A method and system for life cycle assessment of marine navigation mark coatings

Abstract

The present invention relates to the technical field of coating analysis and evaluation, and specifically to a method and system for evaluating the life cycle of a marine beacon coating. The method of the present invention comprises the following steps: acquiring image information of the beacon coating, and obtaining a first evaluation index of the coating according to the image information; constructing a coating capacitance equivalent model, and obtaining a second evaluation index of the coating using the coating capacitance equivalent model; obtaining a coating life cycle index by combining the first evaluation index of the coating and the second evaluation index of the coating; constructing a coating failure model based on the coating life cycle index, and calculating the life coefficient of the coating through the coating failure model; and calculating the remaining life cycle of the marine beacon coating using the life coefficient. The present invention solves the problem of efficiently and accurately predicting the remaining life cycle of the beacon coating by constructing a coating life cycle index and then calculating the life coefficient of the coating, and finally predicting the remaining life cycle of the coating, thereby improving maintenance efficiency and saving maintenance costs.

Description

Technical Field

[0001] The present invention relates to the technical field of coating analysis and evaluation, and in particular to a method and system for evaluating the life cycle of a marine navigation mark coating. Background Art

[0002] A maritime beacon refers to a light buoy on the coastal sea. It is an important aid to navigation in the field of navigation. It is usually made of steel and has a high load-bearing capacity and stability. It is used to mark the range of waterways, indicate shoals, obstacles or indicate special purposes.

[0003] The buoy is used in highly corrosive seawater for a long time. The coating can effectively isolate the direct contact between seawater and steel, slow down the corrosion rate of steel, and thus extend the service life of the buoy. In order to ensure the normal operation of the buoy, the coating needs to be maintained regularly. However, whether the coating needs to be maintained is currently determined based on the periodic maintenance regulations of the navigation mark management agency and on-site manual experience. The maintenance cost is extremely high and the efficiency is low. Therefore, evaluating the remaining life of the navigation mark coating is a good solution to effectively determine whether the coating needs maintenance. Summary of the invention

[0004] In view of the shortcomings of existing methods and the needs of practical applications, in order to improve the efficiency of coating maintenance, save maintenance costs, and solve the problem of efficiently and accurately predicting the remaining life cycle of navigation mark coatings. On the one hand, the present invention provides a method for life cycle assessment of marine navigation mark coatings, comprising the following steps:

[0005] Acquire image information of the navigation mark coating, and obtain a first evaluation index of the coating according to the image information; construct a coating capacitance equivalent model, and use the coating capacitance equivalent model to obtain a second evaluation index of the coating; combine the first evaluation index of the coating and the second evaluation index of the coating to obtain a coating life cycle index; construct a coating failure model based on the coating life cycle index, and calculate the coating life coefficient through the coating failure model; use the life coefficient to calculate the remaining life cycle of the marine navigation mark coating.

[0006] The present invention identifies the image information of the coating and uses the electrochemical AC impedance spectroscopy method to construct a coating life cycle index and then obtain the coating life coefficient, and then uses the life coefficient to solve the remaining life cycle of the marine navigation mark coating, which effectively solves the problem of efficiently and accurately predicting the remaining life cycle of the navigation mark coating, is conducive to timely detection and replacement of aging coatings, and prevents the occurrence of unexpected failure events. It also helps to reasonably arrange maintenance plans, avoid excessive maintenance or insufficient maintenance, further improve maintenance efficiency, and save maintenance costs. Through timely maintenance and replacement of coatings, the service life of the navigation mark can also be extended, the frequency of navigation mark replacement due to coating failure can be reduced, the overall operating cost can be further reduced, and the economic benefit can be maximized.

[0007] Optionally, obtaining a first evaluation index of the coating according to the image information comprises the following steps:

[0008] Failure characteristics of the coating are identified from the image information, the failure characteristics include blistering characteristics, rusting characteristics, cracking characteristics, paint peeling characteristics, powdering characteristics and corrosion characteristics; based on the failure characteristics, the failure degree of the coating is obtained, the failure degree includes blistering degree, rusting degree, cracking degree, paint peeling degree, powdering degree and corrosion degree; according to the failure degree, the first evaluation index of the coating is obtained. The present invention comprehensively characterizes the failure degree of various failure characteristics, obtains the first evaluation index of the coating, accurately describes the aging degree of the coating, and is conducive to the final calculation of the coating life cycle index.

[0009] Optionally, the failure degree of the coating is obtained based on the failure characteristics, satisfying the following formula:

[0010] ,in, Indicates the degree of failure of the coating. represents the number of failure features, Indicates The diameter of the failure feature, Indicates The area of ​​the failure feature, Indicates the coating area in the image information, Indicates The distance from the center of a failure feature to the centers of other failure features;

[0011] According to the failure degree, a first evaluation index of the coating is obtained, which satisfies the following formula:

[0012] ,in, It represents the first evaluation index of coating. Indicates The weight of the failure characteristics, Indicates The present invention uses a formula model to objectively quantify the failure characteristics, and then performs a weighted analysis on each failure characteristic, objectively reflecting the aging degree of the coating.

[0013] Optionally, the constructing of the coating capacitance equivalent model and obtaining the second evaluation index of the coating by using the coating capacitance equivalent model comprises the following steps:

[0014] The impedance of the coating above water and the impedance of the coating below water of the navigation mark are obtained respectively; based on the impedance of the coating above water and the impedance of the coating below water, a coating capacitance equivalent model is constructed, and a coating comprehensive capacitance coefficient is generated by the coating capacitance equivalent model; and a second evaluation index of the coating is obtained by using the coating comprehensive capacitance coefficient. The present invention obtains the coating comprehensive capacitance coefficient of the coating above water and the coating below water according to the electrochemical alternating current impedance spectroscopy method, which is further conducive to accurately obtaining the coating life cycle index.

[0015] Optionally, based on the above-water coating impedance and the underwater coating impedance, a coating capacitance equivalent model is constructed, and a coating comprehensive capacitance coefficient is generated by the coating capacitance equivalent model, which satisfies the following formula:

[0016] ,in, represents the comprehensive capacitance coefficient of the coating, represents the initial capacitance of the navigation mark coating, represents the initial impedance of the beacon coating, Indicates the thickness of the coating on water, represents the impedance of the coating on water, represents the dielectric constant of the coating on water, represents the coating area above water, represents the underwater coating area, represents the underwater coating impedance, Indicates the underwater coating thickness, The present invention constructs a coating capacitance equivalent model by combining actual impedance with the actual situation of the navigation mark, and can accurately analyze the situation of each navigation mark, thereby improving the accuracy of the present invention.

[0017] Optionally, the second evaluation index of the coating is obtained by using the comprehensive capacitance coefficient of the coating, which satisfies the following formula:

[0018] ,in, It represents the second evaluation index of coating. represents the comprehensive capacitance coefficient of the coating, represents the initial capacitance of the navigation mark coating, Indicates the dielectric constant of water. The present invention objectively reflects the internal information of the coating through the specific second evaluation index of the coating, which is conducive to accurately obtaining the remaining life of the coating.

[0019] Optionally, the first evaluation index of the coating and the second evaluation index of the coating are combined to obtain a coating life cycle index that satisfies the following formula:

[0020] ,in, Represents the coating life cycle indicator, , , represents the simulation coefficient, It represents the first evaluation index of coating. The present invention utilizes a simulation system to combine the first evaluation index of the coating with the second evaluation index of the coating, which can effectively and accurately reflect the coating life cycle.

[0021] Optionally, the coating failure model constructed based on the coating life cycle indicator satisfies the following formula:

[0022] ,in, express Coating failure coefficient after years, Indicates the degree of corrosion in the marine environment. represents the base of natural logarithms, Indicates coating life cycle indicator;

[0023] The life coefficient of the coating is calculated by the coating failure model, and satisfies the following formula:

[0024] ,in, Indicates Years coating life factor, express Coating failure coefficient after years, Indicates The life factor of the coating in years and the initial life factor of the coating The present invention obtains the coating failure coefficient corresponding to the navigation mark according to the corrosion degree of different marine environments, which further improves the accuracy of the present invention.

[0025] Optionally, the use of the life coefficient to calculate the remaining life cycle of the marine navigation mark coating includes the following steps:

[0026] The life coefficient threshold is set; the coating failure coefficient is solved by using the life coefficient threshold, thereby obtaining the remaining life cycle of the marine navigation mark coating. The present invention solves the coating failure coefficient by using a preset life coefficient threshold to obtain the coating failure coefficient of the corresponding years, thereby obtaining the remaining life cycle of the marine navigation mark coating.

[0027] In the second aspect, in order to efficiently execute the marine beacon coating life cycle assessment method provided by the present invention, the present invention also provides a marine beacon coating life cycle assessment system, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the marine beacon coating life cycle assessment method as described in the first aspect of the present invention. The marine beacon coating life cycle assessment system of the present invention has a compact structure and stable performance, and can stably execute the marine beacon coating life cycle assessment method provided by the present invention, further improving the overall applicability and practical application capabilities of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flow chart of a method for life cycle assessment of marine navigation mark coatings provided by an embodiment of the present invention;

[0029] Figure 2 A framework diagram of a marine navigation mark coating life cycle assessment system provided by an embodiment of the present invention;

[0030] Figure 3 A schematic structural diagram of a marine navigation mark coating life cycle assessment device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0032] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0033] See also Figure 1In order to solve the problem of efficiently and accurately predicting the remaining life cycle of navigation mark coatings, the present invention provides a method for evaluating the life cycle of marine navigation mark coatings, such as Figure 1 As shown, the method comprises the following steps:

[0034] S1. Acquire image information of a navigation mark coating, and obtain a first evaluation index of the coating according to the image information.

[0035] In an embodiment, the image information of the navigation mark coating can be obtained by remotely controlling a drone equipped with a high-definition camera, and can also be obtained through regular manual inspections.

[0036] Further, obtaining a first evaluation index of the coating according to the image information comprises the following steps:

[0037] S11. Identifying failure features of the coating from the image information, wherein the failure features include blistering features, rusting features, cracking features, paint peeling features, powdering features, and corrosion features.

[0038] First, the obtained image information is preprocessed, including using filters (such as Gaussian filtering, median filtering) to remove noise in the image and improve image quality; adjusting the contrast of the image to make the coating features more obvious; and color standardization is also required to ensure color consistency;

[0039] Next, the corresponding characteristics of coating blistering, coating rusting, coating cracking, coating peeling, coating powdering and coating corrosion can be effectively identified by using contrast enhancement, filtering, threshold segmentation, morphological processing, feature extraction and classification.

[0040] Contrast enhancement means that during the image extraction process, due to the lighting method, the grayscale difference between the target to be identified and the entire surface background in the original image is small, and the grayscale range is also small, so the contrast is low. The more widely used contrast enhancement methods, namely grayscale normalization and histogram equalization, are used to enhance the contrast of photos with different background light intensities, thereby enhancing the processing capabilities of later images.

[0041] Filtering refers to the inevitable introduction of various electronic noises in the image acquisition process. Frequency filtering, including Fourier transform filtering, discrete cosine transform filtering and wavelet transform filtering, is used to filter the image to reduce noise.

[0042] Threshold segmentation refers to the binarization threshold processing after obtaining the filtered image, using global / local optimized threshold segmentation to automatically determine the optimal threshold for defect images of different complexity, so as to appropriately extract defect information.

[0043] Morphological processing refers to the refinement of defects, using closed operations to connect adjacent objects and connect the areas segmented by thresholds in binary images. For example, a crack defect is incorrectly segmented due to a low grayscale value at a certain location, resulting in a crack being separated into multiple line segments. At the same time, some defects in the image are large, such as a large crack width. After subsequent edge detection, the two edges of a straight line are far apart, and the straight line extraction algorithm will mistakenly treat the same line as two parallel cracks.

[0044] Feature extraction and classification refers to feature extraction, which refers to using a computer to extract defect image information and determine whether each image point belongs to an image feature. The result of feature extraction is to divide the points on the image into different subsets, which often belong to isolated points, continuous curves or continuous areas. After the defect image is processed, the defect features in the detected image are extracted through the feature extraction algorithm in the image processing computer, such as color features, texture features, shape features and spatial relationship features, and then the support vector machine algorithm is selected to classify them and conduct a comprehensive analysis to distinguish the types of defects, such as blistering, rusting, cracking, paint peeling, powdering and corrosion.

[0045] S12. Based on the failure characteristics, the failure degree of the coating is obtained, where the failure degree includes the degree of blistering, the degree of rusting, the degree of cracking, the degree of paint peeling, the degree of powdering and the degree of corrosion.

[0046] Specifically, based on the failure characteristics, the failure degree of the coating is obtained, satisfying the following formula:

[0047] ,

[0048] in, Indicates the degree of failure of the coating. represents the number of failure features, Indicates The diameter of the failure feature, Indicates The area of ​​the failure feature, Indicates the coating area in the image information, Indicates The distance from the center of a failure feature to the centers of other failure features.

[0049] S13. Obtaining a first evaluation index of the coating according to the failure degree.

[0050] Specifically, according to the failure degree, a first evaluation index of the coating is obtained, which satisfies the following formula:

[0051] ,

[0052] in, It represents the first evaluation index of coating. Indicates The weight of the failure characteristics, Indicates The failure degree of a failure characteristic.

[0053] Further, The weights of the failure characteristics can be determined based on experimental data and the similarities between the failure characteristics, including the following steps:

[0054] Acquire multiple experimental data, where the experimental data is the failure degree of each failure feature obtained from the navigation beacon coating under different conditions;

[0055] The machine learning algorithm is used to obtain the weight of the failure feature in combination with the failure degree.

[0056] S2. Construct a coating capacitance equivalent model, and use the coating capacitance equivalent model to obtain a second evaluation index of the coating.

[0057] In the embodiment, step S2 constructs a coating capacitance equivalent model, and uses the coating capacitance equivalent model to obtain a second evaluation index of the coating, including the following steps:

[0058] S21, respectively obtaining the above-water coating impedance and underwater coating impedance of the navigation mark.

[0059] Electrochemical impedance spectroscopy is used to obtain the impedance of the water coating and the underwater coating of the navigation mark. Electrochemical impedance spectroscopy, also known as frequency response analysis, is an important electrochemical testing technology. This method applies a small amplitude AC sinusoidal potential wave with different frequencies to the electrochemical system as a disturbance signal, and measures the corresponding current or potential response generated by the system to obtain an impedance spectrum, and finally obtains the impedance value from the impedance spectrum analysis.

[0060] S22. Based on the above-water coating impedance and the underwater coating impedance, a coating capacitance equivalent model is constructed, and a coating comprehensive capacitance coefficient is generated through the coating capacitance equivalent model.

[0061] Specifically, based on the above-water coating impedance and the underwater coating impedance, a coating capacitance equivalent model is constructed, and the coating comprehensive capacitance coefficient is generated by the coating capacitance equivalent model, which satisfies the following formula:

[0062] ,

[0063] in, represents the comprehensive capacitance coefficient of the coating, represents the initial capacitance of the navigation mark coating, represents the initial impedance of the beacon coating, Indicates the thickness of the coating on water, represents the impedance of the coating on water, represents the dielectric constant of the coating on water, represents the coating area above water, represents the underwater coating area, represents the underwater coating impedance, Indicates the underwater coating thickness, Represents the dielectric constant of underwater coating.

[0064] S23. Using the comprehensive capacitance coefficient of the coating, obtain a second evaluation index of the coating.

[0065] In the embodiment, the comprehensive capacitance coefficient of the coating is used to obtain the second evaluation index of the coating, which satisfies the following formula:

[0066] ,

[0067] in, It represents the second evaluation index of coating. represents the comprehensive capacitance coefficient of the coating, represents the initial capacitance of the beacon coating, Represents the dielectric constant of water.

[0068] S3. Combining the first evaluation index of the coating and the second evaluation index of the coating to obtain a coating life cycle index.

[0069] In an embodiment, the first evaluation index of the coating and the second evaluation index of the coating are combined in step S3 to obtain a coating life cycle index that satisfies the following formula:

[0070] ,

[0071] in, Represents the coating life cycle indicator, , , represents the simulation coefficient, It represents the first evaluation index of coating. It represents the second evaluation index of the coating, and the simulation coefficient is obtained by regression analysis of experimental data. It should be understood that in a good environment, the service life of the coating is much longer than the service life of the buoy, so there is no need to consider the natural failure factor of the coating itself.

[0072] S4. Constructing a coating failure model based on the coating life cycle indicator, and calculating the coating life coefficient through the coating failure model.

[0073] Specifically, the coating failure model constructed based on the coating life cycle indicator satisfies the following formula:

[0074] ,

[0075] in, express Coating failure coefficient after years, Indicates the degree of corrosion in the marine environment. represents the base of natural logarithms, Represents coating life cycle indicator.

[0076] According to the different characteristics of the marine environment, marine environmental corrosion is divided into three levels: I, II, and III, corresponding to .

[0077] Level I marine atmospheric corrosion is mainly distributed in coastal areas within 1 nautical mile of the coastline in my country, including coastal areas and islands. This level of marine atmospheric corrosion is mainly affected by marine salt spray and marine meteorology, and the corrosion rate is relatively low;

[0078] Level II marine atmospheric corrosion is mainly distributed in coastal areas of my country 1-10 nautical miles away from the coastline. This level of marine atmospheric corrosion is affected by the combined effects of marine salt spray, marine meteorology and marine climate, and has a medium corrosion rate;

[0079] Level III marine atmospheric corrosion is mainly distributed in coastal areas of my country, 10-50 nautical miles away from the coastline. This level of marine atmospheric corrosion is affected by the combined influence of marine salt spray, marine meteorology, marine climate and marine pollutants, and has a high corrosion rate.

[0080] In addition, based on long-term observation data, a more detailed classification of marine atmospheric corrosion levels in specific areas was carried out. These levels are based on environmental factors such as temperature, humidity, salt spray concentration in different regions and the corrosion behavior of materials in this environment.

[0081] The life coefficient of the coating is calculated by the coating failure model, and satisfies the following formula:

[0082] ,

[0083] in, Indicates Years coating life factor, express Coating failure coefficient after years, Indicates The life factor of the coating in years and the initial life factor of the coating .

[0084] S5. Calculate the remaining life cycle of the marine navigation mark coating using the life coefficient.

[0085] Specifically, the remaining life cycle of the marine navigation mark coating is calculated using the life coefficient, including the following steps:

[0086] A life coefficient threshold is set; the coating failure coefficient is solved using the life coefficient threshold, thereby obtaining the remaining life cycle of the marine navigation mark coating.

[0087] According to the management requirements of navigation marks, the minimum usage standard of navigation mark coating is determined, that is, the degree of failure corrosion reaches the degree of loss of the original state. For example, the life coefficient threshold is set to 0.5. When the life coefficient is equal to 0.5, the coating needs to be replaced or maintained in time.

[0088] In a specific embodiment, , , , , the life coefficient threshold is 0.5, and the coating failure coefficient can be calculated hour, , that is, the life coefficient of the navigation mark coating after 5.2 years is 0.5, which means the remaining life cycle of the marine navigation mark coating is 5.2 years.

[0089] Furthermore, an inspection cycle is set to evaluate each navigation mark, and the remaining life cycle of the navigation mark coating is marked after the evaluation; if the remaining life cycle is greater than the inspection cycle, it is evaluated again in the next inspection cycle; if the remaining life cycle is less than the inspection cycle, the buoy is maintained, including cleaning marine growth, surface rust removal, painting, tightness testing, thickness measurement, repairs, etc.

[0090] See also Figure 2 In an embodiment, in order to efficiently execute a marine beacon coating life cycle assessment method provided by the present invention, the present invention also provides a marine beacon coating life cycle assessment system, including: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory contains program instructions, and the program instructions are used for the steps of the marine beacon coating life cycle assessment method. The marine beacon coating life cycle assessment system of the present invention has a compact structure and stable performance, and can stably execute a marine beacon coating life cycle assessment method of the present invention, further improving the overall applicability and practical application ability of the present invention.

[0091] In an embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. An input device may be used to obtain data information. An output device may be used to output the results obtained by storing program instructions contained in a computer program in a memory provided by the present invention. The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory.

[0092] In yet another alternative embodiment, see Figure 3 In order to efficiently execute the marine navigation mark coating life cycle assessment method provided by the present invention, this embodiment also provides a marine navigation mark coating life cycle assessment device, such as Figure 3 As shown, including:

[0093] The memory 10 is used to store computer programs; the processor 20 is used to execute the computer programs to implement the above-mentioned marine navigation mark coating life cycle assessment method. The memory 10, the processor 20, the communication interface 31 and the communication bus 32. The memory 10, the processor 20, and the communication interface 31 all communicate with each other through the communication bus 32.

[0094] In an embodiment, the memory 10 is used to store one or more program instructions. The memory 10 may store program instructions for implementing the following functions:

[0095] Acquire image information of the navigation mark coating, and obtain a first evaluation index of the coating according to the image information; construct a coating capacitance equivalent model, and use the coating capacitance equivalent model to obtain a second evaluation index of the coating; combine the first evaluation index of the coating and the second evaluation index of the coating to obtain a coating life cycle index; construct a coating failure model based on the coating life cycle index, and calculate the coating life coefficient through the coating failure model; use the life coefficient to calculate the remaining life cycle of the marine navigation mark coating.

[0096] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, and at least one application required for a function, etc.; the data storage area may store data created during use. In addition, the memory 10 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0097] The processor 20 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, and the processor 20 may be a microprocessor or any conventional processor, etc. The processor 20 may call a program stored in the memory 10. The communication interface 31 may be an interface of a communication module, and is used to connect with other devices or systems.

[0098] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the marine navigation coating life cycle assessment device in this embodiment. In actual applications, the marine navigation coating life cycle assessment device may include: Figure 3 More or fewer components than shown, or combinations of certain components.

[0099] The embodiment also provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned method for life cycle assessment of marine beacon coatings are implemented.

[0100] The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0101] In summary, the present invention constructs a coating life cycle index by identifying the image information of the coating and using the electrochemical AC impedance spectroscopy method to obtain the coating life coefficient, and then uses the life coefficient to solve the remaining life cycle of the marine navigation mark coating, which effectively solves the problem of efficiently and accurately predicting the remaining life cycle of the navigation mark coating, is conducive to timely discovery and replacement of aging coatings, and prevents the occurrence of unexpected failure events. It also helps to reasonably arrange maintenance plans, avoid excessive maintenance or insufficient maintenance, further improve maintenance efficiency, and save maintenance costs; through timely maintenance and replacement of coatings, the service life of the navigation mark can also be extended, the frequency of navigation mark replacement caused by coating failure can be reduced, and the overall operating cost can be further reduced to maximize economic benefits. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and has a high industrial utilization value.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope recorded in the present invention.

Claims

1. A method for life cycle assessment of marine navigation mark coatings, characterized in that: The method for life cycle assessment of marine navigation mark coatings comprises the following steps: Acquire image information of the navigation mark coating, and obtain a first evaluation index of the coating according to the image information; Constructing a coating capacitance equivalent model, and using the coating capacitance equivalent model to obtain a second evaluation index of the coating; Combining the first evaluation index of the coating and the second evaluation index of the coating to obtain a coating life cycle index; Constructing a coating failure model based on the coating life cycle indicator, and calculating the coating life coefficient through the coating failure model; Utilizing the life coefficient, the remaining life cycle of the marine navigation mark coating is calculated; The step of obtaining a first evaluation index of the coating according to the image information comprises the following steps: identifying failure features of the coating from the image information, the failure features including blistering features, rusting features, cracking features, paint peeling features, chalking features, and corrosion features; Based on the failure characteristics, the failure degree of the coating is obtained, wherein the failure degree includes the degree of blistering, the degree of rusting, the degree of cracking, the degree of paint peeling, the degree of powdering and the degree of corrosion; According to the failure degree, obtaining a first evaluation index of the coating; Based on the failure characteristics, the failure degree of the coating is obtained, which satisfies the following formula: ， in, Indicates the degree of failure of the coating. represents the number of failure features, Indicates The diameter of the failure feature, Indicates The area of ​​the failure feature, Indicates the coating area in the image information, Indicates The distance from the center of a failure feature to the centers of other failure features; According to the failure degree, a first evaluation index of the coating is obtained, which satisfies the following formula: ， in, It represents the first evaluation index of coating. Indicates The weight of the failure characteristics, Indicates Failure degree of each failure characteristic; The method of constructing a coating capacitance equivalent model and obtaining a second evaluation index of the coating by using the coating capacitance equivalent model comprises the following steps: Obtain the above-water coating impedance and underwater coating impedance of the navigation mark respectively; Based on the above-water coating impedance and the underwater coating impedance, a coating capacitance equivalent model is constructed, and a coating comprehensive capacitance coefficient is generated through the coating capacitance equivalent model; Using the comprehensive capacitance coefficient of the coating, a second evaluation index of the coating is obtained; Based on the above-water coating impedance and the underwater coating impedance, a coating capacitance equivalent model is constructed, and a coating comprehensive capacitance coefficient is generated by the coating capacitance equivalent model, which satisfies the following formula: ， in, represents the comprehensive capacitance coefficient of the coating, represents the initial capacitance of the navigation mark coating, represents the initial impedance of the beacon coating, Indicates the thickness of the coating on water, represents the impedance of the coating on water, represents the dielectric constant of the coating on water, represents the coating area above water, represents the underwater coating area, represents the underwater coating impedance, Indicates the underwater coating thickness, represents the dielectric constant of the underwater coating; The second evaluation index of the coating is obtained by using the comprehensive capacitance coefficient of the coating, which satisfies the following formula: ， in, It represents the second evaluation index of coating. represents the comprehensive capacitance coefficient of the coating, represents the initial capacitance of the navigation mark coating, represents the dielectric constant of water; The coating life cycle index is obtained by combining the first evaluation index of the coating and the second evaluation index of the coating, and satisfies the following formula: ， in, Represents the coating life cycle indicator, , , represents the simulation coefficient, It represents the first evaluation index of coating. Indicates the second evaluation index of the coating; The coating failure model constructed based on the coating life cycle indicators satisfies the following formula: ， in, express Coating failure coefficient after years, Indicates the degree of corrosion in the marine environment. represents the base of natural logarithms, Indicates coating life cycle indicator; The life coefficient of the coating is calculated by the coating failure model, and satisfies the following formula: ， in, Indicates Years coating life factor, express Coating failure coefficient after years, Indicates The life factor of the coating in years and the initial life factor of the coating .

2. A method for life cycle assessment of marine navigation mark coating according to claim 1, characterized in that: The method of calculating the remaining life cycle of the marine navigation mark coating by using the life coefficient comprises the following steps: Set the life coefficient threshold; The coating failure coefficient is solved by using the life coefficient threshold, thereby obtaining the remaining life cycle of the marine navigation mark coating.

3. A marine navigation mark coating life cycle assessment system, characterized in that: The marine beacon coating life cycle assessment system comprises: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory comprises program instructions, and the program instructions are used to execute the marine beacon coating life cycle assessment method according to any one of claims 1-2.

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