Corrosion risk grading method and system for offshore wind power coating based on material environment

Abstract

The invention provides a corrosion risk grading method and system for an offshore wind power coating based on a material environment, and the method comprises the steps: collecting basic data of the offshore wind power coating, monitoring the real-time data of the offshore wind power coating, and forming a data set of the offshore wind power coating; on the basis of the data set, corrosion parameters are calculated according to a corrosion model of the offshore wind power coating; selecting part of the corrosion parameters, and establishing and forming a corrosion grading standard in combination with an offshore wind power database; based on part of the corrosion parameters of the offshore wind power coating, the corrosion risks of the offshore wind power coating are graded according to the corrosion grading standard, and the corrosion risk grade of the offshore wind power coating is obtained. According to the invention, a relatively comprehensive and systematized corrosion risk assessment process and mode are provided, real-time monitoring data and a scientific model are combined, the accuracy of corrosion risk assessment is improved, technical support is provided for maintenance of offshore wind power facilities, the service life of the offshore wind power facilities is prolonged, and the stability of the offshore wind power facilities is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of monitoring and maintenance of offshore wind power equipment coatings, and in particular relates to a corrosion risk grading method and system for offshore wind power coatings based on material environment. Background Art

[0002] With the rapid development of offshore wind power, the corrosion problem of offshore wind power equipment is becoming increasingly serious. In this environment, coating the outer surface of offshore wind power equipment has become an important means of protecting the equipment. Based on this, the corrosion risk assessment and classification of offshore wind power coatings are crucial to ensure the safe operation of the equipment. However, the current corrosion risk assessment methods for offshore wind power coatings often ignore the influence of factors such as material aging and environmental sensitivity, resulting in inaccurate assessment results, which makes it difficult to provide technical guidance for the effective implementation of subsequent protective measures.

[0003] As an improvement, some corrosion risk assessment methods are currently used to monitor the coating of offshore wind power equipment. At present, the coating of offshore wind power equipment is mainly graded and evaluated based on empirical formulas or simple physical models. However, the factors considered in this graded assessment are relatively single, such as only considering the thickness, resistivity and other parameters of the coating. It is usually impossible to accurately assess the impact of material aging and environmental sensitivity on corrosion risk, resulting in a large deviation between the assessment results and the actual situation. In addition, the current graded assessment of the coating of offshore wind power equipment may ignore the impact of material aging. Over time, the performance of the coating will gradually decline, but its corrosion risk has not been evaluated accordingly. Environmental sensitive factors such as the impact of changes in temperature, humidity, and salinity on corrosion risk are not fully considered. The graded assessment method is not accurate and comprehensive enough to meet the high requirements of offshore wind power equipment for corrosion protection. In summary, the current graded assessment method for the corrosion risk of the coating of offshore wind power equipment considers relatively single factors, resulting in a certain deviation between the assessment results and the actual situation. The graded assessment method is not accurate and comprehensive enough, which may affect the subsequent operation and maintenance quality of offshore wind power equipment. Summary of the invention

[0004] The present invention provides a corrosion risk grading method and system for offshore wind power coatings based on material environment, aiming to solve the problem that the current corrosion risk grading assessment method for coatings of offshore wind power equipment only considers a relatively single factor, resulting in a certain deviation between the assessment result and the actual situation, and the grading assessment method is not accurate and comprehensive enough, which may affect the subsequent operation and maintenance quality of offshore wind power equipment.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme:

[0006] The present invention provides a corrosion risk classification method for offshore wind power coatings based on material environment, comprising the following steps:

[0007] S1. Collect basic data of offshore wind power coatings based on offshore wind power database, obtain real-time data of offshore wind power coatings through real-time monitoring, and combine to form a data set of offshore wind power coatings;

[0008] S2. Based on the data set of offshore wind power coating, the corrosion parameters of offshore wind power coating are calculated according to the corrosion model of offshore wind power coating;

[0009] S3. Select some parameters of the corrosion parameters of offshore wind power coatings and establish a corrosion classification standard in combination with the offshore wind power database;

[0010] S4. Based on some parameters of the corrosion parameters of the offshore wind power coating, the corrosion risk of the offshore wind power coating is graded according to the corrosion classification standard to obtain the corrosion risk level of the offshore wind power coating.

[0011] In some embodiments, in S1, the basic data includes material properties and usage time of the offshore wind power coating retrieved from an offshore wind power database.

[0012] Further, in S1, sensors are installed in corresponding areas of the offshore wind power coating to monitor the thickness and environmental sensitive parameters of the offshore wind power coating in real time;

[0013] Among them: environmental sensitive parameters include temperature, humidity and salinity.

[0014] In some embodiments, in S2, the corrosion model of the offshore wind power coating specifically adopts the following formula (1):

[0015]

[0016] in, is the rate of change of ferrous ion concentration with time, is the ferrous ion concentration, k a is the anodic reaction rate constant, k c is the cathode reaction rate constant, is the diffusion coefficient of ferrous ions, R coat is the coating resistance, C dl is the double layer capacitance, is the ion diffusion term, ρ is the resistivity of the coating, d is the coating thickness, A is the coating area, ε is the dielectric constant, and d dl is the thickness of the double layer, f age (t) is the function of material aging over time, g env (T,H,S,p H ) is the function of the environmental factors affecting the coating resistance, T is temperature, H is humidity, S is salinity, p is H is pH, hage (t) is the function of the effect of material aging on the double layer capacitance, k env (T,H,S,p H ) is the function of the environmental factors affecting the double layer capacitance, l age (t) is the function of the effect of material aging on ion diffusion, m env (T,H,S,p H ) is a function of the effect of environmental factors on ion diffusion.

[0017] Furthermore, in S2, the corrosion model of offshore wind power coating is used to solve the anode reaction rate constant k a and the cathode reaction rate constant k c , combined with other parameters of the corrosion model of offshore wind power coating, according to Faraday's law, the corrosion current density is calculated by the following formula (2):

[0018]

[0019] Among them, i corr is the corrosion current density, n is the number of electrons transferred in the anodic reaction, and F is the Faraday constant.

[0020] Furthermore, in S2, the corrosion rate is calculated by the following formula (3):

[0021]

[0022] Among them, v corr is the corrosion rate and M is the molar mass of the metal.

[0023] In some embodiments, in S3, some of the corrosion parameters of the offshore wind power coating include corrosion current density, corrosion rate, and coating resistance.

[0024] In some embodiments, S3 specifically includes: taking corrosion current density, corrosion rate and coating resistance as key evaluation indicators, and dividing the numerical range of each key evaluation indicator in combination with the standards of offshore wind power coatings; and dividing the levels into extremely low risk, low risk, medium risk, high risk and extremely high risk based on the numerical range.

[0025] In some embodiments, S3 further includes: adjusting the threshold of each risk level numerical range in the corrosion classification standard according to the real-time data of the coating.

[0026] The present invention also provides a corrosion risk grading system for offshore wind power coatings based on material environment, including a coating corrosion data acquisition module, a coating corrosion parameter calculation module and a coating corrosion risk grading module; wherein:

[0027] The coating corrosion data acquisition module is used to collect basic data and real-time data of offshore wind power coatings;

[0028] The coating corrosion parameter calculation module is used to calculate the corrosion parameters of offshore wind power coatings based on basic data and real-time data through the corrosion model of offshore wind power coatings;

[0029] The coating corrosion risk grading module is used to establish corrosion grading standards and grade the corrosion risk of offshore wind power coatings based on some parameters of the corrosion parameters of offshore wind power coatings.

[0030] Compared with the prior art, the present invention provides a corrosion risk classification method and system for offshore wind power coatings based on material environment, which has the following beneficial effects:

[0031] The present invention provides a corrosion risk grading method for offshore wind power coatings based on material environment, comprising the following steps: S1, collecting basic data of offshore wind power coatings based on offshore wind power database, obtaining real-time data of offshore wind power coatings through real-time monitoring, and combining to form a data set of offshore wind power coatings; S2, based on the data set of offshore wind power coatings, calculating the corrosion parameters of offshore wind power coatings according to the corrosion model of offshore wind power coatings; S3, selecting some parameters in the corrosion parameters of offshore wind power coatings, and establishing a corrosion grading standard in combination with the offshore wind power database; S4, based on some parameters in the corrosion parameters of offshore wind power coatings, grading the corrosion risk of offshore wind power coatings according to the corrosion grading standard, and obtaining the corrosion risk level of offshore wind power coatings. Based on the above, the present invention collects basic data and real-time monitoring data of offshore wind power coatings, calculates the corrosion parameters of coatings in combination with the set corrosion model, and establishes a corrosion grading standard based on the corrosion parameters of coatings, and finally grades the corrosion risk of coatings based on the standard, so as to formulate and implement corresponding protective measures according to the corrosion risk grading results, and regularly evaluate and adjust the effects of protective measures to ensure that the corrosion risk of coatings is effectively controlled. The method of the present invention provides a relatively comprehensive and systematic corrosion risk assessment process and method, which combines real-time monitoring data and scientific models to improve the accuracy of corrosion risk assessment, provide technical support for the maintenance and management of offshore wind power facilities, and help to formulate targeted anti-corrosion measures to improve the service life and stability of offshore wind power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings in the specification are used to provide further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0033] Figure 1 The present invention is a flow chart of a corrosion risk classification method for offshore wind power coatings based on material environment and a method in the system. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0035] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0037] In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. indicate an orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use, it is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0038] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", which does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0039] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0040] How to provide a grading and assessment method to accurately assess the corrosion risk of offshore wind power coatings throughout their life cycle and provide technical support for corrosion protection of offshore wind power equipment.

[0041] like Figure 1 As shown, the present invention provides a corrosion risk classification method for offshore wind power coatings based on material environment, comprising the following steps:

[0042] S1. Collect basic data of offshore wind power coatings based on offshore wind power database, obtain real-time data of offshore wind power coatings through real-time monitoring, and combine to form a data set of offshore wind power coatings;

[0043] S2. Based on the data set of offshore wind power coating, the corrosion parameters of offshore wind power coating are calculated according to the corrosion model of offshore wind power coating;

[0044] S3. Select some parameters of the corrosion parameters of offshore wind power coatings and establish a corrosion classification standard in combination with the offshore wind power database;

[0045] S4. Based on some parameters of the corrosion parameters of the offshore wind power coating, the corrosion risk of the offshore wind power coating is graded according to the corrosion classification standard to obtain the corrosion risk level of the offshore wind power coating.

[0046] The present invention collects and samples data of offshore wind power coatings in real time, establishes an accurate corrosion model, calculates parameters based on the corrosion model, and can comprehensively consider the impact of material aging and environmental sensitivity factors on corrosion risk. By determining a reasonable corrosion risk classification standard, the corrosion risk level of the coating can be accurately assessed. Furthermore, based on the risk level, effective protective measures can be proposed for subsequent maintenance of offshore wind power equipment. According to the corrosion risk classification results, corresponding protective measures can be taken to ensure that the corrosion risk of the coating is effectively controlled.

[0047] In some embodiments, the present invention installs sensors in the corresponding areas of the coating to monitor the thickness of the coating and environmental sensitive parameters (such as temperature, humidity, and salinity) in real time. Through real-time monitoring, changes in the coating state can be discovered in time, which makes it possible to take anti-corrosion measures in time. The present invention takes into account the impact of various environmental factors on coating corrosion and improves the comprehensiveness of the assessment. Combined with the material properties and usage time of the coating retrieved from the database as basic data, the present invention uses the collected and collected data as an important basis for evaluating the performance and expected life of the coating, and provides a data basis for subsequent corrosion risk assessment. Coatings of different materials and different usage times have different corrosion characteristics. The present invention makes the corrosion risk classification of offshore wind power coatings more accurate by designing this personalized assessment.

[0048] In some embodiments, the present invention takes into account multiple factors such as ion diffusion, coating resistance, environmental factors, etc., and establishes a corrosion model that can more accurately simulate the corrosion process of the coating. The model can predict the corrosion trend of the coating and provide technical support for the long-term maintenance of offshore wind power equipment.

[0049] Furthermore, the present invention uses the corrosion model to solve the anode and cathode reaction rate constants, and calculates the corrosion current density in combination with Faraday's law. Corrosion current density is a key parameter for evaluating corrosion rate, and its accuracy directly affects the results of corrosion risk assessment. By calculating the corrosion current density, a quantitative evaluation of the corrosion rate is achieved. The present invention sets a formula to calculate the corrosion rate based on the corrosion current density and the molar mass of the metal. The corrosion rate directly reflects the speed at which the coating is corroded, and is an important indicator for evaluating the performance and service life of the coating, providing a basis for making decisions on anti-corrosion measures and replacing the coating.

[0050] In some embodiments, the present invention selects corrosion current density, corrosion rate and coating resistance as key evaluation indicators, divides the numerical range of each indicator in combination with the standards of offshore wind power coatings, and divides the corrosion risk level based on these ranges. The present invention establishes a standardized corrosion classification standard to make the corrosion risk assessment more standardized. By dividing the risk level, the assessment results are more intuitive and helpful for subsequent maintenance. Furthermore, based on the numerical range of corrosion parameters, the present invention divides five levels of extremely low risk, low risk, medium risk, high risk and extremely high risk. Different risk levels correspond to different corrosion conditions, which helps to timely discover and warn potential corrosion risks. For different risk levels, more targeted anti-corrosion measures can be formulated.

[0051] Preferably, the corrosion risk grading method for offshore wind power coatings based on the material environment of the present invention appropriately reduces the index threshold corresponding to each risk level as the aging time increases. For example, after a certain aging time, the index range that originally belonged to low risk may be adjusted to medium risk. For harsh environmental conditions (such as high temperature, high humidity, high salinity, etc.), the index threshold of the risk level is also lowered. Combined with the actual situation, the preliminary grading standards are comprehensively adjusted and improved to ensure that the grading standards are reasonable and operational.

[0052] Based on the above method, the present invention provides a corrosion risk grading system for offshore wind power coatings based on material environment, including a coating corrosion data acquisition module, a coating corrosion parameter calculation module and a coating corrosion risk grading module; wherein: the coating corrosion data acquisition module is used to acquire basic data and real-time data of the offshore wind power coating; the coating corrosion parameter calculation module is used to calculate the corrosion parameters of the offshore wind power coating based on the basic data and real-time data through the corrosion model of the offshore wind power coating; the coating corrosion risk grading module is used to establish a corrosion grading standard, and based on some parameters of the corrosion parameters of the offshore wind power coating, grade the corrosion risk of the offshore wind power coating.

[0053] The corrosion risk grading system of the present invention realizes the automated assessment of corrosion risk and improves the efficiency and accuracy of the assessment. The system integrates the functions of data acquisition, parameter calculation and risk assessment, provides comprehensive corrosion risk grading and processing, and can adapt to the assessment of corrosion risks in different scenarios and needs.

[0054] The corrosion risk classification method and system of offshore wind power coatings based on material environment of the present invention are further described in detail below through specific embodiments.

[0055] The present invention collects relevant data of offshore wind power coatings, including material properties and service life of the coatings, etc. Sensors are installed to monitor environmental sensitive parameters and thickness in real time, such as temperature, humidity, salinity, etc.

[0056] In the present invention, the influence of temperature: the increase in temperature will accelerate the rate of corrosion reaction, because the increase in temperature will increase the activity and diffusion rate of chemical reactions. In addition, changes in temperature will also cause thermal expansion and contraction of the coating, thereby affecting the adhesion and integrity of the coating. The influence of humidity: a high humidity environment will promote the occurrence of corrosion, because moisture will form a water film on the surface of the coating, providing electrolytes for the corrosion reaction. At the same time, changes in humidity will also cause stress inside the coating, thereby affecting the performance of the coating. The influence of salt: the salt in seawater contains a variety of corrosive ions, such as chloride ions, which will destroy the passivation film of the coating and accelerate the progress of corrosion. In addition, salt will also be deposited on the surface of the coating to form corrosion products, further aggravating the degree of corrosion. The influence of other environmental factors: in addition to temperature, humidity and salinity, offshore wind power equipment will also be affected by environmental factors such as ultraviolet rays and marine life, which will also have a certain impact on the corrosion of the coating.

[0057] The present invention takes into account material aging and environmental sensitivity factors, establishes a corrosion model based on the collected data, and determines the coating material aging parameters and environmental sensitivity parameters. The corrosion model of the offshore wind power coating of the present invention is as follows:

[0058]

[0059] Among them, among them, is the rate of change of ferrous ion concentration with time, is the ferrous ion concentration, k a is the anodic reaction rate constant, k c is the cathode reaction rate constant, is the diffusion coefficient of ferrous ions. This item comprehensively considers the influence of coating resistance and double layer capacitance on the corrosion process, where R coat is the coating resistance, C dl is the double layer capacitance. When the coating resistance increases or the double layer capacitance decreases, the value of this term decreases, thereby slowing down the corrosion rate. Ion diffusion term Describes the effect of ion transport in the coating on corrosion. ρ is the resistivity of the coating, d is the coating thickness, and A is the coating area. ε is the dielectric constant, d dl is the thickness of the double layer. age (t) is a function describing the time-dependent aging of the material, g env (T,H,S,p H ) is used to describe environmental factors (temperature T, humidity H, salinity S, pH p H ) is a function of the effect of the coating resistance. age (t) is the function of the effect of material aging on the double layer capacitance, k env (T,H,S,p H ) is a function of the effect of environmental factors on the double layer capacitance. age (t) is a function of the effect of material aging on ion diffusion, m env (T,H,S,p H ) is a function of the effect of environmental factors on ion diffusion.

[0060] Specifically, f age (t),g env (T,H,S,p H ),h age (t),k env (T,H,S,p H ),l age (t),m env (T,H,S,p H ) These six influence functions can be further optimized by using actual data based on the empirical formula. Function f of material aging changing with time age The empirical formula of (t) is in exponential or polynomial form. Function of the effect of environmental factors on coating resistance g env (T,H,S,p H ) is in linear or power function form. Function h of the effect of material aging on double layer capacitanceage The empirical formula of (t) is in logarithmic or exponential form. The function k of the effect of environmental factors on double layer capacitance env (T,H,S,p H ) is in multivariate linear form or product form. Function of the effect of material aging on ion diffusion age The empirical formula of (t) is in the form of power function or piecewise function. The function m of the effect of environmental factors on ion diffusion env (T,H,S,p H ) is in exponential form or quadratic polynomial form.

[0061] The present invention uses the corrosion model to solve the anode reaction rate constant k a and the cathode reaction rate constant k c , and other related parameters. According to Faraday's law, the corrosion current density i corr It can be calculated as:

[0062]

[0063] Where n is the number of electrons transferred in the anodic reaction and F is the Faraday constant. The corrosion rate v is then calculated by the following formula corr :

[0064]

[0065] Where M is the molar mass of the metal. The rate of change of the ferrous ion concentration over time is related to the concentration of the coating. Ion loss leads to a decrease in mass. Therefore, the molar mass of the metal is derived based on the rate of change of the ferrous ion concentration over time.

[0066] Establish corrosion risk classification standards.

[0067] According to the calculation results of the corrosion model, the corrosion risk of offshore wind power coatings is graded. Based on the calculation results of the corrosion model, corrosion current density, corrosion rate, coating resistance, etc. are selected as key evaluation indicators. According to experimental data, field monitoring data and relevant standards, the value range of each key indicator is divided. The following classification standards are used:

[0068] Corrosion current density in μA / cm 2 The unit is mm / year, the unit of corrosion rate is mm / year, and the unit of coating resistance is Ω·cm 2 As unit.

[0069] Very low risk: corrosion current density is less than 5; corrosion rate is less than 0.05; coating resistance is greater than 1500. Low risk: corrosion current density is between 5-15; corrosion rate is between 0.05-0.15; coating resistance is between 1000-1500. Medium risk: corrosion current density is between 15-30; corrosion rate is between 0.15-0.3; coating resistance is between 500-1000. High risk: corrosion current density is between 30-50; corrosion rate is between 0.3-0.5; coating resistance is between 200-500. Very high risk: corrosion current density is greater than 50; corrosion rate is greater than 0.5; coating resistance is less than 200.

[0070] By collecting and calculating the parameters, the corrosion risk of the coating is graded based on the corrosion risk classification standard, and then protective measures are recommended; specifically:

[0071] Very low risk: Perform regular visual inspections 1-2 times a year. Maintain normal cleaning and maintenance. Low risk: Perform detailed non-destructive testing, such as coating thickness measurement and adhesion testing, every six months. Strengthen monitoring of environmental factors, such as humidity, temperature and salinity. Medium risk: Perform non-destructive testing once a quarter. Repair minor local defects in a timely manner. Consider using enhancers or sealants for anti-corrosion coatings. High risk: Perform inspections once a month, including non-destructive testing and possible destructive testing sample analysis. Repair or repaint damaged coatings over larger areas. Install a cathodic protection system or take other proactive anti-corrosion measures. Very high risk: Consider immediately shutting down the equipment for comprehensive testing and evaluation. Completely refurbish or replace the coating. Conduct in-depth analysis of the causes of severe corrosion and adjust anti-corrosion strategies and environmental control measures.

[0072] In summary, the present invention provides a corrosion risk classification method and system for offshore wind power coatings based on material environment. The method significantly improves the accuracy and real-time performance of corrosion risk assessment by combining the evaluation process with real-time monitoring data and corrosion models. The present invention makes the evaluation results more accurate through corrosion classification standards and a flexible threshold adjustment mechanism. It realizes real-time monitoring and early warning of corrosion risks, provides a strong guarantee for the long-term safe operation of offshore wind power equipment, and has good practical significance.

[0073] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the specification and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. Corrosion risk classification method for offshore wind power coatings based on material environment, It is characterized in that The steps include: S1. Collect basic data of offshore wind power coatings based on offshore wind power database, obtain real-time data of offshore wind power coatings through real-time monitoring, and combine to form a data set of offshore wind power coatings; S2. Based on the data set of offshore wind power coating, the corrosion parameters of offshore wind power coating are calculated according to the corrosion model of offshore wind power coating; S3. Select some parameters of the corrosion parameters of offshore wind power coatings and establish a corrosion classification standard in combination with the offshore wind power database; S4. Based on some parameters of the corrosion parameters of the offshore wind power coating, the corrosion risk of the offshore wind power coating is graded according to the corrosion classification standard to obtain the corrosion risk level of the offshore wind power coating.

2. According to the material environment-based corrosion risk classification method for offshore wind power coatings according to claim 1, It is characterized in that In S1, the basic data includes the material properties and usage time of the offshore wind power coating retrieved from the offshore wind power database.

3. According to the corrosion risk classification method of offshore wind power coating based on material environment according to claim 2, It is characterized in that In S1, sensors are installed in corresponding areas of the offshore wind power coating to monitor the thickness and environmental sensitive parameters of the offshore wind power coating in real time; Wherein: the environmental sensitive parameters include temperature, humidity and salinity.

4. The corrosion risk classification method for offshore wind power coatings based on material environment according to claim 1, It is characterized in that In S2, the corrosion model of the offshore wind power coating specifically adopts the following formula (1): in, is the rate of change of ferrous ion concentration with time, is the ferrous ion concentration, k a is the anodic reaction rate constant, k c is the cathode reaction rate constant, is the diffusion coefficient of ferrous ions, R coat is the coating resistance, C dl is the double layer capacitance, is the ion diffusion term, ρ is the resistivity of the coating, d is the coating thickness, A is the coating area, ε is the dielectric constant, and d dl is the double layer thickness, f age (t) is the function of material aging over time, g env (T, H, S, p H ) is the function of the environmental factors affecting the coating resistance, T is temperature, H is humidity, S is salinity, p is H is pH, h age (t) is the function of the effect of material aging on the double layer capacitance, k env (T, H, S, p H ) is the function of the environmental factors affecting the double layer capacitance, l age (t) is the function of the effect of material aging on ion diffusion, m env (T, H, S, p H ) is a function of the effect of environmental factors on ion diffusion.

5. According to the corrosion risk classification method of offshore wind power coating based on material environment according to claim 4, It is characterized in that In S2, the corrosion model of offshore wind power coating is used to solve the anode reaction rate constant k a and the cathode reaction rate constant k c , combined with other parameters of the corrosion model of offshore wind power coating, according to Faraday's law, the corrosion current density is calculated by the following formula (2): Among them, i corr is the corrosion current density, n is the number of electrons transferred in the anodic reaction, and F is the Faraday constant.

6. The corrosion risk classification method for offshore wind power coatings based on material environment according to claim 5, It is characterized in that In S2, the corrosion rate is calculated by the following formula (3): Among them, v corr is the corrosion rate and M is the molar mass of the metal.

7. The corrosion risk classification method for offshore wind power coatings based on material environment according to claim 1, It is characterized in that In S3, some of the corrosion parameters of the offshore wind power coating include corrosion current density, corrosion rate and coating resistance.

8. The corrosion risk classification method for offshore wind power coatings based on material environment according to claim 1, It is characterized in that Specifically, S3 is: taking corrosion current density, corrosion rate and coating resistance as key evaluation indicators, and dividing the numerical range of each key evaluation indicator in combination with the standards for offshore wind power coatings; and dividing the levels into extremely low risk, low risk, medium risk, high risk and extremely high risk based on the numerical range.

9. The corrosion risk classification method for offshore wind power coatings based on material environment according to claim 1, It is characterized in that The S3 also includes: adjusting the threshold of each risk level numerical range in the corrosion classification standard according to the real-time data of the coating.

10. A corrosion risk grading system based on the corrosion risk grading method of offshore wind power coating based on material environment as claimed in any one of claims 1 to 9, It is characterized in that It includes coating corrosion data acquisition module, coating corrosion parameter calculation module and coating corrosion risk classification module; among which: The coating corrosion data acquisition module is used to acquire basic data and real-time data of offshore wind power coatings; The coating corrosion parameter calculation module is used to calculate the corrosion parameters of the offshore wind power coating based on the basic data and the real-time data through the corrosion model of the offshore wind power coating; The coating corrosion risk grading module is used to establish a corrosion grading standard and to grade the corrosion risk of the offshore wind power coating based on some parameters of the corrosion parameters of the offshore wind power coating.

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