CN114960262A - Air dryer intelligent adjusting method based on optical detection - Google Patents
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Abstract
The invention relates to the technical field of electrical digital data processing, in particular to an air dryer intelligent adjusting method based on optical detection. The method comprises the following steps: drying each test paper by using an air dryer; firstly, calculating a stability index and a light transmittance difference index of vibration amplitude of each area of each paper; then, according to the stability index and the light transmittance difference index of the vibration amplitude of each area of each paper, calculating the humidity uniformity index of each paper; judging whether the humidity uniformity degree index meets a set range, and if so, judging that the humidity of the corresponding paper is uniform; calculating the difference index of each paper sheet and the standard paper sheet in the humidity uniformity group; and taking the air drying temperature of the paper with the minimum difference index as the optimal air drying temperature, and taking the air drying wind direction of the paper as the optimal air drying wind direction. The method is particularly suitable for specific functions, and particularly is an intelligent air dryer adjusting method. The invention ensures the quality of paper and improves the air drying efficiency.
Description
Technical Field
The invention relates to the technical field of electrical digital data processing, in particular to an air dryer intelligent adjusting method based on optical detection.
Background
China is a large paper-making country, and paper is an indispensable article in the fields of life, work and the like of people. In the paper manufacturing process, the water content in the pulp is a necessary condition for combining plant fibers with each other to form paper, and if the water medium function is not available, the fibers cannot be combined into the paper, so the drying of the paper is an essential link. The paper is dried by using an air dryer frequently, most of the air dryers for papermaking use a hot air drying mode, and a mode of setting the temperature at fixed time is mostly adopted in the using process, so that the convenience is brought, but the wind direction setting is unreasonable in the mode, and if the wind direction setting is unreasonable, the humidity of the paper is uneven, the quality of the paper is affected, and the paper is likely to be wrinkled; in this way, the set temperature may be unreasonable, and if the set temperature is too high, the humidity of the paper is too low, and the paper is easy to become brittle; if the temperature setting is too low, the drying efficiency of the paper is low.
Disclosure of Invention
In order to solve the problem that the wind direction and the temperature are unreasonably set when the existing method is used for drying paper, the invention aims to provide an air dryer intelligent adjusting method based on optical detection, and the adopted technical scheme is as follows:
the invention provides an air dryer intelligent adjusting method based on optical detection, which comprises the following steps:
drying each test paper by using an air dryer, and respectively giving different temperatures and different wind directions to different papers; dividing each paper into a set number of areas; for any area of any sheet: calculating the stability index of the vibration amplitude corresponding to the target time period of the area according to the vibration amplitude of each time in the target time period of the area; calculating the light transmittance difference index of the target time period of the area according to the light transmittance corresponding to each moment in the target time period of the area;
calculating a dry and wet state index corresponding to each area of each paper according to the stability index and the light transmittance difference index of the vibration amplitude corresponding to each area target time period of each paper; calculating the humidity uniformity degree index of each paper according to the dry and wet state index corresponding to each area of each paper;
judging whether the humidity uniformity degree index of each paper meets a set range, if so, judging that the humidity of the corresponding paper is uniform, and classifying the paper with uniform humidity into a humidity uniformity group; calculating the difference index between each paper in the humidity uniformity group and the standard paper according to the light transmittance average value of each paper in the humidity uniformity group at the target moment and the gray level average value of the pixel points in the gray level image of each paper at the target moment; taking the air drying temperature corresponding to the paper with the minimum difference index of the standard paper as the optimal air drying temperature, and taking the air drying wind direction corresponding to the paper with the minimum difference index of the standard paper as the optimal air drying wind direction; and adjusting the air dryer by using the optimal air drying temperature and the optimal air drying direction.
Preferably, the calculating the light transmittance difference index of the target time period of the area according to the light transmittance corresponding to each time in the target time period of the area includes:
calculating the sum of the light transmittances of the first half time period in the target time period of the area, and recording the sum of the light transmittances of the first half time period as a first light transmittance;
calculating the sum of the light transmittances of the second half time period in the target time period of the region, and recording the sum of the light transmittances of the second half time period as a second light transmittance;
and calculating the ratio of the first light transmittance to the second light transmittance, and taking the ratio as a light transmittance difference index of the target time period in the area.
Preferably, the calculating the humidity uniformity index of each paper sheet according to the dry and wet state index corresponding to each area of each paper sheet includes:
for any paper:
the moisture uniformity index of the paper is calculated by the following formula:
wherein,is an index of the degree of uniformity of the moisture of the paper,is the paperThe dry and wet state indexes corresponding to the areas,is the index of the dry and wet state corresponding to the central area of the paper,the number of zones is divided for the sheet.
Preferably, the calculating the dry-wet state index corresponding to each area of each paper according to the stability index and the transmittance difference index of the vibration amplitude corresponding to each area of each paper in the target time period includes:
for any area of any sheet:
and calculating the product of the stability index of the vibration amplitude corresponding to the target time period of the area and the light transmittance difference index, and taking the product as the dry and wet state index corresponding to the area.
Preferably, it is determined whether the moisture uniformity index of each sheet satisfies a set range, and if not, it is determined that the corresponding sheet moisture is not uniform.
Preferably, the difference index between each paper in the humidity uniformity group and the standard paper is calculated by the following formula:
wherein,is the difference index between any paper in the humidity uniformity group and the standard paper,is a light transmittance coefficient of the light emitting element,is a coefficient of the mean value of the gray scale,is the average value of the light transmittance of the paper at the target moment,is the average value of the gray levels of the pixel points in the gray level image of the paper at the target moment,is the light transmittance of the standard paper sheet,is the average value of the gray levels of the pixel points in the gray level image of the standard paper,is the base of the natural logarithm.
Preferably, the calculating a stability index of the vibration amplitude corresponding to the target time period of the area according to the vibration amplitude of each time in the target time period of the area includes:
calculating the variance of the vibration amplitude in the target time period according to the vibration amplitude of each moment in the target time period of the region;
and taking the variance as a stability index of the vibration amplitude corresponding to the target time period in the region.
The invention has the following beneficial effects: the invention aims to obtain the optimal air drying temperature and the optimal air drying speed when the air dryer dries paper, so that the air dryer is used for drying each test paper, and different temperatures and different wind directions are respectively given to different paper; considering that when the paper is dried by the dryer, the setting of the drying temperature and the drying speed may be unreasonable, so that the drying speeds of different areas of the same paper are different, the invention divides each paper into a set number of areas, and for any area of any paper: and calculating the dry and wet state index corresponding to the region according to the vibration amplitude and the light transmittance of each moment in the target time period of the region. Then, according to the dry and wet state indexes corresponding to all areas of all paper, calculating the humidity uniformity degree index of all paper; if the humidity of each area of a certain paper is not uniform, the air drying temperature and the air drying direction of the air dryer are unreasonably set; if the humidity of each area of a certain piece of paper is uniform, the set temperature and wind direction cannot be reasonable, and whether the temperature and wind direction are reasonable or not needs to be further judged according to the difference index of the paper and the standard paper, and the optimal temperature and wind direction are selected from the temperature and wind direction. Specifically, paper with a humidity uniformity degree index meeting a set range is classified into a humidity uniformity group, and a difference index between each paper in the humidity uniformity group and standard paper is calculated according to the light transmittance of each paper in the humidity uniformity group and the gray average value of pixel points in a gray image of each paper; and taking the air drying temperature corresponding to the paper with the minimum standard paper difference index as the optimal air drying temperature, and taking the air drying wind direction corresponding to the paper with the minimum standard paper difference index as the optimal air drying wind direction. The method is particularly suitable for the intelligent adjustment of a specific function, particularly an air dryer, and auxiliary design and processing are carried out by utilizing a computer. The method can be suitable for internet data services such as big data resource services, databases and cloud database services, and can be configured into related cloud computing software, cloud fusion application operation support platform software and the like. According to the paper drying method, the optimal air drying temperature and the optimal air drying direction are obtained, and when the air dryer is used for air drying the paper subsequently, the air dryer is directly adjusted to the optimal air drying temperature and the optimal air drying direction to dry the paper, so that the paper quality is ensured, and the air drying efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an air dryer intelligent adjustment method based on optical detection provided by the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following describes in detail an air dryer intelligent adjustment method based on optical detection according to the present invention with reference to the accompanying drawings and preferred embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the intelligent air dryer adjustment method based on optical detection in detail with reference to the accompanying drawings.
Air dryer intelligent adjusting method embodiment based on optical detection
The existing method has the problem of unreasonable wind direction and temperature setting when drying paper. In order to solve the above problem, the present embodiment proposes an air dryer intelligent adjustment method based on optical detection, and as shown in fig. 1, the air dryer intelligent adjustment method based on optical detection of the present embodiment includes the following steps:
step S1, drying each test paper by using an air dryer, and respectively giving different paper different temperatures and wind directions; dividing each paper into a set number of areas; for any area of any sheet: calculating the stability index of the vibration amplitude corresponding to the target time period of the area according to the vibration amplitude of each time in the target time period of the area; and calculating the light transmittance difference index of the target time period of the area according to the light transmittance corresponding to each moment in the target time period of the area.
In the paper production process, the water content in the pulp is a necessary condition for combining plant fibers with each other to form paper, and if the water is not used as a medium, the fibers cannot be combined into the paper, but the water also has adverse effects on the performance of the paper, so that the drying of the paper is an essential link. Considering that moisture also has a great influence on brittleness and folding endurance of paper, too low moisture increases the rigidity of paper to become brittle, and at the same time, the ability of fibers to slip and disperse stress is reduced, resulting in a great reduction in flexibility and folding endurance of paper. Therefore, the paper should have a proper moisture content at the optimum performance so that the paper should not be over-dried or under-dried, and thus it is necessary to determine proper air drying parameters according to the paper's variety and performance characteristics.
This embodiment utilizes the air dryer to carry out the drying to the paper in the production process, considers that the temperature and the air-dry wind direction of air dryer may set up unreasonablely among the paper drying process, when temperature and wind direction set up unreasonablely, probably can make paper humidity inhomogeneous, influences the quality of finished product, also may influence air-dry efficiency. In order to reduce the occurrence of this kind of situation, this embodiment utilizes a plurality of air dryers to carry out drying process to each test paper respectively, and the water content under each test paper initial condition differs little, sets up different air-dry temperatures and air-dry wind direction to the air dryer that the paper that the difference is different, obtains optimum air-dry temperature and optimum air-dry wind direction according to the humidity level that each paper air-dried after the settlement time, when follow-up air-dries the paper again, directly adjusts the air dryer to optimum temperature and optimum wind direction and treats air-dry the paper and air-dries.
In the process of utilizing the air dryer to air-dry the paper, influenced by wind power, the paper can produce certain vibration, and the paper is when containing moisture, and the tensile force of paper is less relatively, can lead to the paper to relax when moist than dry like this. This embodiment sets up different air-dry temperatures and air-dries wind direction, air-dries the paper of difference, and it is long to be when air-dryingIn this embodimentThe standard air drying process time in the paper making process.
Considering that the humidity of different areas of the same paper can be different due to unreasonable parameter setting in the air drying process, each paper is divided into 5 areas with the same size, wherein one area is positioned in the center of the paper, and the other 4 areas are positioned at the periphery of the paper. In a specific application, the number of areas divided by the paper is set according to specific conditions.
For any area of any sheet: the laser range finder is arranged above or below the area of the paper, then the laser range finder is used for collecting the vibration amplitude of each time in the target time period of the area, the vibration amplitude is collected every 2s, and the target time period is the distance between the laser range finder and the target time period in the embodimentThe last time in the time interval is not greater than the set of historical acquisition times of the set time interval, and the set time interval is two minutes in the embodiment, so the target time period set in the embodiment isFor the last two minutes of the day, wherein,. In a specific application, the acquisition frequency and the time interval are set according to specific conditions. Then constructing a vibration amplitude sequence corresponding to the time period according to the vibration amplitude of each moment in the target time period of the regionWhereinfor the vibration amplitude at the 1 st time instant within the target time period of the region,for the vibration amplitude at the 2 nd time within the target time period of the region,the vibration amplitude at the 60 th time point in the target time period of the region. Then, according to the vibration amplitude of each time, calculating the stability index of the vibration amplitude corresponding to the target time period of the region, namely
Wherein,the stability index of the vibration amplitude corresponding to the target time period of the region,is the average of the vibration amplitudes over the target time period,is the number of acquisitions within a target time period,and the vibration amplitude corresponding to the ith acquisition time in the target time period.
Considering that the larger the water content of the paper is, the greater the light transmittance of the paper is, the present embodiment collects the light transmittance of each area of the paper by using a transmittance meter, and for any area of any paper: constructing a light transmittance sequence F = last eye corresponding to the target time period of the areaAnd (c) the step of (c) in which,the transmittance corresponding to the region at the 1 st acquisition time in the target time period,the transmittance corresponding to the area at the 2 nd acquisition time in the target time period,the transmittance of the area corresponds to the 60 th acquisition moment in the target time period. The embodiment calculates the sum of the light transmittances of the first half time period in the target time period of the areaI.e. bySimultaneously calculating the sum of the light transmittances of the second half time period in the target time period of the regionI.e. byThen calculating the sum of the light transmittances of the first half periodAnd sum of light transmittance of the latter half periodRatio ofThe ratio is calculatedAs an indicator of the difference in light transmittance for the target time period for that region.
Step S2, calculating the dry and wet state indexes corresponding to each area of each paper according to the stability index and the light transmittance difference index of the vibration amplitude corresponding to each area target time period of each paper; and calculating the humidity uniformity degree index of each paper according to the dry and wet state index corresponding to each area of each paper.
Because the paper is dry and wet, the vibration amplitude and the light transmittance of the paper are different, so the embodiment calculates the dry and wet state index corresponding to each area of each paper based on the stability index and the light transmittance difference index of the vibration amplitude, namely:
wherein,is the index of the dry and wet state corresponding to any area of any paper,the stability index of the vibration amplitude corresponding to the target time period of the region,and the light transmittance difference index corresponding to the target time period of the area is obtained.
During the drying process of the paper, the situation that the humidity of different areas is inconsistent can occur, and once the situation occurs, the temperature and the wind direction are set unreasonably; if the humidity of each area of the same paper is uniform, the temperature and the wind direction cannot be reasonably set, the situation that the temperature is too low may exist, the drying efficiency is reduced due to too low temperature setting, and the benefit of a factory is reduced. Therefore, the present embodiment calculates the humidity uniformity index of each sheet, i.e. the index of the humidity uniformity of each sheet according to the dry-wet status index corresponding to each area of each sheet
Wherein,is an index of the degree of uniformity of the humidity of any paper,is the paper sheetThe dry and wet state indexes corresponding to the areas,is the index of the dry and wet state corresponding to the central area of the paper,the number of zones is divided for the sheet. In this embodiment, since the sheet is divided into 5 areas, and the 5 th area is the central area of the sheet, when the humidity uniformity degree index is calculated, the index of the dry-wet state corresponding to the 5 th area (central area of the sheet) is used as the denominator,has a value of 5, in a specific application, the denominator andthe value of (b) is adjusted according to the specific situation and is not limited to the method provided in the present embodiment.
Step S3, judging whether the humidity uniformity degree index of each paper meets a set range, if so, judging that the humidity of the corresponding paper is uniform, and classifying the paper with uniform humidity into a humidity uniformity group; calculating the humidity index of each paper in the humidity uniformity group according to the light transmittance of each paper at the target moment in the humidity uniformity group and the gray average value of the pixel points in the gray image of each paper at the target moment; and taking the air drying temperature corresponding to the paper with the minimum humidity index in the humidity uniform group as the optimal air drying temperature, taking the air drying wind direction corresponding to the paper with the minimum humidity index in the humidity uniform group as the optimal air drying wind direction, and adjusting the air dryer by utilizing the optimal air drying temperature and the optimal air drying wind direction.
In this embodiment, the absolute value of the difference between the index of the degree of uniformity of humidity of each sheet and 1 is calculated, and the threshold is set toJudging whether the absolute value is less thanIf the humidity of the paper is smaller than the humidity of the paper, judging that the humidity of the corresponding paper is uniform, and classifying the paper meeting the requirement (uniform humidity) into one type, namely a uniform humidity group; if the humidity is not less than the predetermined humidity, the humidity of the corresponding paper is judged to be non-uniform.
The embodiment next finds the optimal airing temperature and the optimal airing wind direction from the humidity uniformity group. Considering that the gray value of a pixel point in a paper gray image is slightly smaller than that of the pixel point in the paper gray image when the paper is wet; since the transmittance of the paper is slightly higher when the paper is wet than when the paper is dry, the humidity index of each paper is obtained based on this. Specifically, a gray level image of each paper target moment in the humidity uniformity group is collected, wherein the target moment isThe last acquisition time. For any paper: calculating the gray average value of the pixel points in the gray image according to the gray value of each pixel point in the gray image, comparing the gray average value of the pixel points in the gray image with the gray average value of the pixel points in the standard dried paper, and if the difference between the gray average value of the pixel points in the gray image and the standard is smaller, indicating that the corresponding temperature and wind direction of the paper are better when the paper is air-dried; meanwhile, according to the light transmittance of each area of the paper target moment, calculating the mean value of the light transmittance of the paper target moment, comparing the mean value of the light transmittance of the paper target moment with the light transmittance of standard paper after drying is completed, and if the difference between the mean value of the light transmittance of the paper and the standard is smaller, it is better to explain the corresponding temperature and wind direction when the paper is air-dried, so that the difference index between the paper and the standard paper is calculated according to the gray level mean value of the pixel point of the paper target moment and the mean value of the light transmittance, namely:
wherein,is an index of the difference between any paper and standard paper,is a light transmittance coefficient of the light emitting element,is a coefficient of the mean value of the gray scale,is the average of the light transmittance at the target moment of the paper,is the light transmittance of the standard paper sheet,is the average value of the gray levels of the pixel points in the gray level image of the paper at the target moment,is the average value of the gray levels of the pixel points in the gray level image of the standard paper,is the base of the natural logarithm.
The smaller the difference between the paper and the standard paper, the more reasonable the parameters set for the paper when dry. The embodiment acquires the air drying temperature corresponding to the paper with the minimum difference index of the standard paper in the humidity uniform group, and takes the air drying temperature as the optimal air drying temperature when the air dryer dries the paper; and simultaneously acquiring the air drying wind direction corresponding to the paper with the minimum difference index of the standard paper in the humidity uniform group, and taking the air drying wind direction as the optimal air drying wind direction when the air dryer dries the paper. When the air dryer is subsequently reused for drying the paper, the air dryer can be directly adjusted to the optimal air drying temperature and the optimal air drying wind direction, the paper is dried by utilizing the optimal air drying temperature and the optimal air drying wind direction, and the air drying efficiency is improved while the paper quality is ensured.
The purpose of this embodiment is to obtain the optimal air-drying temperature and the optimal air-drying speed when the air dryer dries the paper, so that the air dryer is first used to dry each test paper, and different temperatures and different wind directions are respectively given to different papers; considering that when the air dryer dries the paper, the setting of the air drying temperature and the air drying speed may be unreasonable, so that the air drying speed of different areas of the same paper is different, in the embodiment, each paper is divided into the areas with the set number, and for any area of any paper: and calculating the dry and wet state index corresponding to the region according to the vibration amplitude and the light transmittance of each moment in the target time period of the region. Then, according to the dry and wet state indexes corresponding to the areas of the paper, calculating the humidity uniformity degree index of the paper; if the humidity of each area of a certain paper is not uniform, the air drying temperature and the air drying direction of the air dryer are unreasonably set; if the humidity of each area of a certain piece of paper is uniform, the set temperature and wind direction cannot be reasonable, and whether the temperature and wind direction are reasonable or not needs to be further judged according to the difference index of the paper and the standard paper, and the optimal temperature and wind direction are selected from the temperature and wind direction. Specifically, paper with a humidity uniformity degree index meeting a set range is classified into a humidity uniformity group, and a difference index between each paper in the humidity uniformity group and standard paper is calculated according to the light transmittance of each paper in the humidity uniformity group and the gray average value of pixel points in a gray image of each paper; and taking the air drying temperature corresponding to the paper with the minimum standard paper difference index as the optimal air drying temperature, and taking the air drying wind direction corresponding to the paper with the minimum standard paper difference index as the optimal air drying wind direction. The method is particularly suitable for the intelligent adjustment of a specific function, particularly an air dryer, and auxiliary design and processing are carried out by utilizing a computer. The method can be suitable for internet data services such as big data resource services, databases and cloud database services, and can be configured into related cloud computing software, cloud fusion application operation support platform software and the like. The embodiment obtains the optimal air drying temperature and the optimal air drying direction, when the air dryer is subsequently reused to air dry the paper, the air dryer is directly adjusted to the optimal air drying temperature and the optimal air drying direction to dry the paper, and the air drying efficiency is improved while the quality of the paper is ensured.
It should be noted that: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. An air dryer intelligent adjustment method based on optical detection is characterized by comprising the following steps:
drying each test paper by using an air dryer, and respectively giving different temperatures and different wind directions to different papers; dividing each paper into a set number of areas; for any area of any sheet: calculating the stability index of the vibration amplitude corresponding to the target time period of the area according to the vibration amplitude of each time in the target time period of the area; calculating the light transmittance difference index of the target time period of the area according to the light transmittance corresponding to each moment in the target time period of the area;
calculating dry and wet state indexes corresponding to all areas of each paper according to the stability index and the light transmittance difference index of the vibration amplitude corresponding to the target time period of each area of each paper; calculating the humidity uniformity degree index of each paper according to the dry and wet state index corresponding to each area of each paper;
judging whether the humidity uniformity degree index of each paper meets a set range, if so, judging that the humidity of the corresponding paper is uniform, and classifying the paper with uniform humidity into a humidity uniformity group; calculating the difference index between each paper in the humidity uniformity group and standard paper according to the light transmittance average value of each paper target moment in the humidity uniformity group and the gray level average value of pixel points in the gray level image of each paper target moment; taking the air drying temperature corresponding to the paper with the minimum difference index of the standard paper as the optimal air drying temperature, and taking the air drying wind direction corresponding to the paper with the minimum difference index of the standard paper as the optimal air drying wind direction; and adjusting the air dryer by using the optimal air drying temperature and the optimal air drying direction.
2. The air dryer intelligent adjusting method based on optical detection as claimed in claim 1, wherein the calculating of the transmittance difference index of the target time period of the area according to the transmittance corresponding to each time in the target time period of the area comprises:
calculating the sum of the light transmittances of the first half time period in the target time period of the area, and recording the sum of the light transmittances of the first half time period as a first light transmittance;
calculating the sum of the light transmittances of the second half time period in the target time period of the region, and recording the sum of the light transmittances of the second half time period as a second light transmittance;
and calculating the ratio of the first light transmittance to the second light transmittance, and taking the ratio as a light transmittance difference index of the target time period in the area.
3. The intelligent air dryer adjusting method based on optical detection as claimed in claim 1, wherein the calculating the humidity uniformity degree index of each paper according to the dry and wet state index corresponding to each area of each paper comprises:
for any paper:
the moisture uniformity index of the paper is calculated by the following formula:
4. The intelligent air dryer adjusting method based on optical detection as claimed in claim 1, wherein the calculating of the dry and wet state index corresponding to each area of each paper according to the stability index and the transmittance difference index of the vibration amplitude corresponding to each area target time period of each paper comprises:
for any area of any sheet:
and calculating the product of the stability index of the vibration amplitude corresponding to the target time period of the area and the light transmittance difference index, and taking the product as the dry and wet state index corresponding to the area.
5. The intelligent air dryer adjusting method based on optical detection as claimed in claim 1, wherein whether the humidity uniformity degree index of each paper meets the set range is judged, and if not, the corresponding paper humidity is judged to be non-uniform.
6. The intelligent air dryer adjusting method based on optical detection as claimed in claim 1, wherein the difference index of each paper in the humidity uniformity group from the standard paper is calculated by using the following formula:
wherein,is the difference index between any paper in the humidity uniformity group and the standard paper,is a light transmittance coefficient of the light emitting element,is a mean value system of gray levelsThe number of the first and second groups is,is the average value of the light transmittance of the paper at the target moment,is the average value of the gray levels of the pixel points in the gray level image of the paper at the target moment,is the light transmittance of the standard paper sheet,is the average value of the gray levels of the pixel points in the gray level image of the standard paper,is the base of the natural logarithm.
7. The intelligent air dryer adjusting method based on optical detection as claimed in claim 1, wherein the calculating the stability index of the vibration amplitude corresponding to the target time period of the area according to the vibration amplitude of each time in the target time period of the area comprises:
calculating the variance of the vibration amplitude in the target time period according to the vibration amplitude of each moment in the target time period of the region;
and taking the variance as a stability index of the vibration amplitude corresponding to the target time period in the region.
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