A method and system for detecting drying effect of impregnated paper

Abstract

The present invention relates to the field of paper detection technology, and in particular to a method and system for detecting the drying effect of impregnated paper. The detection method comprises: determining the detection requirements of target impregnated paper, wherein the detection requirements include a paper surface area grid arranged according to a first position identifier and a first detection data set obtained by a corresponding group of detections; when the detection requirements are identified, reading the molding requirements of the target impregnated paper, and determining, based on the molding requirements, in a preset detection library a number of preset detection units arranged as a paper surface analysis grid assigned a second position identifier and a corresponding group of preset second detection data sets corresponding to the molding requirements; confirming whether the position identifier of each first detection data set is the same as the position identifier of each second detection data set; if the position identifiers are the same, then correspondingly comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, and judging the drying effect according to the comparison result; ensuring the comprehensiveness and accuracy of the drying effect detection.

Description

Technical Field

[0001] The present invention relates to the technical field of paper detection, and in particular to a method and system for detecting drying effect of impregnated paper. Background Art

[0002] Impregnated paper is a kind of paper with special properties and uses. By impregnating the paper into a mixed chemical solution, the paper obtains the required special properties, such as water resistance, flame retardancy, deformation resistance, etc. It has a wide range of application scenarios, including but not limited to vehicle manufacturing, home construction and other industries.

[0003] After the paper raw material is impregnated, it needs to be dried and compressed to remove excess moisture so that it has a certain thickness and density. After the treatment, the drying state of the dried impregnated paper needs to be detected to determine whether the drying effect of the impregnated paper meets the drying requirements. In the related art, an online detection device is usually used to measure the moisture content in the paper to measure the drying effect. In the above measurement process, only the overall moisture content of the paper can be determined, and some impregnated papers are prone to local wetting or excessive drying. These defective products are very likely to be missed and directly enter the subsequent production process, which affects the performance of the local position on the paperboard to a certain extent, and may further affect the quality and use effect of the formed product. The method of manually assisted judgment not only wastes detection time and cost, but also is not conducive to improving production efficiency.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method and system for detecting the drying effect of impregnated paper, thereby ensuring the comprehensiveness and accuracy of the detection results of the drying effect of impregnated paper, timely removing the impregnated paper areas that are locally wet or over-dried, and ensuring the quality and use effect of the subsequent produced products.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a method for detecting the drying effect of impregnated paper, comprising the following steps:

[0007] Determine a plurality of parameters to be detected related to the drying effect of the target impregnated paper, wherein the values ​​corresponding to the parameters to be detected constitute the detection requirements of the drying effect of the target impregnated paper, wherein the detection requirements include paper surface area grids assigned with a first position identifier and arranged according to the first position identifier, and each of the paper surface area grids corresponds to a set of first detection data obtained by detection;

[0008] When the detection requirement of the drying effect of the target impregnated paper is identified, the molding requirement of the target impregnated paper is read, and based on the molding requirement, a plurality of preset detection units corresponding to the molding requirement are determined in a preset detection library, each of the preset detection units is arranged as a paper surface analysis grid assigned with a second position identifier, and each of the paper surface analysis grids corresponds to a set of preset second detection data sets;

[0009] The sorting rules of the first position identifier and the second position identifier are consistent;

[0010] confirming whether the position identifiers of each of the first detection data sets in the paper surface area grid are the same as the position identifiers of each of the second detection data sets in the paper surface analysis grid, and if not, re-determining a plurality of preset detection units;

[0011] If the position identifiers are the same, the parameter values ​​in the first detection data set are compared with the parameter values ​​in the second detection data set, and the drying effect of the corresponding area of ​​the target impregnated paper is determined according to the comparison result. If the position identifiers are different, a number of preset detection units are re-determined.

[0012] Furthermore, a plurality of humidity sensors are evenly arranged at equal intervals along the width direction of the target impregnated paper, and the moisture content data of the target impregnated paper range corresponding to each humidity sensor is obtained by partition detection;

[0013] When the moisture content data detected by any of the humidity sensors reaches a start threshold, the detection requirement is output.

[0014] Furthermore, the parameters to be detected include moisture content values ​​and regional water-containing areas, and the parameter values ​​in each group of the first detection data set include moisture content detection values ​​and regional water-containing area detection values ​​in the corresponding paper surface area grid, and the parameter values ​​in each group of the second detection data set include moisture content threshold intervals and regional water-containing area threshold intervals in the corresponding paper surface analysis grid.

[0015] Furthermore, the molding requirement also includes a region importance level and a threshold interval set of each parameter to be detected in each level of the region, and the first location identifier has a corresponding first mapping relationship with the threshold interval set;

[0016] Each of the determined preset detection units is correspondingly provided with a preset threshold interval set for each parameter to be detected, and the second position identifier and the preset threshold interval set have a corresponding second mapping relationship;

[0017] Before determining whether the location identifiers are the same, it also includes confirming whether the first mapping relationship and the second mapping relationship are the same. If the mapping relationships are the same, a location identifier confirmation process is performed.

[0018] Furthermore, the location identification confirmation process includes:

[0019] confirming whether the number of first position identifiers assigned in the paper area grid is the same as the number of first position identifiers assigned in the paper analysis grid;

[0020] If they are the same, determine in sequence whether the first position identifier of each first detection data set in the paper area grid and the second position identifier of each second detection data set in the paper analysis grid are the same; if they are different, redefine several preset detection units.

[0021] Further, the corresponding comparison of the parameter values ​​in the first detection data set and the parameter values ​​in the second detection data set includes the following steps:

[0022] Correspondingly comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, determining whether the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, and whether the regional water-containing area detection value in the first detection data set exceeds the regional water-containing area threshold interval in the second detection data set;

[0023] When the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, or the regional water content detection value in the first detection data set exceeds the regional water content threshold interval in the second detection data set, the first detection data set and its corresponding location identifier and paper area grid are listed as abnormal information;

[0024] When the moisture content detection value in the first detection data set does not exceed the moisture content threshold interval in the second detection data set, and the regional water content area detection value in the first detection data set does not exceed the regional water content area threshold interval in the second detection data set, outputting the normal drying effect information of the corresponding area of ​​the target impregnated paper;

[0025] Compare in sequence a set of first detection data sets obtained by detection corresponding to each of the paper area grids and a set of preset second detection data sets corresponding to each of the paper analysis grids, until all the first detection data sets and the second detection data sets have completed the parameter comparison process;

[0026] All the abnormal information is integrated to form an abnormal information set, and the abnormal information set is output.

[0027] Furthermore, the drying effect of the target impregnated paper is determined according to the output abnormal information set, and whether to execute the paper surface area grid removal instruction is determined according to the drying effect.

[0028] Further, the step of determining the drying effect of the target impregnated paper according to the output abnormal information set comprises the following steps:

[0029] When the abnormal information set is an empty set, determining that the drying effect of the target impregnated paper is in an ideal state;

[0030] When the abnormal information set is a non-empty set, it is determined that the drying state of the target impregnated paper is a non-ideal state.

[0031] Further, the step of determining whether to execute the paper area grid removal instruction according to the drying effect comprises the following steps:

[0032] When the drying effect of the target impregnated paper is in an ideal state, the paper surface area grid removal instruction is not executed;

[0033] When the drying effect of the target impregnated paper is not in an ideal state, sequentially determining the regional importance level corresponding to the position identifier of each piece of the abnormal information in the abnormal information set;

[0034] If the area importance level is higher than or equal to the preset rejection level, a paper area grid rejection instruction is executed;

[0035] If the regional importance level is lower than the preset rejection level, then sequentially determining the parameter values ​​of the first detection data set of each piece of the abnormal information in the abnormal information set for comparison and judgment;

[0036] When the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, and the regional water area detection value in the first detection data set exceeds the regional water area threshold interval in the second detection data set, the paper area grid removal instruction is executed, otherwise the removal instruction is not executed.

[0037] The present invention also provides a detection system for the drying effect of impregnated paper, comprising:

[0038] A data acquisition module, used for determining a number of parameters to be detected related to the drying effect of the target impregnated paper, wherein the values ​​corresponding to the parameters to be detected constitute the detection requirements of the drying effect of the target impregnated paper, wherein the detection requirements include paper surface area grids assigned with a first position identifier and arranged according to the first position identifier, and each of the paper surface area grids corresponds to a set of first detection data obtained by detection;

[0039] A preset detection library, comprising a plurality of preset detection units, each of which is arranged as a paper surface analysis grid assigned with a second position identifier, each of which corresponds to a set of preset second detection data sets, and the sorting rules of the first position identifier and the second position identifier are consistent;

[0040] A data response module, for, when identifying the detection requirement of the drying effect of the target impregnated paper, reading the molding requirement of the target impregnated paper, and determining a plurality of preset detection units corresponding to the molding requirement in a preset detection library based on the molding requirement;

[0041] A data confirmation module, used to confirm whether the position identifier of each of the first detection data sets in the paper area grid is the same as the position identifier of each of the second detection data sets in the paper analysis grid;

[0042] A data verification module, used for comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, and determining the drying effect of the corresponding area of ​​the target impregnated paper according to the comparison result;

[0043] The instruction response module is used to determine the drying effect of the target impregnated paper according to the output abnormal information set, and determine whether to execute the paper surface area grid removal instruction according to the drying effect.

[0044] The beneficial effects of the present invention are as follows: by establishing a preset detection library, the present invention can form comprehensive drying effect detection on different areas for different impregnated papers, ensure that the locally moist or over-dried areas on the impregnated paper can be accurately identified, and the accuracy of the detection results can be improved. Moreover, the preset detection unit can be determined in time based on the detection request information and quickly compared, and the response is fast and efficient, so as to achieve the purpose of timely elimination, avoid defective products from entering subsequent production processes, reduce the time and cost of manual identification, improve production efficiency, and ensure the quality and use effect of subsequent production products. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 Schematic diagram of the process of the method for detecting the drying effect of impregnated paper in an embodiment of the present invention;

[0047] Figure 2It is a working schematic diagram of the method for detecting the drying effect of impregnated paper in an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of a process flow of detecting demand identification in an embodiment of the present invention;

[0049] Figure 4 Schematic diagram of the process of confirming a mapping relationship in an embodiment of the present invention;

[0050] Figure 5 Schematic diagram of the process of confirming a location identifier in an embodiment of the present invention;

[0051] Figure 6 Schematic diagram of the process of comparing parameter values ​​in an embodiment of the present invention;

[0052] Figure 7 Schematic diagram of the process of confirming the drying effect of the target impregnated paper in the embodiment of the present invention;

[0053] Figure 8 A schematic diagram of a flow chart of whether to execute a paper area grid removal instruction process in an embodiment of the present invention;

[0054] Fig. 9 It is a schematic diagram of the structure of the detection system of the drying effect of the impregnated paper in the embodiment of the present invention. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0056] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0058] like Figures 1 to 8 The method for detecting the drying effect of the impregnated paper shown comprises the following steps:

[0059] Determine a number of parameters to be detected related to the drying effect of the target impregnated paper, the values ​​corresponding to the parameters to be detected constitute the detection requirements of the drying effect of the target impregnated paper, the detection requirements include paper surface area grids assigned with first position identifiers and arranged according to the first position identifiers, and each paper surface area grid corresponds to a set of first detection data obtained by detection;

[0060] When the detection requirement of the drying effect of the target impregnated paper is identified, the molding requirement of the target impregnated paper is read, and based on the molding requirement, a number of preset detection units corresponding to the molding requirement are determined in the preset detection library, each preset detection unit is arranged as a paper surface analysis grid assigned with a second position identifier, and each paper surface analysis grid corresponds to a set of preset second detection data sets;

[0061] The sorting rules of the first position identifier and the second position identifier are consistent;

[0062] confirming whether the position identifiers of each first detection data set in the paper area grid are the same as the position identifiers of each second detection data set in the paper analysis grid, and if not, re-determining a plurality of preset detection units;

[0063] If the position identifiers are the same, the parameter values ​​in the first detection data set are compared with the parameter values ​​in the second detection data set, and the drying effect of the corresponding area of ​​the target impregnated paper is determined according to the comparison results. If the position identifiers are different, a number of preset detection units are re-determined.

[0064] The present invention can form comprehensive drying effect detection on different areas for different impregnated papers by establishing a preset detection library, ensure that the locally moist or over-dried areas on the impregnated paper can be accurately identified, improve the accuracy of the detection result, and can timely determine the preset detection unit based on the detection request information and quickly compare it, with a fast and efficient response, so as to achieve the purpose of timely elimination, avoid defective products from entering subsequent production processes, reduce the time and cost of manual identification, improve production efficiency, and ensure the quality and use effect of subsequent production products.

[0065] Specifically, the target impregnated paper on the production line is used to form a packaging shell for a specific product in the future. Therefore, different regional positions of the impregnated paper will form different functional areas, such as a waste area, a load-bearing area, a folding area, a wrapping area, etc. The requirements for the drying effect of the impregnated paper corresponding to each area are different. At this time, the required drying effect of the corresponding functional area can be determined according to the different molding requirements of each functional area, and then several parameters to be tested related to the drying effect of the functional area can be determined. At this time, the paper surface area of ​​the target impregnated paper can be arranged according to the first position mark according to the zoning definition requirements of the functional area to form a paper surface area grid. By detecting different paper surface area grids, the first detection data set corresponding to each paper surface area grid can be collected.

[0066] When the detection requirement of the drying effect of the target impregnated paper is read, it indicates that an area suspected of not achieving the drying effect appears on the target impregnated paper, and the drying effect of the target impregnated paper needs to be reconfirmed. By reading the set molding requirement of the target impregnated paper, that is, the drying effect required to be achieved in different functional areas, a number of preset detection units corresponding to the molding requirement are matched in the preset detection library. At this time, the preset detection units are arranged according to the second position identifier to form a paper surface analysis grid, and each paper surface analysis grid corresponds to a set of preset second detection data sets, and the sorting rules of the first position identifier and the second position identifier are consistent. That is, at this time, the preset database can match and retrieve the simulated paper surface analysis grid related to the molding requirement of the target impregnated paper, and by comparing the paper surface area grid and the paper surface analysis grid as well as the corresponding first detection data grid and the second detection data grid, it is possible to accurately screen and determine whether the drying effect in the target impregnated paper meets the molding requirement of the corresponding functional area, thereby preventing false detection or missed detection and ensuring the accuracy of the detection result.

[0067] Before the corresponding comparison, it is necessary to first determine whether the several detection units determined in the preset detection library correspond to the target impregnated paper. Since the sorting rules of the first position identifier and the second position identifier are consistent, it can be ensured that the determined preset detection units correspond to the target impregnated paper by confirming whether the position identifiers of each first detection data set in the paper area grid are the same as the position identifiers of each second detection data set in the paper analysis grid; and when the position identifiers of the two are different, the preset detection units determined from the preset detection library at this time do not conform to the corresponding relationship with the actual target impregnated paper, and it is necessary to redetermine several preset detection units to ensure the accuracy of the subsequent corresponding comparison results.

[0068] After determining that the position identifiers of the two are the same, that is, determining that a number of preset detection units correspond to the target impregnated paper, a corresponding comparison operation can be further performed, that is, a corresponding comparison of the parameter values ​​in the first detection data set and the parameter values ​​in the second detection data set. According to the comparison result, the drying effect of the corresponding functional area in the corresponding target impregnated paper can be judged, thereby achieving accurate judgment of the drying effect of different areas on the target impregnated paper, preventing the target impregnated paper that does not meet the drying effect from entering the subsequent processing process, and ensuring the quality and use effect of the formed product.

[0069] On the basis of the above embodiment, a plurality of humidity sensors are evenly arranged at equal intervals along the width direction of the target impregnated paper, and the moisture content data of the target impregnated paper range corresponding to each humidity sensor is obtained by partition detection;

[0070] When the moisture content data detected by any humidity sensor reaches the start threshold, a detection requirement is output.

[0071] By setting a humidity sensor to monitor the moisture content of the corresponding area on the target impregnated paper in real time and provide real-time feedback, when the moisture content reaches the preset starting threshold, the system automatically outputs the detection demand and forms an automatic trigger without human intervention. The area on the target impregnated paper that is suspected of not achieving the drying effect can be accurately located according to the position of the humidity sensor, which is convenient for forming a rapid response and automated detection, improving processing and production efficiency, and the moisture content data monitored and recorded in real time by the humidity sensor also provides data support for the formation of the first detection data set and the parameter value comparison process, ensuring the accuracy of the drying effect detection results.

[0072] Based on the above embodiment, the parameters to be detected include moisture content values ​​and regional water-containing area, the parameter values ​​in each group of the first detection data set include moisture content detection values ​​and regional water-containing area detection values ​​in the corresponding paper surface area grid, and the parameter values ​​in each group of the second detection data set include moisture content threshold intervals and regional water-containing area threshold intervals in the corresponding paper surface analysis grid.

[0073] The drying effect of the impregnated paper is mainly affected by the moisture content value and the regional moisture area on the surface of the impregnated paper. Therefore, by detecting the moisture content and the regional moisture area, the drying effect of different areas on the impregnated paper can be determined from multiple dimensions. Then, the first detection data set can be set to the moisture content detection value and the regional moisture area detection value obtained by real-time monitoring of the humidity sensor in the corresponding paper surface area grid. Correspondingly, the second detection data set can be set to the moisture content threshold interval and the regional moisture area threshold interval corresponding to the forming requirements in the paper surface analysis grid. When the moisture content detection value is lower than or higher than the moisture content threshold interval, it indicates that the target impregnated paper area corresponding to this paper surface area grid is locally moist or locally over-dry. When the regional moisture area detection value exceeds the regional moisture area threshold interval, it indicates that the abnormal area of ​​this paper surface area grid is too large, which affects the normal realization of the forming requirements of the target impregnated paper in this area. Corresponding marking or processing is required to avoid affecting the normal execution of subsequent production processes.

[0074] On the basis of the above embodiment, the molding requirement further includes the regional importance level and the threshold interval set of each parameter to be detected in the region of each level, and the first position identifier and the threshold interval set have a corresponding first mapping relationship;

[0075] Each of the determined preset detection units is correspondingly provided with a preset threshold interval set for each parameter to be detected, and the second position identifier and the preset threshold interval set have a corresponding second mapping relationship;

[0076] Before determining whether the location identifiers are the same, it also includes confirming whether the first mapping relationship and the second mapping relationship are the same. If the mapping relationships are the same, a location identifier confirmation process is performed.

[0077] Before determining whether the position identifiers are the same, it is also necessary to determine whether the threshold interval set corresponding to the regional importance level in the molding requirement and the preset threshold interval in the determined preset detection unit correspond, so as to avoid misjudgment caused by the threshold interval setting not meeting the molding requirement, improve the accuracy of detection, and enable it to match the actual molding requirement; specifically, by establishing a first mapping relationship and a second mapping relationship, that is, the correspondence between the first position identifier and the threshold interval set and the correspondence between the second position identifier and the preset threshold interval set, by confirming whether the mapping relationships are the same, it is confirmed that the preset threshold interval in the preset detection unit corresponds to the importance level in the molding requirement, and then the subsequent position identifier confirmation process can be continued. If the first mapping relationship and the second mapping relationship are not the same, it is necessary to redetermine the preset detection unit according to the molding requirement of the target impregnated paper to ensure the correctness of the correspondence between the regional importance levels, and then ensure the accuracy of the detection.

[0078] Based on the above embodiment, the location identification confirmation process includes:

[0079] confirming whether the number of first position identifiers assigned in the paper area grid is the same as the number of first position identifiers assigned in the paper analysis grid;

[0080] If they are the same, determine in sequence whether the first position identifier of each first detection data set in the paper area grid and the second position identifier of each second detection data set in the paper analysis grid are the same; if they are different, redefine a number of preset detection units.

[0081] By ensuring that the number of position identifiers in the paper area grid and the paper analysis grid is the same, detection errors caused by inconsistent numbers of identifiers can be avoided; by comparing the position identifiers one by one, it is ensured that the first position identifier of each first detection data set can correspond to the second position identifier in the second detection data set, that is, each group of first detection data sets has a corresponding set of second detection data sets on the corresponding position identifiers, thereby avoiding false detection and missed detection due to incorrect position identifiers and improving the accuracy of the detection results.

[0082] On the basis of the above embodiment, the corresponding comparison of the parameter values ​​in the first detection data set and the parameter values ​​in the second detection data set includes the following steps:

[0083] Correspondingly comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, determining whether the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, and whether the regional water-containing area detection value in the first detection data set exceeds the regional water-containing area threshold interval in the second detection data set;

[0084] When the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, or the regional water content detection value in the first detection data set exceeds the regional water content threshold interval in the second detection data set, the first detection data set and its corresponding location identifier and paper area grid are listed as abnormal information;

[0085] When the moisture content detection value in the first detection data set does not exceed the moisture content threshold interval in the second detection data set, and the regional water content area detection value in the first detection data set does not exceed the regional water content area threshold interval in the second detection data set, outputting the information that the drying effect of the corresponding area of ​​the target impregnated paper is normal;

[0086] Compare in sequence a first detection data set obtained by a detection corresponding to a group of each paper surface area grid and a preset second detection data set corresponding to a group of each paper surface analysis grid, until all the first detection data sets and the second detection data sets have completed the parameter comparison process;

[0087] Integrate all exception information to form an exception information set, and output the exception information set.

[0088] By accurately comparing the moisture content detection value and the moisture content threshold range as well as the regional moisture area detection value and the regional moisture area threshold range, the area in the corresponding paper area grid that exceeds the standard range can be accurately identified, and then when an abnormality is found, the relevant information can be immediately listed to provide timely feedback for the subsequent processing of the target impregnated paper; by integrating all abnormal information, it is convenient for unified management and analysis, which is helpful for the implementation of subsequent risk management measures; through the automated comparison process, the time and cost of manual inspection and comparison are reduced, and the overall detection efficiency is improved.

[0089] On the basis of the above embodiment, the drying effect of the target impregnated paper is determined according to the output abnormal information set, and whether to execute the paper area grid removal instruction is determined according to the drying effect; by analyzing the abnormal information, it is accurately and objectively determined whether to execute the removal instruction, so that the impregnated paper that meets the drying effect can enter the subsequent production process, and the target impregnated paper that does not meet the drying effect is removed, thereby ensuring the quality of the final product.

[0090] On the basis of the above embodiment, determining the drying effect of the target impregnated paper according to the output abnormal information set includes the following steps:

[0091] When the abnormal information set is an empty set, it is determined that the drying effect of the target impregnated paper is in an ideal state;

[0092] When the abnormal information set is a non-empty set, it is determined that the drying state of the target impregnated paper is a non-ideal state.

[0093] By taking the state of the abnormal information set as the basis for judgment, the evaluation process of the drying effect is simplified and accelerated. If the abnormal information set is an empty set, that is, no abnormal information is detected, it is determined that the drying effect of the target impregnated paper is in an ideal state; if the abnormal information set is a non-empty set, that is, there is at least one abnormal information, it is necessary to conduct a specific analysis on the abnormal information to determine that the drying state of the target impregnated paper is a non-ideal state; targeted decisions can be executed for target impregnated paper in different states, thereby improving the objectivity of the drying effect evaluation and the accuracy of decision execution.

[0094] On the basis of the above embodiment, determining whether to execute the paper area grid removal instruction according to the drying effect includes the following steps:

[0095] When the drying effect of the target impregnated paper is in an ideal state, that is, at this time, the abnormal information set is an empty set, there is no abnormal information that needs to be additionally analyzed and determined, the parameter values ​​of the first detection data set in all paper surface area grids are in a corresponding relationship with the parameter values ​​in the second detection data set, the drying effect of all areas on the target impregnated paper is in an ideal state, the paper surface area grid removal instruction is not executed, and the target impregnated paper can enter the next process;

[0096] When the drying effect of the target impregnated paper is not ideal, that is, at this time, the abnormal information set is a non-empty set, and there is abnormal information that needs additional confirmation. At this time, the regional importance level corresponding to the position identifier of each abnormal information in the abnormal information set can be determined in turn, so as to determine whether the area corresponding to the abnormal information is in an important functional area in the subsequent process, such as a load-bearing area, a folding area, a coating area, etc.;

[0097] If the regional importance level is higher than or equal to the preset rejection level, it means that the area corresponding to the abnormal information on the target impregnated paper is an important functional area, and the drying effect does not meet the corresponding interval threshold requirements, which will affect the subsequent processing procedures. In this case, the paper surface area grid rejection instruction is executed to reduce potential quality problems and subsequent recall costs;

[0098] If the regional importance level is lower than the preset rejection level, it means that the area corresponding to the abnormal information on the target impregnated paper is a non-important functional area such as a waste area, which will be removed in the subsequent processing steps or has a low impact on the subsequent processing steps. At this time, the parameter values ​​of the first detection data set of each abnormal information in the abnormal information set are determined in turn for comparison and judgment to determine whether the drying effect of the area may affect the molding effects of other adjacent related areas;

[0099] When the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, and the regional water area detection value in the first detection data set exceeds the regional water area threshold interval in the second detection data set, it indicates that both the moisture content detection value and the regional water area exceed the corresponding threshold interval, which may affect the forming effect of other adjacent related areas in subsequent processes, and it is necessary to execute the paper area grid removal instruction. When only any one parameter of the moisture content detection value and the regional water area exceeds the corresponding threshold interval, the possibility of affecting the forming effect of other related areas is small, and the removal instruction is not executed to ensure production efficiency.

[0100] like Fig. 9 As shown, the present invention also provides a detection system for the drying effect of impregnated paper, comprising:

[0101] A data acquisition module, used for determining a number of parameters to be detected related to the drying effect of the target impregnated paper, wherein the values ​​corresponding to the parameters to be detected constitute the detection requirements of the drying effect of the target impregnated paper, and the detection requirements include paper surface area grids assigned with first position identifiers and arranged according to the first position identifiers, and each paper surface area grid corresponds to a set of first detection data obtained by detection;

[0102] A preset detection library, comprising a plurality of preset detection units, each preset detection unit being arranged as a paper surface analysis grid assigned with a second position identifier, each paper surface analysis grid corresponding to a set of preset second detection data sets, and the sorting rules of the first position identifier and the second position identifier being consistent;

[0103] A data response module is used to read the molding requirements of the target impregnated paper when the detection requirements of the drying effect of the target impregnated paper are identified, and determine a number of preset detection units corresponding to the molding requirements in the preset detection library based on the molding requirements;

[0104] A data confirmation module, used to confirm whether the position identifiers of each first detection data set in the paper area grid are the same as the position identifiers of each second detection data set in the paper analysis grid;

[0105] A data verification module, used for comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, and judging the drying effect of the corresponding area of ​​the target impregnated paper according to the comparison result;

[0106] The instruction response module is used to determine the drying effect of the target impregnated paper according to the output abnormal information set, and determine whether to execute the paper surface area grid removal instruction according to the drying effect.

[0107] The present invention can form comprehensive drying effect detection on different areas for different impregnated papers by establishing a preset detection library, ensure that the locally moist or over-dried areas on the impregnated paper can be accurately identified, improve the accuracy of the detection result, and can timely determine the preset detection unit based on the detection request information and quickly compare it, with a fast and efficient response, so as to achieve the purpose of timely elimination, avoid defective products from entering subsequent production processes, reduce the time and cost of manual identification, improve production efficiency, and ensure the quality and use effect of subsequent production products.

[0108] The detection steps and technical effects performed by each module in the above detection system have been described in the above embodiments and will not be repeated here.

[0109] Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for detecting the drying effect of impregnated paper, wherein different functional areas are formed at different locations of the impregnated paper, including a waste area, a load-bearing area, a folding area, and a coating area, and the drying effect required for the corresponding functional area is determined, characterized in that: The following steps are involved: Determine a plurality of parameters to be detected related to the drying effect of the target impregnated paper, wherein the values ​​corresponding to the parameters to be detected constitute the detection requirements of the drying effect of the target impregnated paper, wherein the detection requirements include paper surface area grids assigned with a first position identifier and arranged according to the first position identifier, and each of the paper surface area grids corresponds to a set of first detection data obtained by detection; When the detection requirement of the drying effect of the target impregnated paper is identified, the molding requirement of the target impregnated paper is read, and based on the molding requirement, a plurality of preset detection units corresponding to the molding requirement are determined in a preset detection library, each of the preset detection units is arranged as a paper surface analysis grid assigned with a second position identifier, and each of the paper surface analysis grids corresponds to a set of preset second detection data sets; The sorting rules of the first position identifier and the second position identifier are consistent; confirming whether the position identifiers of each of the first detection data sets in the paper surface area grid are the same as the position identifiers of each of the second detection data sets in the paper surface analysis grid, and if not, re-determining a plurality of preset detection units; If the position identifiers are the same, then the parameter values ​​in the first detection data set are compared with the parameter values ​​in the second detection data set, and the drying effect of the corresponding area of ​​the target impregnated paper is determined according to the comparison result; if the position identifiers are different, then a number of preset detection units are re-determined; The parameters to be detected include moisture content values ​​and regional water-containing areas, the parameter values ​​in each set of the first detection data set include moisture content detection values ​​and regional water-containing area detection values ​​in the corresponding paper surface area grids, and the parameter values ​​in each set of the second detection data set include moisture content threshold intervals and regional water-containing area threshold intervals in the corresponding paper surface analysis grids; The molding requirement also includes a region importance level and a threshold interval set of each parameter to be detected in each level of the region, and the first location identifier has a corresponding first mapping relationship with the threshold interval set; Each of the determined preset detection units is correspondingly provided with a preset threshold interval set for each parameter to be detected, and the second position identifier and the preset threshold interval set have a corresponding second mapping relationship; Before determining whether the location identifiers are the same, the method further includes confirming whether the first mapping relationship and the second mapping relationship are the same, and if the mapping relationships are the same, performing a location identifier confirmation process; The location identification confirmation process includes: confirming whether the number of first position identifiers assigned in the paper area grid is the same as the number of first position identifiers assigned in the paper analysis grid; If they are the same, determine in sequence whether the first position identifier of each first detection data set in the paper area grid and the second position identifier of each second detection data set in the paper analysis grid are the same; if they are different, redefine several preset detection units.

2. The method for detecting the drying effect of impregnated paper according to claim 1, characterized in that: A plurality of humidity sensors are evenly arranged at equal intervals along the width direction of the target impregnated paper, and the moisture content data of the target impregnated paper corresponding to each humidity sensor is obtained by partition detection; When the moisture content data detected by any of the humidity sensors reaches a start threshold, the detection requirement is output.

3. The method for detecting the drying effect of impregnated paper according to claim 1, characterized in that: The corresponding comparison of the parameter values ​​in the first detection data set and the parameter values ​​in the second detection data set includes the following steps: Correspondingly comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, determining whether the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, and whether the regional water-containing area detection value in the first detection data set exceeds the regional water-containing area threshold interval in the second detection data set; When the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, or the regional water content detection value in the first detection data set exceeds the regional water content threshold interval in the second detection data set, the first detection data set and its corresponding location identifier and paper area grid are listed as abnormal information; When the moisture content detection value in the first detection data set does not exceed the moisture content threshold interval in the second detection data set, and the regional water content area detection value in the first detection data set does not exceed the regional water content area threshold interval in the second detection data set, outputting the normal drying effect information of the corresponding area of ​​the target impregnated paper; Compare in sequence a set of first detection data sets obtained by detection corresponding to each of the paper area grids and a set of preset second detection data sets corresponding to each of the paper analysis grids, until all the first detection data sets and the second detection data sets have completed the parameter comparison process; All the abnormal information is integrated to form an abnormal information set, and the abnormal information set is output.

4. The method for detecting the drying effect of impregnated paper according to claim 3, characterized in that: The drying effect of the target impregnated paper is determined according to the output abnormal information set, and whether to execute a paper surface area grid removal instruction is determined according to the drying effect.

5. The method for detecting the drying effect of impregnated paper according to claim 4, characterized in that: Determining the drying effect of the target impregnated paper according to the output abnormal information set comprises the following steps: When the abnormal information set is an empty set, determining that the drying effect of the target impregnated paper is in an ideal state; When the abnormal information set is a non-empty set, it is determined that the drying state of the target impregnated paper is a non-ideal state.

6. The method for detecting the drying effect of impregnated paper according to claim 5, characterized in that: The step of determining whether to execute the paper area grid removal instruction according to the drying effect comprises the following steps: When the drying effect of the target impregnated paper is in an ideal state, the paper surface area grid removal instruction is not executed; When the drying effect of the target impregnated paper is not in an ideal state, sequentially determining the regional importance level corresponding to the position identifier of each piece of the abnormal information in the abnormal information set; If the area importance level is higher than or equal to the preset rejection level, a paper area grid rejection instruction is executed; If the regional importance level is lower than the preset rejection level, then sequentially determining the parameter values ​​of the first detection data set of each piece of the abnormal information in the abnormal information set for comparison and judgment; When the moisture content detection value in the first detection data set exceeds the moisture content threshold interval in the second detection data set, and the regional water area detection value in the first detection data set exceeds the regional water area threshold interval in the second detection data set, the paper area grid removal instruction is executed, otherwise the removal instruction is not executed.

7. A system for detecting the drying effect of impregnated paper, using the method for detecting the drying effect of impregnated paper as claimed in any one of claims 3 to 6, characterized in that: include: A data acquisition module, used for determining a number of parameters to be detected related to the drying effect of the target impregnated paper, wherein the values ​​corresponding to the parameters to be detected constitute the detection requirements of the drying effect of the target impregnated paper, wherein the detection requirements include paper surface area grids assigned with a first position identifier and arranged according to the first position identifier, and each of the paper surface area grids corresponds to a set of first detection data obtained by detection; A preset detection library, comprising a plurality of preset detection units, each of which is arranged as a paper surface analysis grid assigned with a second position identifier, each of which corresponds to a set of preset second detection data sets, and the sorting rules of the first position identifier and the second position identifier are consistent; A data response module, for, when identifying the detection requirement of the drying effect of the target impregnated paper, reading the molding requirement of the target impregnated paper, and determining a plurality of preset detection units corresponding to the molding requirement in a preset detection library based on the molding requirement; A data confirmation module, used to confirm whether the position identifier of each of the first detection data sets in the paper area grid is the same as the position identifier of each of the second detection data sets in the paper analysis grid; A data verification module, used for comparing the parameter values ​​in the first detection data set with the parameter values ​​in the second detection data set, and determining the drying effect of the corresponding area of ​​the target impregnated paper according to the comparison result; The instruction response module is used to determine the drying effect of the target impregnated paper according to the output abnormal information set, and determine whether to execute the paper surface area grid removal instruction according to the drying effect.

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