Sensory quality score-based moisture feeding and coating process equipment parameter monitoring method and system

Abstract

The invention relates to the technical field of computer systems, in particular to a moisture feeding and coating process equipment parameter monitoring method and system based on sensory quality scores. The method comprises the steps that the sensory quality score value of to-be-detected reconstituted tobacco 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 coating moisture; when it is detected that the sensory quality score value is not in a normal value interval, whether the coating moisture of the to-be-detected reconstituted tobacco is in a standard coating moisture interval or not is determined; and if not, determining and outputting abnormal target moisture feeding and coating process equipment parameters in the various moisture feeding and coating 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 application relates to the field of computer system technology, and in particular to a method and system for monitoring parameters of coating moisture 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 invention 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 coating moisture 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 coating moisture process equipment based on sensory quality scoring, the method comprising:

[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 the moisture content of the coating;

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

[0012] If not, determine and output the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters.

[0013] Optionally, the step of determining and outputting abnormal target coating moisture process equipment parameters among various coating moisture process equipment parameters includes:

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

[0015] Each of the coating moisture process equipment parameters is output as the abnormal target coating moisture process equipment parameter.

[0016] Optionally, the coating water process equipment parameters include sizing amount, and the step of determining and outputting abnormal target coating water process equipment parameters among the coating water process equipment parameters includes:

[0017] Acquire flow data of a flow meter during the water feeding process of the slurry pipeline, and determine the sizing amount according to the flow data;

[0018] Determine whether the sizing amount is within the standard sizing amount range, and if not, determine the sizing amount as the abnormal target coating moisture process equipment parameter and output it; or,

[0019] The sizing amount is output as the abnormal target coating moisture process equipment parameter.

[0020] Optionally, the coating moisture process equipment parameters include the vacuum degree of a vacuum dehydration box, and the step of determining and outputting abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters includes:

[0021] Collect the vacuum degree of the vacuum dehydration box during the coating moisture process;

[0022] Determine whether the vacuum degree is within the standard vacuum degree range, and if not, determine the vacuum degree as the abnormal target coating moisture process equipment parameter and output it; or,

[0023] The vacuum degree is used as the abnormal target coating moisture process equipment parameter and outputted.

[0024] Optionally, the coating moisture process equipment parameters include vacuum pressing pressure, and the step of determining and outputting abnormal target coating moisture process equipment parameters among the coating moisture process equipment parameters includes:

[0025] Collecting the vacuum squeezing pressure of the vacuum dehydration box during the process of adding moisture to the coating;

[0026] Determine whether the vacuum pressing pressure is within the standard vacuum pressing pressure range, and if not, determine the vacuum pressing pressure as the abnormal target coating moisture process equipment parameter and output it; or,

[0027] The vacuum pressing pressure is used as the abnormal target coating moisture process equipment parameter and outputted.

[0028] Optionally, the coating moisture process equipment parameters include the Yankee hood hot air temperature, and the step of determining and outputting the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters includes:

[0029] Acquire temperature data collected by a temperature sensor disposed on the surface of the Yankee gas hood;

[0030] determining the hot air temperature of the Yankee hood according to the temperature data;

[0031] Determine whether the Yankee hood hot air temperature is within the standard Yankee hood hot air temperature range, and if not, determine the Yankee hood hot air temperature as the abnormal target coating moisture process equipment parameter and output it; or,

[0032] The Yankee hood hot air temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

[0033] Optionally, the coating water process equipment parameters include Yankee cylinder temperature, and the step of determining and outputting abnormal target coating water process equipment parameters among the coating water process equipment parameters includes:

[0034] Acquire temperature data collected by a temperature sensor disposed on the surface of the Yankee cylinder;

[0035] determining the Yankee cylinder temperature according to the temperature data;

[0036] Determine whether the Yankee cylinder temperature is within the standard Yankee hood hot air temperature range, and if not, determine the Yankee cylinder temperature as the abnormal target coating moisture process equipment parameter and output it; or,

[0037] The Yankee cylinder temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

[0038] Optionally, the coating moisture process equipment parameters include substrate uniformity, and the step of determining and outputting abnormal target coating moisture process equipment parameters among the coating moisture process equipment parameters includes:

[0039] Obtain the uniformity of the film base collected in the banner scanning frame;

[0040] Determine whether the substrate uniformity is within the standard substrate uniformity range, and if not, determine the substrate uniformity as the abnormal target coating moisture process equipment parameter and output it; or,

[0041] The substrate uniformity is used as the abnormal target coating moisture process equipment parameter and outputted.

[0042] Optionally, it is characterized in that the standard coating moisture range is 20.0%±3.0%.

[0043] In addition, to achieve the above-mentioned objectives, the present application also provides a papermaking reconstituted tobacco system, which includes: a memory, a processor, and a coating moisture process equipment parameter monitoring program based on sensory quality scoring stored in the memory and executable on the processor, wherein the coating moisture process equipment parameter monitoring program based on sensory quality scoring implements the steps of the coating moisture process equipment parameter monitoring method based on sensory quality scoring as described in any one of the above items when executed by the processor.

[0044] This application has at least the following beneficial effects:

[0045] 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;

[0046] 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;

[0047] 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;

[0048] 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

[0049] 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;

[0050] Figure 2 This is a flow chart of a first embodiment of a method for monitoring parameters of coating moisture process equipment based on sensory quality scoring of the present application;

[0051] Figure 3 It is a schematic diagram of the fitting curve of the coating moisture and sensory evaluation score involved in the embodiment of the present application;

[0052] Figure 4 This is a schematic diagram of the correlation between the coating moisture and the sensory quality score selected from the correlation table involved in the embodiment of the present application;

[0053] Figure 5 This is a flow chart of the first embodiment of the method for monitoring parameters of coating moisture process equipment based on sensory quality scoring in the present application.

[0054] 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

[0055] 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.

[0056] 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.

[0057] 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.

[0058] 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.

[0059] 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 a coating moisture process equipment based on a sensory quality score. The operating system is a program for managing and controlling the hardware and software resources of a papermaking reconstituted tobacco system, and the monitoring program for parameters of a coating moisture process equipment based on a sensory quality score and other software or programs.

[0060] exist Figure 1In 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 coating moisture process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005.

[0061] In this embodiment, the papermaking reconstituted tobacco system includes: a memory 1005, a processor 1001, and a coating moisture process equipment parameter monitoring program based on sensory quality scoring stored in the memory and executable on the processor, wherein:

[0062] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0063] 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 the moisture content of the coating;

[0064] When it is detected that the sensory quality score value is not in the normal value range, determining whether the coating moisture of the reconstituted tobacco leaf to be tested is in the standard coating moisture range;

[0065] If not, determine and output the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters.

[0066] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0067] Determine whether the coating water process equipment parameter is within a preset standard parameter range, and if not, determine the coating water process equipment parameter as the abnormal target coating water process equipment parameter and output it; or,

[0068] Each of the coating moisture process equipment parameters is output as the abnormal target coating moisture process equipment parameter.

[0069] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0070] Acquire flow data of a flow meter during the water feeding process of the slurry pipeline, and determine the sizing amount according to the flow data;

[0071] Determine whether the sizing amount is within the standard sizing amount range, and if not, determine the sizing amount as the abnormal target coating moisture process equipment parameter and output it; or,

[0072] The sizing amount is output as the abnormal target coating moisture process equipment parameter.

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

[0074] Collect the vacuum degree of the vacuum dehydration box during the coating moisture process;

[0075] Determine whether the vacuum degree is within the standard vacuum degree range, and if not, determine the vacuum degree as the abnormal target coating moisture process equipment parameter and output it; or,

[0076] The vacuum degree is used as the abnormal target coating moisture process equipment parameter and outputted.

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

[0078] Collecting the vacuum squeezing pressure of the vacuum dehydration box during the process of adding moisture to the coating;

[0079] Determine whether the vacuum pressing pressure is within the standard vacuum pressing pressure range, and if not, determine the vacuum pressing pressure as the abnormal target coating moisture process equipment parameter and output it; or,

[0080] The vacuum pressing pressure is used as the abnormal target coating moisture process equipment parameter and outputted.

[0081] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0082] Acquire temperature data collected by a temperature sensor disposed on the surface of the Yankee gas hood;

[0083] determining the hot air temperature of the Yankee hood according to the temperature data;

[0084] Determine whether the Yankee hood hot air temperature is within the standard Yankee hood hot air temperature range, and if not, determine the Yankee hood hot air temperature as the abnormal target coating moisture process equipment parameter and output it; or,

[0085] The Yankee hood hot air temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

[0086] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0087] Acquire temperature data collected by a temperature sensor disposed on the surface of the Yankee cylinder;

[0088] determining the Yankee cylinder temperature according to the temperature data;

[0089] Determine whether the Yankee cylinder temperature is within the standard Yankee hood hot air temperature range, and if not, determine the Yankee cylinder temperature as the abnormal target coating moisture process equipment parameter and output it; or,

[0090] The Yankee cylinder temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

[0091] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0092] Obtain the uniformity of the film base collected in the banner scanning frame;

[0093] Determine whether the substrate uniformity is within the standard substrate uniformity range, and if not, determine the substrate uniformity as the abnormal target coating moisture process equipment parameter and output it; or,

[0094] The substrate uniformity is used as the abnormal target coating moisture process equipment parameter and outputted.

[0095] When the processor 1001 calls the coating moisture process equipment parameter monitoring program based on sensory quality score stored in the memory 1005, the following operations are performed:

[0096] The standard coating moisture range is 20.0%±3.0%.

[0097] 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 coating moisture process equipment based on sensory quality scoring of the present application is proposed.

[0098] Reference Figure 2 In the first embodiment, the method for monitoring parameters of papermaking reconstituted tobacco equipment based on sensory quality scoring comprises the following steps:

[0099] 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 moisture content of the coating;

[0100] In this embodiment, the sensory quality score of the reconstituted tobacco to be tested is firstly obtained.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] In this example, in order to study which parameters are strongly correlated with the sensory quality score of papermaking reconstituted tobacco leaves, we used the existing production database Uniform e , and combined with the actual sensory quality manual smoking scores for corresponding statistics, so as to determine the fitting curve in the tobacco leaf process parameters.

[0105] For example, see Figure 3 Schematic diagram of the fitting curve of coating moisture and sensory evaluation scores is shown.

[0106] After determining the fitting curve, Minitab is 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:

[0107] Table 1. Correspondence between correlation coefficient and correlation strength

[0108] 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

[0109] Based on the relationship table given in Table 1, the correlation coefficient of the moisture content in the coating is 0.863.

[0110] Furthermore, after determining that the associated process parameter is the coating moisture, during the papermaking reconstituted tobacco production process, the system collects the coating moisture in the reconstituted tobacco in real time, and inputs the coating moisture into the trained sensory quality score calculation model constructed based on the deep learning model. The sensory quality score calculation module based on the coating moisture in the sensory quality score calculation model simulates and predicts the sensory quality score value corresponding to the coating moisture.

[0111] 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 historical batches of reconstituted tobacco leaves with moisture content before coating, and scored these reconstituted tobacco leaves through manual smoking, thus obtaining a correlation table covering a large number of reconstituted tobacco leaves with moisture content before coating and sensory quality scores. Figure 4 This is a schematic diagram of the correlation between the moisture content of reconstituted tobacco leaves 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 94.8%.

[0112] It should be noted that the construction method of the sensory quality score module based on the coating moisture 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.

[0113] Step S20, when it is detected that the sensory quality score value is not in the normal value range, determining whether the coating moisture of the reconstituted tobacco to be tested is in the standard coating moisture range;

[0114] Step S30: If not, determine and output the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters.

[0115] In this embodiment, after obtaining the sensory quality score value of the reconstituted tobacco leaves to be tested, it is determined whether the numerical interval of the sensory quality score value is in the normal value interval. When it is detected that the sensory quality score value is not in the normal value interval, it is determined that the coating moisture of the reconstituted tobacco leaves to be tested is abnormal. The coating moisture is used as the target tobacco leaf process parameter to be tested for detection. When it is determined that the coating moisture is not in its corresponding standard coating moisture interval, the abnormal target coating moisture process equipment parameters among the coating moisture process equipment parameters are determined and output.

[0116] 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.

[0117] Further, in this embodiment, when it is determined that the coating moisture is not within the normal value range, the coating moisture 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 coating moisture in the papermaking process of reconstituted tobacco. The specific coating moisture and the corresponding abnormal target reconstituted tobacco equipment parameters are described in subsequent embodiments and will not be repeated here.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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 sensory quality score value rather than directly monitoring according to the value of the coating moisture 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.

[0122] In the actual papermaking process of reconstituted tobacco leaves, we allow a certain fluctuation in the numerical range of the moisture content of the reconstituted tobacco leaves entering the coating. Therefore, even if the moisture content of a batch of reconstituted tobacco leaves entering the 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 moisture content of the coating as an abnormal process parameter. In other words, the moisture content of the coating is only regarded as an abnormal process parameter when it is monitored that the sensory quality score value predicted based on the moisture content of the coating is abnormal and the value of the moisture content of the coating is also abnormal.

[0123] 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 coating moisture is abnormal, and when the coating moisture is abnormal, the abnormal equipment parameters related to the coating moisture 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 papermaking reconstituted tobacco production process.

[0124] Second embodiment

[0125] Reference Figure 3 In this embodiment, based on the first embodiment, the coating water process equipment parameters include the sizing amount, and the step S30 includes:

[0126] Step S311, determining whether the coating water process equipment parameter is within a preset standard parameter range, if not, determining the coating water process equipment parameter as the abnormal target coating water process equipment parameter and outputting it; or,

[0127] Step S312, outputting each of the coating moisture process equipment parameters as the abnormal target coating moisture process equipment parameters.

[0128] This embodiment provides two different abnormal target coating moisture process equipment parameter judgment schemes:

[0129] 1. A standard parameter range is preset for each coating moisture 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.

[0130] Second, each process equipment parameter is directly regarded as abnormal and output as the abnormal process equipment parameter.

[0131] 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.

[0132] 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.

[0133] Third embodiment

[0134] In this embodiment, based on the first or second embodiment, the coating water process equipment parameters include sizing amount, and 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 coating water content within a certain range, that is, within this range, the more sizing amount, the greater the coating water content. The step S30 specifically includes:

[0135] Step S321, obtaining flow data of a flow meter in a slurry pipeline during a water coating process, and determining the sizing amount according to the flow data;

[0136] Step S322, determining whether the sizing amount is within the standard sizing amount range, if not, determining the sizing amount as the abnormal target coating moisture process equipment parameter and outputting it; or,

[0137] Step S323, outputting the sizing amount as the abnormal target coating moisture process equipment parameter.

[0138] Fourth embodiment

[0139] In this embodiment, based on the first or second embodiment, the coating moisture process equipment parameters include the vacuum degree of the vacuum dehydration box. The main function of the vacuum dehydration box is to remove excess moisture in the reconstituted tobacco slurry to increase the solid content of the slurry. The vacuum degree of the vacuum dehydration box can be directly collected by the system, wherein the vacuum degree is negatively correlated with the coating moisture, that is, the greater the vacuum degree, the smaller the coating moisture. The step S30 includes:

[0140] Step S331, collecting the vacuum degree of the vacuum dehydration box during the coating moisture process;

[0141] Step S3321, determining whether the vacuum degree is within the standard vacuum degree range, and if not, determining the vacuum degree as the abnormal target coating moisture process equipment parameter and outputting it;

[0142] Alternatively, in step S3222, the sizing amount is used as the abnormal target coating moisture process equipment parameter and outputted.

[0143] Fifth embodiment

[0144] In this embodiment, based on the first or second embodiment, the parameters of the coating moisture process equipment include vacuum pressing pressure. The vacuum pressing pressure is the pressure value applied to the slurry by the vacuum dehydration box under a vacuum environment, thereby reducing the moisture content of the slurry. The vacuum pressing pressure can be directly collected by the system, wherein the vacuum degree is negatively correlated with the coating moisture, that is, the greater the vacuum pressing pressure, the smaller the coating moisture.

[0145] Wherein, the step S30 includes:

[0146] Step S341, collecting the vacuum squeezing pressure of the vacuum dehydration box during the coating moisture operation;

[0147] Step S3421, determining whether the vacuum pressing pressure is in the standard vacuum pressing pressure range, if not, determining the vacuum pressing pressure as the abnormal target coating moisture process equipment parameter and outputting it;

[0148] Alternatively, in step S3422, the vacuum pressing pressure is used as the abnormal target coating moisture process equipment parameter and outputted.

[0149] Sixth embodiment

[0150] In this embodiment, based on the first or second embodiment, the coating moisture process equipment parameters include the Yankee hood hot air temperature, which refers to the problem of hot air blowing the paper web through the Yankee hood. The Yankee hood is located above the dryer and helps accelerate the drying of the paper web by spraying high-temperature hot air; the Yankee cylinder temperature refers to the temperature of the surface of the Yankee cylinder. The Yankee cylinder is heated by steam to evaporate moisture when the paper web contacts the cylinder surface. The Yankee hood hot air temperature can be collected by the system through a temperature sensor set on the Yankee hood, and the Yankee cylinder temperature can be collected by the system through a temperature sensor set on the surface of the Yankee cylinder, wherein the Yankee hood hot air temperature and the Yankee cylinder temperature are both negatively correlated with the coating moisture, that is, the larger the Yankee hood hot air temperature and the Yankee cylinder temperature, the smaller the coating moisture. Wherein, the step S30 includes:

[0151] Step S351, obtaining temperature data collected by a temperature sensor disposed on the surface of the Yankee gas hood;

[0152] Step S352, determining the hot air temperature of the Yankee hood according to the temperature data;

[0153] Step S3531, determining whether the Yankee hood hot air temperature is within the standard Yankee hood hot air temperature range, if not, determining the Yankee hood hot air temperature as the abnormal target coating moisture process equipment parameter and outputting it;

[0154] Alternatively, in step S3532, the hot air temperature of the Yankee hood is used as the abnormal target coating moisture process equipment parameter and outputted.

[0155] Seventh embodiment

[0156] In this embodiment, based on the first or second embodiment, the coating moisture process equipment parameters include the Yankee cylinder temperature, which refers to the surface temperature of the small diameter drying cylinder (also called the small cylinder group), and the Yankee cylinder temperature can be collected by the system through a temperature sensor set on the surface of the Yankee cylinder, wherein the vacuum degree is negatively correlated with the coating moisture, that is, the greater the Yankee cylinder temperature pressure, the smaller the coating moisture. Wherein, the step S30 includes:

[0157] Step S361, acquiring temperature data collected by a temperature sensor disposed on the surface of the Yankee cylinder;

[0158] Step S362, determining the Yankee cylinder temperature according to the temperature data;

[0159] Step S3631, determining whether the Yankee cylinder temperature is within the standard Yankee hood hot air temperature range, if not, determining the Yankee cylinder temperature as the abnormal target coating moisture process equipment parameter and outputting it;

[0160] Alternatively, in step S3632, the Yankee cylinder temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

[0161] Eighth embodiment

[0162] In this embodiment, based on the first or second embodiment, the coating moisture process equipment parameters include base uniformity, which 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 is adjusted in linkage by the quality control system. The base uniformity will affect the fluctuation of the coating moisture, and the better the uniformity, the smaller the fluctuation of the coating moisture. The step S30 includes:

[0163] Step S371, obtaining the uniformity of the film base collected in the banner scanning frame;

[0164] Step S3721, determining whether the substrate uniformity is within the standard substrate uniformity range, if not, determining the substrate uniformity as the abnormal target coating moisture process equipment parameter and outputting it;

[0165] Alternatively, in step S3722, the substrate uniformity is used as the abnormal target coating moisture process equipment parameter and outputted.

[0166] Ninth embodiment

[0167] In this embodiment, based on any of the foregoing embodiments, the standard coating moisture range is 20.0%±3.0%.

[0168] 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.

[0169] Therefore, the present application also provides a computer-readable storage medium, which stores a program for monitoring parameters of coating moisture process equipment based on sensory quality scoring. When the program for monitoring parameters of coating moisture process equipment based on sensory quality scoring is executed by a processor, the various steps of the method for monitoring parameters of coating moisture process equipment based on sensory quality scoring as described in the above embodiment are implemented.

[0170] 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 may store program codes.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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 A step that specifies a function in one or more boxes.

[0176] It should be noted that in the claims, any reference signs placed between parentheses 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 distinct components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by one and 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.

[0177] 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.

[0178] 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 coating moisture 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 the moisture content of the coating; When it is detected that the sensory quality score value is not in the normal value range, determining whether the coating moisture of the reconstituted tobacco leaf to be tested is in the standard coating moisture range; If not, determine and output the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters.

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

3. The method according to claim 2, characterized in that The coating water process equipment parameters include the sizing amount, and the step of determining and outputting the abnormal target coating water process equipment parameters among the coating water process equipment parameters includes: Acquire flow data of a flow meter during the water feeding process of the slurry pipeline, and determine the sizing amount according to the flow data; Determine whether the sizing amount is within the standard sizing amount range, and if not, determine the sizing amount as the abnormal target coating moisture process equipment parameter and output it; or, The sizing amount is output as the abnormal target coating moisture process equipment parameter.

4. The method according to claim 2, characterized in that The coating moisture process equipment parameters include the vacuum degree of the vacuum dehydration box, and the step of determining and outputting the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters includes: Collect the vacuum degree of the vacuum dehydration box during the coating moisture process; Determine whether the vacuum degree is within the standard vacuum degree range, and if not, determine the vacuum degree as the abnormal target coating moisture process equipment parameter and output it; or, The vacuum degree is used as the abnormal target coating moisture process equipment parameter and outputted.

5. The method according to claim 2, characterized in that The coating moisture process equipment parameters include vacuum pressing pressure, and the step of determining and outputting abnormal target coating moisture process equipment parameters among the coating moisture process equipment parameters includes: Collecting the vacuum squeezing pressure of the vacuum dehydration box during the process of adding moisture to the coating; Determine whether the vacuum pressing pressure is within the standard vacuum pressing pressure range, and if not, determine the vacuum pressing pressure as the abnormal target coating moisture process equipment parameter and output it; or, The vacuum pressing pressure is used as the abnormal target coating moisture process equipment parameter and outputted.

6. The method according to claim 2, characterized in that The coating moisture process equipment parameters include the Yankee hood hot air temperature, and the step of determining and outputting the abnormal target coating moisture process equipment parameters among the various coating moisture process equipment parameters includes: Acquire temperature data collected by a temperature sensor disposed on the surface of the Yankee gas hood; determining the hot air temperature of the Yankee hood according to the temperature data; Determine whether the Yankee hood hot air temperature is within the standard Yankee hood hot air temperature range, and if not, determine the Yankee hood hot air temperature as the abnormal target coating moisture process equipment parameter and output it; or, The Yankee hood hot air temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

7. The method according to claim 2, characterized in that The coating water process equipment parameters include the Yankee cylinder temperature, and the step of determining and outputting the abnormal target coating water process equipment parameters among the coating water process equipment parameters includes: Acquire temperature data collected by a temperature sensor disposed on the surface of the Yankee cylinder; determining the Yankee cylinder temperature according to the temperature data; Determine whether the Yankee cylinder temperature is within the standard Yankee hood hot air temperature range, and if not, determine the Yankee cylinder temperature as the abnormal target coating moisture process equipment parameter and output it; or, The Yankee cylinder temperature is used as the abnormal target coating moisture process equipment parameter and outputted.

8. The method according to claim 2, characterized in that The coating moisture process equipment parameters include substrate uniformity, and the step of determining and outputting abnormal target coating moisture process equipment parameters among the coating moisture process equipment parameters includes: Obtain the uniformity of the film base collected in the banner scanning frame; Determine whether the substrate uniformity is within the standard substrate uniformity range, and if not, determine the substrate uniformity as the abnormal target coating moisture process equipment parameter and output it; or, The substrate uniformity is used as the abnormal target coating moisture process equipment parameter and outputted.

9. The method according to any one of claims 1 to 8, characterized in that The standard coating moisture range is 20.0%±3.0%.

10. A papermaking process reconstituted tobacco system, characterized in that: The papermaking reconstituted tobacco system comprises: a memory, a processor, and a coating moisture process equipment parameter monitoring program based on sensory quality scoring stored in the memory and executable on the processor. When the coating moisture process equipment parameter monitoring program based on sensory quality scoring is executed by the processor, the steps of the coating moisture process equipment parameter monitoring method based on sensory quality scoring as described in any one of claims 1 to 9 are implemented.

Images