Water content feedforward model control method and device and storage medium

Abstract

The invention discloses a water content feed-forward model control method and device and a storage medium, and belongs to the technical field of cut tobacco dryer outlet water control. The method comprises the steps that an HT water adding predicted value is calculated according to a total water content change predicted value and a cut tobacco dryer dewatering capacity mean value; calculating an HT steam set flow correction value according to the HT water adding predicted value and the HT water adding capacity mean value; calculating HT adjusting flow according to superposition of a preset HT set flow value and the HT steam set flow correction value, and adjusting HT based on the HT adjusting flow; calculating a moisture removal set correction value of the cut-tobacco dryer based on the dehydration predicted value of the cut-tobacco dryer; and calculating a moisture removal adjustment value of the cut-tobacco dryer on the basis of superposition of a moisture removal set value of the cut-tobacco dryer and the moisture removal set correction value of the cut-tobacco dryer, and completing adjustment of the cut-tobacco dryer on the basis of the moisture removal adjustment value of the cut-tobacco dryer. According to the invention, the technical problem that the traditional control method affects production due to adjustment lag or excessive adjustment under the condition of large fluctuation of supplied material moisture can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of moisture control at a tofu drying machine outlet, and in particular to a moisture content feedforward model control method, device and storage medium. Background Art

[0002] The traditional control method for the silk drying machine in the silk-making workshop of a certain factory is based on negative feedback PID control of the outlet moisture content. The control object is the moisture exhaust air volume. When the moisture content changes, the moisture PID output directly controls the opening of the moisture exhaust damper. Although this control method responds quickly to changes in the outlet moisture content, it is prone to adjustment lag or over-adjustment when the incoming material moisture content fluctuates greatly (mainly occurring during the incoming material cabinet exchange process), resulting in process oscillation. It cannot be corrected through automatic control in a short period of time and often requires manual intervention by the operator.

[0003] Therefore, there is an urgent need for a moisture content feedforward model control method, device and storage medium to solve the above technical problems. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a moisture content feedforward model control method, device and storage medium, which can solve the technical problem that traditional control methods are prone to adjustment lag or over-adjustment when the moisture content of the incoming material fluctuates greatly, thereby affecting production.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a water content feedforward model control method, comprising:

[0007] Get first-hand real-time data and historical data;

[0008] Calculating an overall moisture content change prediction value based on the first real-time data, calculating an average of the tow dryer dehydration capacity and the average of the HT water addition capacity within a set period based on the historical data, calculating an HT water addition prediction value based on the overall moisture content change prediction value and the average of the tow dryer dehydration capacity, and calculating an HT steam set flow rate correction value based on the HT water addition prediction value and the average of the HT water addition capacity;

[0009] Calculating the HT adjustment flow rate by superposing a preset HT set flow rate value and the HT steam set flow rate correction value, and adjusting the HT based on the HT adjustment flow rate;

[0010] obtaining second real-time data after HT adjustment, calculating a predicted dehydration value of the wire drying machine based on the second real-time data, and calculating a moisture removal setting correction value of the wire drying machine based on the predicted dehydration value of the wire drying machine and an average dehydration capacity of the wire drying machine within a set period;

[0011] The wire drying machine dehumidification adjustment value is calculated based on the dehumidification setting value of the wire drying machine output by the moisture PID controller and the dehumidification setting correction value of the wire drying machine, and the wire drying machine is adjusted based on the dehumidification adjustment value of the wire drying machine.

[0012] Furthermore, calculating the predicted value of the overall water content change according to the first real-time data includes:

[0013] ,

[0014] in, is the predicted value of the overall moisture content change, W is the material weight measured in advance, M1 is the initial material moisture value, and Msp is the moisture set value at the outlet of the tofu drying machine.

[0015] Furthermore, calculating the average dehydration capacity and the average HT water addition capacity of the tow dryer within a set period based on the historical data includes:

[0016] ,

[0017] ,

[0018] in, is the average dehydration capacity of the wire drying machine, W is the weight of the material measured in advance, The real-time flow of materials n seconds before the current moment, is the moisture value of the HT inlet material n seconds before the current moment, is the moisture value of the material at the feed trough of the tow dryer n seconds before the current moment, The moisture value of the material in the dryer discharge trough n seconds before the current moment, is the average value of HT water adding capacity, is the number of data sampling points, M1 is the initial material moisture value, is the moisture value of the material at the feed trough of the dryer, It is the moisture value of the material at the discharge chute of the silk drying machine.

[0019] Furthermore, the HT water addition prediction value is calculated based on the overall moisture content change prediction value and the average dehydration capacity of the tofu drying machine, including:

[0020] Subtract the predicted value of the overall moisture content change from the average dehydration capacity of the tofu drying machine to obtain the HT water addition prediction value;

[0021] Calculating the HT steam set flow rate correction value according to the HT water addition prediction value and the HT water addition capacity average includes:

[0022] The HT water addition prediction value is subtracted from the HT water addition capacity mean to obtain the HT water addition capacity deviation value, and the HT steam set flow correction value is obtained based on multiplying the HT water addition capacity deviation value with a preset first weight coefficient.

[0023] Furthermore, regulating HT based on the HT regulation flow includes:

[0024] When the HT adjustment flow rate is within the upper and lower thresholds preset in the process standard, the HT adjustment flow rate is confirmed as the final HT set flow rate; when the HT adjustment flow rate is not within the upper and lower thresholds preset in the process standard, the preset upper and lower thresholds are confirmed as the final HT set flow rate;

[0025] The HT difference between the predicted HT actual flow and the final HT set flow is obtained, and the HT steam flow control PID is used to adjust the steam film valve opening based on the HT difference to adjust the HT steam flow.

[0026] Furthermore, calculating the dehydration prediction value of the tofu drying machine based on the second real-time data includes:

[0027] ,

[0028] in, is the dehydration prediction value of the silk drying machine, W is the material weight measured in advance, M1 is the initial material moisture value, is the moisture value of the material at the feed trough of the wire drying machine, and Msp is the moisture setting value at the outlet of the wire drying machine.

[0029] Furthermore, based on the predicted value of the dehydration of the wire drying machine and the average dehydration capacity of the wire drying machine within a set period, calculating the moisture removal setting correction value of the wire drying machine includes:

[0030] subtracting the predicted value of the dehydration of the wire drying machine from the average value of the dehydration capacity of the wire drying machine to obtain a dehydration capacity deviation value of the wire drying machine, and multiplying the dehydration capacity deviation value of the wire drying machine by a preset second weight coefficient to obtain a moisture removal setting correction value of the wire drying machine;

[0031] The adjustment of the tow dryer based on the moisture removal adjustment value of the tow dryer includes:

[0032] The actual dehumidification air volume predicted and the dehumidification difference of the dehumidification adjustment of the tofu drying machine are obtained, and the dehumidification air door actuator opening is adjusted based on the dehumidification difference by the dehumidification PID controller to adjust the dehumidification air volume.

[0033] In a second aspect, the present invention provides a moisture content feedforward model control device, comprising:

[0034] An acquisition module, configured to acquire first real-time data and historical data;

[0035] an HT steam set flow rate correction value calculation module, configured to calculate an overall moisture content change prediction value based on the first real-time data, calculate an average of the tow dryer dehydration capacity and the HT water addition capacity within a set period based on the historical data, calculate an HT water addition prediction value based on the overall moisture content change prediction value and the average of the tow dryer dehydration capacity, and calculate an HT steam set flow rate correction value based on the HT water addition prediction value and the average of the HT water addition capacity;

[0036] an HT regulating module, configured to calculate an HT regulating flow rate by superposing a preset HT set flow rate value and the HT steam set flow rate correction value, and regulate the HT based on the HT regulating flow rate;

[0037] a module for calculating a correction value for setting moisture removal for the wire drying machine, configured to obtain second real-time data after HT adjustment, calculate a predicted dehydration value for the wire drying machine based on the second real-time data, and calculate a correction value for setting moisture removal for the wire drying machine based on the predicted dehydration value for the wire drying machine and an average of the dehydration capacity of the wire drying machine within a set period;

[0038] The wire drying machine adjustment module is used to calculate the wire drying machine dehumidification adjustment value based on the dehumidification setting value of the wire drying machine output by the moisture PID controller and the dehumidification setting correction value of the wire drying machine, and complete the adjustment of the wire drying machine based on the dehumidification adjustment value of the wire drying machine.

[0039] In a third aspect, the present invention provides an electronic terminal comprising a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of any of the above methods are performed.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when executed by a processor.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] When the moisture content of the incoming material changes significantly, the flow regulation capacity of the HT is first adjusted through model calculation to compensate for the moisture difference of the material at the inlet of the wire drying machine. Then, by analyzing the moisture changes of the material at the inlet of the wire drying machine, an immediate moisture removal setting correction value is provided to adjust the moisture removal amount to compensate for the lag of the moisture negative feedback. Feedforward predictive model control based on historical data and real-time data is realized. Through two-level adjustment of HT steam flow and moisture removal air volume, the moisture control accuracy at the wire drying outlet is optimized, adjustment lag and over-adjustment are avoided, automatic correction is achieved, manual intervention is reduced, and finally product quality is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1This is a flow chart of a water content feedforward model control method provided by an embodiment of the present invention;

[0044] Figure 2 This is a control logic diagram of a water content feedforward model control method provided by an embodiment of the present invention;

[0045] Figure 3 This is a framework diagram of a moisture content feedforward model in a moisture content feedforward model control method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Unless there is a conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0047] The term "and / or" in this document simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Additionally, the character " / " in this document generally indicates an "or" relationship between the related objects.

[0048] HT, Humidification Tunnel, is a tunnel-type moisture-retention machine, which is a special equipment used for humidification and moisture-retention of materials. It is mainly used in tobacco, food processing and other fields. It belongs to the existing technology and will not be described in detail here.

[0049] Example 1:

[0050] Figure 1 This is a flow chart of the water content feedforward model control method in the first embodiment of the present invention. This flow chart only shows the logical sequence of the method described in this embodiment. Under the premise of no conflict, in other possible embodiments of the present invention, different Figure 1 The steps shown or described are accomplished in the order shown.

[0051] The moisture content feedforward model control method provided in this embodiment can be applied to a terminal and can be executed by a mechanical equipment fault identification device, which can be implemented by software and / or hardware and can be integrated into a terminal, such as any smart phone, tablet computer or computer device with communication function. Figures 1 to 3 As shown, the method of this embodiment specifically includes the following steps:

[0052] Step 1: Obtain the first real-time data and historical data. Before obtaining the first real-time data and historical data, in order to ensure the adequacy and accuracy of the data resources in the data pool, you can first determine whether the "cumulative production kilograms" of the current production batch exceeds the preset value. If it exceeds the preset value, start executing the control method.

[0053] Step 2: Calculating the predicted value of the overall water content change based on the first real-time data includes:

[0054] (Attached Figure 3 Formula 1 in the above equation),

[0055] in, is the predicted value of the overall moisture content change, W is the material weight measured in advance, M1 is the material moisture value detected by the moisture meter at the beginning, and Msp is the moisture set value at the outlet of the tofu drying machine;

[0056] The calculation of the average dehydration capacity and HT water addition capacity of the tofu drying machine within the set period based on the historical data includes:

[0057] (Attached Figure 3 Formula 2 in the above equation),

[0058] (Attached Figure 3 Formula 3 in the above equation),

[0059] in, is the average dehydration capacity of the wire drying machine, W is the weight of the material measured in advance, The real-time flow of materials n seconds before the current moment, is the moisture value of the HT inlet material n seconds before the current moment, is the moisture value of the material at the feed trough of the tow dryer n seconds before the current moment, The moisture value of the material in the dryer discharge trough n seconds before the current moment, is the average value of HT water adding capacity, is the number of data sampling points, M1 is the initial material moisture value, is the moisture value of the material at the feed trough of the dryer, The moisture value of the material at the discharge chute of the fiber drying machine;

[0060] The overall moisture content change prediction value is subtracted from the average dehydration capacity of the tow dryer to obtain the HT water addition prediction value, the HT water addition prediction value is subtracted from the average HT water addition capacity to obtain the HT water addition capacity deviation value, and the HT steam set flow correction value is obtained by multiplying the HT water addition capacity deviation value with a preset first weight coefficient.

[0061] Step 3: Calculate the HT adjustment flow rate by superimposing the preset HT set flow rate value and the HT steam set flow rate correction value. Adjusting the HT based on the HT adjustment flow rate includes:

[0062] When the HT adjustment flow rate is within the upper and lower thresholds preset in the process standard, the HT adjustment flow rate is confirmed as the final HT set flow rate; when the HT adjustment flow rate is not within the upper and lower thresholds preset in the process standard, the preset upper and lower thresholds are confirmed as the final HT set flow rate;

[0063] It should be noted that there are two situations in which the preset upper and lower thresholds are determined to be the final HT set flow rate: when the HT adjusted flow rate is higher than the upper threshold preset in the process standard, the upper threshold is used as the final HT set flow rate; when the HT adjusted flow rate is lower than the lower threshold preset in the process standard, the lower threshold is used as the final HT set flow rate;

[0064] The HT difference between the predicted HT actual flow and the final HT set flow is obtained, and the HT steam flow control PID is used to adjust the steam film valve opening based on the HT difference to adjust the HT steam flow.

[0065] Step 4: Acquire the second real-time data after HT adjustment, and calculate the dehydration prediction value of the tofu drying machine based on the second real-time data, including:

[0066] (Attached Figure 3 Formula 4 in the above equation),

[0067] in, is the dehydration prediction value of the dryer, W is the material weight measured in advance, M1 is the material moisture value detected by the moisture meter at the beginning, is the moisture value of the material at the feed chute of the wire drying machine, and Msp is the moisture setting value at the outlet of the wire drying machine;

[0068] Calculating the moisture removal setting correction value of the tow dryer based on the predicted value of tow dryer dehydration and the average value of the tow dryer dehydration capacity within a set period includes:

[0069] The dehydration prediction value of the wire drying machine is subtracted from the mean dehydration capacity of the wire drying machine to obtain a dehydration capacity deviation value of the wire drying machine. The dehydration capacity deviation value of the wire drying machine is multiplied by a preset second weight coefficient to obtain a moisture removal setting correction value of the wire drying machine.

[0070] Step 5: As attached Figure 2 As shown, the moisture removal setting value of the wire drying machine is calculated based on the moisture PID controller output and the moisture removal setting correction value of the wire drying machine. Figure 2 Tidal regulation value in Figure 2Due to the limitations of the image specifications, it is abbreviated as the dehumidification adjustment value) to complete the adjustment of the tofu drying machine:

[0071] Obtaining the predicted actual dehumidification air volume and the dehumidification difference of the dehumidification adjustment of the tofu drying machine, and adjusting the opening of the dehumidification damper actuator based on the dehumidification difference by the dehumidification PID controller to adjust the dehumidification air volume;

[0072] In addition, after adjusting the moisture removal air volume, the moisture content at the outlet material will change. The changed moisture content is detected by a moisture meter, and the changed moisture content is input into a comparator. The comparator performs difference processing based on the moisture content set at the outlet and the changed moisture content to obtain a moisture content difference. The moisture content difference is input into the moisture PID controller to obtain the moisture removal setting value of the silk drying machine. It should be noted that this part is based on the output results of this patent combined with the specific application of the existing technology. Controls other than the control model (such as PID loops, etc.) are all existing technologies and will not be repeated here.

[0073] Example 2:

[0074] A second embodiment of the present invention provides a water content feedforward model control device, comprising:

[0075] An acquisition module, configured to acquire first real-time data and historical data;

[0076] an HT steam set flow rate correction value calculation module, configured to calculate an overall moisture content change prediction value based on the first real-time data, calculate an average of the tow dryer dehydration capacity and the HT water addition capacity within a set period based on the historical data, calculate an HT water addition prediction value based on the overall moisture content change prediction value and the average of the tow dryer dehydration capacity, and calculate an HT steam set flow rate correction value based on the HT water addition prediction value and the average of the HT water addition capacity;

[0077] an HT regulating module, configured to calculate an HT regulating flow rate by superposing a preset HT set flow rate value and the HT steam set flow rate correction value, and regulate the HT based on the HT regulating flow rate;

[0078] a module for calculating a correction value for setting moisture removal for the wire drying machine, configured to obtain second real-time data after HT adjustment, calculate a predicted dehydration value for the wire drying machine based on the second real-time data, and calculate a correction value for setting moisture removal for the wire drying machine based on the predicted dehydration value for the wire drying machine and an average of the dehydration capacity of the wire drying machine within a set period;

[0079] The wire drying machine adjustment module is used to calculate the wire drying machine dehumidification adjustment value based on the dehumidification setting value of the wire drying machine output by the moisture PID controller and the dehumidification setting correction value of the wire drying machine, and complete the adjustment of the wire drying machine based on the dehumidification adjustment value of the wire drying machine.

[0080] The moisture content feedforward model control provided in the second embodiment of the present invention can execute the moisture content feedforward model control method provided in the first embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0081] Example 3:

[0082] The third embodiment of the present invention further provides an electronic terminal, comprising a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and the processor is configured to operate according to the instructions to execute the steps of the method described in the first embodiment.

[0083] The electronic terminal provided in the third embodiment of the present invention can execute the water content feedforward model control method provided in the first embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0084] Example 4:

[0085] Embodiment 4 of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in embodiment 1 are implemented, and the computer program has functional modules and beneficial effects corresponding to the execution method.

[0086] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, apparatuses, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (apparatus), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0090] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A moisture content feedforward model control method, characterized in that: include: Get first-hand real-time data and historical data; Calculating an overall moisture content change prediction value based on the first real-time data, calculating an average of the tow dryer dehydration capacity and the average of the HT water addition capacity within a set period based on the historical data, calculating an HT water addition prediction value based on the overall moisture content change prediction value and the average of the tow dryer dehydration capacity, and calculating an HT steam set flow rate correction value based on the HT water addition prediction value and the average of the HT water addition capacity; Calculating the HT adjustment flow rate by superposing a preset HT set flow rate value and the HT steam set flow rate correction value, and adjusting the HT based on the HT adjustment flow rate; obtaining second real-time data after HT adjustment, calculating a predicted dehydration value of the wire drying machine based on the second real-time data, and calculating a moisture removal setting correction value of the wire drying machine based on the predicted dehydration value of the wire drying machine and an average dehydration capacity of the wire drying machine within a set period; The wire drying machine dehumidification adjustment value is calculated based on the dehumidification setting value of the wire drying machine output by the moisture PID controller and the dehumidification setting correction value of the wire drying machine, and the wire drying machine is adjusted based on the dehumidification adjustment value of the wire drying machine.

2. The moisture content feedforward model control method according to claim 1, characterized in that: Calculating the predicted value of the overall water content change according to the first real-time data includes: ， in, is the predicted value of the overall moisture content change, W is the material weight measured in advance, M1 is the initial material moisture value, and Msp is the moisture set value at the outlet of the tofu drying machine.

3. The moisture content feedforward model control method according to claim 1, characterized in that: The calculation of the average dehydration capacity and HT water addition capacity of the tofu drying machine within the set period based on the historical data includes: ， ， in, is the average dehydration capacity of the wire drying machine, W is the weight of the material measured in advance, The real-time flow of materials n seconds before the current moment, is the moisture value of the HT inlet material n seconds before the current moment, is the moisture value of the material at the feed trough of the tow dryer n seconds before the current moment, The moisture value of the material in the dryer discharge trough n seconds before the current moment, is the average value of HT water adding capacity, is the number of data sampling points, M1 is the initial material moisture value, is the moisture value of the material at the feed trough of the dryer, It is the moisture value of the material at the discharge chute of the silk drying machine.

4. The moisture content feedforward model control method according to claim 1, characterized in that: The HT water addition prediction value is calculated based on the overall moisture content change prediction value and the average dehydration capacity of the tofu drying machine, including: Subtract the predicted value of the overall moisture content change from the average dehydration capacity of the tofu drying machine to obtain the HT water addition prediction value; Calculating the HT steam set flow rate correction value according to the HT water addition prediction value and the HT water addition capacity average includes: The HT water addition prediction value is subtracted from the HT water addition capacity mean to obtain the HT water addition capacity deviation value, and the HT steam set flow correction value is obtained based on multiplying the HT water addition capacity deviation value with a preset first weight coefficient.

5. The moisture content feedforward model control method according to claim 1, characterized in that: HT regulation based on the HT regulation flow includes: When the HT adjustment flow rate is within the upper and lower thresholds preset in the process standard, the HT adjustment flow rate is confirmed as the final HT set flow rate; when the HT adjustment flow rate is not within the upper and lower thresholds preset in the process standard, the preset upper and lower thresholds are confirmed as the final HT set flow rate; The HT difference between the predicted HT actual flow and the final HT set flow is obtained, and the HT steam flow control PID is used to adjust the steam film valve opening based on the HT difference to adjust the HT steam flow.

6. The moisture content feedforward model control method according to claim 3, characterized in that: Calculating the dehydration prediction value of the tofu drying machine based on the second real-time data includes: ， in, is the dehydration prediction value of the silk drying machine, W is the material weight measured in advance, M1 is the initial material moisture value, is the moisture value of the material at the feed trough of the wire drying machine, and Msp is the moisture setting value at the outlet of the wire drying machine.

7. The moisture content feedforward model control method according to claim 1, characterized in that: Calculating the moisture removal setting correction value of the tow dryer based on the predicted value of tow dryer dehydration and the average value of the tow dryer dehydration capacity within a set period includes: subtracting the predicted value of the dehydration of the wire drying machine from the average value of the dehydration capacity of the wire drying machine to obtain a dehydration capacity deviation value of the wire drying machine, and multiplying the dehydration capacity deviation value of the wire drying machine by a preset second weight coefficient to obtain a moisture removal setting correction value of the wire drying machine; The adjustment of the tow dryer based on the moisture removal adjustment value of the tow dryer includes: The actual dehumidification air volume predicted and the dehumidification difference of the dehumidification adjustment of the tofu drying machine are obtained, and the dehumidification air door actuator opening is adjusted based on the dehumidification difference by the dehumidification PID controller to adjust the dehumidification air volume.

8. A moisture content feedforward model control device, characterized in that: include: An acquisition module, configured to acquire first real-time data and historical data; an HT steam set flow rate correction value calculation module, configured to calculate an overall moisture content change prediction value based on the first real-time data, calculate an average of the tow dryer dehydration capacity and the HT water addition capacity within a set period based on the historical data, calculate an HT water addition prediction value based on the overall moisture content change prediction value and the average of the tow dryer dehydration capacity, and calculate an HT steam set flow rate correction value based on the HT water addition prediction value and the average of the HT water addition capacity; an HT regulating module, configured to calculate an HT regulating flow rate by superposing a preset HT set flow rate value and the HT steam set flow rate correction value, and regulate the HT based on the HT regulating flow rate; a module for calculating a correction value for setting moisture removal for the wire drying machine, configured to obtain second real-time data after HT adjustment, calculate a predicted dehydration value for the wire drying machine based on the second real-time data, and calculate a correction value for setting moisture removal for the wire drying machine based on the predicted dehydration value for the wire drying machine and an average of the dehydration capacity of the wire drying machine within a set period; The wire drying machine adjustment module is used to calculate the wire drying machine dehumidification adjustment value based on the dehumidification setting value of the wire drying machine output by the moisture PID controller and the dehumidification setting correction value of the wire drying machine, and complete the adjustment of the wire drying machine based on the dehumidification adjustment value of the wire drying machine.

9. An electronic terminal, characterized in that: The method comprises a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are executed.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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