Tobacco shred cutting proportion online detection method, device and system and computer readable storage medium

Abstract

The invention discloses a cut tobacco cutting proportion online detection method, device and system and a computer readable storage medium, and relates to the technical field of tobacco mechanical automation control. Aiming at the problem of large detection error caused by neglecting the density gradient of the tobacco shreds in the vertical direction in the prior art, a physical model of tobacco shred density changing along with height is established, tobacco shred heights before and after reduction are synchronously acquired by combining double-path laser, and a height value is converted into a mass value by utilizing a pre-calibration parameter; and the cutting proportion is calculated in real time and output to a control system to drive dynamic adjustment. According to the method, programmed compensation of a density gradient mechanism is realized for the first time, the detection precision and real-time performance are remarkably improved, closed-loop control of a high-speed production line is supported, meanwhile, a cut tobacco quantity accumulation monitoring function is expanded, and a core technical basis is provided for fine control of tobacco production.

Description

Technical Field

[0001] The present invention relates to the technical field of tobacco machinery automation control, and in particular to an online detection method, device, system and computer-readable storage medium for tobacco cutting ratio. Background Art

[0002] During cigarette production, the cigarette-making machine uses negative pressure suction to draw tobacco beneath the suction band, forming a tobacco bundle that is then transported to the cigarette gun for wrapping and shaping. To optimize the internal structure of the cigarette and precisely control the amount of tobacco, a cutting disc is typically used to cut the sparse tobacco at the bottom of the tobacco bundle before it enters the wrapping and shaping stage. Precise control of the cutting amount is crucial to key quality indicators such as cigarette weight stability and draw resistance uniformity.

[0003] Current cigarette-making machines generally lack effective online detection methods to accurately and in real time determine the tobacco cut ratio. In particular, existing methods that use line-scanning lasers to detect tobacco cut height differences ignore the key physical property of tobacco bundles: a significant density gradient in the vertical direction (high density near the surface of the tobacco bundle and low density away from the surface). By calculating the cut ratio based solely on height differences, these methods can lead to significant errors in the detection results and fail to meet the requirements of refined quality control.

[0004] Therefore, the present application proposes an online detection method, device, system and computer-readable storage medium for tobacco cutting ratio, which can achieve high-precision, online real-time calculation of tobacco cutting ratio by establishing and applying an accurate model of tobacco bundle density changing with height, combined with real-time height detection data. Summary of the Invention

[0005] The main purpose of the present invention is to provide a method, device, system and computer-readable storage medium for online detection of tobacco cutting ratio, aiming to solve the technical problem that the existing laser altimetry method ignores the density-gradient distribution in the vertical direction of the tobacco bundle, resulting in large errors in cutting ratio calculation.

[0006] To achieve the above object, the present invention provides an online detection method for tobacco cutting ratio, comprising the following steps:

[0007] Synchronously obtain the real-time height h upstream of the tobacco cutting disc before and the real-time height of the downstream h after ;

[0008] Call the pre-calibrated tobacco characteristic density ρ0 and characteristic height H, and based on the exponential model ρ(h)=ρ0e -h / H , calculate the tobacco mass per unit area before and after cutting respectively, the calculation expression is:

[0009]

[0010] Where ρ0 is the characteristic density of tobacco, H is the characteristic height (attenuation coefficient), and h is the vertical height from the surface of the smoking ribbon;

[0011] According to m before and m after Calculate the real-time cutting ratio, the calculation expression is:

[0012]

[0013] The real-time cutting ratio R is obtained and input into the cigarette cutting system to dynamically adjust the amount of tobacco cut.

[0014] As a further improvement of the present application, the calibration process of the tobacco characteristic density ρ0 and characteristic height H includes:

[0015] Get the weight of cut tobacco M within 30 seconds cut , corresponding to the cigarette production N, and the standard content of single cigarette M cig , calculate the tobacco reduction ratio

[0016] The density ρ of the middle section of the tobacco rod after shutdown was measured by microwave density meter m ;

[0017] Extract the average heights h1 and h2 before and after the reduction during the calibration period;

[0018] Based on the cigarette radius r 2 , the width d of the wire suction guide rail and the mass conservation equation are solved simultaneously to obtain ρ0 and H. The calculation expression is:

[0019]

[0020] Wherein, d represents the width of the tobacco suction guide rail, h1 represents the height of the tobacco bundle at the corresponding position of the middle section of the cigarette after cutting, and h2 represents the height of the tobacco bundle before cutting.

[0021] As a further improvement of this application, the real-time tobacco height upstream and downstream of the cutting disc is obtained synchronously through a dual parallel data interface. before With h after The time alignment deviation is ≤10ms.

[0022] As a further improvement of the present application, the online detection method for tobacco cutting ratio further includes real-time accumulation of the amount of cut tobacco to perform discrete integration on the continuously collected height sequence, and the calculation expression is:

[0023]

[0024] Where Δx is the line scanning laser sampling interval, h(x i ) represents the position xi The tobacco beam line scanning laser detection height.

[0025] In addition, to achieve the above-mentioned purpose, the present invention further provides an online detection device for tobacco cutting ratio, comprising:

[0026] The sensor unit includes an upstream laser sensor and a downstream laser sensor. The upstream laser sensor is fixed to the front frame of the cutting plate and is used to collect the real-time height of the cut tobacco before cutting h in real time. before The downstream laser sensor is fixed to the rack after the cutting plate, which is used to collect the real-time height of the cut tobacco after cutting h after ;

[0027] The control unit includes a density-mass conversion module and a dynamic ratio calculation module. The density-mass conversion module is used to load the pre-calibrated characteristic density ρ0 and characteristic height H of the tobacco cut, and calculate the mass m per unit area of ​​the tobacco cut before cutting according to the exponential distribution model. before and the mass of tobacco per unit area after cutting m after ; The dynamic ratio calculation module is used to perform cutting ratio calculation;

[0028] The output interface is used to output the real-time cutting ratio R for transmission to the cigarette making machine control system.

[0029] In addition, to achieve the above-mentioned purpose, the present invention also provides an online detection system for tobacco cutting ratio, which includes a memory, a processor, and an online detection system program for tobacco cutting ratio stored in the memory and runnable on the processor. When the online detection system for tobacco cutting ratio is executed by the processor, the steps of the online detection method for tobacco cutting ratio as described above are implemented.

[0030] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a tobacco cutting ratio online detection program is stored. When the tobacco cutting ratio online detection program is executed by a processor, the steps of the tobacco cutting ratio online detection method as described above are implemented.

[0031] The technical solution provided by the present invention can have the following beneficial effects:

[0032] During use, the present invention, through a programmed, real-time detection process—synchronously collecting tobacco height data, invoking pre-calibrated density-gradient parameters, executing exponential model mass conversion, dynamically calculating the cut ratio, and outputting a control signal—effectively overcomes the measurement errors caused by traditional methods that ignore the vertical density-gradient of the tobacco bundle, achieving high-precision online detection of the cut ratio. Its core advantages lie in: The mass integral calculation based on the exponential distribution model significantly improves detection accuracy, and the real-time output of the cut ratio to the cigarette making machine control system forms a closed-loop control loop, eliminating the lag caused by manual intervention. Furthermore, the programmed calibration process ensures adaptive parameter updates, maintains long-term operational stability, and provides a data foundation for intelligent management and control of tobacco consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings, wherein like reference numerals generally represent like components throughout the exemplary embodiments of the present invention.

[0034] Figure 1 This is a schematic diagram of the architecture of the hardware operating environment for online detection of tobacco cutting ratio according to an embodiment of the present invention;

[0035] Figure 2 This is a flow chart of a first embodiment of the on-line detection method for tobacco cutting ratio according to the present invention;

[0036] Figure 3 Schematic diagram of an exponential distribution model in the second embodiment of the on-line detection method for tobacco cutting ratio of the present invention;

[0037] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0038] To better understand the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0039] As an implementation solution, Figure 1 This is a schematic diagram of the architecture of the hardware operating environment of the online detection system for tobacco cutting ratio involved in the embodiment of the present invention.

[0040] like Figure 1As shown, the online detection system for tobacco cutting ratio may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may optionally include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0041] Those skilled in the art will understand that Figure 1 The architecture of the online tobacco cutting ratio detection system shown in the figure does not constitute a limitation on the online tobacco cutting ratio detection system, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0042] like Figure 1 As shown, the memory 1005, which is a storage medium, may include an operating system, a network communication module, a user interface module, and a tobacco cut ratio online detection program. The operating system is a program that manages and controls the hardware and software resources for tobacco cut ratio online detection, and the operation of the tobacco cut ratio online detection program and other software or programs.

[0043] exist Figure 1 In the tobacco cutting ratio online detection system shown, the user interface 1003 is mainly used to connect to the terminal and communicate data with the terminal; the network interface 1004 is mainly used for the background server and communicates data with the background server; the processor 1001 can be used to call the tobacco cutting ratio online detection program stored in the memory 1005.

[0044] In this embodiment, the tobacco cut ratio online detection system includes: a memory 1005, a processor 1001, and a tobacco cut ratio online detection program stored in the memory and executable on the processor, wherein:

[0045] Step S10: Synchronously obtain the real-time height h upstream of the tobacco cutting disc before and the real-time height of the downstream h after ;

[0046] Step S20: call the pre-calibrated tobacco characteristic density ρ0 and characteristic height H, and based on the exponential distribution model ρ(h)=ρ0e -h / H, calculate the tobacco mass per unit area before and after cutting respectively, the calculation expression is:

[0047]

[0048]

[0049] in,

[0050] Step S30: According to m before and m after Calculate the real-time cutting ratio, the calculation expression is:

[0051]

[0052] Step S40: obtaining the output real-time cutting ratio R, inputting it into the cigarette cutting system, and dynamically adjusting the amount of tobacco cut.

[0053] Based on the hardware architecture of the above-mentioned online detection device for tobacco cutting ratio based on the online detection technology for tobacco cutting ratio, an embodiment of the online detection method for tobacco cutting ratio of the present invention is proposed.

[0054] Reference Figure 2 In a first embodiment, the online detection method for tobacco cutting ratio includes the following steps:

[0055] Step S10: synchronously obtain the real-time height h upstream of the tobacco cutting disc before and the real-time height of the downstream h after .

[0056] Furthermore, the real-time tobacco height upstream and downstream of the cutting disc is obtained synchronously through a dual parallel data interface. before With h after The time alignment deviation is ≤10ms.

[0057] Optionally, two sets of high-precision line scanning laser sensors can be used, fixed to the frames upstream and downstream of the cutting disc respectively, to detect the average height of the tobacco surface before and after cutting.

[0058] In this embodiment,

[0059] Step S20: call the pre-calibrated tobacco characteristic density ρ0 and characteristic height H, and based on the exponential distribution model ρ(h)=ρ0e -h / H , calculate the tobacco mass per unit area before and after cutting respectively, the calculation expression is:

[0060]

[0061]

[0062] Among them, ρ0 is the characteristic density of tobacco, H is the characteristic height (attenuation coefficient), and h is the vertical height from the surface of the smoking ribbon.

[0063] It should be noted that tobacco is adsorbed under the suction belt under the negative pressure suction, and the negative pressure suction generates suction through the small holes of the suction belt. This suction decays with the increase of the height from the surface of the suction belt, resulting in the tobacco density at different heights from the surface of the suction belt decreasing with the increase of height. According to the principle of mechanics, the suction belt can be approximated as a porous plane, and the average flow velocity decays relatively slowly. The relationship between tobacco density ρ(h) and height h can be expressed by exponential distribution ρ0e -h / H To characterize, such as Figure 3 shown.

[0064] Furthermore, the characteristic density ρ0 and characteristic height H of the cut tobacco are obtained through a calibration process, which specifically includes the following steps:

[0065] Step S201: Obtain the measured weight of cut tobacco within 30 seconds and the cigarette production in the corresponding period, and calculate the tobacco reduction ratio R0 based on the standard cut tobacco content of a single cigarette. The calculation expression is:

[0066]

[0067] Among them, M cut is the measured weight of cut tobacco, N is the output of cigarettes in the corresponding period, M cig Standard tobacco content of a single cigarette;

[0068] Step S202: Measure the density of the middle section of the tobacco rod after shutdown by using a microwave density meter m .

[0069] Step S203: extracting the average heights h1 and h2 before and after the reduction during the calibration period;

[0070] Step 204: Based on the cigarette radius r 2 , the width d of the wire suction guide rail and the mass conservation equation are solved simultaneously to obtain ρ0 and H. The calculation expression is:

[0071]

[0072] Wherein, d represents the width of the tobacco suction guide rail, h1 represents the height of the tobacco bundle at the corresponding position of the middle section of the cigarette after cutting, and h2 represents the height of the tobacco bundle before cutting.

[0073] Furthermore, the specific derivation process of step 204 is as follows:

[0074] Step S2041: Enter the weight of the cigarette per unit length m1=πr after the cigarette paper is formed 2 ρ m , where π is the ratio of circumference to diameter (constant), r is the radius of the cigarette (known), and ρm is the density of the middle section of the tobacco rod obtained by testing;

[0075] Step S2042: The amount of tobacco per unit length at the corresponding position in the middle of the cigarette after the tobacco bundle below the smoking ribbon (before entering the cigarette paper wrapping) is cut Where d is the width of the suction guide (known), h1 is the height of the tobacco bundle at the corresponding position of the middle section of the cigarette after cutting (detected by line scanning laser);

[0076] Step S2043: The amount of tobacco per unit length before the tobacco bundle below the smoking ribbon (before entering the cigarette paper wrapping) is reduced Where d is the width of the tobacco suction rail (known), and h2 is the height of the tobacco bundle before cutting (detected by line scanning laser).

[0077] According to the law of conservation of mass, m1=m2 and m1=m3×(1-R0), we can get the equations:

[0078]

[0079] In this embodiment, the pre-calibrated parameters ρ0 and H are called programmatically, and based on the exponential model ρ(h)=ρ0e -h / H By performing mass integral calculations, the laser height detection values ​​are accurately mapped to tobacco mass values, effectively overcoming the physical mechanism cognition defects caused by the traditional method ignoring the vertical density gradient of the tobacco bundle, and eliminating the root cause of detection errors at the principle level.

[0080] Step S30: Calculate the cutting ratio R in real time based on the mass of tobacco per unit area before and after cutting. The calculation expression is:

[0081]

[0082] In this embodiment, the cutting ratio calculation is performed in a programmed manner, and the mass difference calculated by the density gradient model is dynamically converted into a percentage control amount, providing the cigarette making machine control system with a real-time feedback signal with clear physical meaning and unified dimension, thereby realizing accurate mapping from the physical properties of tobacco to production control parameters.

[0083] Step S40: The output real-time cutting ratio R is input to the cigarette cutting system to dynamically adjust the amount of tobacco cut.

[0084] In this embodiment, the real-time cutting ratio R is programmed to be output to the cigarette making machine control system, which directly drives the dynamic adjustment of the cutting disc or the wire feeding mechanism, and converts the high-precision detection data into actuator action instructions, realizing the millisecond-level closed-loop response of "measurement-calculation-control", thereby fundamentally blocking the quality fluctuation caused by detection lag.

[0085] Furthermore, the online detection method for tobacco cutting ratio also includes real-time accumulation of the amount of cut tobacco to perform discrete integration on the continuously collected height sequence, and the calculation expression is:

[0086]

[0087] Where Δx is the line scanning laser sampling interval, h(x i ) represents the position x i The tobacco beam line scanning laser detection height.

[0088] In this embodiment, by performing discrete integration on the continuously collected height sequence, the second-level cumulative statistics of the cut tobacco quality are achieved, and the instantaneous proportion detection is extended to real-time monitoring of production line-level consumption, providing full-cycle data traceability support for precise control of tobacco loss and optimization of formula costs.

[0089] In the solution provided in this embodiment, a programmed real-time detection process—synchronously collecting tobacco height data, invoking pre-calibrated density-gradient parameters, executing exponential model mass conversion, dynamically calculating the cutting ratio, and outputting a control signal—effectively overcomes the measurement errors caused by traditional methods that ignore the vertical density-gradient of the tobacco bundle, achieving high-precision online detection of the cutting ratio. Its core advantages are: the mass integral calculation based on the exponential distribution model significantly improves detection accuracy, and the real-time output of the cutting ratio to the cigarette making machine control system forms a closed-loop control, eliminating the lag caused by manual intervention. At the same time, the programmed implementation of the calibration process ensures adaptive parameter updates, maintains long-term operational stability, and provides a data foundation for intelligent management and control of tobacco consumption.

[0090] Based on the method proposed in the above embodiment, in this embodiment, an online detection of tobacco cutting ratio was carried out in the Qujing Cigarette Factory, and the detection results were recorded.

[0091] First, the amount of tobacco cut within 30 seconds of manual picking is 1270g, the speed is 5000 cigarettes / minute, the tobacco content of a single cigarette is 0.451g, the total tobacco supply is 1270+5000*0.451 / 2=2397.5g, and the tobacco reduction ratio is

[0092] Secondly, after stopping the machine, take out the cigarette rod wrapped in cigarette paper and use microwave density meter to test the density of cigarette rod. The density of the middle section is ρ m 220mg / cm 3 .

[0093] Next, the weight of the cigarette per unit length m1 after entering the cigarette paper forming process:

[0094] m1=πr 2 ρ m =3.14*3.18 2*220=6985.6

[0095] The width of the tobacco suction rail is 7. According to the line scanning laser detection results, the height h2 of the tobacco bundle before cutting is 15.8, and the height h1 after cutting is 6.8. Therefore:

[0096] m2=dρ0H(1-e -h1 / H )=7ρ0H(1-e -6.8 / H )

[0097]

[0098] According to the equation You can get:

[0099]

[0100] The simultaneous equations can be used to calculate the density-height model parameters ρ0 to be 155 and H to be 49.

[0101] From then on, we adjusted the tobacco supply amount to detect the height of the tobacco, calculated the tobacco reduction ratio, and obtained the data recorded in the following table:

[0102]

[0103] Finally, according to the comparison between the calculated results and the measured results, the error is small and the detection accuracy is high.

[0104] The line-scan laser is used to scan the height of tobacco before and after cutting by the cutting disk of the cigarette making machine, and the tobacco reduction ratio is accurately calculated based on the density distribution characteristics of the tobacco. This enables accurate calculation and real-time monitoring of the tobacco reduction ratio, providing data support for precise control and intelligent regulation of cigarette quality.

[0105] In addition, this embodiment also provides an online detection device for tobacco cutting ratio, which includes:

[0106] The sensor unit includes an upstream laser sensor and a downstream laser sensor. The upstream laser sensor is fixed to the front frame of the cutting plate and is used to collect the real-time height of the cut tobacco before cutting h in real time. before The downstream laser sensor is fixed to the rack after the cutting plate, which is used to collect the real-time height of the cut tobacco after cutting h after ;

[0107] The control unit includes a density-mass conversion module and a dynamic ratio calculation module. The density-mass conversion module is used to load the pre-calibrated characteristic density ρ0 and characteristic height H of the tobacco cut, and calculate the mass m per unit area of ​​the tobacco cut before cutting according to the exponential distribution model. before and the mass of tobacco per unit area after cutting m after; The dynamic ratio calculation module is used to perform cutting ratio calculation;

[0108] The output interface is used to output the real-time cutting ratio R for transmission to the cigarette making machine control system.

[0109] Furthermore, those skilled in the art will appreciate that all or part of the process steps in the method of the above-described embodiment can be implemented by instructing the relevant hardware through a computer program. The computer program includes program instructions, which can be stored in a computer-readable storage medium. The program instructions are executed by at least one processor in the online tobacco cut ratio detection system to implement the process steps of the above-described method embodiment.

[0110] Therefore, the present invention also provides a computer-readable storage medium, which stores a tobacco cutting ratio online detection program. When the tobacco cutting ratio online detection program is executed by a processor, it implements the various steps of the tobacco cutting ratio online detection method described in the above embodiment.

[0111] The computer-readable storage medium may be any computer-readable storage medium that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0112] It should be noted that since the storage medium provided in the embodiments of this application is the storage medium used to implement the method of the embodiments of this application, based on the method described in the embodiments of this application, those skilled in the art will be able to understand the specific structure and deformation of the storage medium, and therefore will not be described in detail here. All storage media used in the method of the embodiments of this application fall within the scope of protection to be provided by this application.

[0113] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0117] It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention can be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third etc. does not indicate any order. These words may be interpreted as names.

[0118] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0119] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for online detection of tobacco cutting ratio, characterized in that: The following steps are involved: Synchronously obtain the real-time height h upstream of the tobacco cutting disc before and the real-time height of the downstream h after ; Call the pre-calibrated tobacco characteristic density ρ0 and characteristic height H, and based on the exponential model ρ(h)=ρ0e -h / H , calculate the tobacco mass per unit area before and after cutting respectively, the calculation expression is: Where ρ0 is the characteristic density of tobacco, H is the characteristic height (attenuation coefficient), and h is the vertical height from the surface of the smoking ribbon; According to m before and m after Calculate the real-time cutting ratio, the calculation expression is: The real-time cutting ratio R is obtained and input into the cigarette cutting system to dynamically adjust the amount of tobacco cut.

2. The method according to claim 1, characterized in that The calibration process of the tobacco characteristic density ρ0 and characteristic height H includes: Get the weight of cut tobacco M within 30 seconds cut , corresponding to the cigarette production N, and the standard content of single cigarette M cig , calculate the tobacco reduction ratio The density ρ of the middle section of the tobacco rod after shutdown was measured by microwave density meter m ; Extract the average heights h1 and h2 before and after the reduction during the calibration period; Based on the cigarette radius r 2 , the width d of the wire suction guide rail and the mass conservation equation are solved simultaneously to obtain ρ0 and H. The calculation expression is: Wherein, d represents the width of the tobacco suction guide rail, h1 represents the height of the tobacco bundle at the corresponding position of the middle section of the cigarette after cutting, and h2 represents the height of the tobacco bundle before cutting.

3. The method according to claim 1, characterized in that Synchronously obtain the real-time tobacco height upstream and downstream of the cutting disc through a dual parallel data interface, h before With h after The time alignment deviation is ≤10ms.

4. The method according to claim 1, wherein It also includes real-time accumulation of the amount of cut tobacco to perform discrete integration on the continuously collected height sequence. The calculation expression is: Where Δx is the line scanning laser sampling interval, h(x i ) represents the position x i The tobacco beam line scanning laser detection height.

5. An online detection device for tobacco cutting ratio, characterized in that: include: The sensor unit includes an upstream laser sensor and a downstream laser sensor. The upstream laser sensor is fixed to the front frame of the cutting plate and is used to collect the real-time height of the cut tobacco before cutting h in real time. before The downstream laser sensor is fixed to the rack after the cutting plate, which is used to collect the real-time height of the cut tobacco after cutting h after ; The control unit includes a density-mass conversion module and a dynamic ratio calculation module. The density-mass conversion module is used to load the pre-calibrated characteristic density ρ0 and characteristic height H of the tobacco cut, and calculate the mass m per unit area of ​​the tobacco cut before cutting according to the exponential distribution model. before and the mass of tobacco per unit area after cutting m after ; The dynamic ratio calculation module is used to perform cutting ratio calculation; The output interface is used to output the real-time cutting ratio R for transmission to the cigarette making machine control system.

6. A tobacco cutting ratio online detection system, characterized in that: The tobacco cutting ratio online detection system includes: a memory, a processor, and a tobacco cutting ratio online detection program stored in the memory and executable on the processor. When the tobacco cutting ratio online detection program is executed by the processor, the steps of the tobacco cutting ratio online detection method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a tobacco cutting ratio online detection program, which, when executed by a processor, implements the steps of the tobacco cutting ratio online detection method according to any one of claims 1 to 4.

Images