Method and system for controlling the frequency of the fan of a cut tobacco air-borne sorter to stabilize the amount of stem removed
By using real-time monitoring and data-driven frequency adjustment methods, the problem of unstable stem removal in the leaf filament air separator was solved, achieving stability of stem removal rate and improving production efficiency.
Patent Information
- Application Number
- CN202311740928.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-18
- Publication Date
- 2025-12-12
- Estimated Expiration
- 2043-12-18
AI Technical Summary
In traditional leaf-shred air separators, variations in the operating frequency of the fan lead to instability in the amount of stems removed, affecting the quality of tobacco and production efficiency.
By determining the optimal air separation operating frequency, real-time monitoring of moisture and flow rate before and after drying, calculation of stem removal rate, and using data stack comparison and frequency adjustment, a fan frequency error prevention limit is established to stabilize the stem removal rate.
It achieves accurate and timely removal of stems and twigs, reduces manual intervention, lowers production costs, and improves the efficiency and quality of tobacco processing.
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Figure CN117644039B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of tobacco processing, and particularly relates to a method and system for controlling the frequency of a leaf tobacco air separator fan to stabilize the amount of stem removal. BACKGROUND
[0002] In the production of tobacco products, the role of the leaf tobacco air separator is to separate stems or other unwanted impurities from the tobacco, and to screen out high-quality tobacco after drying, thereby ensuring the smooth progress of subsequent processes. Traditional leaf tobacco air separators usually use rotary fans to separate tobacco through air flow and mechanical vibration. However, in these traditional systems, changes in frequency (i.e., the operating speed of the leaf tobacco air separator fan) can cause the amount of stem removal to be unstable, which can affect the quality of the tobacco and production efficiency.
[0003] To solve the above problems, the tobacco industry has been seeking improved methods and systems to ensure that the operating frequency of the leaf tobacco air separator can be accurately controlled, thereby stabilizing the amount of stem removal. Some existing technologies have tried different control methods, including the use of sensors and feedback systems, but these methods can be limited by noise, accuracy, and implementation complexity.
[0004] Therefore, it is necessary to provide a more effective, accurate, and stable method and system for controlling the frequency of the leaf tobacco air separator fan in the leaf tobacco air separator, thereby ensuring a stable amount of stem removal and improving the efficiency and quality of the tobacco processing process. SUMMARY
[0005] The present application provides a method and system for controlling the frequency of a leaf tobacco air separator fan to stabilize the amount of stem removal, to solve the technical problems in the prior art.
[0006] The technical solution adopted by the present application is:
[0007] In a first aspect, the present application provides a method for controlling the frequency of a leaf tobacco air separator fan to stabilize the amount of stem removal, comprising:
[0008] determining the optimal air separation operating frequency of the leaf tobacco air separator for different tobacco brands before production;
[0009] obtaining the moisture content of the inlet before drying, the material flow, and the moisture content of the outlet after drying, and calculating the real-time flow rate of the dried tobacco per second; and
[0010] obtaining the real-time cumulative weight of the stem belt scale after air separation, and calculating the real-time stem removal rate in combination with the real-time cumulative weight of the dried tobacco;
[0011] comparing the real-time stem removal rate using a data stack;
[0012] Judge the size of the real-time stem rejection rate in the production process and the process index rejection rate, adjust the leaf tobacco air classification fan frequency;
[0013] Establish the stem rejection rate of the leaf tobacco air classifier fan frequency error limit to stabilize the stem rejection rate of the leaf tobacco air classifier.
[0014] Further, for different tobacco cards, collect and count the manual adjustment of the first and second air classifiers of the leaf tobacco air classifier, and put the first and second air classifiers of the leaf tobacco air classifier into the first and second air classifiers, and determine the best fan frequency of the first and second air classifiers through correction.
[0015] Further, the formula for calculating the real-time flow rate of cut tobacco per second is: Q2=(Q1-(Q1*(H1 / 100)-Q1*(H2 / 100)) / 3600, wherein Q1 is the actual flow rate of the electronic belt scale before cutting, H1 is the actual value of the inlet moisture meter before cutting, and H2 is the actual value of the outlet moisture meter after cutting.
[0016] Further, when the actual value of the outlet moisture meter after cutting H2≥8%, the real-time flow rate of cut tobacco per second Q2 is accumulated in real time, and the cumulative weight of cut tobacco W1 is obtained.
[0017] Further, the stem belt scale is arranged at the stem outlet of the second air classifier of the leaf tobacco air classifier, and the stem belt scale measures the weight of the stem W2 in real time, obtains the weight of W1 and W2, and calculates the stem rejection rate R=W2 / W1*100%.
[0018] Further, the real-time comparison of the stem rejection rate using the data stack includes: collecting the stem rejection rate R every second, storing R in a data stack with a length of 100, and comparing the 60th data T1 and the 90th data T2.
[0019] Further, the adjustment of the leaf tobacco air classification fan frequency includes:
[0020] When R> upper limit of process standard, T2≤T1, V2 increases by a set frequency every minute;
[0021] When R< lower limit of process standard, T2>T1, V2 decreases by a set frequency every minute;
[0022] When R> upper limit of process standard, T2≤T1, V1 increases by a set frequency every two minutes;
[0023] When R< lower limit of process standard, T2>T1, V1 decreases by a set frequency every two minutes.
[0024] Further, the set frequency is 0.1HZ.
[0025] In a second aspect, the present application provides a system for controlling the frequency of a tobacco strand air separator to stabilize the amount of stem removed, comprising: an electronic belt scale before tobacco drying, a first vibrating trough, a temperature and humidity increasing machine, a second vibrating trough, a tobacco dryer, a third vibrating trough, a conveyor belt, and a tobacco strand air separator, wherein the electronic belt scale before tobacco drying is provided with a moisture meter before the tobacco drying inlet, the third vibrating trough is provided with a moisture meter after the tobacco drying outlet, the tobacco strand air separator comprises a first level air separator and a second level air separator, and a stem belt scale is arranged at the stem outlet of the second level air separator of the tobacco strand air separator; and the system realizes the stable control of the amount of stem removed by the method of the first aspect.
[0026] In a third aspect, the present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to realize the method for controlling the frequency of a tobacco strand air separator to stabilize the amount of stem removed according to the first aspect.
[0027] The present application has the following beneficial effects: the present application obtains the weight of the tobacco after drying through the change of the moisture before and after the tobacco drying, obtains the weight of the stem scale, calculates the stem removal rate, compares the stem removal rate with the process index, and adjusts the frequency of the first level and second level air separators by using the data stack. The method can reduce manual intervention, monitor the stem removal rate in real time, more accurately and timely respond to the changes of the production environment and raw materials, effectively control the tobacco content of the stem, and reduce the production cost. BRIEF DESCRIPTION OF DRAWINGS
[0028] Figure 1 FIG. 1 is a flowchart of the method for controlling the frequency of a tobacco strand air separator to stabilize the amount of stem removed according to the first embodiment of the present application;
[0029] Figure 2 FIG. 2 is a structural block diagram of the system for controlling the frequency of a tobacco strand air separator to stabilize the amount of stem removed according to the second embodiment of the present application.
[0030] FIG. 1 is a flowchart of the method for controlling the frequency of a tobacco strand air separator to stabilize the amount of stem removed according to the first embodiment of the present application; DETAILED DESCRIPTION
[0031] In the following description, specific details are set forth such as particular system configurations, techniques, etc., in order to provide a thorough understanding of the present application. However, persons skilled in the art will understand that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
[0032] It should be understood that the word “comprising” when used in this specification and appended claims specifies the presence of stated features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.
[0033] It should also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used in this specification and the appended claims, the singular forms “a,” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise.
[0034] As used in this specification and the appended claims, the term “if’ can be construed to mean “when” or “once” or “in response to a determination” or “in response to the occurrence of” that follows, depending on the context.
[0035] Embodiment 1:
[0036] Figure 1 A flowchart of a method for controlling the frequency of a tobacco leaf air separator fan to stabilize the amount of stem and leaf removed is shown. The method includes:
[0037] S1: Determine the optimal air separation operating frequency of the leaf air separator for different tobacco grades before production.
[0038] Specifically, for different tobacco grades, collect and statistically analyze the manually adjusted first air separator frequency V1 and second air separator frequency V2 of the leaf air separator. Replace the manual experience value with the first air separator and second air separator of the leaf air separator, and determine the optimal fan frequency of the first air separator and second air separator through correction to enable the system to be adjusted in the optimal state.
[0039] Taking A tobacco grade as an example, the leaf air separation process index is: stem and leaf removal rate % ≥ 1.0, and the content of qualified leaf in the removed material is (5-15) %. Before production, collect and statistically analyze the adjustment of the first and second air separator frequencies V1 and V2 under manual operation, replace the experience value with the leaf air separator under A grade, and determine the optimal fan frequency of the first air separator and the optimal fan frequency of the second air separator. As an optimization, the fan frequency of V1 before production is 40.2 HZ, and the fan frequency of V2 before production is 31.8 HZ.
[0040] S2: obtaining the moisture before drying, the material flow, the moisture after drying, and calculating the real-time flow of the dried tobacco per second; real-time accumulation of the real-time flow of the dried tobacco per second is performed to obtain the real-time cumulative weight of the dried tobacco.
[0041] Specifically, after the full line is started, the electronic belt scale before drying has a flow, the actual flow Q1 of the electronic belt scale before drying is obtained, the actual value H1 of the moisture meter before drying is obtained, and the actual value H2 of the moisture meter after drying is obtained; as an optimization, when the actual value H2 of the moisture meter after drying is greater than or equal to 8%, the real-time flow Q2 of the dried tobacco per second is calculated as (Q1-(Q1*(H1 / 100)-Q1*(H2 / 100)) / 3600, and the real-time flow Q2 of the dried tobacco per second is real-time accumulated to obtain the real-time cumulative weight W1 of the dried tobacco. It should be noted that when the actual value H2 of the moisture meter after drying is less than 8%, the amount of tobacco is small, the moisture is low, and the weight of the material is light, and if the tobacco is passed through the leaf tobacco air separator, the tobacco is easy to flow into the next process, so the tobacco is not air separated when H2<8%, and Q2 does not need to be calculated at this time.
[0042] S3: obtaining the real-time cumulative weight of the stem and leaf separator, and calculating the real-time stem and leaf removal rate in combination with the real-time cumulative weight of the dried tobacco.
[0043] Specifically, the stem and leaf separator is arranged at the stem and leaf outlet of the secondary air separator of the leaf tobacco air separator, the stem and leaf separator real-time measures the weight W2 of the stem and leaf, the weights of W1 and W2 are obtained, and the stem and leaf removal rate R is calculated as W2 / W1*100%.
[0044] S4: real-time comparison of the stem and leaf removal rate using a data stack.
[0045] Specifically, the stem and leaf removal rate R is collected once per second, and R is stored in a data stack with a length of 100. As an optimization, the 60th data T1 and the 90th data T2 are taken for comparison. It should be noted that using the data stack and adopting the first-in-first-out principle, the change in the removal rate R can be timely reflected, and whether the frequency is adjusted in place. Because the material itself or environmental factors affect the stem and leaf removal rate of the leaf tobacco air separator at all times, in order to increase the stability and timeliness of the system, it is found through experiments that the comparison of the 60th data and the 90th data has the best effect.
[0046] S5: judging the size of the real-time stem and leaf removal rate in the production process and the process index removal rate, and adjusting the frequency of the leaf tobacco air separator.
[0047] Specifically, the adjustment of the frequency of the leaf tobacco air separator includes:
[0048] The preferred process upper limit is 120% of the process lower limit, wherein,
[0049] When R > 1.2, T2≤T1, V2 increases 0.1HZ per minute;
[0050] When R < 1.0, T2>T1, V2 decreases 0.1HZ per minute;
[0051] When R > 1.2, T2≤T1, V1 increases 0.1HZ per two minutes;
[0052] When R < 1.0, T2>T1, V1 decreases 0.1HZ per two minutes.
[0053] It should be noted that the stem signature rejection rate is more sensitive to the fan frequency adjustment of the cut tobacco air classifier, and through experimental testing, the fan frequency adjustment 0.1HZ is the best for the stem signature rejection effect. For example, the current T1=1.35 and T2=1.29 of A brand, which indicates that the current fan frequency is too small and needs to be increased. After a period of time, T1=1.28 and T2=1.31, which indicates that the adjustment is in place and the current fan frequency will be maintained.
[0054] S6: Establishing the fan frequency error-proof limit of the cut tobacco air classifier to stabilize the stem signature rejection rate of the cut tobacco air classifier.
[0055] Specifically, the fan frequency error-proof limit of the cut tobacco air classifier is established, and the error-proof limit is the upper and lower limits of the frequency. This parameter needs to be set in combination with the manual adjustment experience value and experimental data, mainly to prevent the fan frequency adjustment from being too large, resulting in too much stem signature tobacco content being rejected, and to stabilize the stem signature rejection rate of the cut tobacco air classifier. As an optimization, the upper limit of the V1 fan frequency is 40.8HZ, and the lower limit is 39.6HZ. The upper limit of the V2 fan frequency is 33HZ, and the lower limit is 30.6HZ.
[0056] The present application obtains the weight after drying by the change of the moisture content of cut tobacco before and after drying, then obtains the weight of the stem signature scale, calculates the stem signature rejection rate, compares it with the process index, and adjusts the frequency of the primary and secondary air classifiers by using data stacking. This method can reduce the manual intervention of cut tobacco air classification, real-time monitor the stem signature rejection rate, more accurately and timely respond to changes in production environment and raw materials, effectively control the stem signature content rate, and reduce production costs. After using the method of the present application, the stem signature rejection rate is reduced from 1.5% to 1.12%, and the stem signature content rate is reduced from 14.8% to 6.81%.
[0057] Example 2:
[0058] Figure 2The structural block diagram of the system for controlling the frequency of the fan of a cut tobacco air separator to stabilize the amount of stem removed is shown, comprising: a pre-cutting electronic belt scale 1, a first vibrating trough 2, a temperature and humidity increasing machine 3, a second vibrating trough 4, a cut tobacco machine 5, a third vibrating trough 6, a conveying belt 7, and a cut tobacco air separator 8 connected in sequence, wherein a pre-cutting inlet moisture meter 9 is arranged above the pre-cutting electronic belt scale 1, a post-cutting outlet moisture meter 10 is arranged above the third vibrating trough 6, the cut tobacco air separator 8 comprises a primary air separator and a secondary air separator, and a stem belt scale 11 is arranged at the stem outlet of the secondary air separator of the cut tobacco air separator 8; the system realizes stable control of the amount of stem removed by the method described in Embodiment 1.
[0059] Embodiment 3
[0060] The embodiment provides a storage medium containing computer executable instructions, which, when executed by a computer processor, are used to execute the method for controlling the frequency of the fan of a cut tobacco air separator to stabilize the amount of stem removed described in Embodiment 1.
[0061] The computer storage medium of the embodiment can adopt any combination of one or more computer readable media. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may, for example, be but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination thereof. More specific examples (non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, device or apparatus.
[0062] The computer readable signal medium can include a data signal propagated in a baseband or as a part of a carrier wave, in which a computer readable program code is carried. Such a propagated data signal can take various forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination thereof. The computer readable signal medium can also be any computer readable medium that is not a computer readable storage medium and that can transmit, propagate or transport a program for use by or in connection with an instruction execution system, device or apparatus.
[0063] The computer readable media on which the program code can be carried can be any appropriate media including, but not limited to, wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
[0064] Computer program code for carrying out operations of embodiments of the present application can be written in any suitable programming language including object oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as the "C" programming language, or the like, combinations of which can also be used. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).
[0065] The above embodiments are only used to illustrate the technical solutions of the present application, not limit the present application; even though the present application has been described in detail with reference to the foregoing embodiments, those ordinarily skilled in the art should understand: the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced equivalently; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method of controlling the amount of stem punji rejection from a cut tobacco aero-bed by stabilizing the frequency of the aero-bed fan, characterized by, The method comprises the following steps: Determine the optimal wind selection operation frequency of the leaf tobacco wind selector for different tobacco brands before production; Obtain the moisture content before entering the drying section, the material flow, and the moisture content after exiting the drying section, and calculate the real-time flow of the dried tobacco per second; accumulate the real-time flow of the dried tobacco per second in real time to obtain the real-time cumulative weight of the dried tobacco; Obtain the real-time cumulative weight of the stem and leaf belt scale after the wind selection, and calculate the real-time stem and leaf removal rate in combination with the real-time cumulative weight of the dried tobacco; Use the data stack to compare the real-time stem and leaf removal rate; The use of the data stack to compare the real-time stem and leaf removal rate comprises: collecting the stem and leaf removal rate R once per second, storing R in a data stack with a length of 100, and comparing the 60th data T1 and the 90th data T2, respectively; Determine the size of the real-time stem and leaf removal rate in the production process and the process index removal rate, and adjust the frequency of the leaf tobacco wind selector; The adjustment of the frequency of the leaf tobacco wind selector comprises: When R> the upper limit of the process standard, and T2≤T1, increase V2 by a set frequency every minute; When R< the lower limit of the process standard, and T2>T1, decrease V2 by a set frequency every minute; When R> the upper limit of the process standard, and T2≤T1, increase V1 by a set frequency every two minutes; When R< the lower limit of the process standard, and T2>T1, decrease V1 by a set frequency every two minutes; Establish a wind fan frequency error limit for the leaf tobacco wind selector to stabilize the stem and leaf removal rate of the leaf tobacco wind selector.
2. The method of claim 1, wherein, For different tobacco brands, collect and count the first-stage wind selection machine frequency V1 and the second-stage wind selection machine frequency V2 adjusted by manual, and input the frequencies into the first-stage wind selection machine and the second-stage wind selection machine of the leaf tobacco wind selector to determine the optimal wind fan frequency of the first-stage wind selection machine and the second-stage wind selection machine through rectification.
3. The method of claim 2, wherein, The formula for calculating the real-time flow of the dried tobacco per second is Q2= (Q1- (Q1*(H1 / 100)-Q1*(H2 / 100))) / 3600, wherein Q1 is the actual flow of the electronic belt scale before the drying section, H1 is the actual value of the moisture meter before the drying section, and H2 is the actual value of the moisture meter after the drying section.
4. The method of claim 3, wherein, When the actual value H2 of the moisture meter after the drying section is greater than or equal to 8%, the real-time flow of the dried tobacco per second Q2 is accumulated in real time to obtain the cumulative weight W1 of the dried tobacco.
5. The method of claim 4, wherein, The stem and leaf belt scale is arranged at the stem and leaf outlet of the second-stage wind selection machine of the leaf tobacco wind selector, the stem and leaf belt scale measures the weight W2 of the stem and leaf in real time, and the weights W1 and W2 are obtained to calculate the stem and leaf removal rate R=W2 / W1*100%.
6. The method of claim 1, wherein, The set frequency is 0.1 HZ.
7. A system for controlling the amount of stem punji rejection by stabilizing the frequency of the fan of a tobacco leaf aerober, comprising: The method comprises the following steps: The system comprises, in sequence, an electronic belt scale before the drying section, a first vibrating chute, a temperature and humidity increasing machine, a second vibrating chute, a drying machine, a third vibrating chute, a conveying belt, and a leaf tobacco wind selector, a moisture meter before the drying section is arranged above the electronic belt scale before the drying section, a moisture meter after the drying section is arranged above the third vibrating chute, the leaf tobacco wind selector comprises a first-stage wind selection machine and a second-stage wind selection machine, and a stem and leaf belt scale is arranged at the stem and leaf outlet of the second-stage wind selection machine of the leaf tobacco wind selector; the system realizes stable control of the stem and leaf removal amount by the method of any one of claims 1-6.
8. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by a processor to realize the method of controlling the frequency of the wind fan of the leaf tobacco wind selector to stabilize the stem and leaf removal amount according to any one of claims 1-6.
Citation Information
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