Steel structure anticorrosive coating service life prediction method and system based on data analysis
By using data analysis and sensor technology, the corrosion rate and lifespan of anti-corrosion coatings for steel structures can be accurately predicted, solving the problem of steel structure corrosion, extending service life, and reducing the risk of structural collapse.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGBO KEXIN CORROSION CONTROL ENG
- Filing Date
- 2026-01-16
- Publication Date
- 2026-05-08
AI Technical Summary
Existing technologies fail to effectively predict the lifespan of anti-corrosion coatings for steel structures, leading to seawater corrosion and potentially causing structural collapse.
By using data analysis methods, we can obtain the geographical information of the steel structure location, determine the stratification standard, analyze the thickness and corrosion rate of the anti-corrosion coating, calculate the remaining service life, and correct the coating corrosion rate using sensor data and Hilbert transform algorithm to determine whether the coating needs to be thickened.
It enables accurate prediction of the lifespan of anti-corrosion coatings on steel structures, allowing for timely thickening of the coating, extending the service life of steel structures, and reducing the risk of structural collapse.
Smart Images
Figure CN121997579A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data analysis and processing technology, specifically to a method and system for predicting the lifespan of anti-corrosion coatings for steel structures based on data analysis. Background Technology
[0002] Steel structures are engineering structural systems that use steel as the main load-bearing component and are assembled through welding, bolting, or riveting. This type of structure is widely used in modern architecture, from skyscrapers to large bridges, from industrial plants to stadiums.
[0003] Because seawater is corrosive, if a steel structure is installed in seawater without anti-corrosion design on its surface, its service life will be significantly shortened. However, the anti-corrosion coating on the steel structure surface will also be corroded by seawater. After a certain period of time, the seawater will completely corrode the anti-corrosion coating, which in turn will corrode the steel structure. If the lifespan of the anti-corrosion coating is not predicted, seawater will corrode the steel structure, which may lead to the collapse of the object supported by the steel structure. Summary of the Invention
[0004] To address the aforementioned technical problems, a data analysis-based method and system for predicting the lifespan of anti-corrosion coatings on steel structures is provided. This technical solution solves the problem mentioned in the background art, where seawater corrosion of steel structures occurs without prediction of the lifespan of anti-corrosion coatings, which can lead to the collapse of objects supported by the steel structures.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A data analysis-based method for predicting the lifespan of anti-corrosion coatings on steel structures includes: Obtain the geographical information of the steel structure's location, perform location analysis on the geographical information of the steel structure's location, and determine the layering standard of the steel structure; Based on the layered standard of steel structures, the thickness of anti-corrosion coatings of different depths is analyzed to determine the corrosion rate of anti-corrosion coatings of different depths. Based on the corrosion rate of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings is calculated to obtain the remaining service life of steel structures at different depths. The remaining service life of steel structures at different depths was compared and analyzed to determine whether it is necessary to thicken the anti-corrosion coating of the steel structure.
[0006] Preferably, the steps of obtaining the geographical information of the steel structure's location, performing location analysis on the geographical information of the steel structure's location, and determining the layering criteria of the steel structure specifically include the following steps: Obtain the construction drawings of the steel structure, perform location determination processing on the construction drawings of the steel structure, and determine the installation location of the steel structure; Based on the BeiDou satellite navigation system, the latitude and longitude matching of the steel structure installation location is performed to obtain the geographical information of the steel structure's location. Based on the geographical information of the steel structure's location, data retrieval and processing were performed on the distribution of seawater salinity at the steel structure's installation location to obtain seawater salinity information at different depths. Depth data extraction and processing were performed on seawater salinity information at different depths to obtain the layering standards for steel structures.
[0007] Preferably, the step of analyzing the thickness of anti-corrosion coatings of different depths based on the layering standard of steel structures to determine the corrosion rate of anti-corrosion coatings of different depths specifically includes the following steps: The construction drawings of the steel structure are processed to extract the construction content, and the installation depth and initial thickness of the anti-corrosion coating of the steel structure are obtained. Based on the layering standard of steel structures, the installation depth of steel structures is used to perform layering treatment to determine the location of steel structures at different depths; Based on the location of the steel structure at different depths, data collection and processing are performed on the anti-corrosion coating of the steel structure to obtain the real-time thickness of the anti-corrosion coating at different depths. Based on the initial thickness of the anti-corrosion coating on the steel structure, the real-time thickness of the anti-corrosion coating at different depths is calculated to obtain the corrosion rate of the anti-corrosion coating at different depths.
[0008] Preferably, the step of calculating the real-time thickness of the anti-corrosion coating of the steel structure at different depths based on the initial thickness of the anti-corrosion coating of the steel structure to obtain the corrosion rate of the anti-corrosion coating of the steel structure at different depths specifically includes the following steps: Obtain the project proposal for the steel structure, extract and process the information from the project proposal, and obtain the construction completion date of the steel structure. The electronic device is processed to read and process time data to obtain the real-time date of the steel structure's location; The difference between the completion date of the steel structure construction and the real-time date of the steel structure's location is calculated to determine the duration of the steel structure's use. Based on the initial thickness of the anti-corrosion coating of the steel structure, the difference calculation is performed on the real-time thickness of the anti-corrosion coating of the steel structure at different depths to obtain the thickness variation difference of the anti-corrosion coating of the steel structure at different depths. Based on the service life of the steel structure, the thickness variation difference of the anti-corrosion coating of the steel structure at different depths was calculated to obtain the corrosion rate of the anti-corrosion coating of the steel structure at different depths.
[0009] Preferably, the step of calculating the real-time thickness of the anti-corrosion coating of the steel structure based on the corrosion rate of the anti-corrosion coating at different depths to obtain the remaining service life of the steel structure at different depths specifically includes the following steps: Data retrieval and processing are performed on sensor data stored in the database system to obtain vibration data of the steel structure; Based on the Hilbert transform algorithm, data extraction and processing are performed on the vibration data of steel structures to obtain the envelope of the vibration data of steel structures. Data extraction and processing are performed on the envelope of vibration data of steel structures to obtain high-frequency impact data of steel structures; Comparative analysis of high-frequency impact data of steel structures was conducted to determine whether it is necessary to correct the corrosion rate of anti-corrosion coatings at different depths. Data analysis and calculation are performed on the real-time thickness of the anti-corrosion coating on the steel structure to obtain the remaining service life of the steel structure at different depths.
[0010] Preferably, the comparative analysis of high-frequency impact data of the steel structure to determine whether it is necessary to correct the corrosion rate of the anti-corrosion coating at different depths of the steel structure specifically includes the following steps: The high-frequency impact data of the steel structure and the set high-frequency impact data threshold are judged and processed. If the high-frequency impact data of the steel structure is less than the set high-frequency impact data threshold, the vibration of the steel structure will not cause the anti-corrosion coating of the steel structure to peel off. If the high-frequency impact data of the steel structure is greater than or equal to the set high-frequency impact data threshold, the vibration of the steel structure will cause the anti-corrosion coating of the steel structure to peel off. The corrosion rate of the anti-corrosion coating of the steel structure at different depths is corrected to obtain the corrected corrosion rate of the anti-corrosion coating of the steel structure at different depths.
[0011] Preferably, the step of correcting the corrosion rate of the anti-corrosion coating for steel structures at different depths to obtain the corrected corrosion rate specifically includes the following steps: Input the high-frequency impact data into the table of vibration effects on anti-corrosion coatings to determine the thickness of the anti-corrosion coating on the steel structure that causes high-frequency impact data to peel off. Based on the thickness of the anti-corrosion coating on the steel structure, the difference in thickness variation of the anti-corrosion coating at different depths is calculated to determine the corrosion peeling thickness of the anti-corrosion coating at different depths. Based on the service life of the steel structure, the corrosion peeling thickness of the anti-corrosion coating at different depths was calculated to obtain the corrected corrosion rate of the anti-corrosion coating at different depths.
[0012] Preferably, the step of performing data analysis and calculation on the real-time thickness of the anti-corrosion coating on the steel structure to obtain the remaining service life of the steel structure at different depths specifically includes the following steps: If the vibration of the steel structure will not cause the anti-corrosion coating of the steel structure to peel off; Based on the corrosion rate of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings is calculated and processed to obtain the remaining service life of steel structures at different depths. Vibration of the steel structure can cause the anti-corrosion coating of the steel structure to peel off. Based on the corrosion rate correction of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings is calculated and processed to obtain the remaining service life of steel structures at different depths.
[0013] Preferably, the comparative analysis of the remaining service life of steel structures at different depths to determine whether the anti-corrosion coating of the steel structure needs to be thickened specifically includes the following steps: The remaining service life and set service life threshold of steel structures at different depths are judged and processed. If the remaining service life data of steel structures at different depths are all greater than or equal to the set service life threshold, there is no need to thicken the anti-corrosion coating of the steel structure. If the remaining service life data of steel structures at different depths contains data that is less than the set service life threshold, maintenance personnel will thicken the anti-corrosion coating of the steel structure according to the depth of the steel structure corresponding to the data that is less than the set service life threshold.
[0014] Furthermore, a data analysis-based steel structure anti-corrosion coating life prediction system is proposed to implement the aforementioned data analysis-based steel structure anti-corrosion coating life prediction method, including: The life prediction terminal is used to control various modules to perform thickness analysis, thickness calculation and remaining life comparison analysis on anti-corrosion coatings of different depths on steel structures, and to determine whether the anti-corrosion coating of the steel structure needs to be thickened. The life prediction terminal is also used to control data transmission and information interaction between various modules. A database system for storing vibration data of steel structures; The layering standard determination module is used to perform latitude and longitude matching, data retrieval, and data extraction on the installation location of the steel structure to obtain the layering standard of the steel structure. The corrosion rate calculation module is used to calculate the difference in thickness variation of anti-corrosion coatings of steel structures at different depths and the service time of the steel structure to obtain the corrosion rate of anti-corrosion coatings of steel structures at different depths. The vibration impact analysis module is used to compare and analyze the vibration data of the steel structure to determine whether the vibration of the steel structure will cause the anti-corrosion coating of the steel structure to peel off. A corrosion rate correction module is used to correct the corrosion rate of anti-corrosion coatings for steel structures at different depths, and to determine the corrected corrosion rate of anti-corrosion coatings for steel structures at different depths. The remaining service life calculation module is used to predict and calculate the service life of steel structures to obtain the remaining service life of steel structures at different depths. The lifespan comparison module is used to compare and analyze the remaining service life of steel structures at different depths to determine whether the anti-corrosion coating of the steel structure needs to be thickened.
[0015] Compared with existing technologies, this invention provides a data analysis-based method and system for predicting the lifespan of anti-corrosion coatings for steel structures, which has the following advantages: This invention uses geographical information about the location of the steel structure to divide the steel structure installed in seawater into layers. Then, it calculates the thickness of the anti-corrosion coating at different depths to determine the corrosion rate of the anti-corrosion coating at different depths. Finally, it calculates the real-time thickness of the anti-corrosion coating based on the corrosion rate to obtain the remaining service life of the steel structure at different depths. This method can record the remaining service life of the steel structure in real time. When the remaining service life of the steel structure is too low, it can be thickened in time to ensure that seawater does not corrode the steel structure, thus extending the service life of the steel structure and reducing the risk of collapse of the supported object. Attached Figure Description
[0016] Figure 1 This is a flowchart illustrating steps S100-S400 in a data analysis-based method for predicting the lifespan of anti-corrosion coatings for steel structures proposed in this invention. Figure 2 This is a structural block diagram of a data analysis-based steel structure anti-corrosion coating life prediction system proposed in this invention. Detailed Implementation
[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.
[0018] Reference Figure 1 As shown, a data analysis-based method for predicting the lifespan of anti-corrosion coatings for steel structures includes: S100. Obtain the geographical information of the location of the steel structure, perform location analysis and processing on the geographical information of the location of the steel structure, and determine the layering standard of the steel structure. S200, based on the layered standard of steel structure, performs thickness analysis on anti-corrosion coatings of different depths of steel structure to determine the corrosion rate of anti-corrosion coatings of different depths. S300: Based on the corrosion rate of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings on steel structures is calculated to obtain the remaining service life of steel structures at different depths. S400. Compare and analyze the remaining service life of steel structures at different depths to determine whether it is necessary to thicken the anti-corrosion coating of the steel structure. Those skilled in the art will understand that if a steel structure is installed in seawater, its service life will be greatly reduced. Therefore, it is necessary to design an anti-corrosion coating on the surface of the steel structure. However, seawater will still corrode the anti-corrosion coating on the surface of the steel structure. When the anti-corrosion coating is completely corroded by seawater, it will corrode the steel structure, thus reducing its service life and increasing the risk of collapse of the supports on the steel structure. Therefore, it is necessary to predict the service life of the anti-corrosion coating on the steel structure. When the service life of the anti-corrosion coating is short, the anti-corrosion coating can be thickened in time to extend the service life of the steel structure and reduce the risk of collapse of the supports on the steel structure.
[0019] Example 1 Step S100: Obtain the geographical information of the steel structure's location, perform location analysis on the geographical information of the steel structure's location, and determine the layering standard of the steel structure. This specifically includes the following steps: S100. Obtain the construction drawings of the steel structure, perform location determination processing on the construction drawings of the steel structure, and determine the installation location of the steel structure. S100: Based on the BeiDou satellite navigation system, the location latitude and longitude of the steel structure installation position is matched to obtain the geographical information of the steel structure's location. S100. Based on the geographical information of the steel structure's location, perform data retrieval and processing on the seawater salinity distribution at the steel structure's installation location to obtain seawater salinity information at different depths. S100. Extract and process depth data of seawater salinity concentration at different depths to obtain the layering standard of the steel structure; It is understandable that the salinity of seawater varies at different locations and depths. For example, in mid-to-low latitude sea areas, the surface salinity is relatively high (reaching over 35.5‰ in subtropical sea areas), gradually decreasing with depth, reaching a minimum at a depth of 1000 meters, and then slowly increasing again. In high-latitude sea areas, the surface salinity is relatively low (due to dilution from melting ice and precipitation), gradually increasing with depth, and almost unchanged below 1500-2000 meters. Therefore, the degree of corrosion of the steel structure's coating varies at different depths. Thus, the steel structure is layered using information on seawater salinity at different depths, and then the thickness of the steel structure's corrosion coating is measured.
[0020] Example 2 Step S200: Based on the layering standard of steel structures, perform thickness analysis on anti-corrosion coatings of different depths to determine the corrosion rate of anti-corrosion coatings of different depths. This specifically includes the following steps: S201. Extract the construction content from the construction drawings of the steel structure to obtain the installation depth of the steel structure and the initial thickness of the anti-corrosion coating of the steel structure. S202. Based on the layering standard of steel structures, the installation depth of steel structures is processed by layering to determine the location of steel structures at different depths. S203. Based on the location of the steel structure at different depths, data acquisition and processing are performed on the anti-corrosion coating of the steel structure to obtain the real-time thickness of the anti-corrosion coating at different depths. S204. Based on the initial thickness of the anti-corrosion coating of the steel structure, the real-time thickness of the anti-corrosion coating of the steel structure at different depths is calculated and processed to obtain the corrosion rate of the anti-corrosion coating of the steel structure at different depths.
[0021] Specifically, step S204, calculating the real-time thickness of the anti-corrosion coating of the steel structure at different depths based on the initial thickness of the anti-corrosion coating, and obtaining the corrosion rate of the anti-corrosion coating of the steel structure at different depths, includes the following steps: S2041. Obtain the project proposal for the steel structure, extract and process the information from the project proposal for the steel structure, and obtain the construction completion date of the steel structure. S2042. Perform time data reading and processing on the electronic equipment to obtain the real-time date of the location of the steel structure; S2043. Perform a difference calculation between the completion date of the steel structure construction and the real-time date of the steel structure's location to determine the duration of the steel structure's use. S2044. Based on the initial thickness of the anti-corrosion coating of the steel structure, the real-time thickness of the anti-corrosion coating of the steel structure at different depths is calculated by difference to obtain the thickness variation difference of the anti-corrosion coating of the steel structure at different depths. S2045. Based on the service life of the steel structure, the thickness variation difference of the anti-corrosion coating of the steel structure at different depths is calculated and processed to obtain the corrosion rate of the anti-corrosion coating of the steel structure at different depths. It is understandable that when a steel structure is installed in seawater, different locations of the steel structure are at different depths of seawater, and the salinity of the seawater varies at different depths. When the salinity is different, the corrosion rate of the steel structure's anti-corrosion coating is also different. Therefore, by calculating the thickness of the steel structure's anti-corrosion coating at different depths, the corrosion rate of the anti-corrosion coating at different salinity concentrations can be determined. Furthermore, by calculating this, the remaining service life of the steel structure's anti-corrosion coating can be determined.
[0022] Example 3 Step S300: Based on the corrosion rate of the anti-corrosion coating at different depths, the real-time thickness of the anti-corrosion coating on the steel structure is calculated to obtain the remaining service life of the steel structure at different depths. This specifically includes the following steps: S301. Retrieve and process the sensor data stored in the database system to obtain vibration data of the steel structure; S302. Based on the Hilbert transform algorithm, the vibration data of the steel structure is extracted and processed to obtain the envelope of the vibration data of the steel structure. S303. Extract and process the envelope of the vibration data of the steel structure to obtain the high-frequency impact data of the steel structure. S304. Compare and analyze the high-frequency impact data of steel structures to determine whether it is necessary to correct the corrosion rate of anti-corrosion coatings of steel structures at different depths. S305. Perform data analysis and calculation on the real-time thickness of the anti-corrosion coating on the steel structure to obtain the remaining service life of the steel structure at different depths. It is understandable that since the steel structure is installed in seawater, there will be some vibration in the sea. Some vibrations can cause the anti-corrosion coating of the steel structure to peel off, which will lead to the thinning of the anti-corrosion coating. Vibration can also cause the corrosion rate of the anti-corrosion coating at different depths to be inaccurate. Therefore, it is necessary to calculate the vibration data to determine whether the vibration will affect the anti-corrosion coating of the steel structure. Step S304, which involves comparing and analyzing the high-frequency impact data of the steel structure to determine whether it is necessary to correct the corrosion rate of the anti-corrosion coating at different depths, specifically includes the following steps: S3041. Judgment and processing of high-frequency impact data of steel structures and the set threshold for high-frequency impact data; S3042. If the high-frequency impact data of the steel structure is less than the set high-frequency impact data threshold, the vibration of the steel structure will not cause the anti-corrosion coating of the steel structure to peel off. S3043. If the high-frequency impact data of the steel structure is greater than or equal to the set high-frequency impact data threshold, the vibration of the steel structure will cause the anti-corrosion coating of the steel structure to peel off. The corrosion rate of the anti-corrosion coating of the steel structure at different depths is corrected to obtain the corrected corrosion rate of the anti-corrosion coating of the steel structure at different depths. It is understandable that when the high-frequency impact data (i.e., the transient vibration caused by coating peeling) is too large, it will cause the anti-corrosion coating of the steel structure to peel off. This is because the anti-corrosion coating is applied to the surface of the steel structure afterward and is not integrally formed with the steel structure. Therefore, when the high-frequency impact data causes the anti-corrosion coating of the steel structure to peel off, it is necessary to correct the corrosion rate of the anti-corrosion coating of the steel structure at different depths. Otherwise, the calculated remaining service life of the steel structure at different depths will be inaccurate, which will affect the maintenance of the anti-corrosion coating of the steel structure.
[0023] Specifically, step S3043, correcting the corrosion rate of the anti-corrosion coating for steel structures at different depths, and obtaining the corrected corrosion rate of the anti-corrosion coating for steel structures at different depths, includes the following steps: S30431. Input the high-frequency impact data into the table of vibration effects on anti-corrosion coatings to determine the thickness of the anti-corrosion coating on the steel structure that causes high-frequency impact data to peel off. S30432. Based on the thickness of the anti-corrosion coating on the steel structure, the difference in thickness variation of the anti-corrosion coating on the steel structure at different depths is calculated to determine the corrosion peeling thickness of the anti-corrosion coating on the steel structure at different depths. S30433. Based on the service life of the steel structure, the corrosion peeling thickness of the anti-corrosion coating of the steel structure at different depths is calculated and processed to obtain the corrected corrosion rate of the anti-corrosion coating of the steel structure at different depths. Step S305, which involves analyzing and calculating the real-time thickness of the anti-corrosion coating on the steel structure to obtain the remaining service life of the steel structure at different depths, specifically includes the following steps: S3051. If the vibration of the steel structure will not cause the anti-corrosion coating of the steel structure to peel off. S3052. Based on the corrosion rate of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings on the steel structure is calculated and processed to obtain the remaining service life of the steel structure at different depths. S3053. If vibration of the steel structure causes the anti-corrosion coating of the steel structure to peel off; S3054. Based on the corrosion rate correction of anti-corrosion coatings of steel structures at different depths, the real-time thickness of the anti-corrosion coatings of steel structures is calculated and processed to obtain the remaining service life of steel structures at different depths. Understandably, when high-frequency impact data causes the anti-corrosion coating of steel structures to peel off, it is necessary to determine the thickness of the anti-corrosion coating peeled off due to high-frequency impact data by using a vibration-affected anti-corrosion coating relationship table. Subsequently, by correcting the corrosion rate of the anti-corrosion coating at different depths based on the thickness of the peeled coating, the remaining service life of the steel structure at different depths can be accurately obtained.
[0024] Example 4 Step S400: Compare and analyze the remaining service life of steel structures at different depths to determine whether it is necessary to thicken the anti-corrosion coating of the steel structure. This specifically includes the following steps: S401. The remaining service life and the set service life threshold of steel structures at different depths are judged and processed. S402. If the remaining service life data of steel structures at different depths are all greater than or equal to the set service life threshold, there is no need to thicken the anti-corrosion coating of the steel structure. S403. If the remaining service life data of steel structures at different depths contains data that is less than the set service life threshold, the maintenance personnel shall thicken the anti-corrosion coating of the steel structure according to the depth of the steel structure corresponding to the data that is less than the set service life threshold. Understandably, it is not advisable to wait until the anti-corrosion coating of the steel structure is completely corroded before thickening it. By then, seawater will have already corroded the steel structure. Therefore, the anti-corrosion coating of the steel structure needs to be thickened before it is completely corroded (i.e., before the set service life threshold).
[0025] Reference Figure 2 As shown, a data analysis-based system for predicting the lifespan of anti-corrosion coatings for steel structures is used to implement the aforementioned data analysis-based method for predicting the lifespan of anti-corrosion coatings for steel structures, including: The life prediction terminal is used to control various modules to perform thickness analysis, thickness calculation and remaining life comparison analysis on anti-corrosion coatings of different depths on steel structures, and to determine whether the anti-corrosion coating of the steel structure needs to be thickened. The life prediction terminal is also used to control data transmission and information interaction between various modules. A database system for storing vibration data of steel structures; The layering standard determination module is used to perform latitude and longitude matching, data retrieval, and data extraction on the installation location of the steel structure to obtain the layering standard of the steel structure. The corrosion rate calculation module is used to calculate the difference in thickness variation of anti-corrosion coatings of steel structures at different depths and the service time of the steel structure to obtain the corrosion rate of anti-corrosion coatings of steel structures at different depths. The vibration impact analysis module is used to compare and analyze the vibration data of the steel structure to determine whether the vibration of the steel structure will cause the anti-corrosion coating of the steel structure to peel off. A corrosion rate correction module is used to correct the corrosion rate of anti-corrosion coatings for steel structures at different depths, and to determine the corrected corrosion rate of anti-corrosion coatings for steel structures at different depths. The remaining service life calculation module is used to predict and calculate the service life of steel structures to obtain the remaining service life of steel structures at different depths. The lifespan comparison module is used to compare and analyze the remaining service life of steel structures at different depths to determine whether the anti-corrosion coating of the steel structure needs to be thickened.
[0026] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.
Claims
1. A method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis, characterized in that, include: Obtain the geographical information of the steel structure's location, perform location analysis on the geographical information of the steel structure's location, and determine the layering standard of the steel structure; Based on the layered standard of steel structures, the thickness of anti-corrosion coatings of different depths is analyzed to determine the corrosion rate of anti-corrosion coatings of different depths. Based on the corrosion rate of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings is calculated to obtain the remaining service life of steel structures at different depths. The remaining service life of steel structures at different depths was compared and analyzed to determine whether it is necessary to thicken the anti-corrosion coating of the steel structure.
2. The method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis according to claim 1, characterized in that, The steps of obtaining the geographical information of the steel structure's location, performing location analysis on the geographical information of the steel structure's location, and determining the layering criteria of the steel structure specifically include the following: Obtain the construction drawings of the steel structure, perform location determination processing on the construction drawings of the steel structure, and determine the installation location of the steel structure; Based on the BeiDou satellite navigation system, the latitude and longitude matching of the steel structure installation location is performed to obtain the geographical information of the steel structure's location. Based on the geographical information of the steel structure's location, data retrieval and processing were performed on the seawater salinity distribution at the steel structure's installation location to obtain seawater salinity information at different depths. Depth data extraction and processing were performed on seawater salinity information at different depths to obtain the layering standards for steel structures.
3. The method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis according to claim 2, characterized in that, The aforementioned layered standard based on steel structures involves thickness analysis of anti-corrosion coatings at different depths to determine the corrosion rate of these coatings. Specifically, this includes the following steps: The construction drawings of the steel structure are processed to extract the construction content, and the installation depth and initial thickness of the anti-corrosion coating of the steel structure are obtained. Based on the layering standard of steel structures, the installation depth of steel structures is used to perform layering treatment to determine the location of steel structures at different depths; Based on the location of the steel structure at different depths, data collection and processing are performed on the anti-corrosion coating of the steel structure to obtain the real-time thickness of the anti-corrosion coating at different depths. Based on the initial thickness of the anti-corrosion coating on the steel structure, the real-time thickness of the anti-corrosion coating at different depths is calculated to obtain the corrosion rate of the anti-corrosion coating at different depths.
4. The method for predicting the lifespan of anti-corrosion coatings for steel structures based on data analysis according to claim 3, characterized in that, The process of calculating the real-time thickness of the anti-corrosion coating of steel structures at different depths based on the initial thickness of the coating, and obtaining the corrosion rate of the anti-corrosion coating at different depths, specifically includes the following steps: Obtain the project proposal for the steel structure, extract and process the information from the project proposal, and obtain the construction completion date of the steel structure. The electronic device is processed to read and process time data to obtain the real-time date of the steel structure's location; The difference between the completion date of the steel structure construction and the real-time date of the steel structure's location is calculated to determine the duration of the steel structure's use. Based on the initial thickness of the anti-corrosion coating of the steel structure, the difference calculation is performed on the real-time thickness of the anti-corrosion coating of the steel structure at different depths to obtain the thickness variation difference of the anti-corrosion coating of the steel structure at different depths. Based on the service life of the steel structure, the thickness variation difference of the anti-corrosion coating of the steel structure at different depths was calculated to obtain the corrosion rate of the anti-corrosion coating of the steel structure at different depths.
5. The method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis according to claim 4, characterized in that, The process of calculating the real-time thickness of the anti-corrosion coating on steel structures based on the corrosion rate at different depths, and obtaining the remaining service life of steel structures at different depths, specifically includes the following steps: Data retrieval and processing are performed on sensor data stored in the database system to obtain vibration data of the steel structure; Based on the Hilbert transform algorithm, data extraction and processing are performed on the vibration data of steel structures to obtain the envelope of the vibration data of steel structures. Data extraction and processing are performed on the envelope of vibration data of steel structures to obtain high-frequency impact data of steel structures; Comparative analysis of high-frequency impact data of steel structures was conducted to determine whether it is necessary to correct the corrosion rate of anti-corrosion coatings at different depths. Data analysis and calculation are performed on the real-time thickness of the anti-corrosion coating on the steel structure to obtain the remaining service life of the steel structure at different depths.
6. The method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis according to claim 5, characterized in that, The comparative analysis of high-frequency impact data of steel structures to determine whether the corrosion rate of anti-corrosion coatings at different depths needs to be corrected specifically includes the following steps: The high-frequency impact data of the steel structure and the set high-frequency impact data threshold are judged and processed. If the high-frequency impact data of the steel structure is less than the set high-frequency impact data threshold, the vibration of the steel structure will not cause the anti-corrosion coating of the steel structure to peel off. If the high-frequency impact data of the steel structure is greater than or equal to the set high-frequency impact data threshold, the vibration of the steel structure will cause the anti-corrosion coating of the steel structure to peel off. The corrosion rate of the anti-corrosion coating of the steel structure at different depths is corrected to obtain the corrected corrosion rate of the anti-corrosion coating of the steel structure at different depths.
7. The method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis according to claim 6, characterized in that, The process of correcting the corrosion rate of anti-corrosion coatings at different depths to obtain corrected corrosion rates for anti-corrosion coatings at different depths specifically includes the following steps: Input the high-frequency impact data into the table of vibration effects on anti-corrosion coatings to determine the thickness of the anti-corrosion coating on the steel structure that causes high-frequency impact data to peel off. Based on the thickness of the anti-corrosion coating on the steel structure, the difference in thickness variation of the anti-corrosion coating at different depths is calculated to determine the corrosion peeling thickness of the anti-corrosion coating at different depths. Based on the service life of the steel structure, the corrosion peeling thickness of the anti-corrosion coating at different depths was calculated to obtain the corrected corrosion rate of the anti-corrosion coating at different depths.
8. The method for predicting the lifespan of anti-corrosion coatings for steel structures based on data analysis according to claim 6, characterized in that, The process of analyzing and calculating the real-time thickness of the anti-corrosion coating on the steel structure to obtain the remaining service life of the steel structure at different depths includes the following steps: If the vibration of the steel structure will not cause the anti-corrosion coating of the steel structure to peel off; Based on the corrosion rate of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings is calculated and processed to obtain the remaining service life of steel structures at different depths. Vibration of the steel structure can cause the anti-corrosion coating of the steel structure to peel off. Based on the corrosion rate correction of anti-corrosion coatings at different depths, the real-time thickness of the anti-corrosion coatings is calculated and processed to obtain the remaining service life of steel structures at different depths.
9. The method for predicting the service life of anti-corrosion coatings for steel structures based on data analysis according to claim 1, characterized in that, The comparative analysis of the remaining service life of steel structures at different depths to determine whether the anti-corrosion coating of the steel structure needs to be thickened specifically includes the following steps: The remaining service life and set service life threshold of steel structures at different depths are judged and processed. If the remaining service life data of steel structures at different depths are all greater than or equal to the set service life threshold, there is no need to thicken the anti-corrosion coating of the steel structure. If the remaining service life data of steel structures at different depths contains data that is less than the set service life threshold, maintenance personnel will thicken the anti-corrosion coating of the steel structure according to the depth of the steel structure corresponding to the data that is less than the set service life threshold.
10. A data analysis-based system for predicting the lifespan of anti-corrosion coatings for steel structures, used to implement the data analysis-based method for predicting the lifespan of anti-corrosion coatings for steel structures as described in any one of claims 1-9, characterized in that, include: The life prediction terminal is used to control various modules to perform thickness analysis, thickness calculation and remaining life comparison analysis on anti-corrosion coatings of different depths on steel structures, and to determine whether the anti-corrosion coating of the steel structure needs to be thickened. The life prediction terminal is also used to control data transmission and information interaction between various modules. A database system for storing vibration data of steel structures; The layering standard determination module is used to perform latitude and longitude matching, data retrieval, and data extraction on the installation location of the steel structure to obtain the layering standard of the steel structure. The corrosion rate calculation module is used to calculate the difference in thickness variation of anti-corrosion coatings of steel structures at different depths and the service time of the steel structure to obtain the corrosion rate of anti-corrosion coatings of steel structures at different depths. The vibration impact analysis module is used to compare and analyze the vibration data of the steel structure to determine whether the vibration of the steel structure will cause the anti-corrosion coating of the steel structure to peel off. A corrosion rate correction module is used to correct the corrosion rate of anti-corrosion coatings for steel structures at different depths, and to determine the corrected corrosion rate of anti-corrosion coatings for steel structures at different depths. The remaining service life calculation module is used to predict and calculate the service life of steel structures to obtain the remaining service life of steel structures at different depths. The lifespan comparison module is used to compare and analyze the remaining service life of steel structures at different depths to determine whether the anti-corrosion coating of the steel structure needs to be thickened.