Detection method, device and equipment for anti-corrosion spraying operation of bridge pier column and storage medium

Abstract

The invention discloses a detection method, device and equipment for anti-corrosion spraying operation of a bridge pier column and a storage medium, and relates to the technical field of anti-corrosion spraying coating detection, and the detection method comprises the following steps: carrying out pre-spraying detection on the surface of the to-be-sprayed bridge pier column; a corresponding clearing mode is adopted to clear residues; moisture content detection is conducted, and drying treatment or anti-corrosion coating spraying is conducted; and after spraying, detection is conducted, and corresponding repairing is conducted. Through pre-spraying detection, residues on the surface of the concrete are identified and correspondingly cleaned, and then surface moisture content detection is carried out, so that the effect of an anticorrosive coating is ensured. By detecting and identifying uncovered areas, tiny leakage points and too thin and too thick parts of the coating after spraying and performing corresponding repair, the silane anticorrosive coating is intact in covering and uniform in thickness and can form good permeation on the surface of concrete, the performance of the anticorrosive coating is finally guaranteed, and the service life of the anticorrosive coating is prolonged. And high-precision acceptance inspection is carried out through a modern means, so that the construction quality safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-corrosion spray coating detection, and in particular to a detection method, device, equipment and storage medium for anti-corrosion spraying operations on bridge pier columns. Background Art

[0002] During the construction of large bridges, such as sea-crossing bridges, piers often require anti-corrosion treatment. This treatment involves spraying an anti-corrosion material, such as silane, onto the concrete surface of the piers. Due to the large scale of sea-crossing bridges, the piers are also designed to be large. Therefore, when applying the anti-corrosion spray, robots, robotic arms, and other mechanical methods can be used instead of manual spraying. This not only improves efficiency and saves labor costs, but also reduces the risks of working at height.

[0003] Due to the large size of bridge piers, they can be cast in a prefabricated manner and then sprayed with anti-corrosion coatings after forming. Precisely because of the large size of the piers and columns, the distance between the prefabrication site and the construction site of the cross-sea bridge should not be too far. However, since the construction site of a cross-sea bridge is often located in a coastal area, the construction work is greatly affected by the marine climate. Anti-corrosion spraying is particularly important for the durability of the cross-sea bridge. Especially after the anti-corrosion spraying operation is completed, ensuring that the anti-corrosion coating meets the performance requirements is the focus of the operation acceptance. However, due to the large size of the bridge piers and the complex and changeable marine climate, it is difficult to achieve comprehensive and detailed inspection of the surface anti-corrosion coating. Reliable methods are needed to ensure the acceptance quality of the anti-corrosion coating. Summary of the Invention

[0004] The embodiments of the present invention provide a method, device, equipment and storage medium for detecting anti-corrosion spraying operations on bridge pier columns, so as to solve the technical problem that it is difficult to accurately detect the performance of sprayed silane anti-corrosion coatings.

[0005] In a first aspect, an embodiment of the present invention provides a method for detecting anti-corrosion spraying operations on bridge pier columns, comprising: S101, pre-spraying inspection is performed on the surface of the bridge pier column to be sprayed, and the residual condition of the concrete surface of the bridge pier column is analyzed; S102, based on the results of the pre-spraying test and the type of residue on the concrete surface of the pier column, a corresponding cleaning method is used to clean the surface of the pier column to be sprayed; S103, testing the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test, and performing surface drying treatment or anti-corrosion coating spraying according to the moisture content test result; S104, performing a post-spraying inspection on the surface of the bridge pier column, and performing corresponding repairs based on the inspection results.

[0006] Furthermore, the S104 includes: Microwave near-field scanning and laser-induced fluorescence were used to detect the coverage of the sprayed bridge pier surface. Multispectral imagers, infrared thermal imagers and laser displacement meters are used to detect the uniformity of the surface of the sprayed bridge pier columns and identify areas where the thickness of the silane anti-corrosion coating exceeds the design upper and lower limits.

[0007] Furthermore, the use of a multispectral imager, an infrared thermal imager, and a laser displacement meter to detect the uniformity of the surface of the sprayed bridge pier column and identify the locations where the thickness of the silane anti-corrosion coating exceeds the design upper and lower limits include: The surface of the sprayed bridge pier column was scanned using a multispectral imager, an infrared thermal imager, and a laser displacement meter to obtain multispectral data, thermal imaging data, and laser topography data after spraying. Extracting water absorption characteristics and scattering characteristics from the multispectral data after spraying, extracting temperature rise rate characteristics and steady-state temperature difference characteristics from the thermal imaging data after spraying, and extracting roughness characteristics and local curvature characteristics from the laser topography data after spraying; Performing feature fusion on the water absorption feature, scattering feature, temperature rise rate feature, steady-state temperature difference feature, roughness feature, and local curvature feature to obtain a post-spraying fusion feature; Shared features are extracted from the fused features after spraying, and thinness detection heads and thickness detection heads are used to identify areas where the thickness of the silane anti-corrosion coating exceeds the designed upper and lower limits.

[0008] Furthermore, the S103 includes: The moisture content of the surface of the bridge pier column to be sprayed is detected by using a multi-spectral imager and an infrared thermal imager to obtain the moisture content of the bridge pier column surface; According to the moisture content of the pier column surface, if the moisture content of the pier column surface exceeds the requirements for anti-corrosion coating spraying, the pier column surface should be dried and the moisture content should be tested again after the drying process is completed; If the moisture content on the surface of the pier column meets the requirements for anti-corrosion coating spraying construction, anti-corrosion coating spraying construction shall be carried out.

[0009] Furthermore, the method of detecting the moisture content of the surface of the bridge pier column to be sprayed by using a multispectral imager and an infrared thermal imager to obtain the moisture content of the bridge pier column surface includes: Use a multispectral imager and an infrared thermal imager to scan the surface of the bridge pier column, collect multispectral data and thermal image data of the bridge pier column surface, and perform corresponding data preprocessing; Compensating the multispectral data using the thermal imaging data to form compensated spectral data; Performing feature extraction on the compensated spectral data and thermal imaging data to obtain spectral features and temperature features; The spectral features and temperature features are used to perform feature fusion, and the surface moisture content of the bridge pier column is output through regression.

[0010] Furthermore, the S101 includes: Conduct oil residue detection on the surface of the bridge pier to be sprayed; Conduct release agent residue detection on the surface of the bridge pier to be sprayed; Carry out slurry residue detection on the surface of the bridge pier to be sprayed.

[0011] Furthermore, the S102 includes: According to the pre-spraying test results, the corresponding residues on the surface of the bridge pier to be sprayed are cleaned; After cleaning is completed, pre-spraying inspection is carried out again, and whether to continue cleaning is determined based on the inspection results until the anti-corrosion coating spraying construction requirements are met.

[0012] In a second aspect, an embodiment of the present invention provides a detection device for anti-corrosion spraying operations on bridge pier columns, comprising: Pre-spraying inspection module, used to conduct pre-spraying inspection on the surface of the bridge pier column to be sprayed and analyze the residual condition of the concrete surface of the bridge pier column; The surface cleaning module is used to clean the surface of the pier column to be sprayed according to the results of the pre-spraying inspection and the type of residue on the concrete surface of the pier column; The moisture content detection module is used to detect the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test. According to the moisture content test results, the surface is dried or anti-corrosion coating is sprayed; The post-spraying inspection module is used to conduct post-spraying inspection on the surface of the pier column after spraying, and to perform corresponding repairs based on the inspection results.

[0013] In a third aspect, an embodiment of the present invention provides an electronic device, including: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned detection method for the anti-corrosion spraying operation of the bridge pier column.

[0014] In a fourth aspect, an embodiment of the present invention provides a storage medium comprising computer-executable instructions, which, when executed by a computer processor, are used to perform the above-mentioned method for detecting the anti-corrosion spraying operation of the bridge pier column.

[0015] The embodiments of the present invention provide a method, device, equipment, and storage medium for detecting anti-corrosion spraying operations on bridge piers. The method performs a pre-spraying inspection on the surface of the bridge pier to be sprayed before spraying the silane anti-corrosion coating, identifies oil stains, release agents, and laitance residues on the concrete surface, and performs corresponding cleaning. Thereafter, the surface moisture content is detected to ensure the subsequent spraying construction effect of the silane anti-corrosion coating. By performing a post-spraying inspection on the surface of the sprayed bridge pier, uncovered areas, small leaks, and areas where the coating is too thin or too thick are identified, and corresponding repairs are performed, the silane anti-corrosion coating is well covered, has a uniform thickness, and can form good penetration into the concrete surface, ultimately ensuring the performance of the anti-corrosion coating and meeting the durability, safety, and other requirements of the cross-sea bridge. The anti-corrosion spraying operation of the bridge pier is inspected and accepted with high precision by modern means to ensure construction quality and subsequent related guarantee requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which constitute part of the present invention, are provided to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are provided to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings: Figure 1 This is a flow chart of a method for detecting anti-corrosion spraying operations on bridge pier columns according to the first embodiment of the present invention; Figure 2 This is a flow chart of a method for detecting anti-corrosion spraying operations on bridge pier columns according to a second embodiment of the present invention; Figure 3 This is a flow chart of a method for detecting anti-corrosion spraying operations on bridge pier columns according to a third embodiment of the present invention; Figure 4 This is a schematic diagram of a detection device for anti-corrosion spraying of bridge pier columns according to a fourth embodiment of the present invention; Figure 5 This is a structural diagram of an electronic device according to a fifth embodiment of the present invention. DETAILED DESCRIPTION

[0017] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0018] Example 1 Figure 1This is a flow chart of a method for inspecting anti-corrosion spraying of bridge pier columns according to a first embodiment of the present invention. This method detects and cleans the surface of the pier column for residues, then detects moisture content to ensure spraying conditions for the anti-corrosion coating. Post-spray inspection is then performed on the sprayed anti-corrosion coating to ensure that its performance meets relevant requirements. Specifically, the method includes the following steps: S101, pre-spraying inspection is performed on the surface of the bridge pier column to be sprayed, and the residual condition of the concrete surface of the bridge pier column is analyzed.

[0019] When prefabricating bridge piers and columns, steel formwork is used to create molds, and concrete is poured into the molds to form the desired piers or columns. To facilitate demolding of precast concrete, it is often necessary to apply a release agent or other material to the mold to facilitate mold removal. If the release agent is applied excessively, of poor quality, or the demolding time is inappropriate, it may also cause the release agent to remain on the concrete surface. During the construction process, lubricating oil, engine oil, and other oils may splash onto the concrete surface during operation of machinery and equipment, forming oil residues. During pouring, improper construction techniques, such as excessive pouring speeds or improper vibration methods, as well as improper water-cement ratios and admixture preparations in the concrete material, will result in slurry residue on the concrete surface of the precast component. Slurry residue will also affect the permeability of the silane anti-corrosion coating, causing the coating to peel and fall off, ultimately leading to a loss of anti-corrosion performance. Before spraying silane anti-corrosion coating on the concrete surface of the pier column, it is necessary to conduct a pre-spraying inspection on the surface of the pier column to be sprayed to detect the residual oil, release agent and slurry on the concrete surface of the pier column to ensure the subsequent silane anti-corrosion coating spraying effect.

[0020] S102, based on the results of the pre-spraying test and the type of residue on the concrete surface of the pier column, a corresponding cleaning method is used to clean the surface of the pier column to be sprayed.

[0021] Residue cleaning methods are used based on the type and condition of residues found on the concrete surface of the pier column after pre-spraying testing. For example, oil residue can be cleaned with a high-pressure water jet or chemical solvents, release agent residue can be removed with alkaline hot water, mechanical grinding, or a dedicated release agent cleaner, and laitance residue can be removed with dry ice blasting, controlled pressure sandblasting, or high-frequency water jets. After cleaning, acceptance testing is still required. If the surface fails to meet the requirements, further cleaning is required until it passes the spraying application of the silane anti-corrosion coating.

[0022] S103, testing the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test, and performing surface drying treatment or anti-corrosion coating spraying according to the moisture content test result.

[0023] The moisture content of concrete surfaces is crucial to the effectiveness of silane coatings. If the moisture content exceeds 8%, water molecules fill the concrete's capillary pores, hindering the penetration of silane. This makes it difficult for the silane to penetrate deeply into the concrete, resulting in shallow penetration and a poorly uniform film formation. Consequently, the silane's full anti-corrosion effect is lost, leading to poor adhesion, reduced durability, and susceptibility to aging and cracking. Only when the moisture content is below 8%, the concrete's capillary pores remain relatively dry. This allows the silane to penetrate deeper into the concrete through capillary action, spreading evenly across the surface and forming a continuous film. This effectively creates a stable and dense protective layer with excellent weather resistance and durability, effectively protecting concrete structures from corrosion for extended periods. Multispectral and thermal imaging data can be collected using a multispectral imager and an infrared thermal imager. By analyzing the different spectral reflectances of concrete surfaces at different moisture contents at different temperatures, the moisture content of the bridge piers to be sprayed can be calculated for subsequent construction. If the moisture content meets the requirements, anti-corrosion coating will be sprayed; if not, surface drying will be performed.

[0024] S104, performing a post-spraying inspection on the surface of the bridge pier column, and performing corresponding repairs based on the inspection results.

[0025] After applying silane anti-corrosion spraying to the concrete surface of a bridge pier column, the surface must be tested for coverage and uniformity. This helps identify areas where the silane coating fails to fully cover the concrete surface due to factors such as construction parameters, environmental climate, or special treatment of specific areas. This can also identify defects such as excessively thin or thick coatings, allowing for appropriate repairs to ensure the coating's performance. A comprehensive preliminary inspection of the pier column surface can be performed to eliminate any major uncovered defects, followed by a detailed inspection to eliminate any minor leaks and ensure complete coating coverage. A uniformity inspection, by measuring the coating's thickness and surface topography, can help identify areas where the silane coating is too thin or too thick. This helps prevent situations where the coating is too thin to achieve the desired anti-corrosion effect, or where it is too thick, leading to uneven stress, decreased adhesion, and prone to cracking and peeling.

[0026] This embodiment performs a pre-spray inspection on the surface of the bridge pier column to be sprayed before spraying the silane anti-corrosion coating, identifies oil stains, release agents, and laitance residues on the concrete surface, and performs corresponding cleaning. After that, the surface moisture content is tested to ensure the subsequent spraying construction effect of the silane anti-corrosion coating. By performing a post-spray inspection on the surface of the sprayed bridge pier column, uncovered areas, small leaks, and areas where the coating is too thin or too thick are identified, and corresponding repairs are performed, the silane anti-corrosion coating is well covered, with a uniform thickness, and can form good penetration into the concrete surface, ultimately ensuring the performance of the anti-corrosion coating and meeting the durability, safety, and other requirements of the cross-sea bridge. The anti-corrosion spraying operation of the bridge pier column is inspected and accepted with high precision through modern means to ensure the construction quality and subsequent related guarantee requirements.

[0027] In an optional implementation of this embodiment, S101 includes: The surface of the bridge pier to be sprayed is tested for oil residue.

[0028] At the prefabrication site for bridge piers, mechanical equipment is often required for construction. During operation, lubricants, engine oil, and other contaminants may splash onto the concrete surface, leaving oil residue. Fluorescent UV imaging can be used to detect oil residue on the surface of the spray-coated piers, exploiting the principle that aromatic hydrocarbons in the oil fluoresce under UV light. If a thick layer of oil residue is visually detected on the surface of the spray-coated pier, infrared thermal imaging can also be used, taking advantage of the difference in heat capacity between the oil and concrete.

[0029] Conduct release agent residue detection on the surface of the bridge pier to be sprayed.

[0030] Bridge piers can be prefabricated by pouring concrete using molds. During prefabrication, a release agent is required to facilitate separation between the mold and the concrete. Excessive application of release agent, poor quality, or improper demolding timing can easily leave residue on the concrete surface. Fourier transform infrared spectroscopy can be used to detect the presence of silicone-based or polymer-based release agent residues on the surface of spray-coated bridge piers. Alternatively, residual inorganic wax release agents can be detected on the surface of spray-coated bridge piers. The appropriate testing method should be selected based on the type of release agent used.

[0031] Carry out slurry residue detection on the surface of the bridge pier to be sprayed.

[0032] When pouring concrete into precast bridge piers, improper pouring speed or vibration method, or improper water-cement ratio or admixture formulation can lead to residual laitance on the concrete surface. This residual laitance blocks silane penetration and, after saturation with water, creates significant expansion stress, which can easily lead to freeze-thaw damage. It also increases chloride ion diffusion, severely impacting the splash zone. This can ultimately cause the silane protective layer to fail, peel, and lose its corrosion protection, shortening the service life of the pier and, consequently, the safety of the cross-sea bridge. The acoustic impedance method, leveraging the principle that the acoustic impedance of the laitance layer is much lower than that of concrete, can be used to detect residual laitance on the surface of the pier to be sprayed.

[0033] Optionally, the S102 includes: According to the pre-spraying test results, the corresponding residues on the surface of the bridge pier to be sprayed are cleaned.

[0034] During the pre-spraying test, the type of residue detected on the surface of the bridge pier to be sprayed is detected, and the residue is cleaned using the corresponding method. For example, for oil residue, high-pressure water jet can be used for cleaning, or chemical solvents can be used to accurately clean a small amount of oil residue on a small area. The appropriate cleaning method can be selected according to the actual situation. For release agent residue, alkaline hot water can be used to clean silicone oil release agents, or mechanical grinding can be used to clean wax and other solidified release agent residues. Special release agent removers can also be used according to the actual situation. For slurry residue, dry ice blasting can be used to remove the slurry with tiny dry ice particles. It is efficient and environmentally friendly, and no wastewater is generated. The surface roughness after cleaning is suitable for the ideal penetration conditions of silane. Controllable pressure sandblasting, high-frequency water jet and other methods can also be used to clean the slurry residue according to the actual situation.

[0035] After cleaning is completed, pre-spraying inspection is carried out again, and whether to continue cleaning is determined based on the inspection results until the anti-corrosion coating spraying construction requirements are met.

[0036] In order to ensure thorough cleaning and guarantee the anti-corrosion performance of the subsequent spraying of silane anti-corrosion coating, after cleaning various residues on the surface of the bridge pier to be sprayed, a pre-spraying test must be carried out again, and the same method is used to re-detect various residues on the surface of the bridge pier to be sprayed. If there are still residues, the corresponding method is used again to clean it until the pre-spraying test results after cleaning are qualified and meet the anti-corrosion coating spraying construction requirements.

[0037] Example 2 Figure 2 This is a flow chart of a method for detecting anti-corrosion spraying of bridge pier columns according to a second embodiment of the present invention. This embodiment is optimized based on the above embodiment. In this embodiment, S104 is specifically optimized as follows: Microwave near-field scanning and laser-induced fluorescence were used to detect the coverage of the sprayed bridge pier surface. Multispectral imagers, infrared thermal imagers and laser displacement meters are used to detect the uniformity of the surface of the sprayed bridge pier columns and identify areas where the thickness of the silane anti-corrosion coating exceeds the design upper and lower limits.

[0038] Accordingly, the detection method for the anti-corrosion spraying operation of the bridge pier provided in this embodiment specifically includes: S201, pre-spraying inspection is performed on the surface of the bridge pier column to be sprayed, and the residual condition of the concrete surface of the bridge pier column is analyzed.

[0039] S202, based on the results of the pre-spraying test and the type of residue on the concrete surface of the pier column, a corresponding cleaning method is used to clean the surface of the pier column to be sprayed.

[0040] S203, testing the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test, and performing surface drying treatment or anti-corrosion coating spraying according to the moisture content test result.

[0041] S204: Microwave near-field scanning and laser-induced fluorescence are used to detect the coverage of the sprayed bridge pier column surface.

[0042] First, microwave near-field scanning is used to inspect the surface of the spray-coated bridge pier. The difference in microwave reflection coefficient caused by the dielectric constant difference between the silane layer and the concrete is used to detect areas uncovered by the silane coating. During microwave near-field scanning, a flexible probe can be used for close-fitting inspection, improving detection accuracy and surface adaptability. Laser-induced fluorescence (LIF) is then used to inspect the spray-coated bridge pier again. By irradiating the silane coating with a fluorescent marker (optionally added, such as a pyridine derivative), the marker stimulates fluorescence emission at a specific wavelength, distinguishing areas without fluorescence (concrete surfaces not coated with silane). This allows for high-resolution identification of even tiny "starry-shaped" leaks, with strong anti-interference and surface adaptability, improving detection accuracy. Microwave near-field scanning rapidly scans a large area of ​​the bridge pier surface, combined with LIF to detect tiny, invisible "starry-shaped" leaks, indicating the need for repairs to the silane coating. This effectively prevents localized corrosion acceleration and improves the performance and durability of the coating.

[0043] S205 uses a multispectral imager, infrared thermal imager and laser displacement meter to detect the uniformity of the sprayed bridge pier surface and identify areas where the thickness of the silane anti-corrosion coating exceeds the design upper and lower limits.

[0044] The prefabrication and construction sites of cross-sea bridges are often located close to the sea and are often subject to the complex and harsh marine climate (wind, waves, salt spray, temperature and humidity fluctuations, etc.). This results in a harsh construction environment and process control risks. For example, insufficient nozzle pressure leads to insufficient atomization, resulting in streaking. Nozzles that are too far, too close, or clogged can easily lead to uneven coverage, resulting in tiny, invisible "starry sky" leaks. Too fast or too slow nozzle speeds, or nozzles that stop in certain spots due to design considerations, can all result in the anti-corrosion coating being too thin or too thick, or having bumps. The spray robot's trajectory can also leave blind spots unreached. Furthermore, poorly repaired areas of the concrete surface, such as rebar heads, construction joints, and bolt holes, require metal anti-rust treatment first, while construction joints and bolt holes require grooving and caulking. Improper handling can compromise the effectiveness of the subsequent silane anti-corrosion coating. By collecting multispectral data, thermal imaging data, and laser point cloud data from the sprayed surface of bridge piers, and utilizing reflectance images of multispectral data in multiple bands, temperature matrix images of thermal imaging data, and dense point clouds of laser point cloud data, the uniformity of the silane anti-corrosion coating on the sprayed surface of bridge piers can be tested by analyzing the reflectance of multispectral data in specific bands and combining it with the temperature matrix image to capture the temperature field distribution generated by the concrete splash reaction. Combined with the high-precision absolute surface three-dimensional topography information of the dense point cloud, the uniformity of the silane anti-corrosion coating on the sprayed surface of bridge piers can be tested. Areas where the coating thickness is too thin (less than the lower limit of the design), areas where the coating thickness is too thick (exceeding the upper limit of the design), as well as uncovered areas or tiny leaks can be identified to facilitate timely repairs and ensure the quality, safety, and durability of the project.

[0045] Specifically, a multispectral imager, an infrared thermal imager, and a laser displacement meter are used to scan the surface of the sprayed bridge pier column to obtain multispectral data after spraying, thermal imaging data after spraying, and laser topography data after spraying.

[0046] The sprayed bridge pier column surface was scanned using a multispectral imager, an infrared thermal imager, and a laser displacement meter, respectively, to collect post-spray multispectral data, post-spray thermal imaging data, and post-spray laser topography data. Multispectral data can reflect information such as the material composition, moisture content, and surface roughness of the sprayed concrete surface by leveraging the varying reflectivity of different materials in different wavelength bands. Thermal imaging data can reflect the temperature field distribution generated by the concrete hydration reaction. Concrete hydration heat is a relatively long process. Although concrete releases a large amount of heat during the initial hardening phase, the slowly progressing hydration heat persists over a longer period of time and can be used to identify coating coverage on the concrete surface. Laser topography data, primarily composed of dense point clouds, can accurately reflect the three-dimensional topography of the sprayed concrete surface. The collected data also requires appropriate preprocessing, such as radiation correction, geometric correction, temperature calibration, and denoising.

[0047] The water absorption and scattering characteristics of the multispectral data after spraying are extracted, the temperature rise rate characteristics and steady-state temperature difference characteristics of the thermal imaging data after spraying are extracted, and the roughness characteristics and local curvature characteristics of the laser topography data after spraying are extracted.

[0048] The water absorption characteristics are extracted from the reflectivity of the 970mm band using multispectral data. Based on the reflectivity of the band representing the water absorption capacity after spraying, the anti-corrosion coating is judged to be too thin. The scattering characteristics are extracted from the reflectivity of the 1410mm band using multispectral data. Based on the light scattering of the coating after spraying, the anti-corrosion coating is judged to be too thick. The temperature rise rate characteristics of the thermal imaging data are used to analyze the heat storage capacity of the sprayed surface by the speed of temperature increase. Combined with the steady-state temperature difference characteristics, the coating is judged to be too thin or too thick. The roughness characteristics of the laser topography data are used to identify the reference surface of the sprayed surface. Combined with the local curvature characteristics, the presence of excessively thick areas such as sags and protrusions is identified.

[0049] The water absorption feature, scattering feature, temperature rise rate feature, steady-state temperature difference feature, roughness feature and local curvature feature are fused to obtain a post-spraying fusion feature.

[0050] Water absorption characteristics , is the reflectivity of the 970nm band (water absorption peak), is the reflectivity in the 850nm band (reference baseline); An increase indicates weak water absorption capacity, reflecting that the anti-corrosion coating is too thin; Scattering characteristics , The increase indicates that the light scattering ability is enhanced, reflecting that the anti-corrosion coating is locally too thick. is the wavelength (nm), is the wavelength differential, is the wavelength Reflectivity at Temperature rise rate characteristics , Temperature at 3 seconds (°C), is the initial temperature (°C), is the temperature difference, is the time difference, An increase indicates a faster rate of temperature increase, which means a smaller heat capacity and reflects that the anti-corrosion coating is too thin; Steady-state temperature difference characteristics , The smaller it is, the greater the heat storage capacity is, which indicates that the anti-corrosion coating is too thick; Roughness characteristics , is the deviation between the surface point cloud and the reference plane, iis the sampling point number, n is the total number of sampling points, Indicates the reference plane; Local curvature characteristics , x is the horizontal axis (laser scanning direction (unit: mm)), y is the vertical coordinate (perpendicular to the scanning direction (unit: mm)), z To fit the height function ( z=z(x,y) (unit: )), It can reflect the presence of sags, bulges, etc. on the surface.

[0051] It should be noted that the above features all need to be normalized. The above features are fused using weighted splicing to obtain the fused features after spraying. , the formula is:

[0052] in, is the weight coefficient, is characterized by , Water absorption characteristics , Scattering characteristics , Temperature rise rate characteristic , Steady-state temperature difference characteristic , Roughness feature , is the local curvature feature . CMA is the cross-modal attention feature, and the formula is:

[0053] in, is the learnable weight matrix, is the weight coefficient of the feature (normalized by softmax), Characterized by i, j Number the feature.

[0054] Shared features are extracted from the fused features after spraying, and thinness detection heads and thickness detection heads are used to identify areas where the thickness of the silane anti-corrosion coating exceeds the designed upper and lower limits.

[0055] MobileNetV3 is used to extract the fused features after spraying, and shared features are formed by dimensionality increase. The shared features are input into the thinness detection head and the thickness detection head respectively to identify areas that are too thin or too thick.

[0056] Thinness detection head:

[0057]

[0058] in, is a too thin eigenvector, is the first layer weight matrix of the thinness detection head, F It is the fusion feature after spraying. Indicates that the thin feature vector is a 128-dimensional feature vector, is the second layer weight vector of the thinness detection head, is the offset term of the thinness detection head, is a linear activation function, is the Sigmoid activation function, This is the output of the thinness detection head, used to determine whether there is an excessively thin area based on the lower limit of the design requirements.

[0059] Thickness detection head:

[0060]

[0061] in, is an overly thick eigenvector, is the first layer weight matrix of the thickness detection head, F It is the fusion feature after spraying. Indicates that the overly thick feature vector is a 128-dimensional feature vector, is the second layer weight vector of the thickness detection head, is the offset term of the thickness detection head, is a linear activation function, is the Sigmoid activation function, This is the output of the thickness detection head, used to determine whether there are areas of excessive thickness based on the design upper limit. Dual detection heads identify areas of excessive thickness and thinness separately, with independent weights. Learning distinct feature patterns allows for more accurate identification of these areas.

[0062] This embodiment uses microwave near-field scanning to quickly identify uncovered areas, and combines laser-induced fluorescence to identify tiny leaks, which can efficiently and accurately identify the coverage of silane anti-corrosion coatings. By collecting multi-spectral data after spraying, thermal imaging data after spraying, and laser topography data after spraying, water absorption characteristics, scattering characteristics, temperature rise rate characteristics, steady-state temperature difference characteristics, roughness characteristics, and local curvature characteristics are extracted, and then feature fusion is performed. The fused post-spray fusion features are used to identify overly thin areas and overly thick areas using a thinness detection head and a thickness detection head respectively. By utilizing the different characteristics of each feature response, the overly thin areas and overly thick areas are detected through the fusion of multiple features. At the same time, a dual detection head structure is used to independently learn different feature patterns, thereby improving the recognition accuracy of overly thin areas and overly thick areas and reducing the misjudgment rate. It can also be used to indicate efficient and accurate repairs to silane anti-corrosion coatings, which can ensure the performance of the anti-corrosion coating.

[0063] Example 3 Figure 3 This is a flow chart of a method for detecting anti-corrosion spraying of bridge pier columns according to the third embodiment of the present invention. This embodiment is optimized based on the above embodiment. In this embodiment, S103 is specifically optimized as follows: The moisture content of the surface of the bridge pier column to be sprayed is detected by using a multi-spectral imager and an infrared thermal imager to obtain the moisture content of the bridge pier column surface; According to the moisture content of the pier column surface, if the moisture content of the pier column surface exceeds the requirements for anti-corrosion coating spraying, the pier column surface should be dried and the moisture content should be tested again after the drying process is completed; If the moisture content on the surface of the pier column meets the requirements for anti-corrosion coating spraying construction, anti-corrosion coating spraying construction shall be carried out.

[0064] Accordingly, the detection method for the anti-corrosion spraying operation of the bridge pier provided in this embodiment specifically includes: S301, pre-spraying inspection is performed on the surface of the bridge pier column to be sprayed, and the residual condition of the concrete surface of the bridge pier column is analyzed.

[0065] S302: Based on the results of the pre-spraying test and the type of residue on the concrete surface of the pier column, a corresponding cleaning method is used to clean the surface of the pier column to be sprayed.

[0066] S303, using a multispectral imager and an infrared thermal imager to detect the moisture content of the surface of the bridge pier column to be sprayed, to obtain the moisture content of the bridge pier column surface.

[0067] A multispectral imager and an infrared thermal imager were used to scan the surface of the bridge pier to be sprayed, respectively, collecting multispectral data and thermal imaging data. The thermal imaging data was used to compensate for the multispectral data, reducing the impact of temperature on the spectrum and improving the accuracy of the multispectral data. A convolutional neural network was used to extract the spectral and temperature features of the multispectral and thermal imaging data and perform feature fusion to calculate the moisture content of the bridge pier surface.

[0068] Specifically, a multispectral imager and an infrared thermal imager are used to scan the surface of the bridge pier column, collect multispectral data and thermal image data of the bridge pier column surface, and perform corresponding data preprocessing.

[0069] After using a multispectral imager and an infrared thermal imager to scan the surface of the bridge pier to generate multispectral data and thermal imaging data, the multispectral data and thermal imaging data need to be preprocessed to ensure data quality for subsequent accurate calculations. This can be done by performing radiation correction on the multispectral data to eliminate light source fluctuations and performing spatial differential calculations on the thermal imaging data.

[0070] The multispectral data is compensated using the thermal imaging data to form compensated spectral data.

[0071] Since concrete releases hydration heat over a long period of time during its hardening and solidification process, it is necessary to use temperature gradients to compensate for multispectral data to eliminate local microenvironmental differences caused by the hydration heat of large volumes of concrete. When the internal water content is high and heat conduction is enhanced, the reflectivity calculation value of the area is reduced. When the surface evaporates quickly and the local temperature drops, the reflectivity weight of the area is increased to reduce the detection error of the hydration heat area. Compensating spectral data The calculation formula is as follows:

[0072] in, is the original spectral reflectance, measured by a multispectral imager, is the temperature linear compensation coefficient, which is calibrated at a constant temperature in the laboratory. is the temperature gradient compensation coefficient, The difference between the current temperature and the reference temperature. Assuming the reference temperature is 25°C, the current temperature measured by the thermal imager minus 25°C is obtained. is the temperature gradient modulus, calculated by spatial differentiation of thermal image data. The temperature linear compensation coefficient is calculated by placing a concrete specimen in a temperature-controlled chamber, measuring the spectral reflectance at different temperature gradients, calculating the ratio of the reflectance difference to the spectral reflectance at the reference temperature based on the spectral reflectance difference between the actual temperature and the reference temperature, and then comparing this ratio with the temperature difference between the actual temperature and the reference temperature. The temperature gradient compensation coefficient is calculated by heating one side of the precast concrete slab to create a temperature gradient, measuring the reflectance deviation at different temperature gradients, and taking the absolute value of the ratio of the reflectance deviation to the temperature gradient modulus.

[0073] Feature extraction is performed on the compensated spectrum data and thermal image data to obtain spectrum features and temperature features.

[0074] Convolutional neural network (CNN) is used to extract features from the compensated spectral data to obtain spectral features. . Use convolutional neural network (CNN) to extract features from thermal image data and obtain temperature features Both spectral features and temperature features are expressed in the form of multidimensional vectors.

[0075] The spectral features and temperature features are used to perform feature fusion, and the surface moisture content of the bridge pier column is output through regression.

[0076] The spectral features and temperature features are fused. When fusion is performed, the temperature is used to calculate the weight coefficient to form a temperature-weighted attention feature fusion. A higher fusion weight is given to the high temperature area (hydration heat active area / water migration active area) to obtain the fusion feature. , the formula is as follows:

[0077] in, is the weight coefficient, , ( k =0.1), is the spectral characteristic, , is the temperature characteristic, The fusion features are input into the fully connected layer for nonlinear mapping to obtain the surface moisture content of the bridge pier column. :

[0078] in, is the weight of the fully connected layer, Indicates the i Fusion features are obtained through back propagation optimization during the training phase. is the bias term and is the average moisture content baseline of concrete.

[0079] S304: Based on the moisture content of the pier column surface, if the moisture content of the pier column surface exceeds the anti-corrosion coating spraying construction requirements, the pier column surface is dried and the moisture content is tested again after the drying process is completed.

[0080] To ensure the corrosion resistance of silane anti-corrosion coatings, the moisture content of the concrete surface to be sprayed must be strictly controlled before spraying. Excessive moisture content can cause cracking, warping, and flaking of the sprayed anti-corrosion coating, ultimately leading to a partial loss of corrosion resistance and threatening the durability of the pier column and even the safety of the cross-sea bridge. If the moisture content of the pier column surface exceeds the requirements for spraying the anti-corrosion coating, drying is required to reduce the moisture content. The concrete surface of the pier column is dried using hot air drying (gradient hot air drying). For example, for drying the shallow layer (0-5mm), a stepwise cooling method from 60°C to 40°C and a wind speed of 8-10m / s is used. Effective results can be achieved within 12-24 hours. For drying the deeper layer (5-30mm), a constant temperature of 45°C and a wind speed of 3-5m / s are used, achieving effective results within 48-72 hours. However, this method should be used with caution to avoid thermal damage to the concrete surface. You can also use vacuum capillary pumping to drill holes in the concrete surface and bury water-permeable needles, then connect a vacuum pump to pump for 48 hours. This method can avoid thermal damage to the concrete surface, but it will cause corresponding drilling damage, which needs to be repaired during subsequent construction.

[0081] S305: If the surface moisture content of the pier column meets the requirements for anti-corrosion coating spraying, then anti-corrosion coating spraying shall be carried out.

[0082] When it is detected that the moisture content on the surface of the pier column meets the requirements for the anti-corrosion coating spraying construction, subsequent anti-corrosion coating spraying construction operations can be carried out. If the moisture content test is still unqualified, it is necessary to continue the drying operation to ensure the performance of the sprayed anti-corrosion coating.

[0083] S306, performing post-spraying inspection on the surface of the sprayed bridge pier column, and performing corresponding repairs based on the inspection results.

[0084] This embodiment collects multispectral and thermal imaging data from the pier column surface, compensates the multispectral data using the thermal imaging data, and then calculates the surface moisture content of the pier column by integrating the compensated spectral data with the spectral and temperature features extracted from the thermal imaging data. By utilizing the multispectral water absorption-sensitive bands and combining them with the temperature gradient changes caused by the difference in heat absorption between water and concrete during thermal imaging, the surface moisture content of the concrete can be accurately detected, providing reliable data support for the subsequent silane anti-corrosion coating spraying operation and the resulting anti-corrosion effect. Furthermore, the multispectral imaging system and infrared thermal imager, also used in the post-spraying inspection phase, are employed to perform different identification methods, improving equipment utilization while reducing inspection costs and adapting to various operational needs.

[0085] Example 4 Figure 4 This is a schematic structural diagram of a detection device for anti-corrosion spraying of bridge pier columns according to a fourth embodiment of the present invention. In this embodiment, the detection device for anti-corrosion spraying of bridge pier columns includes: The pre-spraying detection module 810 is used to perform pre-spraying detection on the surface of the bridge pier column to be sprayed and analyze the residual condition of the concrete surface of the bridge pier column; The surface cleaning module 820 is used to clean the surface of the pier column to be sprayed based on the results of the pre-spraying inspection and the type of residue on the concrete surface of the pier column; The moisture content detection module 830 is used to detect the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test, and to perform surface drying treatment or anti-corrosion coating spraying according to the moisture content detection result; The post-spraying inspection module 840 is used to perform post-spraying inspection on the surface of the pier column after spraying, and perform corresponding repairs based on the inspection results.

[0086] This embodiment uses a pre-spray inspection module to perform residue inspection on the surface of the pier to be sprayed. A surface cleaning module performs appropriate residue cleaning based on the pre-spray inspection results. A moisture detection module performs moisture testing on the surface of the pier to be sprayed that has passed the cleaning process. Drying treatment or anti-corrosion coating spraying is performed based on the moisture content test results. A post-spray inspection module then performs coverage and uniformity testing on the sprayed pier surface. This pre-spray inspection, performed before spraying the silane anti-corrosion coating, identifies residual oil, release agent, and laitance on the concrete surface and performs appropriate cleaning. Surface moisture testing is then performed to ensure the effectiveness of the subsequent silane anti-corrosion coating spraying. By conducting post-spray inspections on the surface of the piers after spraying, uncovered areas, minor leaks, and areas where the coating is too thin or too thick are identified and repaired accordingly, the silane anti-corrosion coating is ensured to have complete coverage, a uniform thickness, and good penetration into the concrete surface. This ultimately ensures the performance of the anti-corrosion coating and meets the durability and safety requirements of the cross-sea bridge. Using modern methods, high-precision inspections of the pier anti-corrosion spraying work are carried out to ensure construction quality and subsequent related guarantee requirements.

[0087] The detection device for anti-corrosion spraying operation of bridge pier columns provided by the embodiment of the present invention can execute the detection method for anti-corrosion spraying operation of bridge pier columns provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0088] Example 5 Figure 5 This is a structural diagram of an electronic device according to a fifth embodiment of the present invention. Figure 5 A block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 5 The device 12 shown is only an example and should not bring any limitation to the functionality and scope of use of the embodiments of the present invention.

[0089] like Figure 5 As shown, device 12 is implemented as a general-purpose computing device. Components of device 12 may include, but are not limited to, one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).

[0090] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0091] Device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by device 12, including volatile and non-volatile media, removable and non-removable media.

[0092] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, usually called a "hard drive"). Although Figure 5 Although not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), as well as an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0093] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally implement the functions and / or methodologies of the embodiments described herein.

[0094] Device 12 may also communicate with one or more external devices 14 (e.g., a keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with device 12 / server / computer, and / or any device that enables device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). This communication may occur via input / output (I / O) interface 22. Furthermore, device 12 may communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of device 12 via bus 18. It should be understood that, although not shown, other hardware and / or software modules may be used in conjunction with device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0095] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28 , such as implementing the detection method for the anti-corrosion spraying operation of a bridge pier column provided in an embodiment of the present invention.

[0096] Example 6 The sixth embodiment of the present invention further provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the detection method for the anti-corrosion spraying operation of bridge pier columns as provided in the above embodiment.

[0097] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0098] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0099] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0100] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, Python, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0101] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for detecting anti-corrosion spraying of bridge pier columns, characterized in that: include: S101, pre-spraying inspection is performed on the surface of the bridge pier column to be sprayed, and the residual condition of the concrete surface of the bridge pier column is analyzed; S102, based on the results of the pre-spraying test and the type of residue on the concrete surface of the pier column, a corresponding cleaning method is used to clean the surface of the pier column to be sprayed; S103, testing the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test, and performing surface drying treatment or anti-corrosion coating spraying according to the moisture content test result; S104, performing a post-spraying inspection on the surface of the bridge pier column, and performing corresponding repairs based on the inspection results.

2. The method according to claim 1, characterized in that The S104 includes: Microwave near-field scanning and laser-induced fluorescence were used to detect the coverage of the sprayed bridge pier surface. Multispectral imagers, infrared thermal imagers and laser displacement meters are used to detect the uniformity of the surface of the sprayed bridge pier columns and identify areas where the thickness of the silane anti-corrosion coating exceeds the design upper and lower limits.

3. The method according to claim 2, characterized in that The use of a multispectral imager, an infrared thermal imager, and a laser displacement meter to detect the uniformity of the sprayed bridge pier surface and identify areas where the thickness of the silane anti-corrosion coating exceeds the design upper and lower limits includes: The surface of the sprayed bridge pier column was scanned using a multispectral imager, an infrared thermal imager, and a laser displacement meter to obtain multispectral data, thermal imaging data, and laser topography data after spraying. Extracting water absorption characteristics and scattering characteristics from the multispectral data after spraying, extracting temperature rise rate characteristics and steady-state temperature difference characteristics from the thermal imaging data after spraying, and extracting roughness characteristics and local curvature characteristics from the laser topography data after spraying; Performing feature fusion on the water absorption feature, scattering feature, temperature rise rate feature, steady-state temperature difference feature, roughness feature, and local curvature feature to obtain a post-spraying fusion feature; Shared features are extracted from the fused features after spraying, and thinness detection heads and thickness detection heads are used to identify areas where the thickness of the silane anti-corrosion coating exceeds the designed upper and lower limits.

4. The method according to claim 1, wherein The S103 includes: The moisture content of the surface of the bridge pier column to be sprayed is detected by using a multi-spectral imager and an infrared thermal imager to obtain the moisture content of the bridge pier column surface; According to the moisture content of the pier column surface, if the moisture content of the pier column surface exceeds the requirements for anti-corrosion coating spraying, the pier column surface should be dried and the moisture content should be tested again after the drying process is completed; If the moisture content on the surface of the pier column meets the requirements for anti-corrosion coating spraying construction, anti-corrosion coating spraying construction shall be carried out.

5. The method according to claim 4, characterized in that The method of detecting the moisture content of the surface of the bridge pier column to be sprayed by using a multispectral imager and an infrared thermal imager to obtain the moisture content of the surface of the bridge pier column includes: Use a multispectral imager and an infrared thermal imager to scan the surface of the bridge pier column, collect multispectral data and thermal image data of the bridge pier column surface, and perform corresponding data preprocessing; Compensating the multispectral data using the thermal imaging data to form compensated spectral data; Performing feature extraction on the compensated spectral data and thermal imaging data to obtain spectral features and temperature features; The spectral features and temperature features are used to perform feature fusion, and the surface moisture content of the bridge pier column is output through regression.

6. The method according to claim 1, characterized in that The S101 includes: Conduct oil residue detection on the surface of the bridge pier to be sprayed; Conduct release agent residue detection on the surface of the bridge pier to be sprayed; Carry out slurry residue detection on the surface of the bridge pier to be sprayed.

7. The method according to claim 1, characterized in that The S102 includes: According to the pre-spraying test results, the corresponding residues on the surface of the bridge pier to be sprayed are cleaned; After cleaning is completed, pre-spraying inspection is carried out again, and whether to continue cleaning is determined based on the inspection results until the anti-corrosion coating spraying construction requirements are met.

8. A detection device for anti-corrosion spraying of bridge pier columns, characterized in that: include: Pre-spraying inspection module, used to conduct pre-spraying inspection on the surface of the bridge pier column to be sprayed and analyze the residual condition of the concrete surface of the bridge pier column; The surface cleaning module is used to clean the surface of the pier column to be sprayed according to the results of the pre-spraying inspection and the type of residue on the concrete surface of the pier column; The moisture content detection module is used to detect the moisture content of the surface of the bridge pier column to be sprayed after cleaning and passing the test. According to the moisture content test results, the surface is dried or anti-corrosion coating is sprayed; The post-spraying inspection module is used to conduct post-spraying inspection on the surface of the pier column after spraying, and to perform corresponding repairs based on the inspection results.

9. An electronic device, characterized in that: The device comprises: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method for detecting the anti-corrosion spraying operation of the bridge pier column as described in any one of claims 1-7.

10. A storage medium comprising computer-executable instructions, wherein the computer-executable instructions, when executed by a computer processor, are used to perform the method for detecting anti-corrosion spraying operations of bridge pier columns according to any one of claims 1 to 7.

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