A drying control method and system applied to raw paper production
By acquiring data on the type of raw paper and standard drying parameters, and combining this with infrared imaging and image data, the drying process of raw paper can be monitored in real time. This solves the problem of independent operation of drying and moisture content detection in raw paper production, and achieves efficient and precise drying control in raw paper production.
Patent Information
- Application Number
- CN202311514714.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-14
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2043-11-14
AI Technical Summary
In existing technologies, the drying and moisture content detection of raw paper production are carried out independently, resulting in low production efficiency and difficulty in accurately determining the moisture content of raw paper.
By acquiring data on the type of raw paper and standard drying parameters, combined with infrared imaging data and image data, the drying process of the raw paper can be monitored and controlled in real time. It can be determined whether the moisture content is within the preset range, and the drying equipment parameters can be adjusted to achieve precise control.
It enables precise control of moisture content during the paper production process, improves drying efficiency and quality stability, and reduces errors in defect detection.
Smart Images
Figure CN117513049B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of machine control, and particularly relates to a drying control method and system applied to base paper production. BACKGROUND
[0002] Base paper, i.e. paper that needs to be further processed, is used to make raw materials of different types of paper according to the needs of different industrial production, or different types of fibers are mixed together to obtain the required characteristics of base paper to meet the requirements of different application fields for paper quality, strength, durability, air permeability and printing performance.
[0003] At present, in the process of base paper processing and manufacturing, the formed paper needs to be dried to ensure the quality and stability of the paper, but the base paper drying and moisture detection are often operated independently, and it is difficult to accurately grasp the moisture content of the base paper, and there is a problem of low production efficiency of the base paper, so a new base paper production drying method is needed. SUMMARY
[0004] The purpose of the present application is to provide a drying control method and system applied to base paper production, which aims to solve the technical problem of independent drying and moisture detection of base paper production in the prior art, thereby reducing the production drying efficiency.
[0005] To achieve the above-mentioned purpose, the present application provides a drying control method applied to base paper production, comprising:
[0006] obtaining base paper type data and standard drying parameter data, wherein the standard drying parameter data is the drying parameter of the equipment when the base paper type data is dried;
[0007] According to the standard drying parameter data, the base paper is dried, and the moisture content data after drying is obtained;
[0008] determining whether the moisture content data is within the preset moisture content standard range;
[0009] If the moisture content data is within the preset moisture content standard range, the base paper drying standard is met.
[0010] If the moisture content data is outside the preset moisture content standard range, the base paper drying standard is not met.
[0011] The application has the beneficial effects that the dry control method applied to raw paper production provided by the application embodiment first acquires raw paper type data, acquires dry parameter data corresponding to the raw paper type data according to the raw paper type data, sets a raw paper drying device according to the standard dry parameter data, and performs dry processing on the raw paper, acquires water content rate data after the dry processing, then compares the water content rate data with a preset water content rate standard, judges whether the water content rate data is within the preset water content rate standard range, if the water content rate data is within the preset water content rate standard range, the dried raw paper meets the raw paper drying standard, and if the water content rate data is outside the preset water content rate standard range, the dried raw paper does not meet the raw paper drying standard, so that the water content rate of the raw paper can be accurately controlled in the drying process in combination with the raw paper drying and the raw paper water content rate detection in the raw paper production process.
[0012] Optionally, infrared imaging data of the dry web is acquired.
[0013] The infrared imaging data is compared with preset dry web imaging data to judge whether the infrared imaging data is abnormal.
[0014] If the infrared imaging data is abnormal, abnormal position data of the dry web is acquired.
[0015] Optionally, original weight data of the raw paper before drying is acquired.
[0016] Dry weight data of the raw paper after drying is acquired.
[0017] Water content rate data of the raw paper is acquired according to the original weight data and the dry weight data.
[0018] Optionally, image data of the raw paper is acquired.
[0019] The image data is regionally segmented to acquire a plurality of segmented region data.
[0020] A plurality of image gray scale data is acquired according to the plurality of segmented region data.
[0021] It is judged whether the data difference between the plurality of image gray scale data and preset gray scale data is within a preset allowable range.
[0022] If the data difference between the plurality of image gray scale data and the preset gray scale data is within the preset allowable range, it is judged that the raw paper is flawless.
[0023] If the data difference between the plurality of image gray scale data and the preset gray scale data is outside the preset allowable range, it is judged that the raw paper has defects.
[0024] Optionally, a raw paper defect type is acquired according to the image gray scale data and a plurality of preset defect gray scale data.
[0025] According to the segmentation area data, obtain the flaw position data.
[0026] Optionally, the abnormal times of not meeting the standard of the raw paper drying in the history are obtained, wherein the abnormal times are the times of not meeting the standard of the raw paper drying in the raw paper production this time;
[0027] According to the abnormal times and the raw paper type data, obtain the abnormal probability data;
[0028] Judge whether the abnormal probability data is located in the preset abnormal probability range;
[0029] If the abnormal probability data is located in the preset abnormal probability range, continue to use the standard drying parameter data;
[0030] If the abnormal probability data is located out of the preset abnormal probability range, generate new equipment parameter data.
[0031] Optionally, according to the moisture content data, the standard drying parameter data and the abnormal probability data, obtain the difference data;
[0032] According to the difference data, generate new equipment parameter data.
[0033] The application further provides a drying control system applied to raw paper production, which comprises:
[0034] An original data acquisition module is used for acquiring raw paper type data and standard drying parameter data, wherein the standard drying parameter data is the drying parameter of the equipment when the raw paper type data is dried;
[0035] A drying data acquisition module is used for drying the raw paper according to the standard drying parameter data, and acquiring the moisture content data after drying treatment;
[0036] A data judgment module is used for judging whether the moisture content data is located in the preset moisture content standard range;
[0037] A first standard judgment module is used for judging that the raw paper meets the standard of the raw paper drying if the moisture content data is located in the preset moisture content standard range;
[0038] A second standard judgment module is used for judging that the raw paper does not meet the standard of the raw paper drying if the moisture content data is located out of the preset moisture content standard range. BRIEF DESCRIPTION OF DRAWINGS
[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description only constitute some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0040] Figure 1 A flowchart of a drying control method applied to raw paper production provided by an embodiment of the present application;
[0041] Figure 2 A module block diagram of a drying control system applied to raw paper production provided by an embodiment of the present application. DETAILED DESCRIPTION
[0042] In order to make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the following described embodiments only constitute some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.
[0043] Please refer to Figure 1 An embodiment of a drying control method applied to raw paper production in the embodiments of the present application can include:
[0044] S100, obtaining raw paper type data and standard drying parameter data.
[0045] Specifically, the raw paper type is determined according to the production materials needed by the factory for this production, and the raw paper type data is obtained, and the standard drying parameter data is obtained according to the raw paper type data and the preset standard parameters, wherein the standard drying parameter data is the drying parameter of the equipment when the raw paper type data is dried.
[0046] Specifically, the raw paper type includes wood pulp paper, bamboo pulp paper, straw pulp paper, cotton paper and mixed pulp paper, the water content of bleached wood pulp paper is 60%-70%, and the standard drying parameter data includes drying time, drying temperature and drying position.
[0047] In an embodiment, the above step S100 includes:
[0048] S110, obtaining infrared imaging data of the drying net.
[0049] Specifically, the original paper production drying part needs to use a dry net to carry the paper to ensure that the original paper can be transferred in a wet paper state, but the dry net needs to be detected before drying to ensure that the dry net has no water droplets condensation, otherwise it will cause black water droplets on the original paper or dry net printing.
[0050] Specifically, the dry net is photographed by infrared imaging to obtain infrared imaging image data of the dry net, wherein the infrared imaging data is infrared imaging image data.
[0051] S120, compare the infrared imaging data with the preset dry net imaging data to determine whether the infrared imaging data is abnormal.
[0052] Specifically, by comparing the infrared imaging data and the preset dry net imaging data, the preset coordinate midpoint of the preset dry net imaging data is obtained, the coordinate midpoint of the infrared imaging data is set at the same place as the preset coordinate midpoint, the imaging data of each coordinate point position is compared to determine whether there is a difference, and whether the infrared imaging data is abnormal is determined according to the difference of the imaging data. If the infrared imaging data is not abnormal, the dry net meets the drying use standard.
[0053] S130, if the infrared imaging data is abnormal, the position data of the abnormal part of the dry net is obtained.
[0054] Specifically, if the infrared imaging data and the preset dry net imaging data are compared to be abnormal, the position data of the abnormal part of the dry net in the infrared imaging data is obtained, and the position data of the abnormal part is marked as a problem point.
[0055] S200, according to the standard drying parameter data, the original paper is dried and treated, and the moisture content data after drying treatment is obtained.
[0056] Specifically, the standard drying parameter data is set as the equipment parameter data of the drying part, the wet paper produced by the original paper is dried and treated, and the moisture content data after drying treatment is obtained. The moisture content data is obtained by detecting the moisture content of the original paper at each detection time, that is, the first moisture content data f w1 , the second moisture content data f w2 , and the third moisture content data f w3 The efficiency of the original paper drying can be obtained according to the moisture content data of three times.
[0057] Specifically, during the drying process of the raw paper, the paper undergoes three different forms of moisture drying. Therefore, three detection times can be set to detect different moisture removal efficiencies. At time T1, the raw paper is in the initial stage of drying, and its dryness is less than 40%. At time T2, as the moisture content decreases, the dryness of the raw paper reaches 50%, and the tensile properties of the raw paper increase. At time T3, the transverse shrinkage of the raw paper reaches about 80%, and the paper's shrinkage rate also increases. At the same time, the humidity change of the raw paper can be monitored in real time, and the heating temperature and drying time can be automatically adjusted according to the set target moisture content, making the drying process more efficient, faster, and more accurate.
[0058] In one embodiment, step S200 includes:
[0059] S210: Obtain the original weight data of the paper before drying.
[0060] Specifically, when testing the moisture content of the base paper, it is necessary to obtain the original weight data T1 of the base paper before drying.
[0061] S220: Obtain the dried weight data of the raw paper after drying.
[0062] Specifically, after drying the base paper, the dried weight data T2 of the base paper is obtained.
[0063] S230: Obtain the moisture content data of the base paper based on the original weight data and the dried weight data.
[0064] Specifically, the moisture content of the base paper is calculated from its original weight data T1 and dried weight data T2. The formula for calculating the moisture content of the base paper is: Moisture content = (Original weight data T1 - Dried weight data T2) × 100% ÷ Original weight data T1. The moisture content data can not only determine whether the base paper is dried, but also reflect the paper's performance.
[0065] S300 determines whether the moisture content data is within the preset moisture content standard range.
[0066] Specifically, the moisture content data is compared with the preset moisture content standard range to determine whether the moisture content data is within the preset moisture content standard range. If the moisture content data is greater than the maximum value of the preset moisture content standard range, drying treatment needs to continue. If the moisture content data is less than the minimum value of the preset moisture content standard range, it does not meet the standard for delivery of raw paper. The moisture content of the delivered raw paper is 6%-10%.
[0067] S400: If the moisture content data is within the preset moisture content standard range, it meets the paper drying standard.
[0068] Specifically, if the moisture content data is within the preset moisture content standard range, the drying of the base paper meets the base paper drying standard.
[0069] In an embodiment, after the step S400, the following steps are included:
[0070] S410, acquiring image data of the base paper.
[0071] Specifically, after the dried paper passes through the rolling belt, the light source under the paper rolling belt is turned on, and the image data of the transparent base paper is shot. The image of the base paper is acquired by using the transmission principle to scan the base paper.
[0072] S420, region segmentation is performed on the image data to acquire a plurality of segmentation region data.
[0073] Specifically, the image data of the base paper is subjected to region segmentation of the key region, and the region segmentation of the base paper image is performed to acquire a plurality of segmentation region data.
[0074] S430, acquiring a plurality of image gray scale data according to the plurality of segmentation region data.
[0075] Specifically, according to the plurality of segmentation region data of the image data, the plurality of segmentation region data is subjected to gray scale processing to acquire a plurality of image gray scale data of the plurality of segmentation region data, to obtain a plurality of image gray scale data, and to judge whether the base paper has defects according to the gray scale value.
[0076] S440, judging whether the data difference between the plurality of image gray scale data and the preset gray scale data is within the preset allowable range.
[0077] Specifically, the plurality of image gray scale data and the preset gray scale data are compared to judge whether the data difference between the plurality of image gray scale data and the preset gray scale data is within the preset range, that is, whether the difference between the gray scale values of the plurality of images and the preset gray scale values is within the preset allowable range. The judgment by using the gray scale value can improve the detection efficiency and improve the reliability of the detection result.
[0078] S450, if the data difference between the plurality of image gray scale data and the preset gray scale data is within the preset allowable range, it is judged that the base paper has no defects.
[0079] Specifically, if the data difference between the plurality of image gray scale data and the preset gray scale data is within the preset allowable range, that is, the data difference between the gray scale value of the image data and the preset image gray scale value is within the preset allowable range, it is judged that the base paper has no defects.
[0080] S460, if the data difference between the plurality of image gray scale data and the preset gray scale data is outside the preset allowable range, it is judged that the base paper has defects.
[0081] Specifically, if the data difference between the multiple image gray scale data and the preset gray scale data is outside the preset allowable range, that is, the data difference between the gray scale value of at least one image data and the preset image gray scale value is outside the preset allowable range, it is determined that the base paper has defects.
[0082] Specifically, according to the image gray scale data, the defect data of the existing defect is obtained. Because the image detection method can identify defects more efficiently than the human eye, and has higher reliability.
[0083] In an embodiment, after the above step S460, the following steps are included:
[0084] S461, according to the image gray scale data and the multiple preset defect gray scale data, the base paper defect type is obtained.
[0085] Specifically, according to the multiple image gray scale data and the multiple preset defect gray scale data, that is, according to the multiple image gray scale values and the multiple preset defect paper gray scale value data, the defect type of the base paper is determined. The base paper defect type includes black spots, lines and wrinkles. If there are multiple image gray scale values and multiple preset defect paper gray scale value data that do not match, but it is determined that the base paper has defects, then the base paper defect type is determined as other defect types.
[0086] S462, according to the segmented region data, the defect position data is obtained.
[0087] Specifically, according to the image segmentation region data and the multiple preset defect gray scale data, the defect position data of the base paper is determined, which can improve the efficiency of repairing the base paper or maintaining the base paper production equipment.
[0088] S500, if the moisture content data is outside the preset moisture content standard range, the base paper drying standard is not met.
[0089] Specifically, if the moisture content data of the base paper exceeds the maximum value of the preset moisture content standard range, the base paper needs to be dried further. If the moisture content data of the base paper is less than the minimum value of the preset moisture content standard range, the base paper does not meet the base paper drying standard.
[0090] In an embodiment, after the above step S500, the following steps are included:
[0091] S510, the number of historical abnormal times that do not meet the base paper drying standard is obtained.
[0092] Specifically, according to the historical detection data of the base paper moisture content detection, the number of historical abnormal times that do not meet the base paper drying standard is determined, wherein the number of abnormal times is the number of times that do not meet the base paper drying standard in the current base paper production.
[0093] S520, according to the number of abnormal times and the base paper type data, the abnormal probability data is obtained.
[0094] Specifically, according to the base paper type data and the number of times of abnormality, the abnormal probability data of the base paper type data is determined, and whether the abnormal probability data meets the production standard is determined to determine whether the equipment parameter data of the production of the base paper type data is accurate or whether the production equipment has an abnormality.
[0095] S530, whether the abnormal probability data is located in the preset abnormal probability range is determined.
[0096] Specifically, the abnormal probability data and the preset abnormal probability range are compared to determine whether the abnormal probability data is located in the preset abnormal probability range.
[0097] S540, if the abnormal probability data is located in the preset abnormal probability range, the standard drying parameter data is continued to be used.
[0098] Specifically, if the abnormal probability data is located in the preset abnormal probability range, the standard drying parameter data of the production meets the production requirement, and the standard drying parameter data can be continued to be used.
[0099] S550, if the abnormal probability data is located outside the preset abnormal probability range, new equipment parameter data is generated.
[0100] Specifically, if the abnormal probability data is located outside the preset abnormal probability range, the standard drying parameter data of the production does not meet the production requirement, and new equipment parameter data needs to be generated according to the abnormal probability data.
[0101] In an embodiment, the above step S550 comprises:
[0102] S551, difference data is obtained according to the moisture content data, the standard drying parameter data and the abnormal probability data.
[0103] Specifically, the difference data is determined according to the moisture content data, the standard drying parameter data and the abnormal probability data of the base paper.
[0104] S552, new equipment parameter data is generated according to the difference data.
[0105] Specifically, new equipment parameter data is generated according to the difference data, if the abnormal probability data of the black point is the highest, the drying time data of the equipment parameter data is changed, if the abnormal probability data of the line is the highest, the drying position data of the equipment parameter data is changed, and if the abnormal probability data of the wrinkle is the highest, the drying temperature data of the equipment parameter data is changed.
[0106] The implementation principle of the drying control method applied to the production of raw paper provided in the embodiments of the present application is as follows: first, infrared imaging data of a drying wire of raw paper is acquired, whether the drying wire meets the use standard is determined according to the infrared imaging data of the drying wire, if the drying wire does not meet the use standard, the position information of the abnormal part of the drying wire is determined, then the type data of the raw paper is acquired, the standard drying parameter data of the raw paper is determined according to the type data of the raw paper, the weight data of the raw paper is acquired before drying of the raw paper, the raw paper is dried according to the standard drying parameter data, the dried weight data is acquired after drying, the moisture content data of the raw paper is determined by using the original weight data and the dried weight data, whether the moisture content data of the raw paper is within the moisture content standard range of the raw paper is determined, if the moisture content data is within the preset moisture content standard range, the dried raw paper meets the drying standard of the raw paper, then the image data of the raw paper is acquired, whether the dried raw paper has defects is determined, and the defects are determined, if the moisture content data is outside the preset moisture content standard range, the raw paper does not meet the drying standard of the raw paper, the standard drying parameter data needs to be modified, and whether the drying equipment has an abnormality is detected, so that the moisture content detection of the raw paper can be realized in the drying process of the raw paper, the moisture content of the raw paper can be accurately controlled, and the drying efficiency of the production of the raw paper is improved.
[0107] Please refer to Figure 2 The embodiments of the present application also provide a drying control system applied to the production of raw paper, which comprises:
[0108] The original data acquisition module is used to acquire the type data of the raw paper and the standard drying parameter data, wherein the standard drying parameter data is the drying parameter of the equipment when the type data of the raw paper is dried;
[0109] The drying data acquisition module is used to dry the raw paper according to the standard drying parameter data, and acquire the moisture content data after the drying treatment;
[0110] The data determination module is used to determine whether the moisture content data is within the preset moisture content standard range;
[0111] The first standard determination module is used to determine that the raw paper meets the drying standard of the raw paper if the moisture content data is within the preset moisture content standard range;
[0112] The second standard determination module is used to determine that the raw paper does not meet the drying standard of the raw paper if the moisture content data is outside the preset moisture content standard range.
[0113] The above-described embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent replacements; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A drying control method applied to base paper production, characterized in that, include: Acquire raw paper type data and standard drying parameter data, wherein the standard drying parameter data are the drying parameters of the equipment when drying the raw paper type data; The base paper is dried according to the standard drying parameter data, and the moisture content data after drying is obtained. Determine whether the moisture content data is within the preset moisture content standard range; If the moisture content data is within the preset moisture content standard range, it meets the paper drying standard; If the moisture content data is outside the preset moisture content standard range, it does not meet the paper drying standard; Wherein, after stating that if the moisture content data is within the preset moisture content standard range, then it meets the paper drying standard, the following is included: Obtain the image data of the original paper; The image data is segmented to obtain multiple segmented region data; Based on the multiple segmented region data, multiple image grayscale data are obtained; Determine whether the data difference between the multiple image grayscale data and the preset grayscale data is within a preset allowable range; If the difference between the grayscale data of the multiple images and the preset grayscale data is within the preset allowable range, then the original paper is determined to be without defects. If the difference between the grayscale data of the multiple images and the preset grayscale data is outside the preset allowable range, it is determined that the original paper has defects. Wherein, after determining that the original paper has defects if the data difference between the plurality of image grayscale data and the preset grayscale data is outside the preset allowable range, the following steps are included: Based on the image grayscale data and multiple preset defect grayscale data, the paper defect types are obtained, wherein the paper defect types include: black spots, lines, and wrinkles; Based on the segmented region data, obtain the defect location data; Wherein, after stating that if the moisture content data is outside the preset moisture content standard range, it does not meet the paper drying standard, the following is included: The number of times the paper did not meet the drying standards in the past is obtained, wherein the number of times the paper did not meet the drying standards in the current paper production is; Based on the number of anomalies and the type of raw paper, obtain the anomaly probability data; Determine whether the anomaly probability data is within a preset anomaly probability range; If the abnormal probability data is within the preset abnormal probability range, then the standard drying parameter data will continue to be used; If the abnormal probability data is outside the preset abnormal probability range, new device parameter data is generated; Wherein, generating new device parameter data if the abnormal probability data is outside the preset abnormal probability range includes: If the probability of an anomaly is highest for black spots, then change the drying time data in the equipment parameter data. If the probability of an anomaly is highest for lines, then change the drying position data in the equipment parameter data. If the probability of an anomaly is highest for wrinkles, then change the drying temperature data in the equipment parameter data.
2. The method according to claim 1, characterized in that, Before obtaining the base paper type data and standard drying parameter data, the following steps are included: Acquire infrared imaging data from the dry network; Compare the infrared imaging data with the preset dry net imaging data to determine whether there are any abnormalities in the infrared imaging data; If the infrared imaging data is abnormal, the location data of the abnormal point in the trunk network is obtained.
3. The method according to claim 1, characterized in that, The step of drying the base paper according to the standard drying parameter data and obtaining the moisture content data after drying includes: Obtain the original weight data of the paper before drying; Obtain the dried weight data of the raw paper after drying; Based on the original weight data and the dried weight data, the moisture content data of the base paper is obtained.
4. The method according to claim 1, characterized in that, If the anomaly probability data is outside the preset anomaly probability range, then new device parameter data is generated, including: Based on the moisture content data, standard drying parameter data, and anomaly probability data, obtain the difference data; Based on the difference data, new device parameter data is generated.
5. A drying control system applied to base paper production, characterized in that, include: Raw data acquisition module: used to acquire raw paper type data and standard drying parameter data, wherein the standard drying parameter data are the drying parameters of the equipment when the raw paper type data is dried; Drying data acquisition module: used to dry the base paper according to the standard drying parameter data and acquire the moisture content data after drying; Data judgment module: used to determine whether the moisture content data is within the preset moisture content standard range; First standard judgment module: used to determine if the moisture content data is within the preset moisture content standard range, then it meets the paper drying standard; The second standard judgment module is used to determine whether the moisture content data does not meet the drying standard for raw paper if it is outside the preset moisture content standard range. Wherein, after stating that if the moisture content data is within the preset moisture content standard range, then it meets the paper drying standard, the following is included: Obtain the image data of the original paper; The image data is segmented to obtain multiple segmented region data; Based on the multiple segmented region data, multiple image grayscale data are obtained; Determine whether the data difference between the multiple image grayscale data and the preset grayscale data is within a preset allowable range; If the difference between the grayscale data of the multiple images and the preset grayscale data is within the preset allowable range, then the original paper is determined to be without defects. If the difference between the grayscale data of the multiple images and the preset grayscale data is outside the preset allowable range, it is determined that the original paper has defects. Wherein, after determining that the original paper has defects if the data difference between the plurality of image grayscale data and the preset grayscale data is outside the preset allowable range, the following steps are included: Based on the image grayscale data and multiple preset defect grayscale data, the paper defect types are obtained, wherein the paper defect types include: black spots, lines, and wrinkles; Based on the segmented region data, obtain the defect location data; Wherein, after stating that if the moisture content data is outside the preset moisture content standard range, it does not meet the paper drying standard, the following is included: The number of times the paper did not meet the drying standards in the past is obtained, wherein the number of times the paper did not meet the drying standards in the current paper production is; Based on the number of anomalies and the type of raw paper, obtain the anomaly probability data; Determine whether the anomaly probability data is within a preset anomaly probability range; If the abnormal probability data is within the preset abnormal probability range, then the standard drying parameter data will continue to be used; If the abnormal probability data is outside the preset abnormal probability range, new device parameter data is generated; Wherein, generating new device parameter data if the abnormal probability data is outside the preset abnormal probability range includes: If the probability of an anomaly is highest for black spots, then change the drying time data in the equipment parameter data. If the probability of an anomaly is highest for lines, then change the drying position data in the equipment parameter data. If the probability of an anomaly is highest for wrinkles, then change the drying temperature data in the equipment parameter data.
Citation Information
Patent Citations
Paper surface dryness detection device, winding machine and papermaking line
CN219508275U