Method and system for controlling discharge flow of leaf storage cabinet, medium and electronic equipment

Abstract

The application provides a leaf storage cabinet discharge flow control method and system, a medium and an electronic device. The method comprises the following steps: acquiring a leaf storage cabinet bottom belt running speed valve value of a material buffer section from the leaf storage cabinet to a tobacco cutting feeder, and a tobacco cutting feeder material level length value; acquiring the tobacco cutting feeder material level length value at a first preset time point based on the leaf storage cabinet bottom belt running speed valve value and the tobacco cutting feeder material level length value; acquiring a second preset time period and a second preset time period leaf storage cabinet bottom belt running speed valve value based on the tobacco cutting feeder material level length value at the first preset time point; and regulating and controlling the leaf storage cabinet discharge flow based on the second preset time period and the second preset time period leaf storage cabinet bottom belt running speed valve value. The application obtains the optimal leaf storage cabinet bottom belt running speed valve value in a future period of time through an optimization function based on the predicted risk in the future period of time, and performs adaptive adjustment to realize effective closed loop of leaf storage cabinet discharge flow monitoring, prediction and control.

Description

Technical Field

[0001] This application relates to the technical field of tobacco leaf feeding, and in particular to a method and system for controlling the discharge flow of a tobacco leaf storage cabinet, as well as a medium and electronic equipment. Background Technology

[0002] The shredding process is one of the most important steps in cigarette production. Stable shredding quality ensures the structure and volume of the tobacco leaves, as well as stable inhalation resistance. Currently, the mainstream production model for shredding in the domestic tobacco industry involves the tobacco leaves passing through a storage cabinet, then through an auxiliary device to a vibrating screen and trough, and finally through a metal detector to a shredding feeder. After being lifted by the feeder, the tobacco leaves enter the shredder, where they are shredded into the required width. The storage cabinet operates at a preset bottom belt speed. The tobacco leaves are transported through multiple auxiliary devices to the shredding feeder, which feeds them to the shredder at a preset speed. The operating speeds of each piece of equipment are set manually based on experience within the equipment parameters.

[0003] Existing methods for controlling the discharge flow rate of tobacco storage cabinets primarily rely on manual intervention. Operators need to monitor the tobacco leaf inventory in the shredder feeder in real time and continuously adjust the bottom belt speed of the storage cabinet based on subjective experience. This manual intervention-based control method still struggles to address the mismatch between the discharge flow rate of the storage cabinet and the flow rate of the shredder feeder. This results in frequent shutdowns of the shredder feeder when it is full or when it runs out of material. Repeated start-ups and shutdowns of auxiliary equipment increase the probability of tobacco leaf blockage, leading to unstable shredding flow rate and consequently affecting shredding quality. Furthermore, existing control methods often have significant errors and delays, lack the ability to predict discharge flow rate trends, and cannot adjust control strategies in advance, resulting in high flow rate volatility.

[0004] Application content

[0005] The purpose of this application is to provide a method, system, medium, and electronic equipment for controlling the discharge flow of a leaf storage cabinet, in order to solve the technical problems of large fluctuations in the discharge flow of the leaf storage cabinet and excessive reliance on manual intervention control.

[0006] In a first aspect, this application provides a method for controlling the discharge flow rate of a leaf storage cabinet. The method includes: acquiring monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder; the monitoring data includes: a valve value for the bottom belt speed of the leaf storage cabinet and a material level length value for the shredder feeder; acquiring a material level length value for the shredder feeder at a first preset time point based on the valve value for the bottom belt speed of the leaf storage cabinet and the material level length value for the shredder feeder; acquiring a second preset time period and a valve value for the bottom belt speed of the leaf storage cabinet at the second preset time period based on the material level length value for the shredder feeder at the first preset time point; and regulating the discharge flow rate of the leaf storage cabinet based on the second preset time period and the valve value for the bottom belt speed of the leaf storage cabinet at the second preset time period.

[0007] In some embodiments of the first aspect of this application, monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder is obtained; the monitoring data includes: the operating speed valve value of the leaf storage cabinet bottom belt and the material level length value of the shredder feeder; the material level length value of the shredder feeder at a first preset time point is obtained based on the operating speed valve value of the leaf storage cabinet bottom belt and the material level length value of the shredder feeder; a second preset time period and the operating speed valve value of the leaf storage cabinet bottom belt at the second preset time period are obtained based on the material level length value of the shredder feeder at the first preset time point; and the discharge flow rate of the leaf storage cabinet is regulated based on the second preset time period and the operating speed valve value of the leaf storage cabinet bottom belt at the second preset time period.

[0008] In some embodiments of the first aspect of this application, obtaining the linear relationship includes obtaining historical leaf storage tank bottom belt running speed valve values ​​and historical shredder feeder material level length values; plotting a scatter plot between the historical leaf storage tank bottom belt running speed valve values ​​and the historical shredder feeder material level length values ​​after cleaning, and the average change of the leaf storage tank bottom belt running speed valve values ​​and the shredder feeder material level length per unit time; constructing the linear relationship based on the scatter plot; wherein, the expression of the linear relationship is:

[0009]

[0010] Where L represents the material level length value of the shredder feeder. CV represents the average change in the length of the material level in the shredder feeder per unit time. SPEED The value of the valve representing the running speed of the leaf storage cabinet bottom belt is given, and a and b represent the intercept and coefficient of the linear relationship, respectively.

[0011] In some embodiments of the first aspect of this application, before obtaining the second preset time period and the valve value of the running speed of the bottom belt of the leaf storage cabinet during the second preset time period, the method further includes: determining whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets a preset condition; if the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset condition, then the second preset time period and the valve value of the running speed of the bottom belt of the leaf storage cabinet during the second preset time period are obtained; otherwise, the acquisition is not performed, and the process waits for the next round of determination.

[0012] In some embodiments of the first aspect of this application, determining whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset conditions includes: determining whether the material level length value of the shredder feeder at the first preset time point exceeds the upper limit value of the material level length of the shredder feeder; if so, then continue to acquire the second preset time period and the operating speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period; otherwise, determining whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value is less than the first preset deviation; if so, then continue to acquire the second preset time period and the operating speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period; otherwise, determining whether the deviation value is greater than the second preset deviation; if so, then continue to acquire the second preset time period and the operating speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period; the second preset deviation is greater than the first preset deviation; otherwise, no acquisition is performed, and the process waits for the next round of determination.

[0013] In some embodiments of the first aspect of this application, obtaining a second preset time period and a valve value for the running speed of the leaf storage cabinet bottom belt based on the material level length value of the shredder at the first preset time point includes: obtaining the deviation value between the material level length value of the shredder at the first preset time point and the target value; inputting the deviation value into an optimization function, and calculating the reduction in deviation under different combinations of time steps and leaf storage cabinet bottom belt running speed valve values ​​through grid search; selecting the set of time steps and leaf storage cabinet bottom belt running speed valve values ​​with the largest reduction in deviation as the second preset time period and the leaf storage cabinet bottom belt running speed valve value for the second preset time period.

[0014] In some embodiments of the first aspect of this application, the optimization function is expressed as:

[0015]

[0016] st1≤Δt≤q;CV 下限 ≤CV speed ≤CV 上限

[0017] in, and For parameter estimates, CV speed The value represents the valve value of the bottom belt running speed of the leaf storage cabinet to be solved, and bias represents the deviation between the material level length value of the shredder feeder at the first preset time point and the target value. denoted as the length value of the shredder feeder at the first preset time point, p represents the step size of the first preset time period, SP represents the target value, Δt is the step size of the second preset time period to be acquired, and CV represents the length value of the feeder at the first preset time point. speed This represents the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period to be solved.

[0018] Secondly, this application provides a leaf storage cabinet discharge flow control system, which includes: an acquisition module for acquiring monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder; the monitoring data includes: a valve value of the bottom belt running speed of the leaf storage cabinet and a material level length value of the shredder feeder; a first data processing module for acquiring a material level length value of the shredder feeder at a first preset time point based on the valve value of the bottom belt running speed of the leaf storage cabinet and the material level length value of the shredder feeder; a second data processing module for acquiring a second preset time period and a valve value of the bottom belt running speed of the leaf storage cabinet at the second preset time period based on the material level length value of the shredder feeder at the first preset time point; and a control module for regulating the discharge flow of the leaf storage cabinet based on the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet at the second preset time period.

[0019] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by an electronic device, implements the leaf storage tank discharge flow control method described in any of the first aspects of this application.

[0020] Fourthly, this application provides an electronic device, comprising: a processor and a memory; the memory for storing a computer program; the processor for executing the computer program stored in the memory to cause the electronic device to perform the leaf storage tank discharge flow control method according to any one of the first aspects of this application.

[0021] As described above, the leaf storage cabinet discharge flow control method and system, medium and electronic equipment of this application predict the material level length of the shredder in the future by using the obtained valve value of the bottom belt running speed of the leaf storage cabinet and the material level length value of the shredder feeder. This further identifies the risk of material fullness or emptyness in the future period, and adaptively adjusts the relevant control parameters based on the mechanism model to achieve an effective closed loop of leaf storage cabinet discharge flow monitoring, prediction and control, improve tobacco processing efficiency and product quality, reduce labor costs and improve operation convenience. Attached Figure Description

[0022] Figure 1 The diagram shown is a scene illustration of the electronic device of this application in one embodiment.

[0023] Figure 2 The diagram shown is a flowchart of an embodiment of the leaf storage cabinet discharge flow control method described in this application.

[0024] Figure 3 The diagram shown is a flowchart illustrating an embodiment of the process for obtaining the material level length value of the shredder feeder at a first preset time point, as described in this application.

[0025] Figure 4The diagram shown is a flowchart of another embodiment of the leaf storage tank discharge flow control method described in this application.

[0026] Figure 5 This is a flowchart illustrating an embodiment of the method for determining whether the deviation between the length value of the material level of the shredder feeder at the first preset time point and the target value meets the preset conditions, as described in this application.

[0027] Figure 6 The diagram shown is a structural schematic of the leaf storage cabinet discharge flow control system described in this application in one embodiment.

[0028] Figure 7 The diagram shown is a structural schematic of the electronic device described in an embodiment of this application.

[0029] Component designation explanation

[0030] 11 mobile phones

[0031] 12 tablets

[0032] 13 Laptops

[0033] 600 Leaf Storage Cabinet Discharge Flow Control System

[0034] 610 Acquisition Module

[0035] 620 First Data Processing Module

[0036] 630 Second Data Processing Module

[0037] 640 Control Module

[0038] 650 Judgment Module

[0039] 71 Processing Units

[0040] 72 Memory

[0041] 721 Random Access Memory

[0042] 722 cache memory

[0043] 723 Storage System

[0044] 724 Programs / Utilities

[0045] 725 Program Module

[0046] 73 bus

[0047] 74 Input / Output Interfaces

[0048] 75 Network Adapter

[0049] Steps S1 to S4

[0050] Steps S21 to S23 Detailed Implementation

[0051] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0052] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0053] Existing methods for controlling the discharge flow rate of tobacco storage cabinets primarily rely on manual intervention. Operators need to monitor the tobacco leaf inventory in the shredder feeder in real time and continuously adjust the speed of the bottom belt of the storage cabinet based on subjective experience. This manual intervention-based control method still struggles to solve the problem of mismatch between the tobacco leaf discharge flow rate from the storage cabinet and the shredder flow rate. This results in frequent shutdowns of the shredder feeder when it is full or when it runs out of material. Repeated start-ups and shutdowns of auxiliary equipment increase the probability of tobacco leaf blockage, thus causing unstable shredding flow rate and consequently affecting the shredding quality.

[0054] To address at least the aforementioned problems, this application provides a method and system for controlling the discharge flow rate of a leaf storage cabinet, as well as a medium and electronic equipment. The method predicts the material level length of the shredder feeder over a future period based on the monitoring equipment's acquisition of the cabinet's bottom belt running speed valve value and the material level length value of the shredder feeder. It further identifies the risk of a full or empty feeder in the future. Based on an optimization function, it uses data analysis to derive the optimal bottom belt running speed valve value and adaptively adjusts it according to this optimal value based on a mechanistic model, thus achieving an effective closed loop for monitoring, predicting, and controlling the leaf storage cabinet's discharge flow rate. This effectively solves the technical problems of large fluctuations in the leaf storage cabinet's discharge flow rate and excessive reliance on manual intervention.

[0055] The leaf storage tank discharge flow control method of this application can be applied to, for example... Figure 1The electronic devices shown in this application may include mobile phones 11 with wireless charging capabilities, tablet computers 12, laptop computers 13, wearable devices, in-vehicle devices, augmented reality (AR) / virtual reality (VR) devices, ultra-mobile personal computers (UMPCs), netbooks, personal digital assistants (PDAs), etc. The specific types of electronic devices are not limited in this application embodiment.

[0056] For example, the electronic device may be a station (STAION, ST) in a WLAN with wireless charging capability, a cellular phone, cordless phone, Session Initiation Protocol (SIP) phone, Wireless Local Loop (WLL) station, Personal Digital Assistant (PDA) device, handheld device with wireless charging capability, computing device or other processing device, computer, laptop computer, handheld communication device, handheld computing device, and / or other devices for communicating over a wireless system, as well as next-generation communication systems, etc.

[0057] For example, the electronic device can communicate with networks and other devices wirelessly. The aforementioned wireless communication can use any communication standard or protocol, including but not limited to Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), BT, GNSS, WLAN, NFC, FM, and / or IR technologies.

[0058] The following will describe in detail, with reference to the accompanying drawings, the principles and implementation methods of the leaf storage tank discharge flow control method and system, medium and electronic equipment described in the embodiments of this application, so that those skilled in the art can understand the leaf storage tank discharge flow control method and system, medium and electronic equipment of this embodiment without creative effort.

[0059] Please see Figure 2 The diagram shows a flow chart of the leaf storage tank discharge flow control method described in this application embodiment. Figure 2 As shown, the leaf storage tank discharge flow control method includes the following steps S1 to S4.

[0060] Step S1: Obtain monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder; the monitoring data includes: the operating speed valve value of the leaf storage cabinet bottom belt and the material level length value of the shredder feeder.

[0061] In this embodiment, the monitoring data is acquired through a set monitoring sensor.

[0062] Specifically, it also includes performing data merging, data cleaning, and feature extraction operations on the acquired monitoring data to facilitate subsequent data calculations.

[0063] In this embodiment, the acquired monitoring data includes monitoring data from past time point tw to current time point t; that is, the operating speed valve value of the leaf storage cabinet bottom belt is a continuous sequence value from past time point tw to current time point t, and the material level length value of the shredder feeder is a continuous sequence value from past time point tw to current time point t.

[0064] Step S2: Obtain the material level length value of the shredder at the first preset time point based on the valve value of the running speed of the bottom belt of the leaf storage cabinet and the material level length value of the shredder feeder.

[0065] Specifically, based on the obtained past time point tw to the current time point t, the change value of the material level length of the shredder at each time point from the current time point t to the future time point t+p is calculated. The change value of the material level length of the shredder at each time point from the current time point t to the future time point t+p is added to the material level length value of the shredder at the current time point t to obtain the material level length value of the shredder at the future time point t+p.

[0066] In some implementations, the operating speed valve value of the leaf storage cabinet bottom belt is input into a linear relationship between the operating speed valve value of the leaf storage cabinet bottom belt and the average change in the material level length of the shredded feeder per unit time to obtain the change value of the material level length of the shredded feeder at each time point within a first preset time period. The change value of the material level length of the shredded feeder at each time point within the first preset time period is then added to the obtained material level length value of the shredded feeder to obtain the material level length value of the shredded feeder at the first preset time point.

[0067] like Figure 3 As shown, obtaining the material length value of the shredder feeder at the first preset time point includes the following steps S21 to S23.

[0068] Step S21: Obtain the linear relationship between the valve value of the bottom belt running speed of the leaf storage cabinet and the average change of the material level length of the shredder feeder per unit time.

[0069] In this embodiment, the linear relationship is expressed as:

[0070]

[0071] Where L represents the material level length value of the shredder feeder. CV represents the average change in the length of the material level in the shredder feeder per unit time. SPEED The value of the valve representing the running speed of the leaf storage cabinet bottom belt is given, and a and b represent the intercept and coefficient of the linear relationship, respectively.

[0072] In this embodiment, the process of obtaining the linear relationship includes: obtaining the historical operating speed valve value of the bottom belt of the leaf storage cabinet and the historical material level length value of the shredder feeder; drawing a scatter plot between the operating speed valve value of the bottom belt of the leaf storage cabinet and the average change of the material level length of the shredder feeder per unit time based on the historical operating speed valve value of the bottom belt of the leaf storage cabinet and the historical material level length value of the shredder feeder after cleaning; and constructing the linear relationship based on the scatter plot.

[0073] Specifically, the historical leaf storage cabinet bottom belt running speed valve value and the historical shredder material level length value are obtained for multiple batches. The material head data and material tail data of the historical leaf storage cabinet bottom belt running speed valve value and the historical shredder material level length value for each batch are filtered. An appropriate time window is selected from the filtered data to calculate the average unit change of the shredder material level length within the time window. Preferably, the time window is set to 3-5 minutes.

[0074] Furthermore, the average value of the unit change in the material level length of the shredder feeder within the obtained time window period is cleaned to filter out outliers, missing values, and erroneous values.

[0075] Furthermore, a scatter plot is drawn between the average unit change of the material level length of the shredder in the time window segment after data cleaning and the historical operating speed valve value of the bottom belt of the leaf storage cabinet in the corresponding time period, and the linear relationship is constructed based on the drawn scatter plot.

[0076] Step S22: Input the operating speed valve value of the leaf storage cabinet bottom belt into the linear relationship to obtain the change value of the material level length of the shredder at each time point within the first preset time period.

[0077] In this embodiment, the step size of the first preset time period is set to p, and the valve value of the running speed of the bottom belt of the liquid storage tank is input into the linear relationship to obtain the change value of the material level length of the shredder at each time point within the time period with a time step of p.

[0078] Specifically, the valve values ​​of the bottom belt running speed of the leaf storage cabinet from the past time point tw to the current time point t are sequentially input into the linear relationship expression to obtain the change value of the material level length of the shredder feeder at each time point from the current time point t to the future time point t+w.

[0079] Furthermore, extract the changes in the material level length of the shredder feeder from the current time point t to the future time point t+w.

[0080] It should be noted that the step size p of the first preset time period is smaller than the step size from the past time point tw to the current time point t.

[0081] Step S23: Accumulate the change value of the material level length of the shredder feeder at each time point of the first preset time period and the material level length value of the shredder feeder to obtain the material level length value of the shredder feeder at the first preset time point.

[0082] In this embodiment, the changes in the material level length of the shredder feeder at each time point from the current time point t to the future time point t+p are added to the material level length value of the shredder feeder at the current time point t to obtain the material level length value of the shredder feeder at the future time point t+p.

[0083] In some implementations, before obtaining the second preset time period and the valve value of the running speed of the leaf storage cabinet bottom belt during the second preset time period, it is further included to determine whether the deviation between the material level length value of the shredder at the first preset time point and the target value meets the preset conditions.

[0084] like Figure 4 As shown, the leaf storage tank discharge flow control method further includes step S3'.

[0085] Step S3': Determine whether the deviation between the material length value of the shredder feeder at the first preset time point and the target value meets the preset conditions.

[0086] In this embodiment, if the deviation between the material level length value of the shredder at the first preset time point and the target value meets the preset condition, then the second preset time period and the running speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period are obtained; otherwise, no acquisition is performed, and the process waits for the next round of judgment.

[0087] like Figure 5 As shown, in this embodiment, determining whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset conditions includes:

[0088] Determine whether the material level length value of the shredder feeder at the first preset time point exceeds the upper limit value of the material level length of the shredder feeder; if so, continue to obtain the second preset time period and the running speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period.

[0089] Conversely, it is determined whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value is less than the first preset deviation; if so, the second preset time period and the running speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period are obtained.

[0090] Conversely, it is determined whether the deviation value is greater than the second preset deviation. If so, the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period are obtained; the second preset deviation is greater than the first preset deviation.

[0091] Conversely, if the condition is not met, no acquisition will be performed, and the process will wait for the next round of judgment.

[0092] Step S3: Based on the material level length value of the shredder feeder at the first preset time point, obtain the second preset time period and the running speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period.

[0093] In some implementations, obtaining the second preset time period and the operating speed valve value of the leaf storage cabinet bottom belt during the second preset time period includes: obtaining the deviation value between the material level length value of the shredder feeder at the first preset time point and the target value; inputting the deviation value into an optimization function, and calculating the deviation reduction amount under different combinations of time steps and leaf storage cabinet bottom belt operating speed valve values ​​through grid search; selecting the set of time steps and leaf storage cabinet bottom belt operating speed valve values ​​with the largest deviation reduction amount as the second preset time period and the operating speed valve value of the leaf storage cabinet bottom belt during the second preset time period.

[0094] In this embodiment, the optimization function is expressed as:

[0095]

[0096] st1≤Δt≤q;CV 下限 ≤CV speed ≤CV 上限

[0097] in, and For parameter estimates, CV speed The value represents the valve value of the bottom belt running speed of the leaf storage cabinet to be solved, and bias represents the deviation between the material level length value of the shredder feeder at the first preset time point and the target value. denoted as the length value of the shredder feeder at the first preset time point, p represents the step size of the first preset time period, SP represents the target value, Δt is the step size of the second preset time period to be acquired, and CV represents the length value of the feeder at the first preset time point. speed This represents the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period to be solved.

[0098] Specifically, the obtained material level length value of the shredder feeder at the future time point t+p and the set target value of the material level length of the shredder feeder are input into the optimization function, and different Δt and CV are calculated through grid search. speed The reduction in deviation of the material level length value of the shredder feeder under the combined conditions; from the obtained multiple sets of Δt and CV speed The group with the largest reduction in deviation of the material level length value of the combined shredder feeder is selected as the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period.

[0099] In each set of Δt and CV speed The combination must include at least one set of Δt and CV. speed For example, the first set of Δt and CV speed Combinations include: Δt1 and CV speed1 Δt2 and CV speed2 Then the Δt of the first group is Δt1 + Δt2; the Δt of the second group is related to CV. speed Combinations include: Δt1 and CV speed1 Then, the Δt of the second group is Δt1.

[0100] Step S4: Adjust the discharge flow rate of the leaf storage cabinet based on the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period.

[0101] In this embodiment, the relevant parameters of the leaf storage cabinet are adjusted according to the obtained second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period, so as to further regulate the discharge flow rate of the leaf storage cabinet.

[0102] It should be noted that the control of the valve value of the bottom belt running speed of the leaf storage cabinet takes effect at the first preset time point and takes effect within the time step of the second preset time period, thereby adjusting the running speed of the bottom belt of the leaf storage cabinet and maintaining the material level length within a safe range.

[0103] The leaf storage tank discharge flow control method described in this application embodiment is illustrated with an example, using past time point tw, current time point t, first preset time period p, and second preset time period q:

[0104] By acquiring monitoring data from past time point tw to current time point t, the change value of the material level length of the shredder feeder at each time point within the time period from current time point t to future time point t+p is obtained. Based on the acquired change value of the material level length of the shredder feeder, the material level length value of the shredder feeder at future time point t+p is obtained. Based on the risk that the material level length value of the shredder feeder at the predicted future time point t+p may be full or empty, the second preset time period q and the valve value of the bottom belt running speed of the leaf storage cabinet at each time point within the second preset time period q are calculated by an optimization function. That is, the valve value of the bottom belt running speed of the leaf storage cabinet at each time point within the time period from future time point t+p to future time point t+p+q is calculated by an optimization function.

[0105] Please see Figure 6 The diagram shown is a structural schematic of the leaf storage cabinet discharge flow control system described in the embodiments of this application.

[0106] like Figure 6 As shown, the leaf storage cabinet discharge flow control system 600 includes: an acquisition module 610, a first data processing module 620, a second data processing module 630, and a control module 640.

[0107] The acquisition module 610 is used to acquire monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder; the monitoring data includes: the operating speed valve value of the leaf storage cabinet bottom belt and the material level length value of the shredder feeder.

[0108] The first data processing module 620 is used to obtain the material level length value of the shredder at a first preset time point based on the valve value of the running speed of the bottom belt of the leaf storage cabinet and the material level length value of the shredder feeder.

[0109] The second data processing module 630 is used to obtain a second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period based on the material level length value of the shredder feeder at the first preset time point.

[0110] The control module 640 is used to regulate the discharge flow rate of the leaf storage cabinet based on the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period.

[0111] In this embodiment, the leaf storage cabinet discharge flow control system 600 further includes a judgment module 650, which is used to determine whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset conditions; if the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset conditions, then the second preset time period and the operating speed valve value of the leaf storage cabinet bottom belt during the second preset time period are obtained; otherwise, no acquisition is performed, and the system waits for the next round of judgment.

[0112] It should be noted that the way each module of the leaf storage cabinet discharge flow control system described in this embodiment implements its corresponding function corresponds one-to-one with the leaf storage cabinet discharge flow control method described in this application embodiment, so it will not be repeated here.

[0113] It should be noted that the above division of modules is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware. For example, module x can be a separate processing element, or it can be integrated into a chip in the aforementioned device. Alternatively, it can be stored as program code in the memory of the aforementioned device, and its function can be called and executed by a processing element of the device. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element mentioned here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed through integrated logic circuits in the hardware of the processor element or through software instructions.

[0114] For example, these modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs). As another example, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together to form a system-on-a-chip (SOC).

[0115] This application also provides a computer-readable storage medium. Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing a processor. The program can be stored in a computer-readable storage medium, which is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof. The storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state drive (SSD)).

[0116] This application also provides an electronic device, including a processor and a memory.

[0117] Specifically, a memory is used to store computer programs; memory includes various media that can store program code, such as ROM, RAM, magnetic disks, USB flash drives, memory cards, or optical discs.

[0118] The processor is used to execute the computer program stored in the memory so that the electronic equipment performs the above-described leaf storage tank discharge flow control method.

[0119] like Figure 7As shown, the electronic device of this application is embodied in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: one or more processors or processing units 71, memory 72, and bus 73 connecting different system components (including memory 72 and processing unit 71).

[0120] Bus 73 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0121] Electronic devices typically include a variety of computer-readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, and removable and non-removable media.

[0122] Memory 72 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 721 and / or cache memory 722. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 723 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 7 Not shown; usually referred to as a "hard drive"). Although Figure 7 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 73 via one or more data media interfaces. Memory 72 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0123] A program / utility 724 having a set (at least one) of program modules 725 may be stored, for example, in memory 72. Such program modules 725 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 725 typically perform the functions and / or methods described in the embodiments of this application.

[0124] The electronic device can also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., network interface card, modem, etc.). This communication can be performed through input / output (I / O) interface 74. Furthermore, the electronic device can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 75. Figure 7 As shown, network adapter 75 communicates with other modules of the electronic device via bus 73. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0125] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0126] In summary, this application predicts the material level length of the shredder feeder over a future period based on the monitoring equipment's data on the bottom belt speed threshold and the material level length of the shredder feeder. It further identifies the risk of a full or empty feeder in the future. Based on an optimization function and data analysis, it derives the optimal bottom belt speed threshold and adaptively adjusts it according to this threshold using a mechanistic model. This achieves an effective closed-loop monitoring, prediction, and control of the leaf storage tank's discharge flow rate. Therefore, this application effectively overcomes the shortcomings of existing technologies and possesses high industrial application value.

[0127] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for controlling the discharge flow rate of a leaf storage tank, characterized in that, The method includes: Acquire monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder; the monitoring data includes: the operating speed valve value of the leaf storage cabinet bottom belt and the material level length value of the shredder feeder; The material level length value of the shredder feeder at the first preset time point is obtained based on the valve value of the running speed of the bottom belt of the leaf storage cabinet and the material level length value of the shredder feeder. Based on the material level length value of the shredder feeder at the first preset time point, the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period are obtained. The discharge flow rate of the leaf storage cabinet is regulated based on the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period.

2. The method for controlling the discharge flow rate of the leaf storage tank according to claim 1, characterized in that, The material level length value of the shredder at the first preset time point is obtained based on the valve value of the bottom belt running speed of the leaf storage cabinet and the material level length value of the shredder feeder, including: Obtain the linear relationship between the valve value of the bottom belt running speed of the leaf storage cabinet and the average change of the material level length of the shredder feeder per unit time; Input the operating speed valve value of the leaf storage cabinet bottom belt into the linear relationship to obtain the change value of the material level length of the shredder feeder at each time point within the first preset time period; The material level length of the shredder at each time point in the first preset time period is obtained by summing the change value of the material level length of the shredder at each time point in the first preset time period and the material level length value of the shredder at each time point.

3. The method for controlling the discharge flow rate of the leaf storage tank according to claim 2, characterized in that, Obtaining the linear relationship includes: Obtain historical values ​​of the operating speed valve at the bottom of the leaf storage cabinet and the material level length of the shredder feeder. Based on the historical operating speed valve value of the bottom belt of the leaf storage cabinet after cleaning and the historical material level length value of the shredder feeder, a scatter plot is drawn between the operating speed valve value of the bottom belt of the leaf storage cabinet and the average change of the material level length of the shredder feeder per unit time. The linear relationship is constructed based on the scatter plot; wherein the expression of the linear relationship is: Where L represents the material level length value of the shredder feeder. CV represents the average change in the length of the material level in the shredder feeder per unit time. SPEED The value of the valve representing the running speed of the leaf storage cabinet bottom belt is given, and a and b represent the intercept and coefficient of the linear relationship, respectively.

4. The method for controlling the discharge flow rate of the leaf storage tank according to claim 1, characterized in that, Before obtaining the second preset time period and the valve value of the running speed of the bottom belt of the leaf storage cabinet during the second preset time period, the method further includes: determining whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset conditions. If the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset condition, then continue to obtain the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period. Conversely, if the condition is not met, no acquisition will be performed, and the process will wait for the next round of judgment.

5. The method for controlling the discharge flow rate of the leaf storage tank according to claim 4, characterized in that, Determining whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value meets the preset conditions includes: Determine whether the material level length value of the shredder feeder at the first preset time point exceeds the upper limit value of the material level length of the shredder feeder; if so, continue to obtain the second preset time period and the running speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period. Conversely, it is determined whether the deviation between the material level length value of the shredder feeder at the first preset time point and the target value is less than the first preset deviation; if so, the second preset time period and the running speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period are obtained. Conversely, it is determined whether the deviation value is greater than the second preset deviation. If so, the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period are obtained; the second preset deviation is greater than the first preset deviation. Conversely, if the condition is not met, no acquisition will be performed, and the process will wait for the next round of judgment.

6. The method for controlling the discharge flow rate of a leaf storage tank according to claim 1, characterized in that, Based on the material level length value of the shredder feeder at the first preset time point, the second preset time period and the operating speed valve value of the bottom belt of the leaf storage cabinet during the second preset time period are obtained, including: Obtain the deviation between the material level length value of the shredder feeder at the first preset time point and the target value; The deviation value is input into the optimization function, and the deviation reduction is calculated by grid search under different combinations of time steps and the valve value of the bottom belt running speed of the leaf storage cabinet. The time step with the largest reduction in deviation and the valve value of the bottom belt running speed of the leaf storage cabinet are selected as the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period.

7. The method for controlling the discharge flow rate of a leaf storage tank according to claim 6, characterized in that, The optimization function is expressed as follows: s.t.1≤Δt≤q;CV 下限 ≤CV speed ≤CV 上限 in, and For parameter estimates, CV speed The value represents the valve value of the bottom belt running speed of the leaf storage cabinet to be solved, and bias represents the deviation between the material level length value of the shredder feeder at the first preset time point and the target value. denoted as _p_, where _p_ represents the step size of the first preset time period, _SP_ represents the target value, _Δt_ is the step size of the second preset time period to be acquired, and _CV_ is the value of the material level in the feeder. speed This represents the valve value of the bottom belt running speed of the leaf storage cabinet during the second preset time period to be solved.

8. A leaf storage tank discharge flow control system, characterized in that, The system includes: The acquisition module is used to acquire monitoring data of the material buffer section from the leaf storage cabinet to the shredder feeder; the monitoring data includes: the operating speed valve value of the leaf storage cabinet bottom belt and the material level length value of the shredder feeder; The first data processing module is used to obtain the material level length value of the shredder at a first preset time point based on the valve value of the running speed of the bottom belt of the leaf storage cabinet and the material level length value of the shredder feeder. The second data processing module is used to obtain the second preset time period and the valve value of the bottom belt running speed of the leaf storage cabinet based on the material level length value of the shredder at the first preset time point. The control module is used to regulate the discharge flow rate of the leaf storage cabinet based on the second preset time period and the valve value of the running speed of the bottom belt of the leaf storage cabinet during the second preset time period.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by an electronic device, the program implements the leaf storage tank discharge flow control method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, Including processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory to cause the electronic device to perform the leaf storage tank discharge flow control method according to any one of claims 1 to 7.

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