Dynamic adaptive feature analysis ultrasonic corrosion monitoring method and related device

Abstract

The present invention discloses a dynamic adaptive feature analysis ultrasonic corrosion monitoring method and related devices, which relate to the field of ultrasonic corrosion monitoring. The method comprises: obtaining monitoring data of a monitored object; the monitoring data comprises: the initial wall thickness value of the monitored object at the initial moment, the propagation speed of ultrasonic waves in the monitored object at the current moment, and the corrosion monitoring signal at the current moment; setting a reference baseline remaining wall thickness; determining a reference echo time difference; establishing a multiple echo prediction range sequence; calculating the noise level of the corrosion monitoring signal at the current moment, and extracting an echo characteristic value sequence whose corrosion monitoring signal at the current moment is greater than the noise level of the corrosion monitoring signal at the current moment; determining the sub-wave range of the echo characteristic value sequence; establishing a plurality of effective echo characteristic sequences; calculating the thickness corresponding to each effective echo characteristic sequence, and obtaining all the remaining wall thickness values ​​of the monitored object at the current moment. The present invention can accurately calculate the corrosion depth.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic corrosion monitoring, and in particular to a dynamic adaptive feature analysis ultrasonic corrosion monitoring method and related devices. Background Art

[0002] Corrosion is the most common problem in the process of industrial equipment in service. Under the long-term action of corrosion, the equipment is very likely to produce defects such as corrosion thinning, corrosion cracking, and perforation. This will lead to equipment failure, safety hazards, environmental pollution, huge economic losses to enterprises, and even major safety accidents. However, there are many types of corrosion on industrial equipment materials, and the classification methods are different according to their different properties. According to the form of corrosion damage, it can be divided into two categories: uniform corrosion and local corrosion. Uniform corrosion, also known as comprehensive corrosion, is generally corrosion of the entire exposed surface or a large area. It corrodes uniformly on the entire metal surface, so the material is uniformly thinned, and there is no obvious difference in the corrosion morphology. It is the most common and least harmful form of corrosion. Local corrosion is corrosion on some areas of the metal surface, which occurs rapidly and causes some areas of the material to be quickly destroyed. It is a very common form of corrosion in industrial applications. Because local corrosion is concentrated in certain areas and occurs rapidly, its damage to the material is very rapid and concealed, and it is difficult to predict its location, time, and rate of occurrence. It is very difficult to control and is much more harmful than uniform corrosion. It is very easy to cause sudden disasters.

[0003] In the prior art, in order to solve the problem of in-service or periodic inspection of oil and gas pipelines, the thickness of the pipeline is calculated by using a fast coherent algorithm to determine the degree of corrosion of the pipeline. This technology sets two time windows according to the thickness of the workpiece, so that the primary echo and the secondary echo are respectively in these two time windows; by calculating the correlation coefficient of the waveform in the two time windows, the most similar starting position of the primary echo and the secondary echo is obtained, thereby obtaining their thickness. This method mainly searches for the primary bottom wave and the secondary bottom wave according to the thickness of the workpiece, and extracts the amplitude values ​​of the three positions of the echo peak, peak valley and zero crossing as characteristic values ​​for correlation calculation, and the starting position is the zero crossing point of the waveform; then the starting position with the largest correlation coefficient is obtained by sorting, and the time difference of the zero crossing point of the primary echo and the secondary echo is obtained by reverse calculation.

[0004] This technology sets two time windows according to the thickness of the workpiece, so that the first echo and the second echo are respectively in these two time windows. However, corrosion causes the wall thickness of the workpiece to be thinned. As the corrosion progresses, the first echo and the second echo of the obtained detection signal may exceed the time window. This technology calculates the correlation coefficient of the waveform in the two time windows to obtain the most similar starting position of the first echo and the second echo, thereby obtaining their thickness. However, this method is only applicable to uniform corrosion. When the workpiece is locally corroded, the detection signal will be distorted, and it is difficult to obtain the characteristic value using the correlation coefficient, so it is impossible to accurately obtain the position of the first echo and the second echo; and when the workpiece is locally corroded, the detection signal contains not only the echo of the bottom surface of the workpiece, but also the interface echo of the corrosion area; due to the different corrosion morphologies, these echoes may be completely separated or overlapped. Using this technical method, it is impossible to distinguish the characteristic information of corrosion, so it is difficult to accurately calculate the remaining wall thickness of the workpiece after corrosion. Summary of the invention

[0005] The purpose of the present invention is to provide a dynamic adaptive feature analysis ultrasonic corrosion monitoring method and related devices, which can realize automatic processing and analysis of the monitored signals, accurately calculate the corrosion depth, and thus effectively obtain the corrosion rate of the material.

[0006] To achieve the above object, the present invention provides the following solutions:

[0007] In a first aspect, the present invention provides a dynamic adaptive feature-analyzing ultrasonic corrosion monitoring method, and the dynamic adaptive feature-analyzing ultrasonic corrosion monitoring method includes:

[0008] Acquire monitoring data of the monitored object; the monitoring data includes: the initial wall thickness value of the monitored object at the initial moment, the propagation speed of the ultrasonic wave in the monitored object at the current moment, and the corrosion monitoring signal at the current moment.

[0009] The initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness.

[0010] The reference echo time difference is determined according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference reference remaining wall thickness.

[0011] A multiple echo prediction range sequence is established according to the reference benchmark remaining wall thickness or the benchmark echo time difference.

[0012] The noise level of the corrosion monitoring signal at the current moment is calculated, and an echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment is extracted; the echo characteristic value sequence is an echo time sequence or an echo distance sequence.

[0013] According to the multiple echo prediction range sequences, the wave order ranges to which the echo characteristic value sequence belongs are determined.

[0014] According to the wave range of the echo characteristic value sequence, a plurality of valid echo characteristic sequences are established; the valid echo characteristic sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference baseline remaining wall thickness or the adjacent echo time difference is less than or equal to the reference echo time difference.

[0015] According to the propagation speed of the ultrasonic wave in the monitored object at the current moment, the thickness value of each effective echo characteristic sequence is calculated respectively to obtain the total remaining wall thickness value of the monitored object at the current moment.

[0016] Optionally, the dynamic adaptive feature analysis ultrasonic corrosion monitoring method also includes.

[0017] Determine whether the current time is the specified time and obtain the determination result.

[0018] If the judgment result is no, the maximum remaining wall thickness value of the monitored object at the current moment is used as the initial wall thickness value of the monitored object at the initial moment, and the process returns to the step of using the initial wall thickness value of the monitored object at the initial moment as the reference benchmark remaining wall thickness.

[0019] If the judgment result is yes, all remaining wall thickness values ​​of the monitored object at the current moment are taken as the corrosion remaining wall thickness values.

[0020] Optionally, the expression of the reference echo time difference is:

[0021] .

[0022] in, is the reference echo time difference, is the reference datum remaining wall thickness, It is the propagation speed of ultrasonic wave in the monitored object.

[0023] Optionally, the expression of the multiple echo prediction range sequence is:

[0024] ;or

[0025] .

[0026] in, is a multiple echo prediction range sequence, is a natural number, is the reference echo time difference, The remaining wall thickness is the reference datum.

[0027] In a second aspect, the present invention provides a dynamic adaptive feature-analyzing ultrasonic corrosion monitoring device, which includes: a monitoring sensor, a monitoring instrument, a server and a monitoring terminal.

[0028] The monitoring sensor is connected to the monitoring instrument and is used to excite and receive ultrasonic signals in the monitored object.

[0029] The monitoring instrument comprises: an ultrasonic excitation module, a signal amplification module, a signal acquisition module, a dynamic adaptive signal analysis module, a corrosion remaining wall thickness full information calculation module, a data transmission and communication module and a control module.

[0030] The ultrasonic excitation module is used to excite the monitoring sensor to generate ultrasonic waves in the monitored object;

[0031] The signal amplification module is connected to the monitoring sensor and is used to amplify and condition the echo signal received by the monitoring sensor.

[0032] The signal acquisition module is connected to the signal amplification module and is used to collect corrosion monitoring signals;

[0033] The dynamic adaptive signal analysis module is connected to the signal acquisition module and is used to perform feature analysis on the corrosion monitoring signal to obtain the analyzed signal features.

[0034] The corrosion remaining wall thickness full information calculation module is connected to the dynamic adaptive signal analysis module, and is used to calculate the full corrosion remaining wall thickness according to the analyzed signal characteristics to obtain the total remaining wall thickness value of the monitored object.

[0035] The data transmission and communication module is connected to the corrosion remaining wall thickness full information calculation module and the server respectively, and is used to transmit all remaining wall thickness values ​​of the monitored object to the server side and communicate with the server.

[0036] The control module is respectively connected to the ultrasonic excitation module, the signal acquisition module, the dynamic adaptive signal analysis module and the data transmission and communication module, and is used to generate control instructions for each module.

[0037] The server is used to store all remaining wall thickness values ​​of the monitored object and is equipped with monitoring platform software.

[0038] The monitoring terminal is connected to the server and is used for user operation and management.

[0039] Optionally, the dynamic adaptive signal analysis module is connected to the signal acquisition module and is used to perform feature analysis on the corrosion monitoring signal to obtain the analyzed signal features, specifically including:

[0040] The initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness.

[0041] The reference echo time difference is determined according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference reference remaining wall thickness.

[0042] A multiple echo prediction range sequence is established according to the reference benchmark remaining wall thickness or the benchmark echo time difference.

[0043] The noise level of the corrosion monitoring signal at the current moment is calculated, and an echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment is extracted; the echo characteristic value sequence is an echo time value or an echo distance value.

[0044] According to the multiple echo prediction range sequences, the wave order ranges to which the echo characteristic value sequence belongs are determined.

[0045] According to the wave range of the echo characteristic value sequence, a plurality of valid echo characteristic sequences are established; the valid echo characteristic sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference baseline remaining wall thickness or the adjacent echo time difference is less than or equal to the reference echo time difference.

[0046] Optionally, the corrosion remaining wall thickness full information calculation module is connected to the dynamic adaptive signal analysis module, and is used to calculate the total corrosion remaining wall thickness according to the analyzed signal characteristics to obtain the total remaining wall thickness value of the monitored object, specifically including.

[0047] According to the propagation speed of the ultrasonic wave in the monitored object at the current moment, the thickness value of each effective echo characteristic sequence is calculated respectively to obtain the total remaining wall thickness value of the monitored object at the current moment.

[0048] In a third aspect, the present invention provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the dynamic adaptive feature analysis ultrasonic corrosion monitoring methods described above.

[0049] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described dynamic adaptive feature analysis ultrasonic corrosion monitoring methods.

[0050] In a fifth aspect, the present invention provides a computer program product, including a computer program, which, when executed by a processor, implements any of the dynamic adaptive feature analysis ultrasonic corrosion monitoring methods described above.

[0051] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0052] The present invention provides a dynamic adaptive feature analysis ultrasonic corrosion monitoring method and related devices, firstly, the monitoring data of the monitored object is obtained; the monitoring data includes: the initial wall thickness value of the monitored object at the initial moment, the propagation speed of the ultrasonic wave in the monitored object at the current moment and the corrosion monitoring signal at the current moment; the initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness; secondly, according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference benchmark remaining wall thickness, the benchmark echo time difference is determined; according to the reference benchmark remaining wall thickness or the benchmark echo time difference, a sequence of multiple echo prediction ranges is established; furthermore, the noise level of the corrosion monitoring signal at the current moment is calculated, and the corrosion monitoring signal at the current moment is extracted. The echo characteristic value sequence of the corrosion monitoring signal is greater than the noise level of the corrosion monitoring signal at the current moment; the echo characteristic value sequence is an echo time sequence or an echo distance sequence; according to the multiple echo prediction range sequences, the sub-wave range of the echo characteristic value sequence is determined; finally, according to the sub-wave range of the echo characteristic value sequence, several effective echo characteristic sequences are established; the effective echo characteristic sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference benchmark remaining wall thickness or the adjacent echo time difference is less than or equal to the benchmark echo time difference; according to the propagation speed of the ultrasonic wave in the monitored object at the current moment, the thickness value of each of the effective echo characteristic sequences is calculated respectively to obtain the total remaining wall thickness value of the monitored object at the current moment. The traditional ultrasonic thickness measurement method is only applicable to uniform corrosion detection, and it is difficult to make accurate measurement results for local corrosion with more complex corrosion morphology. The present invention can not only obtain the full information of the remaining wall thickness of corrosion monitoring, but also perform dynamic adaptive feature analysis on local corrosion of various morphologies, and more accurately obtain the corrosion remaining wall thickness, reducing the problem of misjudgment and missed judgment of local corrosion. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1This is a diagram of the application environment of a dynamic adaptive feature analysis ultrasonic corrosion monitoring method in one embodiment of the present invention.

[0055] Figure 2 A schematic flow chart of a dynamic adaptive feature analysis ultrasonic corrosion monitoring method provided by an embodiment of the present invention.

[0056] Figure 3 A schematic diagram of the overall solution flow chart provided for one embodiment of the present invention.

[0057] Figure 4 A schematic diagram of local corrosion monitoring provided by an embodiment of the present invention.

[0058] Figure 5 A schematic structural diagram of a dynamic adaptive feature-analyzing ultrasonic corrosion monitoring device provided by an embodiment of the present invention.

[0059] Figure 6 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0062] Ultrasonic testing is the most commonly used detection technology and is widely used in industrial non-destructive testing. However, existing detection applications usually use ultrasound to perform regular or irregular fixed-point measurements of the wall thickness of the equipment to determine the degree of corrosion thinning. This method can roughly assess the corrosion status of the equipment, but because there is an unknown corrosion evolution process between the detection cycles, it is difficult to obtain information on the dynamic evolution process of equipment corrosion. For this reason, ultrasonic waves are used to perform non-invasive online monitoring of the main materials of industrial equipment, which can obtain dynamic information on material corrosion in real time and avoid equipment operation safety risks caused by corrosion evolution during regular or irregular detection intervals.

[0063] Conventional ultrasonic corrosion monitoring methods mainly use traditional ultrasonic thickness measurement methods to measure and analyze wall thickness, that is, pulse echo method is used to obtain the bottom echo time of the measured structure to calculate the thickness value. However, in the process of dynamic corrosion monitoring, the monitoring signals of different corrosion defects show different evolution laws. For uniform corrosion, the traditional ultrasonic thickness measurement method can be applied to wall thickness monitoring and calculation, but for non-uniform and local corrosion, the corrosion process is gradually expanded and evolved, from small to large, from shallow to deep. The morphology of this type of corrosion is relatively complex, and there are often emission surfaces of different depths in the depth direction, which causes the ultrasonic detection signal to have multiple interface reflection echoes, and even signal distortion. In this case, the traditional ultrasonic thickness measurement method cannot accurately evaluate the corrosion thickness, and it is easy to make misjudgments or missed judgments, making it difficult to accurately evaluate the corrosion rate. To this end, the present invention proposes a dynamic adaptive feature analysis ultrasonic corrosion monitoring method, which can realize automatic processing and analysis of the monitored signal, accurately calculate the corrosion depth, and effectively obtain the corrosion rate of the material.

[0064] It can be seen that in the dynamic monitoring process of the residual wall thickness of industrial equipment corrosion, the monitoring signals of different corrosion defects show different evolution laws. The traditional ultrasonic thickness measurement algorithm is difficult to adapt to the automatic analysis and residual wall thickness calculation of various types of corrosion, especially non-uniform corrosion. In order to accurately obtain the remaining wall thickness of the monitored object during the corrosion monitoring of industrial equipment, the present invention proposes a dynamic adaptive feature analysis ultrasonic corrosion monitoring method, which extracts and analyzes the characteristic signals of the sensor for online monitoring of corrosion by performing dynamic adaptive analysis and processing on the ultrasonic corrosion monitoring signal, and realizes accurate analysis and calculation of corrosion characteristic information and corrosion residual wall thickness.

[0065] The dynamic adaptive feature analysis ultrasonic corrosion monitoring method provided by the embodiment of the present invention can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the monitoring data of the monitored object to the server 104, and the monitoring data include: the initial wall thickness value of the monitored object at the initial moment, the propagation speed of the ultrasonic wave in the monitored object at the current moment, and the corrosion monitoring signal at the current moment; after the server 104 receives the monitoring data of the monitored object, for the monitoring data of the monitored object, the server 104 uses the initial wall thickness value of the monitored object at the initial moment as the reference benchmark remaining wall thickness; according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference benchmark remaining wall thickness, determine the benchmark echo time difference; according to the reference benchmark remaining wall thickness or the benchmark echo time difference, establish a multiple echo prediction range sequence; calculate the noise level of the corrosion monitoring signal at the current moment, and provide Take the echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment; the echo characteristic value sequence is an echo time sequence or an echo distance sequence; according to the multiple echo prediction range sequences, determine the sub-wave range of the echo characteristic value sequence; according to the sub-wave range of the echo characteristic value sequence, establish several valid echo characteristic sequences; the valid echo characteristic sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference baseline remaining wall thickness or the adjacent echo time difference is less than or equal to the reference echo time difference; according to the propagation speed of the ultrasonic wave in the monitored object at the current moment, calculate the thickness value of each of the valid echo characteristic sequences respectively to obtain the total remaining wall thickness value of the monitored object at the current moment. The server 104 can feed back the total remaining wall thickness value of the monitored object at the current moment to the terminal 102. In addition, in some embodiments, the dynamic adaptive feature analysis ultrasonic corrosion monitoring method can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly calculate the corrosion depth based on the monitoring data of the monitored object, or the server 104 can obtain the monitoring data of the monitored object from the data storage system and calculate the corrosion depth based on the monitoring data of the monitored object.

[0066] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones and tablet computers, IoT devices and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0067] In an exemplary embodiment, Figure 2 As shown, a dynamic adaptive feature analysis ultrasonic corrosion monitoring method is provided. The method is executed by a computer device, specifically, it can be executed by a computer device such as a terminal or a server alone, or it can be executed by a terminal and a server together. In an embodiment of the present invention, the method is applied to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps S1 to S8.

[0068] S1: Acquire monitoring data of the monitored object; the monitoring data includes: an initial wall thickness value of the monitored object at an initial moment, a propagation speed of ultrasonic waves in the monitored object at a current moment, and a corrosion monitoring signal at a current moment.

[0069] S2: The initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness.

[0070] S3: Determine a reference echo time difference according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference reference remaining wall thickness.

[0071] S4: establishing a multiple echo prediction range sequence according to the reference benchmark remaining wall thickness or the benchmark echo time difference.

[0072] S5: Calculate the noise level of the corrosion monitoring signal at the current moment, and extract the echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment; the echo characteristic value sequence is an echo time sequence or an echo distance sequence.

[0073] S6: Determine the wave order ranges to which the echo feature value sequence belongs according to the multiple echo prediction range sequences.

[0074] S7: Establishing a plurality of valid echo feature sequences according to the wave range of the echo feature value sequence; the valid echo feature sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference baseline remaining wall thickness or the adjacent echo time difference is less than or equal to the reference echo time difference.

[0075] S8: Calculate the thickness value of each effective echo feature sequence according to the propagation speed of the ultrasonic wave in the monitored object at the current moment, and obtain the total remaining wall thickness value of the monitored object at the current moment.

[0076] Implementing the above-mentioned steps S1 to S8 can realize online corrosion monitoring of industrial equipment without stopping, so as to dynamically, continuously and completely evaluate the corrosion of the equipment. The losses caused by corrosion can be reduced and the service life of the equipment can be extended. Personnel can take safety measures in time to prevent various safety accidents and environmental pollution problems caused by equipment corrosion failure. The traditional ultrasonic thickness measurement method is only applicable to uniform corrosion detection, and it is difficult to make accurate measurement results for local corrosion with more complex corrosion morphology. The present invention can not only obtain the full information of the remaining wall thickness for corrosion monitoring, but also perform dynamic and adaptive feature analysis on local corrosion of various morphologies, and can more accurately obtain the residual wall thickness of corrosion, reducing the problem of misjudgment and missed judgment of local corrosion.

[0077] In another exemplary embodiment of the present invention, the dynamic adaptive feature analysis ultrasonic corrosion monitoring method further includes:

[0078] Determine whether the current time is the specified time and obtain the determination result.

[0079] If the judgment result is no, the maximum remaining wall thickness value of the monitored object at the current moment is used as the initial wall thickness value of the monitored object at the initial moment, and the process returns to the step of using the initial wall thickness value of the monitored object at the initial moment as the reference benchmark remaining wall thickness.

[0080] If the judgment result is yes, all remaining wall thickness values ​​of the monitored object at the current moment are taken as the corrosion remaining wall thickness values.

[0081] The present invention can obtain all valid corrosion residual wall thickness information at the current moment, including the maximum residual wall thickness value and the minimum residual wall thickness value, and use the maximum residual wall thickness value as the reference benchmark residual wall thickness for subsequent corrosion monitoring; at the same time, the minimum residual wall thickness value is used to determine the deepest state of the current corrosion. For the monitored object, the deeper the corrosion, the smaller the remaining wall thickness will be, and this value is the key to determining whether it is safe.

[0082] In order to further illustrate the present invention, Figure 3 As shown, the method includes.

[0083] (1) Obtain the initial wall thickness value of the monitored object and the propagation speed of ultrasound in the monitored object For high temperature online monitoring, the ultrasonic propagation velocity can be obtained according to the temperature of the monitored object.

[0084] (2) Using ultrasonic corrosion monitoring system to collect Corrosion monitoring signals at all times , the length of the signal is L ,in, i is a natural number, , the sampling frequency of the ultrasonic corrosion monitoring system isF .

[0085] (3) Corrosion monitoring signals Perform preprocessing, including but not limited to averaging, filtering, enveloping, etc.

[0086] (4) Known The remaining wall thickness at the moment is , recorded as the initial wall thickness of the monitored object.

[0087] (5) When When Remaining wall thickness at time is the reference datum remaining wall thickness, that is , can be combined with the sound velocity of the monitored object , get the reference echo time difference .

[0088] (6) Utilization or Adaptive establishment of multiple echo prediction range sequences , the prediction range sequence can be an echo time sequence or an echo distance sequence, that is, or ,in, is a natural number, ,satisfy .

[0089] (7) Calculate and set Always monitor the signal Noise level , and extract The echo characteristic value sequence , the characteristic value can be an echo time series or an echo distance series.

[0090] (8) According to Multiple echo prediction range sequence ,analyze The wave range to which each echo characteristic value belongs in the sequence .

[0091] (9) Combined with the wave range of each echo characteristic value right Perform sequence analysis, automatically analyze and establish Or the time difference of adjacent echoes is less than or equal to All valid echo feature sequences , ,……, ,in n Represents which group.

[0092] (10) Combined with the propagation speed of the monitored object , respectively for all valid echo feature sequences , ,……, Calculate the thickness value and obtain All remaining thickness information of the monitored object at all times , ,……, .

[0093] (11) Further analysis and acquisition The minimum remaining wall thickness at the moment and the maximum remaining wall thickness , if there is only one set of valid echo characteristic values, that is n =1, then .

[0094] (12) As the Repeat the above steps to calculate the remaining wall thickness of the reference benchmark at the moment Real-time monitoring signal collection, analysis and remaining wall thickness calculation.

[0095] The present invention can not only obtain the full information of the remaining wall thickness for corrosion monitoring, but also perform dynamic and adaptive feature analysis on local corrosion of various morphologies, and can more accurately obtain the corrosion remaining wall thickness, thus reducing the problem of misjudgment and missed judgment of local corrosion.

[0096] In another exemplary embodiment of the present invention, taking local corrosion monitoring as an example, Figure 4 As shown, at a certain moment, the monitoring signal collected by the control monitoring system is , the signal length is L The initial thickness is , the ultrasonic speed is V , and according to the signal length L and frequency of adoption F , according to the conditions , establish multiple echo prediction range , and .

[0097] Further calculation of monitoring signal Noise level , and extract The echo characteristic value sequence .

[0098] analyze The wave range to which each echo characteristic value belongs in the sequence , establish satisfaction Or the time difference of adjacent echoes is less than or equal to All valid monitoring echo characteristic value sequences , .

[0099] Combined with the sound velocity of the monitored object , respectively for all effective monitoring echo characteristic value sequences , Calculate the thickness value and obtain The remaining thickness value of the monitored object at all times , .

[0100] That is, all valid corrosion residual wall thickness information at the current moment can be obtained, including the maximum residual wall thickness and the minimum residual wall thickness, and the maximum residual wall thickness is used as the reference thickness value for subsequent corrosion monitoring.

[0101] The present invention also provides an application scenario, which applies the above-mentioned dynamic adaptive feature analysis ultrasonic corrosion monitoring method. Specifically: The dynamic adaptive feature analysis ultrasonic corrosion monitoring method provided in this embodiment can be applied in the corrosion depth calculation scenario. The corrosion depth calculation scenario includes a data acquisition link, a data analysis and processing link, and a corrosion depth calculation link; the acquired monitoring data includes the initial wall thickness value of the monitored object at the initial moment, the propagation speed of the ultrasonic wave in the monitored object at the current moment, and the corrosion monitoring signal at the current moment, and the initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness; and then according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference benchmark remaining wall thickness, the benchmark echo time difference can be determined; according to the reference benchmark remaining wall thickness or the benchmark echo time difference, a sequence of multiple echo prediction ranges is established; Calculate the noise level of the corrosion monitoring signal at the current moment, and extract the echo feature value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment; finally, determine the wave range of the echo feature value sequence according to the multiple echo prediction range sequences; establish a number of valid echo feature sequences according to the wave range of the echo feature value sequence; calculate the thickness value of each valid echo feature sequence according to the propagation speed of the ultrasonic wave in the monitored object at the current moment, and obtain all the remaining wall thickness values ​​of the monitored object at the current moment.

[0102] Based on the same inventive concept, the embodiment of the present invention also provides a dynamic adaptive feature resolution ultrasonic corrosion monitoring device for implementing the dynamic adaptive feature resolution ultrasonic corrosion monitoring method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the dynamic adaptive feature resolution ultrasonic corrosion monitoring device provided below can refer to the limitations of the dynamic adaptive feature resolution ultrasonic corrosion monitoring method above, and will not be repeated here.

[0103] In an exemplary embodiment, Figure 5 As shown, a dynamic adaptive feature-analyzing ultrasonic corrosion monitoring device is provided, characterized in that the dynamic adaptive feature-analyzing ultrasonic corrosion monitoring device includes: a monitoring sensor, a monitoring instrument, a server and a monitoring terminal.

[0104] The monitoring sensor is connected to the monitoring instrument and is used to excite and receive ultrasonic signals in the monitored object.

[0105] The monitoring instrument comprises: an ultrasonic excitation module, a signal amplification module, a signal acquisition module, a dynamic adaptive signal analysis module, a corrosion remaining wall thickness full information calculation module, a data transmission and communication module and a control module.

[0106] The ultrasonic excitation module is used to excite the monitoring sensor to generate ultrasonic waves in the monitored object.

[0107] The signal amplification module is connected to the monitoring sensor and is used to amplify and condition the echo signal received by the monitoring sensor.

[0108] The signal acquisition module is connected to the signal amplification module and is used to collect corrosion monitoring signals.

[0109] The dynamic adaptive signal analysis module is connected to the signal acquisition module and is used to perform feature analysis on the corrosion monitoring signal to obtain the analyzed signal features.

[0110] The corrosion remaining wall thickness full information calculation module is connected to the dynamic adaptive signal analysis module, and is used to calculate the full corrosion remaining wall thickness according to the analyzed signal characteristics to obtain the total remaining wall thickness value of the monitored object.

[0111] The data transmission and communication module is connected to the corrosion remaining wall thickness full information calculation module and the server respectively, and is used to transmit all remaining wall thickness values ​​of the monitored object to the server side and communicate with the server.

[0112] The control module is respectively connected to the ultrasonic excitation module, the signal acquisition module, the dynamic adaptive signal analysis module and the data transmission and communication module, and is used to generate control instructions for each module.

[0113] The server is used to store all remaining wall thickness values ​​of the monitored object and is equipped with monitoring platform software.

[0114] The monitoring terminal is connected to the server and is used for user operation and management.

[0115] As an optional implementation, the dynamic adaptive signal analysis module is connected to the signal acquisition module and is used to perform feature analysis on the corrosion monitoring signal to obtain the analyzed signal features, specifically including:

[0116] A1: The initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness.

[0117] A2: Determine the reference echo time difference according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference benchmark remaining wall thickness.

[0118] A3: Establishing a multiple echo prediction range sequence according to the reference benchmark remaining wall thickness or the benchmark echo time difference.

[0119] A4: Calculate the noise level of the corrosion monitoring signal at the current moment, and extract the echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment; the echo characteristic value sequence is an echo time value or an echo distance value.

[0120] A5: Determine the wave order ranges to which the echo characteristic value sequence belongs according to the multiple echo prediction range sequences.

[0121] A6: Establish several valid echo feature sequences according to the wave range of the echo feature value sequence; the valid echo feature sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference baseline remaining wall thickness or the adjacent echo time difference is less than or equal to the reference echo time difference.

[0122] As an optional implementation, the corrosion remaining wall thickness full information calculation module is connected to the dynamic adaptive signal analysis module, and is used to calculate the total corrosion remaining wall thickness according to the analyzed signal characteristics to obtain the total remaining wall thickness value of the monitored object, specifically including.

[0123] According to the propagation speed of the ultrasonic wave in the monitored object at the current moment, the thickness value of each effective echo characteristic sequence is calculated respectively to obtain the total remaining wall thickness value of the monitored object at the current moment.

[0124] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store monitoring data of the monitored object. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a dynamic adaptive feature analysis ultrasonic corrosion monitoring method is implemented.

[0125] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0126] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above-mentioned method embodiments are implemented when the processor executes the computer program.

[0127] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the above-mentioned method embodiments are implemented.

[0128] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the above-mentioned method embodiments are implemented.

[0129] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0130] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0131] The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0132] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0133] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A dynamic adaptive feature analysis ultrasonic corrosion monitoring method, characterized in that: The dynamic adaptive feature analysis ultrasonic corrosion monitoring method comprises: Acquire monitoring data of the monitored object; the monitoring data includes: an initial wall thickness value of the monitored object at an initial moment, a propagation speed of ultrasonic waves in the monitored object at a current moment, and a corrosion monitoring signal at a current moment; The initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness; Determining a reference echo time difference according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference reference remaining wall thickness; Establishing a multiple echo prediction range sequence according to the reference benchmark remaining wall thickness or the benchmark echo time difference; Calculating the noise level of the corrosion monitoring signal at the current moment, and extracting the echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment; the echo characteristic value sequence is an echo time sequence or an echo distance sequence; Determining the wave order ranges of the echo characteristic value sequence according to the multiple echo prediction range sequences; According to the wave range of the echo characteristic value sequence, a plurality of valid echo characteristic sequences are established; the valid echo characteristic sequence is a sequence in which the residual wall thickness at the current moment is less than or equal to the reference baseline residual wall thickness or the time difference between adjacent echoes is less than or equal to the reference echo time difference; According to the propagation speed of the ultrasonic wave in the monitored object at the current moment, respectively calculating the thickness value of each of the effective echo characteristic sequences to obtain the total remaining wall thickness value of the monitored object at the current moment; The expression of the reference echo time difference is: ； in, is the reference echo time difference, is the reference datum remaining wall thickness, is the propagation speed of ultrasound in the monitored object; The expression of the multiple echo prediction range sequence is: ;or ； in, is a multiple echo prediction range sequence, is a natural number.

2. The dynamic adaptive feature analysis ultrasonic corrosion monitoring method according to claim 1 is characterized in that: The dynamic adaptive feature analysis ultrasonic corrosion monitoring method also includes: Determine whether the current time is the specified time and obtain the determination result; If the judgment result is no, the maximum remaining wall thickness value of the monitored object at the current moment is used as the initial wall thickness value of the monitored object at the initial moment, and the process returns to the step of using the initial wall thickness value of the monitored object at the initial moment as the reference benchmark remaining wall thickness; If the judgment result is yes, all remaining wall thickness values ​​of the monitored object at the current moment are taken as the corrosion remaining wall thickness values.

3. A dynamic adaptive feature-analyzing ultrasonic corrosion monitoring device, which is used to implement the dynamic adaptive feature-analyzing ultrasonic corrosion monitoring method according to claim 1 or 2, characterized in that: The dynamic adaptive feature analysis ultrasonic corrosion monitoring device comprises: a monitoring sensor, a monitoring instrument, a server and a monitoring terminal; The monitoring sensor is connected to the monitoring instrument and is used to excite and receive ultrasonic signals in the monitored object; The monitoring instrument comprises: an ultrasonic excitation module, a signal amplification module, a signal acquisition module, a dynamic adaptive signal analysis module, a corrosion remaining wall thickness full information calculation module, a data transmission and communication module and a control module; The ultrasonic excitation module is used to excite the monitoring sensor to generate ultrasonic waves in the monitored object; The signal amplification module is connected to the monitoring sensor and is used to amplify and condition the echo signal received by the monitoring sensor; The signal acquisition module is connected to the signal amplification module and is used to collect corrosion monitoring signals; The dynamic adaptive signal analysis module is connected to the signal acquisition module and is used to perform feature analysis on the corrosion monitoring signal to obtain the analyzed signal features; The corrosion remaining wall thickness full information calculation module is connected to the dynamic adaptive signal analysis module, and is used to calculate the full corrosion remaining wall thickness according to the analyzed signal characteristics to obtain the total remaining wall thickness value of the monitored object; The data transmission and communication module is connected to the corrosion remaining wall thickness full information calculation module and the server respectively, and is used to transmit all the remaining wall thickness values ​​of the monitored object to the server side and communicate with the server; The control module is connected to the ultrasonic excitation module, the signal acquisition module, the dynamic adaptive signal analysis module and the data transmission and communication module respectively, and is used to generate control instructions for each module; The server is used to store all remaining wall thickness values ​​of the monitored object and is equipped with monitoring platform software; The monitoring terminal is connected to the server and is used for user operation and management.

4. The dynamic adaptive feature analysis ultrasonic corrosion monitoring device according to claim 3 is characterized in that: The dynamic adaptive signal analysis module is connected to the signal acquisition module and is used to perform feature analysis on the corrosion monitoring signal to obtain the analyzed signal features, specifically including: The initial wall thickness value of the monitored object at the initial moment is used as the reference benchmark remaining wall thickness; Determine the reference echo time difference according to the propagation speed of the ultrasonic wave in the monitored object at the current moment and the reference reference remaining wall thickness; Establishing a multiple echo prediction range sequence according to the reference benchmark remaining wall thickness or the benchmark echo time difference; Calculating the noise level of the corrosion monitoring signal at the current moment, and extracting the echo characteristic value sequence of the corrosion monitoring signal at the current moment that is greater than the noise level of the corrosion monitoring signal at the current moment; the echo characteristic value sequence is an echo time value or an echo distance value; Determining the wave order ranges of the echo characteristic value sequence according to the multiple echo prediction range sequences; According to the wave range of the echo characteristic value sequence, a plurality of valid echo characteristic sequences are established; the valid echo characteristic sequence is a sequence in which the remaining wall thickness at the current moment is less than or equal to the reference baseline remaining wall thickness or the adjacent echo time difference is less than or equal to the reference echo time difference.

5. The dynamic adaptive feature analysis ultrasonic corrosion monitoring device according to claim 4 is characterized in that: The corrosion remaining wall thickness full information calculation module is connected to the dynamic adaptive signal analysis module and is used to calculate the full corrosion remaining wall thickness according to the analyzed signal characteristics to obtain the total remaining wall thickness value of the monitored object, specifically including: According to the propagation speed of the ultrasonic wave in the monitored object at the current moment, the thickness value of each effective echo characteristic sequence is calculated respectively to obtain the total remaining wall thickness value of the monitored object at the current moment.

6. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the dynamic adaptive feature analysis ultrasonic corrosion monitoring method of claim 1 or 2.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the dynamic adaptive feature analysis ultrasonic corrosion monitoring method described in claim 1 or 2 is implemented.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the dynamic adaptive feature analysis ultrasonic corrosion monitoring method described in claim 1 or 2 is implemented.

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