Method and system for predicting aging life of waterproof coating

Abstract

The invention relates to the technical field of waterproof coating detection, in particular to a waterproof coating aging life prediction method and system, which not only improve the prediction precision, but also enhance the scientificity and rationality of waterproof coating use. The method comprises the following steps: collecting a use environment parameter set and a use structure vector of a to-be-predicted waterproof coating; the use environment parameter set comprises humidity, temperature, ultraviolet intensity and pH value; the used structure vector comprises a coating area and a coating thickness; taking the use structure vector as a mapping condition, and extracting a corresponding structure aging influence factor from a pre-constructed structure influence factor matrix; obtaining component characteristic information and a standard environment parameter set of the waterproof coating to be predicted; performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain environment aging influence factors; and performing test analysis on the component characteristic information, and determining the standard service life of the waterproof coating under the standard environment parameter set.

Description

Technical Field

[0001] The present invention relates to the technical field of waterproof coating detection, and in particular to a method and system for predicting the aging life of a waterproof coating. Background Art

[0002] With the rapid development of the construction industry, waterproof coatings are increasingly used in various building structures. Waterproof coatings can not only effectively prevent water penetration and extend the service life of buildings, but also improve the overall aesthetics and safety of buildings. Waterproof coatings are affected by a variety of environmental factors during actual use, such as humidity and temperature, which will accelerate the aging process of the coating, causing its performance to deteriorate or even fail. Therefore, accurately predicting the aging life of waterproof coatings is of great significance to ensure the long-term safety and reliability of buildings.

[0003] The aging life of existing waterproof coatings is often based on a series of standard tests under laboratory conditions, such as thermal aging tests, ultraviolet aging tests, etc., which are usually carried out under relatively wide environmental conditions. It is difficult to provide more accurate life prediction guidance for the actual use environment, resulting in a large deviation between the prediction results and the actual situation, affecting the use effect of the waterproof coating. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a waterproof coating aging life prediction method and system which not only improves the prediction accuracy but also enhances the scientificity and rationality of the use of waterproof coatings.

[0005] In a first aspect, the present invention provides a method for predicting the aging life of a waterproof coating, the method comprising:

[0006] Collecting a set of usage environment parameters and a usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity and pH; the usage structure vector includes coating area and coating thickness;

[0007] Using the structure vector as a mapping condition, extracting the corresponding structure aging impact factor from the pre-constructed structure impact factor matrix;

[0008] Obtaining component characteristic information and a standard environmental parameter set of the waterproof coating to be predicted;

[0009] Performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain an environmental aging impact factor;

[0010] Conducting test analysis on the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set;

[0011] Based on the structural aging influencing factor and the environmental aging influencing factor, the standard service life is corrected to obtain the actual aging life of the waterproof coating to be predicted.

[0012] Furthermore, the structural impact factor matrix is:

[0013]

[0014] Where p represents the number of different coating structures, n represents the number of aging influencing factors corresponding to each coating structure, and m pn Represents the value of the nth aging influence factor under the pth coating structure.

[0015] Furthermore, the method for constructing the structural impact factor matrix includes:

[0016] Establish quantitative relationships between structural parameters and coating aging life;

[0017] Collect coating aging life data under different structural parameters;

[0018] Process and analyze the collected coating aging life data, including data cleaning, sorting and statistical steps;

[0019] Based on the processed coating aging life data, a mathematical model is established to describe the relationship between structural parameters and coating aging life;

[0020] The established mathematical model is used to calculate the aging influence factor under each structural parameter and fill it into the corresponding matrix cell to obtain the structural influence factor matrix.

[0021] Furthermore, the calculation formula of the environmental aging impact factor is:

[0022]

[0023] Where i represents different environmental parameters; P i Indicates the value of the actual use environment parameter i; P i，0 Indicates the value of standard environmental parameter i; P imax and P imin are the maximum and minimum values ​​of parameter i, respectively, used to normalize the difference value; w i is the weight coefficient of parameter i.

[0024] Furthermore, the formula for calculating the actual aging life of the waterproof coating to be predicted is:

[0025]

[0026] Among them, L a Indicates the actual aging life of the waterproof coating to be predicted; Lb Indicates the standard service life of the waterproof coating to be predicted; a i represents the correction coefficient of the i-th structural aging factor; F s，i represents the i-th structural aging impact factor value extracted from the structural impact factor matrix; n represents the total number of structural aging impact factors; b j represents the correction coefficient of the jth environmental aging factor; F e，j represents the jth environmental aging impact factor value obtained through deviation analysis; m represents the total number of environmental aging impact factors.

[0027] Furthermore, the method for obtaining the component characteristic information of the waterproof coating to be predicted includes:

[0028] The main chemical components of the coating are obtained through infrared spectroscopy analysis; the molecular weight and molecular structure of each component in the coating are obtained through mass spectrometry analysis; detailed information on the molecular structure of the coating is obtained through nuclear magnetic resonance analysis; and the volatile components in the coating are obtained through gas chromatography-mass spectrometry analysis;

[0029] The density of the coating is measured by an electronic density meter; the viscosity of the coating is measured by a rotational viscometer; the solid content of the coating is measured by the drying loss method; the volatile organic compound content in the coating is measured by gas chromatography;

[0030] The acid and alkali resistance of the coating is obtained by immersing the coating samples in acid and alkali solutions of different concentrations; the solvent resistance of the coating is obtained by immersing the coating samples in different solvents; the corrosion resistance of the coating in a salt spray environment is obtained through the salt spray test;

[0031] All test results are used to obtain information on the chemical composition, physical properties and chemical resistance of the coating; the test results are collated to obtain information on the characteristics of the coating composition.

[0032] Furthermore, the method for obtaining the standard service life includes:

[0033] According to the collected standard environmental parameter set, set up the aging test environment;

[0034] Prepare test samples according to the construction requirements and usage structure vectors of the coating;

[0035] Place the prepared test samples in the designed aging test environment and conduct aging tests according to the predetermined time period;

[0036] By comparing and analyzing the performance changes of the coating before and after the aging test, the standard service life of the coating under the standard environmental parameter set is estimated.

[0037] On the other hand, the present application also provides a waterproof coating aging life prediction system, the system comprising:

[0038] A data collection module collects a set of usage environment parameters and a usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity and pH; the usage structure vector includes coating area and coating thickness;

[0039] A structural influence factor extraction module, using the structural vector as a mapping condition, extracts the corresponding structural aging influence factor from a pre-constructed structural influence factor matrix;

[0040] A characteristic information collection module obtains the component characteristic information and standard environmental parameter set of the waterproof coating to be predicted;

[0041] A deviation analysis module, performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain an environmental aging impact factor;

[0042] A standard service life determination module is used to test and analyze the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set;

[0043] The life correction module corrects the standard service life based on the structural aging influence factor and the environmental aging influence factor to obtain the actual aging life of the waterproof coating to be predicted.

[0044] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0045] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0046] Compared with the prior art, the present invention has the following beneficial effects: the method can more accurately reflect the aging of waterproof coatings in actual use environments by comprehensively considering the use environment parameters and the use structure vectors; through deviation analysis and test analysis, the aging influencing factors of coatings in specific environments can be more accurately determined, thereby providing more accurate aging life prediction; different building structures and environmental conditions have different effects on the aging life of coatings, and the method can make personalized predictions based on these differences;

[0047] The method not only takes into account external environmental factors, but also the internal structural factors of the coating, so as to more comprehensively evaluate the aging of the coating. At the same time, the method also takes into account the component characteristic information of the coating itself, further improving the accuracy and reliability of the prediction.

[0048] This method can be applied in actual use environments and provide a scientific basis for the selection and use of waterproof coatings. By predicting the aging life of waterproof coatings, it can help builders and owners better plan maintenance and replacement work, extend the service life of buildings, and improve safety and reliability.

[0049] Since this method is based on actual environmental parameters, the prediction results can be adjusted dynamically as environmental conditions change. This means that this method can adapt to the needs of waterproof coating aging life prediction in different regions, seasons and climate conditions.

[0050] In summary, this waterproof coating aging life prediction method not only improves the prediction accuracy, but also enhances the scientificity and rationality of the use of waterproof coatings, providing strong support for the selection, use and maintenance of waterproof coatings. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the present invention;

[0052] Figure 2 It is a flowchart of the method for constructing the structural impact factor matrix;

[0053] Figure 3 It is a structural diagram of a waterproof coating aging life prediction system. DETAILED DESCRIPTION

[0054] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.

[0055] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0056] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0057] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0058] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0059] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0060] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0061] The present application is described below in conjunction with the drawings in the present application.

[0062] Embodiment 1: Figure 1 to Figure 2 As shown, a method for predicting the aging life of a waterproof coating of the present invention specifically comprises the following steps:

[0063] S1. Collecting a set of usage environment parameters and a usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity and pH; the usage structure vector includes coating area and coating thickness;

[0064] The use environment parameter set refers to the various environmental conditions that waterproof coatings face during actual use. These conditions will directly affect the aging speed and life of the coating; the specific parameters include:

[0065] Humidity: A high humidity environment will accelerate the decomposition and corrosion of certain components in the coating, resulting in a decrease in coating performance; therefore, it is necessary to accurately record humidity data in the coating use environment;

[0066] Temperature: A high temperature environment will accelerate the rate of chemical reactions inside the coating, causing the coating performance to decline rapidly; while a low temperature environment may cause incomplete curing of the coating, affecting the overall performance of the coating; therefore, it is necessary to record the temperature data in the coating use environment;

[0067] UV intensity: When exposed to strong UV rays for a long time, the organic matter in the paint will undergo photochemical reactions, causing the coating to fade and performance to deteriorate; therefore, it is necessary to record the UV intensity data in the environment where the paint is used;

[0068] pH: Some coatings may undergo chemical changes in an environment with high pH, ​​resulting in reduced coating performance; therefore, it is necessary to record the pH data of the coating use environment;

[0069] The structural vector refers to the structural characteristics of the coating itself that affect the aging life of the coating; the specific parameters include:

[0070] Coating area: The size of the coating area will affect the amount of paint used and the uniformity of the coating; the larger the coating area, the greater the amount of paint used, and the uniformity of the coating may also be affected, which will affect the aging life of the coating;

[0071] Coating thickness: If the coating is too thin, it will not be able to completely cover the substrate, affecting the waterproof effect; if the coating is too thick, it will cause excessive internal stress in the coating, making it prone to cracking and falling off; therefore, it is necessary to accurately record the coating thickness data.

[0072] In this step, by collecting the environmental parameter set and usage structure vector of the waterproof coating during actual use, the key factors affecting the aging life of the coating can be accurately obtained; a solid foundation is provided for subsequent analysis and prediction, ensuring the accuracy and reliability of the prediction results; accurate environmental parameters and usage structure vector data make the aging life prediction of the waterproof coating more accurate; compared with the traditional prediction method based on laboratory standard tests, this step takes into account the complexity and diversity of the actual use environment, so it can be closer to the actual situation, reduce prediction bias, and improve the practicality and accuracy of the prediction; by understanding the aging speed and life of the coating in the actual use environment, the use effect of the coating can be further optimized; for example, according to the prediction results, the formulation, construction process or maintenance strategy of the coating can be adjusted to extend the service life of the coating and improve the waterproof effect, thereby ensuring the long-term safety and reliability of the building; in summary, step S1 provides strong support for the aging life prediction of the waterproof coating and provides a solid guarantee for the long-term safety and reliability of the building through the beneficial effects of accurately obtaining key data, improving prediction accuracy, optimizing the use effect of the coating, and promoting technological innovation.

[0073] S2, using the structure vector as a mapping condition, extracting the corresponding structure aging impact factor from a pre-constructed structure impact factor matrix;

[0074] The method for constructing the structural impact factor matrix includes:

[0075] The goal of constructing a structural influencing factor matrix is ​​to establish a quantitative relationship between structural parameters such as coating area and coating thickness and the aging life of the coating; this will help to quickly predict the aging life of the coating based on specific structural parameters in the future;

[0076] In order to construct the structural influence factor matrix, it is necessary to collect the coating aging life data under different structural parameters; it can reflect the aging behavior of the coating under different structural parameters;

[0077] Process and analyze the collected experimental data, including data cleaning, sorting and statistical steps. Through data analysis, we can preliminarily understand the influence trend and law of different structural parameters on the aging life of coatings.

[0078] Based on the processed experimental data, a mathematical model is established to describe the relationship between structural parameters and coating aging life; the establishment of the model can reflect the complex effects of different structural parameters on coating aging life;

[0079] The established mathematical model is used to calculate the aging influence factor under each structural parameter, and the aging influence factor is filled into the corresponding matrix cell to obtain the structural influence factor matrix;

[0080] The structural impact factor matrix is:

[0081]

[0082] Where p represents the number of different coating structures, n represents the number of aging influencing factors corresponding to each coating structure, and m pn Represents the value of the nth aging influence factor under the pth coating structure.

[0083] In this step, by collecting and analyzing a large amount of experimental data, a mathematical model between structural parameters and coating aging life is established, which can accurately reflect the influence of different structural parameters on the aging life of coatings; the aging influence factors calculated based on this model can more accurately predict the aging life of coatings in actual use environments, thereby reducing the deviation between the predicted results and the actual situation; the establishment of the structural influence factor matrix makes it possible to quickly obtain the prediction results when predicting the aging life of coatings in the future by simply extracting the corresponding aging influence factors in the matrix according to the specific structural parameters such as coating area and coating thickness; it avoids tedious repeated experiments and calculation processes and significantly improves the prediction efficiency; the construction of the structural influence factor matrix helps to deeply understand the influence of different structural parameters on the aging life of coatings; in practical applications, the appropriate coating structure and coating type can be selected according to the specific needs and use environment of the building to extend the service life of the building and improve its safety and reliability; the structural influence factor matrix established in this step provides important data support and theoretical basis for the research and development of waterproof coatings; by continuously optimizing and improving the aging influence factors in the matrix, it can promote the continuous progress and development of waterproof coating technology to meet the growing construction needs.

[0084] S3, obtaining component characteristic information of the waterproof coating to be predicted and a set of standard environmental parameters;

[0085] The method for obtaining the component characteristic information of the waterproof coating to be predicted comprises:

[0086] The main chemical components of the coating are obtained through infrared spectroscopy analysis; the molecular weight and molecular structure of each component in the coating are obtained through mass spectrometry analysis; detailed information on the molecular structure of the coating is obtained through nuclear magnetic resonance analysis; and the volatile components in the coating are obtained through gas chromatography-mass spectrometry analysis;

[0087] The density of the coating is measured by an electronic density meter; the viscosity of the coating is measured by a rotational viscometer; the solid content of the coating is measured by the drying loss method; the volatile organic compound content in the coating is measured by gas chromatography;

[0088] The acid and alkali resistance of the coating is obtained by immersing the coating samples in acid and alkali solutions of different concentrations; the solvent resistance of the coating is obtained by immersing the coating samples in different solvents; the corrosion resistance of the coating in a salt spray environment is obtained through the salt spray test;

[0089] Record all test results in detail to obtain information on the chemical composition, physical properties and chemical resistance of the coating; collate the test results to obtain information on the characteristics of the coating composition;

[0090] The method for obtaining the standard environmental parameter set includes:

[0091] Define standard environmental parameters according to the use environment and requirements of waterproof coatings; standard environmental parameters include temperature, humidity, UV intensity and pH, simulating the environmental conditions of coatings in actual use;

[0092] Use environmental measurement equipment to accurately measure standard environmental parameters; ensure that these parameters remain consistent and accurate in subsequent experiments and predictions;

[0093] In the laboratory, environmental simulation equipment is used to simulate standard environments to simulate the aging process of coatings in actual use;

[0094] All measured environmental parameters are recorded and saved in the database; these data will be used for subsequent analysis and prediction to ensure the accuracy and reliability of the results.

[0095] In this step, the chemical composition, physical properties and chemical resistance information of the waterproof coating to be predicted can be obtained comprehensively and accurately, which is helpful for in-depth understanding of the performance characteristics and aging behavior of the coating; when obtaining the standard environmental parameter set, attention is paid to the definition, measurement and simulation of the parameters to ensure that these parameters remain consistent and accurate in subsequent experiments and predictions; it is helpful to eliminate the influence of environmental factors on the prediction results and improve the accuracy and reliability of the prediction; by obtaining the component characteristic information and standard environmental parameter set of the coating, this step provides a scientific basis for the subsequent prediction of the aging life of the coating; the component characteristic information and environmental parameter set obtained in this step can be used not only for the prediction of the aging life of the coating, but also for the performance evaluation and selection of the coating; by comparing the composition and performance characteristics of different coatings, as well as their aging behavior in different environments, it is possible to more scientifically select coatings suitable for specific use environments and requirements; through in-depth research and analysis of the composition, performance and environmental adaptability of the coating, new coating formulas and improvement directions can be discovered, thereby developing waterproof coatings with better performance and better adaptability to different use environments.

[0096] S4, performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain an environmental aging impact factor;

[0097] Methods for obtaining environmental aging influencing factors include:

[0098] By comparing the differences between actual environmental parameters and standard environmental parameters, the impact of such differences on coating aging can be quantified; the deviation between the actual use environment and the standard environment of each environmental parameter can be calculated;

[0099] Collect experimental data on the aging rate of coatings under different environmental conditions; use statistical methods to analyze the relationship between environmental parameters and aging rate, and obtain a relationship model between environmental parameters and aging rate;

[0100] According to the established relationship model between environmental parameters and aging rate, the multiple of the aging rate in the actual use environment relative to the aging rate in the standard environment is calculated. The multiple of the aging rate is the environmental aging impact factor.

[0101] The calculation formula of environmental aging impact factor is:

[0102]

[0103] Where i represents different environmental parameters; P i Indicates the value of the actual use environment parameter i; P i，0 Indicates the value of standard environmental parameter i; P imax and P imin are the maximum and minimum values ​​of parameter i, respectively, used to normalize the difference value; w i is the weight coefficient of parameter i.

[0104] In this step, by comparing the difference between the actual environmental parameters and the standard environmental parameters and quantifying the impact of this difference on the aging of the paint, this step can more accurately evaluate the role of environmental factors in the aging process of the paint; it helps to reveal the specific degree of influence of different environmental factors on the aging of the paint, thereby providing a more reliable basis for subsequent life prediction; by collecting experimental data on the aging rate of the paint under different environmental conditions and using statistical methods to analyze the relationship between environmental parameters and the aging rate, this step can establish a relationship model between environmental parameters and aging rate; this model can reflect the specific impact of changes in environmental parameters on the aging rate of the paint, and provide a scientific basis for predicting the aging life of the paint under the actual use environment; based on the established relationship model between environmental parameters and aging rate, this step can calculate The multiple of the aging rate in the actual use environment relative to the aging rate in the standard environment is the environmental aging influencing factor; this factor can more accurately reflect the impact of the actual use environment on the aging life of the paint, thereby improving the accuracy of the paint aging life prediction; normalization processing enhances the applicability of the model: when calculating the environmental aging influencing factor, by introducing the maximum and minimum values ​​of the parameters for normalization processing, the influence of different parameter dimensions and value ranges on the model can be eliminated, thereby enhancing the applicability and accuracy of the model; by introducing weight coefficients to reflect the importance of different environmental parameters to the paint aging process, this step can more flexibly adapt to the paint aging prediction needs under different environmental conditions; this helps to more accurately evaluate the comprehensive impact of different environmental factors on paint aging, and improve the accuracy and reliability of the prediction.

[0105] S5. Performing test analysis on the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set;

[0106] The method for obtaining the standard service life includes:

[0107] Design corresponding aging test conditions based on the collected standard environmental parameter set; the designed aging test conditions can simulate the most unfavorable conditions that the coating may encounter in the actual use environment to ensure the accuracy and reliability of the test results;

[0108] Prepare test samples that meet the standards according to the construction requirements and usage structure vectors of the coating; the samples should ensure that the coating is uniform and defect-free, and meet the coating thickness and area requirements in actual use;

[0109] Place the prepared test samples in the designed aging test environment and conduct aging tests according to the predetermined time period; during the test, the appearance changes, performance degradation and possible failure modes of the coating should be regularly observed and recorded;

[0110] By comparing and analyzing the performance changes of the coating before and after the aging test, combined with the composition characteristic information of the coating and the aging test conditions, the standard service life of the coating under the standard environmental parameter set is estimated.

[0111] In this step, by designing aging test conditions that can simulate the most unfavorable conditions that the coating may encounter in the actual use environment, the accuracy and reliability of the test results can be ensured; it helps to more accurately estimate the standard service life of the coating under the standard environmental parameter set, thereby reducing the deviation between the predicted results and the actual situation; prepare test samples that meet the standards according to the construction requirements of the coating and the use of structural vectors to ensure that the coating is uniform and defect-free, and meets the coating thickness and area requirements in actual use; it helps to more realistically reflect the performance changes of the coating in the aging test and improve the representativeness of the test results; during the aging test, regularly observe and record the appearance changes, performance degradation and possible failure modes of the coating; it helps to deeply understand the change rules of the coating at different aging stages and provide rich data support for subsequent life estimation; by comparing and analyzing the performance changes of the coating before and after the aging test, combined with the composition of the coating Characteristic information and aging test conditions, using professional evaluation methods and models to estimate the life, can more scientifically predict the standard service life of the coating under the standard environmental parameter set; the standard service life data obtained can provide an important reference for the selection, construction and maintenance of waterproof coatings in practical applications; it helps to ensure that the coating maintains good waterproof performance during long-term use, extends the service life of the building, and improves overall safety and reliability; step S5 improves the prediction accuracy of the standard service life of waterproof coatings by designing reasonable aging test conditions, optimizing test sample preparation, comprehensively recording and analyzing test data, and scientifically estimating the life; it not only helps to gain a deep understanding of the performance change laws of coatings, but also provides strong support for the selection and use of coatings in practical applications; through the implementation of this step, the performance and service life of waterproof coatings can be more effectively evaluated, contributing to the sustainable development of the construction industry.

[0112] S6. Based on the structural aging influencing factor and the environmental aging influencing factor, the standard service life is corrected to obtain the actual aging life of the waterproof coating to be predicted;

[0113] According to the structural aging influencing factors extracted from the structural influencing factor matrix, a correction coefficient is assigned to each influencing factor with reference to historical data or industry standards; this coefficient reflects the relative influence of the influencing factor on the aging life of the coating;

[0114] For the environmental aging influencing factors obtained by the deviation analysis between the use environmental parameter set and the standard environmental parameter set, the corresponding correction coefficients are determined; these coefficients take into account the acceleration or retardation effect of the actual use environment on the aging of the coating;

[0115] The method for obtaining the actual aging life of the waterproof coating to be predicted includes:

[0116] The structural aging factors and environmental aging factors are integrated; the two factors are weighted to reflect their relative importance in the coating aging process;

[0117] Construct a life correction model to combine the integrated influencing factors with the standard service life to predict the actual aging life of the coating;

[0118] Substitute the structural aging influencing factors and environmental aging influencing factors into the model for calculation to obtain the actual aging life of the waterproof coating to be predicted;

[0119] Verify the prediction results by comparing with the coating aging in the actual use environment;

[0120] The formula for calculating the actual aging life of the waterproof coating to be predicted is:

[0121]

[0122] Among them, L a Indicates the actual aging life of the waterproof coating to be predicted; L b Indicates the standard service life of the waterproof coating to be predicted; a i represents the correction coefficient of the i-th structural aging factor; F s，i represents the i-th structural aging impact factor value extracted from the structural impact factor matrix; n represents the total number of structural aging impact factors; b j represents the correction coefficient of the jth environmental aging factor; F e，j represents the jth environmental aging impact factor value obtained through deviation analysis; m represents the total number of environmental aging impact factors.

[0123] In this step, by comprehensively considering the structural aging influencing factors and the environmental aging influencing factors, the actual aging life of the waterproof coating can be predicted more accurately; it helps to avoid the deviation caused by the traditional prediction method due to ignoring the actual use environment, thereby improving the accuracy and practicality of the prediction; accurate prediction results can provide valuable reference information for architectural designers, construction personnel and coating manufacturers, thereby optimizing the use effect of the coating and extending the service life of the building; by predicting the actual aging life of the waterproof coating, a more scientific maintenance plan for the building can be formulated; it helps to timely discover and deal with coating aging problems, avoid potential leakage and damage, thereby reducing maintenance costs and improving the overall performance of the building; in summary, step S6 provides a more accurate and practical method for predicting the actual aging life of the waterproof coating by comprehensively considering the structural aging influencing factors and the environmental aging influencing factors; it helps to optimize the selection and use of coatings and reduce maintenance costs.

[0124] Embodiment 2: Figure 3 As shown, a waterproof coating aging life prediction system of the present invention specifically includes the following modules:

[0125] A data collection module collects a set of usage environment parameters and a usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity and pH; the usage structure vector includes coating area and coating thickness;

[0126] A structural influence factor extraction module, using the structural vector as a mapping condition, extracts the corresponding structural aging influence factor from a pre-constructed structural influence factor matrix;

[0127] A characteristic information collection module obtains the component characteristic information and standard environmental parameter set of the waterproof coating to be predicted;

[0128] A deviation analysis module, performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain an environmental aging impact factor;

[0129] A standard service life determination module is used to test and analyze the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set;

[0130] The life correction module corrects the standard service life based on the structural aging influence factor and the environmental aging influence factor to obtain the actual aging life of the waterproof coating to be predicted.

[0131] The system comprehensively collects the environmental parameters that affect the aging of waterproof coatings through the data collection module. Comprehensive consideration of these parameters enables the system to more accurately simulate the actual use environment, thereby providing more accurate life prediction;

[0132] The system introduces a structural influence factor extraction module, which uses structural vectors based on coating area and coating thickness to extract the corresponding structural aging influence factors from the pre-built structural influence factor matrix; it fully considers the influence of different usage structures on coating aging and improves the accuracy of prediction;

[0133] The characteristic information collection module obtains the component characteristic information of the waterproof coating to be predicted, and by combining it with the test analysis results under the standard environmental parameter set, the aging life of the coating under specific conditions can be determined more accurately;

[0134] The deviation analysis module performs deviation analysis on the use environment parameter set and the standard environment parameter set to obtain the environmental aging impact factor. This step can quantify the difference between the actual use environment and the standard environment, providing a basis for subsequent life correction. The life correction module corrects the standard service life based on the structural aging impact factor and the environmental aging impact factor, thereby obtaining a prediction result that is closer to reality.

[0135] Compared with the traditional prediction method based on laboratory standard tests, this system can make more accurate life predictions for the actual use environment; by comprehensively considering multiple influencing factors, the system can reduce the deviation between the prediction results and the actual situation, and improve the accuracy and reliability of the prediction; accurate prediction of waterproof coating aging life helps to replace aging coatings in time, thereby extending the service life of the building and improving overall safety and reliability;

[0136] In summary, the waterproof coating aging life prediction system has significant advantages in solving the waterproof coating aging life prediction problem, and can provide more accurate and reliable prediction results, providing strong guarantees for the long-term safe operation of buildings.

[0137] The various variations and specific embodiments of the waterproof coating aging life prediction method in the aforementioned embodiment 1 are also applicable to the waterproof coating aging life prediction system of this embodiment. Through the aforementioned detailed description of the waterproof coating aging life prediction method, those skilled in the art can clearly know the implementation method of the waterproof coating aging life prediction system in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0138] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and run on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method embodiment for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0139] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting the aging life of a waterproof coating, characterized in that: The method comprises: Collecting a set of usage environment parameters and a usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity and pH; the usage structure vector includes coating area and coating thickness; Using the structure vector as a mapping condition, extracting the corresponding structure aging impact factor from the pre-constructed structure impact factor matrix; Obtaining component characteristic information and a standard environmental parameter set of the waterproof coating to be predicted; Performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain an environmental aging impact factor; Conducting test analysis on the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set; Based on the structural aging influencing factor and the environmental aging influencing factor, the standard service life is corrected to obtain the actual aging life of the waterproof coating to be predicted.

2. The waterproof coating aging life prediction method according to claim 1, characterized in that: The structural impact factor matrix is: Where p represents the number of different coating structures, n represents the number of aging influencing factors corresponding to each coating structure, and m pn Represents the value of the nth aging influence factor under the pth coating structure.

3. The waterproof coating aging life prediction method according to claim 2, characterized in that: The method for constructing the structural impact factor matrix includes: Establish quantitative relationships between structural parameters and coating aging life; Collect coating aging life data under different structural parameters; Process and analyze the collected coating aging life data, including data cleaning, sorting and statistical steps; Based on the processed coating aging life data, a mathematical model is established to describe the relationship between structural parameters and coating aging life; The established mathematical model is used to calculate the aging influence factor under each structural parameter and fill it into the corresponding matrix cell to obtain the structural influence factor matrix.

4. The waterproof coating aging life prediction method according to claim 1, characterized in that: The calculation formula of environmental aging impact factor is: Where i represents different environmental parameters; P i Indicates the value of the actual use environment parameter i; P i，0 Indicates the value of standard environmental parameter i; P imax and P imin are the maximum and minimum values ​​of parameter i, respectively, used to normalize the difference value; w i is the weight coefficient of parameter i.

5. The waterproof coating aging life prediction method according to claim 1, characterized in that: The formula for calculating the actual aging life of the waterproof coating to be predicted is: Among them, L a Indicates the actual aging life of the waterproof coating to be predicted; L b Indicates the standard service life of the waterproof coating to be predicted; a i represents the correction coefficient of the i-th structural aging factor; F s，i represents the i-th structural aging impact factor value extracted from the structural impact factor matrix; n represents the total number of structural aging impact factors; b j represents the correction coefficient of the jth environmental aging factor; F e，j represents the jth environmental aging impact factor value obtained through deviation analysis; m represents the total number of environmental aging impact factors.

6. The waterproof coating aging life prediction method according to claim 1, characterized in that: The method for obtaining the component characteristic information of the waterproof coating to be predicted comprises: The main chemical components of the coating are obtained through infrared spectroscopy analysis; the molecular weight and molecular structure of each component in the coating are obtained through mass spectrometry analysis; detailed information on the molecular structure of the coating is obtained through nuclear magnetic resonance analysis; and the volatile components in the coating are obtained through gas chromatography-mass spectrometry analysis; The density of the coating is measured by an electronic density meter; the viscosity of the coating is measured by a rotational viscometer; the solid content of the coating is measured by the drying loss method; the volatile organic compound content in the coating is measured by gas chromatography; The acid and alkali resistance of the coating is obtained by immersing the coating samples in acid and alkali solutions of different concentrations; the solvent resistance of the coating is obtained by immersing the coating samples in different solvents; the corrosion resistance of the coating in a salt spray environment is obtained through the salt spray test; All test results are used to obtain information on the chemical composition, physical properties and chemical resistance of the coating; the test results are collated to obtain information on the characteristics of the coating composition.

7. The waterproof coating aging life prediction method according to claim 1, characterized in that: Methods for obtaining standard service life include: According to the collected standard environmental parameter set, set up the aging test environment; Prepare test samples according to the construction requirements and usage structure vectors of the coating; Place the prepared test samples in the designed aging test environment and conduct aging tests according to the predetermined time period; By comparing and analyzing the performance changes of the coating before and after the aging test, the standard service life of the coating under the standard environmental parameter set is estimated.

8. A waterproof coating aging life prediction system, characterized in that: The system comprises: A data collection module collects a set of usage environment parameters and a usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity and pH; the usage structure vector includes coating area and coating thickness; A structural influence factor extraction module, using the structural vector as a mapping condition, extracts the corresponding structural aging influence factor from a pre-constructed structural influence factor matrix; A characteristic information collection module obtains the component characteristic information and standard environmental parameter set of the waterproof coating to be predicted; A deviation analysis module, performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain an environmental aging impact factor; A standard service life determination module is used to test and analyze the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set; The life correction module corrects the standard service life based on the structural aging influence factor and the environmental aging influence factor to obtain the actual aging life of the waterproof coating to be predicted.

9. An electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, wherein: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.

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