CN114623935A - Steel ladle quasi-throwing and quasi-stopping model application method based on infrared thermal imager imaging data - Google Patents
Steel ladle quasi-throwing and quasi-stopping model application method based on infrared thermal imager imaging data Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 54
- 239000010959 steel Substances 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000003384 imaging method Methods 0.000 title claims abstract description 42
- 239000011449 brick Substances 0.000 claims abstract description 42
- 238000001931 thermography Methods 0.000 claims abstract description 33
- 238000005266 casting Methods 0.000 claims abstract description 28
- 239000002893 slag Substances 0.000 claims abstract description 25
- 238000010276 construction Methods 0.000 claims abstract description 15
- 238000012216 screening Methods 0.000 claims abstract description 11
- 230000008569 process Effects 0.000 claims description 13
- 230000002708 enhancing effect Effects 0.000 claims description 10
- 238000005260 corrosion Methods 0.000 claims description 8
- 230000007797 corrosion Effects 0.000 claims description 8
- 238000009826 distribution Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 238000002310 reflectometry Methods 0.000 claims description 6
- 238000012800 visualization Methods 0.000 claims description 6
- 230000007306 turnover Effects 0.000 claims description 5
- 238000001228 spectrum Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 abstract description 5
- 230000008439 repair process Effects 0.000 abstract description 2
- 230000006872 improvement Effects 0.000 description 8
- 239000000463 material Substances 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000003628 erosive effect Effects 0.000 description 3
- 238000000638 solvent extraction Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000009628 steelmaking Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D41/00—Casting melt-holding vessels, e.g. ladles, tundishes, cups or the like
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D46/00—Controlling, supervising, not restricted to casting covered by a single main group, e.g. for safety reasons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
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Abstract
The invention provides a ladle quasi-throwing and quasi-stopping model application method based on infrared thermal imager imaging data, which relates to the technical field of ladle hot repair and comprises the following steps: selecting an instrument, controlling parameters, screening pictures, constructing a quasi-drop model, dividing regions, applying the quasi-drop model, constructing a quasi-stop model and applying the quasi-stop model; according to the method, the baked outer wall of the steel ladle is subjected to thermal imaging shooting by using an infrared thermal imager, the temperature of each part of the baked steel ladle is captured, the collected thermal imaging photos of the steel ladle correspond to an upper slag line, a wall brick, a lower slag line and a bottom brick in an actual steel ladle, model construction and color feature extraction are carried out, the minimum temperature of each part is obtained and used as a quasi-casting model, when the method is applied, the baking device is lifted for shooting within 3 minutes before the molten steel ladle is cast, when the maximum temperature of a single area of an imaging picture exceeds the critical temperature of the area in the model, the casting is regarded as quasi-casting, the baking condition of each part of the steel ladle is conveniently and accurately judged, and stable red ladle steel splicing is ensured.
Description
Technical Field
The invention relates to the technical field of ladle hot repair, in particular to a ladle quasi-throwing and quasi-stopping model application method based on imaging data of an infrared thermal imager.
Background
In the steel-making process, aiming at the use of a steel ladle, the accurate casting and accurate stopping of the steel ladle are important steps, and the whole production process is influenced, so that the judgment of the accurate casting and accurate stopping is important;
the existing steel ladle standard casting judging mode mainly has two types: firstly, an operator closely senses the baking temperature of the ladle and judges the accurate casting by combining the baking time; secondly, an infrared thermometer is used for measuring the temperature of a single position of the outer wall of the ladle to judge the accurate casting; the two modes can not comprehensively reflect the baking condition of each part of the ladle, have high misjudgment probability and easily cause low-temperature production interruption accidents;
and the current steel ladle stop-accurate judging mode is mainly as follows: operating staff visually observe erosion conditions of all parts of the ladle lining at a close distance to judge the accurate casting; in the mode, the misjudgment probability is high, the misjudgment is easy to cause, the ladle corrosion excessive penetration accident is caused, or the residual thickness of the ladle lining is too thick, and the cost is wasted, so that the invention provides the ladle quasi-throwing and quasi-stopping model application method based on the imaging data of the infrared thermal imager to solve the problems in the prior art.
Disclosure of Invention
Aiming at the problems, the invention provides a ladle quasi-throwing and quasi-stopping model application method based on imaging data of an infrared thermal imager, which is convenient for accurately judging the baking condition of each part of a ladle, ensures real stable red ladle to connect steel and guides production; the condition of each position erosion of ladle is convenient for accurately judge, guarantees that the ladle is safely rolls off the production line, ensures that the resistant material erosion is suitable, promotes resistant material life, and the cost is optimal.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: the application method of the steel ladle quasi-throwing and quasi-stopping model based on the imaging data of the infrared thermal imager comprises the following steps:
the method comprises the following steps: selection instrument
Selecting an infrared thermal imager as a side-viewing instrument, and performing thermal imaging shooting on the baked outer wall of the steel ladle by using the infrared thermal imager;
step two: control parameter
Controlling the thermal imaging shooting distance and the thermal imaging reflectivity so as to shoot each area of the outer wall of the baked ladle and collect pictures, and obtaining the minimum temperature of each area according to the color distribution in thermal imaging;
step three: picture screening
Screening the pictures to form an image data set, then extracting the color characteristic of each region picture in the image data set, and determining the color characteristic value of each region picture;
step four: quasi-projection model construction
Adopting ContextCapture to carry out three-dimensional model construction on the image screened in the step three, visualizing the picture in 3D, and enhancing the visualization effect through symbolization to obtain a quasi-projection model;
step five: region partitioning
Analyzing the quasi-casting model corresponding to the actual ladle tank, distinguishing upper slag line, wall bricks, lower slag line and bottom brick regions, inputting color characteristic values of each region, determining the critical temperature of each region according to the minimum temperature of each region, and inputting the critical temperature into the model for judging the baking condition of each region of the ladle;
step six: quasi-projection model application
The method comprises the steps that a quasi-casting model is put into application, an infrared thermal imager is used for photographing when a ladle baking device is lifted before a molten steel ladle is cast, then an imaging picture is input into the quasi-casting model to compare with a color characteristic value, so that the temperature of each part of the imaging picture is determined, and the quasi-casting is regarded as the quasi-casting when the highest temperature of a single area of the imaging picture exceeds the critical temperature of the area in the quasi-casting model;
step seven: quasi-parking model construction
Repeating the steps, utilizing an infrared thermal imager to shoot a picture, obtaining the highest temperature input by each area according to color distribution in thermal imaging, then constructing a stop-and-go model, distinguishing a slag line, an upper wall brick, a lower wall brick and a bottom brick area, determining the critical temperature of each area according to the highest temperature input by each area, and inputting the critical temperature into the model for judging the corrosion condition of each area of the ladle;
step eight: quasi-stop model application
And (3) putting the quasi-stop model into application, taking a picture by using an infrared thermal imager in the turnover process of the molten steel tank, inputting an imaging picture into the quasi-stop model to compare with a color characteristic value, and regarding the imaging picture as quasi-stop when the highest temperature of a single region of the imaging picture exceeds the critical temperature of the region in the model.
The further improvement is that: and in the second step, controlling the thermal imaging shooting distance to be 8-10m, and setting the thermal imaging reflectivity to be 0.95.
The further improvement lies in that: in the third step, the specific screening process comprises the following steps: the weight is removed first and then the low quality image data is culled based on image sharpness.
The further improvement lies in that: in the third step, the specific process of determining the color characteristic value is as follows: the method comprises the steps of directly converting an RGB image into an HLS image by utilizing ENVI software, extracting color features, then solving a second derivative of a spectrum of the image, writing a second derivative operation algorithm in an ENVI IDL, and determining a feature value of each image.
The further improvement lies in that: in the fourth step, the concrete process of model construction is as follows: and carrying out 3D visualization on the screened images by adopting ContextCapture, enhancing a display effect through symbolization, particularly enhancing color characteristics, and then carrying out vectorization on image numerical values by utilizing SVG to form points, lines and planes so as to obtain an accurate projection model.
The further improvement lies in that: in the fifth step, the critical temperature of the upper slag line is 245 ℃, the critical temperature of the wall brick is 190 ℃, the critical temperature of the lower slag line is 190 ℃, and the critical temperature of the bottom brick is 170 ℃.
The further improvement lies in that: and in the sixth step, the ladle baking device is lifted for 3 minutes before the molten steel ladle is put into the ladle, and an infrared thermal imager is used for photographing.
The further improvement lies in that: in the seventh step, the critical temperature of the slag line is 280 ℃, the critical temperature of the upper wall brick is 300 ℃, the critical temperature of the lower wall brick is 300 ℃, and the critical temperature of the bottom brick is 200 ℃.
The further improvement lies in that: and in the sixth step and the eighth step, the imaging picture is input into a quasi-projection model and a quasi-stop model, and color Contrast analyzer is used for comparing the color characteristic value.
The invention has the beneficial effects that:
1. according to the invention, the outer wall of the baked steel ladle is subjected to thermal imaging shooting by using an infrared thermal imager, the temperature of each part of the baked steel ladle is captured, the collected thermal imaging photos of the steel ladle are subjected to model construction and color feature extraction corresponding to an upper slag line, a wall brick, a lower slag line and a bottom brick in an actual steel ladle to obtain the minimum temperature of each part, and the minimum temperature is taken as a quasi-casting model.
2. According to the method, the baked steel ladle outer wall is subjected to thermal imaging shooting by using an infrared thermal imager, the temperature of each part of the baked steel ladle is captured, the collected steel ladle thermal imaging photo is subjected to model construction and color feature extraction corresponding to the slag line, the upper wall brick, the lower wall brick and the bottom brick in the actual steel ladle, the highest temperature of each part is obtained and taken as a stop-accurate model, when the method is applied, shooting is carried out in the turnover process of the molten steel ladle, when the highest temperature of a single area of an imaging picture exceeds the critical temperature of the area in the model, the stop-accurate model is taken as the stop-accurate model, the corrosion condition of each part of the steel ladle is conveniently and accurately judged, the problems existing in the traditional steel ladle stop-accurate judgment mode are solved, the safe offline of the steel ladle is ensured, the corrosion resistance material is ensured to be proper, the service life of the resistance material is prolonged, and the cost is optimal.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
Example one
According to the illustration in fig. 1, the embodiment provides a method for applying a ladle quasi-throwing stop model based on imaging data of an infrared thermal imager, which comprises the following steps:
the method comprises the following steps: selection instrument
Selecting an infrared thermal imager as a side-viewing instrument, and performing thermal imaging shooting on the baked outer wall of the steel ladle by using the infrared thermal imager;
step two: control parameter
Controlling the thermal imaging shooting distance to be 8-10m, setting the thermal imaging reflectivity to be 0.95, shooting all areas of the outer wall of the baked ladle and collecting pictures, and obtaining the minimum input temperature of all the areas according to color distribution in thermal imaging;
step three: picture screening
Screening pictures, removing the weight, then removing low-quality image data according to the sharpness of the images to form an image data set, then extracting the color characteristic of each regional picture in the image data set, and determining the color characteristic value of each regional picture, wherein the specific process comprises the following steps: directly converting the RGB image into an HLS image by utilizing ENVI software, extracting color features, solving a second derivative of the spectrum of the image, writing a second derivative operation algorithm in an ENVI IDL, and determining a feature value of each image;
step four: quasi-projection model construction
Carrying out 3D visualization on the screened images by adopting ContextCapture, enhancing a display effect through symbolization, particularly enhancing color characteristics, and then carrying out vectorization on image numerical values by utilizing SVG to form points, lines and surfaces to obtain a quasi-projection model;
step five: region partitioning
Analyzing the quasi-casting model corresponding to an actual ladle tank, distinguishing an upper slag line, a wall brick, a lower slag line and a bottom brick region, inputting a color characteristic value of each region, determining the critical temperature of each region according to the lowest temperature of each region, inputting the critical temperature into the model, and judging the baking condition of each region of the ladle, wherein the critical temperature of the upper slag line is 245 ℃, the critical temperature of the wall brick is 190 ℃, the critical temperature of the lower slag line is 190 ℃ and the critical temperature of the bottom brick is 170 ℃;
step six: quasi-projection model application
And putting the quasi-casting model into application, taking a picture by using an infrared thermal imager within 3 minutes by lifting a ladle baking device before the molten steel ladle casting, inputting the imaging picture into the quasi-casting model, comparing the color characteristic value by using a color Contrast analyzer so as to determine the temperature of each part of the imaging picture, and regarding the imaging picture as quasi-casting when the highest temperature of a single area of the imaging picture exceeds the critical temperature of the area in the quasi-casting model.
Example two
According to the illustration in fig. 1, the embodiment provides a method for applying a ladle quasi-throwing stop model based on imaging data of an infrared thermal imager, which comprises the following steps:
the method comprises the following steps: selection instrument
Selecting an infrared thermal imager as a side-viewing instrument, and performing thermal imaging shooting on the baked outer wall of the steel ladle by using the infrared thermal imager;
step two: control parameter
Controlling the thermal imaging shooting distance to be 8-10m, setting the thermal imaging reflectivity to be 0.95, shooting all areas of the outer wall of the baked ladle and collecting pictures according to the thermal imaging shooting distance, and obtaining the highest temperature of all areas according to color distribution in thermal imaging;
step three: picture screening
Screening pictures, removing the weight, then removing low-quality image data according to the sharpness of the images to form an image data set, then extracting the color characteristic of each regional picture in the image data set, and determining the color characteristic value of each regional picture, wherein the specific process comprises the following steps: directly converting the RGB image into an HLS image by utilizing ENVI software, extracting color features, solving a second derivative of the spectrum of the image, writing a second derivative operation algorithm in an ENVI IDL, and determining a feature value of each image;
step four: quasi-projection model construction
Carrying out 3D visualization on the screened images by adopting ContextCapture, enhancing a display effect through symbolization, particularly enhancing color characteristics, and then carrying out vectorization on image numerical values by utilizing SVG to form points, lines and surfaces to obtain an accurate stop model;
step five: region partitioning
Analyzing the quasi-stop model corresponding to an actual ladle tank, distinguishing slag-out line, upper wall brick, lower wall brick and bottom brick regions, determining the critical temperature of each region according to the highest temperature input by each region, inputting the critical temperature into the model, and judging the corrosion condition of each region of the ladle, wherein the critical temperature of the slag line is 280 ℃, the critical temperature of the upper wall brick is 300 ℃, the critical temperature of the lower wall brick is 300 ℃ and the critical temperature of the bottom brick is 200 ℃;
step eight: quasi-stop model application
The method comprises the steps of putting an accurate stop model into application, taking a picture by using an infrared thermal imager in the turnover process of a molten steel tank, inputting an imaging picture into the accurate stop model, comparing a color characteristic value by using a color Contrast analyzer, and regarding the imaging picture as accurate stop when the highest temperature of a single region of the imaging picture exceeds the critical temperature of the region in the model.
According to the invention, the outer wall of the baked steel ladle is subjected to thermal imaging shooting by using an infrared thermal imager, the temperature of each part of the baked steel ladle is captured, the collected thermal imaging photos of the steel ladle are subjected to model construction and color feature extraction corresponding to an upper slag line, a wall brick, a lower slag line and a bottom brick in an actual steel ladle to obtain the minimum temperature of each part, and the minimum temperature is taken as a quasi-casting model. Meanwhile, the baked steel ladle outer wall is subjected to thermal imaging shooting by using an infrared thermal imager, the temperature of each part of the baked steel ladle is captured, the collected steel ladle thermal imaging photo is subjected to model construction and color feature extraction corresponding to the slag line, the upper wall brick, the lower wall brick and the bottom brick in the actual steel ladle, the highest temperature of each part is obtained and used as a quasi-stop model, when the model is applied, the photo is taken in the turnover process of the molten steel ladle, when the highest temperature of a single area of an image sheet exceeds the critical temperature of the area in the model, the model is regarded as quasi-stop, the corrosion condition of each part of the steel ladle is conveniently and accurately judged, the problem of the traditional steel ladle quasi-stop judging mode is solved, the safe offline of the steel ladle is ensured, the corrosion resistance of materials is ensured to be proper, the service life of the resistant materials is prolonged, and the cost is optimal.
The foregoing shows and describes the general principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, and such changes and modifications are within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The method for applying the steel ladle quasi-throwing and quasi-stopping model based on the imaging data of the infrared thermal imager is characterized by comprising the following steps of:
the method comprises the following steps: selection instrument
Selecting an infrared thermal imager as a side-viewing instrument, and performing thermal imaging shooting on the baked outer wall of the steel ladle by using the infrared thermal imager;
step two: control parameter
Controlling the thermal imaging shooting distance and the thermal imaging reflectivity so as to shoot each area of the outer wall of the baked ladle and collect pictures, and obtaining the minimum temperature of each area according to the color distribution in thermal imaging;
step three: picture screening
Screening the pictures to form an image data set, then extracting the color characteristic of each region picture in the image data set, and determining the color characteristic value of each region picture;
step four: quasi-projection model construction
Adopting ContextCapture to carry out three-dimensional model construction on the image screened in the step three, visualizing the picture in 3D, and enhancing the visualization effect through symbolization to obtain a quasi-projection model;
step five: region division
Analyzing the quasi-casting model corresponding to the actual ladle tank, distinguishing upper slag line, wall brick, lower slag line and bottom brick regions, inputting the color characteristic value of each region, determining the critical temperature of each region according to the lowest temperature of each region, and inputting the critical temperature into the model for judging the baking condition of each region of the ladle;
step six: quasi-projection model application
The method comprises the steps that a quasi-casting model is put into application, an infrared thermal imager is used for shooting when a ladle baking device is lifted before a ladle of a molten steel ladle, then an imaging picture is input into the quasi-casting model to compare color characteristic values, so that the temperature of each part of the imaging picture is determined, and when the highest temperature of a single area of the imaging picture exceeds the critical temperature of the area in the quasi-casting model, the imaging picture is regarded as quasi-casting;
step seven: quasi-parking model construction
Repeating the steps, utilizing an infrared thermal imager to shoot a picture, obtaining the highest temperature input by each area according to color distribution in thermal imaging, then constructing a stop-and-go model, distinguishing a slag line, an upper wall brick, a lower wall brick and a bottom brick area, determining the critical temperature of each area according to the highest temperature input by each area, and inputting the critical temperature into the model for judging the corrosion condition of each area of the ladle;
step eight: quasi-stop model application
And (3) putting the quasi-stop model into application, taking a picture by using an infrared thermal imager in the turnover process of the molten steel tank, inputting an imaging picture into the quasi-stop model to compare with a color characteristic value, and regarding the imaging picture as quasi-stop when the highest temperature of a single region of the imaging picture exceeds the critical temperature of the region in the model.
2. The ladle quasi-throwing quasi-stopping model application method based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the ladle quasi-throwing quasi-stopping model application method comprises the following steps: and in the second step, controlling the thermal imaging shooting distance to be 8-10m, and setting the thermal imaging reflectivity to be 0.95.
3. The ladle quasi-throwing quasi-stopping model application method based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the ladle quasi-throwing quasi-stopping model application method comprises the following steps: in the third step, the specific screening process comprises the following steps: the weight is removed first and then the low quality image data is culled based on image sharpness.
4. The method for applying the steel ladle quasi-throwing quasi-stopping model based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the method comprises the following steps: in the third step, the specific process of determining the color characteristic value is as follows: the method comprises the steps of directly converting an RGB image into an HLS image by utilizing ENVI software, extracting color features, solving a second derivative of a spectrum of the image, writing a second derivative operation algorithm in an ENVI IDL, and determining a feature value of each image.
5. The ladle quasi-throwing quasi-stopping model application method based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the ladle quasi-throwing quasi-stopping model application method comprises the following steps: in the fourth step, the concrete process of model construction is as follows: and carrying out 3D visualization on the screened images by adopting ContextCapture, enhancing a display effect through symbolization, particularly enhancing color characteristics, and then carrying out numerical vectorization on the images by utilizing SVG (scalable vector graphics), forming points, lines and planes to obtain a quasi-projection model.
6. The method for applying the steel ladle quasi-throwing quasi-stopping model based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the method comprises the following steps: in the fifth step, the critical temperature of the upper slag line is 245 ℃, the critical temperature of the wall brick is 190 ℃, the critical temperature of the lower slag line is 190 ℃, and the critical temperature of the bottom brick is 170 ℃.
7. The ladle quasi-throwing quasi-stopping model application method based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the ladle quasi-throwing quasi-stopping model application method comprises the following steps: and in the sixth step, the ladle baking device is lifted for 3 minutes before the ladle of the molten steel ladle, and an infrared thermal imager is used for shooting.
8. The ladle quasi-throwing quasi-stopping model application method based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the ladle quasi-throwing quasi-stopping model application method comprises the following steps: in the seventh step, the critical temperature of the slag line is 280 ℃, the critical temperature of the upper wall brick is 300 ℃, the critical temperature of the lower wall brick is 300 ℃, and the critical temperature of the bottom brick is 200 ℃.
9. The ladle quasi-throwing quasi-stopping model application method based on the imaging data of the infrared thermal imager as claimed in claim 1, wherein the ladle quasi-throwing quasi-stopping model application method comprises the following steps: and in the sixth step and the eighth step, the imaging picture is input into a quasi-projection model and a quasi-stop model, and color Contrast analyzer is used for comparing the color characteristic value.
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| CN116275005A (en) * | 2023-05-19 | 2023-06-23 | 山东光明工模具制造有限公司 | Mold temperature detection method and system |
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| CN108871210A (en) * | 2017-09-28 | 2018-11-23 | 浙江大学 | Ladle flame retardant coating measurement method based on infrared image |
| CN113649422A (en) * | 2021-06-30 | 2021-11-16 | 云南昆钢电子信息科技有限公司 | Hot image-based rough rolling billet quality detection system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108871210A (en) * | 2017-09-28 | 2018-11-23 | 浙江大学 | Ladle flame retardant coating measurement method based on infrared image |
| CN113649422A (en) * | 2021-06-30 | 2021-11-16 | 云南昆钢电子信息科技有限公司 | Hot image-based rough rolling billet quality detection system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116275005A (en) * | 2023-05-19 | 2023-06-23 | 山东光明工模具制造有限公司 | Mold temperature detection method and system |
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