Intelligent air-drying machine adjusting method based on optical detection

Abstract

This invention relates to the field of electronic digital data processing technology, specifically to an intelligent adjustment method for air dryers based on optical detection. The method includes: drying various test papers using an air dryer; firstly, calculating the stability index of vibration amplitude and the transmittance difference index for each region of each paper; then, calculating the humidity uniformity index for each paper based on the stability index of vibration amplitude and the transmittance difference index for each region of each paper; determining whether the humidity uniformity index meets a set range; if it does, determining that the corresponding paper has uniform humidity; calculating the difference index between each paper in the humidity uniformity group and the standard paper; and taking the drying temperature of the paper with the smallest difference index as the optimal drying temperature and the drying direction of that paper as the optimal drying direction. This method is particularly suitable for a specific function, specifically intelligent adjustment of an air dryer. This invention ensures paper quality while improving drying efficiency.

Description

Technical Field

[0001] This invention relates to the field of electronic digital data processing technology, and more specifically to an intelligent adjustment method for air dryers based on optical detection. Background Technology

[0002] my country is a major paper-producing country, and paper is an indispensable item in people's lives and work. In the paper production process, the water content in the pulp is a necessary condition for the plant fibers to bond together and form paper. Without the medium of water, the fibers cannot bond into paper; therefore, paper drying is an essential step. Air dryers are often used for drying paper. Most paper drying machines use hot air drying, and during operation, they are mostly used with a timer and temperature control. While this method is convenient, it can have issues with improper airflow settings. Improper airflow settings can lead to uneven paper humidity, affecting paper quality and potentially causing wrinkles. Similarly, improper temperature settings can also cause problems. If the temperature is set too high, the paper will be too dry and brittle; if the temperature is set too low, the drying efficiency will be low. Summary of the Invention

[0003] To address the problem of unreasonable airflow and temperature settings in existing paper drying methods, the present invention aims to provide an intelligent adjustment method for air dryers based on optical detection. The specific technical solution adopted is as follows:

[0004] This invention provides an intelligent adjustment method for a dryer based on optical detection, the method comprising the following steps:

[0005] The test papers were dried using a dryer, with different temperatures and airflow directions applied to each paper. Each paper was divided into a set number of regions. For any region of any paper, the stability index of the vibration amplitude corresponding to the target time period was calculated based on the vibration amplitude at each moment within the target time period. The transmittance difference index of the target time period within the target time period was calculated based on the transmittance at each moment within the target time period.

[0006] Based on the stability index of vibration amplitude and the light transmittance difference index of each region of each paper during the target time period, the dry and wet state index of each region of each paper is calculated; based on the dry and wet state index of each region of each paper, the humidity uniformity index of each paper is calculated.

[0007] Determine if the humidity uniformity index of each paper meets the set range. If it does, the corresponding paper is considered to have uniform humidity, and the paper with uniform humidity is classified into a humidity uniform group. Calculate the difference index between each paper in the humidity uniform group and the standard paper based on the average transmittance of each paper at the target time and the average grayscale value of each pixel in the grayscale image of each paper at the target time. Take the air-drying temperature corresponding to the paper with the smallest difference index from the standard paper as the optimal air-drying temperature, and the air-drying direction corresponding to the paper with the smallest difference index from the standard paper as the optimal air-drying direction. Adjust the air dryer using the optimal air-drying temperature and optimal air-drying direction.

[0008] Preferably, the step of calculating the transmittance difference index of the target time period in the region based on the transmittance at each time point within the target time period includes:

[0009] Calculate the sum of the transmittance of the first half of the time period within the target time period of the area, and record the sum of the transmittance of the first half of the time period as the first transmittance.

[0010] Calculate the sum of the transmittance of the second half of the target time period in the region, and record the sum of the transmittance of the second half of the time period as the second transmittance.

[0011] Calculate the ratio of the first transmittance to the second transmittance, and use the ratio as an indicator of transmittance difference in the target time period of the region.

[0012] Preferably, the step of calculating the humidity uniformity index of each paper based on the dry and wet state index corresponding to each region of each paper includes:

[0013] For any given sheet of paper:

[0014] The paper's moisture uniformity index is calculated using the following formula:

[0015]

[0016] in, This is an indicator of the paper's moisture uniformity. For the first page of this paper The corresponding dry and wet conditions index for each region This refers to the dry / wet condition index corresponding to the central area of ​​the paper. The number of areas to divide the paper into.

[0017] Preferably, the step of calculating the dry / wet state index corresponding to each region of each paper based on the stability index of vibration amplitude and the light transmittance difference index corresponding to the target time period of each region of each paper includes:

[0018] For any area of ​​any sheet of paper:

[0019] Calculate the product of the stability index of vibration amplitude and the transmittance difference index corresponding to the target time period in the region, and use the product as the dry and wet state index corresponding to the region.

[0020] Preferably, it is determined whether the humidity uniformity index of each paper meets the set range. If it does not meet the set range, the corresponding paper is determined to have uneven humidity.

[0021] Preferably, the difference index between each paper in the humidity uniformity group and the standard paper is calculated using the following formula:

[0022]

[0023] in, This represents the difference between any paper in the humidity uniformity group and the standard paper. The transmittance coefficient, This is the grayscale mean coefficient. This represents the average light transmittance of the paper at the target time. This represents the average grayscale value of the pixels in the grayscale image of the paper at the target time. The transmittance of standard paper. This represents the average grayscale value of the pixels in a grayscale image of standard paper. is the base of the natural logarithm.

[0024] Preferably, the step of calculating the stability index of the vibration amplitude corresponding to the target time period in the region based on the vibration amplitude at each moment within the target time period includes:

[0025] Calculate the variance of the vibration amplitude within the target time period based on the vibration amplitude at each moment within the target time period in the region.

[0026] The variance is used as a stability index of the vibration amplitude corresponding to the target time period in the region.

[0027] The present invention has the following beneficial effects: The purpose of the present invention is to obtain the optimal drying temperature and optimal drying speed when drying paper in an air dryer. Therefore, the air dryer is first used to dry each test paper, and different temperatures and air directions are given to different papers. Considering that the drying temperature and drying speed settings may be unreasonable when the air dryer dries paper, resulting in different drying speeds in different areas of the same paper, the present invention divides each paper into a set number of areas. For any area of ​​any paper, the corresponding wet and dry state index is calculated based on the vibration amplitude and light transmittance of the area at each moment within the target time period. Then, the present invention calculates the humidity uniformity index of each paper based on the wet and dry state index corresponding to each area of ​​each paper. If the humidity of each area of ​​a certain paper is not uniform, it indicates that the drying temperature and air direction settings of the air dryer are unreasonable. If the humidity of each area of ​​a certain paper is uniform, it does not necessarily mean that the set temperature and air direction are reasonable. It is necessary to further judge whether the temperature and air direction settings are reasonable based on the difference index between the paper and the standard paper, and select the optimal temperature and air direction. Specifically, papers whose humidity uniformity index meets the set range are grouped into a humidity uniformity group. Based on the light transmittance of each paper in the humidity uniformity group and the average grayscale value of pixels in the grayscale image of each paper, the difference index between each paper in the humidity uniformity group and the standard paper is calculated. The drying temperature corresponding to the paper with the smallest difference index from the standard paper is taken as the optimal drying temperature, and the drying direction corresponding to the paper with the smallest difference index from the standard paper is taken as the optimal drying direction. This method is particularly suitable for specific functions, specifically intelligent adjustment of air dryers, and utilizes computer-aided design and processing. This method can be applied to Internet data services such as big data resource services, databases, and cloud database services, and can be configured as related cloud computing software, cloud-integrated application runtime support platform software, etc. This invention obtains the optimal drying temperature and optimal drying direction. When using an air dryer to dry paper subsequently, the air dryer can be directly adjusted to the optimal drying temperature and optimal drying direction to dry the paper, ensuring paper quality while improving drying efficiency. Attached Figure Description

[0028] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 The flowchart illustrates an intelligent adjustment method for a dryer based on optical detection, as provided by this invention. Detailed Implementation

[0030] To further illustrate the technical means and effects adopted by the present invention to achieve the intended purpose, the following detailed description of an intelligent adjustment method for a dryer based on optical detection, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0031] Unless otherwise defined, 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 pertains.

[0032] The following description, in conjunction with the accompanying drawings, details a specific scheme for an intelligent adjustment method for a dryer based on optical detection provided by the present invention.

[0033] Example of an intelligent adjustment method for air dryers based on optical detection

[0034] Existing methods for drying paper suffer from issues with improper airflow and temperature settings. To address these problems, this embodiment proposes an intelligent adjustment method for air dryers based on optical detection, such as... Figure 1 As shown, the intelligent adjustment method for a dryer based on optical detection in this embodiment includes the following steps:

[0035] Step S1: Dry each test paper using a dryer, applying different temperatures and air directions to each paper; divide each paper into a set number of regions; for any region of any paper: calculate the stability index of the vibration amplitude corresponding to the target time period of that region based on the vibration amplitude at each moment within the target time period of that region; calculate the transmittance difference index of that region within the target time period based on the transmittance at each moment within the target time period of that region.

[0036] In the paper production process, the water content in the pulp is essential for the bonding of plant fibers to form paper. Without the medium of water, fibers cannot bond into paper. However, moisture also negatively impacts paper properties, making paper drying an indispensable step. Considering the significant influence of moisture on paper's brittleness and folding endurance, excessive moisture increases paper rigidity and brittleness. Simultaneously, it reduces the ability of fibers to slip and distribute stress, resulting in a substantial decrease in flexibility and folding endurance. Therefore, paper should have an appropriate moisture content to achieve optimal performance. It should neither be over-dried nor under-dried, and appropriate air-drying parameters need to be determined based on the paper type and its performance characteristics.

[0037] This embodiment utilizes an air dryer to dry paper during the production process. Considering that the temperature and airflow direction of the air dryer may be set improperly during the paper drying process, uneven paper humidity may occur, affecting the quality of the finished product and potentially impacting drying efficiency. To mitigate this, this embodiment uses multiple air dryers to dry different test papers. The initial moisture content of each test paper is similar. Different drying temperatures and airflow directions are set for different types of paper. The optimal drying temperature and direction are determined based on the humidity level of each paper after a set drying time. Subsequent paper drying processes directly adjust the air dryer to the optimal temperature and direction.

[0038] During the air-drying process of paper using a dryer, the paper vibrates due to the wind. When the paper contains moisture, its tension is relatively low, resulting in the paper being looser when wet than when dry. This embodiment sets different drying temperatures and airflow directions to dry different types of paper, with all drying times being... In this embodiment This refers to the standard air-drying process time in papermaking.

[0039] Considering that improper parameter settings during the air-drying process may result in varying humidity levels in different areas of the same sheet of paper, each sheet is divided into five equal-sized regions, with one region located in the center and the other four regions around the perimeter. In practical applications, the number of regions will be determined based on specific circumstances.

[0040] For any area of ​​any piece of paper: install a laser rangefinder above or below that area of ​​the paper, and then use the laser rangefinder to collect the vibration amplitude of that area at each moment within a target time period, collecting data once every 2 seconds. In this embodiment, the target time period is the distance... The target time period is the set of historical data collection times whose last moment is not greater than a set time interval. In this embodiment, the set time interval is two minutes. In the last two minutes, In practical applications, the sampling frequency and time interval are set according to specific circumstances. Then, a vibration amplitude sequence corresponding to that time period is constructed based on the vibration amplitude at each moment within the target time period in that area. ,in, This represents the vibration amplitude at the first moment within the target time period in this region. This represents the vibration amplitude at the second moment within the target time period in this region. This represents the vibration amplitude at time 60 within the target time period for this region. Next, based on the vibration amplitudes at each time point, the stability index of the vibration amplitude corresponding to the target time period for this region is calculated, i.e.

[0041]

[0042] in, This serves as a stability index for the vibration amplitude within the target time period in this region. The average amplitude of vibration over the target time period. This represents the number of times data was collected within the target time period. The vibration amplitude corresponds to the i-th acquisition moment within the target time period.

[0043] Considering that the higher the moisture content of the paper, the greater its light transmittance, this embodiment uses a transmittance meter to collect the light transmittance of different regions of the paper. For any region of any paper: a transmittance sequence F={ for the target time period of that region is constructed. },in, The transmittance of this area at the first acquisition time within the target time period. The transmittance of this area at the second sampling time within the target time period. The transmittance of this area at the 60th acquisition time within the target time period. This embodiment calculates the sum of the transmittance of this area during the first half of the target time period. ,Right now Simultaneously, calculate the sum of the light transmittance of the second half of the target time period in this area. ,Right now Then calculate the sum of the transmittance for the first half of the time period. The sum of the transmittance in the second half of the time period ratio The ratio As an indicator of the difference in light transmittance in the target time period of the region.

[0044] Step S2: Calculate the dry and wet state index corresponding to each region of each paper based on the stability index of vibration amplitude and the light transmittance difference index corresponding to the target time period of each region of each paper; calculate the humidity uniformity index of each paper based on the dry and wet state index corresponding to each region of each paper.

[0045] Since the vibration amplitude and light transmittance of paper differ when it is dry and wet, this embodiment calculates the dry and wet state indices corresponding to each region of each paper based on the stability index of vibration amplitude and the light transmittance difference index, namely:

[0046]

[0047] in, This refers to the dry / wet state index corresponding to any area of ​​any paper. This serves as a stability index for the vibration amplitude within the target time period in this region. This is the transmittance difference index for the target time period in this region.

[0048] During the paper drying process, inconsistent humidity levels may occur in different areas. This indicates that the temperature and airflow settings are inappropriate. Conversely, uniform humidity across the same sheet of paper does not necessarily indicate optimal temperature and airflow settings; it may suggest that the temperature is set too low. Low temperatures reduce drying efficiency and factory profits. Therefore, this embodiment calculates the humidity uniformity index for each sheet based on its corresponding wet and dry state indicators for each area.

[0049]

[0050] in, This is an indicator of the uniformity of humidity on any given sheet of paper. For the first page of this paper The corresponding dry and wet conditions index for each region This refers to the dry / wet condition index corresponding to the central area of ​​the paper. This refers to the number of regions the paper is divided into. In this embodiment, the paper is divided into 5 regions, with the 5th region being the central region. Therefore, when calculating the humidity uniformity index, the wet / dry state index corresponding to the 5th region (the central region of the paper) is used as the denominator. The value is 5. In practical applications, the denominator and The value of is adjusted according to specific circumstances and is not limited to the method provided in this embodiment.

[0051] Step S3: Determine whether the humidity uniformity index of each paper meets the set range. If it does, determine that the corresponding paper has uniform humidity and classify the paper with uniform humidity into a humidity uniform group. Calculate the humidity index of each paper in the humidity uniform group based on the light transmittance of each paper at the target time and the average gray value of the pixels in the grayscale image of each paper at the target time. Take the air-drying temperature corresponding to the paper with the lowest humidity index in the humidity uniform group as the optimal air-drying temperature, and take the air-drying direction corresponding to the paper with the lowest humidity index in the humidity uniform group as the optimal air-drying direction. Adjust the air dryer using the optimal air-drying temperature and optimal air-drying direction.

[0052] This embodiment calculates the absolute value of the difference between the humidity uniformity index of each paper and 1, and sets a threshold value of 1. Determine whether the absolute value is less than If the humidity is less than 1, the corresponding paper is judged to have uniform humidity, and the paper that meets the requirement (uniform humidity) is divided into one category, namely the uniform humidity group; if the humidity is greater than or equal to 1, the corresponding paper is judged to have uneven humidity.

[0053] This embodiment then identifies the optimal drying temperature and direction from the group with uniform humidity. Considering that the grayscale values ​​of pixels in the grayscale image of wet paper are slightly lower than when dry, and the light transmittance of wet paper is slightly higher than when dry, this embodiment obtains the humidity index for each type of paper based on these factors. Specifically, grayscale images of each type of paper in the group with uniform humidity are acquired at a target time, where the target time is... The last acquisition time in the process. For any sheet of paper: Based on the grayscale values ​​of each pixel in the grayscale image, calculate the average grayscale value of the pixels in the grayscale image. Compare the average grayscale value of the pixels in the grayscale image with the average grayscale value of the pixels in the standard dried paper. The smaller the difference between the average grayscale value of the pixels in the grayscale image and the standard, the better the temperature and wind direction during the drying process of the paper. At the same time, based on the light transmittance of each region of the paper at the target time, calculate the average light transmittance of the paper at the target time. Compare the average light transmittance of the paper at the target time with the light transmittance of the standard dried paper. The smaller the difference between the average light transmittance of the paper and the standard, the better the temperature and wind direction during the drying process of the paper. Therefore, in this embodiment, based on the average grayscale value and the average light transmittance of the pixels at the target time, calculate the difference index between the paper and the standard paper, that is:

[0054]

[0055] in, This represents the difference between any given sheet of paper and a standard sheet of paper. The transmittance coefficient, This is the grayscale mean coefficient. This represents the average transmittance of the paper at the target time. The transmittance of standard paper. This represents the average grayscale value of the pixels in the grayscale image of the paper at the target time. This represents the average grayscale value of the pixels in a grayscale image of standard paper. is the base of the natural logarithm.

[0056] The smaller the difference between the paper and the standard paper, the more reasonable the parameters set during paper drying. This embodiment obtains the air-drying temperature corresponding to the paper with the smallest difference index from the standard paper in the humidity uniformity group, and uses this air-drying temperature as the optimal air-drying temperature for the paper drying machine. Simultaneously, it obtains the air-drying direction corresponding to the paper with the smallest difference index from the standard paper in the humidity uniformity group, and uses this air-drying direction as the optimal air-drying direction for the paper drying machine. When using the air-dryer to dry the paper subsequently, the air-dryer can be directly adjusted to the optimal air-drying temperature and direction to dry the paper, ensuring paper quality while improving drying efficiency.

[0057] The purpose of this embodiment is to obtain the optimal drying temperature and speed when drying paper in an air dryer. Therefore, the air dryer is first used to dry each test paper, with different temperatures and airflow directions applied to different papers. Considering that the drying temperature and speed settings may be unreasonable, leading to different drying speeds in different areas of the same paper, this embodiment divides each paper into a predetermined number of areas. For any area of ​​any paper, the corresponding wet and dry state index is calculated based on the vibration amplitude and light transmittance of that area at various times within the target time period. Then, based on the wet and dry state index corresponding to each area of ​​each paper, this embodiment calculates the humidity uniformity index of each paper. If the humidity of a certain paper is uneven across its areas, it indicates that the drying temperature and airflow direction settings of the air dryer are unreasonable. If the humidity of a certain paper is uniform across its areas, it does not necessarily mean that the set temperature and airflow direction are reasonable. It is necessary to further judge whether the temperature and airflow direction settings are reasonable based on the difference index between the paper and the standard paper, and select the optimal temperature and airflow direction. Specifically, papers whose humidity uniformity index meets the set range are grouped into a humidity uniformity group. Based on the light transmittance of each paper in the humidity uniformity group and the average grayscale value of pixels in the grayscale image of each paper, the difference index between each paper in the humidity uniformity group and the standard paper is calculated. The drying temperature corresponding to the paper with the smallest difference index from the standard paper is taken as the optimal drying temperature, and the drying direction corresponding to the paper with the smallest difference index from the standard paper is taken as the optimal drying direction. This method is particularly suitable for specific functions, specifically intelligent adjustment of air dryers, and utilizes computer-aided design and processing. This method can be applied to Internet data services such as big data resource services, databases, and cloud database services, and can be configured as related cloud computing software, cloud-integrated application runtime support platform software, etc. This embodiment obtains the optimal drying temperature and optimal drying direction. When using the air dryer to dry paper subsequently, the air dryer is directly adjusted to the optimal drying temperature and optimal drying direction to dry the paper, ensuring paper quality while improving drying efficiency.

[0058] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent adjustment of a wind dryer based on optical detection, characterized in that, The method includes the following steps: The test papers were dried using a dryer, with different temperatures and airflow directions applied to each paper. Each paper was divided into a set number of regions. For any region of any paper, the stability index of the vibration amplitude corresponding to the target time period was calculated based on the vibration amplitude at each moment within the target time period. The transmittance difference index of the target time period within the target time period was calculated based on the transmittance at each moment within the target time period. Based on the stability index of vibration amplitude and the light transmittance difference index of each region of each paper during the target time period, the dry and wet state index of each region of each paper is calculated; based on the dry and wet state index of each region of each paper, the humidity uniformity index of each paper is calculated. Determine if the humidity uniformity index of each paper meets the set range. If it does, the corresponding paper is considered to have uniform humidity, and the paper with uniform humidity is classified into a humidity uniform group. Calculate the difference index between each paper in the humidity uniform group and the standard paper based on the average transmittance of each paper at the target time and the average grayscale value of each pixel in the grayscale image of each paper at the target time. Take the air-drying temperature corresponding to the paper with the smallest difference index from the standard paper as the optimal air-drying temperature, and the air-drying direction corresponding to the paper with the smallest difference index from the standard paper as the optimal air-drying direction. Adjust the air dryer using the optimal air-drying temperature and optimal air-drying direction. The step of calculating the stability index of the vibration amplitude corresponding to the target time period in the region based on the vibration amplitude at each moment within the target time period includes: Calculate the variance of the vibration amplitude within the target time period based on the vibration amplitude at each moment within the target time period in the region. The variance is used as a stability index of the vibration amplitude corresponding to the target time period in the region; The step of calculating the transmittance difference index of the target time period in the region based on the transmittance at each time point within the target time period includes: Calculate the sum of the transmittance of the first half of the time period within the target time period of the area, and record the sum of the transmittance of the first half of the time period as the first transmittance. Calculate the sum of the transmittance of the second half of the target time period in the region, and record the sum of the transmittance of the second half of the time period as the second transmittance. Calculate the ratio of the first transmittance to the second transmittance, and use the ratio as an indicator of transmittance difference in the target time period of the region; The process involves calculating the dry / wet state indices for each region of each paper based on the stability index of the vibration amplitude and the light transmittance difference index corresponding to the target time period for each region of each paper, including: For any area of ​​any sheet of paper: Calculate the product of the stability index of vibration amplitude and the transmittance difference index corresponding to the target time period in the region, and use the product as the dry and wet state index corresponding to the region. The step of calculating the humidity uniformity index of each paper based on the dry and wet state index corresponding to each region of each paper includes: For any given sheet of paper: The paper's moisture uniformity index is calculated using the following formula: in, This is an indicator of the paper's moisture uniformity. For the first page of this paper The corresponding dry and wet conditions index for each region This refers to the dry / wet condition index corresponding to the central area of ​​the paper. The number of areas to divide the paper into; The following formula was used to calculate the difference index between each paper in the humidity uniformity group and the standard paper: in, This represents the difference between any paper in the humidity uniformity group and the standard paper. The transmittance coefficient, This is the grayscale mean coefficient. This represents the average light transmittance of the paper at the target time. This represents the average grayscale value of the pixels in the grayscale image of the paper at the target time. The transmittance of standard paper. This represents the average grayscale value of the pixels in a grayscale image of standard paper. is the base of the natural logarithm; Determine whether the humidity uniformity index of each paper meets the set range. If it does not meet the set range, the corresponding paper is determined to have uneven humidity.

Images