Long-acting anti-corrosion and anti-rust protection method and system for heavy industrial equipment

Abstract

The invention provides a long-acting anti-corrosion and anti-rust protection method and system for heavy industrial equipment. The method comprises the steps that a rust area image of the oil coating surface of the heavy industrial equipment is collected; determining the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the corrosion morphological characteristics; determining a corrosion loss coefficient of the oiled surface of the heavy industrial equipment according to the gas phase corrosion boundary, and determining a static corrosion inhibition rate of the surface of the heavy industrial equipment according to the corrosion loss coefficient and the kinematic viscosity; determining the dynamic corrosion cost of the heavy industrial equipment during long-acting anti-corrosion and anti-rust protection according to the cold wall surface temperature and the gas driving potential of the surface of the heavy industrial equipment; according to the static corrosion inhibition rate and the dynamic corrosion cost, the effective corrosion inhibition amount of long-acting anti-corrosion and anti-rust protection is determined, and the long-acting anti-corrosion and anti-rust protection period of the heavy industrial equipment is adjusted according to the effective corrosion inhibition amount. According to the scheme, the long-acting anti-corrosion and anti-rust protection period of the heavy industrial equipment is adjusted based on the static corrosion inhibition rate and the dynamic corrosion cost, and the anti-corrosion and anti-rust adaptive capacity of the heavy industrial equipment can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of metal corrosion protection, and more specifically, to a long-term corrosion and rust protection method and system for heavy industrial equipment. Background Art

[0002] Metal corrosion protection refers to the process of using physical, chemical or electrochemical methods to protect the surface of metal materials from the erosion of corrosive media such as moisture, oxygen, acid, alkali, salt, etc. in the environment, and to delay or prevent metal rust and corrosion. Its purpose is to extend the service life of metal equipment and structures and maintain their mechanical properties and appearance quality. Common methods include coating protective layers (such as painting, electroplating, chemical plating, etc.), applying cathodic protection, using corrosion inhibitors, and selecting corrosion-resistant alloys. These protective measures achieve effective protection of metals by isolating the metal surface from the corrosive medium, changing the electrochemical conditions, and reducing the corrosion reaction rate.

[0003] In the prior art, long-term anti-corrosion and anti-rust protection for heavy industrial equipment first removes rust, dirt and oxides on the surface of heavy industrial equipment through surface pretreatment to ensure the adhesion of the coating; then, anti-rust coatings are applied, such as epoxy resin coatings, polyurethane coatings, etc. These coatings have excellent anti-corrosion properties and can effectively block the erosion of air and moisture to metals; in addition, cathodic protection technology is used to form a protective layer on the metal surface by applying a negative current to prevent metal oxidation; anti-corrosion alloys, such as stainless steel or aluminum alloys, are used to manufacture equipment parts to improve their corrosion resistance; finally, regular maintenance and overhaul, timely detection and repair of damaged protective layers are also key measures to ensure long-term and effective protection of equipment. However, in the long-term anti-corrosion and anti-rust protection of heavy industrial equipment, due to the uneven environment in which the heavy industrial equipment is located, It is based on standard environmental conditions, and is subject to temperature fluctuations, changes in temperature and humidity, the growth of frost layers and the influence of pollutants, as well as poor comprehensive ability to cope with static and dynamic corrosion changes in anti-corrosion and rust protection. When heavy industrial equipment is subjected to long-term anti-corrosion and rust protection, after anti-corrosion and rust protection oil is sprayed on the surface of the heavy industrial equipment, the dynamic corrosion inhibition function of the heavy industrial equipment has the problem of insufficient adaptability to rust inhibition, which makes the protective measures lack the ability to respond to the variability of the actual protection environment, resulting in the inability to adjust the long-term anti-corrosion and rust prevention effect in time, thereby reducing the adaptability of anti-corrosion and rust prevention. Therefore, how to dynamically adjust the long-term anti-corrosion and rust protection period of heavy industrial equipment when the dynamic corrosion inhibition function of heavy industrial equipment is disturbed by the insufficient adaptability of rust inhibition, so as to improve the adaptability of heavy industrial equipment against corrosion and rust is a problem faced by the industry. Summary of the invention

[0004] The present application provides a long-term anti-corrosion and anti-rust protection method and system for heavy industrial equipment, which can dynamically adjust the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment when the dynamic corrosion inhibition function of the heavy industrial equipment is disturbed by the insufficient adaptability of rust inhibition, thereby improving the anti-corrosion and anti-rust adaptability of the heavy industrial equipment.

[0005] In a first aspect, the present application provides a long-term anti-corrosion and anti-rust protection method for heavy industrial equipment, comprising the following steps: Spraying anti-corrosion and anti-rust protective oil on the surface of heavy industrial equipment, and then collecting images of rusted areas on the oiled surface of the heavy industrial equipment; Extracting rust morphological features of the surface of the heavy industrial equipment from the rust area image, and determining the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the rust morphological features; Determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, determine the rust loss coefficient of the oiled surface of the heavy industrial equipment according to the vapor phase corrosion boundary, and then determine the static corrosion inhibition rate of the surface of the heavy industrial equipment according to the rust loss coefficient and the kinematic viscosity; Acquire frost growth information on the surface of heavy industrial equipment, determine the cold wall temperature of the heavy industrial equipment according to the frost growth information, and then determine the dynamic corrosion cost of the heavy industrial equipment when long-term anti-corrosion and anti-rust protection is performed according to the cold wall temperature and the headwind speed on the surface of the heavy industrial equipment; The effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection is determined according to the static corrosion inhibition rate and the dynamic corrosion cost, and the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment is adjusted according to the effective corrosion inhibition amount.

[0006] In some embodiments, extracting the rust morphological features of the surface of heavy industrial equipment from the rust area image specifically includes: Performing corrosion morphology recognition on the corrosion area image to obtain the corrosion area; The rust morphological characteristics of the surface of the heavy industrial equipment are determined according to the gradient difference of the texture morphology in the rusted area.

[0007] In some embodiments, determining the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment according to the rust morphological characteristics specifically includes: Obtain the motion trajectory when spraying protective oil on the surface of heavy industrial equipment; The rust morphological characteristics are coupled with the motion trajectory by viscosity to obtain the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment.

[0008] In some embodiments, determining the vapor phase corrosion boundary of the oiled surface of heavy industrial equipment specifically includes: Determine the oiling characteristics of oils applied to surfaces of heavy industrial equipment; Acquire surface images of heavy industrial equipment; determining a vapor phase corrosion domain of an oiled surface of a heavy industrial equipment based on the oiling characteristics and the surface image; The vapor phase corrosion boundary of the oiled surface of heavy industrial equipment is determined by the vapor phase corrosion domain.

[0009] In some embodiments, determining the static corrosion inhibition rate of the surface of heavy industrial equipment by the corrosion loss coefficient and the kinematic viscosity specifically includes: Obtaining corrosion rates on heavy industrial equipment surfaces before oiling; Determining the corrosion extent buffer value of the oil on the surface of heavy industrial equipment by means of the kinematic viscosity and the corrosion rate; Determining a corrosion depth buffer value of the oiling on the surface of heavy industrial equipment according to the rust loss coefficient and the corrosion rate; The static corrosion inhibition rate of the surface of heavy industrial equipment is determined according to the corrosion breadth buffer value and the corrosion depth buffer value.

[0010] In some embodiments, determining the cold wall temperature of heavy industrial equipment according to the frost layer growth information specifically includes: Determining the growth temperature of the frost layer when it is initially formed through the frost layer growth information; Obtain the external environment temperature when the frost layer is initially formed; The cold wall temperature of the heavy industrial equipment is determined according to the external environment temperature and the growth temperature.

[0011] In some embodiments, the image of the rusted area on the oiled surface of the heavy industrial equipment is obtained by reading the storage unit of the long-term anti-corrosion and anti-rust system of the heavy industrial equipment.

[0012] In a second aspect, the present application provides a long-term anti-corrosion and anti-rust protection system for heavy industrial equipment, comprising: The acquisition module is used to spray anti-corrosion and anti-rust protective oil on the surface of heavy industrial equipment, and then collect images of rusted areas on the oiled surface of the heavy industrial equipment; A processing module, used for extracting the rust morphological features of the surface of the heavy industrial equipment from the rust area image, and determining the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the rust morphological features; The processing module is further used to determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, determine the rust loss coefficient of the oiled surface of the heavy industrial equipment according to the vapor phase corrosion boundary, and then determine the static corrosion inhibition rate of the surface of the heavy industrial equipment according to the rust loss coefficient and the kinematic viscosity; The processing module is further used to obtain frost growth information on the surface of the heavy industrial equipment, determine the cold wall temperature of the heavy industrial equipment according to the frost growth information, and then determine the dynamic corrosion cost of the heavy industrial equipment when the long-term anti-corrosion and anti-rust protection is performed according to the cold wall temperature and the headwind speed on the surface of the heavy industrial equipment; The execution module is used to determine the effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection according to the static corrosion inhibition rate and the dynamic corrosion cost, and adjust the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment according to the effective corrosion inhibition amount.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned long-term anti-corrosion and anti-rust protection method for heavy industrial equipment.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned long-term anti-corrosion and anti-rust protection method for heavy industrial equipment.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: The present application provides a long-term anti-corrosion and anti-rust protection method and system for heavy industrial equipment. First, anti-corrosion and anti-rust protective oil is sprayed on the surface of the heavy industrial equipment, and then the rust area image of the oiled surface of the heavy industrial equipment is collected; secondly, the rust morphological characteristics of the surface of the heavy industrial equipment are extracted from the rust area image, and the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment is determined according to the rust morphological characteristics; then, the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment is determined, and the rust loss coefficient of the oiled surface of the heavy industrial equipment is determined according to the vapor phase corrosion boundary, and then the rust loss coefficient is calculated from the rust loss coefficient. The static corrosion inhibition rate of the surface of the heavy industrial equipment is determined by the static corrosion inhibition rate and the kinematic viscosity; then, the frost layer growth information on the surface of the heavy industrial equipment is obtained, and the cold wall temperature of the heavy industrial equipment is determined according to the frost layer growth information, and then the dynamic corrosion cost of the heavy industrial equipment during long-term anti-corrosion and anti-rust protection is determined according to the cold wall temperature and the headwind speed on the surface of the heavy industrial equipment; finally, the effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection is determined according to the static corrosion inhibition rate and the dynamic corrosion cost, and the long-term anti-corrosion and anti-rust protection period of the heavy industrial equipment is adjusted according to the effective corrosion inhibition amount.

[0016] It can be seen that in the present application, it is possible to dynamically adjust the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment when the dynamic corrosion inhibition function of the heavy industrial equipment is disturbed by the insufficient adaptability of rust inhibition, thereby improving the adaptability of heavy industrial equipment to corrosion and rust. First, the static corrosion inhibition rate on the surface of the heavy industrial equipment is determined by the rust loss coefficient and the kinematic viscosity, so as to dynamically evaluate the corrosion state and oiling effect of the equipment and overcome the insufficient adaptability of rust inhibition caused by dynamic environmental changes, and then accurately evaluate the corrosion state. Secondly, in order to evaluate the corrosion potential in the anti-corrosion and anti-rust protection of heavy industrial equipment, the dynamic corrosion cost of the heavy industrial equipment during long-term anti-corrosion and anti-rust protection is determined by the cold wall temperature and the gas driving potential on the surface of the heavy industrial equipment, so as to ensure that the anti-corrosion and anti-rust method can be dynamically adjusted according to the actual corrosion cost of the heavy industrial equipment under different environmental conditions, optimize the protection effect, and extend the corrosion period. Equipment service life, while avoiding waste of resources caused by over-protection; then, in order to enhance the flexibility of the protection strategy, the effective corrosion inhibition amount of the long-term anti-corrosion and anti-rust protection is determined according to the static corrosion inhibition rate and the dynamic corrosion cost, further ensuring that the anti-corrosion and anti-rust effect on the surface of heavy industrial equipment always remains at the optimal adjustment node throughout the entire cycle; finally, in order to more flexibly respond to the corrosion threat of heavy industrial equipment in different operating environments and enhance the adaptability of protection and the responsiveness to environmental changes, the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment is adjusted according to the effective corrosion inhibition amount; in summary, the technical solution provided by the present application can dynamically adjust the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment when the dynamic corrosion inhibition function of heavy industrial equipment is disturbed by the insufficient adaptability of rust inhibition, thereby improving the adaptability of heavy industrial equipment to corrosion and rust. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a long-term anti-corrosion and anti-rust protection method for heavy industrial equipment according to some embodiments of the present application; Figure 2 is a schematic diagram of an exemplary process for determining the rust loss coefficient of the oiled surface of heavy industrial equipment according to some embodiments of the present application; Figure 3 It is an exemplary flow chart of determining the dynamic corrosion cost of long-term anti-corrosion and anti-rust protection for heavy industrial equipment according to some embodiments of the present application; Figure 4 is a schematic diagram of exemplary hardware and / or software of a long-term anti-corrosion and anti-rust protection system for heavy industrial equipment according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a long-term anti-corrosion and anti-rust protection method for heavy industrial equipment according to some embodiments of the present application. DETAILED DESCRIPTION

[0018] The core of the present application is, first, spraying anti-corrosion and anti-rust protective oil on the surface of heavy industrial equipment, and then collecting the rust area image of the oiled surface of the heavy industrial equipment; secondly, extracting the rust morphological characteristics of the surface of the heavy industrial equipment from the rust area image, and determining the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the rust morphological characteristics; then, determining the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, determining the rust loss coefficient of the oiled surface of the heavy industrial equipment according to the vapor phase corrosion boundary, and then determining the static corrosion inhibition rate of the surface of the heavy industrial equipment according to the rust loss coefficient and the kinematic viscosity; then, obtaining the frost layer growth information on the surface of the heavy industrial equipment, determining the cold wall surface temperature of the heavy industrial equipment according to the frost layer growth information, and then determining the dynamic corrosion cost of the heavy industrial equipment during long-term anti-corrosion and anti-rust protection according to the cold wall surface temperature and the gas driving potential on the surface of the heavy industrial equipment; finally, determining the effective corrosion inhibition amount of the long-term anti-corrosion and anti-rust protection according to the static corrosion inhibition rate and the dynamic corrosion cost, and adjusting the long-term anti-corrosion and anti-rust protection period of the heavy industrial equipment according to the effective corrosion inhibition amount. The above scheme dynamically adjusts the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment based on the static corrosion inhibition rate and the dynamic corrosion cost, which can improve the adaptability of the heavy industrial equipment to anti-corrosion and anti-rust.

[0019] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 , which is an exemplary flow chart of a long-term anti-corrosion and anti-rust protection method for heavy industrial equipment according to some embodiments of the present application. The long-term anti-corrosion and anti-rust protection method 100 for heavy industrial equipment mainly includes the following steps: In step 101, anti-corrosion and anti-rust protective oil is sprayed on the surface of heavy industrial equipment, and then an image of the rusted area on the oiled surface of the heavy industrial equipment is collected.

[0020] In specific implementation, before spraying the protective oil, the surface of the equipment must be thoroughly cleaned to remove all dust, grease, old coatings or rust. This can be done by sandblasting, chemical cleaning or mechanical polishing, and then select an anti-corrosion and anti-rust protective oil suitable for the working environment of the equipment. Common choices include epoxy resin coating, polyurethane coating or specially formulated anti-corrosion oil; select appropriate acquisition equipment as needed to collect images of rusted areas. Common acquisition equipment includes humidity sensors, temperature sensors, surface potential monitors, high-resolution imaging equipment (such as high-definition cameras or industrial cameras), etc., install the acquisition equipment on the surface of the equipment, and the acquisition equipment should be installed in areas where corrosion may occur, and ensure that it can directly contact the surface of the protective oil. Start the acquisition equipment and start recording the surface potential, surface humidity, temperature changes and image information of the protective oil surface, etc., and store these data in the storage unit of the long-term anti-corrosion and anti-rust system of the heavy industrial equipment. The image of the rusted area on the oiled surface of the heavy industrial equipment can be obtained by reading the storage unit of the long-term anti-corrosion and anti-rust system of the heavy industrial equipment. In other embodiments, other methods can also be used to determine the image of the rusted area on the oiled surface of the heavy industrial equipment, which is not limited here.

[0021] It should be noted that the images of rusted areas on the oiled surfaces of heavy industrial equipment in this application represent various data on the effectiveness and performance of the anti-corrosion and anti-rust protective oil applied on the surfaces of heavy industrial equipment.

[0022] In step 102, the rust morphological features of the surface of the heavy industrial equipment are extracted from the rusted area image, and the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment is determined according to the rust morphological features.

[0023] In some embodiments, extracting the rust morphological features of the surface of heavy industrial equipment from the rust region image can be achieved by using the following steps: Performing corrosion morphology recognition on the corrosion area image to obtain the corrosion area; The rust morphological characteristics of the surface of the heavy industrial equipment are determined according to the gradient difference of the texture morphology in the rusted area.

[0024] In the specific implementation, first, the collected image of the rusted area is input into the image processing system or pattern recognition algorithm, and the rusted area in the image is identified by edge detection, color segmentation and other technologies. Common methods include grayscale processing, binarization processing, and morphological operations (such as corrosion and expansion) to distinguish the rusted area from the non-rusted area; then, in the identified rusted area, the texture gradient difference of the image (that is, the rate of change of brightness or color value in the image) is calculated to extract the rust morphological features, and then the rust morphological features are obtained. The extraction process can be implemented by common image gradient calculation methods (such as Sobel operator, Laplacian operator, etc.), and the calculated gradient information can reflect the roughness, edge clarity and other characteristics inside the rusted area. This information can describe the type and severity of the rust in more detail.

[0025] It should be noted that rust morphology recognition can effectively distinguish between rusted areas and intact areas on the surface of the equipment, forming the basis for subsequent analysis and ensuring that the extracted rust feature information is accurate and representative; by analyzing the gradient differences in the texture, the features in the rusted area can be accurately extracted to help determine the specific conditions of rust on the equipment surface (such as the degree of rust, morphology, etc.).

[0026] In addition, it should be noted that the rust area in the present application refers to the part of the surface of heavy industrial equipment that has changed due to corrosion, including rust spots, corrosion pits, etc.; the gradient difference of texture morphology is a parameter in the image that represents the degree of brightness or color change in the rust area, reflecting the surface characteristics of the rust area; the rust morphological characteristics on the surface of heavy industrial equipment represent the various physical manifestations and structural characteristics of the surface of heavy industrial equipment caused by rust, including the size, shape, depth, texture, color change and surface roughness of the rust area.

[0027] In some embodiments, determining the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment according to the rust morphological characteristics can be achieved by the following steps: Obtain the motion trajectory when spraying protective oil on the surface of heavy industrial equipment; The rust morphological characteristics are coupled with the motion trajectory by viscosity to obtain the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment.

[0028] In the specific implementation, first, when spraying protective oil on the surface of heavy industrial equipment, the movement trajectory of the protective oil during the spraying process can be recorded by sensors or image tracking systems, which may include the spraying path, the flow direction of the oil on the surface, the speed, and the diffusion range. Commonly used tools include high-speed cameras, infrared imaging systems, or surface sensors to capture the dynamic behavior of the sprayed oil in real time; then, after obtaining the rust morphological characteristics and the movement trajectory of the sprayed oil, the two are linked through the viscosity coupling model. Viscosity coupling refers to the consideration of the influence of the rust morphological characteristics on the flow of the oil when calculating the flow of the protective oil in the rust area. For example, the roughness and texture characteristics of the rust area will affect the flow resistance and diffusion rate of the oil, thereby affecting the actual The actual viscosity performance is calculated by analyzing these influences, and the effective kinematic viscosity of the protective oil under different rust forms is calculated; finally, the influencing factors on the flow of the oil are determined by analyzing the morphological characteristics of the rusted area (such as roughness, texture gradient, porosity, etc.), which will affect the flow resistance and diffusion rate of the oil. The rust morphological characteristics are then coupled with the motion trajectory of the sprayed oil, and the actual viscosity performance of the oil when flowing on the surface is calculated using a fluid mechanics model (such as the Navier-Stokes equation). Finally, the effective kinematic viscosity of the protective oil is obtained by comparing the flow behaviors under different rust forms. In other embodiments, other methods can also be used to determine the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment, which is not limited here.

[0029] It should be noted that the motion trajectory of protective oil sprayed on the surface of heavy industrial equipment in this application represents the path and form of the protective oil liquid moving, diffusing and adhering on the equipment surface during the spraying process. It describes the flow direction, speed, diffusion range and coverage form of the oil on the equipment surface after it is sprayed from the spraying equipment, which directly affects the uniformity of the spraying effect and the protective performance; the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment represents the fluidity characteristics of the protective oil liquid when it flows and diffuses on the equipment surface during the spraying process. It comprehensively reflects the influence of the viscosity of the oil itself and the surface rust morphology on the flow behavior of the oil, determines the uniformity of the oil coverage and the adhesion effect on the equipment surface, thereby affecting the protective performance.

[0030] In step 103, the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment is determined, and the rust loss coefficient of the oiled surface of the heavy industrial equipment is determined based on the vapor phase corrosion boundary, and then the static corrosion inhibition rate of the surface of the heavy industrial equipment is determined based on the rust loss coefficient and the kinematic viscosity.

[0031] In some embodiments, determining the vapor phase corrosion boundary of the oiled surface of heavy industrial equipment can be achieved by the following steps: Determine the oiling characteristics of oils applied to surfaces of heavy industrial equipment; Acquire surface images of heavy industrial equipment; determining a vapor phase corrosion domain of an oiled surface of a heavy industrial equipment based on the oiling characteristics and the surface image; The vapor phase corrosion boundary of the oiled surface of heavy industrial equipment is determined by the vapor phase corrosion domain.

[0032] In specific implementation, first, the physical and chemical properties of the protective oil, including viscosity, adhesion, temperature resistance, corrosion resistance, etc., can be obtained through laboratory tests or technical data sheets, and a viscometer can be used to measure the viscosity of the oil, a peel test can be used to evaluate adhesion, and a corrosion test can be performed to determine corrosion resistance. Long-term aging tests can also be performed to observe the changes in the oil under different environmental conditions. Secondly, a high-resolution camera or infrared camera is used to capture an image of the surface of the equipment. The image includes the entire oiled area and its surface state to ensure that the integrity of the oil coating layer can be clearly identified. Image processing software (such as MATLAB, ImageJ, etc.) can be used to analyze the image to identify the coverage and surface defects of the oil coating layer, thereby obtaining a surface image of the heavy industrial equipment.

[0033] It should be noted that the oil coating characteristics in this application refer to the physical and chemical properties of the protective oil, including its fluidity, adhesion and corrosion resistance, which directly affect the protective effect of the oil coating layer; the surface image of heavy industrial equipment refers to the image data of the surface state of heavy industrial equipment, including the coverage of the oil coating layer and its existing defects or uneven characteristics.

[0034] In addition, in a specific implementation, determining the vapor phase corrosion domain of the oiled surface of the heavy industrial equipment according to the oiling characteristics and the surface image can be achieved in the following manner, namely: combining the oiling characteristics and the surface image, analyzing the corrosion behavior of the oil coating layer under specific environmental conditions through a corrosion model (such as a vapor phase corrosion model), using an algorithm to process the image data, identifying possible vapor phase corrosion areas, matching the defective areas in the image with the performance characteristics of the oil coating layer, determining whether these areas are affected by vapor phase corrosion, and using the areas affected by vapor phase corrosion as vapor phase corrosion areas on the oiled surface of the heavy industrial equipment, wherein the algorithm for processing the image data can be a machine learning method or a deep learning algorithm, and in other embodiments, other methods can also be used to determine the vapor phase corrosion domain of the oiled surface of the heavy industrial equipment, which is not limited here.

[0035] It should be noted that the vapor phase corrosion area on the oiled surface of heavy industrial equipment in this application refers to the area where vapor phase corrosion occurs in the oil coating layer of heavy industrial equipment under specific environmental conditions. This area is particularly susceptible to corrosion due to environmental factors or oil characteristics.

[0036] In specific implementation, the following method can be used to determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment through the vapor phase corrosion domain, namely: based on the results of the vapor phase corrosion domain, use image processing software or modeling tools to draw the vapor phase corrosion boundary, including marking the boundary line of the vapor phase corrosion on the image, and adjusting it in combination with actual environmental conditions (such as temperature, humidity, etc.), and using the adjusted boundary line as the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment. In other embodiments, other methods can also be used to determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, which is not limited here.

[0037] It should be noted that the vapor phase corrosion boundary of the oiled surface of heavy industrial equipment in the present application represents the critical area where the oil coating on the surface of the equipment begins to corrode under specific vapor phase environmental conditions (such as temperature, humidity, gas composition, etc.). The boundary identifies the range in which the protective performance of the oil coating fails, indicating that within this range, the oil coating may not be able to effectively prevent the occurrence of the corrosion process, thereby guiding the implementation and optimization of protective measures.

[0038] In some embodiments, reference Figure 2 As shown, this figure is an exemplary flow chart of determining the corrosion loss coefficient of the oiled surface of heavy industrial equipment according to some embodiments of the present application. In this embodiment, the corrosion loss coefficient of the oiled surface of heavy industrial equipment is determined according to the vapor phase corrosion boundary, which can be achieved by the following steps: In step 1031, the corrosion area of ​​the heavy industrial equipment before and after oiling is determined according to the vapor phase corrosion boundary, and then the corrosion area difference is obtained; In step 1032, the thickness of the oil film on the oiled surface of the heavy industrial equipment at the vapor phase corrosion boundary is determined; In step 1033, a corrosion depth curve of the oiled surface of the heavy industrial equipment near the vapor phase corrosion boundary is determined; In step 1034, the rust loss coefficient of the oiled surface of the heavy industrial equipment is determined based on the corrosion area difference, the oil film thickness and the corrosion depth curve.

[0039] In specific implementation, first, the corrosion area of ​​heavy industrial equipment before and after oiling is measured through image processing technology or other corrosion detection means. This can be done by comparing the equipment surface images before and after oiling or using corrosion detection sensors. Then, the difference in corrosion area before and after oiling is calculated, that is, the corrosion area difference. This difference reflects the direct impact of oiling on the surface protection effect of equipment. Secondly, use film thickness gauges and other measuring tools to accurately measure the thickness of the oil film on the surface of heavy industrial equipment at the boundary of gas phase corrosion. Attention should be paid to uniformity during measurement, especially the weak oil film area that may appear at the boundary. Then, through corrosion detection instruments or microscope observation, the corrosion depth curve of the equipment surface near the boundary of gas phase corrosion is obtained. The curve shows that the depth of corrosion increases with the depth of corrosion. The situation of position changes, especially in the boundary area where the oil coating may be thinner; finally, the corrosion area difference, oil film thickness and corrosion depth curve are comprehensively analyzed, and the rust loss coefficient of the oiled surface is calculated using a mathematical model or an empirical formula. That is, a multivariate linear regression model or a nonlinear model can be used to capture the relationship between the three parameters, and then the three undetermined coefficients are multiplied by the corrosion area difference, oil film thickness and corrosion depth curve respectively and then added together. The result is used as the rust loss coefficient of the oiled surface of heavy industrial equipment. Among them, historical data or experimental data can be used to determine the three undetermined coefficients through regression analysis. The rust loss coefficient reflects the actual protective effect of the oil coating at the vapor phase corrosion boundary and provides feedback for the optimization of the protection strategy.

[0040] It should be noted that the corrosion area difference in the present application represents the total area of ​​the corrosion area on the surface of the heavy industrial equipment before oiling minus the total area of ​​the corrosion area on the surface of the heavy industrial equipment after oiling. The difference reflects the degree of improvement of the anti-corrosion effect of the heavy industrial equipment surface by the oiling treatment. The larger the corrosion area difference, the more significant the protective effect after oiling. The oil film thickness represents the distance from the base of the oil layer on the surface of the heavy industrial equipment to the outer surface of the oil film, which is usually measured in microns. The oil film thickness directly affects the anti-corrosion and anti-rust effect of the protective oil on the equipment. Thicker oil films usually provide stronger protection, but may also affect the heat dissipation and operating performance of the equipment. The corrosion depth curve is a curve that describes the change in corrosion depth at different positions on the surface of heavy industrial equipment. The curve reflects how the corrosion depth of the surface of the heavy industrial equipment changes from one point to another, that is, the degree of corrosion at different positions. The rust loss coefficient represents a quantitative index calculated based on the actual protective effect of the oil protective layer on the surface of the heavy industrial equipment, reflecting the protection capability provided by the oil layer in the actual working environment.

[0041] In some embodiments, determining the static corrosion inhibition rate of the surface of heavy industrial equipment by the corrosion loss coefficient and the kinematic viscosity can be achieved by the following steps: Obtaining corrosion rates on heavy industrial equipment surfaces before oiling; Determining the corrosion extent buffer value of the oil on the surface of heavy industrial equipment by means of the kinematic viscosity and the corrosion rate; Determining a corrosion depth buffer value of the oiling on the surface of heavy industrial equipment according to the rust loss coefficient and the corrosion rate; The static corrosion inhibition rate of the surface of heavy industrial equipment is determined according to the corrosion breadth buffer value and the corrosion depth buffer value.

[0042] In specific implementation, first, the corrosion rate of the equipment surface under different environmental conditions is obtained through historical data, experimental tests or monitoring of the corrosion process of the equipment without oil coating. The corrosion rate is usually expressed as the corrosion depth of the material per unit time (such as micrometers / year) or mass loss (such as milligrams / year); secondly, the kinematic viscosity data of the equipment surface after oil coating and the corrosion rate when not oil coated are combined to calculate the buffering effect of oil coating on the corrosion breadth. The breadth buffer value can be quantified by comparing the changes in the corrosion area before and after oil coating and combining the viscosity data to quantify the ability of the oil coating layer to reduce the expansion of the corrosion area, that is, the corrosion breadth buffer value = f (corrosion rate, kinematic viscosity), where f is the correlation mathematical model of the corrosion rate and kinematic viscosity. In other embodiments, other methods can also be used to determine the corrosion breadth buffer value, which is not limited here; then, through Combining the corrosion loss coefficient and the corrosion rate when not oiled, the buffering effect of the oil coating on the corrosion depth is calculated. The corrosion depth buffer value reflects the mitigation effect of the oil coating on the corrosion erosion depth, that is, the corrosion depth buffer value = g (corrosion loss coefficient, corrosion rate), where g is the mathematical model of the relationship between the corrosion loss coefficient and the corrosion rate; finally, the corrosion breadth buffer value and the corrosion depth buffer value are combined to calculate the static corrosion inhibition rate of the equipment surface. The static corrosion inhibition rate reflects the overall corrosion protection ability of the oil coating on the equipment surface in the absence of external forces or environmental changes. The static corrosion inhibition rate can be determined by the following formula, namely: static corrosion inhibition rate = h (corrosion breadth buffer value, corrosion depth buffer value), where h is the associated mathematical model of the corrosion breadth buffer value and the corrosion depth buffer value. The model can be a linear regression model, which will not be repeated here.

[0043] It should be noted that the corrosion rate of the surface of heavy industrial equipment before oiling in this application refers to the speed at which the surface material of the equipment corrodes due to environmental factors (such as moisture, chemicals, temperature, etc.) when the surface of the heavy industrial equipment has not yet been treated with oil protection. The corrosion rate reflects the severity of corrosion of the equipment in an unprotected state and is an important benchmark data for evaluating the effectiveness of oil protection. The corrosion breadth buffer value indicates the degree of reduction in the area of ​​corrosion on the surface of the equipment after oiling, and the inhibitory effect of the protective layer on the expansion of corrosion breadth compared to when no oil is applied. The larger this value is, the more significant the inhibitory effect of the oiled protective layer on the expansion of the corrosion area is, which is a measure of the effectiveness of the protective layer. The corrosion depth buffer value indicates the reduction of corrosion depth on the equipment surface after oiling. Compared with the case of no oiling, the corrosion depth is inhibited by the protective layer. The larger the value, the more significant the effect of the oiled protective layer on reducing the corrosion depth. It is an important indicator for evaluating the effectiveness of the oiled layer in preventing the increase of corrosion depth. The static corrosion inhibition rate indicates the effect of the oiled protective layer on the corrosion rate of heavy industrial equipment. The static corrosion inhibition rate measures the extent to which the oiled layer can reduce the corrosion rate of the equipment surface from the corrosion rate in the unoiled state without the influence of external forces or environmental changes.

[0044] In step 104, the frost growth information on the surface of the heavy industrial equipment is obtained, and the cold wall temperature of the heavy industrial equipment is determined based on the frost growth information. Then, the dynamic corrosion cost of the heavy industrial equipment during long-term anti-corrosion and anti-rust protection is determined based on the cold wall temperature and the gas driving potential on the surface of the heavy industrial equipment.

[0045] In specific implementation, obtaining the frost growth information on the surface of heavy industrial equipment can be achieved in the following manner, namely: using a temperature sensor and a humidity sensor installed on the surface of the equipment or near the surface of the equipment to monitor the environmental conditions in real time, using a frost thickness sensor or an image acquisition device (such as a high-resolution camera or a laser rangefinder) to detect the growth of the frost layer, installing the sensor and the camera device on the surface of the equipment and its surroundings to ensure that the surface temperature and humidity can be accurately measured, and the image data of the frost layer can be obtained, configuring the sampling frequency and data recording interval of the sensor and the camera device to capture the changes in the frost layer, continuously recording the temperature, humidity and frost thickness data during the operation of the equipment, paying special attention to the formation and growth of the frost layer on the surface of the equipment in a low temperature environment, regularly taking images of the surface of the equipment (for example, once a day), analyzing the distribution and thickness changes of the frost layer, processing the obtained frost thickness data, including operations such as denoising and data smoothing, to accurately represent the actual thickness of the frost layer, and using the processed actual thickness of the frost layer as the frost growth information on the surface of the heavy industrial equipment. In other embodiments, other methods can also be used to determine the frost growth information on the surface of the heavy industrial equipment, which is not limited here.

[0046] It should be noted that the frost growth information on the surface of heavy industrial equipment in the present application represents data and information on the formation, thickness change and growth law of the frost layer on the surface of heavy industrial equipment. The information includes the actual thickness of the frost layer, its distribution, formation speed and change trend over time, and its relationship with environmental conditions (such as temperature, humidity, etc.).

[0047] In some embodiments, determining the cold wall temperature of heavy industrial equipment according to the frost layer growth information can be achieved by using the following steps: Determining the growth temperature of the frost layer when it is initially formed through the frost layer growth information; Obtain the external environment temperature when the frost layer is initially formed; The cold wall temperature of the heavy industrial equipment is determined according to the external environment temperature and the growth temperature.

[0048] In specific implementation, first, the initial temperature data of the beginning of frost layer formation is extracted from the frost layer growth information, which can be achieved through a temperature sensor or image analysis technology, such as using a temperature sensor to record the temperature at the initial stage of frost layer formation, or by analyzing the temperature change in the image data, to obtain the growth temperature when the frost layer is initially formed; then, the ambient temperature sensor is used to record the external environmental temperature in real time during the frost layer formation process, including recording the temperature of the air around the equipment and any environmental factors that affect the surface temperature of the equipment; finally, based on the growth temperature when the frost layer is initially formed and the external environmental temperature, the heat conduction and cooling model are used to calculate the cold wall surface temperature. Common methods include using a temperature difference model or a heat conduction formula to infer the actual cold wall surface temperature of the equipment surface, that is: the cold wall surface temperature of heavy industrial equipment = the growth temperature when the frost layer is initially formed - the difference between the ambient temperature and the frost layer growth temperature. In other embodiments, other methods can also be used to determine the cold wall surface temperature of heavy industrial equipment, which is not limited here.

[0049] It should be noted that the growth temperature when the frost layer is initially formed in the present application represents the key temperature point at which frost begins to appear on the surface of heavy industrial equipment. Usually, when the ambient temperature drops to a certain level, the surface temperature of the equipment is lower than this temperature and frost begins to accumulate. This temperature reflects the starting conditions for the formation of the frost layer, and together with the ambient humidity and other related factors, it affects the cooling and frost accumulation process of the equipment surface; the external ambient temperature when the frost layer is initially formed represents the air temperature value measured in the environment when the frost layer is initially formed, and this temperature reflects the influence of the environment on the formation of frost on the equipment surface; the cold wall temperature of heavy industrial equipment represents the actual temperature of the equipment surface in the heavy industrial equipment, especially in the area where the surface is in contact with the cooling or ambient air during the operation of the equipment. This temperature reflects the thermal state of the equipment surface under cooling or frost formation conditions.

[0050] In some embodiments, reference Figure 3As shown, this figure is an exemplary flow diagram of determining the dynamic corrosion cost of long-term anti-corrosion and anti-rust protection for heavy industrial equipment according to some embodiments of the present application. In this embodiment, the dynamic corrosion cost of long-term anti-corrosion and anti-rust protection for heavy industrial equipment is determined by the cold wall temperature and the gas driving potential on the surface of the heavy industrial equipment. The following steps can be used to achieve this: In step 1041, a gas driving potential on the surface of the heavy industrial equipment is obtained; In step 1042, a long-term corrosion value of a cold wall surface in a heavy industrial equipment is determined according to the gas driving potential; In step 1043, a rust inhibition value of the heavy industrial equipment oiled at the cold wall temperature is determined; In step 1044, the dynamic corrosion cost of the heavy industrial equipment during long-term anti-corrosion and anti-rust protection is determined by the long-term corrosion value and the corrosion inhibition value.

[0051] In the specific implementation, first, the chemical properties of the gas on the surface of the equipment are measured by a gas sensor or an analysis device to calculate the gas driving potential, including measuring the pressure, concentration and temperature of the gas, and applying the relevant theoretical model to calculate the gas driving potential, wherein the model for calculating the gas driving potential can be a linear regression model or a finite element analysis, etc., which is not limited here; secondly, the gas driving potential data is used to calculate the long-term corrosion value of the equipment under the gas driving potential through a preset model or formula. Usually, a relationship model between the gas driving potential and the corrosion rate is first established, such as a machine learning model or a numerical simulation model, etc., which is not limited here; then, according to the actual anti-corrosion effect of heavy industrial equipment at the cold wall surface temperature, the inhibition value of the oil coating on corrosion is calculated, including the effect of oiling at a specific cold wall surface temperature. For example, the thickness and protective performance of the oil coating layer, the inhibition value of the oil coating layer on corrosion is calculated using an empirical formula or a mathematical model, that is, the inhibition value of the oil coating layer on corrosion = (corrosion rate without oil coating - corrosion rate with oil coating) / corrosion rate with oil coating. In other embodiments, other methods can also be used to determine the inhibition value of the oil coating layer on corrosion, which are not limited here; finally, the dynamic corrosion cost of the heavy industrial equipment for long-term anti-corrosion and anti-rust protection can be determined based on the difference between the long-term corrosion value of the cold wall surface in the heavy industrial equipment and the corrosion inhibition value of the oil coating at the cold wall surface temperature, that is, the difference between the long-term corrosion value of the cold wall surface in the heavy industrial equipment and the corrosion inhibition value of the oil coating at the cold wall surface temperature is used as the dynamic corrosion cost of the heavy industrial equipment for long-term anti-corrosion and anti-rust protection, which will not be repeated here.

[0052] It should be noted that the gas driving potential on the surface of heavy industrial equipment in the present application refers to the driving ability of gas on corrosion or chemical reaction of the equipment surface on the surface of heavy industrial equipment, which is usually determined by the chemical properties of the gas (such as concentration, pressure, activity) and environmental conditions (such as temperature and humidity). The gas driving potential reflects the influence of the gas on the corrosion rate and degree of the equipment surface under specific environmental conditions; the long-term corrosion value of the cold wall in heavy industrial equipment refers to the actual degree of corrosion of the cold wall in heavy industrial equipment after long-term exposure to specific environmental conditions (such as gas driving potential, cold wall temperature, etc.), which reflects the amount of rust accumulation caused by gas corrosion and environmental factors on the equipment surface during long-term operation; the rust inhibition value of heavy industrial equipment coated with oil at the cold wall temperature indicates the degree of reduction in the rust rate of the oiled layer relative to the unoiled state, reflecting the protection ability of the oiled layer against corrosion at a specific temperature; the dynamic corrosion cost indicates the overall corrosion protection effect after considering the oiling protection effect under specific environmental conditions, and is an indicator to measure the long-term anti-corrosion and anti-rust ability of heavy industrial equipment.

[0053] In step 105, the effective corrosion inhibition amount of the long-term anti-corrosion and anti-rust protection is determined according to the static corrosion inhibition rate and the dynamic corrosion cost, and the long-term anti-corrosion and anti-rust protection period of the heavy industrial equipment is adjusted according to the effective corrosion inhibition amount.

[0054] In some embodiments, determining the effective corrosion inhibition amount of long-term corrosion and rust protection according to the static corrosion inhibition rate and the dynamic corrosion cost can be achieved by the following steps: Obtain the influence coefficient of oiling on the static suppression process; Determining a static inhibition cost according to the influence coefficient and the static corrosion inhibition rate; The effective corrosion inhibition amount of long-term corrosion and rust prevention protection is determined according to the static inhibition cost and the dynamic corrosion cost.

[0055] In specific implementation, first, the influence coefficient of the oil layer on the corrosion inhibition effect under static conditions can be obtained through expert experience or oiling corrosion inhibition experiments on industrial equipment. In other embodiments, other methods can also be used to obtain the influence coefficient of the oiling on the static inhibition process, which is not limited here; then, the static inhibition cost is determined according to the product of the static corrosion inhibition rate and the influence coefficient, that is, the product of the static corrosion inhibition rate and the influence coefficient is used as the static inhibition cost, wherein the actual protective effect of the oiling and the corrosion rate under static conditions need to be considered in the calculation process. In other embodiments, other methods can also be used to determine the static inhibition cost, which is not limited here; finally, the static inhibition cost and the dynamic corrosion cost are combined to calculate the effective corrosion inhibition amount of the long-term anti-corrosion and anti-rust protection, which can be determined by the following formula, namely: Effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection = static inhibition cost + dynamic corrosion cost. In other embodiments, linear fitting or machine learning algorithms can also be used to fit the static inhibition cost and the dynamic corrosion cost, and the fitting result is used as the effective corrosion inhibition amount, which will not be repeated here.

[0056] It should be noted that the influence coefficient of oiling on the static inhibition process in the present application represents a quantitative indicator of the effect of the oiling layer on alleviating rust on the equipment surface; the static inhibition cost represents the change in the effect of the oiling layer on alleviating rust on the equipment surface, which measures the degree of inhibition of the rust rate by the oiling layer in the absence of interference from external dynamic factors. The static inhibition cost reflects the quantitative influence of the protective ability of the oiling layer on rust reduction in a static environment; the effective corrosion inhibition amount represents the comprehensive change required to maintain the anti-rust effect on the equipment surface during long-term use, reflecting the comprehensive inhibition effect of the oiling layer on equipment corrosion during the long-term anti-rust protection process.

[0057] In specific implementation, the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment can be adjusted according to the effective corrosion inhibition amount. The following method can be adopted, namely: first, the effective corrosion inhibition amount data of heavy industrial equipment under the existing protection measures are collected, including static inhibition cost and dynamic corrosion cost, and the collected data are fitted to obtain the changing trend of the effective corrosion inhibition amount under different protection periods. For example, it may be found that short-term protection measures have higher initial costs but lower long-term maintenance costs, while long-term protection measures have lower costs but may require more frequent inspections and supplements. The data fitting process can adopt a linear fitting method, which is not limited here; then, the effective corrosion inhibition amount of the existing protection period is compared with the data of the equipment maintenance and replacement period to evaluate whether the current period is economical and effective. For example, if the existing protection period is inspected every 6 months, and the data shows that an inspection every 12 months can ensure similar protection effects. In order to increase the protection cost while reducing the cost, it is necessary to consider the adjustment of the cycle; finally, based on the analysis results, apply optimization models or algorithms (such as cost-benefit analysis) to determine the optimal protection cycle. These models usually need to consider factors such as protection effect, maintenance frequency, material cost, equipment life, etc. For example, use a linear programming model to optimize the protection cycle to minimize the protection cost and maximize the protection effect; adjust the equipment maintenance and protection plan according to the optimization results, including updating protection measures, arranging oiling cycles and maintenance work. For example, if the optimization recommends a comprehensive inspection and oiling every 12 months, the maintenance plan will be updated to this cycle. After the implementation of the new protection cycle, the actual corrosion condition and protection effect of the equipment will be continuously monitored, data will be collected regularly, and whether the new protection cycle has achieved the expected protection effect. For example, under the new cycle arrangement, the corrosion condition of the equipment is effectively controlled and the maintenance cost is in line with expectations, which means that the adjustment is successful and will not be repeated here.

[0058] In addition, in another aspect of the present application, in some embodiments, the present application provides a long-term anti-corrosion and anti-rust protection method system for heavy industrial equipment, referring to Figure 4 , which is a schematic diagram of exemplary hardware and / or software of a long-term anti-corrosion and anti-rust protection system for heavy industrial equipment according to some embodiments of the present application. The long-term anti-corrosion and anti-rust protection system 400 for heavy industrial equipment includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows: The acquisition module 401 in this application is mainly used to spray anti-corrosion and anti-rust protective oil on the surface of heavy industrial equipment, and then collect the image of the rusted area on the oiled surface of the heavy industrial equipment; Processing module 402, in this application, processing module 402 is mainly used to extract the rust morphological characteristics of the surface of the heavy industrial equipment from the rust area image, and determine the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the rust morphological characteristics; The processing module 402 is further used to determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, determine the rust loss coefficient of the oiled surface of the heavy industrial equipment according to the vapor phase corrosion boundary, and then determine the static corrosion inhibition rate of the surface of the heavy industrial equipment according to the rust loss coefficient and the kinematic viscosity; The processing module 402 is further used to obtain frost growth information on the surface of the heavy industrial equipment, determine the cold wall temperature of the heavy industrial equipment according to the frost growth information, and then determine the dynamic corrosion cost of the heavy industrial equipment when the long-term anti-corrosion and anti-rust protection is performed according to the cold wall temperature and the headwind speed on the surface of the heavy industrial equipment; Execution module 403, in the present application, execution module 403 is mainly used to determine the effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection according to the static corrosion inhibition rate and the dynamic corrosion cost, and adjust the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment according to the effective corrosion inhibition amount.

[0059] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned long-term anti-corrosion and anti-rust protection method for heavy industrial equipment.

[0060] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a long-term anti-corrosion and anti-rust protection method for heavy industrial equipment according to some embodiments of the present application. The long-term anti-corrosion and anti-rust protection method for heavy industrial equipment in the above embodiment can be achieved by Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0061] Processor 501 can be a general-purpose central processing unit (CPU), or an application specific integrated circuit (ASIC) or one or more processors for controlling the execution of the long-term anti-corrosion and anti-rust protection method for heavy industrial equipment in the present application.

[0062] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0063] The memory 503 may be a read only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0064] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The long-term anti-corrosion and anti-rust protection method for heavy industrial equipment in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0065] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0066] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0067] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0068] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned long-term anti-corrosion and anti-rust protection method for heavy industrial equipment.

[0069] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0070] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A long-term anti-corrosion and anti-rust protection method for heavy industrial equipment, characterized in that: The steps include: Spraying anti-corrosion and anti-rust protective oil on the surface of heavy industrial equipment, and then collecting images of rusted areas on the oiled surface of the heavy industrial equipment; Extracting rust morphological features of the surface of the heavy industrial equipment from the rust area image, and determining the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the rust morphological features; Determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, determine the rust loss coefficient of the oiled surface of the heavy industrial equipment according to the vapor phase corrosion boundary, and then determine the static corrosion inhibition rate of the surface of the heavy industrial equipment according to the rust loss coefficient and the kinematic viscosity; Acquire frost growth information on the surface of heavy industrial equipment, determine the cold wall temperature of the heavy industrial equipment according to the frost growth information, and then determine the dynamic corrosion cost of the heavy industrial equipment when long-term anti-corrosion and anti-rust protection is performed according to the cold wall temperature and the headwind speed on the surface of the heavy industrial equipment; The effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection is determined according to the static corrosion inhibition rate and the dynamic corrosion cost, and the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment is adjusted according to the effective corrosion inhibition amount.

2. The method according to claim 1, characterized in that Extracting the rust morphological features of the surface of heavy industrial equipment from the rust area image specifically includes: Performing corrosion morphology recognition on the corrosion area image to obtain the corrosion area; The rust morphological characteristics of the surface of the heavy industrial equipment are determined according to the gradient difference of the texture morphology in the rusted area.

3. The method according to claim 1, characterized in that Determining the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment according to the rust morphological characteristics specifically includes: Obtain the motion trajectory when spraying protective oil on the surface of heavy industrial equipment; The rust morphological characteristics are coupled with the motion trajectory by viscosity to obtain the kinematic viscosity of the protective oil sprayed on the surface of heavy industrial equipment.

4. The method according to claim 1, characterized in that Determining the vapor phase corrosion boundary of oiled surfaces of heavy industrial equipment specifically includes: Determine the oiling characteristics of oils applied to surfaces of heavy industrial equipment; Acquire surface images of heavy industrial equipment; determining a vapor phase corrosion domain of an oiled surface of a heavy industrial equipment based on the oiling characteristics and the surface image; The vapor phase corrosion boundary of the oiled surface of heavy industrial equipment is determined by the vapor phase corrosion domain.

5. The method according to claim 1, characterized in that Determining the static corrosion inhibition rate of the surface of heavy industrial equipment by the corrosion loss coefficient and the kinematic viscosity specifically includes: Obtaining corrosion rates on heavy industrial equipment surfaces before oiling; Determining the corrosion extent buffer value of the oil on the surface of heavy industrial equipment by means of the kinematic viscosity and the corrosion rate; Determining a corrosion depth buffer value of the oiling on the surface of heavy industrial equipment according to the rust loss coefficient and the corrosion rate; The static corrosion inhibition rate of the surface of heavy industrial equipment is determined according to the corrosion breadth buffer value and the corrosion depth buffer value.

6. The method according to claim 1, characterized in that Determining the cold wall temperature of heavy industrial equipment according to the frost layer growth information specifically includes: Determining the growth temperature of the frost layer when it is initially formed through the frost layer growth information; Obtain the external environment temperature when the frost layer is initially formed; The cold wall temperature of the heavy industrial equipment is determined according to the external environment temperature and the growth temperature.

7. The method according to claim 1, characterized in that By reading the storage unit of the long-term anti-corrosion and anti-rust system of the heavy industrial equipment, an image of the rusted area on the oiled surface of the heavy industrial equipment is obtained.

8. A long-term anti-corrosion and anti-rust protection system for heavy industrial equipment, characterized in that: include: The acquisition module is used to spray anti-corrosion and anti-rust protective oil on the surface of heavy industrial equipment, and then collect images of rusted areas on the oiled surface of the heavy industrial equipment; A processing module, used for extracting the rust morphological features of the surface of the heavy industrial equipment from the rust area image, and determining the kinematic viscosity of the protective oil sprayed on the surface of the heavy industrial equipment according to the rust morphological features; The processing module is further used to determine the vapor phase corrosion boundary of the oiled surface of the heavy industrial equipment, determine the rust loss coefficient of the oiled surface of the heavy industrial equipment according to the vapor phase corrosion boundary, and then determine the static corrosion inhibition rate of the surface of the heavy industrial equipment according to the rust loss coefficient and the kinematic viscosity; The processing module is further used to obtain frost growth information on the surface of the heavy industrial equipment, determine the cold wall temperature of the heavy industrial equipment according to the frost growth information, and then determine the dynamic corrosion cost of the heavy industrial equipment when the long-term anti-corrosion and anti-rust protection is performed according to the cold wall temperature and the headwind speed on the surface of the heavy industrial equipment; The execution module is used to determine the effective corrosion inhibition amount of long-term anti-corrosion and anti-rust protection according to the static corrosion inhibition rate and the dynamic corrosion cost, and adjust the long-term anti-corrosion and anti-rust protection period of heavy industrial equipment according to the effective corrosion inhibition amount.

9. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the long-term anti-corrosion and anti-rust protection method for heavy industrial equipment according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the long-term anti-corrosion and anti-rust protection method for heavy industrial equipment according to any one of claims 1 to 7 is implemented.

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