Method and system for calculating corrosion rate of galvanized steel based on electrochemical noise data

Abstract

The present application relates to the field of galvanized steel corrosion rate monitoring and protection, and provides a galvanized steel corrosion rate calculation method and system based on electrochemical noise data. The method comprises: obtaining a potential signal distinguishing the galvanized steel, using wavelet decomposition and segmentation processing, dividing high-frequency noise signals, medium-frequency noise signals and low-frequency noise signals according to the high and low of different resolution frequencies, and determining the total energy of the high-frequency noise, the total energy of the medium-frequency noise and the total energy of the low-frequency noise; calculating the absolute value of the energy difference between the total energy of the medium-frequency noise and the total energy of the low-frequency noise, if the absolute value of the energy difference is less than a first threshold value, the corrosion rate of the galvanized layer is a determined value, if the absolute value of the energy difference is greater than a second threshold value, the corrosion rate of the galvanized layer is: a=k*|E m -E l |+b; wherein a represents the corrosion rate of the galvanized layer, E m represents the total energy of the medium-frequency noise, E l represents the total energy of the low-frequency noise, and k and b are real numbers.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of galvanized steel corrosion rate monitoring and protection, and particularly relates to a galvanized steel corrosion rate calculation method and system based on electrochemical noise data. BACKGROUND

[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute the prior art.

[0003] Microscopic observation and linear polarization are commonly used methods for characterizing the corrosion properties of metal samples. By observing the corrosion morphology of the sample and quantitatively analyzing the polarization curve, the current corrosion state and corrosion rate of the metal can be obtained. However, the testing process is destructive, the test period is long, and it cannot be applied to continuous monitoring of the corrosion rate of metal parts. Open circuit potential monitoring is a non-destructive testing method. The noise characteristics of the open circuit potential signal can effectively reflect the corrosion state of the metal sample. However, under the existing technical system, the noise signal characteristics of the open circuit potential can only be qualitatively corresponded to the corrosion mode of the sample, and there is a lack of quantitative means. The judgment of the corrosion mode depends on experience, and it is more difficult to quantitatively correspond to the corrosion rate of the sample. SUMMARY

[0004] In order to solve the technical problems existing in the background art, the present application provides a galvanized steel corrosion rate calculation method and system based on electrochemical noise data. Based on the wavelet decomposition technology of the open circuit potential noise signal and combined with the electrochemical experimental results, the present application summarizes a quantitative relationship suitable for the noise signal and the corrosion rate of the galvanized layer of galvanized steel, realizes the accurate calculation of the corrosion rate of galvanized steel, and improves the efficiency of calculating the corrosion rate of galvanized steel.

[0005] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0006] The first aspect of the present application provides a galvanized steel corrosion rate calculation method based on electrochemical noise data.

[0007] The galvanized steel corrosion rate calculation method based on electrochemical noise data comprises:

[0008] The potential signal of the galvanized steel is obtained, and wavelet decomposition and segmentation processing are adopted. According to the high and low of different resolution frequencies, high-frequency noise signals, medium-frequency noise signals and low-frequency noise signals are obtained, and the total energy of the high-frequency noise, the total energy of the medium-frequency noise and the total energy of the low-frequency noise are determined.

[0009] The absolute value of the energy difference between the total energy of the medium-frequency noise and the total energy of the low-frequency noise is calculated. If the absolute value of the energy difference is less than a first threshold value, the corrosion rate of the galvanized layer is a determined value. If the absolute value of the energy difference is greater than a second threshold value, the corrosion rate of the galvanized layer is: a=k×|Em -E l |+b; where a represents the corrosion rate of the galvanized layer, E m Represents the total energy of intermediate frequency noise, E l Represents the total energy of low-frequency noise, where k and b are both real numbers.

[0010] Furthermore, after obtaining the potential signal for distinguishing galvanized steel, the method further includes: measuring the polarization curve of the potential signal for distinguishing galvanized steel, selecting the last two m The signal points are extended antisymmetrically to obtain 2 (m+1) signal points.

[0011] Furthermore, the process of using wavelet decomposition and segmentation processing includes: (m+1) After wavelet decomposition of the signal points, several noise signals with different resolutions and a denoised signal are obtained. Each signal segment contains 2 (m +1) signal points.

[0012] Furthermore, the signal lengths of several noise signals with different resolutions and the signal length of a denoised signal are reduced to 2 by removing a quarter of the signal points before and after. m signal points.

[0013] Furthermore, the process of dividing the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal according to the different resolution frequencies includes: adding the restored noise signals of several segments with different resolutions according to the resolution levels to obtain the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal.

[0014] Furthermore, the process of determining the total energy of high-frequency noise, the total energy of intermediate-frequency noise, and the total energy of low-frequency noise includes: squaring the signal points of the high-frequency noise signal and then summing them to obtain the total energy of high-frequency noise; squaring the signal points of the intermediate-frequency noise signal and then summing them to obtain the total energy of intermediate-frequency noise; and squaring the signal points of the low-frequency noise signal and then summing them to obtain the total energy of low-frequency noise.

[0015] Furthermore, if the absolute value of the energy difference is less than the first threshold, the corrosion rate of the galvanized layer is 0.001; when the absolute value of the energy difference is greater than the second threshold, the corrosion rate of the galvanized layer is: a = 0.04 × |E m -E l |+0.001.

[0016] A second aspect of the present invention provides a galvanized steel corrosion rate calculation system based on electrochemical noise data.

[0017] The galvanized steel corrosion rate calculation system based on electrochemical noise data comprises:

[0018] The data acquisition and processing module is configured to acquire the potential signal distinguishing the galvanized steel, adopt wavelet decomposition and segmentation processing, divide to obtain high-frequency noise signal, medium-frequency noise signal and low-frequency noise signal according to the high and low of different resolution frequencies, and determine high-frequency noise total energy, medium-frequency noise total energy and low-frequency noise total energy.

[0019] The corrosion rate determination module is configured to calculate the absolute value of the energy difference between the medium-frequency noise total energy and the low-frequency noise total energy, if the absolute value of the energy difference is less than a first threshold value, the corrosion rate of the galvanizing layer is a determined value, if the absolute value of the energy difference is greater than a second threshold value, the corrosion rate of the galvanizing layer is: a=k*|E m -E l + b; wherein a represents the corrosion rate of the galvanizing layer, E m represents the medium-frequency noise total energy, E l represents the low-frequency noise total energy, and k and b are real numbers.

[0020] The third aspect of the present application provides a computer readable storage medium.

[0021] A computer readable storage medium has a computer program stored thereon, and the program is executed by a processor to realize the steps in the galvanized steel corrosion rate calculation method based on electrochemical noise data according to the first aspect.

[0022] The fourth aspect of the present application provides a computer device.

[0023] A computer device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, and the processor executes the program to realize the steps in the galvanized steel corrosion rate calculation method based on electrochemical noise data according to the first aspect.

[0024] Compared with the prior art, the present application has the following beneficial effects:

[0025] In the implementation of the metal sample corrosion state monitoring, the present application can reduce the use of parallel samples for surface topography observation, electrochemical analysis and the like, and save the cumbersome test methods such as polarization curve and corrosion weight loss experiment, and only through potential monitoring and noise signal pattern analysis can the continuous monitoring of the metal sample corrosion rate be realized.

[0026] On the wavelet analysis method of metal corrosion signal noise, the prior art usually normalizes high, medium and low frequency noise energy, resulting in waste of noise energy data in each frequency band and only qualitative correlation with the corrosion mode of the metal sample. The present application discards the noise energy normalization processing method, retains the absolute value of the energy of each noise frequency band, and compares it with the corrosion rate obtained from the polarization curve under the same corrosion conditions, obtaining the quantitative relationship between the zinc-plated steel potential noise energy and the corrosion rate, so that the potential monitoring method can replace the original destructive polarization method to realize continuous monitoring of the corrosion rate of a single sample through noise signal processing. BRIEF DESCRIPTION OF DRAWINGS

[0027] The accompanying drawings, which form a part of this specification, are included to provide a further understanding of the application, and are incorporated by reference herein. The embodiments illustrated in the drawings are presented by way of example in explaining the present application and are not meant to limit the present application.

[0028] Figure 1 is a flowchart of the zinc-plated steel corrosion rate calculation method based on electrochemical noise data shown in the present application;

[0029] Figure 2 is a potential signal waveform diagram of zinc-plated Q235 steel at different temperatures shown in the present application;

[0030] Figure 3 is a polarization curve diagram of zinc-plated Q235 steel at different temperatures shown in the present application;

[0031] Figure 4 is a comparison diagram of the corrosion rates obtained by the potential signal noise analysis method and the polarization curve method at different temperatures shown in the present application. DETAILED DESCRIPTION

[0032] The present application will be further described below in conjunction with the drawings and examples.

[0033] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application pertains.

[0034] It should be noted that the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, the singular form is intended to include the plural form unless the context clearly indicates otherwise, and furthermore, it should be understood that when the terms "comprise" and / or "include" are used in the specification, they refer to the presence of a feature, step, operation, device, component and / or combinations thereof.

[0035] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the methods and systems according to the various embodiments of the present disclosure. It should be noted that each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code can include one or more executable instructions for implementing the logical functions specified in the various embodiments. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of the boxes in the flowchart and / or block diagram, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0036] Example 1

[0037] like Figure 1 As shown, this embodiment provides a method for calculating the corrosion rate of galvanized steel based on electrochemical noise data. This embodiment uses the method applied to a server as an example for illustration. It is understandable that the method can also be applied to a terminal, and can also be applied to a system including a terminal, a server, and a server, and is implemented through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, tablet computer, laptop computer, desktop computer, smart speaker, smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected by wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0038] The potential signal of galvanized steel is obtained and resolved, and wavelet decomposition and segmentation processing are used to divide the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal according to the different resolution frequencies, and the total energy of the high-frequency noise, the total energy of the medium-frequency noise and the total energy of the low-frequency noise are determined; in the present invention, the wavelet decomposition can use the db8 function.

[0039] Calculate the absolute value of the energy difference between the total energy of the medium-frequency noise and the total energy of the low-frequency noise. If the absolute value of the energy difference is less than the first threshold, the corrosion rate of the galvanized layer is a certain value; if the absolute value of the energy difference is greater than the second threshold, the corrosion rate of the galvanized layer is: a = k × |Em -E l |+b; where a represents the corrosion rate of the galvanized layer, E m Represents the total energy of intermediate frequency noise, E l Represents the total energy of low-frequency noise, and k and b are both real numbers. In the present invention, when the absolute value of the energy difference is less than the first threshold, the galvanized layer is in a stable state and the corrosion rate of the galvanized layer is 0.001; when the absolute value of the energy difference is greater than the second threshold, the galvanized layer is in an unstable corrosion stage and the corrosion rate of the galvanized layer is: a = 0.04 × |E m -E l |+0.001.

[0040] In one embodiment, after obtaining the potential signal for distinguishing galvanized steel, the method further includes: measuring the polarization curve of the potential signal for distinguishing galvanized steel, selecting the last two m The signal points are extended antisymmetrically to obtain 2 (m+1) In one or more embodiments, m may be set to 11.

[0041] In one embodiment, (m+1) After wavelet decomposition of the signal points, several noise signals with different resolutions and a denoised signal are obtained. Each signal segment contains 2 (m+1) In one or more embodiments, the wavelet function for wavelet decomposition is db8 function, the decomposition level is 9, and the noise signals of different resolutions obtained after decomposition are 9 noise signals of different resolutions.

[0042] In one embodiment, the signal lengths of several noise signals of different resolutions and the signal length of a denoised signal are both reduced by removing a quarter of the signal points before and after, and restored to 2 m signal points.

[0043] In one embodiment, the restored noise signals of multiple segments with different resolutions are summed according to their resolution to obtain a high-frequency noise signal, a medium-frequency noise signal, and a low-frequency noise signal. In one or more embodiments, the three segments with the highest resolution are summed to obtain the high-frequency noise signal, the three segments with the lowest resolution are summed to obtain the low-frequency noise signal, and the remaining three segments are summed to obtain the medium-frequency noise signal.

[0044] In one embodiment, the signal points of the high-frequency noise signal are squared and summed to obtain the total energy of the high-frequency noise; the signal points of the intermediate-frequency noise signal are squared and summed to obtain the total energy of the intermediate-frequency noise; and the signal points of the low-frequency noise signal are squared and summed to obtain the total energy of the low-frequency noise.

[0045] In an embodiment, when the absolute value of the energy difference is less than a first threshold value, the galvanized layer is in a stable state, and the corrosion rate of the galvanized layer is 0.001; when the absolute value of the energy difference is greater than a second threshold value, the galvanized layer is in an unstable corrosion stage, and the corrosion rate of the galvanized layer is: a = 0.04 * |E m -E l |+0.001.

[0046] In one or more embodiments, the first threshold value can be 0.0001, and the second threshold value can be 0.005.

[0047] Based on the wavelet decomposition technology of the open circuit potential noise signal, combined with the electrochemical experimental results, the quantitative relationship suitable for the noise signal and the corrosion rate of the galvanized layer of the galvanized steel is summarized, the accurate calculation of the corrosion rate of the galvanized steel is realized, and the efficiency of calculating the corrosion rate of the galvanized steel is improved.

[0048] To achieve the above object, the present application provides the following technical scheme: taking the corrosion of galvanized Q235 steel in 3.5wt.% NaCl solution at 25, 30, 35, 40 and 45℃ as an example.

[0049] Step one: when collecting the potential signal, set the collection frequency to 10Hz, collect 5000 potential signal points, then perform polarization curve test, measure the corrosion current density of the sample, and characterize the corrosion rate of the sample under no external potential.

[0050] Step two: analyze the last 4096 signal points in the potential signal as a whole, perform anti-symmetric extension, and expand the signal length to 8192 signal points.

[0051] Step three: the extended signal is decomposed by wavelet, the wavelet function is db8 function, the decomposition level is 9, and 9 segments of noise signals with different resolutions and 1 segment of denoising signals are obtained after decomposition, each segment of signal contains 8192 signal points.

[0052] Step four: remove the first 2048 signal points and the last 2048 signal points of the obtained 9 segments of noise signals and 1 segment of denoising signals respectively, so that the signal length is restored to 4096 signal points.

[0053] Step five: add the 9 segments of noise signals according to the resolution, add the 3 segments of signals with the highest resolution to obtain high frequency noise signals, add the 3 segments of signals with the lowest resolution to obtain low frequency noise signals, and add the remaining 3 segments to obtain medium frequency noise signals, to obtain the noise signals of the galvanized Q235 steel in different frequency bands within 409.6s.

[0054] Step six: noise energy statistics are performed on the high-frequency noise signal, the intermediate-frequency noise signal and the low-frequency noise signal respectively, all data points are squared and added to obtain the noise energy, and the high-frequency noise total energy E of the high-frequency noise signal is obtained h , the intermediate-frequency noise total energy E of the intermediate-frequency noise signal is obtained m , and the low-frequency noise total energy E of the low-frequency noise signal is obtained l .

[0055] Step seven: the intermediate-frequency noise total energy is subtracted from the low-frequency noise total energy to obtain the energy difference absolute value |E m -E l |, when |E m -E l | is less than 0.0001, the zinc plating layer is in a stable state, and the corrosion rate (g·cm -2 ·h -1 ) a is approximately equal to 0.001, when |E m -E l | is greater than 0.005, the zinc plating layer is in an unstable corrosion stage, and the relationship between the corrosion rate a and the noise energy difference E is a = 0.04 × |E m -E l | + 0.001.

[0056] In some embodiments, the collection frequency of the potential signal is selected according to the accuracy of the instrument, and the range is 1-10 Hz, and the highest effective analysis frequency of the noise signal is 1 / 2 of the signal collection frequency.

[0057] In some embodiments, the length of the signal to be analyzed needs to be selected as 2 n , so that the intermediate-frequency information of the noise signal is reliable, and n>7 is usually selected.

[0058] In some embodiments, when wavelet decomposition is performed, the wavelet function can be selected as Daubechies, Haar or Symlets function according to the waveform, and the decomposition level is greater than 6.

[0059] In some embodiments, when the noise energy is counted, the number of data points is greater than or equal to 2 d , wherein d is the wavelet decomposition level.

[0060] Embodiment two

[0061] The embodiment provides a zinc-plated steel corrosion rate calculation system based on electrochemical noise data.

[0062] The zinc-plated steel corrosion rate calculation system based on electrochemical noise data comprises:

[0063] The data acquisition and processing module is configured to acquire the potential signal of the galvanized steel, adopt wavelet decomposition and section processing, divide the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal according to the high and low of different resolution frequencies, and determine the high-frequency noise total energy, the medium-frequency noise total energy and the low-frequency noise total energy.

[0064] The corrosion rate determination module is configured to calculate the absolute value of the energy difference between the medium-frequency noise total energy and the low-frequency noise total energy, if the absolute value of the energy difference is less than a first threshold value, the corrosion rate of the galvanizing layer is a determined value, if the absolute value of the energy difference is greater than a second threshold value, the corrosion rate of the galvanizing layer is: a=k×|E m -E l +b; wherein a represents the corrosion rate of the galvanizing layer, E m represents the medium-frequency noise total energy, E l represents the low-frequency noise total energy, k and b are real numbers.

[0065] In an embodiment, the data acquisition and processing module is further configured to perform polarization curve measurement on the potential signal of the galvanized steel, select the last 2 m signal points in the entire potential signal for anti-symmetry extension to obtain 2 (m+1) signal points. In one or more embodiments, m can be 11.

[0066] In an embodiment, the data acquisition and processing module is further configured to perform wavelet decomposition on the 2 (m+1) signal points, and obtain a plurality of noise signals of different resolutions and a denoised signal after decomposition, each of which contains 2 (m+1) signal points. In one or more embodiments, the wavelet function selected for wavelet decomposition is db8 function, the decomposition level is 9, and the plurality of noise signals of different resolutions obtained after decomposition are 9 noise signals of different resolutions.

[0067] In an embodiment, the data acquisition and processing module is further configured to remove one quarter of signal points from the front and back of the signal length of the plurality of noise signals of different resolutions and the signal length of the denoised signal, and restore them to 2 m signal points.

[0068] In an embodiment, the data acquisition and processing module is further configured to add the plurality of noise signals of different resolutions after restoration according to the high and low of the resolution to obtain the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal. In one or more embodiments, the addition of the 3 signals with the highest resolution obtains the high-frequency noise signal, the addition of the 3 signals with the lowest resolution obtains the low-frequency noise signal, and the addition of the remaining 3 signals obtains the medium-frequency noise signal.

[0069] In one embodiment, the data acquisition and processing module is further configured to: square the signal points of the high-frequency noise signal and then add them up to obtain the total energy of the high-frequency noise; square the signal points of the intermediate-frequency noise signal and then add them up to obtain the total energy of the intermediate-frequency noise; square the signal points of the low-frequency noise signal and then add them up to obtain the total energy of the low-frequency noise.

[0070] In one embodiment, when the absolute value of the energy difference is less than the first threshold, the galvanized layer is in a stable state and the corrosion rate of the galvanized layer is 0.001; when the absolute value of the energy difference is greater than the second threshold, the galvanized layer is in an unstable corrosion stage and the corrosion rate of the galvanized layer is: a = 0.04 × |E m -E l |+0.001.

[0071] In one or more embodiments, the first threshold value may be 0.0001, and the second threshold value may be 0.005.

[0072] like Figure 2 As shown in Figure 2, the potential signal of galvanized steel at different temperatures, the solution is 3.5wt% NaCl; Figure 3 As shown in Figure 2, the polarization curves of galvanized steel at different temperatures, the solution is 3.5wt% NaCl; Figure 4 As shown, the corrosion rate ( Figure 4 The black dot in the middle) and the electrochemical noise method ( Figure 4 The correlation between the |Em-El| values ​​was obtained by comparing the corrosion rate results obtained by the polarization curve method and the electrochemical noise method, demonstrating the reliability of the electrochemical noise method.

[0073] Example 3

[0074] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps in the method for calculating the corrosion rate of galvanized steel based on electrochemical noise data as described in the first embodiment above are implemented.

[0075] Example 4

[0076] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the method for calculating the corrosion rate of galvanized steel based on electrochemical noise data as described in the first embodiment above are implemented.

[0077] Those skilled in the art will appreciate that embodiments of the application can be readily used as software, hardware, or a combination of software and hardware. In a software embodiment, the methods can be tangibly embodied in a machine-readable storage medium having stored thereon instructions that can be used to program a processing system to perform the methods. The term "processor," as used herein can refer to one or more processors capable of executing a software routine created to perform one or more processes described herein. The processor can be implemented as one or more central processing units (CPUs), one or more microprocessors, one or more microcomputers, one or more microcontrollers, one or more digital signal processors, one or more graphics processing units (GPUs), one or more processing cores, one or more processing units, one or more processing circuits, one or more processing devices, one or more processors, one or more processing means, or any combination thereof. The processor can be configured to execute instructions stored in a memory or other type of storage device to perform processes described herein.

[0078] The present application is described in reference to the flowchart and / or block diagrams of the methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart and / or block diagrams, and combinations of blocks in the flowchart and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing apparatus, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0079] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0080] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0081] Those skilled in the art will appreciate that implementing all or part of the methods in the above embodiments can be accomplished by way of computer program instructions, which can be stored in a computer-readable storage medium, which cause relevant hardware to perform the methods. The storage medium can be a magnetic disk, an optical disk, a Read-Only Memory (ROM) or a Random Access Memory (RAM), etc.

[0082] The above description is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for calculating the corrosion rate of galvanized steel based on electrochemical noise data, characterized in that, The method comprises the following steps: The process of determining the high-frequency noise total energy, the medium-frequency noise total energy and the low-frequency noise total energy comprises: adding and summing the signal points of the high-frequency noise signal after squaring to obtain the high-frequency noise total energy; adding and summing the signal points of the medium-frequency noise signal after squaring to obtain the medium-frequency noise total energy; and adding and summing the signal points of the low-frequency noise signal after squaring to obtain the low-frequency noise total energy. The quantitative relationship between the potential noise energy of the galvanized steel and the corrosion rate is obtained by retaining the absolute values of the energy of each noise frequency band and comparing them with the corrosion rate obtained from the polarization curve measured under the same corrosion condition. An absolute value of an energy difference between the total energy of the intermediate frequency noise and the total energy of the low frequency noise is calculated, if the absolute value of the energy difference is less than a first threshold value, the corrosion rate of the galvanized layer is 0.001; if the absolute value of the energy difference is greater than a second threshold value, the corrosion rate of the galvanized layer is: a=0.04×|E m -E l |+0.001; wherein a represents the corrosion rate of the galvanized layer, the corrosion rate unit is g·cm -2 ·h -1 , E m represents the total energy of the intermediate frequency noise, E l represents the total energy of the low frequency noise; The process of dividing the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal according to the high and low of different resolution frequencies comprises: adding and summing the noise signals of different resolutions of the restored segments according to the high and low of the resolutions to obtain the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal.

2. The method of claim 1, wherein the method is characterized by: After the potential signal of the differentiated galvanized steel is acquired, further comprising: performing polarization curve measurement on the potential signal of the differentiated galvanized steel, selecting the last two signal points in the entire potential signal to perform anti-symmetry extension, and obtaining two signal points. m (m+1) ​​ 3. The method of claim 2, wherein the method is characterized by: The process of wavelet decomposition and segmentation includes: wavelet decomposition of 2 (m+1) signal points, and obtaining several noise signals with different resolutions and a denoised signal after decomposition, each of which contains 2 (m+1) signal points.

4. The method of claim 3, wherein the method is characterized by: The signal length of several segments of noise signals with different resolutions and the signal length of a segment of de-noised signals are each removed before and after a quarter of the signal points, and restored to 2 m signal points.

5. The method of claim 4, wherein the method is characterized by: The method comprises the following steps:

6. A system for calculating the corrosion rate of galvanized steel based on electrochemical noise data, characterized in that, The data acquisition and processing module is configured to: acquire the potential signal of the galvanized steel, adopt wavelet decomposition and segmentation processing, divide the high-frequency noise signal, the medium-frequency noise signal and the low-frequency noise signal according to the high and low of different resolution frequencies, and determine the high-frequency noise total energy, the medium-frequency noise total energy and the low-frequency noise total energy. The process of determining the high-frequency noise total energy, the medium-frequency noise total energy and the low-frequency noise total energy comprises: adding and summing the signal points of the high-frequency noise signal after squaring to obtain the high-frequency noise total energy; adding and summing the signal points of the medium-frequency noise signal after squaring to obtain the medium-frequency noise total energy; and adding and summing the signal points of the low-frequency noise signal after squaring to obtain the low-frequency noise total energy. The quantitative relationship between the potential noise energy of the galvanized steel and the corrosion rate is obtained by retaining the absolute values of the energy of each noise frequency band and comparing them with the corrosion rate obtained from the polarization curve measured under the same corrosion condition. The corrosion rate determination module is configured to: calculate an absolute value of an energy difference between the total energy of the intermediate frequency noise and the total energy of the low frequency noise, if the absolute value of the energy difference is less than a first threshold value, the corrosion rate of the galvanized layer is 0.001; if the absolute value of the energy difference is greater than a second threshold value, the corrosion rate of the galvanized layer is: a=0.04×|E m -E l +0.001; wherein a represents the corrosion rate of the galvanized layer, the corrosion rate unit is g·cm -2 ·h -1 , E m represents the total energy of the intermediate frequency noise, E l represents the total energy of the low frequency noise; The program is executed by the processor to implement the steps in the galvanized steel corrosion rate calculation method based on electrochemical noise data in any one of claims 1-5.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that, The processor executes the program to implement the steps in the galvanized steel corrosion rate calculation method based on electrochemical noise data in any one of claims 1-5.

8. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, ​

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