A method and device for controlling the moisture content of a tail based on a GS optimal curve

Abstract

The application provides a method and device for controlling moisture of a material head based on a GS optimal curve, comprising: obtaining parameter data collected by a collection device at each sampling time for a drying process; for each sampling time, obtaining a predicted moisture at a predetermined time corresponding to the sampling time based on parameter data corresponding to the sampling time; obtaining an ideal moisture at the predetermined time corresponding to the sampling time based on an ideal moisture curve pre-established to represent a relationship between each predetermined time and an ideal moisture; for each predetermined time, determining a moisture deviation value at the predetermined time; and determining a target temperature of a heating sheet in a target drying machine for heating a material based on the moisture deviation value at the predetermined time to control the moisture of the material passing through the discharge port. Through the control method and device, the moisture of the material head can be made to meet the standard more quickly, thereby reducing waste generated in the drying process.

Description

TECHNICAL FIELD

[0001] The present application relates to the tobacco manufacturing technical field, and particularly to a tobacco head moisture control method and device based on GS optimal curve. BACKGROUND

[0002] In the tobacco manufacturing industry, the drying process is a relatively important process in the tobacco manufacturing process. The drying process is actually a process of "dehydration" of wet materials (for example, tobacco leaf and tobacco stem, etc.), through which the moisture content of the wet materials is reduced to the process requirement. The drying process generally uses a drying machine to heat the wet materials. The drying machine includes an inlet, a roller, a heating sheet on the roller, and an outlet. The working principle of the drying machine is that the heating sheet on the roller is preheated, the wet tobacco is fed into the inlet of the drying machine and reaches the roller, and the tobacco is rolled and advanced in the roller until it falls from the outlet. When the tobacco is rolled and advanced in the roller, the temperature of the heating sheet on the roller is controlled to make the moisture in the wet tobacco evaporate continuously, so that the moisture in the tobacco falling from the outlet meets the process requirement.

[0003] In each drying process, the heating sheet needs to be preheated first, so before the feeding of the inlet, the temperature of the sheet is high, and the tobacco head part (the first part of the material entering the roller after the preheating of the heating sheet) first undergoes the "dehydration" process. The moisture in the front part of the tobacco head is rapidly evaporated due to the high temperature, which may cause the "over-dehydration" of the front part of the tobacco head falling from the outlet. As the tobacco head part continuously enters the roller, the moisture in the wet tobacco head contacts the sheet, which reduces the actual temperature of the sheet, and thus the moisture in the middle part of the tobacco head slowly increases until it reaches the standard moisture. Therefore, in the existing drying process, the moisture in the tobacco head part reaches the standard slowly, which causes excessive waste in the tobacco head part during the drying process. SUMMARY

[0004] Therefore, the purpose of the present application is to provide a tobacco head moisture control method and device based on GS optimal curve, which can make the moisture in the tobacco head part reach the standard faster and reduce the waste in the tobacco head part during the drying process.

[0005] In a first aspect, the present application provides a tobacco head moisture control method based on GS optimal curve, which comprises:

[0006] For each drying process, after the preheating state of the target drying machine ends, the parameter data collected by at least one collection device at each sampling time for the drying process is acquired.

[0007] For each sampling time, based on the parameter data corresponding to that sampling time, the moisture content of the material passing through the feed inlet at that sampling time and passing through the discharge outlet of the target drying machine is predicted to obtain the predicted moisture content at a predetermined time corresponding to each sampling time; wherein, the predetermined time corresponding to each sampling time is the time after a predetermined delay from that sampling time.

[0008] Based on the pre-established ideal moisture curve characterizing the relationship between each predetermined time and the ideal moisture, the ideal moisture at the predetermined time corresponding to each sampling time is obtained;

[0009] For each predetermined time point, the moisture deviation value at that predetermined time point is determined based on the predicted moisture and expected moisture at that predetermined time point;

[0010] Based on the moisture deviation value at the predetermined time, the target temperature of the heating plate in the target wire dryer used for heating the material at the predetermined time is determined in order to control the moisture content of the material passing through the discharge port.

[0011] Optionally, the parameter data collected for the drying process at each sampling time shall include at least: the moisture content of the material passing through the feed inlet at the sampling time, the humidity data inside the target drying machine at the corresponding sampling time, the steam volume data, and the temperature of the heating plate;

[0012] For each sampling time, based on the parameter data corresponding to that sampling time, the moisture content of the material passing through the feed inlet at that sampling time and then through the outlet of the target drying machine is predicted to obtain the predicted moisture content at a predetermined time corresponding to each sampling time, including:

[0013] For each sampling time, the moisture data of the material passing through the feed inlet, the humidity data inside the target drying machine, the steam volume data, and the temperature of the heating plate corresponding to the sampling time are input into a pre-established simulation model for predicting moisture, so as to obtain the predicted moisture at the predetermined time corresponding to the sampling time output by the simulation model.

[0014] Optionally, determining the target temperature of the heating plate in the target drying machine for heating materials at the predetermined time, based on the moisture deviation value at the predetermined time, includes:

[0015] Based on the moisture deviation value at the predetermined time, the feedback temperature of the heating plate in the target wire drying machine at the predetermined time is determined by feedback control.

[0016] When the predetermined time is not the initial predetermined time, determine the difference temperature between the feedback temperature at the predetermined time and the feedback temperature at the previous predetermined time.

[0017] Based on the temperature difference, the target temperature of the heating plate in the target wire dryer used to heat the material at the predetermined time is determined.

[0018] Optionally, determining the target temperature of the heating plate in the target wire dryer used for heating materials at the predetermined time, based on the temperature difference, includes:

[0019] When the difference temperature is negative, the feedback temperature at the predetermined time is determined as the target temperature of the heating plate in the target wire dryer used to heat the material;

[0020] When the difference temperature is not negative, a difference probability temperature is determined based on the difference temperature, and the difference probability temperature is determined as the target temperature of the heating plate in the target wire dryer used for heating materials.

[0021] Optionally, the control method further includes:

[0022] When the moisture content of the material passing through the outlet reaches the threshold range corresponding to the target moisture content, the moment when the moisture content of the material passing through the outlet reaches the threshold range corresponding to the target moisture content is determined as the marking moment.

[0023] By optimizing the target gradient estimation method, the temperature of the heating plate in the target wire dryer used to heat the material is controlled to the target temperature corresponding to the mark time at each time point after the mark time.

[0024] Secondly, embodiments of this application provide a feed head moisture control device based on the GS optimal curve, the control device comprising:

[0025] The parameter acquisition module is used to acquire parameter data collected by at least one acquisition device at each sampling time for each wire drying process after the target wire drying machine has finished preheating.

[0026] The moisture prediction module, for each sampling time, predicts the moisture content of the material passing through the feed inlet at that sampling time as it passes through the discharge outlet of the target drying machine, based on the parameter data corresponding to that sampling time, so as to obtain the predicted moisture content at a predetermined time corresponding to each sampling time; wherein, the predetermined time corresponding to each sampling time is the time after a predetermined delay from that sampling time.

[0027] The moisture acquisition module is used to acquire the ideal moisture at each sampling time based on the ideal moisture curve that represents the relationship between each predetermined time and the ideal moisture at each predetermined time.

[0028] The deviation determination module is used to determine the moisture deviation value at each predetermined time based on the predicted moisture and expected moisture at that predetermined time.

[0029] The control module is used to determine the target temperature of the heating plate in the target drying machine for heating materials at the predetermined time based on the moisture deviation value at the predetermined time, so as to control the moisture content of the material passing through the discharge port.

[0030] Optionally, the parameter data collected for the drying process at each sampling time shall include at least: the moisture content of the material passing through the feed inlet at the sampling time, the humidity data inside the target drying machine at the corresponding sampling time, the steam volume data, and the temperature of the heating plate;

[0031] The moisture prediction module is specifically used for:

[0032] For each sampling time, the moisture data of the material passing through the feed inlet, the humidity data inside the target drying machine, the steam volume data, and the temperature of the heating plate corresponding to the sampling time are input into a pre-established simulation model for predicting moisture, so as to obtain the predicted moisture at the predetermined time corresponding to the sampling time output by the simulation model.

[0033] Optionally, the control module is specifically used for:

[0034] Based on the moisture deviation value at the predetermined time, the feedback temperature of the heating plate in the target wire drying machine at the predetermined time is determined by feedback control.

[0035] When the predetermined time is not the initial predetermined time, determine the difference temperature between the feedback temperature at the predetermined time and the feedback temperature at the previous predetermined time.

[0036] Based on the temperature difference, the target temperature of the heating plate in the target wire dryer used to heat the material at the predetermined time is determined.

[0037] Thirdly, embodiments of this application provide an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the feed head moisture control method based on the GS optimal curve described above are performed.

[0038] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the above-described method for controlling feed moisture based on the optimal GS curve.

[0039] The purpose of this application is to provide a method and device for controlling the moisture content of the feedstock based on the optimal GS curve. By pre-constructing an ideal moisture curve, the predicted moisture content of the material at each sampling time is compared with the ideal moisture content on the ideal moisture curve to determine the moisture deviation value. Then, feedback control is performed based on the moisture deviation value. In this way, the temperature of the heating plate at each sampling time can be controlled in real time according to the preset ideal moisture curve, so that the control is more timely and accurate, thereby making the moisture content of the feedstock reach the standard faster and reducing the waste generated in the feedstock during the wire drying process.

[0040] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 A flowchart illustrating a feed head moisture control method based on the GS optimal curve provided by an exemplary embodiment of this application is shown.

[0043] Figure 2 A schematic diagram of an ideal moisture curve and a predicted moisture curve provided by an exemplary embodiment of this application is shown;

[0044] Figure 3 This illustration shows a schematic diagram of a feed head moisture control device based on the GS optimal curve provided in an exemplary embodiment of this application;

[0045] Figure 4 A schematic diagram of the structure of an electronic device provided by an exemplary embodiment of this application is shown. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without inventive effort falls within the scope of protection of this application.

[0047] In each wire drying process, the heating plate needs to be preheated. Therefore, the plate temperature is high before feeding into the inlet, and the material head section (the first section of material entering the drum after the heating plate is preheated) undergoes a "dehydration" process. The moisture in the front section of the material head evaporates rapidly due to the high temperature, potentially causing "over-dehydration" in the front section as it falls from the outlet. As the material head section continues to enter the drum, the moisture in the wet material head comes into contact with the plate, causing the actual temperature of the plate to decrease. This allows the moisture content in the middle section of the material head to slowly rise until it reaches the standard moisture content. Therefore, in the current wire drying process, the moisture content in the material head section reaches the standard slowly, resulting in excessive waste material generated in the material head section during the drying process.

[0048] Based on this, this application provides a method and device for controlling the moisture content of the feed head based on the GS optimal curve, which can make the moisture content of the feed head reach the standard more quickly, thereby reducing the waste generated in the feed head during the drying process.

[0049] Please see Figure 1 , Figure 1 A flowchart of a feed head moisture control method based on the GS optimal curve provided in an embodiment of this application is shown.

[0050] like Figure 1 As shown in the figure, the feed moisture control method based on the GS optimal curve provided in this application includes the following steps:

[0051] S101. For each wire drying process, after the target wire drying machine has finished preheating, acquire parameter data collected by at least one acquisition device for the wire drying process at each sampling time.

[0052] Specifically, the drying process can include multiple drying steps. In each drying step, the target drying machine needs to be preheated first. During the preheating process, the material to be dehydrated can be placed in front of the feed inlet of the target drying machine. After the preheating process is completed, the machine is immediately switched to the start-up state. In the start-up state, the target drying machine begins to transport the material at the feed inlet into the machine for dehydration.

[0053] Here, each sampling time is predetermined. For example, the first sampling time could be the moment when material is detected entering the feed inlet of the target wire dryer. The sampling interval between every two sampling times is predetermined. To ensure more precise and timely subsequent control, the sampling interval between every two sampling times can be set to be as small as possible.

[0054] Here, the parameter data collected at each sampling time for the wire drying process includes at least: the moisture content of the material passing through the feed inlet at that sampling time, the humidity data inside the target wire drying machine at that sampling time, the steam volume data, and the temperature of the heating plate. Correspondingly, at least one data acquisition device can be a device for acquiring each type of parameter data. For example, the data acquisition device may include: a moisture detector for detecting moisture, a humidity sensor for acquiring humidity, etc.

[0055] S102. For each sampling time, based on the parameter data corresponding to that sampling time, predict the moisture content of the material passing through the feed inlet at that sampling time as it passes through the discharge outlet of the target drying machine, so as to obtain the predicted moisture content at a predetermined time corresponding to each sampling time; wherein, the predetermined time corresponding to each sampling time is the time after a predetermined delay from that sampling time.

[0056] It is understandable that, since the material enters the target drying machine through the feed inlet and tumbles and moves forward within the drums until it falls into the discharge outlet of the rear chamber, the material passing through the feed inlet at each sampling moment must be delayed for a predetermined time before passing through the discharge outlet. Here, the predetermined delay time is determined based on the parameter information of the target drying machine, such as the length of the target drying machine and the tumbling speed of the drums.

[0057] Here, since each sampling time is fixed and the predetermined delay time is also fixed, a predetermined time corresponding to each sampling time can be determined based on the sampling time and the predetermined delay time.

[0058] As an example, the parameter data collected for the wire drying process at each sampling time includes: the moisture content of the material passing through the feed inlet at that sampling time, the humidity data inside the target wire drying machine at that sampling time, the steam volume data, and the temperature of the heating plate. Regarding step S2, in specific implementation, it may include the following steps:

[0059] For each sampling time, the moisture data of the material passing through the feed inlet, the humidity data inside the target drying machine, the steam volume data, and the temperature of the heating plate corresponding to the sampling time are input into a pre-established simulation model for predicting moisture, so as to obtain the predicted moisture at the predetermined time corresponding to the sampling time output by the simulation model.

[0060] Here, the simulation model used to predict moisture is constructed based on the historical moisture data of the material passing through the feed inlet, the historical humidity data inside the target wire dryer, the historical steam volume data, and the historical temperature of the heating plate corresponding to each of the multiple historical sampling times.

[0061] In addition, after obtaining the predicted moisture at the predetermined time corresponding to each sampling time, a predicted moisture curve representing the relationship between each predetermined time and the predicted moisture can be generated based on the predicted moisture at the predetermined time corresponding to each sampling time, and the predicted moisture curve can be visualized on the host computer front-end page.

[0062] S103. Based on the pre-established ideal moisture curve characterizing the relationship between each predetermined time and ideal moisture, obtain the ideal moisture at the predetermined time corresponding to each sampling time.

[0063] Here, the ideal moisture curve is the GS optimal curve described in this application;

[0064] Please see Figure 2 , Figure 2 This diagram illustrates an ideal moisture curve and a predicted moisture curve provided by an exemplary embodiment of this application. The horizontal axis represents time t, and the vertical axis W represents the ideal moisture content of the material falling from the outlet of the target drying machine. Curve S1 represents the ideal moisture curve (GS optimal curve), and curve S2 represents the predicted moisture curve.

[0065] Here, the ideal moisture content at each predetermined time point in the ideal moisture curve is determined based on empirical values.

[0066] like Figure 2As shown, the ideal moisture curve S1 includes a first stage A1, a second stage A2, and a third stage A3. The first stage A1 is the stage where the moisture content at the outlet of the target filament dryer rises slowly, the second stage A2 is the stage where the moisture content at the outlet of the target filament dryer rises rapidly, and the third stage A3 is the stage where the moisture content at the outlet of the target filament dryer is maintained in a steady state.

[0067] Here, in the first stage A1, the moisture in the front section of the feed head will be rapidly evaporated due to the high temperature, which may cause the front section of the feed head falling from the outlet to experience "over-dehydration". As the feed head continues to enter the drum, the moisture in the wet feed head comes into contact with the thin plate, which will reduce the actual temperature of the thin plate. As a result, the moisture in the middle section of the feed head will slowly increase. After passing through the first stage A1, the moisture at the outlet of the target filament dryer will rapidly increase. When the moisture at the outlet of the target filament dryer reaches the standard moisture value during the rapid increase phase, the moisture at the outlet of the target filament dryer will enter the steady-state maintenance phase, which is a process of gradually decreasing from exceeding the standard moisture value at the outlet to approaching the standard moisture value at the outlet.

[0068] S104. For each predetermined time, based on the predicted moisture and expected moisture at that predetermined time, determine the moisture deviation value at that predetermined time;

[0069] As an example, in this step, the difference between the predicted moisture and the expected moisture at each predetermined time can be determined as the moisture deviation value at that predetermined time.

[0070] S105. Based on the moisture deviation value at the predetermined time, determine the target temperature of the heating plate in the target wire dryer used for heating the material at the predetermined time, so as to control the moisture content of the material passing through the discharge port.

[0071] As an example, this step may include the following steps S1051 to S1053:

[0072] S1051. Based on the moisture deviation value at the predetermined time, the feedback temperature of the heating plate in the target wire drying machine at the predetermined time is determined by feedback control.

[0073] Here, the feedback control method can be any existing PID feedback control method, which will not be elaborated here.

[0074] By using the above control method, the feedback temperature at each predetermined time can be determined. After determining the feedback temperature at each predetermined time, subsequent processing can be performed based on the feedback temperature.

[0075] Here, when the predetermined time is the initial predetermined time, the feedback temperature is determined as the target temperature of the heating plate at that predetermined time.

[0076] S1052. When the predetermined time is not the initial predetermined time, determine the difference temperature between the feedback temperature at the predetermined time and the feedback temperature at the previous predetermined time.

[0077] As an example, the temperature difference ΔT can be determined using the following formula 1:

[0078] ΔT=C(T′)-C(T) Formula 1

[0079] Where C(S) is the evaluation function, T′ is the feedback temperature at the predetermined time, and T is the feedback temperature at the previous predetermined time.

[0080] S1053. Based on the temperature difference, determine the target temperature of the heating plate in the target wire dryer used to heat the material at the predetermined time.

[0081] As an example, in step S1053, when the difference temperature is negative, in step S10531, the feedback temperature at the predetermined time is determined as the target temperature of the heating plate in the target wire dryer used for heating the material; when the difference temperature is not negative, in step S10532, based on the difference temperature, the difference probability temperature is determined, and the difference probability temperature is determined as the target temperature of the heating plate in the target wire dryer used for heating the material.

[0082] In step S10532, the difference probability temperature ET can be determined based on the difference temperature using the following formula 2:

[0083]

[0084] Where T0 is the target temperature at the initial predetermined time.

[0085] Using the above method, for each predetermined time after the initial predetermined time, the feedback temperature at that predetermined time can be readjusted, so that if the feedback temperature is inaccurate due to some uncontrollable reasons, the target temperature at that predetermined time can be controlled to a more accurate value.

[0086] By comparing the predicted moisture content of the material at each sampling moment with the ideal moisture content on the ideal moisture content curve, the moisture deviation value is determined. Then, feedback control is performed based on the moisture deviation value. In this way, the temperature of the heating plate at each sampling moment can be controlled in real time according to the preset ideal moisture content curve, so that the control is more timely and accurate, and the moisture content of the material head reaches the standard more quickly, thereby reducing the waste generated in the material head during the wire drying process.

[0087] Furthermore, when the moisture content of the material passing through the discharge port reaches the threshold range corresponding to the target moisture content, the moment when the moisture content of the material passing through the discharge port reaches the threshold range corresponding to the target moisture content is determined as the mark time. By optimizing the target gradient estimation method, the temperature of the heating plate in the target wire dryer used to heat the material is controlled to the target temperature corresponding to the mark time at each moment after the mark time.

[0088] Here, the threshold range corresponding to the target moisture content is set according to the actual situation. For example, the threshold range corresponding to the target moisture content can be the range of ±0.5% of the target moisture content value.

[0089] In this way, after the temperature of the heating plate quickly reaches the temperature corresponding to the target moisture content, steady-state control of the heating plate temperature can be achieved rapidly.

[0090] Please see Figure 3 , Figure 3 This illustration shows a schematic diagram of a feed head moisture control device based on the GS optimal curve provided in an exemplary embodiment of this application.

[0091] like Figure 3 As shown, the control device 300 includes:

[0092] The parameter acquisition module 310 is used to acquire parameter data collected by at least one acquisition device at each sampling time for each wire drying process after the target wire drying machine has finished preheating.

[0093] The moisture prediction module 320, for each sampling time, predicts the moisture content of the material passing through the feed inlet at that sampling time and passing through the discharge outlet of the target drying machine based on the parameter data corresponding to that sampling time, so as to obtain the predicted moisture content at a predetermined time corresponding to each sampling time; wherein, the predetermined time corresponding to each sampling time is the time after a predetermined delay of that sampling time.

[0094] The moisture acquisition module 330 is used to acquire the ideal moisture at each sampling time based on the ideal moisture curve that characterizes the relationship between each predetermined time and the ideal moisture at each predetermined time.

[0095] The deviation determination module 340 is used to determine the moisture deviation value at each predetermined time based on the predicted moisture and expected moisture at that predetermined time.

[0096] The control module 350 is used to determine the target temperature of the heating plate in the target drying machine for heating materials at the predetermined time based on the moisture deviation value at the predetermined time, so as to control the moisture content of the material passing through the discharge port.

[0097] In one possible implementation, the parameter data collected for the wire drying process at each sampling time includes at least: the moisture content of the material passing through the feed inlet at the sampling time, the humidity data inside the target wire drying machine corresponding to the sampling time, the steam volume data, and the temperature of the heating plate.

[0098] The moisture prediction module 320 is specifically used for:

[0099] For each sampling time, the moisture data of the material passing through the feed inlet, the humidity data inside the target drying machine, the steam volume data, and the temperature of the heating plate corresponding to the sampling time are input into a pre-established simulation model for predicting moisture, so as to obtain the predicted moisture at the predetermined time corresponding to the sampling time output by the simulation model.

[0100] In one possible implementation, the control module 350 is specifically used for:

[0101] Based on the moisture deviation value at the predetermined time, the feedback temperature of the heating plate in the target wire drying machine at the predetermined time is determined by feedback control.

[0102] When the predetermined time is not the initial predetermined time, determine the difference temperature between the feedback temperature at the predetermined time and the feedback temperature at the previous predetermined time.

[0103] Based on the temperature difference, the target temperature of the heating plate in the target wire dryer used to heat the material at the predetermined time is determined.

[0104] In one possible implementation, the control module 350 is specifically used for:

[0105] When the difference temperature is negative, the feedback temperature at the predetermined time is determined as the target temperature of the heating plate in the target wire dryer used to heat the material;

[0106] When the difference temperature is not negative, a difference probability temperature is determined based on the difference temperature, and the difference probability temperature is determined as the target temperature of the heating plate in the target wire dryer used for heating materials.

[0107] In one possible implementation, the control device 300 further includes a steady-state adjustment module 360 ​​(not shown in the figures), the steady-state adjustment module 360 ​​being specifically used for:

[0108] When the moisture content of the material passing through the outlet reaches the threshold range corresponding to the target moisture content, the moment when the moisture content of the material passing through the outlet reaches the threshold range corresponding to the target moisture content is determined as the marking moment.

[0109] By optimizing the target gradient estimation method, the temperature of the heating plate in the target wire dryer used to heat the material is controlled to the target temperature corresponding to the mark time at each time point after the mark time.

[0110] The purpose of this application is to provide a material head moisture control device based on the GS optimal curve. By pre-constructing an ideal moisture curve, the predicted moisture content of the material at each sampling time is compared with the ideal moisture content on the ideal moisture curve to determine the moisture deviation value. Then, feedback control is performed based on the moisture deviation value. In this way, the temperature of the heating plate at each sampling time can be controlled in real time according to the preset ideal moisture curve, so that the control is more timely and accurate, thereby making the moisture content of the material head reach the standard faster, and thus reducing the waste generated in the material head during the wire drying process.

[0111] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 400 includes a processor 410, a memory 420, and a bus 430.

[0112] The memory 420 stores machine-readable instructions that can be executed by the processor 410. When the electronic device 400 is running, the processor 410 and the memory 420 communicate via the bus 430. When the machine-readable instructions are executed by the processor 410, the steps of the feed head moisture control method based on the GS optimal curve in the above method embodiment can be performed. For specific implementation, please refer to the method embodiment, which will not be repeated here.

[0113] This application also provides a computer-readable storage medium storing a computer program. When the computer program is run by a processor, it can execute the steps of the feed moisture control method based on the GS optimal curve in the above method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0114] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0115] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0116] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0117] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0118] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0119] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for controlling feed moisture content based on the optimal GS curve, characterized in that, The control method includes: For each wire drying process, after the target wire drying machine has finished preheating, acquire parameter data collected by at least one acquisition device at each sampling time for that wire drying process; For each sampling time, based on the parameter data corresponding to that sampling time, the moisture content of the material passing through the feed inlet of the target drying machine at that sampling time and passing through the discharge outlet of the target drying machine is predicted to obtain the predicted moisture content at a predetermined time corresponding to each sampling time; wherein, the predetermined time corresponding to each sampling time is the time after a predetermined delay of that sampling time. Based on the pre-established ideal moisture curve characterizing the relationship between each predetermined time and the ideal moisture, the ideal moisture at the predetermined time corresponding to each sampling time is obtained; For each predetermined time point, the moisture deviation value at that predetermined time point is determined based on the predicted moisture and expected moisture at that predetermined time point; Based on the moisture deviation value at the predetermined time, the target temperature of the heating plate in the target drying machine used for heating the material at the predetermined time is determined in order to control the moisture content of the material passing through the discharge port. The parameter data collected for the wire drying process at each sampling time includes at least: the moisture content of the material passing through the feed inlet at that sampling time, the humidity data inside the target wire drying machine at that sampling time, the steam volume data, and the temperature of the heating plate. For each sampling time, based on the parameter data corresponding to that sampling time, the moisture content of the material passing through the feed inlet at that sampling time and then through the outlet of the target drying machine is predicted to obtain the predicted moisture content at a predetermined time corresponding to each sampling time, including: For each sampling time, the moisture data of the material passing through the feed inlet corresponding to that sampling time, the humidity data inside the target drying machine corresponding to that sampling time, the steam volume data, and the temperature of the heating plate are input into a pre-established simulation model for predicting moisture, so as to obtain the predicted moisture at the predetermined time corresponding to that sampling time output by the simulation model for that sampling time. Based on the moisture deviation value at the predetermined time, the target temperature of the heating plate in the target drying machine used for heating materials at the predetermined time is determined, including: Based on the moisture deviation value at the predetermined time, the feedback temperature of the heating plate in the target wire drying machine at the predetermined time is determined by feedback control. When the predetermined time is not the initial predetermined time, determine the difference temperature between the feedback temperature at the predetermined time and the feedback temperature at the previous predetermined time. Based on the temperature difference, the target temperature of the heating plate in the target wire dryer used to heat the material at the predetermined time is determined.

2. The control method according to claim 1, characterized in that, Determining the target temperature of the heating plate in the target wire dryer used for heating materials at the predetermined time based on the temperature difference includes: When the difference temperature is negative, the feedback temperature at the predetermined time is determined as the target temperature of the heating plate in the target wire dryer used to heat the material; When the difference temperature is not negative, a difference probability temperature is determined based on the difference temperature, and the difference probability temperature is determined as the target temperature of the heating plate in the target wire dryer used for heating materials.

3. The control method according to claim 1, characterized in that, The control method further includes: When the moisture content of the material passing through the outlet reaches the threshold range corresponding to the target moisture content, the moment when the moisture content of the material passing through the outlet reaches the threshold range corresponding to the target moisture content is determined as the marking moment. By optimizing the target gradient estimation method, the temperature of the heating plate in the target wire dryer used to heat the material is controlled to the target temperature corresponding to the mark time at each time point after the mark time.

4. A feed head moisture control device based on the GS optimal curve, used to implement the control method described in any one of claims 1-3, characterized in that, The control device includes: The parameter acquisition module is used to acquire parameter data collected by at least one acquisition device at each sampling time for each wire drying process after the target wire drying machine has finished preheating. The moisture prediction module, for each sampling time, predicts the moisture content of the material passing through the inlet of the target drying machine and then through the outlet of the target drying machine based on the parameter data corresponding to that sampling time, so as to obtain the predicted moisture content at a predetermined time corresponding to each sampling time; wherein, the predetermined time corresponding to each sampling time is the time after a predetermined delay from that sampling time. The moisture acquisition module is used to acquire the ideal moisture at each sampling time based on the ideal moisture curve that represents the relationship between each predetermined time and the ideal moisture at each predetermined time. The deviation determination module is used to determine the moisture deviation value at each predetermined time based on the predicted moisture and expected moisture at that predetermined time. The control module is used to determine the target temperature of the heating plate in the target drying machine for heating materials at the predetermined time based on the moisture deviation value at the predetermined time, so as to control the moisture content of the material passing through the discharge port.

5. The control device according to claim 4, characterized in that, The parameter data collected for the drying process at each sampling time includes at least: the moisture content of the material passing through the feed inlet at that sampling time, the humidity data inside the target drying machine at that sampling time, the steam volume data, and the temperature of the heating plate. The moisture prediction module is specifically used for: For each sampling time, the moisture data of the material passing through the feed inlet, the humidity data inside the target drying machine, the steam volume data, and the temperature of the heating plate corresponding to the sampling time are input into a pre-established simulation model for predicting moisture, so as to obtain the predicted moisture at the predetermined time corresponding to the sampling time output by the simulation model.

6. The control device according to claim 5, characterized in that, The control module is specifically used for: Based on the moisture deviation value at the predetermined time, the feedback temperature of the heating plate in the target wire drying machine at the predetermined time is determined by feedback control. When the predetermined time is not the initial predetermined time, determine the difference temperature between the feedback temperature at the predetermined time and the feedback temperature at the previous predetermined time. Based on the temperature difference, the target temperature of the heating plate in the target wire dryer used to heat the material at the predetermined time is determined.

7. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. The machine-readable instructions are executed by the processor to perform the steps of the feed head moisture control method based on the GS optimal curve as described in any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the feed head moisture control method based on the GS optimal curve as described in any one of claims 1 to 3.

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