Steel testing method, device, electronic equipment and storage medium

Abstract

The present invention provides a steel detection method, device, electronic device, and storage medium, which relate to the field of material analysis. First, a preset material is applied to the surface of steel after inclusion corrosion treatment and heated. Since inclusion corrosion treatment can corrode inclusions in the steel, causing defects on the steel surface, the defects on the steel surface caused by inclusion corrosion after the coating and heating treatment are filled with the preset material. Then, image acquisition processing is performed on the steel surface after the coating and heating treatment to capture and identify the steel surface image to determine whether there are defects on the steel surface caused by inclusion corrosion, that is, to determine whether the steel contains inclusions. This embodiment utilizes the steel surface image to realize automated detection of inclusions in steel, greatly improving the detection accuracy and efficiency of inclusions in steel, thereby further improving material performance and reducing quality risks.

Description

Technical Field

[0001] The present invention relates to the field of material analysis, and in particular to a steel material detection method, device, electronic equipment and storage medium. Background Art

[0002] Marine steel is a special steel designed specifically for marine engineering environments. It needs to cope with the erosion of multiple factors in the marine environment, such as salt spray, humidity, and wave impact, so it must have higher corrosion resistance.

[0003] Inclusions, as the primary inducing factor for pitting corrosion in steel, have a significant impact on the corrosion resistance of steel. Inclusions create pitting pits at their locations through synergistic interactions with other aggressive ions, galvanic corrosion, micro-crevice corrosion, and chemical dissolution. These pits often lead to reduced dimensional accuracy in workpieces, perforation of equipment pipe walls, and increased stress corrosion cracking.

[0004] Therefore, there is an urgent need for a detection method to improve the detection accuracy of inclusions in marine steel, enhance material properties, and reduce quality risks. Summary of the Invention

[0005] Embodiments of the present invention provide a steel detection method, device, electronic equipment, and storage medium to solve the problem of low detection accuracy of inclusions in steel.

[0006] In a first aspect, an embodiment of the present invention provides a steel material detection method, comprising:

[0007] The surface of the steel material after the inclusion corrosion treatment is coated and heated with a preset material so that the surface defects of the steel material are filled with the preset material; wherein the preset material has photothermal properties and component specificity;

[0008] Performing image acquisition and processing on the surface of the steel material after the coating and heat treatment to obtain a steel material surface image; wherein the steel material surface image includes one or more of an optical image, a thermal image, and an element distribution image;

[0009] Based on the steel surface image, it is determined whether the steel has inclusions.

[0010] In a possible implementation, the steel surface image includes the optical image, the thermal image, and the element distribution map;

[0011] The determining whether the steel has inclusions based on the steel surface image includes:

[0012] Overlaying the optical image, the thermal image, and the element distribution map to obtain a composite image of the steel surface; wherein the optical image, the thermal image, and the element distribution map correspond to the same steel surface area;

[0013] It is determined whether the steel material has inclusions based on the synthesized image.

[0014] In a possible implementation, the preset material is a hydrogel material, and the hydrogel material includes gold nanoparticles and an organic photothermal dye;

[0015] The optical image is used to record the optical characteristic image of the steel surface and the organic photothermal dye filled in the defects on the steel surface, and the color channel of the pixel points in the optical characteristic image of the organic photothermal dye is the first preset color channel;

[0016] The thermal image is used to record the temperature distribution image of the steel surface and the hydrogel material filled in the defects on the steel surface, and the color channel of the pixel points in the temperature distribution image of the hydrogel material is the second preset color channel;

[0017] The element distribution map is used to record element distribution characteristic images of the steel surface and the gold nanoparticles filled in defects on the steel surface, and the color channel of the pixel points in the element distribution characteristic image of the gold nanoparticles is the third preset color channel;

[0018] The first preset color channel, the second preset color channel, and the third preset color channel are different.

[0019] In a possible implementation, determining whether the steel material has inclusions based on the composite image includes:

[0020] Obtaining a color channel for each pixel in the composite image; wherein the color channel for each pixel in the composite image is obtained by channel-by-channel superposition of the color channels of corresponding pixels in the thermal image, the optical image, and the element distribution map;

[0021] Detecting whether there are pixels of a fourth preset color channel in the composite image; wherein the fourth preset color channel is determined based on the superposition of the first preset color channel, the second preset color channel, and the third preset color channel;

[0022] If it is detected that a pixel point of the fourth preset color channel exists in the composite image, it is determined that the steel has inclusions; otherwise, it is determined that the steel has no inclusions.

[0023] In a possible implementation, after determining whether the steel has inclusions, the method further includes:

[0024] If the steel has inclusions, determining the quality index of the steel according to the distribution of the inclusions in the steel;

[0025] Based on the quality indicators, the production process of the steel is optimized.

[0026] In a possible implementation, the method of applying a predetermined material to the surface of the steel material after the inclusion corrosion treatment and performing a heating treatment so that the surface defects of the steel material are filled with the predetermined material includes:

[0027] Controlling the coating device to coat the preset material on the surface of the steel material after the inclusion corrosion treatment;

[0028] Controlling the near-infrared light heating device to irradiate the surface of the steel material so as to heat up and liquefy the predetermined material on the surface of the steel material;

[0029] The mechanical scraping device is controlled to scrape off excess preset material on the surface of the steel material, so that the defects on the surface of the steel material are filled with the heated and liquefied preset material.

[0030] In a possible implementation, before applying a predetermined material to the surface of the steel material after the inclusion corrosion treatment and performing a heat treatment, the method further includes:

[0031] Immersing the steel material in a pre-configured corrosive solution, and controlling the chemical reaction between the steel material surface and the corrosive solution based on preset corrosion parameters to corrode inclusions, thereby obtaining steel material that has been treated with inclusion corrosion;

[0032] The pre-configured etching solution includes hydrochloric acid, ferric chloride and sodium chloride, and the inclusions are non-metallic inclusions.

[0033] In a second aspect, an embodiment of the present invention provides a steel material detection device, comprising:

[0034] The first processing unit is configured to apply a predetermined material to the surface of the steel material after the inclusion corrosion treatment, and perform a coating and heating treatment so that the surface defects of the steel material are filled with the predetermined material; wherein the predetermined material has photothermal properties and component specificity;

[0035] An acquisition unit is used to acquire and process images of the steel surface after the coating and heating treatment to obtain a steel surface image; wherein the steel surface image includes one or more of an optical image, a thermal image, and an element distribution image;

[0036] The second processing unit is configured to determine whether the steel has inclusions based on the steel surface image.

[0037] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the steel detection method according to the first aspect or any possible implementation of the first aspect are implemented.

[0038] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the steel detection method as described in the first aspect or any possible implementation of the first aspect are implemented.

[0039] The embodiments of the present invention provide a steel detection method, device, electronic device, and storage medium. First, a preset material is applied to the surface of the steel after inclusion corrosion treatment and heated. Since the inclusion corrosion treatment can corrode the inclusions in the steel, causing defects on the steel surface, the defects on the steel surface caused by inclusion corrosion after the coating and heating treatment are filled with the preset material. Then, the steel surface after the coating and heating treatment is imaged and processed to capture the steel surface image, and identify the steel surface image to determine whether there are defects on the surface caused by inclusion corrosion, that is, to determine whether the steel contains inclusions. This embodiment utilizes the steel surface image to achieve automated detection of inclusions in the steel, and utilizes the photothermal properties and / or composition specificity of the preset material to highlight the defects on the steel surface in the steel surface image. This greatly improves the detection accuracy of inclusions in the steel, thereby further improving material performance and reducing quality risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 This is a flow chart of an implementation of a steel material detection method provided by an embodiment of the present invention;

[0042] Figure 2 This is a flow chart of another steel material detection method provided by an embodiment of the present invention;

[0043] Figure 3 Schematic diagram of the structure of a steel material detection device provided by an embodiment of the present invention;

[0044] Figure 4 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In the following description, specific details such as particular system structures and techniques are provided for purposes of illustration, not limitation, to facilitate a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0046] Inclusions are the primary cause of pitting corrosion in steel. Their presence can alter the electrochemical properties of the steel surface, making it more susceptible to localized corrosion, such as pitting. Corrosion products often mask pitting pits, making them difficult to detect. This can easily lead to unexpected accidents and is one of the most dangerous and destructive types of corrosion. Furthermore, inclusions, through synergistic interactions with other aggressive ions, galvanic corrosion, micro-crevice corrosion, and chemical dissolution, create pitting pits at their locations. These pits often result in reduced workpiece dimensional accuracy, perforation of equipment pipe walls, and increased stress corrosion cracking. Therefore, it is necessary to improve the accuracy of inclusion detection in steel and promptly identify inclusions so that timely improvements can be implemented to prevent them from impacting workpiece performance and causing safety incidents.

[0047] In an embodiment of the present invention, a preset material is first applied to the surface of the steel after the inclusion corrosion treatment and heated. Since the inclusion corrosion treatment can corrode the inclusions in the steel, causing defects on the steel surface caused by the inclusions, the defects on the steel surface caused by the inclusion corrosion after the coating and heating treatment are filled with the preset material. Then, the steel surface after the coating and heating treatment is imaged and processed to collect an image of the steel surface. This embodiment utilizes the photothermal properties or composition specificity of the preset material to highlight the defects on the steel surface in the steel surface image. Finally, the steel surface image is identified to determine whether there are inclusions in the steel.

[0048] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below with reference to the accompanying drawings.

[0049] Figure 1 The following is a flow chart of a steel material detection method according to an embodiment of the present invention:

[0050] Step 101, using a preset material to apply a coating and heating treatment to the surface of the steel that has been treated for inclusion corrosion, so that the preset material is filled in the surface defects of the steel; wherein the preset material has photothermal properties and component specificity.

[0051] For example, this embodiment calculates the required amounts of various chemical reagents based on the steel material and corrosion requirements. An automated metering device pre-dispenses the etching solution. The pre-dispensed etching solution is then used to corrode the steel surface. For example, automated equipment precisely transports the steel to be corroded to the corrosion work area. The automated control system pre-sets various corrosion parameters, such as corrosion time, etching solution temperature, and stirring speed. The automated control system then regulates the subsequent corrosion process based on these pre-set corrosion parameters.

[0052] Among them, this embodiment can detect and identify one or more inclusions, and it is only necessary to configure the etching solution reasonably for the inclusions.

[0053] This embodiment does not limit the type of steel, and it can be marine engineering steel, etc.

[0054] After inclusion corrosion treatment, defects caused by inclusion corrosion will be exposed on the surface of the steel, such as pits. Therefore, in this embodiment, a preset material is used to coat and heat the surface of the steel after inclusion corrosion treatment, and the defects on the steel surface will be filled with the preset material.

[0055] Step 102: performing image acquisition processing on the surface of the steel material after the coating and heat treatment to obtain a steel material surface image; wherein the steel material surface image includes one or more of an optical image, a thermal image, and an element distribution image.

[0056] For example, since the preset material has photothermal properties and cost specificity, in order to realize the automatic identification of whether there are defects on the steel surface caused by corrosion of inclusions, this embodiment first collects images of the steel surface after coating and heat treatment, and obtains one or more of the following steel surface images: optical images, thermal images, and element distribution maps.

[0057] Among them, since the preset material has photothermal characteristics and cost specificity, the optical image records the optical characteristic images of the steel surface and the preset material filled in the defects on the steel surface; the thermal imaging image records the temperature distribution image of the steel surface and the preset material filled in the defects on the steel surface; the element distribution map records the element distribution characteristic images of the steel surface and the preset material filled in the defects on the steel surface.

[0058] The element distribution map can be an EDS surface scan map. It can be obtained through energy-dispersive X-ray spectroscopy (EDS) surface scanning. In surface scanning mode, EDS scans a selected surface on the sample surface to obtain element distribution information for the entire area.

[0059] Step 103: Determine whether the steel has inclusions based on the steel surface image.

[0060] Illustratively, this embodiment automatically identifies one or more of the acquired optical images, thermal images, and element distribution maps to determine defects caused by corrosion of inclusions, and further determine whether the steel contains inclusions.

[0061] In a feasible implementation, this embodiment may use a pre-trained image recognition model to identify the collected image and determine whether there are defects on the steel surface in the image caused by corrosion of inclusions.

[0062] In another feasible implementation, this embodiment can also utilize the photothermal properties and component specificity of a preset material to analyze the distinguishing characteristic points in the optical image, thermal image, and element distribution map to determine defects caused by corrosion of inclusions.

[0063] In summary, this embodiment provides a steel inspection method, specifically relating to the field of analyzing materials by measuring the chemical properties of the materials. First, a predetermined material is applied to the surface of the steel after the inclusion corrosion treatment and heated. Since the inclusion corrosion treatment can corrode the inclusions in the steel, causing defects on the steel surface, the defects on the steel surface caused by the inclusion corrosion after the coating and heating treatment are filled with the predetermined material. Then, the steel surface after the coating and heating treatment is imaged and processed to capture the steel surface image, and the steel surface image is identified to determine whether there are defects on the steel surface caused by the inclusion corrosion, that is, to determine whether the steel contains inclusions. This embodiment utilizes the steel surface image to achieve automated detection of inclusions in the steel, and utilizes the photothermal properties and / or composition specificity of the predetermined material to highlight the defects on the steel surface in the steel surface image. This greatly improves the detection accuracy of inclusions in the steel, thereby further improving material performance and reducing quality risks.

[0064] To more accurately corrode inclusions, this embodiment uses a prepared corrosive solution including hydrochloric acid, ferric chloride, and sodium chloride to chemically react with the steel, and controls the corrosion process based on preset corrosion parameters to achieve precise corrosion of inclusions in the steel. Furthermore, to more clearly highlight the characteristics of surface defects in the steel, this embodiment uses a hydrogel material including gold nanoparticles and an organic photothermal dye to coat the steel surface, and controls a near-infrared heating device to irradiate the coated steel surface so that the liquefied hydrogel material can more closely fill the steel surface defects, thereby improving detection accuracy. Since the hydrogel material including gold nanoparticles and the organic photothermal dye has photothermal properties and component specificity, this embodiment further collects optical images, thermal images, and elemental distribution maps of the steel surface after coating and heating treatment. The optical image shows the optical characteristic images of the steel surface and the organic photothermal dye filling the steel surface defects, the thermal image shows the temperature distribution images of the steel surface and the hydrogel material filling the steel surface defects, and the elemental distribution characteristics of the gold nanoparticles filling the steel surface defects in the elemental distribution map. Different images are used to highlight the characteristics of steel surface defects, further improving the accuracy of inclusion detection.

[0065] Figure 2 The following is a flowchart of another steel material detection method provided by an embodiment of the present invention:

[0066] In step 201, the steel is immersed in a pre-configured etching solution, and based on preset corrosion parameters, a chemical reaction between the steel surface and the etching solution is controlled to corrode inclusions, thereby obtaining a steel after inclusion corrosion treatment.

[0067] The pre-configured etching solution includes hydrochloric acid, ferric chloride and sodium chloride, and the inclusions are non-metallic inclusions.

[0068] For example, the inclusions may be non-metallic inclusions, such as sulfides, manganese sulfide (MnS). Since the pitting corrosion resistance of steel decreases with increasing Cl- concentration, MnS is susceptible to corrosion by chloride solutions. Therefore, this embodiment designs a corrosive solution containing hydrochloric acid (HCl), ferric chloride (FeCl), and sodium chloride (NaCl).

[0069] In one example, this embodiment prepares a mixed etching solution at room temperature (20-25 degrees Celsius) with a hydrochloric acid concentration of 1 mol / L, a ferric chloride solution concentration of 0.3 mol / L, and a sodium chloride solution concentration of 4 mol / L. This concentration combination allows each of the corrosion effects to be exerted while limiting excessive corrosion of the steel substrate through time control.

[0070] a) First Corrosion Stage (0-30 minutes): During the first 30 minutes after corrosion begins, ferric chloride and sodium chloride act synergistically. Ferric chloride, acting as an oxidant, oxidizes the iron on the steel surface. Simultaneously, the chloride ions in the sodium chloride solution destroy the passive film on the steel surface. This alters the local electrochemical environment around the MnS inclusions, initiating corrosion around them. During this stage, due to the relatively low concentration of hydrochloric acid, its rapid dissolution of the steel matrix is not yet apparent.

[0071] b) Second Corrosion Stage (30-90 minutes): As time progresses, hydrochloric acid begins to play a more significant role. Since the steel matrix surrounding the MnS inclusions was already in a relatively active corrosion state during the previous stage, hydrochloric acid accelerates corrosion in this area. At this stage, ferric chloride continues to oxidize the iron on the steel surface, while the chloride ions in sodium chloride continue to destroy the passive film and promote corrosion around the MnS inclusions. By closely monitoring the corrosion process, by the end of this stage, the MnS inclusions and their surroundings can be corroded while the rest of the steel matrix is not significantly corroded.

[0072] In step 202, a preset material is used to apply a coating and heat treatment to the surface of the steel material after the inclusion corrosion treatment, so that the surface defects of the steel material are filled with the preset material; wherein the preset material has photothermal properties and component specificity.

[0073] In a feasible implementation, step 202 includes:

[0074] The coating device is controlled to coat the preset material on the surface of the steel material after the inclusion corrosion treatment.

[0075] The near-infrared light heating device is controlled to irradiate the surface of the steel material so as to heat up and liquefy the preset material on the surface of the steel material.

[0076] The mechanical scraping device is controlled to scrape off excess preset material on the surface of the steel material, so that the defects on the surface of the steel material are filled with the heated and liquefied preset material.

[0077] For example, after inclusion corrosion treatment, defects caused by inclusion corrosion will be exposed on the surface of the steel, such as pits, etc. Therefore, in this embodiment, a preset material is used to coat and heat the surface of the steel after inclusion corrosion treatment, and the defects on the surface of the steel will be filled with the preset material.

[0078] In one feasible embodiment, the pre-set material possesses both photothermal and component-specific properties. Specifically, the pre-set material includes specific components that impart photothermal properties. In this embodiment, the pre-set material exhibiting photothermal properties can be fully liquefied upon heating, for example, by near-infrared light. At this point, due to the pre-treatment of inclusion corrosion, cavities are created near the inclusions, which serve as storage locations for the liquefied pre-set material.

[0079] In a feasible implementation, in order to effectively distinguish the defective areas on the steel surface from the normal areas on the steel surface, a mechanical scraping device (scraper, scraper, etc.) can be used to scrape away the excess preset material after liquefaction on the steel surface.

[0080] In one example, this embodiment uses automated coating equipment, such as a sprayer, blade coater, or spin coater. Equipment parameters are adjusted based on the steel's shape and coating requirements to ensure uniform application of the desired material. Following the coating process, a near-infrared light source with precisely controlled power and exposure time, such as a near-infrared lamp or laser generator, is employed, along with an automated optical path adjustment system to ensure uniform and stable application of the near-infrared light to the surface of the steel coated with the desired material.

[0081] Step 203 , performing image acquisition processing on the surface of the steel material after the coating and heat treatment to obtain a steel material surface image; wherein the steel material surface image includes one or more of an optical image, a thermal image, and an element distribution image.

[0082] Among them, the preset material is a hydrogel material, which includes gold nanoparticles and organic photothermal dyes.

[0083] The optical image is used to record the optical characteristic image of the steel surface and the organic photothermal dye filled in the defects on the steel surface. The color channel of the pixel point in the optical characteristic image of the organic photothermal dye is the first preset color channel.

[0084] The thermal imaging image is used to record the temperature distribution image of the steel surface and the hydrogel material filled in the defects on the steel surface. The color channel of the pixel point in the temperature distribution image of the hydrogel material is the second preset color channel.

[0085] The element distribution map is used to record the element distribution characteristic images of the steel surface and the gold nanoparticles filled in the defects on the steel surface. The color channel of the pixel points in the element distribution characteristic image of the gold nanoparticles is the third preset color channel.

[0086] The first preset color channel, the second preset color channel, and the third preset color channel are different.

[0087] Illustratively, the preset material in this embodiment may be a polyvinyl alcohol hydrogel including gold nanoparticles and an organic photothermal dye.

[0088] In one possible embodiment, a thermal image is collected after scraping off excess gel on the steel surface. Because near-infrared light heating causes the gel temperature to rise while the temperature of the material matrix does not change much, the temperature of the steel surface defect filled with polyvinyl alcohol hydrogel in the thermal image is higher than the temperature of the steel matrix. After scraping off excess gel on the steel surface, an optical image is collected. Because the polyvinyl alcohol hydrogel is doped with an organic photothermal dye, which will obtain different colors after heating, the steel surface defect filled with polyvinyl alcohol hydrogel in the optical image shows a specific color different from that of the steel matrix, namely, the color of the organic photothermal dye. After scraping off excess gel on the steel surface, an element distribution map is collected. Because the polyvinyl alcohol hydrogel is doped with gold nanoparticles and has a different composition from that of the steel matrix, gold elements are concentrated in the steel surface defect filled with polyvinyl alcohol hydrogel in the element distribution map.

[0089] The color channel of the pixel in the optical characteristic image of the organic photothermal dye is the first preset color channel. Therefore, the color channel of the steel surface defect in the optical image is the first preset color channel. Furthermore, the color channels of the remaining pixels in the optical image, excluding the pixel corresponding to the organic photothermal dye, are color channels other than the first, second, and third preset color channels.

[0090] In this embodiment, the color channel of the pixel corresponding to the hydrogel material in the thermal image is mapped to the second preset color channel. Therefore, the color channel of the steel surface defect in the thermal image is the second preset color channel. Furthermore, the color channels of the remaining pixels in the thermal image, excluding the pixel corresponding to the hydrogel material, are other color channels other than the first, second, and third preset color channels.

[0091] In this embodiment, the color channel of the pixel corresponding to the gold element in the element distribution map is mapped to the third preset color channel. Therefore, the color channel of the steel surface defect in the element distribution map is the third preset color channel. Furthermore, in the element distribution map, the color channels of the remaining pixels, except for the pixel corresponding to the gold element, are other color channels except the first preset color channel, the second preset color channel, and the third preset color channel.

[0092] In step 204, the steel surface image includes an optical image, a thermal image, and an element distribution map; the optical image, the thermal image, and the element distribution map are superimposed to obtain a composite image of the steel surface; wherein the optical image, the thermal image, and the element distribution map correspond to the same steel surface area.

[0093] For example, in this embodiment, in order to ensure the accuracy of detection, the sizes of the optical image, the thermal image, and the element distribution map, as well as the corresponding steel surface areas, are all the same.

[0094] In order to improve the detection accuracy, the steel surface image in this embodiment includes an optical image, a thermal image and an element distribution map.

[0095] Step 205: Determine whether the steel material has inclusions based on the synthesized image.

[0096] In a feasible implementation, step 205 includes the following steps:

[0097] Obtain a color channel for each pixel in the composite image; wherein the color channel for each pixel in the composite image is obtained by channel-by-channel superposition of the color channels of the corresponding pixel in the thermal image, the optical image, and the element distribution map.

[0098] Detect whether there are pixels of a fourth preset color channel in the composite image; wherein the fourth preset color channel is determined based on the superposition of the first preset color channel, the second preset color channel, and the third preset color channel.

[0099] If a pixel point of the fourth preset color channel exists in the detected composite image, it is determined that the steel has inclusions; otherwise, it is determined that the steel has no inclusions.

[0100] Exemplarily, since the color channel of each pixel in the composite image is obtained by channel-by-channel superposition of the color channels of the corresponding pixels in the thermal image, the optical image, and the element distribution map, each pixel in the composite image is traversed and detected. If there is a pixel whose color channel is the fourth preset color channel, where the fourth preset color channel is determined based on the superposition of the first preset color channel, the second preset color channel, and the third preset color channel, it is determined that there are defects on the steel surface due to corrosion of inclusions, that is, the steel has inclusions; otherwise, it is determined that the steel does not have inclusions.

[0101] In a feasible embodiment, the composite image is obtained by superimposing the thermal image, the optical image and the element distribution map in a certain proportion, and the fourth preset color channel is determined by adding the first preset color channel, the second preset color channel and the third preset color channel in this proportion.

[0102] Step 206: If the steel has inclusions, determine the quality index of the steel based on the distribution of the inclusions in the steel.

[0103] For example, if there are pixels in the composite image whose color channel is the fourth preset color channel, the size, shape, etc. of the inclusions can be estimated or calculated based on the position and distribution of the pixels in the composite image whose color channel is the fourth preset color channel, and then the quality indicators of the steel can be determined according to the quality standards.

[0104] Step 207: Optimize the production process of the steel based on the quality index.

[0105] Illustratively, this embodiment guides the optimization of process steps that may cause inclusions in steel based on the determined quality indicators, so as to improve the quality indicators of the steel.

[0106] In summary, this embodiment uses a prepared etching solution including hydrochloric acid, ferric chloride, and sodium chloride to chemically react with steel, and controls the corrosion process based on preset corrosion parameters, thereby achieving precise corrosion of inclusions in the steel. This embodiment uses a hydrogel material including gold nanoparticles and an organic photothermal dye to coat the steel surface, and controls a near-infrared heating device to irradiate the coated steel surface, so that the liquefied hydrogel material can more closely fill the defects on the steel surface. Because the hydrogel material including gold nanoparticles and the organic photothermal dye has photothermal properties and component specificity, this embodiment further collects optical images, thermal images, and element distribution maps of the steel surface after coating and heating treatment. The optical characteristic images of the steel surface and the organic photothermal dye filling the steel surface defects in the optical image, the temperature distribution images of the steel surface and the hydrogel material filling the steel surface defects in the thermal image, and the element distribution characteristic images of the steel surface and the gold nanoparticles filling the steel surface defects in the element distribution map are used to highlight the characteristics of the steel surface defects, thereby further improving the accuracy of inclusion detection.

[0107] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0108] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0109] Figure 3 The following is a schematic diagram of the structure of a steel material detection device provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0110] like Figure 3 As shown, the steel material detection device 300 includes:

[0111] The first processing unit 301 is used to apply a coating and heating treatment to the surface of the steel material after the inclusion corrosion treatment using a preset material so that the surface defects of the steel material are filled with the preset material; wherein the preset material has photothermal properties and component specificity.

[0112] The acquisition unit 302 is used to perform image acquisition and processing on the surface of the steel material after the coating and heating treatment to obtain a steel surface image; wherein the steel surface image includes one or more of an optical image, a thermal image, and an element distribution image.

[0113] The second processing unit 303 is configured to determine whether the steel has inclusions based on the steel surface image.

[0114] In a possible implementation, the steel surface image includes an optical image, a thermal image, and an element distribution map; the second processing unit 303 is specifically configured to:

[0115] The optical image, thermal image and element distribution map are superimposed to obtain a composite image of the steel surface; wherein the optical image, thermal image and element distribution map correspond to the same steel surface area.

[0116] Based on the composite image, determine whether the steel has inclusions.

[0117] In a possible implementation, the preset material is a hydrogel material, which includes gold nanoparticles and an organic photothermal dye.

[0118] The optical image is used to record the optical characteristic image of the steel surface and the organic photothermal dye filled in the defects on the steel surface. The color channel of the pixel point in the optical characteristic image of the organic photothermal dye is the first preset color channel.

[0119] The thermal image is used to record the temperature distribution image of the steel surface and the hydrogel material filled in the defects on the steel surface. The color channel of the pixel point in the temperature distribution image of the hydrogel material is the second preset color channel.

[0120] The element distribution map is used to record the element distribution characteristic images of the steel surface and the gold nanoparticles filled in the defects on the steel surface. The color channel of the pixel points in the element distribution characteristic image of the gold nanoparticles is the third preset color channel.

[0121] The first preset color channel, the second preset color channel, and the third preset color channel are different.

[0122] In a possible implementation, the second processing unit 303 is further configured to:

[0123] Obtain a color channel for each pixel in the composite image; wherein the color channel for each pixel in the composite image is obtained by channel-by-channel superposition of the color channels of the corresponding pixel in the thermal image, the optical image, and the element distribution map.

[0124] Detect whether there are pixels of a fourth preset color channel in the composite image; wherein the fourth preset color channel is determined based on the superposition of the first preset color channel, the second preset color channel, and the third preset color channel.

[0125] If a pixel point of the fourth preset color channel exists in the detected composite image, it is determined that the steel has inclusions; otherwise, it is determined that the steel has no inclusions.

[0126] In one possible implementation, the steel inspection device 300 further includes: a third processing unit, specifically configured to: if the steel has inclusions, determine the quality index of the steel based on the distribution of the inclusions in the steel; and optimize the production process of the steel based on the quality index.

[0127] In a possible implementation, the first processing unit 301 is specifically configured to:

[0128] The coating device is controlled to coat the preset material on the surface of the steel material after the inclusion corrosion treatment.

[0129] The near-infrared light heating device is controlled to irradiate the surface of the steel material so as to heat up and liquefy the preset material on the surface of the steel material.

[0130] The mechanical scraping device is controlled to scrape off excess preset material on the surface of the steel material, so that the defects on the surface of the steel material are filled with the heated and liquefied preset material.

[0131] In one possible implementation, before the first processing unit 301, the steel inspection device 300 further includes a fourth processing unit, which is specifically used to: immerse the steel in a pre-configured corrosive liquid, and based on preset corrosion parameters, control the chemical reaction between the steel surface and the corrosive liquid to corrode inclusions, thereby obtaining steel that has been treated with inclusion corrosion; wherein the pre-configured corrosive liquid includes hydrochloric acid, ferric chloride, and sodium chloride, and the inclusions are non-metallic inclusions.

[0132] Figure 4 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 40 and a memory 41. The memory 41 is used to store a computer program 42, and the processor 40 is used to call and run the computer program 42 stored in the memory 41 to perform the steps in the above-mentioned various steel detection method embodiments, such as Figure 1Alternatively, the processor 40 is used to call and run the computer program 42 stored in the memory 41 to implement the functions of each module / unit in the above-mentioned device embodiments, such as Figure 3 The functions of each unit are shown.

[0133] For example, the computer program 42 may be divided into one or more modules / units, one or more modules / units being stored in the memory 41 and executed by the processor 40 to implement the present invention. One or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the electronic device 4. For example, the computer program 42 may be divided into Figure 3 The individual units shown.

[0134] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation of the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0135] The processor 40 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0136] Memory 41 can be an internal storage unit of electronic device 4, such as a hard drive or memory within electronic device 4. Memory 41 can also be an external storage device within electronic device 4, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, memory 41 can include both an internal storage unit and an external storage device within electronic device 4. Memory 41 is used to store computer programs and other programs and data required by the electronic device. Memory 41 can also be used to temporarily store data that has been output or is about to be output.

[0137] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0138] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0139] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0140] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0141] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0142] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0143] If the integrated module / unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned steel testing method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, removable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunications signals, and software distribution media. It should be noted that the content included in computer-readable media can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, legislation and patent practice do not require computer-readable media to include electric carrier signals and telecommunications signals.

[0144] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A steel material detection method, characterized in that: The method comprises: The surface of the steel material that has been treated for inclusion corrosion is coated and heated with a predetermined material to fill surface defects of the steel material with the predetermined material; wherein the predetermined material has photothermal properties and component specificity; the predetermined material is a hydrogel material that includes gold nanoparticles and an organic photothermal dye; Performing image acquisition and processing on the surface of the steel material after the coating and heat treatment to obtain an optical image, a thermal image, and an element distribution map corresponding to the same area of the steel surface; wherein the optical image, the thermal image, and the element distribution map are used to record, respectively, an optical characteristic image of the organic photothermal dye on the steel surface and defects filled in the steel surface, a temperature distribution image of the hydrogel material, and an element distribution characteristic image of the gold nanoparticles; the color channel of the pixel points in the optical characteristic image of the organic photothermal dye is a first preset color channel, the color channel of the pixel points in the temperature distribution image of the hydrogel material is a second preset color channel, and the color channel of the pixel points in the element distribution characteristic image of the gold nanoparticles is a third preset color channel, and the first preset color channel, the second preset color channel, and the third preset color channel are each different; Overlaying the optical image, the thermal image, and the element distribution map to obtain a composite image of the steel surface; Obtaining a color channel for each pixel in the composite image; wherein the color channel for each pixel in the composite image is obtained by channel-by-channel superposition of the color channels of corresponding pixels in the thermal image, the optical image, and the element distribution map; If a pixel point of a fourth preset color channel is detected in the composite image, it is determined that the steel has inclusions; otherwise, it is determined that the steel has no inclusions; wherein the fourth preset color channel is determined based on the superposition of the first preset color channel, the second preset color channel, and the third preset color channel.

2. The steel material detection method according to claim 1, characterized in that: After determining whether the steel material has inclusions, the method further includes: If the steel has inclusions, determining the quality index of the steel according to the distribution of the inclusions in the steel; Based on the quality indicators, the production process of the steel is optimized.

3. The steel material detection method according to claim 1, characterized in that: The method of applying a predetermined material to the surface of the steel material after the inclusion corrosion treatment and performing a heating treatment so that the surface defects of the steel material are filled with the predetermined material includes: Controlling the coating device to coat the preset material on the surface of the steel material after the inclusion corrosion treatment; Controlling the near-infrared light heating device to irradiate the surface of the steel material so as to heat up and liquefy the predetermined material on the surface of the steel material; The mechanical scraping device is controlled to scrape off excess preset material on the surface of the steel material, so that the defects on the surface of the steel material are filled with the heated and liquefied preset material.

4. The steel material detection method according to claim 1, characterized in that: Before applying a coating and heating treatment on the surface of the steel material after the inclusion corrosion treatment using a preset material, the method further comprises: Immersing the steel material in a pre-configured corrosive solution, and controlling the chemical reaction between the steel material surface and the corrosive solution based on preset corrosion parameters to corrode inclusions, thereby obtaining steel material that has been treated with inclusion corrosion; The pre-configured etching solution includes hydrochloric acid, ferric chloride and sodium chloride, and the inclusions are non-metallic inclusions.

5. A steel material detection device, characterized in that: The device comprises: A first processing unit is configured to apply a predetermined material to the surface of the steel material after the inclusion corrosion treatment and perform a heating treatment so that surface defects of the steel material are filled with the predetermined material; wherein the predetermined material has photothermal properties and component specificity; the predetermined material is a hydrogel material, and the hydrogel material includes gold nanoparticles and an organic photothermal dye; an acquisition unit for performing image acquisition processing on the surface of the steel material after the coating and heat treatment, to obtain an optical image, a thermal image, and an element distribution map corresponding to the same area of the steel surface; wherein the optical image, the thermal image, and the element distribution map are respectively used to record the optical characteristic images of the organic photothermal dye on the steel surface and defects filled in the steel surface, the temperature distribution image of the hydrogel material, and the element distribution characteristic image of the gold nanoparticles; the color channel of the pixel points in the optical characteristic image of the organic photothermal dye is a first preset color channel, the color channel of the pixel points in the temperature distribution image of the hydrogel material is a second preset color channel, and the color channel of the pixel points in the element distribution characteristic image of the gold nanoparticles is a third preset color channel, and the first preset color channel, the second preset color channel, and the third preset color channel are each different; The second processing unit is specifically configured to: The optical image, thermal image and element distribution map are superimposed to obtain a composite image of the steel surface; Obtaining a color channel for each pixel in the composite image; wherein the color channel for each pixel in the composite image is obtained by channel-by-channel superposition of the color channels of corresponding pixels in the thermal image, the optical image, and the element distribution map; If a pixel point of a fourth preset color channel is detected in the composite image, it is determined that the steel has inclusions; otherwise, it is determined that the steel has no inclusions; wherein the fourth preset color channel is determined based on the superposition of the first preset color channel, the second preset color channel, and the third preset color channel.

6. An electronic device, characterized in that: The invention comprises a processor and a memory, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute the steel detection method according to any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steel material detection method according to any one of claims 1 to 4 is implemented.

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