Intelligent dust removal control system, method and device for threshing and redrying production and medium

Abstract

The present disclosure relates to a threshing and redrying production intelligent dust removal control system, method, device and medium, and relates to the technical field of dust removal. The method comprises: detecting a pressure difference by using a differential pressure instrument; comparing the pressure difference with a pressure difference threshold value to obtain a first comparison result; and adjusting a bagging time and a bagging frequency based on the first comparison result. In the present disclosure, the bagging frequency of each dust remover can be automatically adjusted, so that the dust removal effect is improved while the power consumption is reduced. At the same time, the present disclosure can reduce the risk of pipeline blockage.

Description

Technical Field

[0001] This disclosure relates to the field of dust removal technology, and in particular to an intelligent dust removal control system, method, device and medium for leaf re-drying production. Background Technology

[0002] In the re-drying production workshop, each leaf-beating dust collector in the primary dust removal room is connected to different areas of the leaf-beating production line. The amount of dust generated in each area varies, resulting in different workloads for each dust collector. Traditional leaf-beating dust collection systems cannot automatically adjust the bag-beating frequency and cycle based on the amount of dust in each collector; all dust collectors have uniform parameter settings and cannot be individually configured. If the same bag-beating frequency and cycle are used, setting them too short will not be necessary for collectors with low dust levels, leading to increased energy consumption; setting them too long will result in poor dust removal efficiency for collectors with high dust levels.

[0003] With only one fan connected to the main dust conveying duct, the amount of dust generated increases dramatically during the concentrated bagging at the end of each day's production, resulting in a large instantaneous dust volume in the duct. Relying on the existing single fan for dust extraction at this time easily leads to blockage of the dust conveying duct. Furthermore, the amount of dust generated varies depending on the grade of tobacco produced, especially during the production of lower-grade tobacco, where the dust volume is higher, further increasing the risk of duct blockage. Summary of the Invention

[0004] The purpose of this disclosure is to provide an intelligent dust removal control system, method, apparatus, and medium for leaf re-drying production to solve the aforementioned technical problems.

[0005] According to a first aspect of this disclosure, an intelligent dust removal system for leaf-trimming and re-drying production is provided, comprising: a centralized dust collection pipeline; multiple leaf-trimming dust collectors connected to the centralized dust collection pipeline, each leaf-trimming dust collector being equipped with a differential pressure gauge and a leaf-trimming dust removal fan connected to it; an anemometer disposed on the centralized dust collection pipeline for detecting the wind speed on the centralized dust collection pipeline; a centralized dust collector connected to one end of the centralized dust collection pipeline; a centralized dust removal fan connected to the centralized dust collector via a first pipeline; a compensating fan connected to the first pipeline via a second pipeline, the second pipeline containing a second angle actuator; a third pipeline connected to the second pipeline located between the second angle actuator and the compensating fan, the third pipeline containing a first angle actuator; a host control system; the leaf-trimming dust collectors being electrically connected to the host control system; the differential pressure gauge being electrically connected to the host control system; the anemometer being electrically connected to the host control system; the first angle actuator being electrically connected to the host control system; and the second angle actuator being electrically connected to the host control system.

[0006] According to a second aspect of this disclosure, an intelligent dust control method for leaf re-drying production is provided. The method is implemented using the aforementioned intelligent dust control system for leaf re-drying production. The method includes: detecting differential pressure using a differential pressure gauge; comparing the differential pressure with a differential pressure threshold to obtain a first comparison result; and adjusting the bagging time and bagging frequency based on the first comparison result.

[0007] In some embodiments, the first comparison result is that the pressure difference is greater than 1000 Pa; adjusting the bagging time and bagging frequency based on the first comparison result includes: when the pressure difference is greater than 1000 Pa, increasing the bagging time and bagging frequency.

[0008] In some embodiments, the first comparison result is that the pressure difference is less than 800 Pa; adjusting the bagging time and bagging frequency based on the first comparison result includes: when the pressure difference is less than 800 Pa, reducing the bagging time and bagging frequency.

[0009] In some embodiments, after adjusting the bagging time and bagging frequency based on the comparison result, the method further includes: detecting the wind speed of the centralized dust collection pipeline using an anemometer; comparing the wind speed with a wind speed threshold to obtain a second comparison result; and adjusting the first angle actuator and the second angle actuator based on the second comparison result.

[0010] In some embodiments, the second comparison result is that the wind speed is less than 15 m / s; the adjustment of the first angle actuator and the second angle actuator based on the second comparison result includes: when the wind speed is less than 15 m / s, turning off the first angle actuator and turning on the second angle actuator.

[0011] In some embodiments, the second comparison result is that the wind speed is higher than 17 m / s; the adjustment of the first angle actuator and the second angle actuator based on the second comparison result includes: when the wind speed is higher than 17 m / s, opening the first angle actuator and closing the second angle actuator.

[0012] According to a third aspect of this disclosure, an intelligent dust control device for leaf re-drying production is provided, comprising: a detection module for detecting differential pressure using a differential pressure meter; a comparison module for comparing the differential pressure with a differential pressure threshold to obtain a first comparison result; and an adjustment module for adjusting the bagging time and bagging frequency based on the first comparison result.

[0013] According to a fourth aspect of this disclosure, an intelligent dust control device for leaf re-drying production is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute the intelligent dust control method for leaf re-drying production as described above based on instructions stored in the memory.

[0014] According to a fifth aspect of this disclosure, a computer-storeable medium is provided having computer program instructions stored thereon, which, when executed by a processor, implement the intelligent dust removal control method for leaf re-drying production as described above.

[0015] By adopting the above technical solution, the embodiments of this disclosure can achieve the following beneficial technical effects: In this disclosure, the bag-clogging frequency of each dust collector can be automatically adjusted, thereby improving the dust removal effect while reducing power consumption. At the same time, this disclosure can reduce the risk of pipeline blockage. Attached Figure Description

[0016] The accompanying drawings, which form part of this specification, illustrate embodiments of this disclosure and, together with the specification, serve to explain the principles of this disclosure.

[0017] This disclosure can be more clearly understood with reference to the accompanying drawings and the following detailed description.

[0018] Figure 1 This is a flowchart illustrating an intelligent dust control method for leaf re-drying production according to some embodiments of the present disclosure.

[0019] Figure 2 This is an architectural diagram illustrating an intelligent dust removal control system for leaf re-drying production according to some embodiments of the present disclosure.

[0020] Figure 3 This is a flowchart illustrating a bag-making frequency adjustment method according to some embodiments of the present disclosure.

[0021] Figure 4 This is a block diagram illustrating an intelligent dust control device for leaf re-drying production according to some embodiments of the present disclosure.

[0022] Figure 5 This is a block diagram illustrating an intelligent dust control device for leaf re-drying production according to other embodiments of the present disclosure.

[0023] Figure 6 This is a block diagram illustrating a computer system for implementing some embodiments of the present disclosure.

[0024] In the picture: 1. Compensating fan; 2. First angle actuator; 3. Second angle actuator; 4. Centralized dust collection fan; 5. Centralized dust collector; 6. Anemometer; 7. Differential pressure gauge; 8. Leaf-cutting dust collector; 9. Leaf-trimming and dust-removing fan; 10. Centralized dust collection pipeline. Detailed Implementation

[0025] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present disclosure.

[0026] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0027] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use.

[0028] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0029] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0030] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0031] Currently, in the primary dust removal room of the re-drying production workshop, each leaf-beating dust collector is connected to different areas of the leaf-beating production line. The amount of dust generated in each area varies, resulting in different workloads for each dust collector. Traditional leaf-beating dust collection systems cannot automatically adjust the bag-beating frequency and cycle based on the amount of dust in each collector; all dust collectors have uniform parameter settings and cannot be individually configured. If the same bag-beating frequency and cycle are used, setting them too short will not be necessary for collectors with low dust levels, leading to increased energy consumption; setting them too long will result in poor dust removal efficiency for collectors with high dust levels.

[0032] With only one fan connected to the main dust conveying duct, the amount of dust generated increases dramatically during the concentrated bagging at the end of each day's production, resulting in a large instantaneous dust volume in the duct. Relying on the existing single fan for dust extraction at this time easily leads to blockage of the dust conveying duct. Furthermore, the amount of dust generated varies depending on the grade of tobacco produced, especially during the production of lower-grade tobacco, where the dust volume is higher, further increasing the risk of duct blockage.

[0033] In view of this, this disclosure proposes an intelligent dust removal control system, method, device, and medium for leaf re-drying production. In this disclosure, the bag-clogging frequency of each dust collector can be automatically adjusted, thereby improving dust removal efficiency while reducing power consumption. Simultaneously, this disclosure reduces the risk of pipeline blockage.

[0034] Figure 1 This is a flowchart illustrating an intelligent dust control method for leaf re-drying production according to some embodiments of the present disclosure. Figure 1 As shown, the intelligent dust control method for leaf re-drying production includes steps 110 to 130.

[0035] In step 110, the differential pressure is detected using a differential pressure gauge. In step 120, the differential pressure is compared with a differential pressure threshold to obtain a first comparison result. In step 130, the bagging time and bagging frequency are adjusted based on the first comparison result.

[0036] like Figure 2 As shown, the intelligent dust removal control system for leaf-picking and re-drying production includes: a centralized dust collection pipeline 10; multiple leaf-picking dust collectors 8 connected to the centralized dust collection pipeline 10, each leaf-picking dust collector 8 equipped with a differential pressure gauge 7 and a leaf-picking dust removal fan 9 connected to it; an anemometer 6 installed on the centralized dust collection pipeline 10 for detecting the wind speed on the pipeline 10; a centralized dust collector 5 connected to one end of the centralized dust collection pipeline 10; a centralized dust removal fan 4 connected to the centralized dust collector 5 via a first pipeline; and a fan connected to the first pipeline via a second pipeline. A compensating fan 1 is connected to the second pipe, and a second angle actuator 3 is installed in the second pipe; a third pipe is connected to the second pipe located between the second angle actuator 3 and the compensating fan 1, and a first angle actuator 2 is installed in the third pipe; a host control system; the leaf-beating dust collector 8 is electrically connected to the host control system; the differential pressure gauge 7 is electrically connected to the host control system; the anemometer 6 is electrically connected to the host control system; the first angle actuator 2 is electrically connected to the host control system, and the second angle actuator 3 is electrically connected to the host control system.

[0037] A differential pressure gauge is installed on each leaf-splitting dust collector, transmitting real-time measurements to the PLC control system. The intelligent control program calculates these measurements and automatically adjusts the bag-splitting frequency of each dust collector, improving dust removal efficiency while reducing power consumption. Simultaneously, an anemometer in the conveyor duct monitors the real-time airflow velocity, sending this data to the PLC control system. The intelligent control program then calculates and controls the addition and disconnection of the compensating fan, reducing the risk of duct blockage.

[0038] Each dust collector connects to different dust collection points in the workshop and is equipped with a differential pressure gauge. The measured values ​​from the differential pressure gauge are fed back to the upper control system to automatically adjust the bag-packing time and frequency. An anemometer is installed on the conveying pipeline to detect the air velocity in the pipeline. The compensating fan has two damper controllers, which control the switch to apply compensation when the air velocity changes.

[0039] Each dust collector connects to different dust collection points in the workshop. Each dust collector is equipped with a differential pressure gauge. The readings from these gauges are fed back to the upper-level control system, which uses an intelligent calculation program to automatically adjust the bag-packing time and frequency. When the differential pressure reading exceeds 1000 Pa, the bag-packing time and frequency are increased; when the reading is less than 800 Pa, the bag-packing time and frequency are decreased. An anemometer is installed on the conveying pipeline to detect the air velocity. When the air velocity drops below 15 m / s, the first actuator closes, the second actuator opens, and the compensating fan starts. When the air velocity rises above 17 m / s, the first actuator opens, the second actuator closes, the compensating fan stops, and the system stops operating.

[0040] Meanwhile, the upper-level system can connect to the daily production data, build a calculation model based on the input material output ratio, calculate the amount of ash generated at each dust removal point on that day, and combine the differential pressure gauge data and wind speed detector data for comprehensive analysis to adjust the bag-closing time and frequency of each dust collector.

[0041] like Figure 3 As shown, the differential pressure gauge reading reflects the dust collector's cleaning status. Assume the initial bag-closing frequency at the factory is f0, and the initial state is a, with an initial value of a=0. The differential pressure gauge's time value is represented by Si, and the system takes the differential pressure value every hour. A judgment condition is set: if Si ≥ 1100 Pa, a = a + 1; if Si ≥ 1000 Pa, the differential pressure is considered too high. The number of times the differential pressure is too high is accumulated to determine whether the bag-closing frequency needs adjustment. If a equals n, it means that with a bag-closing frequency of f0, there are n instances of a differential pressure greater than 1100 Pa, requiring optimization of the bag-closing frequency by reducing it by 1 second each time, f0 = f0 - 1. The value of n can be set empirically. For example, assuming n == 5, it means that there are 5 consecutive instances of a differential pressure greater than 1000 Pa, requiring optimization of the bag-closing frequency by reducing it by 1 second each time, f0 = f0 - 1. When a == 5 occurs, the initial value a=0 is reset, and the accumulation restarts.

[0042] If Si < 800 Pa, trigger the timing function t; otherwise, t = 0. If t ≥ t0, it means that at the bag-closing frequency f0, the pressure difference of the dust collector is less than 800 Pa for more than t0 minutes continuously, and the bag-closing frequency needs to be optimized by extending it by 1 second each time, f0 = f0 + 1. Here, t0 can be set based on experience. Assuming t0 == 36000 s, it means that Si < 800 Pa for 10 hours or more, and the bag-closing frequency needs to be optimized by extending it by 1 second each time, f0 = f0 + 1. When t = 36000 s, reset the initial value t = 0. Through the above algorithm, the optimal bag-closing frequency f for each part of the dust collector can be found.

[0043] In the intelligent dust removal control method for leaf re-drying production according to the embodiments of this disclosure, the bag-clogging frequency of each dust collector can be automatically adjusted, thereby improving the dust removal effect while reducing power consumption. At the same time, this disclosure can reduce the risk of pipeline blockage.

[0044] Figure 4 This is a block diagram illustrating an intelligent dust removal control device for leaf re-drying production according to some embodiments of the present disclosure. Figure 4 As shown, the intelligent dust control device 400 for leaf re-drying production includes a detection module 410, a comparison module 420, and an adjustment module.

[0045] Detection module 410 is used to detect differential pressure using a differential pressure gauge; The comparison module 420 is used to compare the pressure difference with the pressure difference threshold to obtain a first comparison result; The adjustment module 430 is used to adjust the bagging time and bagging frequency based on the first comparison result.

[0046] In the apparatus of this disclosure embodiment, the bag-clogging frequency of each dust collector can be automatically adjusted, thereby improving the dust removal effect while reducing power consumption. Simultaneously, this disclosure reduces the risk of pipe blockage.

[0047] Figure 5 This is a block diagram illustrating an intelligent dust control device for leaf re-drying production according to other embodiments of the present disclosure.

[0048] like Figure 5 As shown, the intelligent dust control device 500 for leaf re-drying production includes a memory 510 and a processor 520 coupled to the memory 510. The memory 510 is used to store instructions for executing embodiments of the intelligent dust control method for leaf re-drying production. The processor 520 is configured to execute the intelligent dust control method for leaf re-drying production in any of the embodiments of this disclosure based on the instructions stored in the memory 510.

[0049] Figure 6 This is a block diagram illustrating a computer system for implementing some embodiments of the present disclosure. Figure 6 As shown, the computer system 600 can be represented in the form of a general computing device. The computer system 600 includes a memory 610, a processor 620, and a bus 630 connecting different system components.

[0050] The memory 610 may include, for example, system memory, non-volatile storage media, etc. The system memory may store, for example, an operating system, application programs, a boot loader, and other programs. The system memory may include volatile storage media, such as random access memory (RAM) and / or cache memory. The non-volatile storage media may store, for example, instructions for executing at least one of the corresponding embodiments of the intelligent dust removal control method for leaf re-drying production. Non-volatile storage media include, but are not limited to, disk storage, optical storage, flash memory, etc.

[0051] The processor 620 can be implemented using a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete hardware components such as discrete gates or transistors. Accordingly, each module, such as the detection module, the comparison module, and the adjustment module, can be implemented by executing instructions in the central processing unit (CPU) running memory to perform the corresponding steps, or by implementing dedicated circuits that perform the corresponding steps.

[0052] Bus 630 can use any of the various bus architectures. For example, bus architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, and Peripheral Component Interconnect (PCI) bus.

[0053] The computer system 600 may also include an input / output interface 640, a network interface 650, and a storage interface 660. These interfaces 640, 650, and 660, as well as the memory 610 and processor 620, can be connected via a bus 630. The input / output interface 640 provides a connection interface for input / output devices such as a monitor, mouse, and keyboard. The network interface 650 provides a connection interface for various networked devices. The storage interface 660 provides a connection interface for external storage devices such as floppy disks, USB flash drives, and SD cards.

[0054] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations thereof, can be implemented by computer-readable program instructions.

[0055] These computer-readable program instructions are provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable device to produce a machine, such that execution of the instructions by the processor produces means for implementing the functions specified in one or more boxes of the flowchart and / or block diagram.

[0056] These computer-readable program instructions may also be stored in a computer-readable storage medium. These instructions cause a computer to work in a particular manner to produce an article of manufacture, including instructions that implement the functions specified in one or more boxes in a flowchart and / or block diagram.

[0057] This disclosure may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.

[0058] This disclosure allows for the automatic adjustment of the bag-clogging frequency of each dust collector, thereby improving dust removal efficiency while reducing power consumption. Furthermore, this disclosure reduces the risk of pipe blockage.

[0059] This concludes the detailed description of the intelligent dust control method, apparatus, and medium for leaf re-drying production according to this disclosure. To avoid obscuring the concept of this disclosure, some details known in the art have not been described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein based on the above description.

[0060] While specific embodiments of this disclosure have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of this disclosure. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of this disclosure. The scope of this disclosure is defined by the appended claims.

Claims

1. A control method for an intelligent dust removal control system in leaf re-drying production, characterized in that, The system includes: Centralized dust collection pipeline; Multiple leaf-trimming dust collectors are connected to the centralized dust collection pipeline. Each leaf-trimming dust collector is equipped with a differential pressure gauge and a leaf-trimming dust collector fan is connected to it. An anemometer installed on the centralized dust collection duct and used to detect the wind speed on the centralized dust collection duct; A centralized dust collector connected to one end of the centralized dust collection pipeline; A centralized dust collector fan connected to the centralized dust collector via a first pipe; A compensating fan is connected to the first pipe via a second pipe, and a second angle actuator is installed inside the second pipe; A third pipe is connected to a second pipe located between the second angle actuator and the compensation fan, and the first angle actuator is installed in the third pipe; Upper control system; The leaf-trimming dust collector is electrically connected to the upper-level control system; the differential pressure gauge is electrically connected to the upper-level control system; the anemometer is electrically connected to the upper-level control system; the first angle actuator is electrically connected to the upper-level control system; and the second angle actuator is electrically connected to the upper-level control system. Differential pressure is detected using a differential pressure gauge; The pressure difference is compared with the pressure difference threshold to obtain the first comparison result; Adjust the bagging time and frequency based on the first comparison result; The process, after adjusting the bagging time and frequency based on the first comparison result, further includes: An anemometer was used to detect the wind speed in the centralized dust collection duct. The wind speed is compared with the wind speed threshold to obtain a second comparison result; Adjust the first and second angle actuators based on the second comparison result; The adjustment of the first angle actuator and the second angle actuator based on the second comparison result includes: When the wind speed is below 15 m / s, the first angle actuator is turned off and the second angle actuator is turned on. The adjustment of the first angle actuator and the second angle actuator based on the second comparison result includes: When the wind speed is higher than 17 m / s, the first angle actuator is opened and the second angle actuator is closed. The initial bagging frequency of the equipment at the factory is f0, and the initial state is a, with an initial value of a=0. The time value of the differential pressure meter is represented by Si, and the system takes the differential pressure value every hour. A judgment condition is set: if Si≥1000pa, the value of a is incremented by 1; if Si≥1000pa, it is judged that the differential pressure is too large, and the number of times the differential pressure is too large is accumulated to determine whether the bagging frequency needs to be adjusted. If a equals n, it means that when the bagging frequency is f0, there are n instances of differential pressure greater than 1000pa, and the bagging frequency needs to be optimized, with the bagging frequency reduced by 1 second each time. If n==5, it means that there are 5 consecutive instances of differential pressure greater than 1000pa, and the bagging frequency needs to be optimized, with the bagging frequency reduced by 1 second each time. When a==5 occurs, the initial value of a=0 is reset, and the accumulation is restarted. If Si < 800 Pa, trigger the timing function t; otherwise, t = 0. If t ≥ t0, it means that at the bag-beating frequency f0, the pressure difference of the dust collector is less than 800 Pa for more than t0 minutes, and the bag-beating frequency needs to be optimized. The bag-beating frequency is extended by 1 second each time. t0 == 36000S indicates that Si < 800 Pa has lasted for 10 hours or more, and the bag-beating frequency needs to be optimized. The bag-beating frequency is extended by 1 second each time. When t = 36000S occurs, the initial value t = 0 is assigned again. Through the above algorithm, the optimal bag-beating frequency f of the multiple leaf-beating dust collectors is found.

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