CN118356015A - Cut tobacco moisture stability control method and device, electronic equipment and storage medium - Google Patents

Abstract

The invention discloses a tobacco shred moisture stability control method and device, electronic equipment and a storage medium. The specific scheme is as follows: when detecting that tobacco shreds to be processed exist at the inlet of the tobacco shred drying equipment, acquiring first moisture data and tobacco shred flow corresponding to the tobacco shreds to be processed at the current moment; processing the first moisture data and the tobacco shred flow according to the first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shreds to be processed; and determining target tobacco drying power corresponding to the predicted hot air temperature based on the second model prediction controller and the predicted hot air temperature, so as to determine the tobacco drying power of the tobacco drying equipment at the next moment based on the target tobacco drying power, and controlling second moisture data of the tobacco shreds to be processed, wherein the second moisture data is moisture data corresponding to an outlet of the tobacco drying equipment at the next moment. The invention not only realizes the accurate adjustment of the power of the dried shreds, but also ensures the stability of the second moisture data.

Description

Cut tobacco moisture stability control method and device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a method and apparatus for controlling moisture stability of tobacco shreds, an electronic device, and a storage medium.

Background

In the tobacco shred drying process, the process hot air is heated by the tobacco shred drying equipment so as to dry the tobacco shreds in a drying tower by utilizing the process hot air.

At present, the temperature of hot air in the tobacco drying equipment is manually adjusted and controlled according to the observed moisture of tobacco at the outlet of the tobacco drying equipment so as to ensure the stability of the moisture at the outlet of the tobacco. However, when the above-mentioned method is adopted, the realization of the hot air temperature has hysteresis, that is, after the power of the dried silk is adjusted, the desired hot air temperature may not be reached, and multiple repeated adjustments are required, which results in an increase of time cost. In addition, the stability of the outlet moisture cannot be accurately ensured by adjusting the temperature of the hot air according to manual experience.

Disclosure of Invention

The invention provides a tobacco shred moisture stability control method, a device, electronic equipment and a storage medium, which not only realize accurate adjustment of tobacco shred drying power, but also ensure the stability of second moisture data.

According to an aspect of the present invention, there is provided a tobacco shred moisture stability control method, the method comprising:

When detecting that tobacco shreds to be processed exist at the inlet of the tobacco shred drying equipment, acquiring first moisture data and tobacco shred flow corresponding to the tobacco shreds to be processed at the current moment;

processing the first moisture data and the tobacco shred flow according to a first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shred to be processed, wherein the predicted hot air temperature is the predicted hot air temperature corresponding to the tobacco shred drying equipment at the next moment;

And determining target tobacco drying power corresponding to the predicted hot air temperature based on the second model prediction controller and the predicted hot air temperature, so as to determine the tobacco drying power of the tobacco drying equipment at the next moment based on the target tobacco drying power, and controlling second moisture data of the tobacco shreds to be processed, wherein the second moisture data is moisture data corresponding to an outlet of the tobacco drying equipment at the next moment.

According to another aspect of the present invention, there is provided a tobacco shred moisture stability control apparatus comprising:

The data acquisition module is used for acquiring first moisture data and tobacco flow corresponding to the tobacco shred to be processed at the current moment when the tobacco shred to be processed is detected to exist at the inlet of the tobacco shred drying equipment;

The predicted hot air temperature determining module is used for processing the first moisture data and the tobacco shred flow according to the first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shred to be processed, wherein the predicted hot air temperature is the predicted hot air temperature corresponding to the tobacco shred drying equipment at the next moment;

And the tobacco drying power determining module is used for determining target tobacco drying power corresponding to the predicted hot air temperature based on the second model prediction controller and the predicted hot air temperature so as to determine the tobacco drying power of the tobacco drying equipment at the next moment based on the target tobacco drying power and control second moisture data of the tobacco shreds to be processed, wherein the second moisture data is moisture data corresponding to an outlet of the tobacco drying equipment at the next moment.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the tobacco shred moisture stability control method of any of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to execute the tobacco shred moisture stability control method according to any embodiment of the present invention.

According to the technical scheme, when the tobacco shred to be processed exists at the inlet of the tobacco shred drying equipment, the first moisture data and the tobacco shred flow corresponding to the tobacco shred to be processed at the current moment are obtained, and a data basis is provided for the subsequent adjustment of the tobacco shred drying power. And processing the first moisture data and the tobacco shred flow according to the first model prediction controller to obtain a predicted hot air temperature, inputting the predicted hot air temperature into the second model prediction controller to obtain a tobacco shred drying power corresponding to the predicted hot air temperature, thereby realizing control of the second moisture data. The problems that a large amount of time and cost are consumed due to repeated adjustment of the power of the cut tobacco drying in the prior art, and the stability of second moisture data cannot be guaranteed are solved. The invention not only realizes the accurate adjustment of the power of the dried shreds, but also ensures the stability of the second moisture data.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a tobacco shred moisture stability control method provided by an embodiment of the invention;

FIG. 2 is a flow chart of a model predictive controller training method provided by an embodiment of the invention;

FIG. 3 is a schematic diagram showing the logical relationship between the actual value of the outlet moisture and each parameter according to the embodiment of the present invention;

FIG. 4 is a schematic diagram of variable information of an MPC controller according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of the logical relationship between the sample hot air temperature and the drying power provided by the embodiment of the invention;

FIG. 6 is a schematic diagram of variable information of another MPC controller provided by an embodiment of the present invention;

FIG. 7 is an exemplary view of a visual image provided by an embodiment of the present invention;

FIG. 8 is an illustration of another visual image provided by an embodiment of the present invention;

Fig. 9 is a schematic structural diagram of a tobacco shred moisture stability control device according to an embodiment of the present invention;

fig. 10 is a schematic structural diagram of an electronic device for implementing the method for controlling moisture stability of cut tobacco according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

Fig. 1 is a flowchart of a method for controlling moisture stability of cut tobacco according to a first embodiment of the present invention, where the method may be implemented by a cut tobacco moisture stability control device, where the cut tobacco moisture stability control device may be implemented in hardware and/or software, and the cut tobacco moisture stability control device may be configured in an electronic device such as a mobile phone, a computer, or a server. As shown in fig. 1, the method includes:

s110, when the existence of the tobacco shreds to be processed at the inlet of the tobacco shred drying device is detected, acquiring first moisture data and tobacco shred flow corresponding to the tobacco shreds to be processed at the current moment.

The tobacco shred to be treated is understood as tobacco shred which is currently used for drying tobacco shreds. The cut tobacco drying device is a device for drying cut tobacco to be processed, and for example, the cut tobacco drying device can be an air-flow cut tobacco dryer. The first moisture data is the moisture data corresponding to the tobacco shreds to be processed at the inlet of the tobacco drying equipment. The tobacco shred flow rate can be understood as the tobacco shred mass or volume of the tobacco shreds to be processed, which are conveyed to the tobacco shred drying equipment in unit time.

Specifically, in the tobacco shred drying process of the tobacco shreds to be processed, the tobacco shreds to be processed can be conveyed into the tobacco shred drying equipment so as to realize drying treatment through the tobacco shred drying equipment. In the process, when the tobacco shred to be processed at the inlet of the tobacco shred drying equipment is detected, the moisture data, namely the first moisture data, of the tobacco shred to be processed at the inlet of the tobacco shred drying equipment can be obtained through the corresponding moisture detection equipment. And obtaining the tobacco shred flow of the tobacco shreds to be processed at the inlet of the tobacco shred drying equipment so as to determine the corresponding predicted hot air temperature according to the first moisture data and the tobacco shred flow.

Optionally, obtaining first moisture data and tobacco flow corresponding to tobacco to be processed at the current moment includes: performing inlet moisture detection on the tobacco shreds to be processed based on the moisture detection equipment to obtain first moisture data of the tobacco shreds to be processed; and determining the tobacco shred flow of the tobacco shreds to be processed based on the flow acquisition equipment arranged at the inlet of the tobacco shred drying equipment.

The moisture detection device can be a device for detecting the moisture of the tobacco shreds to be processed at the inlet of the tobacco drying device. The flow acquisition equipment is used for acquiring the tobacco shred flow of the tobacco shreds to be processed at the inlet of the tobacco shred drying equipment.

Specifically, when detecting that the tobacco shred to be processed exists at the inlet of the tobacco shred drying equipment, detecting inlet moisture of the tobacco shred to be processed through the moisture detection equipment, and obtaining first moisture data corresponding to the tobacco shred to be processed. And obtaining the tobacco shred flow at the tobacco shred drying inlet according to the flow acquisition equipment arranged at the tobacco shred drying inlet. Based on the data, a data basis can be provided for the subsequent adjustment of the power of the dried shreds.

Optionally, the detecting device for detecting inlet moisture of the tobacco shred to be processed based on the moisture detecting device obtains first moisture data of the tobacco shred to be processed, including: performing inlet moisture detection on the tobacco shreds to be processed based on the moisture detection equipment to obtain moisture data to be processed of the tobacco shreds to be processed; and filtering and denoising the water data to be processed to obtain first water data.

The moisture data to be processed can be understood as raw moisture data of the cut tobacco to be processed detected at the inlet of the cut tobacco drying device. The filtering and noise reduction treatment can be to filter the tobacco shreds to be treated by using corresponding filters. Alternatively, the filter may be one or more of a median filter, a curve fitting filter, a low-pass filter, and the like, and the kind of the filter is not limited in this embodiment.

Specifically, the original moisture data at the inlet of the silk drying device, namely the moisture data to be processed, is obtained by utilizing the moisture detection device. And filtering and denoising the to-be-processed moisture data by using a corresponding filter to obtain first moisture data with noise and interference removed. Based on the method, the accuracy of the first moisture data can be ensured, and accurate data support is provided for the follow-up determination of the wire drying power.

And S120, processing the first moisture data and the tobacco shred flow according to the first model predictive controller to obtain the predicted hot air temperature corresponding to the tobacco shreds to be processed.

The predicted hot air temperature is the predicted hot air temperature corresponding to the next-time silk drying equipment. The first Model predictive controller may be a Model predictive controller for processing the first moisture data and tobacco flow, and optionally the first Model predictive controller is an MPC (Model-based Predictive Control) controller.

Specifically, first moisture data and tobacco flow at the current moment are input into a first model prediction controller, and corresponding predicted hot air temperature is determined through a logic relationship among the first moisture data, the tobacco flow and the moisture data of tobacco to be processed at an outlet of the tobacco drying equipment, so that the moisture stability at the outlet of the tobacco drying equipment is ensured based on the predicted hot air temperature.

And S130, determining target tobacco shred drying power corresponding to the predicted hot air temperature based on the second model prediction controller and the predicted hot air temperature so as to determine the tobacco shred drying power of the tobacco shred drying equipment at the next moment based on the target tobacco shred drying power, and controlling second moisture data of the tobacco shreds to be processed.

The second moisture data are moisture data corresponding to the outlet of the silk drying device at the next moment. The second model predictive controller may be a model predictive controller for determining a target cut tobacco power corresponding to a predicted hot air temperature, and optionally the second model predictive controller is an MPC controller. The target wire drying power can be understood as a predicted power value which can be adjusted by the wire drying equipment at the next moment.

Specifically, certain inertia and hysteresis exist in the process of controlling the temperature of hot air of the silk drying equipment. It will be appreciated that after the hot air temperature in the yarn drying apparatus is adjusted based on the yarn drying power, a certain time interval may be required for the actual hot air temperature to reach the adjusted hot air temperature. Then, the predicted hot air temperature is processed according to the second model prediction controller to determine the target drying wire power corresponding to the predicted hot air temperature, so that the time required for reaching the predicted hot air temperature is reduced. Based on the method, the drying power of the drying equipment can be conveniently adjusted according to the target drying power, the automatic control of the second moisture data is realized, and the stability of the second moisture data is ensured.

Optionally, determining the tobacco drying power of the tobacco drying device at the next moment based on the target tobacco drying power to control the second moisture data of the tobacco shreds to be processed includes: acquiring the power of the to-be-processed wire drying corresponding to the wire drying equipment at the current moment; and when the second moisture data is determined not to exceed the preset outlet moisture range, adjusting the power of the to-be-processed wire drying based on the target wire drying power, and taking the adjusted power of the to-be-processed wire drying as the wire drying power of the wire drying equipment at the next moment.

The power of the to-be-processed cut tobacco drying can be understood as the corresponding cut tobacco drying power of the cut tobacco drying equipment at the current moment. The preset outlet moisture range can be a preset standard numerical range of moisture data corresponding to tobacco shreds to be processed at the outlet of the tobacco drying equipment.

Specifically, the power of the to-be-processed cut tobacco drying device corresponding to the cut tobacco drying device at the current moment is obtained. Because the second moisture data has a certain logic relation with the wire drying power of the wire drying equipment, the wire drying power to be processed is adjusted based on the target wire drying power, and whether the second moisture data is in a preset outlet moisture range or not is observed in the process, namely, the wire drying power of the wire drying equipment at the next moment is determined under the condition that the second moisture data does not exceed the preset outlet moisture range.

According to the technical scheme, when the tobacco shred to be processed at the inlet of the tobacco shred drying equipment is detected, first moisture data and tobacco shred flow corresponding to the tobacco shred to be processed at the current moment are obtained, and a data basis is provided for subsequent tobacco shred drying power adjustment. And processing the first moisture data and the tobacco shred flow according to the first model prediction controller to obtain a predicted hot air temperature, inputting the predicted hot air temperature into the second model prediction controller to obtain a tobacco shred drying power corresponding to the predicted hot air temperature, thereby realizing control of the second moisture data. The problems that a large amount of time and cost are consumed due to repeated adjustment of the power of the cut tobacco drying in the prior art, and the stability of second moisture data cannot be guaranteed are solved. The invention not only realizes the accurate adjustment of the power of the dried shreds, but also ensures the stability of the second moisture data.

Example two

Fig. 2 is a flowchart of a model predictive controller training method according to a second embodiment of the present invention, where, based on the above embodiment, model parameters of a first model predictive controller and a second model predictive controller to be trained need to be adjusted before data processing is performed based on the first model predictive controller and the second model predictive controller. The specific implementation manner can be seen in the technical scheme of the embodiment. Wherein, the technical terms identical to or corresponding to the above embodiments are not repeated herein. As shown in fig. 2, the method includes:

S210, acquiring a plurality of batches of sample cut tobaccos, and acquiring first sample moisture data and sample cut tobacco flow of the sample cut tobaccos when detecting that the current batches of sample cut tobaccos exist at the inlet of the cut tobacco drying device.

The sample cut tobacco can be cut tobacco of different batches. The batch is the production batch of the cut tobacco. The first moisture data may be understood as moisture data of the sample cut tobacco at the inlet of the cut tobacco drying apparatus. Sample cut tobacco flow rate can be understood as the cut tobacco flow rate of the sample cut tobacco at the inlet of the cut tobacco drying device.

Specifically, before optimizing and adjusting the control parameters of the first model prediction controller, a plurality of production batches of sample cut tobaccos can be obtained first, so as to train a model based on first sample moisture data corresponding to the sample cut tobaccos. In order to provide accuracy of the model, the sample tobacco shreds can be obtained as much and as abundant as possible, so that first sample moisture data and sample tobacco shred flow corresponding to different production batches can be obtained, and the data processing accuracy of the first model prediction controller is provided.

S220, acquiring second sample moisture data of the sample tobacco shreds, wherein the second sample moisture data is actual moisture data corresponding to the sample tobacco shreds at the outlet of the tobacco shred drying device.

Specifically, when detecting that the sample cut tobacco exists at the outlet of the cut tobacco drying device, detecting actual moisture data of the sample cut tobacco according to the moisture detection device arranged at the outlet of the cut tobacco drying device, and obtaining second sample moisture data.

And S230, when the second sample moisture data does not exceed the preset outlet moisture range, processing the first sample moisture data and the sample tobacco shred flow based on the to-be-trained first model prediction controller to obtain the sample hot air temperature of the sample tobacco shreds.

The preset outlet moisture range can be a preset standard numerical range of moisture data corresponding to tobacco shreds to be processed at the outlet of the tobacco drying equipment. The first model predictive controller to be trained may be a model predictive control requiring adjustment of an optimal control parameter. The control parameter may be a weight value and a priority for controlling the second sample moisture data. The sample hot air temperature can be the predicted hot air temperature corresponding to the sample tobacco shred.

Specifically, the first sample moisture data and the sample tobacco shred flow are processed based on the first model predictive controller to be trained, so that the sample hot air temperature of the sample tobacco shred is obtained under the condition that the second sample moisture data does not exceed the preset outlet moisture range, and the control parameters in the first model predictive controller to be trained are adjusted based on the sample hot air temperature.

S240, adjusting control parameters of the first model predictive controller to be trained based on the sample hot air temperature and the preset hot air temperature, and taking the first model predictive controller to be trained after adjusting the control parameters as the first model predictive controller.

The preset hot air temperature can be understood as a preset hot air temperature standard value of the silk drying equipment at the next moment. The control parameter may be a weight value and a priority for controlling the second sample moisture data.

Specifically, under the condition that the second sample moisture data does not exceed the preset outlet moisture range, adjusting the control parameters of the first model predictive controller to be trained based on the preset hot air temperature so that the sample hot air temperature is close to the preset hot air temperature, and taking the first model predictive controller to be trained after the control parameters are adjusted as the first model predictive controller.

The first model predictive controller to be trained is taken as an MPC controller, the preset hot air temperature is taken as a hot air temperature set value, and the first sample moisture data is taken as inlet moisture for illustration. The actual value of the outlet moisture is the actual moisture data of the sample cut tobacco at the outlet of the cut tobacco drying device. Referring to fig. 3, fig. 3 is a schematic diagram showing the logical relationship between the actual value of the outlet moisture and each parameter. Based on the logical relationships between the various data in FIG. 3, control, operating, and disturbance variables in the MPC controller are determined. As shown in fig. 4, fig. 4 is a schematic diagram of variable information of the MPC controller. The outlet moisture in fig. 4 is the second sample moisture data. And adjusting each control parameter in the graph 4 according to the preset hot air temperature and the sample hot air temperature so as to realize training of the MPC controller based on the sample tobacco shreds.

Optionally, the method further comprises: and performing visualization processing on the first sample moisture data, the sample tobacco flow, the second sample moisture data, the sample hot air temperature and the preset hot air temperature to obtain a visualized image, and adjusting the control parameters based on the visualized image to obtain adjusted control parameters.

Wherein the visualized image may be an image in which data associated with a training process of the first model predictive controller to be trained is visualized.

Specifically, the first sample moisture data, the sample tobacco flow, the second sample moisture data, the sample hot air temperature and the preset hot air temperature of a plurality of batches are subjected to visualization processing, corresponding visualization images are drawn, and control parameters are conveniently adjusted according to data changes in the visualization images, so that the first model prediction controller is obtained.

S250, determining the sample hot air temperature corresponding to the sample tobacco shreds in the current batch for the sample tobacco shreds in the multiple batches.

Specifically, for the sample cut tobacco of multiple batches, the sample hot air temperature of the corresponding batch may be obtained through the steps of S210 to S230, so as to adjust the model parameters of the second model predictive controller to be trained based on the sample hot air temperature.

S260, acquiring the actual hot air temperature of the sample cut tobacco in the cut tobacco drying equipment.

The actual hot air temperature is the actual temperature of the tobacco shred drying equipment acting on the sample tobacco shreds.

Specifically, in the process of drying the sample cut tobacco by the tobacco drying equipment, the actual hot air temperature is obtained according to the temperature acquisition equipment so as to adjust the model parameters based on the actual hot air temperature and the sample hot air temperature.

S270, adjusting model parameters of the second model predictive controller to be trained based on the actual hot air temperature and the sample hot air temperature, and taking the second model predictive controller to be trained after adjusting the model parameters as the second model predictive controller.

Specifically, when the actual hot air temperature is lower than the sample hot air temperature, adjusting model parameters of a second model predictive controller to be trained so as to increase the wire drying power of the wire drying equipment; and when the actual hot air temperature is higher than the sample hot air temperature, adjusting model parameters of a second model predictive controller to be trained so as to reduce the wire drying power of the wire drying equipment. And taking the second model predictive controller to be trained after the model parameters are adjusted in the mode as the second model predictive controller so as to adjust the corresponding tobacco drying power of the tobacco shreds to be processed subsequently.

Illustratively, in combination with the above example, the second model predictive controller to be trained is an MPC controller. As shown in FIG. 5, FIG. 5 is a schematic diagram of the logical relationship between sample hot air temperature and drying wire power in order to determine the control, operating and disturbance variables in the MPC controller based on the logical relationship. As shown in fig. 6, fig. 6 is a schematic diagram of variable information in the MPC controller. In fig. 6, the sample cut tobacco drying power is the predicted cut tobacco drying power corresponding to the sample cut tobacco output by the second model prediction controller to be trained. And adjusting parameters corresponding to the sample drying power according to the actual hot air temperature and the sample hot air temperature to obtain a second model predictive controller.

In addition, in the training process of the second model predictive controller to be trained, the data associated with the training process can be subjected to visual processing so as to intuitively adjust the drying wire power based on the corresponding visual image. For example, as shown in fig. 7 and 8, the control proportion is increased by increasing the weight value corresponding to the drying power, the drying power is adjusted, and the actual hot air temperature corresponding to the adjusted drying power is substantially identical to the sample hot air temperature. Based on the method, under the condition that the actual value of the outlet moisture is stable, the accurate adjustment of the power of the dried shreds is realized.

According to the technical scheme, through the acquisition of the sample tobacco shreds in a plurality of batches, when the current batch of sample tobacco shreds exist at the inlet of the tobacco shred drying equipment, the first sample moisture data, the sample tobacco shred flow and the second sample moisture data of the sample tobacco shreds are acquired. And when the second sample moisture data does not exceed the preset outlet moisture range, processing the first sample moisture data and the sample tobacco shred flow based on the to-be-trained first model prediction controller to obtain the sample hot air temperature of the sample tobacco shreds. Based on the sample hot air temperature and the preset hot air temperature, adjusting control parameters of the first model predictive controller to be trained, and taking the first model predictive controller to be trained after adjusting the control parameters as the first model predictive controller so as to adjust the next-time tobacco drying power corresponding to the tobacco shreds to be processed based on the first model predictive controller. The method comprises the steps of obtaining the actual hot air temperature of sample tobacco shreds in tobacco shred drying equipment, adjusting model parameters of a second model prediction controller to be trained based on the actual hot air temperature and the sample hot air temperature, and taking the second model prediction controller to be trained after the model parameters are adjusted as the second model prediction controller, so that the power of drying tobacco shreds at the next moment corresponding to the tobacco shreds to be processed based on the second model prediction controller is convenient to adjust. According to the invention, the model parameters in the first model predictive controller to be trained and the second model predictive controller to be trained are adjusted and optimized, so that the control precision of the first model predictive controller and the second model predictive controller is improved, and the accurate adjustment of the wire drying power and the stable control of the outlet moisture of the wire drying equipment in the subsequent processing process are ensured.

Example III

Fig. 9 is a schematic structural diagram of a tobacco shred moisture stability control device according to a third embodiment of the present invention. As shown in fig. 9, the apparatus includes: a data acquisition module 310, a predicted hot air temperature determination module 320, and a cut tobacco drying power determination module 330.

The data acquisition module 310 is configured to acquire first moisture data and tobacco flow corresponding to tobacco shred to be processed at the current moment when detecting that the tobacco shred to be processed exists at the inlet of the tobacco shred drying device; the predicted hot air temperature determining module 320 is configured to process the first moisture data and the tobacco shred flow according to the first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shred to be processed, where the predicted hot air temperature is a predicted hot air temperature corresponding to the tobacco shred drying device at the next time; and the tobacco drying power determining module 330 is configured to determine, based on the second model prediction controller and the predicted hot air temperature, a target tobacco drying power corresponding to the predicted hot air temperature, so as to determine, based on the target tobacco drying power, a tobacco drying power of a tobacco drying device at a next moment, so as to control second moisture data of tobacco shreds to be processed, where the second moisture data is moisture data corresponding to an outlet of the tobacco drying device at the next moment.

According to the technical scheme, when the tobacco shred to be processed exists at the inlet of the tobacco shred drying equipment, first moisture data and tobacco shred flow corresponding to the tobacco shred to be processed at the current moment are obtained, and a data basis is provided for subsequent tobacco shred drying power adjustment. And processing the first moisture data and the tobacco shred flow according to the first model prediction controller to obtain a predicted hot air temperature, inputting the predicted hot air temperature into the second model prediction controller to obtain a tobacco shred drying power corresponding to the predicted hot air temperature, thereby realizing control of the second moisture data. The problems that a large amount of time and cost are consumed due to repeated adjustment of the power of the cut tobacco drying in the prior art, and the stability of second moisture data cannot be guaranteed are solved. The invention not only realizes the accurate adjustment of the power of the dried shreds, but also ensures the stability of the second moisture data.

On the basis of the above embodiment, optionally, the data acquisition module includes: the first moisture data determining unit is used for detecting inlet moisture of the tobacco shreds to be processed based on the moisture detecting equipment to obtain first moisture data of the tobacco shreds to be processed; and the tobacco shred flow determining unit is used for determining the tobacco shred flow of the tobacco shreds to be processed based on the flow acquisition equipment arranged at the inlet of the tobacco shred drying equipment.

Optionally, the first moisture data determining unit includes: the to-be-processed moisture data determining subunit is used for carrying out inlet moisture detection on the tobacco shreds to be processed based on the moisture detection equipment to obtain to-be-processed moisture data of the tobacco shreds to be processed; the data noise reduction processing subunit is used for carrying out filtering noise reduction processing on the moisture data to be processed to obtain first moisture data.

Optionally, the apparatus further comprises: the control parameter adjusting module is used for acquiring a plurality of batches of sample tobacco shreds, and acquiring first sample moisture data and sample tobacco shred flow of the sample tobacco shreds when detecting that the current batches of sample tobacco shreds exist at the inlet of the tobacco shred drying equipment; acquiring second sample moisture data of the sample tobacco shreds, wherein the second sample moisture data is actual moisture data corresponding to the sample tobacco shreds at the outlet of the tobacco shred drying equipment; when the second sample moisture data does not exceed the preset outlet moisture range, processing the first sample moisture data and the sample tobacco shred flow based on the to-be-trained first model prediction controller to obtain the sample hot air temperature of the sample tobacco shreds; based on the sample hot air temperature and the preset hot air temperature, adjusting control parameters of the first model predictive controller to be trained, and taking the first model predictive controller to be trained after adjusting the control parameters as the first model predictive controller.

Optionally, the apparatus further comprises: the model parameter adjusting module is used for determining the sample hot air temperature corresponding to the sample tobacco shreds in the current batch for the sample tobacco shreds in a plurality of batches; acquiring the actual hot air temperature of the sample cut tobacco in the cut tobacco drying equipment; and adjusting model parameters of the second model predictive controller to be trained based on the actual hot air temperature and the sample hot air temperature, and taking the second model predictive controller to be trained after adjusting the model parameters as the second model predictive controller.

Optionally, the apparatus further comprises: the data visualization processing module is used for performing visualization processing on the first sample moisture data, the sample tobacco flow, the second sample moisture data, the sample hot air temperature and the preset hot air temperature to obtain a visualized image, so that control parameters are adjusted based on the visualized image, and adjusted control parameters are obtained.

Optionally, the drying wire power determining module includes: the to-be-processed wire drying power determining unit is used for obtaining the to-be-processed wire drying power corresponding to the wire drying equipment at the current moment; and the drying wire power adjusting unit is used for adjusting the drying wire power to be processed based on the target drying wire power when the second moisture data is determined not to exceed the preset outlet moisture range, and taking the adjusted drying wire power to be processed as the drying wire power of the drying wire equipment at the next moment.

The tobacco shred moisture stability control device provided by the embodiment of the invention can execute the tobacco shred moisture stability control method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example IV

Fig. 10 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 10, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the tobacco shred moisture stability control method.

In some embodiments, the tobacco shred moisture stability control method may be implemented as a computer program, which is tangibly embodied on a computer readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the cut tobacco moisture stability control method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the cut tobacco moisture stability control method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

The computer program for implementing the tobacco shred moisture stability control method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

Example five

The fifth embodiment of the present invention also provides a computer readable storage medium, where the computer readable storage medium stores computer instructions for causing a processor to execute a method for controlling moisture stability of tobacco shreds, the method comprising:

When detecting that tobacco shreds to be processed exist at the inlet of the tobacco shred drying equipment, acquiring first moisture data and tobacco shred flow corresponding to the tobacco shreds to be processed at the current moment; processing the first moisture data and the tobacco shred flow according to a first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shred to be processed, wherein the predicted hot air temperature is the predicted hot air temperature corresponding to the tobacco shred drying equipment at the next moment; and determining target tobacco drying power corresponding to the predicted hot air temperature based on the second model prediction controller and the predicted hot air temperature, so as to determine the tobacco drying power of the tobacco drying equipment at the next moment based on the target tobacco drying power, and controlling second moisture data of the tobacco shreds to be processed, wherein the second moisture data is moisture data corresponding to an outlet of the tobacco drying equipment at the next moment.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. The method for controlling the moisture stability of the tobacco shreds is characterized by comprising the following steps of:

When detecting that tobacco shreds to be processed exist at an inlet of a tobacco shred drying device, acquiring first moisture data and tobacco shred flow corresponding to the tobacco shreds to be processed at the current moment;

processing the first moisture data and the tobacco shred flow according to a first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shred to be processed, wherein the predicted hot air temperature is a predicted hot air temperature corresponding to the tobacco shred drying equipment at the next moment;

And determining target tobacco drying power corresponding to the predicted hot air temperature based on a second model prediction controller and the predicted hot air temperature, so as to determine the tobacco drying power of the tobacco drying equipment at the next moment based on the target tobacco drying power, and controlling second moisture data of the tobacco shreds to be processed, wherein the second moisture data is moisture data corresponding to an outlet of the tobacco drying equipment at the next moment.

2. The method of claim 1, wherein the obtaining the first moisture data and the tobacco flow corresponding to the tobacco to be processed at the current time includes:

Performing inlet moisture detection on the tobacco shreds to be processed based on moisture detection equipment to obtain first moisture data of the tobacco shreds to be processed;

And determining the tobacco shred flow of the tobacco shreds to be processed based on a flow acquisition device arranged at the inlet of the tobacco shred drying device.

3. The method according to claim 2, wherein the detecting the inlet moisture of the tobacco shred based on the moisture detecting device to obtain the first moisture data of the tobacco shred to be processed includes:

Performing inlet moisture detection on the tobacco shreds to be processed based on the moisture detection equipment to obtain the moisture data to be processed of the tobacco shreds to be processed;

And filtering and denoising the to-be-processed moisture data to obtain the first moisture data.

4. The method as recited in claim 1, further comprising:

obtaining a plurality of batches of sample tobacco shreds, and obtaining first sample moisture data and sample tobacco shred flow of the sample tobacco shreds when detecting that the current batches of sample tobacco shreds exist at the inlet of the tobacco shred drying equipment;

Acquiring second sample moisture data of the sample cut tobacco, wherein the second sample moisture data is actual moisture data corresponding to the sample cut tobacco at the outlet of the cut tobacco drying device;

When the second sample moisture data does not exceed the preset outlet moisture range, processing the first sample moisture data and the sample tobacco shred flow based on a to-be-trained first model prediction controller to obtain the sample hot air temperature of the sample tobacco shreds;

And adjusting the control parameters of the to-be-trained first model predictive controller based on the sample hot air temperature and the preset hot air temperature, and taking the to-be-trained first model predictive controller after adjusting the control parameters as a first model predictive controller.

5. The method as recited in claim 4, further comprising:

For a plurality of batches of sample tobacco shreds, determining the sample hot air temperature corresponding to the sample tobacco shreds in the current batch;

Acquiring the actual hot air temperature of the sample cut tobacco in the cut tobacco drying equipment;

and adjusting model parameters of the second model predictive controller to be trained based on the actual hot air temperature and the sample hot air temperature, and taking the second model predictive controller to be trained after adjusting the model parameters as the second model predictive controller.

6. The method of claim 4, further comprising:

And performing visualization processing on the first sample moisture data, the sample tobacco flow, the second sample moisture data, the sample hot air temperature and the preset hot air temperature to obtain a visualized image, and adjusting the control parameters based on the visualized image to obtain adjusted control parameters.

7. The method of claim 1, wherein determining the tobacco shred drying power of the tobacco shred drying apparatus at a next time based on the target tobacco shred drying power to control the second moisture data of the tobacco shred to be processed comprises:

acquiring the power of the to-be-processed cut tobacco drying corresponding to the cut tobacco drying equipment at the current moment;

And when the second moisture data is determined not to exceed the preset outlet moisture range, adjusting the power of the to-be-processed wire drying based on the target wire drying power, and taking the adjusted power of the to-be-processed wire drying as the wire drying power of the wire drying equipment at the next moment.

8. A cut tobacco moisture stability control device, characterized by comprising:

The data acquisition module is used for acquiring first moisture data and tobacco flow corresponding to the tobacco shreds to be processed at the current moment when the tobacco shreds to be processed are detected to exist at the inlet of the tobacco shred drying equipment;

The predicted hot air temperature determining module is used for processing the first moisture data and the tobacco shred flow according to a first model prediction controller to obtain a predicted hot air temperature corresponding to the tobacco shred to be processed, wherein the predicted hot air temperature is the predicted hot air temperature corresponding to the tobacco shred drying equipment at the next moment;

And the tobacco drying power determining module is used for determining target tobacco drying power corresponding to the predicted hot air temperature based on a second model prediction controller and the predicted hot air temperature so as to determine the tobacco drying power of the tobacco drying equipment at the next moment based on the target tobacco drying power and control second moisture data of the tobacco shreds to be processed, wherein the second moisture data is moisture data corresponding to an outlet of the tobacco drying equipment at the next moment.

9. An electronic device, the electronic device comprising:

at least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the tobacco shred moisture stability control method of any one of claims 1 to 7.

10. A computer readable storage medium storing computer instructions for causing a processor to execute the tobacco shred moisture stability control method of any one of claims 1 to 7.