Corrosion monitoring and evaluating method and device for storage environment

Abstract

The invention discloses a corrosion monitoring and evaluating method and device for a storage environment. The method comprises the following steps: acquiring a corrosion monitoring information set of the storage environment; the corrosion monitoring information set comprises a resistance ratio sequence, a corroded quantity sequence, a quartz crystal oscillation frequency value sequence, an electrochemical impedance module value sequence, a wettability sequence and a corrosion rate value sequence; performing data preprocessing on the corrosion monitoring information set to obtain a preprocessed corrosion monitoring information set; and performing corrosion monitoring evaluation processing on the preprocessed corrosion monitoring information set to obtain corrosion monitoring evaluation result information.

Description

Technical Field

[0001] The invention relates to the field of corrosion monitoring, and in particular to a method and device for corrosion monitoring and evaluation of a storage environment. Background Art

[0002] Material reserves are a key link in ensuring the smooth progress of work, and they play an irreplaceable role in material support during various operations. The corrosion of metal materials in the atmosphere is often caused by alternating dry and wet climates, adsorption of polluted gases, and deposition of salt particles. Corrosion monitoring technology aims to intuitively understand the corrosion process, explore the corrosion mechanism, and then control the corrosion process to minimize the damage it causes. Therefore, online corrosion monitoring technology should have the following characteristics: in-situ non-destructive monitoring, high sensitivity, long-term stable operation, simple collection process, etc., in order to accurately evaluate the corrosion rate and morphology of materials and realize automated management of industrial sites.

[0003] In the storage environment, atmospheric corrosion monitoring technology currently relies mainly on traditional temperature and humidity measurement or galvanic current monitoring between dissimilar metals, and fails to fully consider the synergistic effects of multiple atmospheric factors on the material corrosion initiation process. In addition, there is a lack of sufficient attention to the condensation process caused by atmospheric pollutants, salt particle precipitation, and temperature and humidity alternation, as well as the influencing mechanism of metal corrosion. Galvanic current measurement technology is easily affected by condensation, and the measurement error is large, which reduces the accuracy of corrosion monitoring. Therefore, simply controlling the temperature and humidity in the storage environment cannot effectively prevent the corrosion of key components of the equipment. In order to achieve zero corrosion in the storage environment, highly sensitive corrosion sensors are required to conduct real-time online monitoring of the air quality and salt spray precipitation in the sealed environment. Summary of the invention

[0004] The present invention mainly solves the problems of low accuracy and limited sensitivity in the existing corrosion monitoring of storage environments. The present invention discloses a corrosion monitoring and evaluation method and device for a storage environment.

[0005] In a first aspect of the embodiment of the present application, a corrosion monitoring and evaluation method for a storage environment is disclosed, comprising:

[0006] S1, obtaining a set of corrosion monitoring information of a storage environment; the set of corrosion monitoring information includes a resistance ratio sequence, a corrosion amount sequence, a quartz crystal frequency value sequence, an electrochemical impedance modulus value sequence, a wettability sequence, and a corrosion rate value sequence;

[0007] The resistance ratio sequence, corrosion amount sequence, and quartz crystal frequency sequence are respectively the measurement results of the resistance ratio of the material test arm and the reference arm, the thickness corrosion amount, and the quartz crystal frequency change value measured by the corrosion sensor;

[0008] S2, performing data preprocessing on the corrosion monitoring information set to obtain a preprocessed corrosion monitoring information set;

[0009] S3, performing corrosion monitoring and evaluation processing on the pre-processed corrosion monitoring information set to obtain corrosion monitoring and evaluation result information.

[0010] The electrochemical impedance modulus value sequence is measured by a wetting time sensor;

[0011] The electrochemical impedance modulus value sequence is obtained by inputting sinusoidal waves of different frequencies into the wetting time sensor to obtain the electrode surface impedance at each frequency, and using the electrode surface impedance modulus values ​​of all frequencies to construct the electrochemical impedance modulus value sequence.

[0012] The wetness sequence is measured by a wetting time sensor.

[0013] The performing data preprocessing on the corrosion monitoring information set to obtain the preprocessed corrosion monitoring information set includes:

[0014] S21, performing data cleaning processing on the corrosion monitoring information set to obtain a first data set;

[0015] S22, performing time registration processing on the first data set to obtain a second data set;

[0016] S23, performing pattern checking processing on the second data set to obtain a preprocessed corrosion monitoring information set.

[0017] The performing pattern checking processing on the second data set to obtain a preprocessed corrosion monitoring information set includes:

[0018] S231, for each type of data attribute of the second data set, using data collection information of the data as an independent variable and data values ​​of the data as a dependent variable, filter modeling is performed to obtain regression models of the data attributes of each type;

[0019] S232, using the regression model, calculating and processing the independent variable to obtain a regression data value; determining whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than a set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, deleting the data from the second data set; if it is less than or equal to the first regression discrimination threshold, not processing the data;

[0020] S233, fusing all data of the second data set after executing S231 to S232 to obtain a preprocessed corrosion monitoring information set.

[0021] The performing corrosion monitoring and evaluation processing on the pre-processed corrosion monitoring information set to obtain corrosion monitoring and evaluation result information includes:

[0022] S31, performing structural corrosion assessment processing on the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set to obtain a structural corrosion monitoring assessment value;

[0023] S32, performing rate corrosion evaluation processing on the corrosion rate value sequence in the pre-processed corrosion monitoring information set to obtain a rate corrosion monitoring evaluation value;

[0024] S33, performing impedance corrosion evaluation processing on the electrochemical impedance modulus value sequence and the wettability sequence in the pre-processed corrosion monitoring information set to obtain an impedance corrosion monitoring evaluation value;

[0025] S34, performing weighted sum processing on the structural corrosion monitoring assessment value, the rate corrosion monitoring assessment value and the impedance corrosion monitoring assessment value to obtain corrosion monitoring assessment result information.

[0026] The step of performing structural corrosion assessment processing on the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set to obtain a structural corrosion monitoring assessment value includes:

[0027] S311, constructing a monitoring matrix using the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set; the row vector of the monitoring matrix is ​​the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence;

[0028] S312, obtaining a resistance ratio standard value sequence, a corrosion standard quantity sequence, and a frequency standard value sequence; constructing a standard matrix using the resistance ratio standard value sequence, the corrosion standard quantity sequence, and the frequency standard value sequence; the row vector of the standard matrix includes the resistance ratio standard value sequence, the corrosion standard quantity sequence, and the frequency standard value sequence;

[0029] S313, performing difference calculation processing on the monitoring matrix and the standard matrix to obtain a difference value sequence;

[0030] S314, subtracting the monitoring matrix from the standard matrix to obtain a deviation matrix;

[0031] S315, performing deviation vector calculation processing on the deviation matrix to obtain a deviation vector;

[0032] S316, performing logarithmic weighted calculation processing on the difference value sequence and the deviation vector to obtain a structural corrosion monitoring assessment value;

[0033] The difference calculation process includes:

[0034]

[0035] Among them, b i is the i-th item of the difference value sequence, t1 is a preset constant value, M is the column dimension of the monitoring matrix, x ij is the element of the i-th row and j-th column of the monitoring matrix, y ij is the element in the i-th row and j-th column of the standard matrix;

[0036] The deviation vector calculation process includes:

[0037] Performing matrix decomposition processing on the deviation matrix to obtain a feature matrix;

[0038] Determine the diagonal vector of the characteristic matrix as the deviation vector;

[0039] The logarithmic weighted calculation process comprises:

[0040]

[0041] Among them, a1 is the structural corrosion monitoring assessment value, Q is the row dimension of the monitoring matrix, and c i is the i-th element of the deviation vector.

[0042] The step of performing impedance corrosion evaluation processing on the electrochemical impedance modulus sequence and the wettability sequence in the pre-processed corrosion monitoring information set to obtain an impedance corrosion monitoring evaluation value includes:

[0043] S331, performing high-order cross-spectrum calculation processing on the electrochemical impedance modulus sequence and the wettability sequence to obtain a high-order cross-cumulant set; the high-order cross-cumulant set includes a first cross-cumulant RXY 34 , the second mutual accumulation amount RXY 56 and the third cross-cumulant RXY 78 ;

[0044] The expression for the high-order cross-spectrum calculation process is:

[0045]

[0046] Wherein, FFT represents fast Fourier transform processing, x(n) is the nth item of the electrochemical impedance modulus value sequence, y(n) is the nth item of the wettability sequence, and N is the length of the electrochemical impedance modulus value sequence;

[0047] S332, performing impedance corrosion evaluation calculation on the high-order mutual cumulative quantity set to obtain an impedance corrosion monitoring evaluation value; the expression of the impedance corrosion evaluation calculation is:

[0048]

[0049] Wherein, a2 represents the impedance corrosion monitoring evaluation value, and L3() represents the third-order Legendre polynomial.

[0050] In a second aspect of an embodiment of the present invention, a corrosion monitoring and evaluation device for a storage environment is disclosed, the device comprising:

[0051] A memory storing executable program code;

[0052] a processor coupled to the memory;

[0053] The processor calls the executable program code stored in the memory to execute the corrosion monitoring and evaluation method for the storage environment.

[0054] According to a third aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the corrosion monitoring and evaluation method for a storage environment.

[0055] According to a fourth aspect of the embodiments of the present invention, an information data processing terminal is disclosed, and the information data processing terminal is used to implement the corrosion monitoring and evaluation method of the storage environment.

[0056] The beneficial effects of the present invention are:

[0057] The present invention solves the problems of low accuracy and limited sensitivity in the existing corrosion monitoring of storage environments. The present invention measures a resistance ratio sequence, a corrosion amount sequence, a quartz crystal frequency value sequence, an electrochemical impedance modulus value sequence, a wettability sequence, and a corrosion rate value sequence, and through comprehensive analysis and evaluation of the above measurement value sets, a comprehensive evaluation of the corrosion monitoring of the storage environment is achieved, thereby improving the comprehensiveness and accuracy of the evaluation effect.

[0058] In the comprehensive evaluation process of corrosion monitoring of storage environment, the present invention divides the measured values ​​into three categories, and establishes different evaluation models for each category of measured values, thereby ensuring the accuracy of the evaluation results.

[0059] The present invention introduces a wetting time sensor into corrosion monitoring, and obtains an electrochemical impedance modulus sequence and a wettability sequence through measurement, thereby overcoming the problem that the measurement technology based on galvanic current is easily affected by condensation and has large measurement errors, thereby improving the adaptability of the measurement scene and further expanding the scene of corrosion assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 1 is a flow chart for implementing the method of the present invention;

[0061] Figure 2 This is the schematic diagram of the composition of the wetting time sensor. DETAILED DESCRIPTION

[0062] In order to better understand the content of the present invention, an embodiment is given here.

[0063] Figure 1 1 is a flow chart for implementing the method of the present invention; Figure 2 This is the schematic diagram of the composition of the wetting time sensor.

[0064] In view of the problems of low accuracy and limited sensitivity in the existing corrosion monitoring of storage environments, the present invention discloses a corrosion monitoring and evaluation method and device for a storage environment.

[0065] In a first aspect of the embodiment of the present application, a corrosion monitoring and evaluation method for a storage environment is disclosed, comprising:

[0066] S1, obtaining a set of corrosion monitoring information of a storage environment; the set of corrosion monitoring information includes a resistance ratio sequence, a corrosion amount sequence, a quartz crystal frequency value sequence, an electrochemical impedance modulus value sequence, a wettability sequence, and a corrosion rate value sequence;

[0067] The resistance ratio sequence, corrosion amount sequence, and quartz crystal frequency sequence are respectively the measurement results of the resistance ratio of the material test arm and the reference arm, the thickness corrosion amount, and the quartz crystal frequency change value measured by the corrosion sensor;

[0068] S2, performing data preprocessing on the corrosion monitoring information set to obtain a preprocessed corrosion monitoring information set;

[0069] S3, performing corrosion monitoring and evaluation processing on the pre-processed corrosion monitoring information set to obtain corrosion monitoring and evaluation result information.

[0070] The electrochemical impedance modulus value sequence is measured by a wetting time sensor;

[0071] The electrochemical impedance modulus value sequence is obtained by inputting sinusoidal waves of different frequencies into the wetting time sensor to obtain the electrode surface impedance at each frequency, and using the electrode surface impedance modulus values ​​of all frequencies to construct the electrochemical impedance modulus value sequence.

[0072] The wetness sequence is measured by a wetting time sensor.

[0073] The performing data preprocessing on the corrosion monitoring information set to obtain the preprocessed corrosion monitoring information set includes:

[0074] S21, performing data cleaning processing on the corrosion monitoring information set to obtain a first data set;

[0075] S22, performing time registration processing on the first data set to obtain a second data set;

[0076] S23, performing pattern checking processing on the second data set to obtain a preprocessed corrosion monitoring information set;

[0077] The performing pattern checking processing on the second data set to obtain a preprocessed corrosion monitoring information set includes:

[0078] S231, for each type of data attribute of the second data set, using data collection information of the data as an independent variable and data values ​​of the data as a dependent variable, filter modeling is performed to obtain regression models of the data attributes of each type;

[0079] S232, using the regression model, calculating and processing the independent variable to obtain a regression data value; determining whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than a set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, deleting the data from the second data set; if it is less than or equal to the first regression discrimination threshold, not processing the data;

[0080] S233, performing fusion processing on all data of the second data set after executing S231 to S232 to obtain a preprocessed corrosion monitoring information set;

[0081] The performing corrosion monitoring and evaluation processing on the pre-processed corrosion monitoring information set to obtain corrosion monitoring and evaluation result information includes:

[0082] S31, performing structural corrosion assessment processing on the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set to obtain a structural corrosion monitoring assessment value;

[0083] S32, performing rate corrosion evaluation processing on the corrosion rate value sequence in the pre-processed corrosion monitoring information set to obtain a rate corrosion monitoring evaluation value;

[0084] S33, performing impedance corrosion evaluation processing on the electrochemical impedance modulus value sequence and the wettability sequence in the pre-processed corrosion monitoring information set to obtain an impedance corrosion monitoring evaluation value;

[0085] S34, performing weighted sum processing on the structural corrosion monitoring assessment value, the rate corrosion monitoring assessment value and the impedance corrosion monitoring assessment value to obtain corrosion monitoring assessment result information;

[0086] The step of performing structural corrosion assessment processing on the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set to obtain a structural corrosion monitoring assessment value includes:

[0087] S311, constructing a monitoring matrix using the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set; the row vector of the monitoring matrix is ​​the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence;

[0088] S312, obtaining a resistance ratio standard value sequence, a corrosion standard quantity sequence, and a frequency standard value sequence; constructing a standard matrix using the resistance ratio standard value sequence, the corrosion standard quantity sequence, and the frequency standard value sequence; the row vector of the standard matrix includes the resistance ratio standard value sequence, the corrosion standard quantity sequence, and the frequency standard value sequence;

[0089] S313, performing difference calculation processing on the monitoring matrix and the standard matrix to obtain a difference value sequence;

[0090] S314, subtracting the monitoring matrix from the standard matrix to obtain a deviation matrix;

[0091] S315, performing deviation vector calculation processing on the deviation matrix to obtain a deviation vector;

[0092] S316, performing logarithmic weighted calculation processing on the difference value sequence and the deviation vector to obtain a structural corrosion monitoring assessment value;

[0093] The difference calculation process includes:

[0094]

[0095] Among them, b i is the i-th item of the difference value sequence, t1 is a preset constant value, M is the column dimension of the monitoring matrix, x ij is the element of the i-th row and j-th column of the monitoring matrix, y ij is the element in the i-th row and j-th column of the standard matrix;

[0096] The deviation vector calculation process includes:

[0097] Performing matrix decomposition processing on the deviation matrix to obtain a feature matrix;

[0098] Determine the diagonal vector of the characteristic matrix as the deviation vector;

[0099] The logarithmic weighted calculation process comprises:

[0100]

[0101] Among them, a1 is the structural corrosion monitoring assessment value, Q is the row dimension of the monitoring matrix, and c i is the i-th element of the deviation vector;

[0102] The step of performing impedance corrosion evaluation processing on the electrochemical impedance modulus sequence and the wettability sequence in the pre-processed corrosion monitoring information set to obtain an impedance corrosion monitoring evaluation value includes:

[0103] S331, performing high-order cross-spectrum calculation processing on the electrochemical impedance modulus sequence and the wettability sequence to obtain a high-order cross-cumulant set; the high-order cross-cumulant set includes a first cross-cumulant RXY 34 , the second mutual accumulation amount RXY 56 and the third cross-cumulant RXY 78 ;

[0104] The expression for the high-order cross-spectrum calculation process is:

[0105]

[0106] Wherein, x(n) is the nth item of the electrochemical impedance modulus value sequence, y(n) is the nth item of the wettability sequence, and N is the length of the electrochemical impedance modulus value sequence;

[0107] S332, performing impedance corrosion evaluation calculation on the high-order mutual cumulative quantity set to obtain an impedance corrosion monitoring evaluation value; the expression of the impedance corrosion evaluation calculation is:

[0108]

[0109] Wherein, a2 represents the impedance corrosion monitoring evaluation value, and L3() represents the third-order Legendre polynomial.

[0110] The performing rate corrosion evaluation processing on the corrosion rate value sequence in the pre-processed corrosion monitoring information set to obtain a rate corrosion monitoring evaluation value includes:

[0111] Performing time-frequency feature statistical processing on the corrosion rate value sequence to obtain a set of time-frequency statistical feature quantities; the set of time-frequency statistical feature quantities includes mean, variance, average rise time, harmonic mean, fluidity value, and average derivative;

[0112] Performing a rate corrosion evaluation calculation on the time-frequency statistical feature quantity set to obtain a rate corrosion monitoring evaluation value;

[0113] The expression for the rate corrosion evaluation calculation is:

[0114]

[0115] Among them, a3 represents the rate corrosion monitoring assessment value, μ represents the mean, σ represents the variance, t0 represents the average rise time, f0 represents the harmonic mean, χ0 represents the fluidity value, ρ represents the average derivative, and exp represents the power operation of the constant e;

[0116] The corrosion monitoring information set of the storage environment is obtained by measuring the corrosion monitoring sensors arranged in the storage environment.

[0117] The value of t1 may be 0.5.

[0118] The decomposition process is calculated as follows:

[0119] Y=UAV,

[0120] Among them, U is the left decomposition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, A is a diagonal matrix, and Y is the deviation matrix;

[0121] The decomposition process can be implemented by using a matrix singular value decomposition algorithm.

[0122] The average rise time is the average rise time of all amplitudes of the corrosion rate value sequence;

[0123] The harmonic mean is the mean of all harmonic frequencies of the FFT sequence of the corrosion rate value sequence;

[0124] The fluidity value is the square root of the variance of the first derivative of the corrosion rate value sequence divided by the variance of the corrosion rate value sequence;

[0125] The average derivative is the average value of the derivative of each point in the corrosion rate value sequence;

[0126] The weight vector used for weighted summation of the structural corrosion monitoring evaluation value, the rate corrosion monitoring evaluation value and the impedance corrosion monitoring evaluation value may be 0.5, 0.2, or 0.3;

[0127] The filtering modeling may adopt linear autoregressive filtering or α-β filtering;

[0128] The data collection information is a data sequence number value or a data collection time value or a frequency value corresponding to the data;

[0129] The time registration process is to unify different types of data to the same time reference; the time registration process can adopt the internal push / extrapolation method, the Lagrange three-point interpolation method, etc.;

[0130] The data cleaning process includes filling missing values, smoothing noise data, and smoothing or deleting outliers; the smoothed noise data is obtained by first determining the noise data, and then smoothing the noise data according to the data before and after the noise data; the noise data is a value whose value is less than the detection sensitivity of the sensor of the observed data, or greater than the measurement upper limit of the sensor of the observed data. The outlier point can be determined by the Kalman filter method. The filling value of the missing value can be determined by averaging the measured values ​​within a certain sampling interval before and after the missing value.

[0131] The resistance ratio sequence, corrosion amount sequence, and quartz crystal frequency value sequence are measurement results of the measurement medium of the corrosion sensor, such as the resistance value, corrosion amount, and quartz crystal frequency value of a flat resistance probe.

[0132] The corrosion monitoring and evaluation result information is used to characterize the severity of equipment corrosion in a storage environment. The larger the value, the more serious the equipment corrosion.

[0133] The resistance ratio, corrosion amount, quartz crystal frequency and corrosion rate can be measured by a corrosion sensor.

[0134] The corrosion rate calculation method includes: for the flat-plate resistance probe sensitive element, the corrosion rate calculation expression includes:

[0135]

[0136] λ=Rx / Rf=Lx*wf*df / Lf*wx*dx

[0137] Among them, the resistance ratio of the probe is λ, Lx, wx, dx are the length, width and thickness of the exposed plate (corrosion plate), and Lf, wf, df are the length, width and thickness of the built-in plate (protected reference plate). Considering that the width of the inner and outer plates is consistent, that is, wx=wf, and will not change during the entire measurement process, and the length of the inner and outer plates will not change over time, we have:

[0138]

[0139] Then the remaining thickness of the metal sheet at time t is:

[0140]

[0141] The corrosion rate at time t is:

[0142]

[0143] Where CR is the corrosion rate, dt and λt represent the remaining thickness and resistance ratio at time t, respectively.

[0144] The electrode surface impedance is measured by a wetting time sensor; sine waves of different frequencies are input into the wetting time sensor to obtain the electrode surface impedance at each frequency, and a wetness sequence is constructed using the electrode surface impedances of all frequencies;

[0145] The Time of wetness (TOW) sensor is based on a thin-film comb electrode made of a gold-plated metal sheet or corroded metal material. When dirt or condensation occurs on the surface of the comb electrode, a thin liquid film will form on the surface of the comb double electrode, causing its high-frequency impedance to decrease. By regularly measuring the impedance changes on the surface of the comb electrode, the atmospheric wetness and condensation of the sealed space can be monitored. By comparing with air corrosion data, it helps to clarify the influence of the wet time on the atmospheric corrosion of metals in the sealed area.

[0146] The wetting time sensor is controlled by STM32 microcontroller and measures the electrode surface impedance based on the constant frequency AC impedance principle. The gold-plated thin film comb electrode is used as the wetness sensor. When condensation occurs on the surface of the comb electrode, the high-frequency impedance between the comb electrodes will decrease. By regularly measuring the impedance change on the surface of the comb electrodes, the curve of surface condensation changing with time in the outdoor atmosphere or artificial climate chamber can be monitored in real time.

[0147] The signal excitation of the wetting time sensor is generated by a 16-bit D / A to generate a sine wave signal of a certain frequency, and is loaded into the corrosion monitoring probe through an operational amplifier. The signal input end uses a high input impedance instrument amplifier as a voltage follower and pre-current amplifier. The potential and current signal channels are respectively integrated with second-order LPF low-pass filters, which effectively eliminate power frequency interference and environmental noise. The monitoring device also uses automatic current range and DC bias compensation circuit, with a high signal-to-noise ratio. The instrument firmware has a built-in correlation integration algorithm, which can calculate the impedance of the electrode at any frequency. The composition schematic diagram of the wetting time sensor is shown in the figure below. Figure 2 shown.

[0148] In a second aspect of an embodiment of the present invention, a corrosion monitoring and evaluation device for a storage environment is disclosed, the device comprising:

[0149] A memory storing executable program code;

[0150] a processor coupled to the memory;

[0151] The processor calls the executable program code stored in the memory to execute the corrosion monitoring and evaluation method for the storage environment.

[0152] According to a third aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the corrosion monitoring and evaluation method for a storage environment.

[0153] According to a fourth aspect of the embodiments of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the corrosion monitoring and evaluation method of the storage environment.

[0154] The above is only the embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A corrosion monitoring and evaluation method for a storage environment, characterized in that: include: S1, obtaining a set of corrosion monitoring information of a storage environment; the set of corrosion monitoring information includes a resistance ratio sequence, a corrosion amount sequence, a quartz crystal frequency value sequence, an electrochemical impedance modulus value sequence, a wettability sequence, and a corrosion rate value sequence; The resistance ratio sequence, corrosion amount sequence, and quartz crystal frequency sequence are respectively the measurement results of the resistance ratio of the material test arm and the reference arm, the thickness corrosion amount, and the quartz crystal frequency change value measured by the corrosion sensor; S2, performing data preprocessing on the corrosion monitoring information set to obtain a preprocessed corrosion monitoring information set; S3, performing corrosion monitoring and evaluation processing on the pre-processed corrosion monitoring information set to obtain corrosion monitoring and evaluation result information.

2. The corrosion monitoring and evaluation method for storage environment according to claim 1, characterized in that: The electrochemical impedance modulus value sequence is measured by a wetting time sensor; The electrochemical impedance modulus value sequence is obtained by inputting sinusoidal waves of different frequencies into the wetting time sensor to obtain the electrode surface impedance at each frequency, and using the electrode surface impedance modulus values ​​of all frequencies to construct the electrochemical impedance modulus value sequence. The wetness sequence is measured by a wetting time sensor.

3. The corrosion monitoring and evaluation method for storage environment according to claim 1, characterized in that: The performing data preprocessing on the corrosion monitoring information set to obtain the preprocessed corrosion monitoring information set includes: S21, performing data cleaning processing on the corrosion monitoring information set to obtain a first data set; S22, performing time registration processing on the first data set to obtain a second data set; S23, performing pattern checking processing on the second data set to obtain a preprocessed corrosion monitoring information set.

4. The corrosion monitoring and evaluation method for storage environment according to claim 3, characterized in that: The performing pattern checking processing on the second data set to obtain a preprocessed corrosion monitoring information set includes: S231, for each type of data attribute of the second data set, using data collection information of the data as an independent variable and data values ​​of the data as a dependent variable, filter modeling is performed to obtain regression models of the data attributes of each type; S232, using the regression model, calculating and processing the independent variable to obtain a regression data value; determining whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than a set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, deleting the data from the second data set; if it is less than or equal to the first regression discrimination threshold, not processing the data; S233, fusing all data of the second data set after executing S231 to S232 to obtain a preprocessed corrosion monitoring information set.

5. The corrosion monitoring and evaluation method for storage environment according to claim 4, characterized in that: The performing corrosion monitoring and evaluation processing on the pre-processed corrosion monitoring information set to obtain corrosion monitoring and evaluation result information includes: S31, performing structural corrosion assessment processing on the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set to obtain a structural corrosion monitoring assessment value; S32, performing rate corrosion evaluation processing on the corrosion rate value sequence in the pre-processed corrosion monitoring information set to obtain a rate corrosion monitoring evaluation value; S33, performing impedance corrosion evaluation processing on the electrochemical impedance modulus value sequence and the wettability sequence in the pre-processed corrosion monitoring information set to obtain an impedance corrosion monitoring evaluation value; S34, performing weighted sum processing on the structural corrosion monitoring assessment value, the rate corrosion monitoring assessment value and the impedance corrosion monitoring assessment value to obtain corrosion monitoring assessment result information.

6. The corrosion monitoring and evaluation method for storage environment according to claim 5, characterized in that: The step of performing structural corrosion assessment processing on the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set to obtain a structural corrosion monitoring assessment value includes: S311, constructing a monitoring matrix using the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence in the pre-processed corrosion monitoring information set; the row vector of the monitoring matrix is ​​the resistance ratio sequence, the corrosion amount sequence, and the quartz crystal oscillator frequency value sequence; S312, obtaining a resistance ratio standard value sequence, a corrosion standard quantity sequence, and a frequency standard value sequence; constructing a standard matrix using the resistance ratio standard value sequence, the corrosion standard quantity sequence, and the frequency standard value sequence; the row vector of the standard matrix includes the resistance ratio standard value sequence, the corrosion standard quantity sequence, and the frequency standard value sequence; S313, performing difference calculation processing on the monitoring matrix and the standard matrix to obtain a difference value sequence; S314, subtracting the monitoring matrix from the standard matrix to obtain a deviation matrix; S315, performing deviation vector calculation processing on the deviation matrix to obtain a deviation vector; S316, performing logarithmic weighted calculation processing on the difference value sequence and the deviation vector to obtain a structural corrosion monitoring assessment value; The difference calculation process includes: Among them, b i is the i-th item of the difference value sequence, t1 is a preset constant value, M is the column dimension of the monitoring matrix, x ij is the element of the i-th row and j-th column of the monitoring matrix, y ij is the element in the i-th row and j-th column of the standard matrix; The deviation vector calculation process includes: Performing matrix decomposition processing on the deviation matrix to obtain a feature matrix; Determine the diagonal vector of the characteristic matrix as the deviation vector; The logarithmic weighted calculation process comprises: Among them, a1 is the structural corrosion monitoring assessment value, Q is the row dimension of the monitoring matrix, and c i is the i-th element of the deviation vector.

7. The corrosion monitoring and evaluation method for storage environment according to claim 6, characterized in that: The step of performing impedance corrosion evaluation processing on the electrochemical impedance modulus sequence and the wettability sequence in the pre-processed corrosion monitoring information set to obtain an impedance corrosion monitoring evaluation value includes: S331, performing high-order cross-spectrum calculation processing on the electrochemical impedance modulus sequence and the wettability sequence to obtain a high-order cross-cumulant set; the high-order cross-cumulant set includes a first cross-cumulant RXY 34 , the second mutual accumulation amount RXY 56 and the third cross-cumulant RXY 78 ; The expression for the high-order cross-spectrum calculation process is: Wherein, FFT represents fast Fourier transform processing, x(n) is the nth item of the electrochemical impedance modulus value sequence, y(n) is the nth item of the wettability sequence, and N is the length of the electrochemical impedance modulus value sequence; S332, performing impedance corrosion evaluation calculation on the high-order mutual cumulative quantity set to obtain an impedance corrosion monitoring evaluation value; the expression of the impedance corrosion evaluation calculation is: Wherein, a2 represents the impedance corrosion monitoring evaluation value, and L3() represents the third-order Legendre polynomial.

8. A corrosion monitoring and evaluation device for a storage environment, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the corrosion monitoring and evaluation method for a storage environment as described in any one of claims 1 to 7.

9. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the corrosion monitoring and evaluation method for a storage environment as described in any one of claims 1 to 7.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the corrosion monitoring and evaluation method for a storage environment as described in any one of claims 1 to 7.

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