Sensory quality score-based post-coating absolute dry quantitative process equipment parameter monitoring method and system

Abstract

The invention relates to the technical field of computer systems, in particular to a post-coating absolute dry quantitative process equipment parameter monitoring method and system based on sensory quality scores. The method comprises the steps that the sensory quality score value of reconstituted tobacco to be detected is obtained, the sensory quality score value is a predicted value calculated based on reconstituted tobacco sensory quality score associated process parameters, and the reconstituted tobacco sensory quality score associated process parameters comprise absolute dry quantification after coating; when it is detected that the sensory quality score value is not in the normal value interval, whether the coated absolute dry quantification of the reconstituted tobacco to be detected is in the standard coated absolute dry quantification interval or not is determined; and if not, determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters in the post-coating absolute dry quantitative process equipment parameters. The method aims at solving the problem of how to improve the production stability of the paper-making reconstituted tobacco.

Description

Technical Field

[0001] The present invention relates to the technical field of computer systems, and in particular to a method and system for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring. Background Art

[0002] Reconstituted tobacco is an important part of the tobacco industry, and its quality directly affects the quality of tobacco products. The national standard GB 5606.4-2005 "Cigarettes Part 4: Sensory Technical Requirements" stipulates several rules for judging the sensory quality of cigarettes, and evaluates the sensory quality of cigarettes from aspects such as the appearance, smoke, and aroma of tobacco leaves.

[0003] However, manual smoking evaluation usually involves sampling several cigarettes from a production batch, testing the parameters related to the sensory quality of the cigarettes using chemical experiments, and then combining the subjective judgment of professional smoking testers on the appearance, smoke, aroma and other aspects of the tobacco leaves to score the sensory quality of the cigarettes. If the score is unqualified, all cigarettes in the production batch will be judged as unqualified.

[0004] Related technical solution 1, Chinese patent publication number CN117422330A discloses a method for evaluating the quality of ordinary cigarette tobacco, which discloses the following indicators for evaluating the quality of tobacco: 1. Leaf quality indicators (including leaf moisture content, leaf filling value, leaf whole rate and leaf broken rate); 2. Cigarette physical indicators (including cigarette unit weight, cigarette unit weight standard deviation, cigarette draw resistance, cigarette draw resistance standard deviation, cigarette filter ventilation rate and cigarette filter ventilation rate standard deviation); 3. Smoke indicators (including tar release extremes, carbon monoxide release extremes and smoke nicotine release extremes); 4. Sensory indicators (including gloss, aroma, harmony, miscellaneous smell, irritation and aftertaste). The score of each indicator corresponds to a different weight. The final comprehensive evaluation score of tobacco is obtained by multiplying each indicator by its own weight and adding them together.

[0005] Related technical solution 2, Chinese patent publication number CN110458474A discloses a comprehensive evaluation method for the physical quality of cigarette rolling, which discloses the following 7 indicators for evaluating the quality of cut tobacco: support weight, draw resistance, hardness, ventilation rate, end cut tobacco, dust content and empty head rate. Through data collection, data standardization processing, and principal component analysis of standardized data, a batch of cigarette comprehensive physical quality evaluation model is established, and the cigarette rolling quality is quantitatively scored through the evaluation model.

[0006] However, the above-mentioned related technical solutions all focus on analyzing the indicators of the tobacco itself, and do not involve the research on the indicators and / or equipment process parameters that are correlated with the sensory quality of the reconstituted tobacco in the preparation process of cigarettes, especially the preparation process of reconstituted tobacco leaves. In addition, the above-mentioned technical solutions can only collect samples for testing after a large number of products in the same batch are prepared, and it is impossible to monitor the quality control of the reconstituted tobacco leaves in real time during the preparation process.

[0007] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0008] The main purpose of this application is to provide a method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring, aiming to solve the problem of how to improve the output stability of papermaking reconstituted tobacco.

[0009] To achieve the above-mentioned purpose, the present application provides a method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring, characterized in that the method comprises the following steps:

[0010] Obtaining a sensory quality score value of the reconstituted tobacco to be tested, wherein the sensory quality score value is a predicted value calculated based on a process parameter associated with the sensory quality score of the reconstituted tobacco, and the process parameter associated with the sensory quality score of the reconstituted tobacco includes an absolute dry basis weight after coating;

[0011] When it is detected that the sensory quality score value is not in the normal value range, determining whether the absolute dry weight after coating of the reconstituted tobacco leaf to be tested is in the standard absolute dry weight after coating range;

[0012] If not, the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters are determined and output.

[0013] Optionally, the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among various post-coating absolute dry quantitative process equipment parameters comprises:

[0014] Determine whether the post-coating absolute dry quantitative process equipment parameter is within a preset standard parameter range, and if not, determine the post-coating absolute dry quantitative process equipment parameter as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0015] Each of the post-coating absolute dry quantitative process equipment parameters is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

[0016] Optionally, the post-coating absolute dry quantitative process equipment parameters include coating liquid concentration, and the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes:

[0017] Obtaining the Brix value of the coating liquid concentration acquisition device, and using the Brix value as the coating liquid concentration, or obtaining the concentration data collected and converted by the mass transmitter, and determining the coating liquid concentration according to the concentration data;

[0018] Determine whether the coating liquid concentration is within the standard coating liquid concentration range, and if not, determine the coating liquid concentration as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0019] The coating liquid concentration is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

[0020] Optionally, the post-coating absolute dry quantitative process equipment parameter includes coating roller pressure, and the step of determining and outputting an abnormal target post-coating absolute dry quantitative process equipment parameter among various post-coating absolute dry quantitative process equipment parameters includes:

[0021] Collecting pressure data of the pressure sensor arranged on the coating roller during the coating process;

[0022] Determining the coating roller pressure according to the pressure data;

[0023] Determine whether the coating roller pressure is in the standard coating roller pressure range, if not, determine the coating roller pressure as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0024] The coating roller pressure is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

[0025] Optionally, the post-coating absolute dry quantitative process equipment parameters include the amount of additives used, and the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes:

[0026] Collecting additive dosage data in additive coating device;

[0027] Determining the usage amount of the additive according to the additive amount data;

[0028] Determine whether the additive usage is within the standard additive usage range, and if not, determine the additive usage as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0029] The amount of the additive used is output as a parameter of the absolute dry quantitative process equipment after coating of the abnormal target.

[0030] Optionally, the post-coating absolute dry quantitative process equipment parameters include the post-coating absolute dry quantitative process equipment parameters, and the step of determining and outputting the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes:

[0031] Determine the target process equipment parameter associated with the absolute dry weight before coating, wherein the target process equipment parameter includes at least one of sizing amount, retention rate, and base uniformity;

[0032] Determine whether the target process equipment parameters are in their respective corresponding preset standard intervals, and if not, determine the target process equipment parameters that are not in the preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameters; or,

[0033] The target process equipment parameters are output as the abnormal target absolute dry quantitative process equipment parameters after coating.

[0034] Optionally, the target process equipment parameter is obtained by at least one of the following methods:

[0035] Obtaining flow data of a flow meter during an absolute dry quantitative process of a slurry pipeline before coating, and determining the sizing amount according to the flow data;

[0036] Obtaining the absolute dry amount of retained slurry and the absolute dry amount of slurry collected by the absolute dry amount collection system, and determining the ratio between the absolute dry amount of retained slurry and the absolute dry amount of slurry as the retention rate;

[0037] Get the uniformity of the substrate captured in the banner scanning frame.

[0038] Optionally, the post-coating absolute dry weight process equipment parameter includes a paper machine speed, and the step of determining and outputting an abnormal target post-coating absolute dry weight process equipment parameter among the post-coating absolute dry weight process equipment parameters includes:

[0039] Collecting the running speed of the paper machine as the speed of the paper machine;

[0040] Determine whether the paper machine speed is within the standard paper machine speed range, and if not, determine the paper machine speed as the abnormal target post-coating absolute dry weight process equipment parameter and output it; or,

[0041] The paper machine speed is output as the abnormal target post-coating absolute dry weight process equipment parameter.

[0042] Optionally, the post-coating absolute dry quantitative process equipment parameters include the coating liquid temperature, and the step of determining and outputting the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes:

[0043] Determining a second target process equipment parameter associated with the coating liquid temperature, wherein the second target process equipment parameter includes steam usage and / or coating liquid heating time;

[0044] Determine whether the second target process equipment parameter is in the respective corresponding second preset standard interval, if not, determine the target process equipment parameter that is not in the second preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameter; or,

[0045] The second target process equipment parameter is output as the abnormal target absolute dry quantitative process equipment parameter after coating.

[0046] Optionally, the second target process equipment parameter is obtained in at least one of the following ways:

[0047] Acquire steam usage data collected by a steam flow monitoring module, and determine the steam usage according to the steam usage data;

[0048] The operating time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process is collected as the coating liquid heating time.

[0049] Optionally, the post-coating absolute dry quantitative process equipment parameters include a base absorption performance value, and the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes:

[0050] Obtaining a film base absorption performance value, wherein the film base absorption performance value is related to the bulk of the film base;

[0051] Determine whether the base absorption performance value is within the standard base absorption performance value range, if not, determine the base absorption performance value as the post-coating absolute dry quantitative process equipment parameter of the abnormal target and output it; or,

[0052] The base absorption performance value is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

[0053] Optionally, it is characterized in that the standard absolute dry weight range after coating is 95.0g / m 2 ±10.0g / m 2 .

[0054] In addition, to achieve the above-mentioned purpose, the present application also provides a papermaking method reconstituted tobacco system, which includes: a memory, a processor, and a post-coating absolute dry quantitative process equipment parameter monitoring program based on sensory quality scoring stored in the memory and executable on the processor, wherein the post-coating absolute dry quantitative process equipment parameter monitoring program based on sensory quality scoring implements the steps of the post-coating absolute dry quantitative process equipment parameter monitoring method based on sensory quality scoring as described above when executed by the processor.

[0055] This application has at least the following beneficial effects:

[0056] 1. The tobacco process parameters that have a strong correlation with the sensory quality score in the production process of papermaking reconstituted tobacco leaves, as well as the equipment parameters associated with the tobacco process parameters, were explored, so as to achieve the correlation between the sensory quality score, tobacco process parameters and equipment parameters;

[0057] 2. Convert the sensory quality score obtained by traditional manual smoking evaluation into a real-time calculation by the system based on tobacco process parameters, so as to realize the efficient application of sensory quality score in the industrial production of papermaking reconstituted tobacco;

[0058] 3. Monitor various equipment parameters in the production process of paper-making reconstituted tobacco leaves through sensory quality scores. When the sensory quality score of the reconstituted tobacco leaves to be tested as the test sample is abnormal, determine which reconstituted tobacco leaf process parameter is abnormal, and the equipment parameters related to the abnormal reconstituted tobacco leaf process parameter, so as to achieve real-time monitoring of key parameters affecting the sensory quality score in the production process of paper-making reconstituted tobacco leaves, and provide timely feedback when abnormalities occur, so as to ensure the product stability in the production process of paper-making reconstituted tobacco leaves;

[0059] 4. Based on the reconstituted tobacco process parameters that have a strong correlation with the sensory quality score values, the normal standard ranges corresponding to these reconstituted tobacco process parameters were further explored. Reconstituted tobacco process parameters that exceeded the normal standard range were deemed to be reconstituted tobacco process parameters that may reduce the sensory quality score values, thereby ensuring product stability in the papermaking reconstituted tobacco production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a schematic diagram of the architecture of the hardware operating environment of the papermaking process reconstituted tobacco system involved in the embodiment of the present application;

[0061] Figure 2 This is a flow chart of the first embodiment of the method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring of the present application;

[0062] Figure 3It is a schematic diagram of the fitting curve of the absolute dry weight and sensory evaluation score after coating involved in the embodiments of the present application;

[0063] Figure 4 This is a schematic diagram of the correlation between the absolute dry weight after coating and the sensory quality score selected from the correlation table involved in the embodiments of the present application;

[0064] Figure 5 This is a flow chart of a second embodiment of the method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring of the present application.

[0065] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0066] In order to better understand the above technical solution, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0067] As an implementation plan, Figure 1 This is a schematic diagram of the architecture of the hardware operating environment of the papermaking reconstituted tobacco system involved in the embodiment of the present application.

[0068] like Figure 1 As shown, the papermaking method reconstituted tobacco leaf system may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0069] Those skilled in the art will understand that Figure 1 The architecture of the reconstituted tobacco system for papermaking shown in the figure does not constitute a limitation of the reconstituted tobacco system for papermaking, and may include more or less components than those shown in the figure, or a combination of certain components, or a different arrangement of components.

[0070] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a monitoring program for parameters of post-coating absolute dry basis weight process equipment based on sensory quality score. Among them, the operating system is a program for managing and controlling the hardware and software resources of the papermaking process reconstituted tobacco system, the monitoring program for parameters of post-coating absolute dry basis weight process equipment based on sensory quality score, and the operation of other software or programs.

[0071] exist Figure 1 In the papermaking reconstituted tobacco system shown, the user interface 1003 is mainly used to connect to the terminal and communicate data with the terminal; the network interface 1004 is mainly used for the background server and communicates data with the background server; the processor 1001 can be used to call the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005.

[0072] In this embodiment, the papermaking process reconstituted tobacco system includes: a memory 1005, a processor 1001, and a post-coating absolute dry quantitative process equipment parameter monitoring program based on sensory quality score stored in the memory and executable on the processor, wherein:

[0073] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0074] Obtaining a sensory quality score value of the reconstituted tobacco to be tested, wherein the sensory quality score value is a predicted value calculated based on a process parameter associated with the sensory quality score of the reconstituted tobacco, and the process parameter associated with the sensory quality score of the reconstituted tobacco includes an absolute dry basis weight after coating;

[0075] When it is detected that the sensory quality score value is not in the normal value range, determining whether the absolute dry weight after coating of the reconstituted tobacco leaf to be tested is in the standard absolute dry weight after coating range;

[0076] If not, the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters are determined and output.

[0077] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0078] Determine whether the post-coating absolute dry quantitative process equipment parameter is within a preset standard parameter range, and if not, determine the post-coating absolute dry quantitative process equipment parameter as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0079] Each of the post-coating absolute dry quantitative process equipment parameters is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

[0080] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0081] Obtaining the Brix value of the coating liquid concentration acquisition device, and using the Brix value as the coating liquid concentration, or obtaining the concentration data collected and converted by the mass transmitter, and determining the coating liquid concentration according to the concentration data;

[0082] Determine whether the coating liquid concentration is within the standard coating liquid concentration range, and if not, determine the coating liquid concentration as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0083] The coating liquid concentration is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

[0084] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0085] Collecting pressure data of the pressure sensor arranged on the coating roller during the coating process;

[0086] Determining the coating roller pressure according to the pressure data;

[0087] Determine whether the coating roller pressure is in the standard coating roller pressure range, if not, determine the coating roller pressure as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0088] The coating roller pressure is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

[0089] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0090] Collecting additive dosage data in additive coating device;

[0091] Determining the usage amount of the additive according to the additive amount data;

[0092] Determine whether the additive usage is within the standard additive usage range, and if not, determine the additive usage as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or,

[0093] The amount of the additive used is output as a parameter of the absolute dry quantitative process equipment after coating of the abnormal target.

[0094] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0095] Determine the target process equipment parameter associated with the absolute dry weight before coating, wherein the target process equipment parameter includes at least one of sizing amount, retention rate, and base uniformity;

[0096] Determine whether the target process equipment parameters are in their respective corresponding preset standard intervals, and if not, determine the target process equipment parameters that are not in the preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameters; or,

[0097] The target process equipment parameters are output as the abnormal target absolute dry quantitative process equipment parameters after coating.

[0098] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0099] Obtaining flow data of a flow meter during an absolute dry quantitative process of a slurry pipeline before coating, and determining the sizing amount according to the flow data;

[0100] Obtaining the absolute dry amount of retained slurry and the absolute dry amount of slurry collected by the absolute dry amount collection system, and determining the ratio between the absolute dry amount of retained slurry and the absolute dry amount of slurry as the retention rate;

[0101] Get the uniformity of the substrate captured in the banner scanning frame.

[0102] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0103] Collecting the running speed of the paper machine as the speed of the paper machine;

[0104] Determine whether the paper machine speed is within the standard paper machine speed range, and if not, determine the paper machine speed as the abnormal target post-coating absolute dry weight process equipment parameter and output it; or,

[0105] The paper machine speed is output as the abnormal target post-coating absolute dry weight process equipment parameter.

[0106] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0107] Determining a second target process equipment parameter associated with the coating liquid temperature, wherein the second target process equipment parameter includes steam usage and / or coating liquid heating time;

[0108] Determine whether the second target process equipment parameter is in the respective corresponding second preset standard interval, if not, determine the target process equipment parameter that is not in the second preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameter; or,

[0109] The second target process equipment parameter is output as the abnormal target absolute dry quantitative process equipment parameter after coating.

[0110] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0111] Acquire steam usage data collected by a steam flow monitoring module, and determine the steam usage according to the steam usage data;

[0112] The operating time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process is collected as the coating liquid heating time.

[0113] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0114] Obtaining a film base absorption performance value, wherein the film base absorption performance value is related to the bulk of the film base;

[0115] Determine whether the base absorption performance value is within the standard base absorption performance value range, if not, determine the base absorption performance value as the abnormal target after coating absolute dry quantitative process equipment parameter and output it; or,

[0116] The base absorption performance value is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

[0117] When the processor 1001 calls the post-coating absolute dry quantitative process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0118] The standard absolute dry weight range after coating is 95.0 g / m 2 ±10.0g / m 2 .

[0119] Based on the hardware architecture of the papermaking reconstituted tobacco system of the above-mentioned computer system technology, an embodiment of the method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring of the present application is proposed.

[0120] Reference Figure 2 In a first embodiment, the method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring comprises the following steps:

[0121] Step S10, obtaining a sensory quality score value of the reconstituted tobacco to be tested, wherein the sensory quality score value is a predicted value calculated based on the sensory quality score-related process parameters of the reconstituted tobacco, and the sensory quality score-related process parameters of the reconstituted tobacco include the absolute dry weight after coating;

[0122] In this embodiment, the sensory quality score of the reconstituted tobacco to be tested is firstly obtained.

[0123] It should be noted that the reconstituted tobacco leaves to be tested refer to the reconstituted tobacco leaves that have gone through the reconstituted tobacco process and are waiting to be tested to see if their quality meets the sensory quality standards.

[0124] Optionally, the reconstituted tobacco leaves to be tested can be sampled from a product batch previously produced in the production batch, as the reconstituted tobacco leaves to be tested.

[0125] It should be noted that the sensory quality score is a predicted value calculated based on the process parameters associated with the sensory quality score of reconstituted tobacco leaves, that is, the system calculates the predicted value through a deep learning model based on the process parameters that affect the sensory quality of reconstituted tobacco leaves during the preparation process of papermaking reconstituted tobacco leaves, rather than a score value after manual smoking evaluation.

[0126] In this embodiment, in order to study which parameters are "associated process parameters" that are strongly correlated with the sensory quality score of papermaking reconstituted tobacco, corresponding statistics are performed based on the existing production database Uniformence and combined with the actual sensory quality manual smoking scores, thereby determining the fitting curve in the tobacco process parameters.

[0127] For example, see Figure 3 A schematic diagram of the fitting curve of the absolute dry weight and sensory evaluation score after coating is shown.

[0128] After determining the fitting curve, Minitab was further used to perform correlation analysis on the key process parameters involved, referring to the corresponding table between the correlation coefficient and the correlation strength shown in Table 1:

[0129] Table 1. Correspondence between correlation coefficient and correlation strength

[0130] Correlation coefficient Strength of association 0.8-10 Very strong correlation 0.6-0.8 Strong correlation 0.4-0.6 Moderately strong correlation 0.2-0.4 Weak correlation 0.0-0.2 Very weak or no correlation

[0131] Based on the relationship correspondence table given in Table 1, the correlation coefficient of the absolute dry quantity after coating is 0.811.

[0132] Furthermore, after determining that the associated process parameter is the absolute dry weight after coating, during the papermaking process of reconstituted tobacco leaves, the system collects the absolute dry weight after coating in the reconstituted tobacco leaves in real time, and inputs the absolute dry weight after coating into the trained sensory quality score calculation model constructed based on the deep learning model. The sensory quality score calculation module based on the absolute dry weight after coating in the sensory quality score calculation model simulates and predicts the sensory quality score value corresponding to the absolute dry weight after coating.

[0133] In order to ensure that the sensory quality score calculated by the model is close enough to the sensory quality score after manual smoking, during the training process, we collected a large number of reconstituted tobacco leaves produced in historical batches and scored them through manual smoking. We obtained a correlation table between the sensory quality score and the post-coating absolute dry weight of a large number of reconstituted tobacco leaves. Figure 4 This is a schematic diagram of the correlation between the absolute dry weight of reconstituted tobacco leaves after coating and the sensory quality score selected from the correlation table (the specific values ​​of the sensory quality score are omitted due to industrial secrets). Using the data in this correlation table, multiple deep learning training and algorithm optimization were carried out. After testing, the accuracy of the final model reached 92.3%.

[0134] It should be noted that the construction method of the sensory quality score module based on the absolute dry quantitative calculation after coating in the specific sensory quality score calculation model is not the public focus of this proposal. This proposal aims to explain the correlation between the sensory quality score and the sensory quality process parameters of reconstituted tobacco leaves.

[0135] Step S20, when it is detected that the sensory quality score value is not in the normal value range, determining whether the absolute dry weight after coating of the reconstituted tobacco leaf to be tested is in the standard absolute dry weight after coating range;

[0136] Step S30: If not, determine and output the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters.

[0137] In this embodiment, after obtaining the sensory quality score of the reconstituted tobacco leaves to be tested, it is determined whether the numerical interval of the sensory quality score is in the normal value interval. When it is detected that the sensory quality score is not in the normal value interval, it is determined that the absolute dry weight after coating of the reconstituted tobacco leaves to be tested is abnormal. The absolute dry weight after coating is used as the target tobacco leaf process parameter to be tested. When it is determined that the absolute dry weight after coating is not in its corresponding standard absolute dry weight after coating interval, the abnormal target absolute dry weight after coating process equipment parameters among the absolute dry weight process equipment parameters after coating are determined and output.

[0138] Optionally, the normal value interval of the sensory quality score can be set to a fixed value of ±1; wherein the fixed value can be set according to the specific processing scenario of the reconstituted tobacco leaves.

[0139] Further, in this embodiment, when it is determined that the absolute dry weight after coating is not within the normal value range, the absolute dry weight after coating corresponds to one or more target reconstituted tobacco equipment parameters, and the target reconstituted tobacco equipment parameters refer to the parameters corresponding to the equipment that affects the absolute dry weight after coating in the papermaking process of reconstituted tobacco. The specific absolute dry weight after coating and the corresponding abnormal target reconstituted tobacco equipment parameters are described in subsequent embodiments and will not be repeated here.

[0140] Optionally, in some embodiments, the output method can be to display the specific abnormal tobacco leaf process parameter name, the equipment information of the abnormal equipment, and the corresponding operating parameter name of the equipment to the background user terminal, and the staff will promptly execute the corresponding emergency handling strategy after receiving this information in the background.

[0141] Optionally, in some embodiments, the output method can also be to send a prompt message to the monitoring end in the process link where the abnormal tobacco process parameters are located, so as to alert the supervisor in the process link that the operating parameters of the equipment in the link are abnormal.

[0142] Optionally, in some embodiments, the output method can also be to send the abnormal target reconstituted tobacco equipment parameters to the intelligent control end of the system, and the intelligent control end adjusts the equipment parameters according to the abnormal target reconstituted tobacco equipment parameters to restore it to normal operating parameters.

[0143] In addition, it should be noted that, in the present embodiment, the reason why the quality control stability of the reconstructed tobacco leaves in the papermaking process is monitored by monitoring the value of the sensory quality score, rather than directly monitoring according to the value of the absolute dry weight after coating, is that there are a variety of quality monitoring indicators in the production process of reconstructed tobacco leaves, but the general monitoring indicators are only for assessing the output grade of the reconstructed tobacco leaves, which does not affect whether the reconstructed tobacco leaves are qualified; and the sensory quality score value is an indicator with a veto nature as to whether the production of the reconstructed tobacco leaves is qualified.

[0144] In the actual papermaking process of reconstituted tobacco leaves, we allow a certain fluctuation in the numerical range of the absolute dry weight of the reconstituted tobacco leaves after coating. Therefore, even if the absolute dry weight of a batch of reconstituted tobacco leaves after coating deviates from the preset numerical range, but does not cause the sensory quality score value monitored by the system to deviate from the normal value range, we still regard the output of this batch of reconstituted tobacco leaves as qualified, and do not regard the absolute dry weight after coating as an abnormal process parameter. In other words, the absolute dry weight after coating is only regarded as an abnormal process parameter when it is monitored that the sensory quality score value predicted based on the absolute dry weight after coating is abnormal and the value of the absolute dry weight after coating is also abnormal.

[0145] In the technical solution provided in this embodiment, by obtaining the sensory quality score value of the reconstituted tobacco to be tested calculated based on the process parameters associated with the sensory quality score of the reconstituted tobacco, when the sensory quality score value is abnormal, it is judged whether the absolute dry weight after coating is abnormal, and when the absolute dry weight after coating is abnormal, the abnormal equipment parameters related to the absolute dry weight after coating are output, thereby realizing real-time monitoring of the key parameters affecting the sensory quality score in the production process of papermaking reconstituted tobacco, and timely feedback when abnormalities occur, thereby ensuring the product stability in the production process of papermaking reconstituted tobacco.

[0146] Second embodiment

[0147] Reference Figure 5 In this embodiment, based on the first embodiment, the post-coating absolute dry quantitative process equipment parameters include the sizing amount, and the step S30 includes:

[0148] Step S311, determining whether the post-coating absolute dry quantitative process equipment parameter is within a preset standard parameter range, and if not, determining the post-coating absolute dry quantitative process equipment parameter as the abnormal target post-coating absolute dry quantitative process equipment parameter and outputting it;

[0149] Alternatively, in step S312, each of the post-coating absolute dry quantitative process equipment parameters is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

[0150] This embodiment provides two different abnormal target post-coating absolute dry quantitative process equipment parameter judgment schemes:

[0151] 1. A standard parameter range is preset for each post-coating absolute dry quantitative process equipment parameter to determine whether the value of the equipment parameter falls within the range. If not, it is determined to be an abnormal equipment parameter.

[0152] Second, each process equipment parameter is directly regarded as abnormal and output as the abnormal process equipment parameter.

[0153] For one solution, each parameter is set with a standard parameter range, and whether it is abnormal is judged based on the range, and only the abnormal ones are output.

[0154] For the second solution, each process equipment parameter is directly output as an abnormal equipment parameter, and the background staff checks each process equipment parameter one by one.

[0155] Third embodiment

[0156] In this embodiment, based on the first or second embodiment, the post-coating absolute dry quantitative process equipment parameters include the coating liquid concentration, which can be a collected value or a calculated value. The Brix value is used to reflect the coating liquid concentration for monitoring and measurement, and it can also be collected and converted by a mass transmitter to present a specific concentration value. There is a positive correlation between the coating liquid concentration and the post-coating quantitative. Among them, the step S30 includes:

[0157] Step S32, obtaining the Brix value of the coating liquid concentration acquisition device, using the Brix value as the coating liquid concentration, or obtaining the concentration data collected and converted by the mass transmitter, and determining the coating liquid concentration according to the concentration data;

[0158] Step S331, determining whether the coating liquid concentration is within the standard coating liquid concentration range, if not, determining the coating liquid concentration as the abnormal target post-coating absolute dry quantitative process equipment parameter and outputting it;

[0159] Alternatively, in step S332, the coating liquid concentration is output as the parameter of the abnormal target absolute dry quantitative process equipment after coating.

[0160] Fourth embodiment

[0161] In this embodiment, based on the first or second embodiment, the post-coating absolute dry quantitative process equipment parameters include coating roller pressure, which refers to the pressure value when the coating roller applies the coating to the surface of the base material, and can be directly collected by the system, wherein the coating roller pressure is negatively correlated with the post-coating quantitative amount.

[0162] Wherein, the step S30 includes:

[0163] Step S34, collecting pressure data of a pressure sensor provided on the coating roller during the coating process;

[0164] Step S35, determining the coating roller pressure according to the pressure data;

[0165] Step S361, determining whether the coating roller pressure is in the standard coating roller pressure range, if not, determining the coating roller pressure as the abnormal target post-coating absolute dry quantitative process equipment parameter and outputting it;

[0166] Alternatively, in step S362, the coating roller pressure is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

[0167] Fifth embodiment

[0168] Based on the first or second embodiment, in this embodiment, the absolute dry quantitative process equipment parameters after coating include the amount of additives used, and the amount of additives used refers to all substances in the coating liquid except the concentrated liquid, including flavors and fragrances, calcium carbonate, propylene glycol, glycerin, etc., among which calcium carbonate in particular in the additives will directly increase the quantitative amount after coating. Therefore, the amount of additives used is positively correlated with the quantitative amount after coating.

[0169] Wherein, the step S30 includes:

[0170] Step S37, collecting the additive amount data in the additive coating device;

[0171] Step S38, determining the additive usage according to the additive dosage data;

[0172] Step S391, determining whether the additive usage is within the standard additive usage range, if not, determining the additive usage as the abnormal target post-coating absolute dry quantitative process equipment parameter and outputting it;

[0173] Alternatively, in step S392, the amount of the additive used is output as a parameter of the absolute dry quantitative process equipment after coating of the abnormal target.

[0174] It should be noted that the standard additive usage range can be the numerical range corresponding to each substance in the additive, or it can be the numerical range of the total additive usage.

[0175] It is understandable that if it is difficult to set the additive usage range, the solution in step S392 is adopted to directly output the additive usage as the parameter of the absolute dry quantitative process equipment after the abnormal target coating for background personnel to check.

[0176] Sixth embodiment

[0177] Based on the first or second embodiment, in this embodiment, the process equipment parameters of the absolute dry weight after coating include the absolute dry weight before coating, and the absolute dry weight before coating will also affect the absolute dry weight after coating, and the two are positively correlated. When the quantitative value after coating is abnormal, the equipment parameters affecting the absolute dry weight before coating can be detected, including at least one of the sizing amount, retention rate, and base uniformity, and the absolute dry weight before coating is adjusted by adjusting the equipment parameters affecting the absolute dry weight before coating, thereby adjusting the numerical value of the quantitative value after coating.

[0178] The sizing amount refers to the slurry flow rate required to meet the quantitative requirements. Optionally, a flow meter can be set in the slurry pipeline in the coating process, and the system can collect the sizing amount by collecting the flow data on the flow meter. Among them, the sizing amount is positively correlated with the absolute dry weight before coating within a certain numerical range.

[0179] Retention rate (also known as filler retention rate) refers to the proportion of fillers or fibers retained in paper during the papermaking process, that is, the percentage of fillers in paper to fillers in the slurry. Retention rate is positively correlated with the absolute dry weight before coating.

[0180] In addition, the retention rate is a calculated value, calculated as follows:

[0181] Retention rate = absolute dry weight of retained slurry / absolute dry weight of slurry * 100%

[0182] Among them, the absolute dry amount of retained slurry and the absolute dry amount of slurry are both the collection amounts of the system.

[0183] The base uniformity refers to the quantitative value of the consistency of the base material of the reconstituted tobacco leaves on the entire paper web. The base uniformity is monitored in real time by a horizontal scanning frame and adjusted in linkage by the quality control system. The better the base uniformity, the more stable the absolute dry weight before coating. Conversely, the worse the uniformity, the greater the fluctuation of the absolute dry weight.

[0184] Wherein, the step S30 includes:

[0185] Step S310, determining the target process equipment parameters associated with the absolute dry weight before coating, wherein the target process equipment parameters include at least one of sizing amount, retention rate, and base uniformity;

[0186] Step S3111, determining whether the target process equipment parameters are in the respective corresponding preset standard intervals, if not, determining the target process equipment parameters that are not in the preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameters; or,

[0187] Step S3112, outputting the target process equipment parameters as the abnormal target absolute dry quantitative process equipment parameters after coating.

[0188] Furthermore, the target process equipment parameters are obtained by at least one of the following methods:

[0189] (1) obtaining flow data of a flow meter in a slurry pipeline during an absolute dry quantitative process before coating, and determining the sizing amount according to the flow data;

[0190] (2) obtaining the absolute dry amount of retained slurry and the absolute dry amount of slurry collected by the absolute dry amount collection system, and determining the ratio between the absolute dry amount of retained slurry and the absolute dry amount of slurry as the retention rate;

[0191] (3) Obtain the uniformity of the film base collected in the banner scanning frame.

[0192] In this embodiment, when it is detected that the value of the absolute dry weight after coating is abnormal, the sizing amount, retention rate, and sheet base uniformity related to the absolute dry weight before coating are detected to be too large / too small, and when it is found that these equipment parameters are too large / too small, the parameters are quickly adjusted to regulate the absolute dry weight before coating of the papermaking reconstructed tobacco, thereby changing the absolute dry weight after coating.

[0193] Seventh embodiment

[0194] Based on the first or second embodiment, in this embodiment, the post-coating absolute dry basis weight process equipment parameters include the paper machine speed, which refers to the running speed of the paper machine, which is determined by the driving wire roller of the paper machine's fourdrinier wire and can be directly collected by the system, wherein the paper machine speed and the post-coating basis weight are negatively correlated. Wherein, the step S30 includes:

[0195] Step S312, collecting the running speed of the paper machine as the paper machine speed;

[0196] Step S3131, determining whether the paper machine speed is in the standard paper machine speed range, if not, determining the paper machine speed as the abnormal target post-coating absolute dry weight process equipment parameter and outputting it; or,

[0197] Step S3132, outputting the paper machine speed as the abnormal target post-coating absolute dry basis weight process equipment parameter.

[0198] Eighth embodiment

[0199] Based on the first or second embodiment, in this embodiment, the post-coating absolute dry quantitative process equipment parameters include the coating liquid temperature. In addition, the coating liquid temperature will also affect the size of the post-coating quantitative amount. When the coating liquid temperature increases, the coating liquid viscosity increases, and the post-coating quantitative amount will also increase. Therefore, when the post-coating quantitative value is abnormal, the equipment parameters affecting the coating liquid temperature can be detected. By adjusting the equipment parameters affecting the coating liquid temperature, the coating liquid temperature can be adjusted, and then the numerical size of the post-coating quantitative amount can be adjusted.

[0200] The steam consumption of the heat exchanger refers to the amount of steam required by the heat exchanger used to heat the coating liquid. The steam consumption data can be directly collected through the built-in steam flow monitoring module. The steam consumption is positively correlated with the coating liquid temperature.

[0201] The coating liquid heating time refers to the time required to heat the coating liquid to the temperature required by the process. This operating parameter is a collected value. The coating liquid heating time is positively correlated with the coating liquid temperature.

[0202] Wherein, the step S30 includes:

[0203] Step S314, determining a second target process equipment parameter associated with the coating liquid temperature, wherein the second target process equipment parameter includes steam usage and / or coating liquid heating time;

[0204] Step S3151, determining whether the second target process equipment parameter is in the respective corresponding second preset standard interval, if not, determining the target process equipment parameter that is not in the second preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameter; or,

[0205] Step S3152, outputting the second target process equipment parameters as the abnormal target absolute dry quantitative process equipment parameters after coating.

[0206] Furthermore, the second target process equipment parameter is obtained in at least one of the following ways:

[0207] Acquire steam usage data collected by a steam flow monitoring module, and determine the steam usage according to the steam usage data;

[0208] The operating time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process is collected as the coating liquid heating time.

[0209] Ninth embodiment

[0210] Based on the first or second embodiment, in this embodiment, the post-coating absolute dry quantitative process equipment parameters include the base absorption performance value, which refers to the quantitative value of the base absorption performance, which is related to the material of the base, and is positively correlated with the bulk thickness of the base within a certain numerical range. The base absorption performance value is a parameter value predetermined in the papermaking process, and the base absorption performance value can be changed by changing the bulk thickness of the base. Under the same conditions, the better the base absorption performance, the higher the post-coating quantitative, but there is an extreme value, so the base absorption performance is positively correlated with the post-coating quantitative within a certain range. Wherein, the step S30 includes:

[0211] Step S316, obtaining a film base absorption performance value, wherein the film base absorption performance value is related to the bulk of the film base;

[0212] Step S3171, determining whether the base absorption performance value is within the standard base absorption performance value range, if not, determining the base absorption performance value as the abnormal target post-coating absolute dry quantitative process equipment parameter and outputting it;

[0213] Alternatively, in step S3172, the base absorption performance value is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

[0214] It is understandable that if it is difficult to set the additive usage range, the solution in step S3172 is adopted to directly output the film base absorption performance value as the absolute dry quantitative process equipment parameter after abnormal target coating, so that the back-end personnel can check whether the bulk thickness of the film base needs to be adjusted.

[0215] Tenth embodiment

[0216] Based on any of the above embodiments, the standard absolute dry weight range after coating is 95.0 g / m 2 ±10.0g / m 2 .

[0217] In addition, it can be understood by a person skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the papermaking process reconstituted tobacco system to implement the process steps of the embodiment of the above method.

[0218] Therefore, the present application also provides a computer-readable storage medium, which stores a program for monitoring parameters of absolute dry quantitative process equipment after coating based on sensory quality scoring. When the program for monitoring parameters of absolute dry quantitative process equipment after coating based on sensory quality scoring is executed by a processor, the various steps of the method for monitoring parameters of absolute dry quantitative process equipment after coating based on sensory quality scoring as described in the above embodiment are implemented.

[0219] The computer-readable storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which are computer-readable storage media that can store program codes.

[0220] It should be noted that since the storage medium provided in the embodiment of the present application is the storage medium used to implement the method of the embodiment of the present application, based on the method introduced in the embodiment of the present application, the person skilled in the art can understand the specific structure and deformation of the storage medium, so it is not repeated here. All storage media used in the method of the embodiment of the present application belong to the scope of protection of this application.

[0221] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0222] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0223] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0224] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0225] It should be noted that in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The present application may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0226] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0227] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for monitoring parameters of post-coating absolute dry quantitative process equipment based on sensory quality scoring, characterized in that: The method comprises the following steps: Obtaining a sensory quality score value of the reconstituted tobacco to be tested, wherein the sensory quality score value is a predicted value calculated based on a process parameter associated with the sensory quality score of the reconstituted tobacco, and the process parameter associated with the sensory quality score of the reconstituted tobacco includes an absolute dry basis weight after coating; When it is detected that the sensory quality score value is not in the normal value range, determining whether the absolute dry weight after coating of the reconstituted tobacco leaf to be tested is in the standard absolute dry weight after coating range; If not, the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters are determined and output.

2. The method according to claim 1, characterized in that The step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among various post-coating absolute dry quantitative process equipment parameters comprises: Determine whether the post-coating absolute dry quantitative process equipment parameter is within a preset standard parameter range, and if not, determine the post-coating absolute dry quantitative process equipment parameter as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or, Each of the post-coating absolute dry quantitative process equipment parameters is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

3. The method according to claim 2, characterized in that The post-coating absolute dry quantitative process equipment parameters include the coating liquid concentration, and the step of determining and outputting the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes: Obtaining the Brix value of the coating liquid concentration acquisition device, and using the Brix value as the coating liquid concentration, or obtaining the concentration data collected and converted by the mass transmitter, and determining the coating liquid concentration according to the concentration data; Determine whether the coating liquid concentration is within the standard coating liquid concentration range, and if not, determine the coating liquid concentration as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or, The coating liquid concentration is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

4. The method according to claim 2, characterized in that The post-coating absolute dry quantitative process equipment parameters include coating roller pressure, and the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes: Collecting pressure data of the pressure sensor arranged on the coating roller during the coating process; Determining the coating roller pressure according to the pressure data; Determine whether the coating roller pressure is in the standard coating roller pressure range, if not, determine the coating roller pressure as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or, The coating roller pressure is output as the abnormal target post-coating absolute dry quantitative process equipment parameter.

5. The method according to claim 2, characterized in that The post-coating absolute dry quantitative process equipment parameters include the amount of additives used, and the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes: Collecting additive dosage data in additive coating device; Determining the usage amount of the additive according to the additive amount data; Determine whether the additive usage is within the standard additive usage range, and if not, determine the additive usage as the abnormal target post-coating absolute dry quantitative process equipment parameter and output it; or, The amount of the additive used is output as a parameter of the absolute dry quantitative process equipment after coating of the abnormal target.

6. The method according to claim 2, characterized in that The absolute dry quantitative process equipment parameters after coating include the absolute dry quantitative before coating, and the step of determining and outputting the abnormal target absolute dry quantitative process equipment parameters after coating among the absolute dry quantitative process equipment parameters after coating includes: Determine the target process equipment parameter associated with the absolute dry weight before coating, wherein the target process equipment parameter includes at least one of sizing amount, retention rate, and base uniformity; Determine whether the target process equipment parameters are in their respective corresponding preset standard intervals, and if not, determine the target process equipment parameters that are not in the preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameters; or, The target process equipment parameters are output as the abnormal target absolute dry quantitative process equipment parameters after coating.

7. The method according to claim 6, characterized in that The target process equipment parameters are obtained in at least one of the following ways: Obtaining flow data of a flow meter during an absolute dry quantitative process of a slurry pipeline before coating, and determining the sizing amount according to the flow data; Obtaining the absolute dry amount of retained slurry and the absolute dry amount of slurry collected by the absolute dry amount collection system, and determining the ratio between the absolute dry amount of retained slurry and the absolute dry amount of slurry as the retention rate; Get the uniformity of the substrate captured in the banner scanning frame.

8. The method according to claim 2, characterized in that The post-coating absolute dry weight process equipment parameters include the paper machine speed, and the step of determining and outputting the abnormal target post-coating absolute dry weight process equipment parameters among the post-coating absolute dry weight process equipment parameters includes: Collecting the running speed of the paper machine as the speed of the paper machine; Determine whether the paper machine speed is within the standard paper machine speed range, and if not, determine the paper machine speed as the abnormal target post-coating absolute dry weight process equipment parameter and output it; or, The paper machine speed is output as the abnormal target post-coating absolute dry weight process equipment parameter.

9. The method according to claim 2, characterized in that The post-coating absolute dry quantitative process equipment parameters include the coating liquid temperature, and the step of determining and outputting the abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes: Determining a second target process equipment parameter associated with the coating liquid temperature, wherein the second target process equipment parameter includes steam usage and / or coating liquid heating time; Determine whether the second target process equipment parameter is in the respective corresponding second preset standard interval, if not, determine the target process equipment parameter that is not in the second preset standard interval as the abnormal target post-coating absolute dry quantitative process equipment parameter; or, The second target process equipment parameter is output as the abnormal target absolute dry quantitative process equipment parameter after coating.

10. The method according to claim 9, characterized in that The second target process equipment parameter is obtained in at least one of the following ways: Acquire steam usage data collected by a steam flow monitoring module, and determine the steam usage according to the steam usage data; The operating time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process is collected as the coating liquid heating time.

11. The method according to claim 2, characterized in that The post-coating absolute dry quantitative process equipment parameters include a base absorption performance value, and the step of determining and outputting abnormal target post-coating absolute dry quantitative process equipment parameters among the post-coating absolute dry quantitative process equipment parameters includes: Obtaining a film base absorption performance value, wherein the film base absorption performance value is related to the bulk thickness of the film base; determining whether the film base absorption performance value is within a standard film base absorption performance value interval, and if not, determining the film base absorption performance value as the post-coating absolute dry quantitative process equipment parameter of the abnormal target and outputting it; or, The base absorption performance value is output as the absolute dry quantitative process equipment parameter after coating of the abnormal target.

12. The method according to any one of claims 1 to 11, characterized in that The standard absolute dry weight range after coating is 95.0 g / m 2 ±10.0g / m 2 .

13. A papermaking process reconstituted tobacco system, characterized in that: The papermaking reconstituted tobacco system includes: a memory, a processor, and a post-coating absolute dry quantitative process equipment parameter monitoring program based on sensory quality scoring, which is stored in the memory and can be run on the processor. When the post-coating absolute dry quantitative process equipment parameter monitoring program based on sensory quality scoring is executed by the processor, the steps of the post-coating absolute dry quantitative process equipment parameter monitoring method based on sensory quality scoring as described in any one of claims 1 to 12 are implemented.

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