A coating failure monitoring and diagnosis method and system based on corrosion galvanic sensor

Abstract

The present invention is a coating failure monitoring and diagnosis method and system based on corrosion galvanic sensors, wherein the method comprises the following steps: performing electrochemical impedance tests on metal system samples covered with organic coatings at original cycles and different aging cycles, obtaining electrochemical low-frequency impedance values ​​at original cycles and different aging cycles, and corrosion current data of metal galvanic sensors under organic coatings; performing logarithmic transformation on the electrochemical low-frequency impedance values ​​at original cycles and different aging cycles, and calculating the logarithmic difference of the electrochemical low-frequency impedance; obtaining the corrosion accumulation quantity based on the corrosion current data; fitting a coating failure monitoring function according to the logarithmic difference of the electrochemical low-frequency impedance and the corrosion accumulation quantity; obtaining the corrosion accumulation quantity of the metal system covered with organic coatings to be diagnosed, and inputting it into the coating failure monitoring function to obtain the aging cycle of the metal system covered with organic coatings to be diagnosed.

Description

Technical Field

[0001] The present application relates to the field of online monitoring of coating aging, and mainly to a coating failure monitoring and diagnosis method and system based on a corrosion galvanic sensor. Background Art

[0002] Corrosion galvanic sensors are commonly used to monitor the corrosion of materials. They usually consist of two different metal materials and evaluate the corrosion process by measuring the potential difference between them. As the corrosion of the material intensifies, the potential and current of the galvanic couple will change. These changes can be used to evaluate the severity and development trend of corrosion through data analysis. The cumulative charge measured by the galvanic sensor is the total charge during the corrosion process, which reflects the degree of corrosion occurring on the metal surface. The electrochemical impedance of the coating measures the resistance of the coating to the flow of current. The higher the impedance, the more effective the coating is in preventing corrosion. When the coating is corroded, its electrochemical impedance decreases, and the cumulative charge recorded by the galvanic sensor increases, indicating that the metal releases more charge during the corrosion process. Therefore, an increase in the cumulative charge usually means a decrease in the electrochemical impedance of the coating, indicating that the protective performance of the coating has decreased; an increase in the cumulative charge can reflect a decrease in the electrochemical impedance of the coating. The connection between the two provides important information for monitoring the corrosion and health of the coating.

[0003] However, the existing galvanic sensor technology for detecting corrosion may have detection accuracy that is limited by environmental noise, sensor stability, and data processing algorithms, making it difficult to accurately reflect the actual corrosion rate and extent in some cases. In addition, galvanic sensors may not be suitable for all types of corrosive environments, such as high temperature, high pressure, or highly corrosive media, which limits their scope of application.

[0004] For example, the Chinese invention patent with the publication number "CN114609031A" discloses a "Method, system and device for assessing the galvanic corrosion risk of sealing coatings", which specifically discloses "obtaining electrochemical test data on the corrosion potential of the sealing coating system to be assessed, determining the galvanic corrosion form of the sealing coating system to be assessed based on the electrochemical test data, and determining the corresponding galvanic anode and galvanic cathode according to the determined galvanic corrosion form, obtaining the galvanic corrosion current between the galvanic anode and the galvanic cathode, and then determining the corrosion risk level of the sealing coating system to be assessed according to the magnitude of the galvanic corrosion current", but this method mainly relies on the magnitude of the galvanic corrosion current when determining the corrosion risk level; however, the measurement of the corrosion current may be affected by many factors, resulting in limited precision and accuracy of the results; in addition, this method also lacks a comprehensive analysis of the changes in coating performance under different aging cycles, and may not accurately reflect the performance changes and corrosion risks of the coating under different aging cycles. Summary of the invention

[0005] In order to solve the above problems existing in the prior art, the present application provides a coating failure monitoring and diagnosis method and system based on corrosion galvanic sensor.

[0006] The technical solution of this application is as follows:

[0007] In one aspect, the present invention provides a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor, the method comprising:

[0008] Electrochemical impedance tests were performed on metal system samples covered with organic coatings at the original cycle and different aging cycles to obtain electrochemical low-frequency impedance values ​​at the original cycle and different aging cycles as well as corrosion current data of metal galvanic sensors under organic coatings;

[0009] Performing logarithmic transformation on the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles, and calculating the logarithmic difference of the electrochemical low-frequency impedance; obtaining the corrosion accumulation quantity based on the corrosion current data; and fitting the coating failure monitoring function according to the logarithmic difference of the electrochemical low-frequency impedance and the corrosion accumulation quantity;

[0010] The accumulated corrosion electricity of the metal system covered with the organic coating to be diagnosed is obtained, and the accumulated corrosion electricity of the metal system covered with the organic coating to be diagnosed is input into the coating failure monitoring function to obtain the aging cycle of the metal system covered with the organic coating to be diagnosed.

[0011] Preferably, the method further comprises performing data cleaning on the electrochemical low-frequency impedance value, wherein the data cleaning comprises processing missing values, abnormal values ​​and unifying the data format.

[0012] Preferably, an electrochemical impedance test is performed on the metal system samples covered with the organic coating at the original cycle and different aging cycles using an electrochemical workstation, wherein the auxiliary electrode of the electrochemical workstation is a graphite electrode, the reference electrode is a saturated calomel electrode, and the working electrode is the metal system samples covered with the organic coating at the original cycle and different aging cycles;

[0013] The electrochemical impedance test parameters are set according to the test requirements, where the test frequency ranges from 100 kHz to 10 mHz and the AC signal amplitude is 10 mV. AC current is applied to the metal system samples covered with organic coatings at the original cycle and different aging cycles, and the electrochemical low-frequency impedance values ​​at the original cycle and different aging cycles and the corrosion current data of the metal galvanic sensor under the organic coating are recorded.

[0014] Preferably, the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles are logarithmically transformed, and the logarithmic difference of the electrochemical low-frequency impedance is calculated, which is expressed as follows:

[0015] S = log(E o)-log(E i ), i=1,2,...,N;

[0016] Where S represents the logarithmic difference of electrochemical low-frequency impedance; E o It represents the electrochemical low-frequency impedance value of the metal system sample covered with organic coating under the original cycle; E i represents the electrochemical low-frequency impedance value of the metal system sample covered with an organic coating under the i-th aging cycle; i represents the index value of the i-th aging cycle; and N represents the number of aging cycles.

[0017] Preferably, the corrosion accumulated electricity is obtained based on the corrosion current data, wherein the corrosion current data is integrated to obtain the corrosion accumulated electricity, which is expressed as:

[0018]

[0019] Where q represents the accumulated corrosion charge monitored by the metal galvanic sensor; t1 represents the start time of the electrochemical impedance spectroscopy test; t2 represents the end time of the electrochemical impedance spectroscopy test; I(t) represents the corrosion current data within the electrochemical impedance spectroscopy test time t; and t represents the test time of the electrochemical impedance spectroscopy test.

[0020] Preferably, the corrosion accumulated electricity is obtained based on the corrosion current data, wherein the test time is divided into n-1 intervals, and the corrosion current data is calculated using the trapezoidal method to obtain the corrosion accumulated electricity, which is expressed as:

[0021]

[0022] Where q represents the accumulated corrosion charge monitored by the metal galvanic sensor; I(t j ) represents the corrosion current in the jth interval; I(t j+1 ) represents the corrosion current in the j+1th interval; Δt represents the time change in the interval; Indicates the end time of the jth interval; t0 j represents the starting time of the jth interval; j represents the index value of the jth interval.

[0023] Preferably, the coating failure monitoring function is fitted according to the electrochemical low-frequency impedance logarithmic difference and the corrosion accumulation quantity, and is expressed as follows:

[0024] S=a(1-e -bq )+c;

[0025] Wherein, a represents the coefficient of the preset electrochemical low-frequency impedance logarithmic difference; b represents the preset attenuation factor; c represents the preset constant term; e -x represents the exponential function; x represents the input of the exponential function;

[0026] If the corrosion accumulation quantity q is within the preset corrosion quantity threshold, the exponential term e -bq converges to 1, and S converges to c; it means that at the initial stage of corrosion, the logarithmic difference of electrochemical impedance changes within the preset range; if the corrosion accumulation charge q exceeds the preset corrosion charge threshold range, the exponential term e -bq It converges to 0, and S converges to a+c; it means that when the corrosion is severe, the difference in the logarithm of the electrochemical impedance reaches its maximum value.

[0027] On the other hand, the present invention also proposes a coating failure monitoring and diagnosis system based on a corrosion galvanic sensor, the system comprising a data acquisition module, a function fitting module, a failure diagnosis module and a result output module, wherein:

[0028] The data acquisition module is used to perform electrochemical impedance tests on metal system samples covered with organic coatings at original cycles and different aging cycles, obtain electrochemical low-frequency impedance values ​​at original cycles and different aging cycles, and corrosion current data of metal galvanic sensors under organic coatings; transmit the electrochemical low-frequency impedance values ​​and corrosion current data to the function fitting module;

[0029] The function fitting module is used to perform logarithmic transformation on the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles, calculate the logarithmic difference of the electrochemical low-frequency impedance; obtain the corrosion accumulation quantity based on the corrosion current data; and fit the coating failure monitoring function according to the logarithmic difference of the electrochemical low-frequency impedance and the corrosion accumulation quantity;

[0030] The failure diagnosis module is used to obtain the corrosion accumulation electricity of the metal system covered with organic coating to be diagnosed, input the corrosion accumulation electricity of the metal system covered with organic coating to be diagnosed into the coating failure monitoring function, and obtain the aging cycle of the metal system covered with organic coating to be diagnosed;

[0031] The result output module is used to display the aging cycle of the metal system covered with the organic coating to be diagnosed.

[0032] On the other hand, the present invention further proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor as described in any embodiment of the present invention is implemented.

[0033] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor as described in any embodiment of the present invention.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1) The present invention provides a coating failure monitoring and diagnosis method and system based on corrosion galvanic sensors, which conducts electrochemical impedance tests on metal system samples covered with organic coatings at original cycles and different aging cycles, and obtains electrochemical low-frequency impedance values ​​and corrosion current data, thereby enhancing the performance changes and corrosion conditions of the coating at different aging stages, and improving the comprehensiveness and accuracy of the evaluation;

[0036] 2) The present invention provides a coating failure monitoring and diagnosis method and system based on corrosion galvanic sensors. By fitting the coating failure monitoring function, the correlation between coating performance and aging cycle is established. The aging cycle and potential failure risk of the coating to be diagnosed can be predicted based on the accumulated corrosion electricity of the coating to be diagnosed, thereby improving the maintenance and management efficiency of the coating and helping to timely discover and deal with potential corrosion problems.

[0037] 3) The present invention provides a coating failure monitoring and diagnosis method and system based on corrosion galvanic sensors. This solution is not only applicable to different types of organic coatings and metal materials, but can also flexibly adjust evaluation parameters and monitoring functions according to electrochemical impedance and corrosion current data under different aging cycles, thereby enhancing the breadth and practicability of the solution in practical applications and improving the adaptability requirements of coating evaluation under different environments and conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a method flow chart of an embodiment of the present invention;

[0039] Figure 2 3 is a coating failure monitoring function diagram according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0041] The present invention provides the following technical solution: a coating failure monitoring and diagnosis method and system based on corrosion galvanic sensor.

[0042] Example 1

[0043] See Figure 1 This embodiment provides a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor, and the specific steps include:

[0044] S1. Conduct electrochemical impedance tests on metal system samples covered with organic coatings at the original cycle and different aging cycles to obtain electrochemical low-frequency impedance values ​​at the original cycle and different aging cycles and corrosion current data of metal galvanic sensors under organic coatings;

[0045] The method further includes performing data cleaning on the electrochemical low-frequency impedance value, wherein the data cleaning includes processing missing values, abnormal values ​​and unifying the data format;

[0046] S2. Electrochemical impedance test is performed on the metal system samples covered with organic coating at the original cycle and different aging cycles using an electrochemical workstation, wherein the auxiliary electrode of the electrochemical workstation is a graphite electrode, the reference electrode is a saturated calomel electrode, and the working electrode is the metal system samples covered with organic coating at the original cycle and different aging cycles;

[0047] The electrochemical impedance test parameters are set according to the test requirements, wherein the test frequency ranges from 100kHz to 10mHz and the AC signal amplitude is 10mV; AC is applied to the metal system samples covered with the organic coating at the original cycle and different aging cycles, and the electrochemical low-frequency impedance values ​​at the original cycle and different aging cycles and the corrosion current data of the metal galvanic sensor under the organic coating are recorded;

[0048] In this embodiment, the electrochemical low-frequency impedance value of the metal system sample covered with the organic coating at 0.01 Hz and the corrosion current data of the metal galvanic sensor under the organic coating are shown in Table 1;

[0049] Table 1 Electrochemical low frequency impedance and corrosion current data at 0.01 Hz

[0050]

[0051]

[0052] S3, performing logarithmic transformation on the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles, and calculating the logarithmic difference of the electrochemical low-frequency impedance, which is expressed as:

[0053] S = log(E o )-log(E i ), i=1,2,...,N;

[0054] Where S represents the logarithmic difference of electrochemical low-frequency impedance; E o It represents the electrochemical low-frequency impedance value of the metal system sample covered with organic coating under the original cycle; E irepresents the electrochemical low-frequency impedance value of the metal system sample covered with an organic coating under the i-th aging cycle; i represents the index value of the i-th aging cycle; N represents the number of aging cycles;

[0055] S4. Obtaining corrosion accumulated electricity based on the corrosion current data;

[0056] S41, integrating the corrosion current data to obtain the corrosion accumulated electricity, which is expressed as:

[0057]

[0058] In the formula, q represents the accumulated corrosion electricity monitored by the metal galvanic sensor; t1 represents the start time of the electrochemical impedance test; t2 represents the end time of the electrochemical impedance test; I(t) represents the corrosion current data within the electrochemical impedance test time t; t represents the test time of the electrochemical impedance test;

[0059] S42, divide the test time into n-1 intervals, calculate the corrosion current data using the trapezoidal method, and obtain the corrosion accumulation quantity, which is expressed as:

[0060]

[0061] Where q represents the accumulated corrosion charge monitored by the metal galvanic sensor; I(t j ) represents the corrosion current in the jth interval; I(t j+1 ) represents the corrosion current in the j+1th interval; Δt represents the time change in the interval; represents the end time of the jth interval; represents the starting time of the jth interval; j represents the index value of the jth interval;

[0062] S5. For details, see Figure 2 , the coating failure monitoring function is fitted according to the electrochemical low-frequency impedance logarithmic difference and the corrosion accumulation charge, which is expressed as follows:

[0063] S=a(1-e -bq )+c;

[0064] Wherein, a represents the coefficient of the preset electrochemical low-frequency impedance logarithmic difference; b represents the preset attenuation factor; c represents the preset constant term; e -x represents the exponential function; x represents the input of the exponential function;

[0065] If the corrosion accumulation quantity q is within the preset corrosion quantity threshold, the exponential term e -bqconverges to 1, and S converges to c; it means that at the initial stage of corrosion, the logarithmic difference of electrochemical impedance changes within the preset range; if the corrosion accumulation charge q exceeds the preset corrosion charge threshold range, the exponential term e -bq converges to 0, and S converges to a+c; this means that when corrosion is severe, the logarithmic difference of electrochemical impedance reaches its maximum value;

[0066] The coating failure monitoring function in this embodiment can be found in Figure 2 ;

[0067] S6. Obtain the accumulated corrosion electricity of the metal system covered with the organic coating to be diagnosed, input the accumulated corrosion electricity of the metal system covered with the organic coating to be diagnosed into the coating failure monitoring function, and obtain the aging cycle of the metal system covered with the organic coating to be diagnosed.

[0068] Example 2

[0069] This embodiment provides a coating failure monitoring and diagnosis system based on a corrosion galvanic sensor, the system comprising a data acquisition module, a function fitting module, a failure diagnosis module and a result output module, wherein:

[0070] The data acquisition module is used to perform electrochemical impedance tests on metal system samples covered with organic coatings at original cycles and different aging cycles, obtain electrochemical low-frequency impedance values ​​at original cycles and different aging cycles, and corrosion current data of metal galvanic sensors under organic coatings; transmit the electrochemical low-frequency impedance values ​​and corrosion current data to the function fitting module;

[0071] The function fitting module is used to perform logarithmic transformation on the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles, calculate the logarithmic difference of the electrochemical low-frequency impedance; obtain the corrosion accumulation quantity based on the corrosion current data; and fit the coating failure monitoring function according to the logarithmic difference of the electrochemical low-frequency impedance and the corrosion accumulation quantity;

[0072] The failure diagnosis module is used to obtain the corrosion accumulation electricity of the metal system covered with organic coating to be diagnosed, input the corrosion accumulation electricity of the metal system covered with organic coating to be diagnosed into the coating failure monitoring function, and obtain the aging cycle of the metal system covered with organic coating to be diagnosed;

[0073] The result output module is used to display the aging cycle of the metal system covered with the organic coating to be diagnosed.

[0074] Example 3

[0075] This embodiment provides an electronic 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, a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor as described in any embodiment of the present invention is implemented.

[0076] Example 4

[0077] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor as described in any embodiment of the present invention is implemented.

[0078] It is worth noting that the system, electronic device and computer-readable storage medium described in the present invention are based on the same principles as the method described in Example 1, and will not be described in detail here.

[0079] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A coating failure monitoring and diagnosis method based on corrosion galvanic sensor, characterized in that: The method comprises: Electrochemical impedance tests were performed on metal system samples covered with organic coatings at the original cycle and different aging cycles to obtain electrochemical low-frequency impedance values ​​at the original cycle and different aging cycles as well as corrosion current data of metal galvanic sensors under organic coatings; Performing logarithmic transformation on the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles, and calculating the logarithmic difference of the electrochemical low-frequency impedance; obtaining the corrosion accumulation quantity based on the corrosion current data; and fitting the coating failure monitoring function according to the logarithmic difference of the electrochemical low-frequency impedance and the corrosion accumulation quantity; The accumulated corrosion electricity of the metal system covered with the organic coating to be diagnosed is obtained, and the accumulated corrosion electricity of the metal system covered with the organic coating to be diagnosed is input into the coating failure monitoring function to obtain the aging cycle of the metal system covered with the organic coating to be diagnosed.

2. A coating failure monitoring and diagnosis method based on corrosion galvanic sensor according to claim 1, characterized in that: The method also includes performing data cleaning on the electrochemical low-frequency impedance value, wherein the data cleaning includes processing missing values, abnormal values ​​and unifying data formats.

3. The coating failure monitoring and diagnosis method based on corrosion galvanic sensor according to claim 1 is characterized in that: Electrochemical impedance tests were performed on the metal system samples covered with organic coatings at the original cycle and different aging cycles using an electrochemical workstation, wherein the auxiliary electrode of the electrochemical workstation was a graphite electrode, the reference electrode was a saturated calomel electrode, and the working electrode was the metal system samples covered with organic coatings at the original cycle and different aging cycles; The electrochemical impedance test parameters are set according to the test requirements, where the test frequency ranges from 100 kHz to 10 mHz and the AC signal amplitude is 10 mV. AC current is applied to the metal system samples covered with organic coatings at the original cycle and different aging cycles, and the electrochemical low-frequency impedance values ​​at the original cycle and different aging cycles and the corrosion current data of the metal galvanic sensor under the organic coating are recorded.

4. The coating failure monitoring and diagnosis method based on corrosion galvanic sensor according to claim 1 is characterized in that: The electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles are logarithmically transformed, and the logarithmic difference of the electrochemical low-frequency impedance is calculated, which is expressed as follows: S=log(E o )-log(E i ),i=1,2,...,N; Where S represents the logarithmic difference of electrochemical low-frequency impedance; E o It represents the electrochemical low-frequency impedance value of the metal system sample covered with organic coating under the original cycle; E i represents the electrochemical low-frequency impedance value of the metal system sample covered with an organic coating under the i-th aging cycle; i represents the index value of the i-th aging cycle; N represents the number of aging cycles.

5. The coating failure monitoring and diagnosis method based on corrosion galvanic sensor according to claim 1 is characterized in that: Based on the corrosion current data, the corrosion accumulated electricity is obtained, wherein the corrosion current data is integrated to obtain the corrosion accumulated electricity, which is expressed as: Where q represents the accumulated corrosion charge monitored by the metal galvanic sensor; t1 represents the start time of the electrochemical impedance spectroscopy test; t2 represents the end time of the electrochemical impedance spectroscopy test; I(t) represents the corrosion current data within the electrochemical impedance spectroscopy test time t; and t represents the test time of the electrochemical impedance spectroscopy test.

6. The coating failure monitoring and diagnosis method based on corrosion galvanic sensor according to claim 1 is characterized in that: Based on the corrosion current data, the corrosion accumulated electricity is obtained, wherein the test time is divided into n-1 intervals, and the corrosion current data is calculated using the trapezoidal method to obtain the corrosion accumulated electricity, which is expressed as follows: Where q represents the accumulated corrosion charge monitored by the metal galvanic sensor; I(t j ) represents the corrosion current in the jth interval; I(t j+1 ) represents the corrosion current in the j+1th interval; Δt represents the time change in the interval; represents the end time of the jth interval; represents the starting time of the jth interval; j represents the index value of the jth interval.

7. A coating failure monitoring and diagnosis method based on a corrosion galvanic sensor according to claim 5 or 6, characterized in that: The coating failure monitoring function is fitted according to the electrochemical low-frequency impedance logarithmic difference and the corrosion accumulation quantity, and is expressed as follows: S=a(1-e -bq )+c; Wherein, a represents the coefficient of the preset electrochemical low-frequency impedance logarithmic difference; b represents the preset attenuation factor; c represents the preset constant term; e represents the preset constant term. -x represents the exponential function; x represents the input of the exponential function; If the corrosion accumulation quantity q is within the preset corrosion quantity threshold, the exponential term e -bq converges to 1, and S converges to c; it means that at the initial stage of corrosion, the logarithmic difference of electrochemical impedance changes within the preset range; if the corrosion accumulation charge q exceeds the preset corrosion charge threshold range, the exponential term e -bq It converges to 0, and S converges to a+c; it means that when the corrosion is severe, the difference in the logarithm of the electrochemical impedance reaches its maximum value.

8. A coating failure monitoring and diagnosis system based on corrosion galvanic sensor, characterized in that: The system includes a data acquisition module, a function fitting module, a failure diagnosis module and a result output module, wherein: The data acquisition module is used to perform electrochemical impedance tests on metal system samples covered with organic coatings at original cycles and different aging cycles, obtain electrochemical low-frequency impedance values ​​at original cycles and different aging cycles, and corrosion current data of metal galvanic sensors under organic coatings; transmit the electrochemical low-frequency impedance values ​​and corrosion current data to the function fitting module; The function fitting module is used to perform logarithmic transformation on the electrochemical low-frequency impedance values ​​under the original cycle and different aging cycles, calculate the logarithmic difference of the electrochemical low-frequency impedance; obtain the corrosion accumulation quantity based on the corrosion current data; and fit the coating failure monitoring function according to the logarithmic difference of the electrochemical low-frequency impedance and the corrosion accumulation quantity; The failure diagnosis module is used to obtain the corrosion accumulation electricity of the metal system covered with organic coating to be diagnosed, input the corrosion accumulation electricity of the metal system covered with organic coating to be diagnosed into the coating failure monitoring function, and obtain the aging cycle of the metal system covered with organic coating to be diagnosed; The result output module is used to display the aging cycle of the metal system covered with the organic coating to be diagnosed.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the coating failure monitoring and diagnosis method based on the corrosion galvanic sensor as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a coating failure monitoring and diagnosis method based on a corrosion galvanic sensor as described in any one of claims 1 to 7 is implemented.

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