weld defect monitoring factors, y e is the e th first weld defect monitoring factor, t r is the r th second weld defect monitoring factor.

4. The wireless, passive sensor-based pipe weld monitoring system of claim 1, wherein, The numerical value setting module is specifically configured to: determine a first pipeline weld temperature parameter and a second pipeline weld temperature parameter of a time interval, wherein the first pipeline weld temperature parameter is a pipeline weld temperature parameter corresponding to the end time of the time interval, and the second pipeline weld temperature parameter is a pipeline weld temperature parameter difference value of the pipeline weld temperature parameters corresponding to the start time and the end time of the time interval; determine a pipeline weld temperature parameter change value of the time interval according to the first pipeline weld temperature parameter and the second pipeline weld temperature parameter, wherein the pipeline weld temperature parameter change value is a sum value of the first pipeline weld temperature parameter and the second pipeline weld temperature parameter.

5. The wireless, passive sensor-based pipe weld monitoring system of claim 4, wherein, The numerical value setting module is specifically configured to: determine a first pipeline weld vibration parameter and a second pipeline weld vibration parameter of a time interval, wherein the first pipeline weld vibration parameter is a pipeline weld vibration parameter corresponding to the end time of the time interval, and the second pipeline weld vibration parameter is a pipeline weld vibration parameter difference value of the pipeline weld vibration parameters corresponding to the start time and the end time of the time interval; determine a pipeline weld vibration parameter change value of the time interval according to the first pipeline weld vibration parameter and the second pipeline weld vibration parameter, wherein the pipeline weld vibration parameter change value is a sum value of the first pipeline weld vibration parameter and the second pipeline weld vibration parameter.

6. The wireless, passive sensor-based pipe weld monitoring system of claim 5, wherein, The numerical value setting module is specifically configured to: calculate a comprehensive parameter change value of the time interval according to the pipeline weld temperature parameter change value and the pipeline weld vibration parameter change value; ； wherein u is the comprehensive parameter change value of the time interval, p1 is the pipeline weld temperature parameter change value, p2 is the pipeline weld vibration parameter change value, a1 is a first calculation coefficient, a2 is a second calculation coefficient, a1+a2=1, and a1>a2.

7. The wireless, passive sensor-based pipe weld monitoring system of claim 6, wherein, The numerical value setting module is specifically configured to: When the comprehensive parameter change value is less than a first preset comprehensive parameter change value, a 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 a second preset comprehensive parameter change value, a 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; The third preset adjustment value is greater than the second preset adjustment value, which is greater than the first preset adjustment value.

8. The wireless, passive sensor-based pipe weld monitoring system of claim 1, wherein, The weld monitoring module is specifically used for: calculating the product value of the adjustment value and the initial pipeline weld defect value, and taking the product value as the pipeline weld defect value of the weld defect monitoring pipeline.

9. The wireless, passive sensor-based pipe weld monitoring system of claim 1, wherein, The weld monitoring module is specifically used for: When the pipeline weld defect value is less than a preset pipeline weld defect value, it is determined that the weld defect monitoring pipeline does not have a pipeline weld defect; 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 is issued in real time.

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