JP5733879B2 - Process failure detection device and process failure detection method - Google Patents

Description

  The present invention inspects the presence or absence of defects such as wrinkles and dirt present on the surface of the metal strip to be passed through in the production line of the metal strip, and detects a process defect in the production line based on the defect. The present invention relates to a process defect detection technique for stopping or stopping the process.

Conventionally, as a detection device for detecting defects such as surface flaws and dirt existing on the surface of a metal strip (hereinafter sometimes simply referred to as defects), a line extending from the diagonal to the width of the metal strip to be inspected A surface inspection machine having an irradiation optical system for irradiating light and a light detection system such as a line camera for imaging line light reflected on the surface of a metal strip has been used.
If there is a defect on the surface of the metal strip, scattered light having a high intensity is emitted from the defective part. Using this principle, in the above-described light detection system of the surface inspection machine, a threshold value is set in advance, and if scattered light larger than the threshold value exists, it is determined that a defect exists in the metal strip.

As an example in which such a surface inspection machine is applied to a manufacturing process, there is JP-A-2007-101359 (Patent Document 1).
Patent Document 1 discloses a wrinkle detection device that detects wrinkles that are finally harmful in a finished product with high accuracy by using appropriate learning data for wrinkle detection in the upper process.
This wrinkle detecting device includes an upper step wrinkle image detecting means for detecting upper step wrinkle image data by imaging a steel plate surface in an upper step of the steel plate production process, and upper step wrinkle image data detected by the upper step flaw image detecting means. Based on the result of comparison by the comparison means by the comparison means by the comparison process by the comparison process by the lower process and the lower process detected in the steel plate production process and harmful process image data is extracted from the upper process defect image data It has a hail image extracting means and a storage means for accumulating harmful hail image data extracted by the haze image extracting means as learning data, and the learning data accumulated by the accumulating means is used for hail determination of a new steel plate. It is characterized by that.

According to this wrinkle detection device, the wrinkle image data captured by the wrinkle inspection in the lower process is compared with the wrinkle image data captured by the wrinkle inspection in the upper process, and finally the harmful wrinkle image data is learned data. Therefore, sufficient learning data can be stored in the soot detecting device in the upper process. Thereby, while the precision of the wrinkle inspection in an upper process can be improved markedly, the wrinkle determination precision of a steel plate can be improved. In addition, when a flaw that is harmful in the upper process is detected, it is possible to take measures such as preventing defective products from flowing into the lower process.
JP 2007-101359 A

By the way, the technique described in Patent Document 1 detects wrinkles generated in a metal strip as a product with high accuracy in the upper process, and takes measures to prevent a defective product from flowing into the lower process, that is, has a defect. It is a technology for reliably eliminating metal strips, that is, products.
However, if the cause of the defect detected in the metal strip is due to each step of the manufacturing process, a large number of coils (coiled metal strip) containing the defect will be produced if production is continued. In order to produce the product, it is necessary to immediately stop the manufacturing process and the causative process and take measures such as maintenance or process improvement.

Regarding such requests from the site, that is, whether the cause of defects is due to human work or processes, and if the cause is a process, further narrowing down which process is the cause Patent Document 1 does not mention. In other words, the technique of Patent Document 1 cannot cope with a request for diagnosis of a manufacturing process.
Therefore, in view of the above problems, the present invention includes a plurality of steps in which a metal strip wound in a coil shape is unwound, the unwound metal strip is processed, and then wound around the coil again. It is an object of the present invention to provide a process defect detection technique capable of narrowing down a process causing a defect and taking a prompt action when a defect occurs in a production line.

In order to achieve the above-described object, the present invention takes the following technical means.
The process defect detection apparatus according to the present invention includes a plurality of processes in which a strip-shaped metal strip wound in a coil shape is unwound, the unrolled metal strip is processed, and then wound around the coil again. A defect detection apparatus provided in a production line, wherein the inspection unit is provided in each of the plurality of processes and detects a defect of a surface of a metal strip to be passed, and a defect is detected in the inspection unit in the current process. A conversion unit that, when detected, converts the detected position information of the defect into position information in the previous process based on the coil winding attitude in the previous process and the coil winding position in the current process; Based on the subsequent position information, a defect determination unit that determines the presence or absence of a defect in the previous process corresponding to the detected defect, and the defect determination unit determines that there is no defect in the previous process. A defect occurred in the current process Together is determined that the distribution of the detected defective portion in the metal strip on, and / or, based on the previously segmented the defective type, a step determination unit for determining the rank of defects, in the step determination unit, And a process stop unit that stops the current process based on the rank of failure of the current process .

The process defect detection method according to the present invention includes a step in which a strip-shaped metal strip wound in a coil shape is unwound, the unrolled metal strip is processed, and then wound around the coil again. A defect detection method applied to a plurality of production lines, wherein an inspection step for detecting a surface defect of a metal strip passing through each of the plurality of processes and a defect is detected at the inspection step in the current process. A conversion step for converting the detected defect position information into position information in the previous process based on the coil winding attitude in the previous process and the coil winding attitude in the current process; Based on the position information, a defect determination step for determining presence / absence of a defect in the previous process corresponding to the detected defect, and when the defect determination step determines that there is no defect in the previous process, the detection is performed. Good with judges to those generated in the present process, step determination step distribution of the detected defective portion in the metal strip on, and / or, based on the previously segmented the defective type, to determine the rank of a defective And stopping the current process based on the rank of the defect determined in the process determination step .

According to this process defect detection device and process defect detection method, even if the longitudinal direction, width direction, and front / back direction of the strip-shaped metal strip changes due to coil unwinding or winding in the production line, it is detected in the current process. Since the position information of the defect is converted into position information in the previous process, the position of the defect in the current process and the previous process can be correlated and compared.
As a result of the comparison, if it is determined that there is no defect at the corresponding position in the previous process, the defect detected in the current process is likely to be a defect caused by the equipment in the current process, which causes the defect. It is possible to narrow down the equipment and take a quick response.

The process determination unit may determine that the defect has occurred in the current process based on the distribution state of the detected defect.
For example, if the detected defect is present approximately periodically from the front end to the tail end of the metal strip, it is a defect due to a defect such as a roll in the current process (process in which the defect is detected). There is a great possibility, and it is necessary to stop the current process or perform urgent maintenance.
However, if the detected defect exists only in a part of the tip end part or a part of the tail end part of the metal strip, it is not a defect caused by the process constituting the manufacturing process. It can be considered as a failure due to human work that occurred during the transfer of the strip from the previous process to the current process. In the transfer between processes, the metal strip is coiled, and when a defect such as a flaw is generated by hitting such a coil, the defect exists only at a part of the tip of the metal strip. It is.

Thus, based on the distribution state of defects detected in the current process, it is possible to reliably determine whether the cause of the detected defect is in the current process or otherwise.
The conversion unit includes the position information in the sheet passing direction, the position information in the width direction, and the position information in the front and back direction for the defect detected in the current process, the position information in the sheet passing direction in the previous process, the position information in the width direction, and It is good to comprise so that it may convert into the positional information on the front and back direction.
More preferably, a predetermined reference point is provided on the metal strip, and the conversion unit is detected in the current process in consideration of the reference point of the current process and the reference point of the previous process. The defective position information may be converted into position information in the previous process.

By doing this, even if the longitudinal direction, width direction, and front / back direction of the metal strip change due to coil unwinding and winding, the position information of the defect detected in the current process is converted to the position information in the previous process. Can be compared.
Moreover, when the said process determination part determines with the present process having a defect, it is good to provide the process stop part which stops the present process.
Since the current process, that is, a process in which a defect is detected can be stopped by this process stop unit, it is possible to prevent a large amount of metal strips including defects resulting from the process from occurring.

The inspection unit described above includes an imaging unit that images the surface of the metal strip, an image processing unit that performs image processing on data from the imaging unit, and a surface of the metal strip based on the results of the image processing unit. It is good to have a defect detection part which detects a defect.
The most preferable form of the process defect detection apparatus according to the present invention is that a strip-shaped metal strip wound in a coil shape is unwound, the unrolled metal strip is processed, and then again into the coil. A defect detection apparatus provided in a production line having a plurality of processes to be wound, wherein at least one of the plurality of processes is a rolling process, and is provided in each of the plurality of processes. An inspection unit that detects a defect on the surface of the metal strip to be plated, and a coil winding posture in the previous process and a coil unwinding posture in the current process when the inspection unit detects a defect in the current process. Based on the conversion unit that converts the position information of the detected defect into position information in the previous process, and the defect that determines the presence or absence of the defect in the previous process corresponding to the detected defect based on the converted position information A determination unit; When the determination unit determines that there is no defect in the previous process, it is determined that the detected defect has occurred in the current process, and the distribution of the detected defect points on the metal strip, and / or A process determination unit that determines a rank of a defect based on a defect type that is classified in advance, and a process stop unit that stops the current process based on a rank of a defect of the current process in the process determination unit, and When the original process is a rolling process, the conversion unit calculates the amount of elongation of the metal strip in the original process based on at least one of the elastic modulus of the metal strip, deformation resistance, the rolling reduction of the rolling mill, Based on the calculated amount of elongation, the position information in the plate direction, the position information in the width direction, and the position information in the front and back direction for the defects detected in the current process are
It is characterized by being converted into position information in the sheet passing direction, position information in the width direction, and position information in the front and back direction.
The most preferable form of the process failure detection method according to the present invention is that a strip-shaped metal strip wound in a coil shape is unwound, the unrolled metal strip is processed, and then again into the coil. It is a defect detection method applied to a production line having a plurality of steps to be wound, and at least one of the plurality of steps being a rolling step, and a metal strip that passes through each of the plurality of steps An inspection step for detecting a defect on the surface of the plate, and when a defect is detected in the inspection step in the current process, based on the coil winding attitude in the previous process and the coil unwinding attitude in the current process, A conversion step for converting the position information of the detected defect into position information in the previous process, and a defect determination step for determining whether there is a defect in the previous process corresponding to the detected defect based on the converted position information. And, when it is determined that there is no defect in the previous process by the defect determination step, it is determined that the detected defect has occurred in the current process, and the distribution of the detected defect locations on the metal strip, And / or a process determination step for determining the rank of the defect based on the previously classified defect type, and a step for stopping the current process based on the rank of the defect determined in the process determination step. In the conversion step, when the original process is a rolling process, the elongation amount of the metal strip in the original process is calculated based on at least one of the elastic modulus, deformation resistance, and rolling reduction of the rolling mill. Then, based on the calculated amount of elongation, the position information in the threading direction for the defect detected in the current process, the position information in the width direction and the position information in the front and back direction, position information in the threading direction in the previous process width And converting the location information and the front and back direction of position information of direction.

  According to the present invention, a strip-shaped metal strip wound in a coil shape is unwound, the unrolled metal strip is processed, and then defective in a production line having a plurality of steps that are wound again in a coil. When this occurs, it is possible to narrow down the process that caused the failure and take a quick response.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
In the following description, the same parts are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.
FIG. 1 is a diagram illustrating an example of a production line for a metal strip 90 to which the process failure detection apparatus according to the present embodiment is applied.
In FIG. 1, the metal strip 90 hot-rolled in the hot-rolling step 10 is cold-rolled into a thin plate having a predetermined thickness in the cold-rolling step 20. Next, continuous annealing is performed in the annealing step 30, and then pickling in the pickling step 40 for removing the scale. Further, the surface is treated in the surface treatment step 50, and the metal is processed as a product through the final inspection step 60. The strip 90 is shipped.

In FIG. 1, the surface inspection is performed by the surface inspection apparatus 70 in the hot rolling process 10, the cold rolling process 20, the annealing process 30, the pickling process 40, and the surface treatment process 50. A surface inspection apparatus 70 as shown in FIG. The output of the surface inspection apparatus 70 is transferred to the control apparatus 80, and the control apparatus 80 determines whether or not there is a defect such as surface flaws or dirt (hereinafter simply referred to as a defect).
In the present embodiment, each process is assumed to be composed of one facility. For example, it is assumed that the hot rolling process is composed of one hot rolling mill.

FIG. 2 shows an example of a schematic configuration of a part of a production line of the metal strip 90 according to the present embodiment and a surface inspection apparatus 70 (inspection unit) provided for each process constituting the production line. Has been.
In this figure, a surface inspection apparatus 70 includes an illumination unit 71 that irradiates a metal strip 90 with inspection light, and an imaging unit 72 that captures reflected light obtained by irradiating the metal strip 90 with the illumination unit 71. Have.
The illuminating unit 71 has a light emitting mechanism composed of a halogen lamp and a laser light generator and a condensing mechanism such as a condensing lens, and light emitted from the light emitting mechanism is linearly collected by the condensing lens. Thus, the surface of the metal strip 90 is illuminated in a line shape in the width direction.

The imaging unit 72 is, for example, a CCD camera, and has a function of generating an image signal by imaging line light irradiated on the surface of the metal strip 90 by the illumination unit 71. The generated image signal is transmitted to the control device 80.
In the present embodiment, the surface inspection apparatus 70 has the illumination unit 71 disposed on the downstream side of the metal strip 90 (so as to face the flow of the metal strip 90), and the upstream side of the metal strip 90. However, the present invention is not limited to this arrangement.
On the other hand, as described above, the production line has a plurality of steps (five steps) including a hot rolling step 10, a cold rolling step 20, an annealing step 30, a pickling step 40, and a surface treatment step 50. 3 exemplarily shows three steps (cold rolling step 20, annealing step 30 and pickling step 40).

In the case of this embodiment, the take-up reel of the cold rolling process 20 winds up the metal strip 90, and in the annealing process 30, the reel on the unwinding side is lowering, and the reel on the winding side Is the top winding. In the pickling process 40, the metal strip 90 is unwound from the unwinding reel.
In such a production line, the metal strip 90 wound on the reel has its tip (top) and rear end (bottom) always opposite in each step. This is because the winding end portion in the previous step corresponds to the unwinding tip portion in the current step. Therefore, if a defect such as a surface flaw existing at the position of X = L in the annealing process 30 (the current process in this case) occurs in the cold rolling process 20 (the previous process in this case), X = The coordinate in the longitudinal direction of the metal strip 90 shown in FIG. 2 is the coordinate X, and AL is the total length of the metal strip 90.

In the rolling process such as the hot rolling process 10 and the cold rolling process 20, the AL is increased with rolling. The elongation amount of the AL is the elastic modulus and deformation resistance of the metal strip 90, the rolling mill reduction ratio, etc. It can be obtained by calculation based on the factors.
Further, the metal strip 90 wound in a coil shape may be opposite in the width direction of the metal strip 90 in the previous process and the current process. This is because the “left and right” of the coil at the time of winding is reversed to “right and left” at the time of winding. For example, in the pickling process 40 (the current process in this case), if a defect existing at the position of Y = W occurs in the annealing process 30 (the previous process in this case), Y = AW−W The coordinate in the width direction of the metal strip 90 shown in FIG. 2 is the coordinate Y, and AW is the full width of this metal strip 90.

Further, in the coil-shaped metal strip 90, the front and back directions of the metal strip 90 may be reversed between the previous process and the current process. For example, when a coil wound by upper winding at the time of winding is unwound by lower winding in the next step, the front and back directions are reversed. That is, if a defect existing in the Z (1) plane in the annealing step 30 (current step in this case) in FIG. 2 occurs in the cold rolling step 20 (previous step in this case), Z (2 ) Will exist on the surface.
In summary, the position of the defect differs depending on the coil winding posture in the previous process (winding state of the metal strip 90) and the coil winding posture in the current process (winding state of the metal strip 90). In consideration of these, it is necessary to associate the defect position in the previous process with the defect position in the current process.

FIG. 3 is a control block diagram illustrating a control configuration of the control device 80 that realizes the process failure detection device according to the present embodiment.
The control device 80 according to the present embodiment includes a surface inspection unit 200 (inspection unit) that identifies defects such as surface defects based on image data of the surface state when the plate is picked up by the imaging unit 72. The surface inspection unit 200 includes an image processing unit (not shown) that performs image processing on data from the imaging unit 72 and a defect detection unit that detects defects on the surface of the metal strip 90 based on the result of the image processing unit. (Not shown). The defect detection unit extracts defects such as surface defects by using a known image processing technique (binarization, pattern matching, etc.), and the obtained inspection result is stored in the database unit 700 as quality defect data. .

In addition, when a defect is detected by the surface inspection unit 200 in the current process, the control device 80 detects the detected defect based on the coil winding attitude in the previous process and the coil winding attitude in the current process. It has the conversion part 600 which converts a positional information into the positional information in a previous process.
Further, the control device 80 compares the quality defect data in the previous process with the quality defect data in the current process based on the position information converted by the conversion unit 600, and determines the defect in the process. Part 300. In addition, when the defect determination unit 300 determines that there is no defect in the previous process, the process determination unit 400 determines that the detected defect has occurred in the current process.

The control device 80 also includes a process stop unit 500 that stops the current process based on the result of the process determination unit 400.
FIG. 7 is a flowchart of processing executed when a process failure is determined in the process failure detection apparatus according to the present embodiment. Hereinafter, the determination process executed in the control device 80 will be described using this flowchart.
In S100 (step is described as S), the control device 80 images the surface of the metal strip 90 using the surface inspection device 70 in each process, and sends the obtained image data to the surface inspection unit 200. It is done.

In S101, the surface inspection unit 200 creates quality defect data (defect type, rank) such as surface defects on the metal strip 90 from the acquired image data.
The quality defect data created by the surface inspection unit 200 stores what kind of defect is present at which position (XYZ coordinate) of which metal strip 90 in which process. That is, as defect information, a process code for identifying a process, a coil number for identifying the metal strip 90, a classification of a defect such as a serious defect or a minor defect (defect type), defect The position in the longitudinal direction, the position in the width direction of the defect, the front and back positions of the defect, the rank of the defect (details will be described later), and the like are included. These pieces of information are collected, for example, in the form of an inspection information database shown in FIG.

In S102, the quality defect data in the previous process of the metal strip 90 to be inspected is acquired from the inspection information database.
Regarding the data of the previous process, a manufacturing performance database as shown in FIG. 4 is stored in the database unit 700. From such manufacturing performance data, the coil number that is a key for specifying the metal strip 90 is used. Perform a search. By collating the coil numbers, the information on the metal strip 90 in the previous process is extracted from the inspection information database as shown in FIG. The process of S102 is performed by the defect determination unit 300.

  By the way, although the surface inspection result of the metal strip 90 is expressed by position information in the process in which the inspection was performed, whenever unwinding and winding occur at the time of feeding like the metal strip 90, each time. The front end (top) and the rear end (bottom) in the longitudinal direction are interchanged. Further, depending on the process, the unwinding direction and the winding direction are different from the upper side or the lower side, whereby the front surface and the back surface of the coil are switched. The width direction of the metal strip 90 may be reversed. Therefore, when comparing the quality defect data in the current process and the previous process, it is necessary to compare the coordinates with the corrected posture change as described above.

Therefore, in S102, the relative posture change of the current process and the previous process is calculated, and the front / back information (Z direction), longitudinal position (X direction), and width direction position stored in the inspection information database. (Y direction) is converted so that the current process corresponds to the previous process. For this conversion, the equipment definition database shown in FIG. 5 is used. The processing performed in S102 is performed by the conversion unit 600 in the control device 80.
Specifically, a defect such as a surface defect present at the position of X = L in the current process is converted to exist at the position of X = AL−L in the previous process. In addition, AL is the full length of this metal strip 90. In the rolling process such as the hot rolling process 10 and the cold rolling process 20, the AL extends along with the rolling. The elongation amount of the AL depends on the elastic modulus and deformation resistance of the metal strip 90, and the reduction of the rolling mill. It can be obtained by calculation based on factors such as rate.

Further, when the coil arrangement is reversed left and right in the previous process and the current process, the defect that exists at the position of Y = W in the current process is converted so that it exists at the position of Y = AW−W in the previous process. . AW is the full width of the metal strip 90.
Further, when the coil unwinding is different between the previous process and the current process (for example, the previous process: upper winding, the current process: lower unwinding), the defect existing on the Z (1) plane in the current process is Is converted to the one existing in the Z (2) plane.
In addition, the process of this conversion part 600 is performed based on the reference point provided in the arbitrary points on the metal strip 90, and in this embodiment, the winding start end of the metal strip 90 in the first step. The drive side is the reference point.

Next, in step S103, the process determination unit 400 compares the quality defect data of the previous process with the quality defect data of the current process after conversion, and determines that “there is a defect in the current process, When it is found that “there is no process defect”, the detected defect is extracted as “a defect newly generated in the current process”.
In step S104, the process determination unit 400 determines whether there is a newly extracted defect that is regarded as a serious defect. If it is determined that there is a serious defect in the newly extracted defect (YES in S104), the process proceeds to S105. If not (NO in S104), the process proceeds to S106.

In S105, process determination unit 400 calculates the characteristics of the defect distribution on metal strip 90 where the defect is detected. Thereafter, the process proceeds to S107.
On the other hand, in S <b> 106, process determination unit 400 determines whether there is a newly extracted defect that is regarded as a minor defect. If it is determined that there is a minor defect in the newly extracted defect (YES in S106), the process proceeds to S105, and the distribution characteristics of the defect on the metal strip 90 where the minor defect is detected are characterized. Calculated. If not (NO in S106), this process ends. Here, generally, there is a tendency that the number of data regarding minor defects increases, and it is possible to reduce the calculation load by processing the serious defects first.

In step S107, the process determination unit 400 determines whether the defect detected in the current process is a defect caused by the process based on the calculated defect occurrence status (for example, distribution status).
In addition, what is considered a serious defect is a case where wrinkles are periodically generated on the entire surface of the metal strip 90, and there is a high possibility that the wrinkles are caused by a rolling roll or a transport roll. Moreover, as a serious defect, perforation and pressing are applicable in addition to wrinkles. Dirt and discoloration correspond to those considered to be minor defects.
However, whether or not these failure types are really serious depends largely on the distribution state of the failures and the process in which the failure is detected. Rank) ”is used. For example, although “discoloration” is a minor defect as described above, if it occurs in the lower process of the production line, it should be considered a defect that is close to the product and cannot be overlooked. It's big.

In this way, it is possible to determine whether or not a defect is caused by a process by checking the type and rank of the defect. In particular, it can be determined whether or not a defect that cannot be overlooked is generated from the value of the rank (in this case, corresponding to the degree of abnormality).
In addition, if the detected defect exists only in a part of the tip part of the metal strip 90 or a part of the tail end part, it is not a defect caused by the process constituting the manufacturing process, for example, The metal strip 90 is set to be considered to be defective due to human work that occurs during the transfer from the previous process to the current process. This is because the metal strip 90 is coiled during transfer between processes, and when a defect such as a flaw is generated by hitting such a coil, the defect is a part of the tip of the metal strip 90. This is because it is desirable to distinguish from defects caused by the process.

By the way, in this S107, there is no problem even if it is determined that the defect is due to the process if there is a surface defect regardless of the distribution state of the defect.
If it is determined that the defect is caused by a process and has a high degree of abnormality (rank) (YES in S107), the process proceeds to S108. If not (NO in S107), this process ends.
Note that the degree of abnormality is not defined only by “rank”, but is set for each manufacturing process or manufacturing line by using a combination of defect types, processes, and other parameters (for example, user requests). It may be a thing.

In step S108, the process stopping unit 500 determines that the degree of abnormality is large, that is, that a defect due to the process has occurred, and transmits a stop request signal to the process computer so as to stop the process.
As described above, the process defect detection device according to the present embodiment detects defects such as surface defects of the metal strip, and not only manages the quality of the metal strip, but also the defects of the metal strip. It is possible to narrow down the process that caused the problem and to take quick action such as performing maintenance or stopping the process. As a result, it contributes to the productivity improvement of the metal strip.

It should be thought that embodiment disclosed this time is an illustration and restrictive at no points. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.
For example, in the present embodiment, one process is realized by one facility, but there is no problem even if one process has a plurality of facilities. In that case, it is preferable that the surface inspection apparatus 70 is attached to each facility, and instead of stopping the “process” by the process stop unit 500, only the problematic “equipment” is stopped. It is good to let them.

  Further, in the present embodiment, the surface inspection apparatus 70 that inspects only the surface of the metal strip 90 is illustrated, but back surface inspection or simultaneous inspection of both the front and back surfaces may be performed.

It is a block diagram which shows the production line of the metal strip to which a process defect detection apparatus is applied. It is a perspective schematic diagram of the production line of the metal strip to which the process defect detection device is applied. It is a control block diagram of a process defect detection device. It is a figure which shows an example of a manufacture performance database. It is a figure which shows an example of an equipment definition database. It is a figure which shows an example of a test | inspection information database. It is a flowchart which shows the defect detection process in a process defect detection apparatus.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Hot-press process 20 Cold rolling process 30 Annealing process 40 Pickling process 50 Surface treatment process 60 Final inspection process 70 Surface inspection apparatus 80 Control apparatus 90 Metal strip 200 Surface inspection part 300 Defect determination part 400 Process determination part 500 Process stop part 500 Process stop part 600 converter

Claims (4)

Metal strip of the strip that is wound in a coil shape is unwound, unwound metal strip is processed, at least one of the then plurality have a process to be wound again coils, the plurality of steps The above is a defect detection device provided in a production line that is a rolling process ,
An inspection unit that is provided in each of the plurality of steps and detects a defect of the surface of the metal strip to be passed,
When a defect is detected by the inspection unit in the current process, the position information of the detected defect in the previous process is determined based on the coil winding attitude in the previous process and the coil unwinding attitude in the current process. A conversion unit that converts information,
A defect determination unit that determines the presence or absence of a defect in the previous process corresponding to the detected defect based on the converted position information;
When it is determined by the defect determination unit that there is no defect in the previous process, it is determined that the detected defect has occurred in the current process, and the distribution of the detected defect points on the metal strip, and / or Alternatively, a process determination unit that determines the rank of a defect based on a defect type that is classified in advance;
In the process determination unit, a process stop unit that stops the current process based on the rank of the defect of the current process,
Only including,
When the original process is a rolling process, the conversion unit calculates the amount of elongation of the metal strip in the original process based on at least one of the elastic modulus, deformation resistance, and rolling reduction of the rolling mill. Based on the calculated amount of elongation, the position information in the threading direction, the position information in the width direction, and the position information in the front and back direction for the defects detected in the current process, the position information in the threading direction in the previous process, the width An apparatus for detecting a process defect, wherein the position defect information is converted into position information in a direction and position information in a front and back direction . A predetermined reference point is provided on the metal strip,
The converting unit takes into account the reference point of the reference point and the preceding process of the current process, to claim 1, characterized in that converting the position information of defects detected in the current step position information in the previous step The process defect detection apparatus as described. The inspection unit detects an image of the surface of the metal strip, an image processing unit that performs image processing on data from the imaging unit, and detects defects on the surface of the metal strip based on the results of the image processing unit 3. The process defect detection device according to claim 1, further comprising a defect detection unit configured to perform the process. Metal strip of the strip that is wound in a coil shape is unwound, unwound metal strip is processed, at least one of the then plurality have a process to be wound again coils, the plurality of steps The above is a defect detection method applied to a production line that is a rolling process ,
An inspection step for detecting a defect in the surface of the metal strip that passes through each of the plurality of steps;
When a defect is detected in the inspection step in the current process, the position information of the detected defect in the previous process is determined based on the coil winding attitude in the previous process and the coil unwinding attitude in the current process. A conversion step for converting to information;
A defect determination step for determining the presence or absence of a defect in a previous process corresponding to the detected defect based on the converted position information;
If it is determined in the defect determination step that there is no defect in the previous process, it is determined that the detected defect has occurred in the current process, and the distribution of the detected defect locations on the metal strip, and / or Or, a process determination step for determining a rank of a defect based on a defect type classified in advance,
Have have a step of stopping the current process based on the rank of the defect as determined in the step determination step,
In the conversion step, when the original process is a rolling process, the elongation amount of the metal strip in the original process is calculated based on at least one of the elastic modulus, deformation resistance, and rolling reduction of the rolling mill. Based on the calculated amount of elongation, the position information in the threading direction, the position information in the width direction, and the position information in the front and back direction for the defects detected in the current process, the position information in the threading direction in the previous process, the width A process defect detection method comprising: converting the position information into direction information and position information in the front and back directions .

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