MÉTODO DE MEDIÇÃO DE FORMATO DE OBJETO SEMELHANTE A FAIXA, MÉTODO DE CONTROLE DE FORMATO DE OBJETO SEMELHANTE A FAIXA, MÉTODO DE FABRICAÇÃO DE OBJETO SEMELHANTE A FAIXA, MÉTODO DE GERENCIAMENTO DE QUALIDADE DE OBJETO SEMELHANTE A FAIXA, APARELHO PARA MEDIÇÃO DE FORMATO DE OBJETO SEMELHANTE A FAIXA E EQUIPAMENTO DE FABRICAÇÃO DE OBJETO SEMELHANTE A FAIXA

Abstract

This method for measuring the shape of a belt-like object includes: an imaging step for capturing an image of thermal radiation from the belt-like object such that the angle θ formed by a plane α that is a reference plane of the surface of the belt-like object and the optical axis of a camera does not become 90 degrees and the angle φ between a regular projection to the plane α of the optical axis of the camera and the conveyance direction p of the belt-like object does not become 0 degrees; and an image processing step for calculating an index of the shape of the edge part of the belt-like object by calculating a contour profile of the belt-like object from the obtained image.

Description

1 / 34 “METHOD FOR MEASURING THE SHAPE OF A STRIP-LIKE OBJECT, METHOD FOR CONTROLLING THE SHAPE OF A STRIP-LIKE OBJECT, METHOD FOR MANUFACTURING A STRIP-LIKE OBJECT, METHOD FOR MANAGING THE QUALITY OF A STRIP-LIKE OBJECT, APPARATUS FOR MEASURING THE SHAPE OF A STRIP-LIKE OBJECT AND EQUIPMENT FOR MANUFACTURING A STRIP-LIKE OBJECT” Field

[001] The present invention relates to a method for measuring the shape of a strip-like object, a method for controlling the shape of a strip-like object, a method for manufacturing a strip-like object, a method for managing the quality of a strip-like object, a measuring apparatus for the shape of a strip-like object, and equipment for manufacturing a strip-like object. Background

[002] In the materials industry, the management of material shape similar to striping is important and quantification of product shapes is necessary. For example, measuring the shape of steel materials in a steelmaking process is highly required from the point of view of operational stability, product quality assurance, and the like. In particular, measuring the shape during rolling to produce a product with a target shape is important because it leads to improved product quality and operational stability by initially defining rolling conditions and providing feedback for rolling control during rolling.

[003] For example, in a hot-rolled steel sheet manufacturing line, a semi-finished rectangular parallelepiped-shaped product called a plate in a high-temperature state extracted from a heating furnace is processed into a steel shape through the rolling steps of Petition 870250081029, dated 09 / 09 / 2025, page 61 / 95 2 / 34 dimensioning, rough rolling and finishing rolling and rolled to be a spiral as a product. At this point, depending on the state of rolling, the rolling reduction may become uneven and the steel sheet may partially extend in one width direction, resulting in a shape defect.

[004] For example, as compared with a central portion (central portion in the width direction) of the steel sheet, when only edge portions (end portions in the width direction) are extended, the edge portions will have a wavy shape. On the other hand, when only the central portion is extended, the central portion will have a wavy shape. The above shape defect not only causes a defect as a product, but also deteriorates the sheet's passability in subsequent processes such as pickling and cold rolling, causing a problem. Therefore, it is highly necessary to avoid the shape defect.

[005] To improve the form defect, it is necessary to appropriately adjust a load in the width direction during rolling, however, several disturbances such as rolling cylinder wear, temperature distribution of the steel sheet, and variation in material characteristic distribution make it extremely difficult to obtain optimal rolling conditions by calculation alone. Therefore, to define optimal rolling conditions, it is essential to perform pre-established control by combining a steel sheet form measurement with a rolling model to derive an optimal initial definition, perform real-time feedback control of the rolling conditions, and similar actions. By performing the above controls, the form defect can finally be suppressed.

[006] However, it is difficult to measure the shape of the steel sheet after the steel sheet has been formed into a roll-shaped product. In particular, it is necessary to measure the shape during rolling under feedback control. Therefore, the shape is preferably measured immediately after exiting the finishing roll, which is the final rolling process. For example, when stretching a Petition 870250081029, dated 09 / 09 / 2025, page 62 / 95 3 / 34 of the edge portions is significant in relation to the central portion of the steel sheet; a load balance in the width direction of the rolling cylinder is adjusted to perform a leveling control to eliminate elongation deviation towards one of the edge portions. The shape described in the present invention refers to the elongation of the sheet in a longitudinal direction that is generated locally in the width direction of the steel sheet, mainly at the time of rolling the steel sheet, and specifically includes "elongation in the central portion" and "elongation in the edge portions".

[007] As a technique for measuring the shape of steel sheet immediately after exiting the finishing rolling mill, several techniques such as a method using a rod-like light source or a magnetic sensor have been proposed in the past. As a particularly effective method among the above techniques, for example, Patent Literatures 1 to 3 disclose a method for measuring a shape by irradiating a target surface with a linear or point-like beam of light using a laser and measuring the light reflected from it.

[008] Additionally, Patent Literature 4 discloses a technique of using three line lasers whose longitudinal direction is orthogonal to the transport direction of the steel plate with respect to a laser irradiation system. In the technique disclosed in Patent Literature 4, a line laser is irradiated parallel to the longitudinal direction of the steel plate so as to form three lines at equal intervals, and reflected images of these lines are acquired to compare the respective laser profiles, thereby removing the influence of vertical vibration from the steel plate.

[009] Furthermore, Patent Literature 5 to 7 and Non-Patent Literature 1 disclose a technique for increasing the number of irradiated lines at a lower cost than a laser by irradiating a target surface with a stripe pattern including a plurality of lines using a strong LED light source, thereby stably measuring the independent shape of a mirror surface property. Petition 870250081029, dated 09 / 09 / 2025, page 63 / 95 4 / 34 or target tilt.

[010] A demand for measuring the shape of a steel sheet during manufacturing exists not only in hot-rolled steel sheets, but also in other strip-like materials independent of a heated state (e.g., 600 °C or above), a hot state (e.g., 300 °C to 600 °C), and a cold state (e.g., around normal temperature). The term “strip-like object,” as used in the present invention, refers to a long material. Examples of strip-like objects include products that are formed into a rectangular sheet, plate, board, plank, and slab, such as steel plate, in addition to products that are finally rolled up such as iron, paper, cloth, or non-ferrous metal such as aluminum. List of citations Patent Literature

[011] Patent Literature 1: JP S56-124006 A

[012] Patent Literature 2: JP S55-40924 A

[013] Patent Literature 3: JP S58-11708 A

[014] Patent Literature 4: JP S61-40503 A

[015] Patent Literature 5: JP 2008-58036 A

[016] Patent Literature 6: JP 2011-99821 A

[017] Patent Literature 7: JP 2016-65863 A Non-Patented Literature

[018] Non-Patent Literature 1: Isei and three others, Development of shape meter employing LED dot pattern projection method for hot strip finishing mill, iron and steel, The Iron and Steel Institute of Japan, 2019, Vol. 105, No. 1, p. 20 - 29

[019] Non-Patent Literature 2: Kaneshige, Thermal measurement with radiation thermometer, molding, Japan Society of Polymer Processing, 2020, Vol. 32, No. 4, p. 121 - 124 Petition 870250081029, dated 09 / 09 / 2025, page 64 / 95 5 / 34 Summary Technical problem

[020] The techniques disclosed in Patent Literature 1 to 7 are a method for measuring the shape of an object by irradiating a hot-rolled steel sheet with light using a light source and capturing the reflected light with a camera. However, for example, considering the influence of high temperature due to radiant heat, adhesion of vapor, dust, oil and the like to the steel sheet, an advanced technique is needed to measure stably over a long period of time in a state where the light source and sensor are placed close to the steel sheet during transport. As a result, maintenance costs will also be high.

[021] To avoid this, it is conceivable to place the light source at a distance from the object, but since light is diffuse and the amount of light diminishes, it is difficult to design an optical system that stably condenses light to ensure the amount of light. Furthermore, although there is a possibility of using a magnetic sensor or similar, it is necessary to place the sensor itself close to a measurement target and it is similarly difficult to install the sensor and maintain its performance.

[022] The present invention was made in view of the above and an object of the present invention is to provide a method for measuring the shape of a strip-like object, a method for controlling the shape of a strip-like object, a method for manufacturing a strip-like object, a method for managing the quality of a strip-like object, a measuring apparatus for measuring the shape of a strip-like object and manufacturing equipment for a strip-like object capable of easily and stably operating a light source or sensor on a target that is an edge portion of a strip-like object without bringing the light source or sensor close to the target to be measured and also suppressing maintenance costs. Solution to the problem

[023] (1) Solve the problem and achieve the objective, a measurement method Petition 870250081029, dated 09 / 09 / 2025, page 65 / 95 6 / 34 of the strip-like object shape according to the present invention is the method for measuring the shape of a strip-like object. The strip-like object shape measurement method includes: a capture step of capturing a thermal radiation light image of the strip-like object such that an angle θ formed by a plane α and an optical geometric axis of a camera does not become 90 degrees, the plane α being a reference plane of a surface of the strip-like object and an angle φ formed by orthographic projection of the optical geometric axis of the camera onto the plane α and a transport direction p of the strip-like object does not become 0 degrees; and an image processing step of calculating a shape index of an edge portion of the strip-like object by calculating a contour profile of the strip-like object from the obtained image.

[024] (2) Furthermore, in the strip-like object shape measurement method according to (1) above, the image processing step may include: extracting a region of the strip-like object from the obtained image; and calculating the contour profile of the strip-like object by calculating a position of the edge portion in the extracted region.

[025] (3) Furthermore, in the strip-like object shape measurement method according to (1) or (2) above, the image processing step may include calculating, as the index, any one or more of a slope, a wave height, a wave pitch, an amount of elongation and a percentage of elongation of the edge portion of the strip-like object from the obtained strip-like object contour profile.

[026] (4) Furthermore, in the strip-like object shape measurement method according to any of (1) to (3) above, the image processing step may include calculating a resolution in a wave height direction and a wave pitch direction from a positional relationship between the camera and the object. Petition 870250081029, dated 09 / 09 / 2025, page 66 / 95 7 / 34 similar to the band and convert the resolution to a real dimension.

[027] (5) In addition, a method for controlling the shape of a strip-like object according to the present invention includes: measuring the shape of the strip-like object by the strip-like object shape measurement method according to any of (1) to (4) above and controlling the shape of the strip-like object, based on a measurement result, to have a desired shape.

[028] (6) In addition, a method for manufacturing a strip-like object according to the present invention includes: measuring a shape of the strip-like object by the strip-like object shape measurement method according to any of (1) to (4) above; and manufacturing the strip-like object based on a measurement result.

[029] (7) In addition, a method for managing a quality of a strip-like object according to the present invention includes: measuring a shape of the strip-like object by the strip-like object shape measurement method according to any of claims (1) to (4) above; and managing the quality of the strip-like object based on a measurement result.

[030] (8) In addition, a strip-like object shape measuring apparatus according to the present invention is the apparatus for measuring the shape of a strip-like object. The strip-like object shape measuring apparatus includes: an image capture unit configured to capture a thermal radiation light image of the strip-like object such that an angle θ formed by a plane α and an optical geometric axis of a camera does not become 90 degrees, the plane α being a reference plane of a surface of the strip-like object and an angle φ formed by orthographic projection of the optical geometric axis of the camera onto the plane α and a transport direction p of the strip-like object does not become 0 degrees; and a unit of Petition 870250081029, dated 09 / 09 / 2025, page 67 / 95 8 / 34 Image processing configured to calculate an index of a format of a stripe-like object edge portion when calculating a contour profile of the stripe-like object from the obtained image.

[031] (9) In addition, the strip-like object manufacturing equipment according to the present invention includes the strip-like object shape measuring apparatus according to (8) above. Advantageous Effects of the Invention

[032] According to a method for measuring the shape of a strip-like object, a method for controlling the shape of a strip-like object, a method for manufacturing a strip-like object, a method for managing the quality of a strip-like object, a measuring apparatus for measuring the shape of a strip-like object and equipment for manufacturing a strip-like object according to the present invention, it is possible to easily and stably operate a light source or a sensor without bringing the light source or sensor close to a measurement target. It is also possible to suppress a maintenance cost. Brief Description of the Drawings

[033] Figure 1 is a diagram illustrating a schematic configuration of a measuring apparatus with a band-like object shape according to an embodiment of the present invention.

[034] Figure 2 is a diagram illustrating an example of a positional relationship between a transport direction of a steel plate and a camera in which (a) is a diagram of the positional relationship viewed obliquely, (b) is a diagram of the positional relationship viewed from above and (c) is a diagram of the positional relationship viewed from a direction δη in (b).

[035] Figure 3 is an example of the positional relationship between the transport direction of the steel plate and the camera and is a diagram illustrating a case where an optical geometric axis of the camera is arranged perpendicular to the transport direction. Petition 870250081029, dated 09 / 09 / 2025, page 68 / 95 9 / 34 of the steel plate.

[036] Figure 4 is an example of the positional relationship between the transport direction of the steel plate and the camera and is a diagram illustrating a case in which the optical geometric axis of the camera is arranged obliquely to the transport direction of the steel plate.

[037] Figure 5 is a diagram illustrating an example of a steel sheet image in a normal state and a shape defect state.

[038] Figure 6 is a flowchart illustrating a specific process flow of an image processing step by an image processing unit of a strip-like object shape measuring device according to an embodiment of the present invention.

[039] Figure 7 is a diagram illustrating a binarization process in the image processing step of a strip-like object shape measurement method according to the embodiment of the present invention.

[040] Figure 8 is a diagram illustrating a contour profile calculation process in the image processing step of the strip-like object shape measurement method according to the embodiment of the present invention.

[041] Figure 9 illustrates an example of waviness imaging generated in the steel sheet.

[042] Figure 10 illustrates an example of imaging a fixed wave generated on the steel plate.

[043] Figure 11 is a diagram illustrating an example of a case where it is difficult to distinguish a sheet steel surface from a structure.

[044] Figure 12 is a diagram illustrating an example of a low-pass filter process performed when it is difficult to distinguish between the surface of the steel sheet and the structure in the strip-like object shape measurement method according to the embodiment of the present invention. Petition 870250081029, dated 09 / 09 / 2025, page 69 / 95 10 / 34

[045] Figure 13 is an example of application when the object shape measuring device similar to the strip according to the embodiment of the present invention is applied to shape acceptance determination.

[046] Figure 14 illustrates an example of application when the object-shaped measuring device similar to the strip according to the embodiment of the present invention is applied to lamination feedback control.

[047] Figure 15 illustrates an example of application when the object-shaped measuring device similar to the strip according to the embodiment of the present invention is applied to lamination control using machine learning. Description of the modalities

[048] A method for measuring the shape of a strip-like object, a method for controlling the shape of a strip-like object, a method for manufacturing a strip-like object, a method for managing the quality of a strip-like object, a measuring apparatus for the shape of a strip-like object, and equipment for manufacturing a strip-like object according to an embodiment of the present invention will be described with reference to the drawings. Note that components in the following embodiment include those that can be easily substituted by those skilled in the art or those that are substantially the same. (Format measuring device)

[049] A shape measuring apparatus for strip-like objects according to the embodiment will be described with reference to Figures 1 to 12. The shape measuring apparatus is an apparatus for measuring the shape of a strip-like object. A case where the shape measuring apparatus is applied to hot finish lamination will be described below. Additionally, a case where the strip-like object to be measured is a steel sheet will be described. Petition 870250081029, dated 09 / 09 / 2025, page 70 / 95 11 / 34 below. Additionally, a case where a shape measured by the shape measuring device is an elongation of a portion of the steel sheet edge will be described below.

[050] As illustrated in Figure 1, the format measuring device according to the modality includes a camera 2 and an image processing unit 3. First, the details of camera 2 will be described.

[051] As will be described later, camera 2 is arranged so that an angle θ formed by a “geometric optical axis of camera 2” and a “plane (plane α) that is the reference plane of the strip-like object (steel sheet S)” does not become 90 degrees and also an angle φ formed by the “orthographic projection of the geometric optical axis of camera 2 onto plane α and a transport direction p of the strip-like object (steel sheet S)” does not become 0 degrees (see Figure 2). Using camera 2 arranged in this way, a thermal radiation light image of steel sheet S on a hot finish rolling exit side of steel sheet S rolled by rolling cylinder 1 is captured.

[052] When a digital camera or similar sold to the general public is used as camera 2, problems such as blur or roughness of an image occur and the shape of the steel plate S cannot be captured clearly. Therefore, technical points (1) to (4) for accurately capturing the shape of the steel plate S by camera 2 will be described below. (1) Guarantee of quantity of light during imaging

[053] First, a sufficient amount of light is ensured to obtain a clear image. On the hot finish lamination exit side, the S-steel sheet can pass at a speed of, for example, 20 m / s or more, and thus the speed is very high. To clearly capture a high-speed object without blurring, it is preferable to shorten the exposure time. For example, when imaging is performed with a resolution of about 2 mm at 20 m / s, a Petition 870250081029, dated 09 / 09 / 2025, page 71 / 95 12 / 34 pixel blur in 1 pixel, that is, in 2 mm, a permissible exposure time is only 0.1 ms and the amount of light received proportional to the exposure time is also very small.

[054] Additionally, a steel sheet temperature on the exit side of hot finish rolling is about 900°C. As illustrated in Figure 5 of Non-Patent Literature 2, a peak wavelength of thermal radiation light at about 900°C (1200 K) is 2.5 μm, and sensitivity is low in the visible region (0.4 to 0.7 μm). Therefore, it is preferable to use a camera including an imaging element such as InGaAs, PbS, or PbSe, such as camera 2.

[055] On the other hand, a camera using an imaging element such as InGaAs, PbS, or PbSe is expensive. Additionally, the price becomes higher according to the resolution. Thus, to capture a high-resolution image, the cost of introduction increases. Therefore, like camera 2, it is preferable to use a camera including an inexpensive Si imaging element capable of using a near-infrared sensitivity region of 0.8 to 1.0 μm. By using such a camera 2, it is possible to obtain a sufficient amount of thermal radiation light at low cost.

[056] Note that when the present method is applied to an object at a lower temperature, it is preferable to use camera 2 including an imaging element having sensitivity on the longer wavelength side. For example, when a measurement target is about 400°C, camera 2 including an InGaAs imaging element having sensitivity to 1.2 to 1.7 μm can be used without considering the cost of introduction. Furthermore, when the measurement target is about 200°C, camera 2 including a PbS or PbSe imaging element having sensitivity to 3 to 5 μm can be used. In this way, a sufficient amount of light can be ensured. Thus, it is preferable to select camera 2 including the imaging element having sensitivity to a suitable wavelength range according to the transport speed, a Petition 870250081029, dated 09 / 09 / 2025, page 72 / 95 13 / 34 resolution, temperature, a depth of field to be described later, and similar to the measurement target. (2) Positional relationship between steel plate and camera

[057] Secondly, to clearly image the shape of the steel plate S, a positional relationship between the steel plate S to be measured and camera 2 is examined. Here, the focus is considered on the edge housing of the steel plate S and a change in edge shape is captured as a contour of the steel plate S. Figure 2 illustrates an example of a positional relationship between the transport direction p of the steel plate S and camera 2. In Figure 2, (a) is a diagram of the positional relationship viewed obliquely, (b) is a diagram of the positional relationship viewed from above, and (c) is a diagram of the positional relationship viewed from a direction δn in (b). Here, the direction δn is a direction in which the optical geometric axis of camera 2 can be seen right beside it. By defining the direction δn in this way, a magnitude of the light receiving angle θ, to be described later, can be seen precisely.

[058] In (a), (b), and (c) of Figure 2, plane α is parallel to a transport table of steel plate S, and plane β includes the transport direction p of steel plate S and a normal line n of the transport table. Additionally, an angle θ (light receiving angle θ) is formed by the optical geometric axis of camera 2 and plane α, and an angle φ is formed by orthographic projection of the optical geometric axis of camera 2 onto plane α and the transport direction p. Plane α includes a strip-like object surface (steel plate S) in a state where the strip-like object (steel plate S) is stably transported in a substantially flattened shape. Therefore, plane α is also called the reference plane of a strip-like object surface (steel plate S).

[059] Furthermore, a direction of the normal line n of the transport table is equal to the normal direction of the surface of the steel plate S in a state Petition 870250081029, dated 09 / 09 / 2025, page 73 / 95 14 / 34 where the transported steel plate S is stably transported in a substantially flattened shape. Therefore, plane α includes the transport direction p of the strip-like object (steel plate S) and is perpendicular to the normal direction of the strip-like object's surface (steel plate S). Furthermore, plane β is also a plane including the transport direction p of the strip-like object (steel plate S) and the normal direction of the strip-like object's surface (steel plate S). Additionally, in Figure 2, a point 0 is an intersection of plane α and the optical geometric axis. Furthermore, a plane γ is a plane perpendicular to the transport direction of the steel plate. In other words, when the angle described above φ approaches 90 degrees, plane γ and the optical geometric axis approach parallel.

[060] In Figure 2, when a resolution of camera 2 at a position of the steel plate S to be measured is r (mm / pixel), a resolution rn (mm / pixel) in a wave height direction and a resolution rp (mm / pixel) in a wave pitch direction can be expressed by formulas (1) and (2) below. Note that the smaller the numerical value, the higher the resolution. rn = r / cosθ (1) rp = r / sinφ (2)

[061] When the light receiving angle θ is close to 90 degrees, that is, when imaging is performed in a state where the optical geometric axis of camera 2 is close to perpendicular to the plane α parallel to the transport table of the steel plate S, the resolution m in the wavelength direction decreases and it becomes difficult to capture a change in the contour of the edge portion. Therefore, the light receiving angle θ is preferably as close as possible to 0 degrees. Similarly, when the angle φ is close to 0 degrees, that is, when imaging is performed in a state where the optical geometric axis of camera 2 is close to parallel to the transport direction p of the steel plate S, the resolution rp in the direction of Petition 870250081029, dated 09 / 09 / 2025, page 74 / 95 15 / 34 wavelength decreases. Therefore, the angle φ is preferably as close as possible to 90 degrees. In particular, since the wavelength to be measured is very small compared to the wavelength, it is more preferable to image the steel plate S at a low angle by reducing the light receiving angle θ as much as possible to accurately capture the wavelength.

[062] Furthermore, as illustrated in Figure 2, when imaging the steel plate S while viewing the steel plate S at a low angle relative to the light-receiving angle θ, the distance between the two ends of the steel plate S in the image is reduced, and an image of both edge portions can be acquired in a smaller field of view. Additionally, the smaller the target field of view, the smaller the image size, and this is advantageous when high transport speeds of the steel plate S to be measured require high-speed imaging or image processing.

[063] In hot-rolled steel sheet, since the wave pitch is large enough compared to the wave height, the resolution rp in the wave pitch direction can be made smaller than the resolution rn in the wave height direction. Therefore, for example, as illustrated in Figure 3, it is preferable to set the angle φ at 90 degrees, that is, to position camera 2 perpendicular to the transport direction of the steel sheet S and look from a side direction. However, when the angle φ is not extremely small, for example, as illustrated in Figure 4, camera 2 can be positioned obliquely with respect to the transport direction of the steel sheet S. (3) Distance between the steel plate and the camera

[064] Thirdly, the distance between the steel plate S to be measured and camera 2 is increased. This is because, by separating camera 2 from the production line as much as possible, camera 2 can be installed in a favorable environment and a difference in optical conditions such as the receiving angle of Petition 870250081029, dated 09 / 09 / 2025, pp. 75 / 95 16 / 34 light θ and the angle φ in the width direction of the sheet, that is, in both edge portions, of the steel sheet S, can be reduced. When there is a difference in optical conditions in the width direction of the steel sheet S, this difference appears as a difference in appearance. As a result, a shape defect level can be misjudged when the determination is made visually. A greater correction is needed when the shape defect level is quantified by image processing. To increase the distance, it is preferable to use a telephoto lens for imaging. When using the telephoto lens, a difference in optical conditions can be reduced. (4) Defining the appropriate diaphragm value

[065] Fourthly, to ensure depth of field, a diaphragm value for camera 2 is appropriately determined. For example, it is assumed that the entire surface of the steel plate S is imaged through both edge portions on the front side (bottom side) and on the back side (top side) of the steel plate S. In this case, when a sheet width of the steel plate S is d (mm), a difference ΔL (mm) between a distance from camera 2 to the edge portion on the front side and a distance from camera 2 to the edge portion on the back side can be expressed by Formula (3) below. ΔI = dcosθ / sinφ (3)

[066] To acquire an image in which both edge portions of the steel plate S are in focus, at least the depth of field (strip in focus) needs to be ΔLd (mm) or more. Since the depth of field increases when the aperture value increases, it is preferable to set the aperture at ΔLd (mm) or more. However, when the aperture value increases, a quantity of light becomes insufficient, and there is a concern that blurring may occur. Therefore, it is preferable to determine the aperture value and a focal length that can balance blurring and depth of field according to the shutter speed. Petition 870250081029, dated 09 / 09 / 2025, page 76 / 95 17 / 34 transport of the steel plate S to be measured and the required resolution. Next, image processing unit 3 will be described.

[067] Image processing unit 3 is implemented, for example, by a general-purpose computer such as a workstation or a personal computer. Image processing unit 3 can be installed close to camera 2 or can be installed in a cloud if high speed is not required.

[068] As described later, image processing unit 3 calculates a contour profile of steel plate S from an image captured and obtained by camera 2, thereby calculating an edge shape index of steel plate S. Furthermore, as described later, image processing unit 3 extracts a region of steel plate S from the image (step S1 in Figure 6) and calculates the contour profile of the strip-like object of steel plate S by calculating a position of the edge portion in the extracted region (step S4 in Figure 6). Furthermore, as described later, image processing unit 3 appropriately selects any one or more of the inclination, wave height, wave pitch, elongation amount, and elongation percentage of the edge portion of steel plate S from the contour profile of steel plate S and calculates the index thereof.Next, a process for calculating the edge shape index of steel sheet S from the image obtained by camera 2 using image processing unit 3 will be described.

[069] An image of steel plate S in a normal state is illustrated in (a) of Figure 5 and an image of steel plate S when a shape defect occurs due to plate elongation is illustrated in (b) of Figure 5. As illustrated in Figure 5, a plate elongation state (particularly, elongation of the edge portion of the strip-like object) can be visually determined. Image processing unit 3 calculates the edge portion index of steel plate S from the image of steel plate S acquired, for example, by a Petition 870250081029, dated 09 / 09 / 2025, page 77 / 95 18 / 34 procedure illustrated in figure 6. In the following description, with respect to a vertical geometric axis and a horizontal geometric axis in the image, a geometric axis closer to and parallel with the transport direction of the steel plate S is defined as the horizontal geometric axis for convenience of explanation.

[070] First, as illustrated in Figure 7, only a region of sheet metal from steel sheet S is extracted by binarization (step S1 in Figure 6). An image before binarization is illustrated in (a) in Figure 7 and an image after binarization is illustrated in (b) in Figure 7.

[071] At this point, there may be a case where a disturbance occurs, such as a local decrease in luminance on the sheet surface due to water on the sheet surface, cooling water droplets or similar, or glare due to thermal radiation light scattered from the steel sheet S caused by droplets splashed in a space above the sheet. Since these disturbances are often in a high frequency range and weaken with respect to a step of the shape to be calculated, it is desirable to remove connected / isolated points by expansion / contraction processing, a median filter or similar (step S2 in Figure 6) in the extracted sheet region in a binarization step.

[072] Furthermore, there is a case where a plurality of blobs (pieces recognized by the connection of surrounding pixels when binarized) that will be candidates for the sheet region, is generated after removing a connection / isolated point. In this case, the sheet region can be determined by extracting a blob (step S3 in figure 6) or determining the sheet region based on a size, direction and similar of the steel sheet S.

[073] Subsequently, contour profiles of both edge portions are calculated from the sheet region of the steel sheet S obtained as described above (step S4 in Figure 6). Several methods can be considered as a Petition 870250081029, dated 09 / 09 / 2025, page 78 / 95 19 / 34 method of calculating the edge portion contour profile. As an example, a method of extracting the edge portion contour by searching is illustrated in Figure 8. A state in which the edge portion contour is searched is illustrated in (a) in Figure 8 and the extracted edge portion contour is illustrated in (b) in Figure 8.

[074] As illustrated in (a) in Figure 8, the search can be performed from outside the plate region towards the plate region in the image and coordinates reaching the plate region can be recorded. Conversely, the search can be performed from inside the plate region to outside the plate region. In the present embodiment, the contour profiles of an upper edge portion and a lower edge portion are calculated as one-dimensional vectors when searching the contour in a vertical direction at each point on the horizontal geometric axis in the image.

[075] Here, since the image obtained in a capture step is captured obliquely with respect to the transport direction of the steel plate S, the resolution is different between the wave height direction and the wave pitch direction. Therefore, the contour profile resolution on the obtained image is run separately in the wave height direction and in the wave pitch direction (step S5 in Figure 6).

[076] Specifically, in step S5, an inclination of the optical geometric axis of camera 2 is first corrected by rotation so that the longitudinal direction of the steel plate S coincides with the horizontal geometric axis. Since the resolution in the wave height direction, i.e., vertical geometric axis, is rn (mm / pixel) and the resolution in the wave pitch direction, i.e., horizontal geometric axis, is rp (mm / pixel), the resolutions can be converted into the contour profile of the steel plate S.

[077] Additionally, since the distance from camera 2 is different between the edge portion on the right side and the edge portion on the back side, Petition 870250081029, dated 09 / 09 / 2025, page 79 / 95 20 / 34 in reality the resolution changes. Therefore, the resolution can be calculated and corrected separately, depending on the distance from camera 2, the position of the edge portion on the front side and the position of the edge portion on the back side. In other words, the resolutions in the wave height direction and in the wave pitch direction can be calculated from the positional relationship between camera 2 and the steel plate S and can be converted into real dimensions.

[078] Furthermore, the contour profile of the steel plate S can be calculated by performing a coordinate transformation using an attitude parameter of camera 2 and obtaining orthographic projection onto the plane β (see Figure 2) without performing the process described above on the contour profile of the obtained edge portion. As a result, rigorous geometric correction can be performed on the entire field of view of camera 2.

[079] Furthermore, since the wave pitch and the elongation period of the steel sheet S are substantially determined, noise that does not contribute to the shape can be removed from the contour profile of the edge portion by applying a low-pass filter or a band-pass filter to remove frequency components other than the wave pitch and period.

[080] Subsequently, the edge shape index is calculated from the contour profile of the edge portion of the steel plate S obtained as described above (step S6 in Figure 6). The edge shape index often involves a parameter called slope which is a ratio between the wave height and the wave pitch. However, one or more may be appropriately selected from the wave height, wave pitch, amount of elongation, percentage of elongation and the like and used as the index. Several methods of calculating the edge shape index of the steel plate S are applicable and representative methods (i) to (iii) are listed below. (i) A maximum point and a minimum point are calculated and a distance in Petition 870250081029, dated 09 / 09 / 2025, pages 80 / 95 21 / 34 The longitudinal direction of the image is defined as the wave height, and a distance in the lateral direction is defined as the wave pitch. The slope is calculated as a ratio between the wave height and the wave pitch. (ii) A sine curve is fitted to calculate the wave height and wave pitch from an amplitude and a period. The slope is calculated as the ratio between the wave height and the wave pitch. (iii) The amount of elongation and the percentage of elongation of sheet elongation are calculated from a contour length and the slope is calculated directly by the method disclosed in Non-Patent Literature 2.

[081] Using the steel sheet edge format index S obtained in this way, it is possible to perform parameter control and feedback control at the time of rolling and additionally perform format acceptance determination of a rolled sheet format. Note that not only is the format index calculated from the steel sheet contour profile S, but also the wave height, wave period, slope, amount of elongation, percentage of elongation and the like can be calculated from the contour profile in the image, for example, and then corrected using the rn (mm / pixel) resolution in the wave height direction and the rp (mm / pixel) resolution in the wave pitch direction.

[082] Additionally, as a behavior during transport of the steel plate S, there is a case where another curve is detected even when plate elongation (particularly, elongation of the edge portion of the strip-like object) does not occur. For example, there is a phenomenon where the steel plate S rises instantaneously and generates a large wave (called ripple) and a phenomenon where the steel plate S is transported continuously without any change in the wave shape in the visual field (called fixed wave). Since these phenomena are different from plate elongation, it is preferable to exclude them. Petition 870250081029, dated 09 / 09 / 2025, pp. 81 / 95 22 / 34 phenomena from a detection result. Therefore, a method of distinguishing sheet elongation from ripple and fixed wave will be described below.

[083] Ripple is a phenomenon that occurs when the transport speed of the steel plate S is accelerated during transport and is a phenomenon where the plate, having nowhere to go, sways upwards and generates a large wave when a speed on the downstream side becomes higher than a speed on the upstream side at a certain point on the plate between the upstream and downstream sides. Since this phenomenon occurs even when the edge shape of the plate is flattened and plate elongation does not occur, it is necessary to distinguish this phenomenon from the shape caused by plate elongation.

[084] The characteristics of ripple include that the wave pitch is very large, the wave height suddenly becomes very large, and the wave pitch and wave height suddenly become large compared to preceding and following waves. Therefore, in a method that directly calculates the wave pitch and wave height, ripple, not sheet elongation, can be determined when the wave pitch and wave height suddenly increase. Then, a process such as data masking is performed on a period determined as the ripple, or filling with preceding and subsequent data. As a result, ripple can be excluded from the sheet elongation detection result, and the influence of ripple on a measurement result can be reduced.

[085] Furthermore, even when an index in which the wave height and wave pitch are not directly calculated, such as a case where the amount of sheet elongation is calculated from the contour of the steel sheet S, the waviness can be distinguished using the waviness characteristics. For example, without using the entire visual field in the image, as illustrated in Figure 9, a contour position of a point in the longitudinal direction of the steel sheet S in the field Petition 870250081029, dated 09 / 09 / 2025, pages 82 / 95 23 / 34 visual can be monitored, and when the fluctuation of the contour position is extremely large, it can be determined as undulation.

[086] A method for determining waviness using contour position fluctuation will be described with reference to Figure 9. Examples of waviness imaging of steel plate S are illustrated in (a) to (e) of Figure 9. In Figure 9, (a), (b), (c), (d) and (e) are arranged in chronological order. Specifically, waviness can be determined according to the following procedures (1) to (3). (1) A position Xt in an image width direction is determined. (2) A lower contour position Yt of each image is calculated with respect to a position Xt in the image width direction determined in (1). The lower contour position Yt is a contour position on the lower side from the center in an image width direction. (3) Fluctuation of the calculated lower boundary position Yt is monitored and a position with large fluctuation is detected.

[087] A schematic diagram in which the lower contour positions Yt are plotted in chronological order is illustrated in (f) in a lower part of Figure 9. The presence of ripple can be determined using this schematic diagram. Furthermore, as a method for determining ripple, the number of maximum values ​​and the number of minimum values ​​in a certain section can be monitored with respect to the transition of the lower contour position Yt and the presence of ripple can be determined when the number of maximum values ​​and the number of minimum values ​​are suddenly decreased.

[088] In the example in Figure 9, the presence of waviness is determined using the lower contour position Yt, but the presence of waviness can also be determined using an upper contour position. There is also a possibility that waviness occurs independently on both edges of the steel plate S. Therefore, it is preferable to monitor both upper contour positions. Petition 870250081029, dated 09 / 09 / 2025, pages 83 / 95 24 / 34 as the lower contour position to determine the presence of waviness.

[089] Next, a method for determining a fixed wave will be described. A fixed wave is a phenomenon in which the steel plate S is transported continuously while the waveform remains unchanged. In the visual field of camera 2, the position and shape of the contour of the steel plate S do not change for a certain period of time during observation. This is a phenomenon in which the plate velocity in front of the transport line is constantly reduced, similarly to rippling, and an excess steel plate S is curved upwards, generating a constantly curved contour. Similar to rippling, the fixed wave occurs even when plate elongation does not occur, and thus it is necessary to distinguish the fixed wave from the shape caused by plate elongation.

[090] Since a constant contour (unchanged contour) literally occurs in one time direction in the fixed wave, it is possible to detect the fixed wave by comparing the contour shapes before and after a certain time has passed and calculating an amount of change in them. For example, a difference in absolute value is obtained between contour profiles, and when the sum or sum of squares is less than a threshold, it is determined to be the fixed wave. Then, a process such as data masking is performed over a period determined as the fixed wave, or filling with preceding and subsequent data. As a result, the fixed wave can be excluded from a sheet elongation detection result, and the influence of the fixed wave on the measurement result can be reduced.

[091] Furthermore, similarly to ripple, even when the entire visual field in the image is not used, for example, as illustrated in Figure 10, the contour position of a point in the longitudinal direction of the steel plate S in the visual field can be monitored and can be determined as the fixed wave when the contour position does not fluctuate extremely.

[092] A method for determining the fixed wave using the fluctuation of the position Petition 870250081029, dated 09 / 09 / 2025, pages 84 / 95 25 / 34 contour will be described with reference to Figure 10. Imaging examples of the fixed wave of the S steel plate are illustrated in (a) to (e) in Figure 10. In Figure 10, (a), (b), (c), (d) and (e) are arranged in chronological order. Specifically, the fixed wave can be determined according to the following procedures (1) to (3). (1) A position X2t in the image width direction is determined. (2) A top contour position Y2t in each image is calculated with respect to a position X2t in the image width direction determined in (1). The top contour position Y2t is a contour position on the top side from the center in the image width direction. (3) Fluctuation of the calculated upper boundary position Y2t is monitored and a portion where there is almost no fluctuation is detected.

[093] A schematic diagram in which the upper contour positions Yt2 are plotted in chronological order is illustrated in (f) in a lower part of Figure 10. The presence of the fixed wave can be determined using this schematic diagram. Additionally, as a method of determining the fixed wave, a standard deviation in a certain section can be monitored for the transition of the upper contour position Y2t, and a portion where the standard deviation falls below a threshold can be determined as the fixed wave. Furthermore, a difference between the maximum and minimum values ​​in a certain section can be monitored, and a portion below the threshold can be determined as the fixed wave.

[094] In the example in Figure 10, the presence of the fixed wave is determined using the upper boundary position Y2t, but the presence of the fixed wave can be determined using the lower boundary position. Furthermore, the fixed wave can be generated independently at both edges. Therefore, it is preferable to monitor both the upper boundary position and the lower boundary position to determine the presence of the fixed wave.

[095] On the other hand, even in a flattened state without any waves Petition 870250081029, dated 09 / 09 / 2025, pages 85 / 95 26 / 34 generated in the S-shaped steel plate format, the contour shape before and after a certain period of time does not change. This state is not a fixed wave, and the S-shaped steel plate and plate passage state are good. A fixed wave is a type of plate passage failure due to plate obstruction, and when the degree of obstruction is severe, the fixed wave comes into contact with the equipment, causing a problem. Therefore, it is preferable that the fixed wave can be automatically detected.

[096] Thus, it is also possible to determine whether or not the fixed wave is generated by adding information about sheet elongation occurrence for evaluation using the amount of contour shape change. For example, even when the amount of contour shape change is large, it is possible to use a method in which the fixed wave is not determined when the sheet elongation index is less than or equal to the threshold, and the fixed wave is determined only when the index is greater than or equal to the threshold. Furthermore, to make the determination, one can use a method of designing an evaluation function and determining the fixed wave based on a threshold value, or correct response data are prepared by visually determining the fixed wave, and a determination device that determines the fixed wave using machine learning can be created.

[097] In binarization in Step S1, the brightness of the thermal radiation light varies depending on the temperature of the measurement target. Therefore, when binarization is performed with a fixed value, there is a problem that part of the background is detected as the sheet region when the steel sheet S is light, and conversely, the background cannot be detected when the steel sheet S is dark.

[098] For the problem above, it is desirable to perform luminance correction. Examples of a luminance correction method include a method for multiplying the luminance of the entire image by a fixed value so that a representative value such as a maximum value, an average value, a median value, or a Petition 870250081029, dated 09 / 09 / 2025, pages 86 / 95 The 27th / 34th percentile of the entire image luminance becomes a target value. Additionally, current dark correction can be performed before multiplication.

[099] Furthermore, for example, as illustrated in Figure 11, it can be difficult to distinguish a structure from the sheet surface when a structure such as a transfer roller or a table is irradiated with thermal radiation light emitted from the steel sheet S and the structure is clearly imaged in an image. In this case, in the image, the sheet surface is bright because the sheet surface directly receives the thermal radiation light, but the structure is often darker than the sheet surface because the structure receives reflection of the thermal radiation light emitted from the sheet surface.

[0100] Therefore, a binarization threshold that can separate the structure and the sheet when performing the luminance correction described above can be determined as a fixed value, however it is possible to detect a valley portion more stably by automatically detecting the valley portion from a shape of a histogram of the entire image. To detect the valley portion, for example, as illustrated in Figure 12, it is possible to stably calculate the minimum value by differential processing, search processing or similar by applying a low-pass filter to the luminance histogram itself. An example of the luminance histogram is illustrated in (a) of Figure 12 and (a) is a graph in which luminance is plotted on the horizontal geometric axis and the number of pixels N is plotted on the vertical geometric axis. An example in which the low-pass filter is applied to a luminance direction of the luminance histogram is illustrated in (b) in Figure 12.Note that, in the histogram, the valley portion includes two portions, which are a boundary between the plate surface and the structure and a boundary between the structure and the bottom. Therefore, it is preferable to select the larger of the two valley portions. A position separated by a dashed line in (b) in Figure 12 corresponds to the binarization threshold. Petition 870250081029, dated 09 / 09 / 2025, pages 87 / 95 28 / 34

[0101] Furthermore, in the present embodiment, an example of processing the image from camera 2 by the image processing unit 3 to calculate the edge format index of the steel sheet S has been described. However, a camera image can simply be presented to an operator to provide feedback for lamination control.

[0102] Furthermore, the edge shape index of steel plate S can be estimated from the image using a machine learning-based discriminator. Specifically, firstly, training data is created by associating the image of steel plate S obtained with the edge shape index measured visually or by some other method as a correct answer. Then, using the created training data and the machine learning method, the discriminator that receives an image as an input to transmit the edge shape index is generated. Using this discriminator, the edge shape index of the steel plate S to be measured is calculated. In addition to the image, input data for machine learning and the discriminator can be a feature quantity calculated from the image.Furthermore, the machine learning method is not limited, and a convolutional neural network or similar can be used as long as real-time processing is not required. (Example of an application for determining format acceptance)

[0103] An example in which the object shape measuring device similar to the range according to the modality is applied for shape acceptance determination will be described with reference to Figure 13. The acceptance determination system in Figure 13 includes camera 2, image processing unit 3 and an acceptance determination unit 6.

[0104] First, image processing unit 3 calculates the edge format index (format data) of steel plate S from an image captured by camera 2 and transmits the edge format index to the Petition 870250081029, dated 09 / 09 / 2025, pages 88 / 95 29 / 34 Acceptance Determination Unit 6. The Acceptance Determination Unit 6 determines acceptance or rejection of the form based on sheet metal information (e.g., sheet thickness, sheet width, steel type, and temperature) acquired from a host system and the sheet metal edge form index S. An acceptance determination result is transmitted to the host system. Based on the acceptance determination result, the host system determines whether correction is necessary, whether to cut the defective portion of the form, whether to perform rolling in the next process, and similar actions. As described above, using the sheet metal edge form index S for action in the next process makes it possible to suppress problems and contribute to improving product quality. (Example application for lamination feedback control)

[0105] An example in which the modality-matched object shape measuring device is applied for lamination feedback control will be described with reference to Figure 14. A lamination control system in Figure 14 includes camera 2, image processing unit 3, and a lamination control unit 7.

[0106] First, the image processing unit 3 calculates the edge shape index of the steel sheet S from an image captured by camera 2 and transmits the edge shape index to the rolling control unit 7. The rolling control unit 7 calculates a control parameter using the edge shape index based on steel sheet information (e.g., sheet thickness, sheet width, steel type, and temperature) acquired from the host system, other measurement data such as sheet passage position, and the edge shape index of the steel sheet S. The rolling control unit 7 transmits a control signal to the rolling cylinder 1 to perform feedback control such as leveling. By performing the above feedback control, the product shape can be stabilized and the defect itself Petition 870250081029, dated 09 / 09 / 2025, pages 89 / 95 30 / 34 format can be reduced. (Example application for lamination control using machine learning)

[0107] An example in which the modality-like object shape measuring device is applied to lamination control using machine learning will be described with reference to Figure 15. A lamination control system in Figure 15 includes camera 2, image processing unit 3, lamination control unit 7, a data server 8, a machine learning unit 9, and a control parameter estimation unit 10.

[0108] First, the image processing unit 3 calculates the steel sheet shape index S from an image captured by camera 2 and transmits the edge shape index to the data server 8. The data server 8 accumulates the edge shape index associated with steel sheet information (e.g., sheet thickness, sheet width, steel type, and temperature) acquired from the host system and a control parameter at the time of rolling.

[0109] The accumulated data is transmitted to machine learning unit 9. In machine learning unit 9, a model to estimate a control parameter for rolling while suppressing a shape defect is built by machine learning. An estimation model is transmitted to control parameter estimation unit 10 and estimates the control parameter based on sheet steel information acquired from the host system. The control parameter is transmitted to rolling control unit 7. Rolling control unit 7 executes predefined control such as leveling when transmitting a control signal to rolling cylinder 1. By executing the above predefined control, the product shape can be stabilized. Petition 870250081029, dated 09 / 09 / 2025, pages 90 / 95 31 / 34 and the formatting defect itself can be reduced.

[0110] Note that, in the present application example, the control parameter in the predefined control was described. However, machine learning can also be similarly applied to calculate a control parameter for the feedback control. Furthermore, by combining the predefined control and the feedback control, the product's format quality can be further improved.

[0111] Additionally, in addition to the above application examples, the measuring apparatus for the shape of a strip-like object according to the embodiment may be supplied as part of the equipment for manufacturing a strip-like object.

[0112] Furthermore, the method for measuring the shape of a strip-like object according to the embodiment is also applicable to a method for controlling the shape of a strip-like object. In this case, the shape of the strip-like object is measured by the method for measuring the shape of a strip-like object described above, and the shape of the strip-like object is controlled to have a desired shape based on the measurement result.

[0113] Furthermore, the method for measuring the shape of a strip-like object according to the embodiment is also applicable to a method for manufacturing a strip-like object. In this case, the shape of the strip-like object is measured by the method for measuring the shape of a strip-like object described above, and the strip-like object is manufactured based on the measurement result.

[0114] Furthermore, the method for measuring the shape of a strip-like object according to the modality is also applicable to a method for managing the quality of a strip-like object. In this case, the shape of the strip-like object is measured by the shape measurement method. Petition 870250081029, dated 09 / 09 / 2025, pp. 91 / 95 32 / 34 similar to the range described above and a quality of the object similar to the range is managed based on the measurement result.

[0115] The method for measuring the shape of a strip-like object, the method for controlling the shape of a strip-like object, the method for manufacturing a strip-like object, the method for managing the quality of a strip-like object, the measuring apparatus for the shape of a strip-like object, and the manufacturing equipment for a strip-like object according to the embodiment described above have the following effects.

[0116] Firstly, by passively imaging the thermal radiation light from the steel plate S to be measured, the imaging can be performed from a good, distant installation environment, without installing a light source or sensor around the steel plate S passing through, and the edge shape of the steel plate S can be clearly captured.

[0117] Additionally, by selecting an imaging element suitable for the target object temperature, such as the imaging element of camera 2, thermal radiation light can be efficiently received. For example, for a measurement target at approximately 900°C, sensitivity can be increased by using the near-infrared component of the Si imaging element. In this way, even for the S steel plate transported at high speed, a clear, blur-free image can be captured by shortening the exposure time.

[0118] Furthermore, by performing imaging in such a way that the angle θ formed by the plane α, which is the reference plane of the strip-like object surface (steel plate S), and the optical geometric axis of camera 2 does not become 90 degrees, and also the angle φ formed by the orthographic projection of the optical geometric axis of camera 2 onto the plane α and the transport direction p of the strip-like object (steel plate S) does not become 0 degrees, it is possible to clearly capture the contours of both edge portions of the steel plate S. Therefore Petition 870250081029, dated 09 / 09 / 2025, pages 92 / 95 In this way, the edge format index can be quantitatively calculated to clearly capture the elongation of the sheet. Additionally, a greater effect can be obtained by imaging the strip-like object (steel sheet S) from the width direction (i.e., the direction in which the angle φ is close to 90 degrees). Alternatively, a greater effect can be obtained by imaging at a low angle (i.e., the direction in which the angle θ is close to 0 degrees). Obviously, an even greater effect can be obtained by imaging from a direction in which the angle φ is close to 90 degrees and also from a direction in which the angle θ is close to 0 degrees.

[0119] In the present invention, the steel plate S on the exit side of the finishing rolling stage in the hot rolling process has been described. However, it is obvious that the present invention is also applicable to other rectangular-like steel materials at high temperatures, such as steel plates and slabs. Furthermore, it is obvious that the present invention is applicable not only to strip-like objects in a steel process, but also to various strip-like objects of different materials, provided that thermal radiation light from the measurement target can be obtained. Additionally, the present invention is preferably applied to shape measurement, elongation on the edge portion of the strip-like object, in order to obtain a greater effect.

[0120] The method for measuring the shape of a strip-like object, the method for controlling the shape of a strip-like object, the method for manufacturing a strip-like object, the method for managing the quality of a strip-like object, the apparatus for measuring the shape of a strip-like object, and the equipment for manufacturing a strip-like object according to the present invention have been specifically described above with reference to embodiments and examples for carrying out the invention. However, the essence of the present invention is not limited to these descriptions and is broadly interpreted based on the description of the claims. It is obvious that various alterations and modifications based on the Petition 870250081029, dated 09 / 09 / 2025, pages 93 / 95 34 / 34 descriptions are also included in the essence of the present invention. List of reference signs ROLLING CYLINDER CAMERA Image Processing Unit UNIT FOR DETERMINING ACCEPTANCE LAMINATION CONTROL UNIT DATA SERVER MACHINE LEARNING UNIT Control Parameter Estimation Unit STEEL PLATE Petition 870250081029, dated 09 / 09 / 2025, pages 94 / 95

Claims

1 / 3 CLAIMS 1. Method for measuring the shape of a strip-like object to measure the shape of a strip-like object, the method for measuring the shape of a strip-like object CHARACTERIZED in that it comprises: a capture step of capturing a thermal radiation light image of the strip-like object such that an angle θ formed by a plane α and an optical geometric axis of a camera does not become 90 degrees, the plane α being a reference plane of a surface of the strip-like object, and an angle φ formed by orthographic projection of the optical geometric axis of the camera onto the plane α and a transport direction p of the strip-like object does not become 0 degrees; and an image processing step of calculating a shape index of an edge portion of the strip-like object by calculating a contour profile of the strip-like object from the obtained image.

2. Method for measuring the shape of a strip-like object, according to claim 1, CHARACTERIZED in that the image processing step includes: extracting a region of the strip-like object from the obtained image; and calculating the contour profile of the strip-like object by calculating a position of the edge portion in the extracted region.

3. Method for measuring the shape of a stripe-like object, according to claim 1 or 2, CHARACTERIZED in that the image processing step includes calculating, as an index, any one or more of a slope, a wave height, a wave pitch, an amount of elongation, and a percentage of elongation of the edge portion of the stripe-like object from the obtained contour profile of the stripe-like object. Petition 870250081029, dated 09 / 09 / 2025, p. 44 / 95 2 / 3 4. A method for measuring the shape of a strip-like object, according to any one of claims 1 to 3, CHARACTERIZED in that the image processing step includes calculating a resolution in a wave height direction and a wave pitch direction from a positional relationship between the camera and the strip-like object, and converting the resolution into a real dimension.

5. A method for controlling the shape of a strip-like object, the method CHARACTERIZED in that it comprises: measuring the shape of the strip-like object by the strip-like object shape measurement method, as defined in any one of claims 1 to 4; and controlling the shape of the strip-like object, based on a measurement result, to have a desired shape.

6. Method of manufacturing a strip-like object, the method CHARACTERIZED in that it comprises: measuring a shape of the strip-like object by the strip-like object shape measurement method, as defined in any one of claims 1 to 4; and manufacturing the strip-like object based on a measurement result.

7. A method for managing the quality of a strip-like object, the method being characterized in that it comprises: measuring the shape of the strip-like object by the strip-like object shape measurement method, as defined in any one of claims 1 to 4; and managing the quality of the strip-like object based on a measurement result.

8. Measuring device for object shape similar to a tape measure Petition 870250081029, dated 09 / 09 / 2025, page.45 / 95 3 / 3 a strip-like object shape measuring apparatus CHARACTERIZED in that it comprises: an image capture unit configured to capture a thermal radiation light image of the strip-like object such that an angle θ formed by a plane α and an optical geometric axis of a camera does not become 90 degrees, the plane α being a reference plane of a surface of the strip-like object, and an angle φ formed by orthographic projection of the optical geometric axis of the camera onto the plane α and a transport direction p of the strip-like object does not become 0 degrees; and an image processing unit configured to calculate a shape index of an edge portion of the strip-like object by calculating a contour profile of the strip-like object from the image obtained.

9. Equipment for manufacturing a strip-like object CHARACTERIZED in that it comprises a measuring apparatus for the shape of a strip-like object, as defined in claim 8. Petition 870250081029, dated 09 / 09 / 2025, p. 46 / 95

Images