Coating liquid temperature process equipment parameter monitoring method and system based on sensory quality score

Abstract

The invention relates to the technical field of computer systems, in particular to a coating liquid temperature 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 related technological parameters, and the reconstituted tobacco sensory quality score related technological parameters comprise the coating liquid temperature; when it is detected that the sensory quality score value is not in a normal value interval, whether the coating liquid temperature of the to-be-detected reconstituted tobacco is in a standard coating liquid temperature interval or not is determined; and if not, determining an abnormal target coating liquid temperature process equipment parameter in the coating liquid temperature process equipment parameters and outputting the abnormal target coating liquid temperature process equipment parameter. 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 technical field of computer systems, and in particular to a method and system for monitoring process equipment parameters of coating liquid temperature 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 process equipment parameters of coating liquid temperature based on sensory quality scoring, aiming to solve the problem of how to improve the output stability of reconstituted tobacco leaves produced by the papermaking process.

[0009] To achieve the above-mentioned purpose, the present application provides a method for monitoring coating liquid temperature process equipment parameters 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 a coating liquid temperature;

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

[0012] If not, the abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature process equipment parameters are determined and output.

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

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

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

[0016] Optionally, the coating liquid temperature process equipment parameters include steam usage of a heat exchanger, and the step of determining and outputting abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature process equipment parameters includes:

[0017] Obtain steam usage data collected by the steam flow monitoring module;

[0018] determining the steam usage according to the steam usage data;

[0019] Determine whether the steam usage is within the standard steam usage range, and if not, determine the steam usage as the abnormal target coating liquid temperature process equipment parameter and output it; or,

[0020] The steam usage is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

[0021] Optionally, the coating liquid temperature process equipment parameter includes a coating liquid heating time, and the step of determining and outputting an abnormal target coating liquid temperature process equipment parameter among the coating liquid temperature process equipment parameters includes:

[0022] Collecting the operation time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process as the coating liquid heating time;

[0023] Determine whether the coating liquid heating time is within the standard coating liquid heating time interval, and if not, determine the coating liquid heating time as the abnormal target coating liquid temperature process equipment parameter and output it; or,

[0024] The coating liquid heating time is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

[0025] Optionally, the standard coating liquid temperature range is 50.0°C±5.0°C.

[0026] In addition, to achieve the above-mentioned objectives, the present application also provides a papermaking method reconstituted tobacco system, the papermaking method reconstituted tobacco system comprising: a memory, a processor, and a coating liquid temperature process equipment parameter monitoring program based on sensory quality scoring stored in the memory and executable on the processor, wherein the coating liquid temperature process equipment parameter monitoring program based on sensory quality scoring, when executed by the processor, implements the steps of the coating liquid temperature process equipment parameter monitoring method based on sensory quality scoring as described in any of the above items.

[0027] This application has at least the following beneficial effects:

[0028] 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;

[0029] 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;

[0030] 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;

[0031] 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

[0032] 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;

[0033] Figure 2 This is a flow chart of a first embodiment of a method for monitoring process equipment parameters of coating liquid temperature based on sensory quality scoring of the present application;

[0034] Figure 3 It is a schematic diagram of the fitting curve of the coating liquid temperature and the sensory evaluation score involved in the embodiment of the present application;

[0035] Figure 4 This is a schematic diagram of the correlation between the coating liquid temperature and the sensory quality score selected from the correlation table involved in the embodiment of the present application;

[0036] Figure 5 This is a flow chart of a second embodiment of a method for monitoring process equipment parameters of coating liquid temperature based on sensory quality scoring of the present application.

[0037] 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

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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 coating liquid temperature process equipment parameter monitoring program 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 coating liquid temperature process equipment parameter monitoring program based on sensory quality score and the operation of other software or programs.

[0043] 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 liquid temperature process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005.

[0044] In this embodiment, the papermaking method reconstituted tobacco leaf system includes: a memory 1005, a processor 1001, and a coating liquid temperature process equipment parameter monitoring program based on sensory quality score stored in the memory and executable on the processor, wherein:

[0045] When the processor 1001 calls the coating liquid temperature process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0046] 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 a coating liquid temperature;

[0047] When it is detected that the sensory quality score value is not in the normal value range, determining whether the coating liquid temperature of the reconstituted tobacco leaf to be tested is in the standard coating liquid temperature range;

[0048] If not, the abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature process equipment parameters are determined and output.

[0049] When the processor 1001 calls the coating liquid temperature process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0050] Determine whether the coating liquid temperature process equipment parameter is within a preset standard parameter range, and if not, determine the coating liquid temperature process equipment parameter as the abnormal target coating liquid temperature process equipment parameter and output it; or,

[0051] Each of the coating liquid temperature process equipment parameters is output as the abnormal target coating liquid temperature process equipment parameter.

[0052] When the processor 1001 calls the coating liquid temperature process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0053] Obtain steam usage data collected by the steam flow monitoring module;

[0054] determining the steam usage according to the steam usage data;

[0055] Determine whether the steam usage is within the standard steam usage range, and if not, determine the steam usage as the abnormal target coating liquid temperature process equipment parameter and output it; or,

[0056] The steam usage is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

[0057] When the processor 1001 calls the coating liquid temperature process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0058] Collecting the operation time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process as the coating liquid heating time;

[0059] Determine whether the coating liquid heating time is within the standard coating liquid heating time interval, and if not, determine the coating liquid heating time as the abnormal target coating liquid temperature process equipment parameter and output it; or,

[0060] The coating liquid heating time is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

[0061] When the processor 1001 calls the coating liquid temperature process equipment parameter monitoring program based on the sensory quality score stored in the memory 1005, the following operations are performed:

[0062] The standard coating liquid temperature range is 50.0°C±5.0°C.

[0063] Based on the hardware architecture of the papermaking reconstituted tobacco system of the above-mentioned computer system technology, an embodiment of the coating liquid temperature process equipment parameter monitoring method based on sensory quality scoring of the present application is proposed.

[0064] Reference Figure 2 In a first embodiment, the coating liquid temperature process equipment parameter monitoring method based on sensory quality scoring includes the following steps:

[0065] 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 coating liquid temperature;

[0066] In this embodiment, the sensory quality score of the reconstituted tobacco to be tested is firstly obtained.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] For example, see Figure 3 A schematic diagram of the fitting curve of the coating liquid temperature and the sensory evaluation score is shown.

[0072] 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:

[0073] Table 1. Correspondence between correlation coefficient and correlation strength

[0074] 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

[0075] Based on the relationship correspondence table given in Table 1, the correlation coefficient of the coating liquid temperature is 0.881.

[0076] Furthermore, after determining that the associated process parameter is the coating liquid temperature, during the papermaking reconstituted tobacco production process, the system collects the coating liquid temperature in the reconstituted tobacco in real time, and inputs the coating liquid temperature 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 liquid temperature in the sensory quality score calculation model simulates and predicts the sensory quality score value corresponding to the coating liquid temperature.

[0077] 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 the coating liquid temperatures of a large number of reconstituted tobacco leaves produced in historical batches, and scored these reconstituted tobacco leaves through manual smoking, and obtained a correlation table covering the coating liquid temperature and sensory quality score of a large number of reconstituted tobacco leaves. Figure 4This is a schematic diagram of the correlation between the coating liquid temperature and the sensory quality score of reconstituted tobacco leaves extracted 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%.

[0078] It should be noted that the construction method of the sensory quality score calculation module based on the coating liquid temperature 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.

[0079] Step S20, when it is detected that the sensory quality score value is not in the normal value range, determining whether the coating liquid temperature of the reconstituted tobacco leaf to be tested is in the standard coating liquid temperature range;

[0080] Step S30: If not, determine and output the abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature process equipment parameters.

[0081] In this embodiment, after obtaining the sensory quality score value of the reconstructed 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 liquid temperature of the reconstructed tobacco leaves to be tested is abnormal. The coating liquid temperature is used as the target tobacco leaf process parameter to be tested for detection. When it is determined that the coating liquid temperature is not in its corresponding standard coating liquid temperature interval, the abnormal target coating liquid temperature process equipment parameter among the coating liquid temperature process equipment parameters is determined and output.

[0082] 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.

[0083] Further, in this embodiment, when it is determined that the coating liquid temperature is not within the normal value range, the coating liquid temperature 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 liquid temperature in the papermaking method reconstituted tobacco process. The specific coating liquid temperature and the corresponding abnormal target reconstituted tobacco equipment parameters are described in subsequent embodiments and will not be repeated here.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] 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 coating liquid temperature 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.

[0088] In the actual papermaking process of reconstructed tobacco leaves, we allow a certain fluctuation in the numerical range of the coating liquid temperature of the reconstructed tobacco leaves. Therefore, even if the coating liquid temperature value of a batch of reconstructed tobacco leaves 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 reconstructed tobacco leaves as qualified, and do not regard the coating liquid temperature as an abnormal process parameter. In other words, the coating liquid temperature is only regarded as an abnormal process parameter when it is monitored that the sensory quality score value predicted based on the coating liquid temperature is abnormal and the coating liquid temperature value is also abnormal.

[0089] 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 liquid temperature is abnormal, and when the coating liquid temperature is abnormal, the abnormal equipment parameters related to the coating liquid temperature 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 product stability in the production process of papermaking reconstituted tobacco.

[0090] Second embodiment

[0091] Reference Figure 5 In this embodiment, based on the first embodiment, the coating liquid temperature process equipment parameters include the sizing amount, and the step S30 includes:

[0092] Step S311, determining whether the coating liquid temperature process equipment parameter is within a preset standard parameter range, if not, determining the coating liquid temperature process equipment parameter as the abnormal target coating liquid temperature process equipment parameter and outputting it; or,

[0093] Step S312: output each of the coating liquid temperature process equipment parameters as the abnormal target coating liquid temperature process equipment parameter.

[0094] This embodiment provides two different abnormal target coating liquid temperature process equipment parameter judgment schemes:

[0095] 1. A standard parameter range is preset for each coating liquid temperature 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.

[0096] Second, each process equipment parameter is directly regarded as abnormal and output as the abnormal process equipment parameter.

[0097] 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.

[0098] 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.

[0099] Third embodiment

[0100] In this embodiment, based on the first or second embodiment, the coating liquid temperature process equipment parameters include the steam usage of the heat exchanger, and the steam usage of the heat exchanger refers to the amount of steam required by the heat exchanger used to heat the coating liquid. The steam usage data can be directly collected through the built-in steam flow monitoring module, and the steam usage is positively correlated with the coating liquid temperature. When an abnormal value of the coating liquid temperature is detected, based on the above-mentioned equipment parameters and the positive / negative correlation between these operating parameters and the coating liquid temperature, it is detected whether the above-mentioned target reconstructed tobacco leaf equipment parameters are too large / too small, and when it is found that the target reconstructed tobacco leaf equipment parameters are too large / too small, the parameters are quickly adjusted to regulate the coating liquid temperature of the papermaking method reconstructed tobacco leaf. Among them, step S30 includes:

[0101] Step S321, obtaining steam usage data collected by a steam flow monitoring module;

[0102] Step S322, determining the steam usage according to the steam usage data;

[0103] Step S3231, determining whether the steam usage is within the standard steam usage range, if not, determining the steam usage as the abnormal target coating liquid temperature process equipment parameter and outputting it;

[0104] Alternatively, in step S232, the steam usage is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

[0105] Fourth embodiment

[0106] In this embodiment, in this embodiment, based on the first or second embodiment, the coating liquid temperature process equipment parameters include the coating liquid heating time, and the coating liquid heating time refers to the time required to heat the coating liquid to the temperature required by the process. The operating parameter is a collection value, and the coating liquid heating time is positively correlated with the coating liquid temperature. When an abnormality is detected in the value of the coating liquid temperature, based on the above-mentioned equipment parameters and the positive / negative correlation between these operating parameters and the coating liquid temperature, it is detected whether the above-mentioned target reconstructed tobacco equipment parameters are too large / too small, and when it is found that the target reconstructed tobacco equipment parameters are too large / too small, the parameters are quickly adjusted to regulate the coating liquid temperature of the papermaking reconstructed tobacco. Among them, step S30 includes:

[0107] Step S331, collecting the operation time of the coating liquid heating device from the initial heating moment of the coating liquid to the heating time required by the process as the coating liquid heating time;

[0108] Step S3321, determining whether the coating liquid heating time is within the standard coating liquid heating time interval, if not, determining the coating liquid heating time as the abnormal target coating liquid temperature process equipment parameter and outputting it;

[0109] Alternatively, in step S3322, the coating liquid heating time is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

[0110] Fifth embodiment

[0111] The standard coating liquid temperature range is 50.0°C±5.0°C.

[0112] 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.

[0113] Therefore, the present application also provides a computer-readable storage medium, which stores a coating liquid temperature process equipment parameter monitoring program based on sensory quality scoring. When the coating liquid temperature process equipment parameter monitoring program based on sensory quality scoring is executed by a processor, it implements the various steps of the coating liquid temperature process equipment parameter monitoring method based on sensory quality scoring as described in the above embodiment.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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 coating liquid temperature process equipment parameters 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 a coating liquid temperature; When it is detected that the sensory quality score value is not in the normal value range, determining whether the coating liquid temperature of the reconstituted tobacco leaf to be tested is in the standard coating liquid temperature range; If not, the abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature 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 coating liquid temperature process equipment parameters among various coating liquid temperature process equipment parameters comprises: Determine whether the coating liquid temperature process equipment parameter is within a preset standard parameter range, and if not, determine the coating liquid temperature process equipment parameter as the abnormal target coating liquid temperature process equipment parameter and output it; or, Each of the coating liquid temperature process equipment parameters is output as the abnormal target coating liquid temperature process equipment parameter.

3. The method according to claim 2, characterized in that The coating liquid temperature process equipment parameters include steam usage of a heat exchanger, and the step of determining and outputting abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature process equipment parameters includes: Obtain steam usage data collected by the steam flow monitoring module; determining the steam usage according to the steam usage data; Determine whether the steam usage is within the standard steam usage range, and if not, determine the steam usage as the abnormal target coating liquid temperature process equipment parameter and output it; or, The steam usage is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

4. The method according to claim 2, characterized in that The coating liquid temperature process equipment parameters include coating liquid heating time, and the step of determining and outputting abnormal target coating liquid temperature process equipment parameters among the coating liquid temperature process equipment parameters includes: Collecting the operation time of the coating liquid heating device from the initial heating moment of the coating liquid to the temperature required by the process as the coating liquid heating time; Determine whether the coating liquid heating time is within the standard coating liquid heating time interval, and if not, determine the coating liquid heating time as the abnormal target coating liquid temperature process equipment parameter and output it; or, The coating liquid heating time is used as the abnormal target coating liquid temperature process equipment parameter and outputted.

5. The method according to any one of claims 1 to 4, characterized in that: The standard coating liquid temperature range is 50.0°C±5.0°C.

6. A papermaking process reconstituted tobacco system, characterized in that: The papermaking reconstituted tobacco system includes: a memory, a processor, and a coating liquid temperature 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 coating liquid temperature process equipment parameter monitoring program based on sensory quality scoring is executed by the processor, the steps of the coating liquid temperature process equipment parameter monitoring method based on sensory quality scoring as described in any one of claims 1 to 4 are implemented.

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