JPH0290047A - Apparatus for monitoring quality of paper - Google Patents

Abstract

PURPOSE:To make it possible to perform overall evaluation of correlation with paper manufacturing factors with respect to the texture of the paper and to make it possible to perform monitoring by operators during the manufacturing of the paper by performing image processing with three analyses of texture analysis, defect analysis and streak analysis. CONSTITUTION:The image of running paper is picked up with a video camera 21 and undergoes A/D conversion in an A/D converter 22. The result is stored in a memory 23. The data in the memory are inputted into first-third image signal processors 26, 30 and 31 based on retrieving commands 54 from the first image signal processor 26. The processor 26 performs frequency analysis and standard deviation processing and performs texture analysis. The processor 30 performs defect (abnormality in transmitted light level at each picture element) analysis of the paper. The processor 31 performs streak analysis of the paper. An operator 39 receives the output signals from the processors 26, 30 and 31 and the signals of the jet speed of the paper manufacturing machine, the wire speed and the concentration of a raw material and performs correlation analysis between the speed and concentration and the texture and streak. In this way, the relation of the paper manufacturing data which are the factors for the texture and the streak of the running paper can be readily grasped.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a quality monitoring device applied to low quality inspection of paper making, coated paper, etc. of a paper machine.

[Conventional technology]

FIG. 8 shows a schematic diagram of a paper machine. Paper raw material discharged from the head box L is dehydrated in the wire section 2 and the press section 3.
The paper is dried by heat in the dryer section 4, and after adjusting the caliber (thickness of the paper) and the smoothness of the paper surface in the calender section 5, it is wound up in the reel section 6.

Now, one of the quality inspection items for papermaking is formation. Formation refers to the degree of dispersion and entanglement of paper fibers, and has generally been determined by visual evaluation through the paper using transmitted light. However, judging the formation requires a considerable amount of experience and knowledge, and individual differences often arise due to differences in judgment standards, and visual inspection can only be performed after the paper has been wound onto a reel. It was not possible to evaluate the formation, and therefore it was not possible to evaluate the formation in real time during paper making. ! ! Recently, with improvements in electronic technology and measurement technology, devices that evaluate paper formation in real time during paper making have been put into practical use.

Figure 9 shows one such device, Conventional Example 1, which uses a laser beam to evaluate paper texture on-machine.
The configuration diagram is shown below. This formation detector consists of a laser light source 10 and a light receiver 11, and is usually installed between the calendar 5 and the reel 6.

The laser light emitted from the laser light source IO passes through the paper and reaches the receiver 1.
1, and is detected as the strength or weakness of the transmitted light. The intensity of this transmitted light is sent to the signal analysis circuit 12 as a ground signal waveform. A microcomputer 13 performs numerical processing of this signal to determine whether the ground is good or not using analysis methods such as frequency analysis.
and output to the CRT 14 and printer 15.

Figure 1θ shows Conventional Example 2, in which visible light is applied to paper in order to match human visual evaluation. The average value of the amount of light is measured simultaneously using separate photodiodes, and each signal output is logarithmically compressed and compared.0 It is said that human vision perceives the difference between brightness and darkness logarithmically, and it is also possible to evaluate the area. By incorporating this, we have come closer to human evaluation. However, people's evaluations differ slightly depending on the evaluator, and it was not possible to clearly express the differences.

A disadvantage of the above-mentioned conventional examples is that the texture evaluation is only numerical values, and it is necessary to check the texture off-line using a watermark box to detect subtle differences caused by an individual that cannot be grasped by the operator during paper making. As a ground evaluation device that improves this, conventional example 3 is shown in FIG.

In this example, the laser light source 10 of the conventional example 1 (FIG. 9) is
, a light source generator 31 and a video camera 21 are installed in place of the light receiver 11. The image processing device 26 is replaced by the video camera 21 and the light source generator 31 (since a strobe is used, it is necessary to consider the shutter speed of the video camera). A synchronizing signal 51 is applied to the

The strobe 31 flashes in synchronization with the synchronization signal 51, and the video camera captures the image in synchronization with the synchronization signal 51. Since the flash time of the strobe light can be made very short, it is possible to obtain a still image of the moving paper. It is possible.

The two-dimensional image captured by the video camera 21 is
The signal is sent to the A/D converter 22 as an analog video signal 52, subjected to ^/D (analog-digital) conversion, and stored in the memory 23 as a digital video signal 53. This digital video signal 53 is transmitted to the image signal processing device 2
6, the image signal processing device l! 2
6, where the image is subjected to necessary image processing, and then sent to the memory 23 again. Furthermore, D/^ converter 2
4, it is converted back to an analog signal and sent to the video monitor 2.
5 is displayed as a still image of the running paper. The image signal processing device 26 also performs frequency analysis on this digital video signal 53 as a ground signal waveform, and calculates a ground index by performing processing such as dividing the standard deviation of each frequency component by the average value. Furthermore, this number of results is converted into a form that is easy for humans to view, such as a graph, and displayed on the Cl1T 27, and is also printed out on the printer 28 if necessary.

In this prior art example 3, a still image of the transmitted light formation can be visually observed during the papermaking operation, and it can also be known numerically, which is a significant advance compared to the above-mentioned prior art example 1.2.

However, the streaks that occasionally occur due to random pinches in the width direction were evaluated as being at the same level.

(Problem to be solved by the invention) The above conventional technology has the following problems.

1) It has long been known that formation is greatly influenced by papermaking factors (e.g. raw material 4 degree, freeness, etc.), but the relationship with fluctuations and variations in papermaking factors is not clear, and operators Because it was necessary to make various adjustments to the type of accitane used to adjust the formation, it took time to obtain a good formation.As an example of the relationship between formation and paper-making factors, It has long been well known that the ratio of wire speed (jet speed) to medium wire speed changes greatly, and experiments have shown that the quality of the formation changes depending on the ratio of jet speed/wire speed, as shown in Figure 12. The jet speed was controlled to a constant target value by controlling the rotation of a fan pump (not shown) that sends the raw material to the head box and controlling the head box pressure.
be done. However, although some fluctuations in jet speed due to control responsiveness and fluctuations in the liquid level in the silo cannot be avoided, little is known about the detailed effects of these fluctuations and formation.

In addition, the weight is measured with a weighing meter provided in front of the reel, and the opening degree of a seed valve (not shown) is controlled so that the target weight is achieved. It is generally known that the concentration of the headbox influences the quality of the formation, and the degree of influence varies depending on the type of fiber, the type of footbox, etc. Although the factors that influence the formation have been discussed conceptually,
There is no means to monitor these relationships during paper making, and as mentioned above, the operation is based on the operator's experience and intuition, so adjustments cannot be made in a short time.

2) Evaluation based on weight unevenness in the width direction has been put into practical use with weighing scales, but if the width direction unevenness of the strength of transmitted light continues in the paper flow direction, it is not always possible to evaluate it by human visual observation. However, when operators evaluate the formation, they often judge the quality of the formation based on the extent of random fiber aggregates smaller than about 10 to 30 m. The fiber flock is called a grainy texture or a sandy texture, and its equivalent diameter is about 10 to 30III! When there are fiber flocks, it is called a flock formation or a cloud-like formation.

The shading and size of the random fiber flocks are used to evaluate the texture that matches the required paper type. However, when an operator visually observes the transmitted light through the paper, if there are parts where the intensity of the transmitted light differs in the width direction of the paper is continuous in the flow direction of the paper, this is called a streak and is not considered to be a formation that can be evaluated in a two-dimensional manner. is often distinct, and the operator's actions to resolve this streak are separate from improving the formation. Conventional land totaling only performs two-dimensional analysis processing based on this idea, so there is a problem in that the evaluation index is calculated including the influence of streaks.

3) When the running paper franks in front of the camera, the resulting shadow V (low frequency component due to fluttering) is removed by the processing device, but - because there is no correction for the size of the paper surface per pixel. If the distance between the camera and the running paper fluctuates due to large fluttering of the paper surface, evaluation errors may occur because the initially set dimensions per pixel are not uniformly processed.

4. For defects such as singularities, such as pinholes,
During frequency analysis, the effect of pinholes on the formation is removed by passing through a filter with a wavelength that removes the effect, but the lees that fell onto the top surface of the paper during the wire part and press part remain as they are. (without waking up) may be crushed by the calendar part and wound onto the reel.

This problem is being incorporated into analysis data without adequate countermeasures being taken.

5) It is not possible to evaluate ground unevenness in the width direction.

6) When changing the papermaking conditions, that is, changing papermaking, it is not possible to evaluate the changes in basis weight.

As mentioned above, information (
For example, there was a lack of information that would make the operator aware of streaks.

The present invention further improves the conventional texture evaluation device to enable comprehensive evaluation of paper texture and its correlation with papermaking factors, allowing operators to produce higher quality paper during papermaking. The purpose is to provide a monitoring device for

[Means to solve the problem]

The present invention takes the following means to achieve the above object.

In other words, as a paper quality monitoring device, there is a video camera that captures moving paper as a stationary two-dimensional image, an A/D converter that receives the output of the video camera, a memory that receives the output of the A/D converter, and a memory that receives the output of the A/D converter. A first image signal processing device that is connected to the memory, issues a call command to the memory, inputs the information, and performs ground analysis using frequency analysis and IlI standard deviation processing; a second image signal processing device that receives digital information from the memory according to a command and analyzes paper defects; a third image signal processing device that also receives digital information from the memory and analyzes paper streaks; Receives signals of the output of the first to third image signal processing devices and the jet speed, wire speed, and raw material concentration of the paper machine, and connects the jet speed, wire speed, and raw material 4° to the formation index and streak. The present invention includes an arithmetic device that performs correlation analysis, and a display device that is connected to the arithmetic device and displays its output.

[For production]

With the above means, the moving paper is imaged by a video camera, converted to A/11, and stored in the memory.

Further, the information in the memory is manually inputted to the first to third image signal processing devices by a call command from the first image signal processing device. The first image signal processing device performs frequency analysis and standard flaw processing to perform formation analysis, the second image signal processing device performs paper defect analysis, and the third image signal processing device performs streak analysis of paper. I do. Further, the calculation means is the first
or receiving the output signal of the third image signal processing device and the jet speed, wire speed, and raw material concentration signals of the paper machine, and performs a correlation analysis between the jet speed, wire speed, and raw material concentration, and formation and streak. . The display device displays the results of the correlation analysis.

In this way, it is possible to easily understand the relationship between jet speed, wire speed, and raw material concentration, which are the causes of paper formation and streaks during running, and to prevent formation deterioration and streaks during papermaking operations. Measures can be taken easily.

〔Example〕

An embodiment of the present invention will be explained with reference to FIGS. 1 to 7.

Figure 1 is a block diagram of the overall configuration, Figure 2 is a side (partial cross-section) view of the video camera mounting part, Figure 3 is a cross-sectional view of the video camera's transverse guide part, and Figure 4 is a diagram of the video camera and strobe. FIG. 5 is a conceptual diagram of a scale for position detection of a video camera, FIG. 6 is an external view of the operator coresor, and FIG. 7 is an explanatory diagram of streak analysis.

Note that the description of the portions described in the conventional example will be omitted, and the description will mainly focus on the portions related to the present invention.

In FIG. 1, a CCD camera of a video camera 2I is provided above the running car, and its output is manually input to a memory 23 via an A/D converter 22. One output of the memory 23 is input to the CRT 25 via the D/A converter 24. Further, other outputs are input to the first image signal processing device 26. A strobe 31 is provided below the paper and facing the video camera 2I. First image signal processing device 2
The output of 6 is CRT27, printer (PTR)28,
It is connected to a memory 23, a strobe 31, and a video camera 31. Further, a second image signal processing device 30 and a third image signal processing device 31 are provided to receive the output of the memory 23. An input device 38 and an arithmetic device 39 having a data memory are provided in the first to third image signal processing devices 2G, 30.
It receives output No. 13 of 3I and paper making data signals such as wire speed, jet speed, original #J4 degree, etc. of the paper machine. See you again! 1st to 4th CRT as Jt position 34.3
5, 36, and 37 are provided to receive the output of the arithmetic unit 39. In addition, the arithmetic unit 39 includes a floppy disk (FD) 32,
Hard desk (+10) 33, multi-point pen recorder (CH
T) 40, printer (PTR) 41, input board 4
2 is connected, and also connected to a camera 21 and a strobe 31. Furthermore, the distance signal 57 of the distance sensor 32 of the camera 21, the position signals 56 and 58 of the video camera (camera) 21, and the strobe light 31 are manually input to the calculation device 39.

In the above configuration, the first image signal processing device 26 provides the synchronization signal 51 to the video camera 21 and the strobe 31. The strobe 31 flashes in synchronization with the synchronization signal 51, and the camera 21 captures an image signal 52 in synchronization with the synchronization signal 51. The signal is converted into an A/D converter 22.
/D converted and stored in the memory 2 as a digital video signal 53.
It can be stored in 3. This video signal is transferred to the D/HA converter 24.
The signal is then converted back into an analog signal and output and displayed on the CRT 25 as a still image of the original image.

The digital video signal 53 on the memory 23 is taken into the first image signal processing device 26 according to the call command 54 of the first image signal processing device 26, where necessary image processing such as two-dimensional FFT processing is performed, and the Is the processed image CI? T2
The steps of 0 or more to be output as a still image in step 7 are the same as in the conventional processing method.

The digital signal sent to the first image signal processing device 2G by the call command 54 is also sent to the second and third image signal processing devices 30, 31 at the same time. That is, the first to
The same image signal is sent to the third image signal processing device.

In order to analyze paper defects, the second image signal processing device 30 checks whether each pixel corresponding to 5 to 10- or more on the paper surface is at the same level as the surrounding pixels in equal cleaning. In other words, are there any areas where the transparency is abnormally strong (the transmitted light level is abnormally strong) due to being crushed by the calendar, or where the transmitted light level is abnormally weak due to dirt or other dirt in the paper for some reason? Find out. In this way, it is determined whether or not the image can be evaluated for texture, and a signal 54 indicating whether or not the image can be evaluated is sent to the data memory 29 via the input/output device 38.

The third image signal processing device 31 analyzes streaks, which are a type of paper defect. The digital signals sent here are weighted on the pixel opening side in the paper running direction in each column for signals 1 to m rows (m is determined by the number of vertical or horizontal pixels of the CCD camera) in the paper width direction. The average is analyzed as the fiber unevenness of that pixel row. That is, the average transmitted light intensity of the first row in the width direction is expressed by equation (1).

Here, F(i, J) indicates the transmitted light intensity of the pixel in the i-th row and the 1st column (see FIG. 7).

Also, if you want to set the minimum width of interest to be equivalent to 3 columns, for example, (22
Expressed by the formula.

Data 55 on the unevenness of transmitted light in the width direction is sent to the data memory 29 via the input/output device. Further, the result data from the first image signal processing device is also sent to the data memory 29 via the input/output device.

In the above analysis example, signal processing is performed on all pixels of one image, but since smoothing is performed using a moving weighted average of several hundred times, which will be described later, the necessary Processing may be performed for the number of pixels in a matrix, and this can be applied to all of the first to third image signal processing devices.

An analog signal 57 indicating the distance between the camera 21 and the paper, a position signal 56 in the width direction of the camera, and a position signal 58 of the strobe are sent via the input/output device 38 in order to clarify the formation image processing data and the papermaking data. The data is sent to the data memory 29. Furthermore, information on wire speed, jet speed, raw material freeness, raw material concentration, and raw material temperature is stored in the data memory 29 via the input/output device 38 as papermaking data. In addition, for data such as foil arrangement, please refer to the human power board 42.
More operator input. If the second image signal processing device determines that the paper is defective, the image signals processed by the first and third image signal processing devices are processed by the arithmetic device as numerical evaluations of formation and streaks. The images that are not accepted and are determined to have defects are recorded on the floppy disk 32 along with time and location data.

The operator recalls this image and7. We will examine the cause and take countermeasures.

In the display panel shown in FIG. 6, a still image of paper obtained by synchronizing signals sent at predetermined time intervals is displayed on the CRT 25. An analysis image of the formation is displayed on the CRT 27. The CRT34 has the previously obtained texture [iii
A statue is displayed. On the CRT 35, an image of the best formation during paper making from the specified time ρ is displayed. This C
The RT 35 also displays the processed time and the formation evaluation index, which are retained until they are replaced with the next better formation data.

The operator selects the best formation image (CRT3) before the next paper change.
5) as the next goal, determine whether or not to replace the image on the CRT 34, and if replacement is necessary, issue a replacement command from the input board 42 in FIG. Data is stored as an image in the hard disk 33 or floppy disk 32 shown in FIG.

The CRT 36 displays the texture evaluation index for images evaluated as having no defects. In the first example, power spectrum results obtained by frequency analysis are displayed for each floc size in the form of, for example, a bar graph. In the second example, the moving average of two or more designated images is displayed for each flock size in the form of a bar graph, for example.

In the third example, the average of specified images of 2M or more images in the same column in the width direction of the paper is displayed as a line graph for a plurality of specified positions in the width direction. In the fourth example, the average child side Mi (RMS) of the sum of squares for a plurality of arbitrarily focused flock sizes based on two or more designated images is displayed as a time history in a line graph.

Other examples include the standard deviation and deviation coefficient (standard deviation + average value) values and graphs for the specified number of strokes. If it is necessary to record continuously on recording paper, it can be recorded on a multi-point pen recorder 40. In addition, regarding the relationship with papermaking factors, the formation as a time history (trend) is determined by the evolution of the formation evaluation index for one or more papermaking factors, such as the raw material concentration, jet speed/wire speed ratio, etc. CRT3
You can check it out at 6.

The CRT 37 is a monitor that monitors streaks in the running direction.The specified number of streaks in the width direction is determined by the streak width to be focused on and the machine size (paper width). The average of the j element and the total number of sheets in one screen in the paper direction is taken as one point, and the light transmission amount ratio in the width direction of the paper is displayed. Since the camera moves transversely at right angles to the paper running direction, it actually obtains a texture image diagonal to the paper flow, but images are taken at the same position in the width direction, and the specified number of strokes is It was found that the value of the weighted average or the root mean square of the sum of squares does not pose a practical problem. Also this C
By simultaneously displaying the weighing profile and the moisture profile on the RT 37, the correlation with the weighing profile becomes clear.

A countermeasure against weight fluctuations is to divide the received light intensity by the average received light intensity on both sides (one screen) of one captured image.

In addition, the arithmetic unit performs multiple regression calculations with papermaking factors, and the database can display which factors are causing the texture to fluctuate, so the operator can use this value and CRT fi
You can judge from both sides.

In this way, paper formations, defects, and streaks can be easily detected and displayed, and the correlation between them and papermaking data signals such as wire speeds that cause them can be analyzed and displayed. Become.

In FIG. 2, the camera 21 is fixed to a bracket 104, which has a threaded hole at one end and is mounted so as to engage with a threaded rod 105 via a guide rail (not shown). A threaded rod 105 with a vertical axis is connected to a motor 103 via a worm and a worm wheel 102.
It can be rotated at Motor 1 with the signal from the input board
By rotating 03 clockwise or counterclockwise, the distance from the camera 21 to the running paper can be determined. Most preferably, the motor is a stepping motor that moves in proportion to a control signal.Since the camera 21 can be focused remotely, the focus can be adjusted while visually checking the status of a still image.

However, focusing can be achieved relatively easily by setting the depth of focus appropriately. Bracket) 104 includes a distance sensor 32 for measuring the distance to the running paper, so even if the distance between the camera 21 and the running paper changes slightly due to flapping of the paper, the size per pixel of the camera 21 can be easily adjusted. It is possible to calculate. The distance sensor uses a non-contact sensor that uses laser or infrared rays.

Cover ill to prevent camera 21 from being affected by external light.
The tip of the cover is designed to prevent the running paper from breaking even if it comes into contact with it. Also, the distance between the camera 21 and the running paper is normally 0.5 fixQ, 5 a@ of the paper surface per pixel, but depending on the point of interest, rotating the motor 103 can increase or decrease the dimension per pixel. You can do it. - Changing the size per pixel is disadvantageous in terms of visually comparing the textures of different papers at the same level, but it is effective because it allows you to change the texture control points depending on the type of paper being made. There is a slight difference in the tube ring point between paper and high-quality coated base paper, and newsprint and kraft paper are also viewed differently.

Although not particularly shown in the drawings, a device for moving the strobe up and down in a similar manner is provided in order to maintain the amount of light received by the camera at the same level even when the paper type or scale changes. Furthermore, even if measures are taken to prevent condensation on the air purge system, wet end, etc. to prevent dust from adhering to the inside of the cover or the camera, this does not invalidate the gist of this example. .

Although the installation of the strobe light is not particularly shown, it is housed in a storage box, and one side facing the page is provided with a milky-white plate that allows light to pass through, so that the light hits the page evenly and uniformly.

In FIG. 3, a roller 107 is rotatably attached via brackets 106 attached to both sides of a cover 101 that houses the camera. As shown in FIG. 4, the roller 107 rides on the lower inner surface of a guide 108 that traverses the width direction of the paper, and can run in the axial direction of the guide. Guide 108
is supported by posts 112 and 113, synchro belts 110 are provided on both sides of the guide, and a synchro belt 110 is connected to the camera mount via synchro belt pulleys. Synchro Heltbouli Ill
One side of the motor is connected to a variable speed motor via a speed reducer (not shown), and the motor moves from one side to the other side, or from the other side to the other side, by forward/reverse operation of the motor. Furthermore, although not particularly shown in the drawings, a lateral vibration prevention roller is provided to prevent the camera mount from lateral vibration. Further, as shown in the figure, a strobe mount is also attached in the same way and moves in the same manner.

The strobe and camera detect their positions using position signals 57 and 58 at predetermined positions, and stay precisely at the predetermined positions. The traverse device for moving the camera 32 in the width direction includes a synchro belt, a synchro belt, a variable speed motor, etc., as described in section 11. The variable speed motor is most preferably a pulse motor, which receives an image processing end signal at a certain position from the arithmetic unit 39 via an input/output device and moves a predetermined distance to the next image processing position.

The strobe device is also controlled by the motor via a synchro belt and a synchro pulley so that it is at the same position as the camera in the width direction.

Furthermore, in order to know the exact positions of the camera and strobe device, a position detection sensor system is installed as shown in FIG. This is also useful for detecting V-belt rupture or slip failure.

A scale 120 having a required number of small diameter holes or narrow slits with a distance of an accurately determined dimension A is fixed to the guide 108 via a bracket (not shown), and a light emitter 121 and a light receiver 122 are connected to each other. It is fixed to the camera mount or strobe mount with a bracket. When the camera mount moves, the light receiver senses only the light that has passed through a predetermined hole or slit, so it knows the exact distance traveled and can always compensate for belt elongation or slip.

In FIG. 1, an example was explained in which 3 & [1 image signal processing devices were used, but these could be made into one set and the processing could be performed sequentially by software, and an example was explained in which 6 CR units were used.
There may be one unit for formation images and one unit for data, or there may be one unit for the whole, and the operator may select it using a touch panel or keyboard. Furthermore, it is also possible to display CIl↑ by dividing the screen. It is.

Although the number of pixels of the CCO camera is not particularly specified, it is determined by the area of the paper to be focused on and the minimum size to be analyzed. Since devices with 260,000 pixels or more can be obtained relatively inexpensively, the minimum size for analysis is 0.5 pixels. If the light intensity around the captured image is uneven due to camera characteristics or strobe characteristics, a limited internal portion can be used for analysis.

The following signals are employed as the signals manually input to the system of this embodiment as papermaking data.

(a) For example, the jet speed signal is a signal from a spatial filter type non-contact jet speed sensor.

(b) The concentration signal of the raw material is the signal of a fiber densitometer based on the polarization and intensity of transmitted light of a part of the raw material taken out from the inlet of the hendo box, or the freeness that is measured continuously on-machine. signal from the meter.

(1) The wire speed is a speed signal calculated from the rotation speed of the wire bar drive roll or a speed signal using a spatial filter method.

(1) In addition, the head box concentration signal is substituted with a signal indicating the opening state of the seed port valve (as the case may be).

The quality monitoring device described above can be applied not only to the quality monitoring of paper produced by a paper machine but also to coated paper. When applying a coating liquid to a coated base paper, poor quality may deteriorate depending on coating liquid properties (coating liquid viscosity, concentration, etc.) and coating conditions (coating liquid application pressure, etc.). When paper coated with a coating liquid is viewed under transmitted light, sandy texture (called satin texture in coated paper) and streaks as uneven coating occur, as occurs in paper machines. Currently, there is no on-machine means to understand these phenomena, and operators evaluate them by looking at the watermark box after applying the coating liquid. However, the correlation before and after coating is completely unknown, and it is hardly clear whether this is due to the base paper or the coating conditions.

Although not shown as an installation example, in such a case, the quality monitoring device detailed above is installed before and after applying the coating liquid, and the coating liquid application conditions can be determined by comparing the formation and streak flakes and taking the difference. can be determined or changed. Factors input as coating liquid application conditions include application amount, application concentration, viscosity, and the like.

In this way, coated paper can also be easily monitored.

(Effects of the Invention) As explained above, the present invention provides the following effects.

l) By performing image processing using three types of formation analysis, defect analysis, and streak analysis, formation evaluation becomes appropriate.

2) Calculate the correlation between the papermaking factor data signal and the formation, analyze the standard deviation and fluctuation rate of each data, and calculate the C
Since it is displayed on the RT, the operator can easily decide which axigons to take to improve the ground.

3) By outputting the data to an external storage device (bird disk, floppy disk), the data can be recalled at any time and examined in detail with past operational data.

4) The target formation image (the best one ever for the same paper type), the best formation image during paper manipulation, the formation image during analysis, etc. can be visually confirmed on the CRT at the same time. You can make paper using this knowledge.

New operators also have the advantage of being able to acquire technical skills not only through numerical control but also through intuition.

[Brief explanation of drawings]

FIG. 1 is a block diagram of a system according to an embodiment of the present invention. Figure 2 shows the side surface (near the paper) of the camera mounting part (near the paper) of the same example.
Partial cross section). FIG. 3 is a cross-sectional view of the camera traverse guide section of the same embodiment. FIG. 4 is an explanatory diagram of the movement procedure of the camera and strobe of the same embodiment. FIG. 5 is a conceptual diagram of the scale for detecting the camera position of the same embodiment. FIG. 6 is an external view of the operator console of the same embodiment. FIG. 7 is an example of a procedure for analyzing pixels and streaks of a COD camera. FIG. 8 is a block diagram of a conventional paper machine; FIG. 9 is a block diagram of a texture evaluation device of Conventional Example I; and FIG. 10 is a block diagram of a texture evaluation device of Conventional Example 2. FIG. 1 is a block diagram of the configuration of a ground evaluation device according to conventional example 3. FIG. 12 is an example diagram showing the relationship between formation and jet speed/wire speed ratio. 21-...Video camera, 22-A/D converter. 23- Memory 124-D/^ converter 25 ・CR
T 26.31.30--Image signal processing device. 27-CRT, 28-Printer 29
-Data memory, 32.-Fronbi disk 33-.Hard disk 34, 35.3637 Arithmetic unit-.CRT. 38... Input/output device. 40...Multi-point pen recorder/printer agent

Claims (1)

[Claims] A video camera that captures the moving paper as a stationary two-dimensional image, an A/D converter that receives the output of the video camera, a memory that receives the output of the A/D converter, and a device that is connected to the memory and retrieves it from the memory. A first image signal processing device that issues a command and inputs the information and performs ground analysis using frequency analysis and standard deviation processing, and receives digital information from the memory by a call command to the first image signal processing device. a second image signal processing device that analyzes paper defects; a third image signal processing device that also receives digital information from the memory and analyzes paper streaks; and the first to third image signal processing devices. a calculation device that receives signals of the output of the device and the jet speed, wire speed, and raw material concentration of the paper machine, and performs a correlation analysis between the jet speed, wire speed, and raw material concentration, and the formation index and the streak; A paper quality monitoring device characterized by comprising a display device connected to the arithmetic device and displaying the output thereof.