Pipeline wall thickness detection system and method based on inductive coupling

Abstract

The invention relates to the technical field of wall thickness detection, and discloses an inductive coupling-based pipeline wall thickness detection system and method.The system comprises a heat conduction support, an inductive coupling patch, a sensor module and a processing module, the processing module can obtain a detection instruction and environmental parameters to determine detection excitation voltage, multiple historical detection results are obtained, and the detection results are sent to the inductive coupling patch; and obtaining a first historical detection deviation coefficient and a second historical detection deviation coefficient so as to obtain a historical comprehensive deviation coefficient. Moreover, a voltage adjusting coefficient can be determined according to a historical comprehensive deviation coefficient to adjust the detection excitation voltage, the adjusted detection excitation voltage is obtained, and a thickness detection value is obtained and compared with a thickness reference value to judge whether to carry out early warning or not. And when early warning is judged to be carried out, the early warning unit determines an early warning level according to the thickness deviation. According to the invention, errors caused by thermal expansion in a mechanical contact method are avoided, and high-precision and high-stability thickness detection in a complex environment is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of wall thickness detection, and in particular, to a pipeline wall thickness detection system and method based on inductive coupling. Background Art

[0002] With the wide application of pipelines in the industrial field, the safety and reliability of pipelines become particularly important. During the long-term operation of pipelines, due to various factors such as thermal expansion and contraction, and environmental changes, the wall thickness of the pipelines will change, and problems such as pipeline rupture and leakage may occur. Therefore, how to monitor the wall thickness change of pipelines in real time to ensure the structural integrity and safety of pipelines is an important problem to be solved urgently in modern industry.

[0003] Currently, most traditional pipeline wall thickness detection methods are mechanical contact methods. This method is often difficult to achieve continuous and stable detection in harsh environments, and has high requirements for the pipeline surface, such as the surface needs to be flat and without obvious corrosion. The mechanical contact method generates errors due to the thermal expansion of the pipeline. In addition, existing detection methods usually ignore the influence of pipeline environmental parameters (such as temperature, humidity, electromagnetic interference, etc.) on the detection results. Thus, it is difficult to ensure the accuracy and stability of the detection results under complex environmental conditions. Summary of the Invention

[0004] In view of this, the present invention proposes a pipeline wall thickness detection system and method based on inductive coupling, aiming to solve the problems of low current pipeline detection accuracy and lack of automated detection.

[0005] In a first aspect, the present invention proposes a pipeline wall thickness detection system based on inductive coupling, including: a collection unit configured to obtain environmental parameters and a mapping table, and determine a detection excitation voltage according to the environmental parameters and the mapping table, where the mapping table includes the mapping relationship between environmental parameters and a preset detection excitation voltage; a processing unit configured to obtain a plurality of historical detection results, and based on the plurality of historical detection results, determine a high deviation detection set, an accurate detection set, and a low deviation detection set; obtain a first historical detection deviation coefficient based on the high deviation detection set, the accurate detection set, and the low deviation detection set, and obtain a second historical detection deviation coefficient according to the plurality of historical detection results; obtain a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient; a determination unit configured to determine a voltage adjustment coefficient according to the historical comprehensive deviation coefficient, and adjust the detection excitation voltage based on the voltage adjustment coefficient to obtain an adjusted detection excitation voltage; collect an electromagnetic signal through an inductive coupling patch based on the adjusted detection excitation voltage, obtain a wall thickness spectrum of the pipeline to be detected according to the electromagnetic signal, and determine a thickness detection value of the pipeline to be detected according to the wall thickness spectrum.

[0006] Further, the processing unit is further configured to: obtain the number of high-deviation detection sets, the number of accurate detection sets, and the number of low-deviation detection sets; obtain a first historical detection deviation coefficient according to the number of high-deviation detection sets, the number of accurate detection sets, and the number of low-deviation detection sets; the first historical detection deviation coefficient is obtained by the following formula:

[0007]

[0008] wherein, C1 is the first historical detection deviation coefficient, p1 is the number of high-deviation detection sets, p2 is the number of accurate detection sets, and p3 is the number of low-deviation detection sets.

[0009] Further, the historical detection results include: historical detection excitation voltage and historical detection thickness value; the processing unit is further configured to:

[0010] Construct a historical detection curve based on multiple historical detection results, where the historical detection curve includes a plurality of nodes, and one node corresponds to one historical detection result; obtain a plurality of first historical detection excitation voltages, a plurality of second historical detection excitation voltages, a plurality of first historical detection thickness values, and a plurality of second historical detection thickness values. The first historical detection excitation voltage is any one of the plurality of historical detection excitation voltages, the second historical detection excitation voltage is any one of the plurality of historical detection excitation voltages other than the first historical detection excitation voltage, the first historical detection thickness value is the historical detection thickness value corresponding to the first historical detection excitation voltage, and the second historical detection thickness value is the historical detection thickness value corresponding to the second historical detection excitation voltage; obtain a plurality of historical detection thickness differences based on the plurality of first historical detection thickness values and the plurality of second historical detection thickness values, where the historical detection thickness difference is the difference between the first historical detection thickness value and the second historical detection thickness value; obtain a first detection thickness threshold and a second detection thickness threshold based on the historical detection curve, and obtain a historical detection thickness range based on the first detection thickness threshold and the second detection thickness threshold. The first detection thickness threshold is the historical detection excitation voltage with the largest excitation voltage among the plurality of historical detection excitation voltages, the second detection thickness threshold is the historical detection excitation voltage with the smallest excitation voltage among the plurality of historical detection excitation voltages, and the historical detection thickness range is the difference between the first detection thickness threshold and the second detection thickness threshold; obtain a plurality of absolute values of historical detection thickness differences based on the plurality of historical detection thickness differences and the historical detection thickness range; obtain a plurality of historical detection excitation voltage differences based on the plurality of first historical detection excitation voltages and the plurality of second historical detection excitation voltages, where the historical detection excitation voltage difference is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage; obtain the first historical detection excitation voltage and the second historical detection excitation voltage based on the historical detection curve, and obtain a historical detection excitation voltage range based on the first historical detection excitation voltage and the second historical detection excitation voltage, where the historical detection excitation voltage range is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage; obtain a plurality of absolute values of historical detection excitation voltage differences based on the plurality of historical detection excitation voltage differences and the historical detection excitation voltage range; obtain a plurality of second sub-historical detection deviation coefficients based on the plurality of absolute values of historical detection thickness differences and the plurality of absolute values of historical detection excitation voltage differences, where the second sub-historical detection deviation coefficient is the product of the absolute value of the historical detection thickness difference and the absolute value of the historical detection excitation voltage difference; obtain a second historical detection deviation coefficient based on the plurality of second sub-historical detection deviation coefficients.

[0011] Further, the processing unit is further configured to: obtain an average value of the second sub-history detection deviation coefficients according to a plurality of second sub-history detection deviation coefficients; based on the average value of the second sub-history detection deviation coefficients, obtain a plurality of low-history detection deviation coefficients and a plurality of high-history detection deviation coefficients, where the low-history detection deviation coefficient is a second sub-history detection deviation coefficient less than or equal to the average value of the second sub-history detection deviation coefficients, and the high-history detection deviation coefficient is a second sub-history detection deviation coefficient greater than the average value of the second sub-history detection deviation coefficients; based on the plurality of low-history detection deviation coefficients and the plurality of high-history detection deviation coefficients, obtain a plurality of history detection deviation coefficient groups, where the history detection deviation coefficient group includes: a preset low deviation coefficient and a preset high deviation coefficient, the preset low deviation coefficient is any one of the plurality of low-history detection deviation coefficients, and the preset high deviation coefficient is any one of the plurality of high-history detection deviation coefficients; based on the plurality of history detection deviation coefficient groups, obtain a second history detection deviation coefficient.

[0012] Further, the second history detection deviation coefficient is obtained by the following formula:

[0013]

[0014] where C2 is the second history detection deviation coefficient, n is the number of history detection deviation coefficient groups, a1i is the i-th preset low deviation coefficient, a2i is the i-th preset high deviation coefficient, ((a1 i -a2 i ) 2 ) min is the minimum value of all (a1 i -a2 i ) 2 , ((a1 i -a2 i ) 2 ) max is the maximum value of all (a1 i -a2 i ) 2 , and s2 is the variance of all (a1 i -a2 i ) 2 .

[0015] Further, the historical comprehensive deviation coefficient is obtained by the following formula:

[0016] C = q1×C1 + q2×C2;

[0017] Wherein, C is the historical comprehensive deviation coefficient, q1 is the first weight, which is used to adjust the first historical detection deviation coefficient, C1 is the first historical detection deviation coefficient, q2 is the second weight, which is used to adjust the second historical detection deviation coefficient, C2 is the second historical detection deviation coefficient, and the difference between the first weight and the second weight is 1, and the first weight is greater than the second weight.

[0018] Furthermore, the voltage regulation coefficient includes: a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient, the first adjustment coefficient is less than the second adjustment coefficient, and the second adjustment coefficient is less than the third adjustment coefficient; the determination unit is further configured to: compare the historical comprehensive deviation coefficient with a first preset deviation coefficient and a second preset deviation coefficient respectively to obtain a comparison result, and the comparison result is used to indicate the magnitude relationship between the historical comprehensive deviation coefficient and the first preset deviation coefficient and the second preset deviation coefficient, and the first preset deviation coefficient is less than the second preset deviation coefficient; when the comparison result is used to indicate that the historical comprehensive deviation coefficient is less than or equal to the first preset deviation coefficient, determine the first adjustment coefficient and adjust the detection excitation voltage based on the first adjustment coefficient; when the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the first preset deviation coefficient and less than or equal to the second preset deviation coefficient, determine the second adjustment coefficient and adjust the detection excitation voltage based on the second adjustment coefficient; when the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the second preset deviation coefficient, determine the third adjustment coefficient and adjust the detection excitation voltage based on the third adjustment coefficient.

[0019] Furthermore, the acquisition unit is further configured to: obtain detection instruction information, and determine whether to detect the pipeline to be detected based on the detection instruction information, and the detection instruction information is used to indicate whether there is a historical detection instruction, and the historical detection instruction is the detection instruction at the previous moment of the current moment; when the detection instruction information is used to indicate that there is no historical detection instruction, determine to detect the pipeline to be detected; when the detection instruction information is used to indicate that there is a historical detection instruction, obtain the trigger time of the historical detection instruction, obtain the time interval between the historical detection instruction and the previous detection instruction according to the trigger time, and determine whether to detect the pipeline to be detected according to the time interval, and the previous detection instruction is the detection instruction at the previous moment of the moment where the historical detection instruction is located; when the time interval is less than the interval threshold, determine that the historical detection instruction is a repeated instruction and do not perform detection; when the time interval is greater than or equal to the interval threshold, detect the pipeline to be detected.

[0020] Further, the pipe wall thickness detection system based on inductive coupling further includes: The determination unit is further configured to: compare the thickness detection value with the thickness reference value of the pipe to be detected to obtain a comparison result, and judge whether to issue a warning instruction according to the comparison result. The warning instruction includes: a thickness increase warning instruction and a thickness decrease warning instruction; when the comparison result is used to indicate that the thickness detection value is greater than the thickness reference value, it is determined to issue a thickness increase warning instruction; when the thickness detection value is less than the thickness reference value, it is determined to issue a thickness decrease warning instruction. A warning unit, configured to when the determination unit issues a warning instruction, the warning unit determines a warning level according to the thickness deviation, where the thickness deviation is the difference between the thickness detection value and the thickness reference value.

[0021] In a second aspect, the present application further provides a pipe wall thickness detection method based on inductive coupling, which is applied to the pipe wall thickness detection system based on inductive coupling as described above, and includes: obtaining environmental parameters and a mapping table, and determining a detection excitation voltage according to the environmental parameters and the mapping table. The mapping table includes the mapping relationship between the environmental parameters and the preset detection excitation voltage; obtaining multiple historical detection results, and based on the multiple historical detection results, determining a high deviation detection set, an accurate detection set, and a low deviation detection set; obtaining a first historical detection deviation coefficient based on the high deviation detection set, the accurate detection set, and the low deviation detection set, and obtaining a second historical detection deviation coefficient according to the multiple historical detection results; obtaining a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient; determining a voltage adjustment coefficient according to the historical comprehensive deviation coefficient, and adjusting the detection excitation voltage based on the voltage adjustment coefficient to obtain an adjusted detection excitation voltage; collecting electromagnetic signals through an inductive coupling patch based on the adjusted detection excitation voltage, obtaining the wall thickness spectrum of the pipe to be detected according to the electromagnetic signals, and determining the thickness detection value of the pipe to be detected according to the wall thickness spectrum.

[0022] In a third aspect, a pipe wall thickness detection device based on inductive coupling is provided, including 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 pipe wall thickness detection device based on inductive coupling runs, the processor executes the computer execution instructions stored in the memory, so that the pipe wall thickness detection device based on inductive coupling executes the pipe wall thickness detection method described in the second aspect.

[0023] The pipe wall thickness detection device based on inductive coupling may be a network device or a part of a device in the network device, such as a chip system in the network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any one of its possible implementation manners. For example, obtaining, determining, and sending the data and / or information involved in the pipe wall thickness detection method based on inductive coupling described above. The chip system includes a chip and may also include other discrete devices or circuit structures.

[0024] In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium includes computer-executable instructions, which, when running on a computer, cause the computer to execute the method for detecting the pipe wall thickness based on inductive coupling described in the second aspect.

[0025] In a fifth aspect, a computer program product is further provided. The computer program product includes computer instructions, which, when running on a pipe wall thickness detection device based on inductive coupling, cause the pipe wall thickness detection device based on inductive coupling to execute the method for detecting the pipe wall thickness based on inductive coupling as described in the second aspect above.

[0026] It should be noted that the above computer instructions can be stored in whole or in part on a computer-readable storage medium. Among them, the computer-readable storage medium can be packaged together with the processor of the pipe wall thickness detection device based on inductive coupling, or can be separately packaged from the processor of the pipe wall thickness detection device based on inductive coupling. The embodiments of the present application do not make any limitations in this regard.

[0027] For the descriptions of the second aspect, the third aspect, the fourth aspect, and the fifth aspect in the present application, reference can be made to the detailed description of the first aspect.

[0028] In the embodiments of the present application, the name of the above pipe wall thickness detection device based on inductive coupling does not limit the device or functional module itself. In actual implementation, these devices or functional modules can appear under other names. For example, the receiving unit can also be called a receiving module, a receiver, etc.

[0029] The present application provides a pipe insulation monitoring system and method through a wireless passive sensor. Compared with the prior art, the beneficial effects of the present invention are as follows: By combining inductive coupling technology with environmental parameter adjustment, the problems in traditional pipe wall thickness detection methods are solved. The inductive coupling patch is combined with the heat conduction bracket to ensure stable detection even in the environment. The heat conduction bracket increases the distance between the inductive coupling patch and the pipe, avoiding interference with the inductive coupling patch. The sensor module collects environmental parameters such as temperature, humidity, and electromagnetic interference in real time, and dynamically adjusts the detection excitation voltage through a mapping table, enabling high precision and high stability to be maintained in a complex environment. The processing module precisely adjusts the excitation voltage based on the historical deviation coefficient through the analysis of historical detection results, thereby optimizing the detection results. By obtaining the wall thickness spectrum through electromagnetic signals and comparing it with a reference value, it is possible to intelligently determine whether to trigger an early warning, timely detect pipe wall thickness deviations, and avoid the occurrence of potential safety hazards. Description of the Drawings

[0030] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the following detailed description of the preferred embodiments. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Also, throughout the drawings, the same reference numerals are used to denote the same components. In the drawings:

[0031] Figure 1 is a structural block diagram of a pipeline wall thickness detection system based on inductive coupling provided by an embodiment of the present invention;

[0032] Figure 2 is a flowchart of a pipeline wall thickness detection method based on inductive coupling provided by an embodiment of the present invention;

[0033] Figure 3 is a structural block diagram of a pipeline wall thickness detection device based on inductive coupling provided by an embodiment of the present invention. Detailed Embodiments

[0034] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the drawings. Although the 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 set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. Hereinafter, the present invention will be described in detail with reference to the drawings and in conjunction with the embodiments.

[0035] In some embodiments of the present application, referring to Figure 1 as shown, a pipeline wall thickness detection system based on inductive coupling includes: a collection unit, a processing unit, and a determination unit. Among them,

[0036] The collection unit is configured to obtain environmental parameters and a mapping table, and determine a detection excitation voltage according to the environmental parameters and the mapping table. The mapping table includes the mapping relationship between the environmental parameters and the preset detection excitation voltage.

[0037] Optionally, the environmental parameters include: environmental temperature, environmental humidity, and electromagnetic interference intensity.

[0038] The processing unit is configured to obtain a plurality of historical detection results, and based on the plurality of historical detection results, determine a high deviation detection set, an accurate detection set, and a low deviation detection set. Obtain a first historical detection deviation coefficient based on the high deviation detection set, the accurate detection set, and the low deviation detection set, and obtain a second historical detection deviation coefficient according to the plurality of historical detection results. Obtain a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient.

[0039] Optionally, a processing unit is configured to analyze multiple historical detection results to obtain an analysis result, where the analysis result is used to indicate the detection difference between the historical detection result and the true wall thickness data. Based on the analysis result, a high-deviation detection record, an accurate detection record, and a low-deviation detection record are obtained. The high-deviation detection record is a historical detection record where the detection difference is greater than a first preset deviation value. The low-deviation detection record is a historical detection record where the detection difference is greater than a second preset deviation value. The accurate detection record is a historical detection record where the detection difference is greater than a third preset deviation value. The first preset deviation value is greater than the second preset deviation value, and the second preset deviation value is greater than the third preset deviation value. A first historical detection deviation coefficient is obtained based on the high-deviation detection record, the accurate detection record, and the low-deviation detection record. A second historical detection deviation coefficient is obtained based on multiple historical detection thickness values and multiple historical detection records. A historical comprehensive deviation coefficient is obtained based on the first historical detection deviation coefficient and the second historical detection deviation coefficient.

[0040] It should be noted that this application places no restrictions on the detection difference. For example, the detection difference can be the thickness difference between the historical detection thickness value and the true thickness value. Another example is that the detection difference can be the voltage difference between the historical detection excitation voltage and the true excitation voltage. Another example is that the detection difference can be the sum of the thickness difference and the voltage difference.

[0041] A determination unit is configured to determine a voltage regulation coefficient according to the historical comprehensive deviation coefficient, and adjust the detection excitation voltage based on the voltage regulation coefficient to obtain an adjusted detection excitation voltage. An electromagnetic signal is collected through inductive coupling patches based on the adjusted detection excitation voltage, and a wall thickness spectrum of the pipeline to be detected is obtained according to the electromagnetic signal, and a thickness detection value of the pipeline to be detected is determined according to the wall thickness spectrum.

[0042] It should be noted that the acquisition unit can obtain a detection instruction and collect environmental parameters. According to these environmental parameters, an appropriate preset detection excitation voltage is determined through a mapping table. The excitation voltage directly affects the detection sensitivity and accuracy of the inductive coupling system. The processing unit analyzes the historical detection data, classifies the detection results according to the deviation, and obtains a high-deviation detection set, an accurate detection set, and a low-deviation detection set. Then, by calculating the historical detection deviation coefficient, a comprehensive historical deviation coefficient is obtained, and then the current detection excitation voltage is dynamically adjusted, which can optimize the detection result. The determination unit performs wall thickness detection on the pipeline based on the adjusted excitation voltage, and obtains a wall thickness spectrum through the electromagnetic signal collected by the inductive coil. The change in the wall thickness will affect the propagation characteristics of the electromagnetic wave, which is manifested as a change in the frequency components of the signal in the frequency response. By using Fourier transform, these change information can be extracted, and thus the wall thickness of the pipeline can be accurately calculated.

[0043] In some embodiments of this application, in combination with Figure 1, the pipeline wall thickness detection system based on inductive coupling further includes: a heat conduction bracket, an inductive coupling patch, a sensor module, and a processing module.

[0044] Among them, one end of the heat conduction bracket is connected to the outer wall of the pipeline to be detected.

[0045] The inductive coupling patch includes an inductance coil, a wiring port, and an AC power supply, and the inductive coupling patch is connected to the other end of the heat conduction bracket.

[0046] The sensor module includes a temperature sensor, a humidity sensor, and an electromagnetic sensor.

[0047] Optionally, the temperature sensor can collect the ambient temperature, the humidity sensor can collect the ambient humidity, and the electromagnetic sensor can collect the electromagnetic interference intensity.

[0048] It should be noted that one end of the heat conduction bracket is connected to the outer wall of the pipeline and extends outward, and the other end is provided with an inductive coupling patch, which avoids the direct contact between the pipeline and the inductive coupling patch and damages the inductance coil. The inductive coupling patch realizes inductive data acquisition through the inductance coil, emits an inductive signal to the pipeline to be detected through the excitation of the AC power supply to the inductance coil, and transmits the collected data to the processing module through the wiring port for data processing. The sensor module includes a temperature sensor, a humidity sensor, and an electromagnetic sensor, which can collect the temperature, humidity, and electromagnetic interference of the pipeline and its surrounding environment in real time. These environmental parameters are for adjusting the excitation voltage, because temperature, humidity, and electromagnetic interference will all affect the detection accuracy.

[0049] The processing module is connected to the inductive coupling patch and the sensor module, and the processing module includes an acquisition unit, a processing unit, a determination unit, and a warning unit.

[0050] The warning unit is configured to, when the determination unit issues a warning instruction, the warning unit determines the warning level according to the thickness deviation, and the thickness deviation is the difference between the thickness detection value and the thickness reference value.

[0051] It should be noted that when the pipeline wall thickness thins, the attenuation of the signal decreases, especially the attenuation of the high-frequency components is smaller, so the overall amplitude of the signal increases. When the pipeline wall thickness thickens, the attenuation of the signal increases. It means that the amplitude of the high-frequency components in the spectrum will decrease significantly, while the low-frequency components maintain a relatively strong signal. The actual thickness of the pipeline is accurately measured by analyzing the wall thickness spectrum. By comparing the detection value with the preset reference thickness, it is judged whether there is a thickness abnormality, and if there is an abnormality, a warning is triggered. When the detection result deviates from the preset standard, the warning unit determines the warning level according to the deviation degree, and timely notifies the maintenance personnel for processing to avoid potential safety risks.

[0052] It can be understood that the early warning mechanism can provide real-time feedback on abnormal conditions of the pipeline wall thickness, effectively avoiding safety accidents caused by problems such as pipeline aging and corrosion. It improves the accuracy and reliability of detection and enhances the adaptability of the system in complex environments.

[0053] Based on the above technical solution, by combining the inductive coupling detection technology and the environmental parameter adjustment mechanism, the defects in traditional wall thickness detection methods are overcome. The non-contact inductive coupling detection method can avoid the problem of errors existing in the mechanical contact method in the environment, and still maintain a high detection accuracy when there is thermal expansion and pipeline surface damage. Moreover, by adjusting the excitation voltage according to real-time environmental parameters, it can ensure that a stable detection effect can still be maintained under large changes in temperature, humidity and electromagnetic interference. And, the historical data analysis and intelligent adjustment mechanism improve the adaptive ability of the system, and further optimize the detection accuracy by dynamically adjusting the excitation voltage.

[0054] In some embodiments of the present application, the processing unit is further configured to:

[0055] Obtain the number of high-deviation detection sets, the number of accurate detection sets, and the number of low-deviation detection sets; obtain the first historical detection deviation coefficient according to the number of high-deviation detection sets, the number of accurate detection sets, and the number of low-deviation detection sets;

[0056] The first historical detection deviation coefficient is obtained by calculating according to Formula 1:

[0057]

[0058] Wherein, C1 is the first historical detection deviation coefficient, p1 is the number of high-deviation detection sets, p2 is the number of accurate detection sets, and p3 is the number of low-deviation detection sets.

[0059] It can be understood that by obtaining the number of high-deviation detection sets, the number of accurate detection sets, and the number of low-deviation detection sets, it is possible to analyze the historical detection results, quantify the deviation situation in historical detections, and calculate the historical detection deviation coefficient based on this. In this way, it can provide a basis for subsequent voltage adjustment. And, the detection process can be dynamically optimized according to the historical deviation situation, better adapting to different detection environments and conditions, avoiding deviations caused by historical detection errors, thereby improving the overall detection accuracy and stability. Further, it can ensure that the excitation voltage adjustment in the detection process is more intelligent and personalized, improving the adaptive ability of the system and the reliability during long-term use.

[0060] In some embodiments of the present application, the processing unit is further configured to:

[0061] Construct a historical detection curve based on multiple historical detection results.

[0062] Among them, the historical detection curve includes multiple nodes, one node corresponding to one historical detection result, and the historical detection result includes: the historical detection excitation voltage and the historical detection thickness value.

[0063] That is to say, the number of nodes is consistent with the number of historical detection results, and each node includes the historical detection excitation voltage and the historical detection thickness value.

[0064] Obtain a plurality of first historical detection excitation voltages, a plurality of second historical detection excitation voltages, a plurality of first historical detection thickness values, and a plurality of second historical detection thickness values.

[0065] Among them, the first historical detection excitation voltage is any one of the plurality of historical detection excitation voltages, the second historical detection excitation voltage is any one of the plurality of historical detection excitation voltages other than the first historical detection excitation voltage, the first historical detection thickness value is the historical detection thickness value corresponding to the first historical detection excitation voltage, and the second historical detection thickness value is the historical detection thickness value corresponding to the second historical detection excitation voltage.

[0066] According to the plurality of first historical detection thickness values and the plurality of second historical detection thickness values, obtain a plurality of historical detection thickness differences, where the historical detection thickness difference is the difference between the first historical detection thickness value and the second historical detection thickness value. Obtain a first detection thickness threshold and a second detection thickness threshold according to the historical detection curve, and obtain a historical detection thickness range according to the first detection thickness threshold and the second detection thickness threshold. The first detection thickness threshold is the historical detection excitation voltage with the largest excitation voltage among the plurality of historical detection excitation voltages, the second detection thickness threshold is the historical detection excitation voltage with the smallest excitation voltage among the plurality of historical detection excitation voltages, and the historical detection thickness range is the difference between the first detection thickness threshold and the second detection thickness threshold. According to the plurality of historical detection thickness differences and the historical detection thickness range, obtain a plurality of absolute values of historical detection thickness differences.

[0067] According to the plurality of first historical detection excitation voltages and the plurality of second historical detection excitation voltages, obtain a plurality of historical detection excitation voltage differences, where the historical detection excitation voltage difference is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage. The processing unit can obtain the first historical detection excitation voltage and the second historical detection excitation voltage according to the historical detection curve, and obtain a historical detection excitation voltage range according to the first historical detection excitation voltage and the second historical detection excitation voltage. The historical detection excitation voltage range is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage. The processing unit can obtain a plurality of absolute values of historical detection excitation voltage differences according to the plurality of historical detection excitation voltage differences and the historical detection excitation voltage range.

[0068] Based on the absolute values of the differences between multiple historical detected thicknesses and the absolute values of the differences between multiple historical detected excitation voltages, multiple second sub-historical detection deviation coefficients are obtained. The second sub-historical detection deviation coefficient is the product between the absolute value of the historical detected thickness difference and the absolute value of the historical detected excitation voltage difference. Based on the multiple second sub-historical detection deviation coefficients, a second historical detection deviation coefficient is obtained.

[0069] It should be noted that a historical detection curve is constructed according to the historical detection results. The curve forms multiple nodes by connecting the excitation voltage and the corresponding thickness value in each historical record. One node corresponds to one historical detection result. Two nodes are randomly extracted, and their corresponding excitation voltages and thickness values are respectively extracted. By calculating the thickness difference (i.e., the historical detected thickness difference) and the excitation voltage difference (i.e., the historical detected excitation voltage difference) corresponding to these two nodes, the relationship between the thickness change and the voltage change can be understood. The maximum detected thickness value, the minimum detected thickness value, the maximum excitation voltage value, and the minimum excitation voltage value are found from the historical detection curve to obtain the historical detected thickness range and the historical detected excitation voltage range. By comparing the historical detected thickness difference, the historical detected voltage difference, the historical detected thickness range, and the historical detected excitation voltage range, their absolute values are calculated. By calculating the product of the absolute value of the historical detected thickness difference and the absolute value of the historical detected excitation voltage difference, the second sub-historical detection deviation coefficient of each pair of nodes is obtained. This coefficient reflects the deviation relationship between the thickness and the excitation voltage and provides a quantitative basis for subsequent voltage adjustment.

[0070] In some embodiments of the present application, the processing unit is further configured to:

[0071] Obtain the mean value of the second sub-historical detection deviation coefficients according to the multiple second sub-historical detection deviation coefficients. Based on the mean value of the second sub-historical detection deviation coefficients, multiple low historical detection deviation coefficients and multiple high historical detection deviation coefficients are obtained. Based on the multiple low historical detection deviation coefficients and the multiple high historical detection deviation coefficients, multiple historical detection deviation coefficient groups are obtained. Based on the multiple historical detection deviation coefficient groups, a second historical detection deviation coefficient is obtained.

[0072] Among them, the low historical detection deviation coefficient is a second sub-historical detection deviation coefficient that is less than or equal to the mean value of the second sub-historical detection deviation coefficients, and the high historical detection deviation coefficient is a second sub-historical detection deviation coefficient that is greater than the mean value of the second sub-historical detection deviation coefficients. The historical detection deviation coefficient group includes: a preset low deviation coefficient and a preset high deviation coefficient. The preset low deviation coefficient is any one of the multiple low historical detection deviation coefficients, and the preset high deviation coefficient is any one of the multiple high historical detection deviation coefficients.

[0073] Optionally, the second historical detection deviation coefficient can satisfy Formula Two.

[0074]

[0075] Wherein, C2 is the second historical detection deviation coefficient, n is the number of historical detection deviation coefficient groups, a1i is the i-th preset low deviation coefficient, a2i is the i-th preset high deviation coefficient, ((a1 i -a2 i ) 2 ) min For all (a1 i -a2 i ) 2 The minimum value in ((a1 i -a2 i ) 2 ) max For all (a1 i -a2 i ) 2 The maximum value among all (a1 i -a2 i ) 2 The variance of .

[0076] It should be noted that the mean of all second-sub-history detection deviation coefficients is further calculated. Deviation coefficients less than or equal to the mean are grouped into the first set, while those greater than the mean are grouped into the second set. The deviation coefficients in these two sets are then randomly combined to generate multiple sub-history detection deviation coefficient arrays, which are ultimately used to calculate the second-history detection deviation coefficient. The final second-history detection deviation coefficient is derived by combining statistics such as the minimum, maximum, and variance of all sub-history detection deviation coefficient arrays.

[0077] It is clear that by analyzing historical test results and employing node difference calculation, random combination, and statistical analysis, factors influencing test accuracy were extracted from the historical data. This system can identify subtle relationships between excitation voltage and thickness variations within complex historical data, quantifying deviations and providing a basis for adjusting the test excitation voltage. By calculating the deviation coefficient for a second historical test, test results can be more accurately predicted and adjusted, thereby improving test accuracy and stability. Furthermore, the introduction of random combination and variance analysis makes the pipeline wall thickness detection system highly adaptable, enabling it to better cope with varying historical data distributions, optimize voltage regulation, and enhance the reliability and adaptability of the pipeline wall thickness detection system.

[0078] In some embodiments of the present application, the historical comprehensive deviation coefficient may satisfy Formula 3.

[0079] C=q1×C1+q2×C2 Formula 3.

[0080] Wherein, C is the historical comprehensive deviation coefficient, q1 is the first weight, the first weight is used to adjust the first historical detection deviation coefficient, C1 is the first historical detection deviation coefficient, q2 is the second weight, the second weight is used to adjust the second historical detection deviation coefficient, C2 is the second historical detection deviation coefficient, and the difference between the first weight and the second weight is 1, and the first weight is greater than the second weight.

[0081] It can be understood that by weighted synthesis of the first historical detection deviation coefficient and the second historical detection deviation coefficient, the comprehensive influence of various deviations in historical detection on the detection accuracy can be accurately evaluated. By introducing a weight mechanism, the deviations from different sources can be adjusted more flexibly to ensure more accurate deviation correction. By adjusting the weights, it has a strong adaptive ability and can optimize the weight settings according to different situations in actual applications, so as to obtain the best deviation correction effect. The reliability, accuracy and flexibility of the system are improved.

[0082] In the embodiments of the present application, the voltage regulation coefficient includes: a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient, the first adjustment coefficient is less than the second adjustment coefficient, and the second adjustment coefficient is less than the third adjustment coefficient.

[0083] In some embodiments of the present application, the determining unit is further configured to:

[0084] Compare the historical comprehensive deviation coefficient with the first preset deviation coefficient and the second preset deviation coefficient respectively to obtain a comparison result, and the comparison result is used to indicate the magnitude relationship between the historical comprehensive deviation coefficient and the first preset deviation coefficient and the second preset deviation coefficient, and the first preset deviation coefficient is less than the second preset deviation coefficient.

[0085] When the comparison result is used to indicate that the historical comprehensive deviation coefficient is less than or equal to the first preset deviation coefficient, determine the first adjustment coefficient and adjust the detection excitation voltage based on the first adjustment coefficient. When the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the first preset deviation coefficient and less than or equal to the second preset deviation coefficient, determine the second adjustment coefficient and adjust the detection excitation voltage based on the second adjustment coefficient. When the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the second preset deviation coefficient, determine the third adjustment coefficient and adjust the detection excitation voltage based on the third adjustment coefficient.

[0086] Optionally, the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are all greater than 1.

[0087] It can be understood that by comparing the historical comprehensive deviation coefficient with the first preset deviation coefficient and the second preset deviation coefficient, the function of detecting the excitation voltage can be dynamically adjusted. According to the comparison result, the detecting excitation voltage is adjusted by the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient under different circumstances, which can flexibly select the adjustment range according to the different degrees of historical deviation, ensuring the accuracy and adaptability of the system in different detection environments. Specifically, when the deviation is small, a smaller adjustment coefficient is adopted; when the deviation is large, appropriate correction can be made through a larger adjustment coefficient to avoid detection errors caused by voltage inadaptability. Through the multi-level adjustment mechanism, the intelligence and adaptability of the entire detection process are improved.

[0088] In some embodiments of the present application, the acquisition unit is further configured to:

[0089] Obtain detection instruction information, and determine whether to detect the pipeline to be detected based on the detection instruction information. The detection instruction information is used to indicate whether there is a historical detection instruction, and the historical detection instruction is the detection instruction at the previous moment of the current moment;

[0090] When the detection instruction information is used to indicate that there is no historical detection instruction, it is determined to detect the pipeline to be detected; when the detection instruction information is used to indicate that there is a historical detection instruction, obtain the triggering moment of the historical detection instruction, obtain the time interval between the historical detection instruction and the previous detection instruction according to the triggering moment, and determine whether to detect the pipeline to be detected according to the time interval. The previous detection instruction is the detection instruction at the previous moment of the moment where the historical detection instruction is located;

[0091] When the time interval is less than the interval threshold, determine that the historical detection instruction is a repeated instruction and do not perform detection; when the time interval is greater than or equal to the interval threshold, detect the pipeline to be detected.

[0092] It should be noted that the present application places no restrictions on the interval threshold, and the interval threshold can be selected according to actual detection needs or the damage speed of the pipeline to be detected. For example, the interval threshold can be 1 second, 15 seconds, 30 seconds, 45 seconds, 60 seconds.

[0093] It can be understood that by introducing the analysis of historical detection instructions and the judgment of time intervals, the intelligence and adaptability of the detection system are enhanced. In this way, repeated detection can be avoided, the system burden is reduced, the use of detection resources is optimized, and the system operation is ensured to be more efficient. Moreover, after setting the interval threshold, timely detection can be carried out according to the actual situation, avoiding missed detection or missed important detection opportunities due to too long a time interval. In this way, while improving the accuracy, efficiency and response speed of detection, the practicability and reliability of pipeline wall thickness monitoring are effectively improved.

[0094] In some embodiments of the present application, the determination unit is further configured to: compare the thickness detection value with the thickness reference value of the pipeline to be detected to obtain a comparison result, and determine whether to issue a warning instruction according to the comparison result. The warning instruction includes: a thickness increase warning instruction and a thickness decrease warning instruction; when the comparison result is used to indicate that the thickness detection value is greater than the thickness reference value, it is determined to issue a thickness increase warning instruction; when the thickness detection value is less than the thickness reference value, it is determined to issue a thickness decrease warning instruction.

[0095] It can be understood that the reference value represents the ideal thickness of the pipeline under normal working conditions, and any deviation from this value may be a signal of potential problems in the pipeline. By comparing the thickness detection value of the pipeline to be detected with the thickness reference value of the pipeline to be detected, the change of the pipeline thickness can be monitored in real time, and it can be judged whether there is an abnormality in the pipeline to be detected.

[0096] For example, when the thickness detection value is greater than the thickness reference value, it means that the wall thickness of the pipeline has increased abnormally, such as the accumulation of corrosion layers, the accumulation of sediments, etc., resulting in an increase in the wall thickness of the pipeline. When the thickness detection value is less than the thickness reference value, it means that the wall thickness of the pipeline has decreased abnormally, and the pipeline is corroded, worn, or there are other factors causing the wall to be weak.

[0097] It can be understood that both the thickness detection value being greater than the thickness reference value and the thickness detection value being less than the thickness reference value will seriously affect the bearing capacity and safety of the pipeline. At this time, making a warning reaction and providing an alarm message can remind the maintenance personnel to check the pipeline status in time and take appropriate measures to avoid more serious safety accidents.

[0098] In this way, by comparing the thickness detection value and the thickness reference value of the pipeline in real time, the abnormal change of the pipeline wall thickness can be identified quickly and accurately, and the warning of thickness increase or decrease can be triggered in time. Through this dynamic monitoring, the system can quickly discover potential problems in the pipeline and give an early warning to prevent safety hazards caused by thickness changes in the pipeline. Especially in pipeline applications, this warning mechanism can help the staff take repair measures before the pipeline is damaged or aged, effectively extend the service life of the pipeline and ensure its safe operation. In addition, the real-time and sensitivity of the warning mechanism provide a strong guarantee for the intelligent management of the pipeline.

[0099] In the above embodiments, by combining inductive coupling technology with environmental parameter adjustment, the problems existing in traditional pipeline wall thickness detection methods are solved. The inductive coupling patch is combined with the heat-conducting bracket to ensure stable detection even in the environment. The heat-conducting bracket increases the distance between the inductive coupling patch and the pipeline, avoiding interference with the inductive coupling patch. The sensor module collects environmental parameters such as temperature, humidity, and electromagnetic interference in real time, and dynamically adjusts the detection excitation voltage through the mapping table, enabling high precision and high stability to be maintained in complex environments. The processing module analyzes the historical detection results and precisely adjusts the excitation voltage based on the historical deviation coefficient, thereby optimizing the detection results. By obtaining the wall thickness spectrum through electromagnetic signals and comparing it with the reference value, it is possible to intelligently determine whether to trigger an early warning, promptly detect pipeline wall thickness deviations, and avoid the occurrence of potential safety hazards.

[0100] In some embodiments, as Figure 2 shown, the embodiments of the present application further provide a method for detecting pipeline wall thickness based on inductive coupling, which is applied to the above Figure 1 inductive coupling-based pipeline wall thickness detection system, including:

[0101] S201. Obtain environmental parameters and a mapping table, and determine the detection excitation voltage according to the environmental parameters and the mapping table.

[0102] Among them, the mapping table includes the mapping relationship between environmental parameters and preset detection excitation voltages.

[0103] Optionally, the environmental parameters include: environmental temperature, environmental humidity, and electromagnetic interference intensity.

[0104] S202. Obtain multiple historical detection results, and based on the multiple historical detection results, determine a high-deviation detection set, an accurate detection set, and a low-deviation detection set.

[0105] S203. Obtain a first historical detection deviation coefficient based on the high-deviation detection set, the accurate detection set, and the low-deviation detection set, and obtain a second historical detection deviation coefficient according to the multiple historical detection results.

[0106] Among them, the first historical detection deviation coefficient satisfies formula one.

[0107] Among them, the second historical detection deviation coefficient satisfies formula two.

[0108] S204. Obtain a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient.

[0109] In some embodiments of the present application, the historical comprehensive deviation coefficient satisfies formula three.

[0110] S205. Determine a voltage regulation coefficient according to the historical comprehensive deviation coefficient, and adjust the detected excitation voltage based on the voltage regulation coefficient to obtain an adjusted detected excitation voltage.

[0111] S206. Collect electromagnetic signals through inductive coupling patches based on the adjusted detected excitation voltage, obtain the wall thickness spectrum of the pipeline to be detected according to the electromagnetic signals, and determine the thickness detection value of the pipeline to be detected according to the wall thickness spectrum.

[0112] In some embodiments of the present application, in the above S203, obtaining the first historical detection deviation coefficient based on the high deviation detection set, the accurate detection set, and the low deviation detection set includes: obtaining the number of the high deviation detection set, the number of the accurate detection set, and the number of the low deviation detection set. Obtain the first historical detection deviation coefficient according to the number of the high deviation detection set, the number of the accurate detection set, and the number of the low deviation detection set.

[0113] In some embodiments of the present application, in the above S203, obtaining the second historical detection deviation coefficient according to multiple historical detection thickness values and multiple historical detection results includes: the processing unit is further configured to: construct a historical detection curve according to multiple historical detection results. Wherein, the historical detection curve includes multiple nodes, one node corresponds to one historical detection result, and the historical detection result includes: the historical detection excitation voltage and the historical detection thickness value.

[0114] After that, multiple first historical detection excitation voltages, multiple second historical detection excitation voltages, multiple first historical detection thickness values, and multiple second historical detection thickness values can be obtained. The first historical detection excitation voltage is any one of the multiple historical detection excitation voltages, the second historical detection excitation voltage is any one of the multiple historical detection excitation voltages other than the first historical detection excitation voltage, the first historical detection thickness value is the historical detection thickness value corresponding to the first historical detection excitation voltage, and the second historical detection thickness value is the historical detection thickness value corresponding to the second historical detection excitation voltage. After that, multiple historical detection thickness differences can be obtained according to the multiple first historical detection thickness values and the multiple second historical detection thickness values, and the historical detection thickness difference is the difference between the first historical detection thickness value and the second historical detection thickness value. After that, a first detection thickness threshold and a second detection thickness threshold can be obtained according to the historical detection curve, and a historical detection thickness range can be obtained according to the first detection thickness threshold and the second detection thickness threshold. The first detection thickness threshold is the historical detection excitation voltage with the largest excitation voltage among the multiple historical detection excitation voltages, the second detection thickness threshold is the historical detection excitation voltage with the smallest excitation voltage among the multiple historical detection excitation voltages, and the historical detection thickness range is the difference between the first detection thickness threshold and the second detection thickness threshold.

[0115] After that, multiple absolute values of historical detection thickness differences can be obtained based on multiple historical detection thickness differences and historical detection thickness ranges. After that, multiple historical detection excitation voltage differences can be obtained based on multiple first historical detection excitation voltages and multiple second historical detection excitation voltages, where the historical detection excitation voltage difference is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage. After that, the first historical detection excitation voltage and the second historical detection excitation voltage can be obtained based on the historical detection curve, and the historical detection excitation voltage range can be obtained based on the first historical detection excitation voltage and the second historical detection excitation voltage, where the historical detection excitation voltage range is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage. After that, multiple absolute values of historical detection excitation voltage differences can be obtained based on multiple historical detection excitation voltage differences and historical detection excitation voltage ranges.

[0116] After that, multiple second sub-historical detection deviation coefficients can be obtained based on multiple absolute values of historical detection thickness differences and multiple absolute values of historical detection excitation voltage differences, where the second sub-historical detection deviation coefficient is the product of the absolute value of the historical detection thickness difference and the absolute value of the historical detection excitation voltage difference. After that, the second historical detection deviation coefficient can be obtained based on multiple second sub-historical detection deviation coefficients.

[0117] In some embodiments of the present application, obtaining the second historical detection deviation coefficient based on multiple second sub-historical detection deviation coefficients includes: obtaining the mean value of the second sub-historical detection deviation coefficients according to multiple second sub-historical detection deviation coefficients. Based on the mean value of the second sub-historical detection deviation coefficients, multiple low historical detection deviation coefficients and multiple high historical detection deviation coefficients are obtained, where the low historical detection deviation coefficient is a second sub-historical detection deviation coefficient less than or equal to the mean value of the second sub-historical detection deviation coefficients, and the high historical detection deviation coefficient is a second sub-historical detection deviation coefficient greater than the mean value of the second sub-historical detection deviation coefficients. Based on multiple low historical detection deviation coefficients and multiple high historical detection deviation coefficients, multiple historical detection deviation coefficient groups are obtained, where the historical detection deviation coefficient group includes: a preset low deviation coefficient and a preset high deviation coefficient, the preset low deviation coefficient is any one of the multiple low historical detection deviation coefficients, and the preset high deviation coefficient is any one of the multiple high historical detection deviation coefficients. Based on multiple historical detection deviation coefficient groups, the second historical detection deviation coefficient is obtained.

[0118] Optionally, the voltage adjustment coefficient includes: a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient, where the first adjustment coefficient is less than the second adjustment coefficient, and the second adjustment coefficient is less than the third adjustment coefficient.

[0119] In some embodiments of the present application, in S208 above, determining a voltage regulation coefficient according to the historical comprehensive deviation coefficient and adjusting the detected excitation voltage based on the voltage regulation coefficient includes: comparing the historical comprehensive deviation coefficient with a first preset deviation coefficient and a second preset deviation coefficient respectively to obtain a comparison result, where the comparison result is used to indicate the magnitude relationship between the historical comprehensive deviation coefficient, the first preset deviation coefficient, and the second preset deviation coefficient, and the first preset deviation coefficient is less than the second preset deviation coefficient. When the comparison result is used to indicate that the historical comprehensive deviation coefficient is less than or equal to the first preset deviation coefficient, determine a first adjustment coefficient and adjust the detected excitation voltage based on the first adjustment coefficient. When the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the first preset deviation coefficient and less than or equal to the second preset deviation coefficient, determine a second adjustment coefficient and adjust the detected excitation voltage based on the second adjustment coefficient. When the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the second preset deviation coefficient, determine a third adjustment coefficient and adjust the detected excitation voltage based on the third adjustment coefficient.

[0120] In some embodiments of the present application, before executing S201, the inductive coupling-based pipeline wall thickness detection method further includes: obtaining detection instruction information, where the detection instruction information is used to indicate whether there is a historical detection instruction, and the historical detection instruction is the detection instruction at the previous moment of the current moment. When the detection instruction information is used to indicate that there is no historical detection instruction, it is determined to perform detection. When the detection instruction information is used to indicate that there is a historical detection instruction, obtain the trigger moment of the historical detection instruction, obtain the time interval between the historical detection instruction and the previous detection instruction according to the trigger moment, and determine whether to detect the pipeline to be detected according to the time interval, where the previous detection instruction is the detection instruction at the previous moment of the moment where the historical detection instruction is located. When the time interval is less than the interval threshold, it is determined that the detection instruction is a repeated instruction and no detection is performed. When the time interval is greater than or equal to the interval threshold, the pipeline to be detected is detected.

[0121] In some embodiments of the present application, after executing S206, the inductive coupling-based pipeline wall thickness detection method further includes: comparing the thickness detection value with the thickness reference value of the pipeline to be detected to obtain a comparison result, and determining whether to issue a warning instruction according to the comparison result. The warning instruction includes: a thickness increase warning instruction and a thickness decrease warning instruction. When the comparison result is used to indicate that the thickness detection value is greater than the thickness reference value, it is determined to issue a thickness increase warning instruction; when the thickness detection value is less than the thickness reference value, it is determined to issue a thickness decrease warning instruction. When a warning instruction is issued, the warning level can be determined according to the thickness deviation, and the thickness deviation is the difference between the thickness detection value and the thickness reference value.

[0122] It can be understood that by combining inductive coupling technology with environmental parameter adjustment, the problems in traditional pipeline wall thickness detection methods are solved. By collecting environmental parameters such as temperature, humidity, and electromagnetic interference in real time, and dynamically adjusting the detection excitation voltage through a mapping table, high precision and high stability can be maintained in a complex environment. By analyzing historical detection results and precisely adjusting the excitation voltage based on the historical deviation coefficient, the detection results can be optimized. By obtaining the wall thickness spectrum from electromagnetic signals and comparing it with a reference value, it is possible to intelligently determine whether to trigger an alarm, timely detect pipeline wall thickness deviation, and avoid potential safety hazards.

[0123] The above mainly introduced the solution provided by the embodiments of the present application from the perspective of the method. To implement the above functions, it includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combining 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 certain 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 technicians 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.

[0124] The embodiments of the present application can divide the functional modules of the pipeline wall thickness detection device based on inductive coupling according to the above method examples. For example, each functional module can be divided corresponding 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 a software functional module. Optionally, the division of modules in the embodiments of the present application is illustrative, only a logical functional division, and there can be other division methods in actual implementation.

[0125] As Figure 3 shown, it is a schematic structural diagram of a pipeline wall thickness detection device based on inductive coupling provided by the embodiments of the present application. Figure 3 The pipeline wall thickness detection device based on inductive coupling shown includes: a collection unit 301, a processing unit 302, and a determination unit 303.

[0126] The collection unit 301 is used to obtain a detection instruction, obtain environmental parameters and a mapping table, and determine a detection excitation voltage according to the environmental parameters and the mapping table. The mapping table includes the mapping relationship between environmental parameters and a preset detection excitation voltage.

[0127] The processing unit 302 is configured to obtain a plurality of historical detection results, and determine a high-deviation detection set, an accurate detection set, and a low-deviation detection set based on the plurality of historical detection results. The processing unit 302 is further configured to obtain a first historical detection deviation coefficient based on the high-deviation detection set, the accurate detection set, and the low-deviation detection set. The processing unit 302 is further configured to obtain a second historical detection deviation coefficient according to the plurality of historical detection results. The processing unit 302 is further configured to obtain a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient.

[0128] The determination unit 303 is configured to determine a voltage regulation coefficient according to the historical comprehensive deviation coefficient, and adjust the detection excitation voltage based on the voltage regulation coefficient to obtain an adjusted detection excitation voltage. The determination unit 303 is further configured to collect an electromagnetic signal through an inductive coupling patch based on the adjusted detection excitation voltage, obtain a wall thickness spectrum of the pipeline to be detected according to the electromagnetic signal, and determine a thickness detection value of the pipeline to be detected according to the wall thickness spectrum.

[0129] The embodiment of the present application further provides a computer-readable storage medium, which includes computer-executable instructions. When the computer-executable instructions run on a computer, the computer is caused to execute the pipeline wall thickness detection method based on inductive coupling provided in the above embodiment.

[0130] The embodiment of the present application further provides a computer program product, which can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program product can implement the pipeline wall thickness detection method based on inductive coupling provided in the above embodiment. Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical solutions of the present invention, and these modifications or equivalent replacements do not make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

[0131] For the system provided in the above embodiment, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention can be further decomposed or combined. For example, the modules in the above embodiment can be combined into one module, or 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 embodiment of the present invention are only used to distinguish each module or step, and are not regarded as an improper limitation of the present invention.

[0132] Those skilled in the art should be able to realize that the modules and method steps of each example described in combination with the embodiments disclosed herein can be implemented 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), internal memory, read-only memory (ROM), electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the technical field. To clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in the form of 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 wall thickness detection system based on inductive coupling, characterized in that, Including: A collection unit configured to obtain environmental parameters and a mapping table, and determine a detection excitation voltage according to the environmental parameters and the mapping table, where the mapping table includes a mapping relationship between environmental parameters and a preset detection excitation voltage; A processing unit configured to obtain a plurality of historical detection results, and determine a high deviation detection set, an accurate detection set, and a low deviation detection set based on the plurality of historical detection results; Obtain a first historical detection deviation coefficient based on the high deviation detection set, the accurate detection set, and the low deviation detection set, and obtain a second historical detection deviation coefficient according to the plurality of historical detection results; obtain a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient; A determination unit configured to determine a voltage adjustment coefficient according to the historical comprehensive deviation coefficient, and adjust the detection excitation voltage based on the voltage adjustment coefficient to obtain an adjusted detection excitation voltage; Collect an electromagnetic signal through inductive coupling patch based on the adjusted detection excitation voltage, obtain a wall thickness spectrum of a pipeline to be detected according to the electromagnetic signal, and determine a thickness detection value of the pipeline to be detected according to the wall thickness spectrum.

2. The pipe wall thickness detection system based on inductive coupling according to claim 1, wherein The processing unit is further configured to: Obtain the number of the high deviation detection set, the number of the accurate detection set, and the number of the low deviation detection set; Obtain the first historical detection deviation coefficient according to the number of the high deviation detection set, the number of the accurate detection set, and the number of the low deviation detection set; The first historical detection deviation coefficient is obtained by the following formula: Where C1 is the first historical detection deviation coefficient, p1 is the number of the high deviation detection set, p2 is the number of the accurate detection set, and p3 is the number of the low deviation detection set.

3. The pipe wall thickness detection system based on inductive coupling according to claim 1 or 2, characterized in that The historical detection results include: a historical detection excitation voltage and a historical detection thickness value; the processing unit is further configured to: Construct a historical detection curve according to the plurality of historical detection results, where the historical detection curve includes a plurality of nodes, and one node corresponds to one historical detection result; Obtain a plurality of first historical detection excitation voltages, a plurality of second historical detection excitation voltages, a plurality of first historical detection thickness values, and a plurality of second historical detection thickness values, where the first historical detection excitation voltage is any one of the plurality of historical detection excitation voltages, the second historical detection excitation voltage is any one of the plurality of historical detection excitation voltages other than the first historical detection excitation voltage, the first historical detection thickness value is the historical detection thickness value corresponding to the first historical detection excitation voltage, and the second historical detection thickness value is the historical detection thickness value corresponding to the second historical detection excitation voltage; Obtain a plurality of historical detection thickness differences according to the plurality of first historical detection thickness values and the plurality of second historical detection thickness values, where the historical detection thickness difference is the difference between the first historical detection thickness value and the second historical detection thickness value; Obtain a first detection thickness threshold and a second detection thickness threshold according to the historical detection curve, and obtain a historical detection thickness range according to the first detection thickness threshold and the second detection thickness threshold. The first detection thickness threshold is the historical detection excitation voltage with the largest excitation voltage among multiple historical detection excitation voltages, the second detection thickness threshold is the historical detection excitation voltage with the smallest excitation voltage among multiple historical detection excitation voltages, and the historical detection thickness range is the difference between the first detection thickness threshold and the second detection thickness threshold; Obtain multiple absolute values of historical detection thickness differences according to the multiple historical detection thickness differences and the historical detection thickness range; Obtain multiple historical detection excitation voltage differences according to multiple first historical detection excitation voltages and multiple second historical detection excitation voltages. The historical detection excitation voltage difference is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage; Obtain a first historical detection excitation voltage and a second historical detection excitation voltage according to the historical detection curve, and obtain a historical detection excitation voltage range according to the first historical detection excitation voltage and the second historical detection excitation voltage. The historical detection excitation voltage range is the difference between the first historical detection excitation voltage and the second historical detection excitation voltage; Obtain multiple absolute values of historical detection excitation voltage differences according to the multiple historical detection excitation voltage differences and the historical detection excitation voltage range; Based on the multiple absolute values of historical detection thickness differences and the multiple absolute values of historical detection excitation voltage differences, obtain multiple second sub-historical detection deviation coefficients. The second sub-historical detection deviation coefficient is the product of the absolute value of the historical detection thickness difference and the absolute value of the historical detection excitation voltage difference; Based on the multiple second sub-historical detection deviation coefficients, obtain the second historical detection deviation coefficient.

4. The pipe wall thickness detection system based on inductive coupling according to claim 3, wherein The processing unit is further configured to: Obtain a second sub-historical detection deviation coefficient mean value according to the multiple second sub-historical detection deviation coefficients; Based on the second sub-historical detection deviation coefficient mean value, obtain multiple low historical detection deviation coefficients and multiple high historical detection deviation coefficients. The low historical detection deviation coefficient is a second sub-historical detection deviation coefficient less than or equal to the second sub-historical detection deviation coefficient mean value, and the high historical detection deviation coefficient is a second sub-historical detection deviation coefficient greater than the second sub-historical detection deviation coefficient mean value; Based on the multiple low historical detection deviation coefficients and the multiple high historical detection deviation coefficients, obtain multiple historical detection deviation coefficient groups. The historical detection deviation coefficient group includes: a preset low deviation coefficient and a preset high deviation coefficient. The preset low deviation coefficient is any one of the multiple low historical detection deviation coefficients, and the preset high deviation coefficient is any one of the multiple high historical detection deviation coefficients; Based on the multiple historical detection deviation coefficient groups, obtain the second historical detection deviation coefficient.

5. The pipeline wall thickness detection system based on inductive coupling according to claim 4, characterized in that, The second historical detection deviation coefficient is obtained by the following formula: Among them, C2 is the second historical detection deviation coefficient, n is the number of the historical detection deviation coefficient groups, a1i is the i-th preset low deviation coefficient, a2i is the i-th preset high deviation coefficient, ((a1 i -a2 i ) 2 ) min is the minimum value among all (a1 i -a2 i ) 2 , ((a1 i -a2 i ) 2 ) max is the maximum value among all (a1 i -a2 i ) 2 , and s2 is the variance of all (a1 i -a2 i ) 2 .

6. The pipe wall thickness detection system based on inductive coupling according to claim 1 or 2, characterized in that The historical comprehensive deviation coefficient is obtained by the following formula: C = q1×C1 + q2×C2; Wherein, C is the historical comprehensive deviation coefficient, q1 is the first weight, the first weight is used to adjust the first historical detection deviation coefficient, C1 is the first historical detection deviation coefficient, q2 is the second weight, the second weight is used to adjust the second historical detection deviation coefficient, C2 is the second historical detection deviation coefficient, and the difference between the first weight and the second weight is 1, and the first weight is greater than the second weight.

7. The pipe wall thickness detection system based on inductive coupling according to claim 1 or 2, characterized in that, The voltage regulation coefficient includes: a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient, and the first adjustment coefficient is less than the second adjustment coefficient, and the second adjustment coefficient is less than the third adjustment coefficient; the determining unit is further configured to: Compare the historical comprehensive deviation coefficient with a first preset deviation coefficient and a second preset deviation coefficient respectively to obtain a comparison result, and the comparison result is used to indicate the magnitude relationship between the historical comprehensive deviation coefficient and the first preset deviation coefficient and the second preset deviation coefficient, and the first preset deviation coefficient is less than the second preset deviation coefficient; When the comparison result is used to indicate that the historical comprehensive deviation coefficient is less than or equal to the first preset deviation coefficient, determine the first adjustment coefficient and adjust the detection excitation voltage based on the first adjustment coefficient; When the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the first preset deviation coefficient and less than or equal to the second preset deviation coefficient, determine the second adjustment coefficient and adjust the detection excitation voltage based on the second adjustment coefficient; When the comparison result is used to indicate that the historical comprehensive deviation coefficient is greater than the second preset deviation coefficient, determine the third adjustment coefficient and adjust the detection excitation voltage based on the third adjustment coefficient.

8. The pipe wall thickness detection system based on inductive coupling according to claim 1 or 2, characterized in that The acquisition unit is further configured to: Obtain detection instruction information, and determine whether to detect the pipeline to be detected based on the detection instruction information. The detection instruction information is used to indicate whether there is a historical detection instruction, and the historical detection instruction is the detection instruction at the previous moment of the current moment; When the detection instruction information is used to indicate that there is no historical detection instruction, it is determined to detect the pipeline to be detected; when the detection instruction information is used to indicate that there is the historical detection instruction, obtain the trigger moment of the historical detection instruction, obtain the time interval between the historical detection instruction and the previous detection instruction according to the trigger moment, and determine whether to detect the pipeline to be detected according to the time interval. The previous detection instruction is the detection instruction at the previous moment of the moment where the historical detection instruction is located; When the time interval is less than the interval threshold, determine that the historical detection instruction is a repeated instruction and do not perform detection; when the time interval is greater than or equal to the interval threshold, detect the pipeline to be detected.

9. The pipe wall thickness detection system based on inductive coupling according to claim 1 or 2, characterized in that, The pipeline wall thickness detection system based on inductive coupling further includes: The determination unit is further configured to: compare the thickness detection value with a thickness reference value of the pipeline to be detected to obtain a comparison result, and determine whether to issue a warning instruction according to the comparison result, where the warning instruction includes: a thickness increase warning instruction and a thickness decrease warning instruction; When the comparison result is used to indicate that the thickness detection value is greater than the thickness reference value, it is determined to issue the thickness increase warning instruction; when the thickness detection value is less than the thickness reference value, it is determined to issue the thickness decrease warning instruction; A warning unit, configured to when the determination unit issues the warning instruction, the warning unit determines a warning level according to a thickness deviation, where the thickness deviation is a difference between the thickness detection value and the thickness reference value.

10. A method for detecting the wall thickness of a pipeline based on inductive coupling, which is applied to the pipeline wall thickness detection system, is characterized in that, The pipeline wall thickness detection method based on inductive coupling includes: Obtaining environmental parameters and a mapping table, and determining a detection excitation voltage according to the environmental parameters and the mapping table, where the mapping table includes a mapping relationship between environmental parameters and a preset detection excitation voltage; Obtaining a plurality of historical detection results, and based on the plurality of historical detection results, determining a high deviation detection set, an accurate detection set, and a low deviation detection set; obtaining a first historical detection deviation coefficient based on the high deviation detection set, the accurate detection set, and the low deviation detection set; obtaining a second historical detection deviation coefficient according to the plurality of historical detection results, and obtaining a historical comprehensive deviation coefficient according to the first historical detection deviation coefficient and the second historical detection deviation coefficient; Determining a voltage adjustment coefficient according to the historical comprehensive deviation coefficient, and adjusting the detection excitation voltage based on the voltage adjustment coefficient to obtain an adjusted detection excitation voltage; collecting an electromagnetic signal through an inductive coupling patch based on the adjusted detection excitation voltage, obtaining a wall thickness spectrum of the pipeline to be detected according to the electromagnetic signal, and determining a thickness detection value of the pipeline to be detected according to the wall thickness spectrum.

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