A parameter adjustment method and device, and an electronic device

Abstract

The application discloses a parameter adjustment method and device and electronic equipment, wherein the method comprises: obtaining a to-be-adjusted operation parameter corresponding to a preset outlet moisture content index when the outlet moisture content of a device meets the preset outlet moisture content index; wherein the to-be-adjusted operation parameter is an internal operation combination parameter of the device; based on a parameter adjustment step length associated with an iteration process, iteratively adjusting the to-be-adjusted operation parameter until a preset iteration end condition is met, so as to obtain a target operation parameter corresponding to a difference between the outlet moisture content of the device and a standard outlet moisture content in the preset outlet moisture content index being less than a preset difference; and running the target operation parameter on the device.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tobacco processing, and in particular to a parameter adjustment method and device and electronic equipment. BACKGROUND

[0002] A cut tobacco dryer is a key device in a cut tobacco production line, which is used for drying cut tobacco. The moisture content of the outlet of the cut tobacco dryer is affected by various factors, and therefore, in the related art, if one or more device operation process parameters are directly adjusted, the moisture content of the cut tobacco cannot meet the current process quality requirements. SUMMARY

[0003] Therefore, the present application provides a parameter adjustment method and device and electronic equipment.

[0004] The technical solution of the present application is implemented as follows:

[0005] The present application provides a parameter adjustment method, which comprises the following steps:

[0006] Obtaining a to-be-adjusted operation parameter corresponding to a preset outlet moisture content index, wherein the to-be-adjusted operation parameter is an internal operation combination parameter of the device;

[0007] Based on an iteration process associated parameter adjustment step, iteratively adjusting the to-be-adjusted operation parameter until a preset iteration end condition is met, obtaining a target operation parameter corresponding to the outlet moisture content of the device meeting the preset outlet moisture content index and the difference between the outlet moisture content and a standard outlet moisture content in the preset outlet moisture content index being less than a preset difference value;

[0008] Running the target operation parameter on the device.

[0009] The present application provides a parameter adjustment device, which comprises the following modules:

[0010] An obtaining module, configured to obtain a to-be-adjusted operation parameter corresponding to a preset outlet moisture content index, wherein the to-be-adjusted operation parameter is an internal operation combination parameter of the device;

[0011] An adjustment module, configured to, based on an iteration process associated parameter adjustment step, iteratively adjust the to-be-adjusted operation parameter until a preset iteration end condition is met, obtain a target operation parameter corresponding to the outlet moisture content of the device meeting the preset outlet moisture content index and the difference between the outlet moisture content and a standard outlet moisture content in the preset outlet moisture content index being less than a preset difference value;

[0012] A running module, configured to run the target operation parameter on the device.

[0013] An electronic device is provided, including a processor, a memory and a communication bus; the communication bus is used to realize the communication connection between the processor and the memory; the processor is used to execute the program in the memory to realize the parameter adjustment method as described above.

[0014] The parameter adjustment method, device and electronic device provided by the embodiments of the present application first obtain the to-be-adjusted operation parameter corresponding to the preset outlet moisture content index that the outlet moisture content of the device meets; wherein the to-be-adjusted operation parameter is an internal operation combination parameter of the device; then, based on the parameter adjustment step length associated with the iteration process, the to-be-adjusted operation parameter is iteratively adjusted until the preset iteration end condition is met, and the target operation parameter corresponding to the outlet moisture content of the device meeting the preset outlet moisture content index and the difference between the standard outlet moisture content in the preset outlet moisture content index being less than the preset difference is obtained; finally, the target operation parameter is run on the device; in this way, by iteratively adjusting the to-be-adjusted operation parameter corresponding to the preset outlet moisture content index that the outlet moisture content of the device meets, the online adaptive adjustment of the operation parameter of the device can be realized, that is, on the basis of realizing the dynamic real-time adjustment of the operation parameter of the device, the target operation parameter of the device can be more efficiently and conveniently obtained, that is, the outlet moisture content corresponding thereto is closer to the standard outlet moisture content in the preset outlet moisture content index.

[0015] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, but not limiting the technical solutions provided by the embodiments of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0017] Figure 1 The flowchart of the first parameter adjustment method provided by the embodiments of the present application is shown in the figure;

[0018] Figure 2 The flowchart of the second parameter adjustment method provided by the embodiments of the present application is shown in the figure;

[0019] Figure 3 The flowchart of the third parameter adjustment method provided by the embodiments of the present application is shown in the figure;

[0020] Figure 4A process schematic diagram for determining the optimal outlet moisture content of a cut tobacco dryer and the equipment operating parameters matched therewith by using the parameter adjustment method provided in the embodiments of the present application is shown in FIG. 1.

[0021] Figure 5 A schematic diagram of the component structure of a parameter adjustment device provided in the embodiments of the present application is shown in FIG. 2.

[0022] Figure 6 A schematic diagram of the component structure of a computer device provided in the embodiments of the present application is shown in FIG. 3. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application.

[0024] It should be understood that the "embodiments of the present application" or "the foregoing embodiments" mentioned throughout the specification mean that the specific features, structures or characteristics related to the embodiments are included in at least one embodiment of the present application. Therefore, "in the embodiments of the present application" or "in the foregoing embodiments" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in any suitable manner in one or more embodiments. In various embodiments of the present application, the size of the serial number of the above processes does not mean the order of execution. The execution order of the processes should be determined according to their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The serial number of the above embodiments of the present application is only for description, not representing the advantages and disadvantages of the embodiments.

[0025] Unless otherwise specified, the electronic device executes any step in the embodiments of the present application, which can be performed by the processor of the electronic device. It is also worth noting that the embodiments of the present application do not limit the order of the steps executed by the electronic device. In addition, the way data is processed in different embodiments can be the same method or different method. It should be noted that any step in the embodiments of the present application can be independently executed by the electronic device, i.e., the electronic device can execute any step in the embodiments below without depending on the execution of other steps.

[0026] In order to better understand the embodiments of the present application, the shortcomings existing in the related art will be described first.

[0027] When the moisture content of the cut tobacco at the outlet of the cut tobacco dryer does not meet the expected quality control requirements, the parameters of multiple subsequent production processes of the cut tobacco production line need to be adjusted at the same time, so as to make up for the product quality of the cut tobacco to meet certain control requirements. However, in the related art, because the process parameters in the cut tobacco link are related to and influence each other, it is difficult to adjust one or more process parameters to make the moisture content of the final cut tobacco meet the current process quality requirements.

[0028] In related technologies, the relevant parameters are usually adjusted using the following two methods to ensure that the water content of the blades meets the relevant process quality requirements.

[0029] Method 1: Improvement of the moisture content control system for the blades in a drum dryer. This method determines the required dehydration speed of the blades based on the average moisture content at the inlet of the drum dryer. Then, it calculates the real-time process airflow volume by analyzing the correlation between the process airflow volume and the dehydration speed, allowing for pre-adjustment and enabling the control system to respond quickly to changes in the moisture content of the incoming blades. However, this method has drawbacks. Using an average value to calculate the required dehydration speed can lead to untimely adjustments for non-compliance within a certain period. Furthermore, the calculation of the dehydration speed based on the blade moisture content is subject to error depending on the incoming material. Therefore, simply adjusting the dehydration speed alone cannot meet the current process requirements.

[0030] Method 2: Optimization Analysis of Blade Moisture Content Control at the Outlet of a Drum-Type Thin Plate Drying Machine. This method adjusts the drum wall pressure, which in turn adjusts the pressure of the steam entering the thin plate. The thin plate temperature is determined by the steam pressure, and the temperature is calculated by converting steam pressure to temperature. In other words, the moisture content of the outlet blades is controlled by adjusting the drum wall pressure. However, this method only considers the influence of thin plate temperature and steam pressure on the outlet moisture content. In actual production, factors such as drum rotation speed, hot air temperature, and hot air velocity also affect the outlet moisture content. This method ignores the influence of these factors and therefore cannot meet the relevant process requirements.

[0031] To address the problems existing in related technologies, this application provides a parameter adjustment method, which is applied to a processing device or electronic device. The parameter adjustment method provided in this embodiment can be implemented by a computer program, which, when executed, completes each step of the parameter adjustment method provided in this embodiment. In some embodiments, the computer program can be executed by a processor in a processing device. Figure 1 This is a flowchart illustrating a parameter adjustment method provided in an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps:

[0032] Step 101: Obtain the operating parameters to be adjusted corresponding to the preset outlet moisture content index of the equipment.

[0033] The operating parameters to be adjusted are the internal operating combination parameters of the equipment.

[0034] In some embodiments, the device can be a drying machine or the like in a related cut tobacco production line, where the drying machine can be any one of a drum drying machine or a tower drying machine. In other embodiments of the present application, the device is taken as an example of a drying machine.

[0035] In some embodiments, the outlet moisture content of the device refers to the moisture content of the corresponding cut tobacco obtained by using the device to dry the cut tobacco, i.e., the corresponding moisture content of the cut tobacco at the outlet of the device.

[0036] It should be noted that the outlet moisture content of the device can be represented by a numerical value, such as 15%.

[0037] The preset outlet moisture content index can be represented by a percentage, for example, the preset outlet moisture content index is 12% ± 0.5%.

[0038] In some embodiments, the operating parameter to be adjusted is the operating parameter of the drying machine when the outlet moisture content falls within the numerical range corresponding to the preset outlet moisture content index, such as the hot air temperature (hot air fan frequency) of the drying machine, the amount of moisture removal air (moisture removal air door opening degree), the cylinder wall temperature, etc. In other embodiments of the present application, the operating parameter to be adjusted includes at least the hot air temperature, the amount of moisture removal air, and the cylinder wall temperature, i.e., the operating parameter to be adjusted is a combination parameter.

[0039] Step 102, based on the parameter adjustment step length associated with the iteration process, iteratively adjusting the operating parameter to be adjusted until the preset iteration end condition is met, obtaining the outlet moisture content of the device that meets the preset outlet moisture content index, and the difference between the standard outlet moisture content in the preset outlet moisture content index and the target operating parameter corresponding to the preset difference.

[0040] In some embodiments, based on the parameter adjustment step length associated with the iteration process, the operating parameter to be adjusted is iteratively adjusted until the iteration process meets the preset iteration end condition; where the preset iteration end condition can refer to: finding the optimal solution within less than or equal to the preset iteration times and less than or equal to the preset iteration time, then stopping the iteration; if there is no optimal solution all the time, but the preset iteration time or the preset iteration number is reached to stop the iteration, and the related solution is selected from the multiple solutions obtained from multiple iteration processes as the optimal solution.

[0041] In some embodiments, after the outlet moisture content of the device meets the to-be-adjusted operating parameter corresponding to the preset outlet moisture content index, the related algorithm such as gradient descent method can be used for iterative optimization, and the iterative optimization is stopped under the conditions of related iteration times, iteration time and related threshold value, and the target operating parameter with optimal performance is screened from the related parameters generated in the multiple iteration processes, wherein the outlet moisture content of the device meets the preset outlet moisture content index. The performance optimal can refer to that the difference between the outlet moisture content of the device corresponding to the target operating parameter and the standard outlet moisture content in the preset outlet moisture content index is less than a preset difference. Here, the preset difference can be a value set in advance, for example, 0.5% and the like.

[0042] Wherein, when the preset outlet moisture content index is 12% ± 0.5%, the standard outlet moisture content is 12%.

[0043] It should be noted that the parameter adjustment step size associated with the iteration process can be dynamically adjusted with each iteration, or it can be a fixed step size. Here, the parameter adjustment step size can be different for different parameters.

[0044] Step 103, running the target operating parameter on the device.

[0045] In some embodiments, after the target operating parameter is determined, the device can be correspondingly controlled to run on the drying machine using the numerical value corresponding to the target operating parameter. That is, the optimal parameter combination obtained by iteration adjustment, that is, the target operating parameter, is used to automatically adjust the operating parameter of the device, that is, the drying machine, in real time through the outlet moisture content and the corresponding combination parameter through the related control system.

[0046] The parameter adjustment method provided by the embodiments of the present application first acquires the to-be-adjusted operation parameter corresponding to the preset outlet moisture content index to which the outlet moisture content of the device conforms; wherein the to-be-adjusted operation parameter is an internal operation combination parameter of the device; then, based on the parameter adjustment step length associated with the iteration process, the to-be-adjusted operation parameter is iteratively adjusted until the preset iteration end condition is met, so that the outlet moisture content of the device conforms to the preset outlet moisture content index, and the difference between the target operation parameter and the standard outlet moisture content in the preset outlet moisture content index is less than the preset difference; finally, the target operation parameter is run on the device; in this way, by iteratively adjusting the to-be-adjusted operation parameter corresponding to the preset outlet moisture content index to which the outlet moisture content of the device conforms, the online adaptive adjustment of the operation parameter of the device can be realized, that is, on the basis of dynamically and timely adjusting the operation parameter of the device, the target operation parameter of the device can be more efficiently and conveniently obtained, that is, the outlet moisture content corresponding thereto is closer to the standard outlet moisture content in the preset outlet moisture content index.

[0047] In some embodiments, based on the current outlet moisture content of the device at the current moment and the corresponding current device operation parameter, the corresponding to-be-adjusted operation parameter can be found and determined according to the preset outlet moisture content index; in this way, an effective combination parameter can be quickly searched in the controllable parameter range of the device, that is, the to-be-adjusted operation parameter corresponding to the preset outlet moisture content index to which the outlet moisture content of the device conforms, so that the way of determining the to-be-adjusted operation parameter is simple and convenient, that is, the step 101 provided by the above embodiments can be realized by the following steps 201 and 202, as shown in Figure 2 The method provided by another parameter adjustment method provided by the embodiments of the present application is shown in the flowchart, in combination with Figure 1 and Figure 2 The method comprises the following steps:

[0048] Step 201, acquiring the current outlet moisture content of the device at the current moment and the corresponding current device operation parameter.

[0049] In some embodiments, the current cut tobacco outlet moisture content of the drying machine at the current moment and the corresponding current device operation parameter of the drying machine are acquired.

[0050] Here, the current outlet moisture content can conform to the preset outlet moisture content index or not.

[0051] It should be noted that the current device operation parameter can also refer to the combination operation parameter of the hot air temperature (hot air fan frequency), the moisture removal air volume (moisture removal air door opening degree), and the cylinder wall temperature of the drying machine corresponding to the drying machine at the current moment.

[0052] Step 202, determining the to-be-adjusted operation parameter based on the current outlet moisture content, the preset outlet moisture content index, and the current device operation parameter.

[0053] In some embodiments, the initial operation parameter for iteration, i.e., the to-be-adjusted operation parameter, can be screened according to the acquired current outlet moisture content of the tobacco cutter, the current device operation parameter, and the preset outlet moisture content index set in advance.

[0054] In a feasible implementation, it can be determined whether the current outlet moisture content meets the preset outlet moisture content index, and then the to-be-adjusted operation parameter is determined based on the determination result, i.e., the two cases of meeting and not meeting. That is, the above step 202 can be implemented by the following steps 2021 and 2022 (not shown in the figure):

[0055] Step 2021, in the case where the current outlet moisture content meets the preset outlet moisture content index, the current device operation parameter is determined as the to-be-adjusted operation parameter.

[0056] In some embodiments, if it is determined that the current outlet moisture content meets the preset outlet moisture content index, i.e., the value corresponding to the current outlet moisture content falls within the value range of the preset outlet moisture content index, the current device operation parameter can be directly determined as the to-be-adjusted operation parameter.

[0057] For example, the preset outlet moisture content index is 12% ± 0.5%, and the value range thereof is (11.5%, 12.5%).

[0058] Step 2022, in the case where the current outlet moisture content does not meet the preset outlet moisture content index, the current device operation parameter is adjusted and screened based on the adjustable range corresponding to the current device operation parameter to obtain the to-be-adjusted operation parameter.

[0059] In some embodiments, if it is determined that the current outlet moisture content does not meet the preset outlet moisture content index, i.e., the value corresponding to the current outlet moisture content does not fall within the value range of the preset outlet moisture content index, further parameter search can be performed to determine the corresponding to-be-adjusted operation parameter. Here, the current device operation parameter can be adjusted multiple times within a controllable range based on the adjustable range corresponding to the current device operation parameter, so as to obtain a corresponding parameter set, and a to-be-adjusted operation parameter corresponding to an outlet moisture content meeting the preset outlet moisture content index is screened from the parameter set.

[0060] In a feasible implementation, in a case where the current outlet moisture content does not meet the preset outlet moisture content index, first, the current device operating parameter is adjusted based on the adjustable range corresponding to the current device operating parameter to obtain a set of to-be-screened operating parameters; second, the outlet moisture content corresponding to each to-be-screened operating parameter in the set of to-be-screened operating parameters is predicted; and finally, in the set of to-be-screened operating parameters, the to-be-screened operating parameter corresponding to the outlet moisture content meeting the preset outlet moisture content index is determined as the to-be-adjusted operating parameter. In this way, through multiple adjustments and related screening, the to-be-adjusted operating parameter used for subsequent iteration can be conveniently found, that is, the step 2022 provided in the above embodiment can be implemented through the following process:

[0061] First, in a case where the current outlet moisture content does not meet the preset outlet moisture content index, the current device operating parameter is adjusted based on the adjustable range corresponding to the current device operating parameter to obtain a set of to-be-screened operating parameters.

[0062] In some embodiments, in a case where the current outlet moisture content does not meet the preset outlet moisture content index, the current device operating parameter is adjusted based on the adjustable range corresponding to the current device operating parameter. Here, the current device operating parameter is a set of parameters, wherein each operating parameter corresponds to an adjustable range, and thus the adjustable range corresponding to the current device operating parameter can be determined based on the adjustable ranges corresponding to the multiple operating parameters, so as to adjust the current device operating parameter and obtain a set of to-be-screened operating parameters.

[0063] It should be noted that the set of to-be-screened operating parameters is obtained based on the current device operating parameter, which can be determined according to a genetic algorithm of operational research.

[0064] It should be noted that the set of to-be-screened operating parameters includes multiple to-be-screened operating parameters, and each to-be-screened operating parameter is a set of combined parameters.

[0065] Second, the outlet moisture content corresponding to each to-be-screened operating parameter in the set of to-be-screened operating parameters is predicted.

[0066] In some embodiments, the outlet moisture content corresponding to each to-be-screened operating parameter in the set of to-be-screened operating parameters can be predicted according to actual experience.

[0067] In some embodiments, the outlet moisture contents corresponding to different to-be-screened operating parameters can be the same or different.

[0068] Third, in the set of to-be-screened operating parameters, the to-be-screened operating parameter corresponding to the outlet moisture content meeting the preset outlet moisture content index is determined as the to-be-adjusted operating parameter.

[0069] In some embodiments, based on the predicted corresponding outlet moisture content, in the set of to-be-screened operating parameters, the corresponding value of the outlet moisture content falling within the value range of the preset outlet moisture content index, more corresponding to-be-screened operating parameters are screened and determined as to-be-adjusted operating parameters.

[0070] It should be noted that the to-be-adjusted operating parameters screened here are a group of operating parameters. If two or more to-be-screened operating parameters corresponding to the outlet moisture content meeting the preset outlet moisture content index are screened in the set of to-be-screened operating parameters, any to-be-screened operating parameter can be randomly screened or determined according to a certain screening rule as a to-be-adjusted operating parameter.

[0071] In some embodiments, first, the to-be-adjusted operating parameters are iteratively adjusted based on the parameter adjustment step length associated with the iteration process within a preset time period to obtain the nth round of device operating parameters; second, the outlet moisture content of the device corresponding to the nth round is predicted based on the nth round of device operating parameters; and finally, the target operating parameters are obtained based on the outlet moisture content corresponding to the nth round, the preset outlet moisture content index, the nth round of device operating parameters, and the preset iteration number. In this way, through multiple iterative adjustments, the internal operating parameters of the device can be adjusted online and adaptively, that is, on the basis of dynamically and real-timely adjusting the internal operating parameters of the device, the target operating parameters of the device can be obtained more efficiently and conveniently, that is, the outlet moisture content corresponding thereto is closer to the standard outlet moisture content in the preset outlet moisture content index. That is, the step 102 provided in the above embodiments can be realized by the following steps 301 to 303. For example, as shown in Figure 3 , a flowchart of a third parameter adjustment method provided by the embodiments of the present application is shown, which is described in combination with the steps shown in Figure 1 and Figure 3 .

[0072] Step 301, obtaining the nth round of device operating parameters by iteratively adjusting the to-be-adjusted operating parameters based on the parameter adjustment step length associated with the iteration process within a preset time period.

[0073] Wherein, n is an integer greater than 1.

[0074] In some embodiments, within a preset time period, first, the nth round of device operating parameters is determined, wherein n is an integer greater than 1, such as 2, 3, etc.; wherein the nth round of device operating parameters needs to be obtained within a certain time period, i.e. the preset time period. Here, the preset time period can refer to the preset iteration duration.

[0075] It should be noted that the nth round of device operating parameters can be obtained by iteratively adjusting the to-be-adjusted operating parameters based on the parameter adjustment step length associated with the iteration process.

[0076] In some possible implementation manners, first, the device running parameter in the n-i th round in the preset time period is acquired; here, i is a positive integer less than n; the device running parameter in the first round is a parameter obtained by adjusting a to-be-adjusted running parameter based on a parameter adjustment step length in the first round; the parameter adjustment step length in the first round is a preset parameter adjustment step length; the outlet moisture content corresponding to the n-i th round of the device is predicted based on the device running parameter in the n-i th round; second, the parameter adjustment step length in the n-1 th round is adjusted based on a difference between the outlet moisture content corresponding to the n-i th round and a standard outlet moisture content, to obtain a parameter adjustment step length in the n th round; and the device running parameter in the n-1 th round is adjusted based on the parameter adjustment step length in the n th round, to obtain a device running parameter in the n th round, that is, the step 301 provided in the foregoing embodiment can be implemented in the following manner of a step 3011 to a step 3014 (not shown in the figure):

[0077] The step 3011 acquires the device running parameter in the n-i th round in the preset time period.

[0078] Here, i is a positive integer less than n; the device running parameter in the first round is a parameter obtained by adjusting a to-be-adjusted running parameter based on a parameter adjustment step length in the first round; and the parameter adjustment step length in the first round is a preset parameter adjustment step length.

[0079] In some embodiments, when n is 5, i can be 1, 2, 3, 4, or any other value.

[0080] It should be noted that the device running parameter in the first round in the iteration process can be obtained by adjusting the to-be-adjusted running parameter that is acquired at the beginning based on the parameter adjustment step length in the first round, and the parameter adjustment step length in the first round can be a preset parameter adjustment step length that is set in advance, where the adjustment step lengths corresponding to different parameters are different.

[0081] The step 3012 predicts the outlet moisture content corresponding to the n-i th round of the device based on the device running parameter in the n-i th round.

[0082] In some embodiments, the outlet moisture content corresponding to the n-i th round of the device can be predicted based on a preset prediction model or actual experience operation.

[0083] The step 3013 adjusts the parameter adjustment step length in the n-1 th round based on a difference between the outlet moisture content corresponding to the n-i th round and the standard outlet moisture content, to obtain a parameter adjustment step length in the n th round.

[0084] In some embodiments, the parameter adjustment step of the n-i th round can be adjusted according to the difference between the corresponding outlet moisture content of the n-i th round and the standard outlet moisture content, to obtain the parameter adjustment step of the n th round; here, the adjustment can be adaptively increasing or reducing the parameter adjustment step of the n-i th round based on the size of the difference between the corresponding outlet moisture content of the n-i th round and the standard outlet moisture content, to obtain the parameter adjustment step of the n th round.

[0085] For example, when n is 3 and i is 1 or 2, the parameter adjustment step of the 2 nd round can be adjusted according to the difference between the corresponding outlet moisture content of the 1 st round and the standard outlet moisture content, and the difference between the corresponding outlet moisture content of the 2 nd round and the standard outlet moisture content, to obtain the parameter adjustment step of the 3 rd round.

[0086] Step 3014, adjusting the device operation parameter of the n-1 th round based on the adjustment parameter step of the n th round, to obtain the device operation parameter of the n th round.

[0087] In some embodiments, the device operation parameter of the n-1 th round can be adjusted based on the adjustment parameter step of the n th round, to obtain the device operation parameter of the n th round; here, the adjustment can mean superimposing or reducing the device operation parameter of the n-1 th round using the adjustment parameter step of the n th round.

[0088] Step 302, predicting the corresponding outlet moisture content of the device in the n th round based on the device operation parameter of the n th round.

[0089] In some embodiments, the corresponding outlet moisture content of the device in the n th round can be predicted based on a preset prediction model or actual experience operation.

[0090] Step 303, obtaining the target operation parameter based on the corresponding outlet moisture content of the n th round, the preset outlet moisture content index, the device operation parameter of the n th round, and a preset iteration number.

[0091] In some embodiments, the target operation parameter can be obtained by analyzing the corresponding outlet moisture content of the n th round, the preset outlet moisture content index, the device operation parameter of the n th round, and a preset iteration number.

[0092] It should be noted that steps 301 to 303 can refer to the gradient descent method in the specific iteration process, so that the obtained device operation parameter of the next round is more close to the standard outlet moisture content, that is, the outlet moisture content of the device matched with the obtained device operation parameter of the next round not only meets the preset outlet moisture content index, but also has a smaller difference with the standard outlet moisture content.

[0093] In some possible implementations, the target operation parameter can be determined based on whether the outlet moisture content corresponding to the nth iteration meets the preset outlet moisture content index and a ratio between the iteration number n and the preset iteration number.

[0094] First case:

[0095] In a case where the outlet moisture content corresponding to the nth iteration meets the preset outlet moisture content index, the difference between the outlet moisture content and the standard outlet moisture content is less than the preset difference, and n is less than or equal to the preset iteration number, the iteration process is stopped, and the device operation parameter of the nth iteration is determined as the target operation parameter.

[0096] In some embodiments, in a case where the outlet moisture content corresponding to the nth iteration meets the preset outlet moisture content index and the difference between the outlet moisture content and the standard outlet moisture content is less than the preset difference under the limitation of the preset iteration number, the iteration is directly stopped, and the device operation parameter of the nth iteration is determined as the target operation parameter.

[0097] Second case:

[0098] First step, in a case where the outlet moisture content corresponding to the nth iteration meets the preset outlet moisture content, the difference between the outlet moisture content and the standard outlet moisture content is greater than or equal to the preset difference, and n is greater than the preset iteration number, the iteration process is stopped, and the device operation parameter of the nth-i iteration and the outlet moisture content corresponding to the nth-i iteration are obtained.

[0099] Wherein, i is a positive integer less than n.

[0100] In some embodiments, in a case where the current iteration number n is greater than the preset iteration number, the outlet moisture content corresponding to the nth iteration meets the preset outlet moisture content, and the difference between the outlet moisture content and the standard outlet moisture content is greater than or equal to the preset difference, the iteration process is stopped, and the device operation parameter of the nth-i iteration and the outlet moisture content corresponding to the nth-i iteration are obtained.

[0101] Second step, in the device operation parameter of the nth-i iteration, the device operation parameter corresponding to the outlet moisture content with the smallest difference from the standard outlet moisture content is determined as the target operation parameter.

[0102] In some embodiments, in the device operating parameters of the n-i th round, the device operating parameter corresponding to the outlet moisture content with the minimum difference from the standard outlet moisture content is determined as the target operating parameter, that is, in the device operating parameters of the n-i th round, the optimal solution is screened.

[0103] The above parameter adjustment method is described below in combination with a specific embodiment, however, it is worth noting that the specific embodiment is only for better illustrating the embodiments of the present application and does not constitute an improper limitation on the embodiments of the present application.

[0104] When the moisture content of the cut tobacco at the outlet of the drying machine does not meet the expected quality control requirements, the subsequent multiple production process parameters of the cut tobacco production line need to be adjusted at the same time, so as to make up for the product quality of the cut tobacco to meet certain control requirements. However, in the related art, because the process parameters in the drying link are interrelated and influence each other, it is difficult to adjust one or more process parameters to make the moisture content of the final cut tobacco meet the current process quality requirements.

[0105] To solve the above problems, the present application provides an online adaptive control parameter method based on operations research optimization and gradient descent; the genetic algorithm of operations research can be used to quickly search for effective combined parameters, i.e. the to-be-adjusted operating parameters (here, the to-be-adjusted operating parameters are not necessarily the optimal parameter combination in the running production), based on the current operating parameter state of the device and within its corresponding production parameter control range; and the outlet moisture content of the device under the to-be-adjusted operating parameters meets the production process quality requirements; then, according to the to-be-adjusted operating parameters and the outlet moisture content (predicted) matched with the to-be-adjusted operating parameters, the gradient descent method is used for iterative optimization, and when the iteration number and time reach the set threshold, the optimization is stopped, and the optimal outlet moisture content and the corresponding target operating parameter are screened out; finally, the optimal outlet moisture content and the corresponding target operating parameter are input to the control system of the device through the related control system, and the operating parameters of the device are automatically adjusted online and in real time.

[0106] The main steps include the following, which can be referred to as the steps shown in Figure 4 Figure 4 ​A flowchart of a process for determining the optimal outlet moisture content of a cut tobacco dryer and the equipment operating parameters matched therewith by the parameter adjustment method provided by the present application is shown in FIG. 1. First, the current operating parameter values of the cut tobacco dryer (such as the frequency of the hot air blower, the opening of the moisture exhaust damper, etc.), the current outlet moisture content value, and the quality setting value are obtained 401. Here, the quality setting value can be an outlet moisture content standard value constructed according to the current business of the cut tobacco dryer, such as 12% ± 0.5%. Whether the current outlet moisture content value of the cut tobacco dryer corresponds to the quality setting value is determined according to the current operating parameter values of the cut tobacco dryer in 401, i.e., 402, to determine whether the quality requirement is met. If so, the current operating parameter values in 401 are directly determined as a set of feasible solutions. If not, the current operating parameter values are adjusted according to the conventional genetic algorithm, so as to determine a set of feasible solutions corresponding to the outlet moisture content that meets the quality setting value, i.e., 403. Then, the feasible solutions are determined, which correspond to the operating parameters to be adjusted in the present application. Next, the gradient descent method in 404 is used to iteratively solve the optimal operating parameter combination by adaptively adjusting the step size of each iteration. The iteration number and iteration time are limited in 405, i.e., the optimal solution that meets the quality setting value is determined in the iteration process, and the iteration number and iteration time are also determined. Then, the optimal outlet moisture content value and the corresponding operating parameter combination (i.e., the target operating parameter) are determined by iteration, i.e., 406. It should be noted that when the iteration number and iteration time are equal to the preset threshold value, and the optimal operating parameter combination is not found, the iteration is stopped, and the optimal outlet moisture content of the cut tobacco dryer and the corresponding operating parameter combination are selected from the multiple parameter combinations obtained in the iteration process. Finally, the optimal outlet moisture content value and the corresponding operating parameter combination are output to the control system, and the operating parameters of the cut tobacco dryer are automatically adjusted in real time online, i.e., 407.

[0107] The parameter adjustment method provided by the present application can automatically adjust the operating parameters of the cut tobacco dryer in real time online, which can achieve fast speed response. The production real-time data is collected once every 10 seconds, and the automatic control can be completed in 1.7 seconds by using the present solution. The operating parameters can be adjusted in real time according to the current state, so as to meet different production process requirements. The accuracy of the adjusted parameters is higher, and the risk caused by human subjective experience can be avoided. Moreover, the automatic control can reduce human operation and the risk caused by human subjective experience.

[0108] The parameter adjustment method provided in the scheme combines the overall optimization of the running parameter combination and the gradient descent method, and is applied in the production link of the cut tobacco drying process of the cut tobacco dryer. First, the first set of feasible solutions of the optimization target is found out through overall optimization. Since this set of solutions is not necessarily the global optimal solution, the set of solutions is used as the initial seed for solving the optimal solution of the target by the gradient descent method, and the gradient is iteratively calculated in reverse based on the parameters in the set, and the optimal solution is obtained by repeatedly iterating and solving with adaptive adjustment of the step size.

[0109] Based on the foregoing embodiments, the embodiments of the present application also provide a parameter adjustment device 500, which can be applied to Figures 1 to 3 The parameter adjustment method provided in the corresponding embodiments comprises the steps of referring to Figure 5 The parameter adjustment device 500 comprises:

[0110] An acquisition module 501 is configured to acquire a to-be-adjusted running parameter corresponding to a preset outlet moisture content index of which the outlet moisture content of a device meets; wherein the to-be-adjusted running parameter is an internal running combination parameter of the device.

[0111] An adjustment module 502 is configured to iteratively adjust the to-be-adjusted running parameter based on a parameter adjustment step length associated with an iteration process until a preset iteration end condition is met, so as to obtain a target running parameter of which the outlet moisture content of the device meets the preset outlet moisture content index and the difference between the outlet moisture content and a standard outlet moisture content in the preset outlet moisture content index is less than a preset difference.

[0112] An operation module 503 is configured to operate the target running parameter on the device.

[0113] In some embodiments, the acquisition module 501 is further configured to acquire a current outlet moisture content of the device at a current time and a corresponding current device running parameter; and determine the to-be-adjusted running parameter based on the current outlet moisture content, the preset outlet moisture content index and the current device running parameter.

[0114] In some embodiments, the acquisition module 501 is further configured to determine the current device running parameter as the to-be-adjusted running parameter in the case that the current outlet moisture content meets the preset outlet moisture content index; and in the case that the current outlet moisture content does not meet the preset outlet moisture content index, adjust and screen the current device running parameter based on an adjustable range corresponding to the current device running parameter, to obtain the to-be-adjusted running parameter.

[0115] In some embodiments, the obtaining module 501 is further configured to, in a case where the current outlet moisture content does not meet the preset outlet moisture content index, adjust the current device operating parameter based on an adjustable range corresponding to the current device operating parameter to obtain a set of to-be-screened operating parameters; predict an outlet moisture content corresponding to each to-be-screened operating parameter in the set of to-be-screened operating parameters; and determine, in the set of to-be-screened operating parameters, a to-be-screened operating parameter corresponding to an outlet moisture content meeting the preset outlet moisture content index as the to-be-adjusted operating parameter.

[0116] In some embodiments, the adjusting module 502 is further configured to obtain a device operating parameter of the n th round obtained by iteratively adjusting the to-be-adjusted operating parameter based on a parameter adjustment step length associated with an iteration process in a preset time period; wherein n is an integer greater than 1; predict an outlet moisture content of the device corresponding to the n th round based on the device operating parameter of the n th round; and obtain the target operating parameter based on the outlet moisture content corresponding to the n th round, the preset outlet moisture content index, the device operating parameter of the n th round, and a preset iteration number.

[0117] In some embodiments, the adjusting module 502 is further configured to obtain a device operating parameter of the n th-i round in the preset time period; wherein i is a positive integer less than n; the device operating parameter of the first round is a parameter obtained by adjusting the to-be-adjusted operating parameter based on a parameter adjustment step length of the first round; the parameter adjustment step length of the first round is a preset parameter adjustment step length; predict an outlet moisture content of the device corresponding to the n th-i round based on the device operating parameter of the n th-i round; adjust a parameter adjustment step length of the n th-1 round based on a difference between the outlet moisture content corresponding to the n th-i round and the standard outlet moisture content to obtain a parameter adjustment step length of the n th round; and adjust the device operating parameter of the n th-1 round based on the parameter adjustment step length of the n th round to obtain the device operating parameter of the n th round.

[0118] In some embodiments, the adjusting module 502 is further configured to, in a case where the outlet moisture content corresponding to the n th round meets the preset outlet moisture content index, a difference between the outlet moisture content corresponding to the n th round and the standard outlet moisture content is less than the preset difference, and n is less than or equal to the preset iteration number, stop the iteration process, and determine the device operating parameter of the n th round as the target operating parameter.

[0119] In some embodiments, the adjustment module 502 is further configured to, in a case where the corresponding outlet moisture content of the nth round meets the preset outlet moisture content, a difference between the corresponding outlet moisture content of the nth round and the standard outlet moisture content is greater than or equal to the preset difference, and n is greater than the preset iteration number, stop the iteration process, and obtain the device operating parameter of the n-i th round and the corresponding outlet moisture content of the n-i th round, where i is a positive integer less than n; and the device operating parameter corresponding to the outlet moisture content having the smallest difference from the standard outlet moisture content in the device operating parameter of the n-i th round is determined as the target operating parameter.

[0120] It should be noted that the specific implementation process of the steps performed by each module in this embodiment can refer to the implementation process of the parameter adjustment method provided by the corresponding embodiments, which will not be described here in detail. Figures 1 to 3 The specific implementation process of the steps performed by each module in this embodiment can refer to the implementation process of the parameter adjustment method provided by the corresponding embodiments, which will not be described here in detail.

[0121] Based on the foregoing embodiments, the embodiments of the present application further provide an electronic device 6, which can be applied to the parameter adjustment method provided by the corresponding embodiments. Figures 1 to 3 The parameter adjustment method provided by the corresponding embodiments can refer to the parameter adjustment method provided by the corresponding embodiments, which will not be described here in detail. Figure 6 As shown in the, the electronic device 6 can include a processor 61, a memory 62, and a communication bus 63, where:

[0122] The communication bus 63 is configured to realize the communication connection between the processor 61 and the memory 62.

[0123] The processor 61 is configured to execute the program of the processing method stored in the memory 62, so as to realize the parameter adjustment method provided by the corresponding embodiments. Figures 1 to 3 The parameter adjustment method provided by the corresponding embodiments.

[0124] Based on the foregoing embodiments, the embodiments of the present application provide a computer readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the parameter adjustment method provided by the corresponding embodiments. Figures 1 to 3 The parameter adjustment method provided by the corresponding embodiments.

[0125] It should be noted that the computer readable storage medium above can be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Ferromagnetic Random Access Memory (FRAM), a Flash Memory, a magnetic surface memory, an optical disc, or a Compact Disc-Read Only Memory (CD-ROM) memory, etc. It can also be various electronic devices including one or any combination of the above memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc.

[0126] It should be noted that in this paper, the term "comprise", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or device. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0127] The above sequence numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0128] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment method can be realized by software plus the necessary general hardware platform, and of course it can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disc, optical disc) and includes a plurality of instructions for making a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the methods described in various embodiments of the present application.

[0129] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks. Figure 1 one or more flow or blocks.

[0130] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks. Figure 1 one or more flow or blocks.

[0131] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks. Figure 1 one or more flow or blocks.

[0132] The above merely provides the preferred embodiment of the present application, and is not intended to limit the patent scope of the present application, and any equivalent structure or equivalent flow transformation according to the content of the present application specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A parameter adjustment method, the method comprising: obtaining a to-be-adjusted operation parameter corresponding to a preset outlet moisture content index to which an outlet moisture content of a device conforms; wherein the to-be-adjusted operation parameter is an internal operation combination parameter of the device; the to-be-adjusted operation parameter comprises at least one of hot air temperature, moisture removal air volume, and a cylinder wall temperature of the device; iteratively adjusting the to-be-adjusted operation parameter based on a parameter adjustment step length associated with an iteration process until a preset iteration end condition is met, to obtain a target operation parameter corresponding to a difference between the outlet moisture content of the device and a standard outlet moisture content in the preset outlet moisture content index being less than a preset difference value; running the target operation parameter on the device. 2.The method of claim 1, wherein the obtaining a to-be-adjusted operation parameter corresponding to a preset outlet moisture content index to which an outlet moisture content of a device conforms comprises: obtaining a current outlet moisture content of the device at a current time and a corresponding current device operation parameter; determining the to-be-adjusted operation parameter based on the current outlet moisture content, the preset outlet moisture content index, and the current device operation parameter. 3.The method of claim 2, wherein the determining the to-be-adjusted operation parameter based on the current outlet moisture content, the preset outlet moisture content index, and the current device operation parameter comprises: in a case where the current outlet moisture content conforms to the preset outlet moisture content index, determining the current device operation parameter as the to-be-adjusted operation parameter; in a case where the current outlet moisture content does not conform to the preset outlet moisture content index, adjusting and screening the current device operation parameter based on an adjustable range corresponding to the current device operation parameter to obtain the to-be-adjusted operation parameter. 4.The method of claim 3, wherein the adjusting and screening the current device operation parameter based on the adjustable range corresponding to the current device operation parameter to obtain the to-be-adjusted operation parameter in the case where the current outlet moisture content does not conform to the preset outlet moisture content index comprises: in the case where the current outlet moisture content does not conform to the preset outlet moisture content index, adjusting the current device operation parameter based on the adjustable range corresponding to the current device operation parameter to obtain a set of to-be-screened operation parameters; predicting an outlet moisture content corresponding to each to-be-screened operation parameter in the set of to-be-screened operation parameters; in the set of to-be-screened operation parameters, determining a to-be-screened operation parameter corresponding to an outlet moisture content conforming to the preset outlet moisture content index as the to-be-adjusted operation parameter. 5.The method of any one of claims 1 to 4, wherein the iteratively adjusting the to-be-adjusted operation parameter based on a parameter adjustment step length associated with an iteration process until a preset iteration end condition is met, to obtain a target operation parameter corresponding to a difference between the outlet moisture content of the device and a standard outlet moisture content in the preset outlet moisture content index being less than a preset difference value comprises: obtain the device operation parameter of the n th round by iteratively adjusting the to-be-adjusted operation parameter based on the parameter adjustment step length associated with the iteration process within a preset time period, wherein n is an integer greater than 1; predict the outlet moisture content of the device corresponding to the n th round based on the device operation parameter of the n th round; obtain the target operation parameter based on the outlet moisture content corresponding to the n th round, the preset outlet moisture content index, the device operation parameter of the n th round, and a preset iteration number.

6. The method of claim 5, wherein the obtaining the device operation parameter of the n th round by iteratively adjusting the to-be-adjusted operation parameter based on the parameter adjustment step length associated with the iteration process within a preset time period comprises: obtaining the device operation parameter of the n-i th round within the preset time period, wherein i is a positive integer less than n, and the device operation parameter of the first round is obtained by adjusting the to-be-adjusted operation parameter based on the parameter adjustment step length of the first round, and the parameter adjustment step length of the first round is a preset parameter adjustment step length; predicting the outlet moisture content of the device corresponding to the n-i th round based on the device operation parameter of the n-i th round; adjusting the parameter adjustment step length of the n-1 th round based on the difference between the outlet moisture content corresponding to the n-i th round and the standard outlet moisture content, to obtain the parameter adjustment step length of the n th round; adjusting the device operation parameter of the n-1 th round based on the parameter adjustment step length of the n th round, to obtain the device operation parameter of the n th round.

7. The method of claim 5, wherein the obtaining the target operation parameter based on the outlet moisture content corresponding to the n th round, the preset outlet moisture content index, the device operation parameter of the n th round, and a preset iteration number comprises: stopping the iteration process and determining the device operation parameter of the n th round as the target operation parameter, when the outlet moisture content corresponding to the n th round meets the preset outlet moisture content index, the difference between the outlet moisture content corresponding to the n th round and the standard outlet moisture content is less than the preset difference, and n is less than or equal to the preset iteration number.

8. The method of claim 6, wherein the obtaining the target operation parameter based on the outlet moisture content corresponding to the n th round, the preset outlet moisture content index, the device operation parameter of the n th round, and a preset iteration number comprises: stopping the iteration process and obtaining the device operation parameter of the n-i th round and the outlet moisture content corresponding to the n-i th round, when the outlet moisture content corresponding to the n th round meets the preset outlet moisture content, the difference between the outlet moisture content corresponding to the n th round and the standard outlet moisture content is greater than or equal to the preset difference, and n is greater than the preset iteration number, wherein i is a positive integer less than n; determining the device operation parameter corresponding to the outlet moisture content having the smallest difference with the standard outlet moisture content in the device operation parameter of the n-i th round as the target operation parameter.

9. A parameter adjustment device, the device comprising: An acquisition module is configured to acquire a to-be-adjusted operation parameter corresponding to a preset outlet moisture content index when an outlet moisture content of a device meets the preset outlet moisture content index; the to-be-adjusted operation parameter is an internal operation combination parameter of the device; the to-be-adjusted operation parameter includes at least one of the following: hot air temperature, moisture removal air volume, and cylinder wall temperature of the device; An adjustment module is configured to iteratively adjust the to-be-adjusted operation parameter based on a parameter adjustment step length associated with an iteration process until a preset iteration end condition is met, so as to obtain a target operation parameter corresponding to a preset outlet moisture content index, and a difference between the outlet moisture content of the device and a standard outlet moisture content in the preset outlet moisture content index is less than a preset difference. An operation module is configured to run the target operation parameter on the device.

10. An electronic device comprising: A processor, a memory, and a communication bus; The communication bus is configured to realize communication connection between the processor and the memory; The processor is configured to execute a program in the memory to realize the parameter adjustment method according to any one of claims 1 to 8.

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