Cigarette dynamic segmentation draw resistance detection method and system based on microwaves and application

Abstract

The invention belongs to the technical field of tobacco production processes, and provides a cigarette dynamic segmented draw resistance detection method and system based on microwaves and application, and the method comprises the following steps: skipping a balance stage to carry out immediate sample introduction; driving the cigarette sample to move at a constant speed, and measuring microwave signals point by point according to a preset interval; or synchronously measuring the microwave signal based on the array type microwave transceiving unit; based on the microwave signals, filter tip draw resistance and cut tobacco draw resistance are calculated in combination with the sectional area; actual measurement overall draw resistance is obtained, the overall draw resistance is substituted into the draw resistance weighting model, and a first draw resistance coefficient corresponding to the filter tip draw resistance and a second draw resistance coefficient corresponding to the cut tobacco draw resistance are determined by combining the filter tip draw resistance and the cut tobacco draw resistance; and obtaining two cigarette samples with the same model, and repeating the steps to complete a double-sample experiment so as to verify the first draw resistance coefficient and the second draw resistance coefficient. The method is suitable for dynamic suction simulation, and is high in detection speed, small in error and low in complexity.

Description

Technical Field

[0001] This application relates to the field of tobacco production technology, and in particular to a microwave-based method, system and application for dynamic segmented draw resistance detection of cigarettes. Background Technology

[0002] The current tobacco industry typically tests cigarette draw resistance using specialized equipment such as integrated testing benches. The national standard for calculating cigarette draw resistance is based on GB / T 22838.5-2009. Specifically, under specified standard conditions, the pressure difference across the cigarette is measured when a stable airflow of 17.5 mL / s flows through it; this pressure difference is the cigarette's draw resistance.

[0003] However, the above detection method has the following drawbacks:

[0004] 1) The results of the draw resistance test fluctuate greatly due to factors such as uneven cigarette tightness, differences in filter materials, and changes in temperature and humidity in the testing environment;

[0005] 2) The sample needs to be equilibrated before testing, generally for 48 hours, to balance the sample temperature and humidity (standard environment: 22±1℃, 60±2%RH).

[0006] 3) The pressure sensor on the integrated test bench was not calibrated regularly and the flow meter was not accurate enough, resulting in certain errors in the equipment calibration.

[0007] To address at least one of the aforementioned deficiencies, relevant technicians have developed various methods for detecting cigarette draw resistance. For example, patent application CN114184517A discloses a detection method for a segmented draw resistance detection system. Based on an improved linear network model of cigarette draw resistance, it compensates for the airflow loss in the filter ventilation section under a constant draw flow setting and reduces compensation errors through data assimilation. The segmented draw resistance is calculated after measuring relevant data of the complete cigarette using a segmented draw resistance detection device. The data assimilation process involves a two-step loop: first, comparing / merging the observed values ​​of the actual system with the predicted values ​​generated by the model to obtain the best estimate of the system state; second, balancing the uncertainty information contained in both the observed data and the model to obtain a predicted value for the future system state. However, the above detection method, based on an improved linear network model, dynamically compensates for the airflow loss in the filter ventilation section through data assimilation and iteratively optimizes the fusion of model predicted values ​​and measured values. This method is highly complex and suitable only for cigarette products with clearly defined segmented structures; it is not applicable to cigarette products with particularly simple or complex structures.

[0008] For example, patent CN110361293B discloses a non-destructive and rapid method for measuring the segmented draw resistance of cigarettes. The theoretical basis for cigarette draw resistance is that the pressure drop (Pa) caused by the fluid passing through the cigarette is directly proportional to the fluid flow rate through the cigarette (unit: mL / s). The ratio of these two values ​​is the cigarette permeation resistance (unit: Pa·s / mL). Cigarette permeation resistance is a physical property parameter. The permeation resistance of cigarettes with laser-perforated filters is determined to be mainly formed by the permeation resistance of the following five parts:

[0009] Part 1: Including the permeation resistance of the tobacco shreds (the part filled with tobacco shreds) (i.e., the permeation resistance μ1 of the tobacco shreds covered by cigarette paper + the permeation resistance μ3 of the tobacco shreds covered by tipping paper);

[0010] Part 2: Permeability resistance from cigarette paper segment to tobacco segment (denoted as μ2);

[0011] Part 3: Permeability resistance (denoted as μ4) of airflow through the front section of the filter tip (with the laser-drilled perforation line as the boundary);

[0012] Part 4: Permeation resistance (denoted as μ5) of airflow through the rear section of the filter tip (with the laser-drilled perforation line as the boundary);

[0013] Part 5: Permeability resistance of airflow entering the filter section through the vent (denoted as μ6).

[0014] However, the above method is suitable for steady-state testing and has a slow detection speed, making it unsuitable for dynamic testing. Summary of the Invention

[0015] To address the shortcomings of existing technologies, this invention provides a microwave-based method, system, and application for dynamic segmented cigarette draw resistance detection. It is suitable for dynamic draw simulation and features fast detection speed, small error, and low complexity.

[0016] To achieve the above objectives, the present invention adopts the following technical solution:

[0017] The first aspect of this invention provides a microwave-based method for detecting dynamic segmented draw resistance of cigarettes, comprising the following steps:

[0018] Step S100: When the initial state of the cigarette sample meets the detection threshold, skip the balancing stage and perform immediate sample injection.

[0019] Step S200: After the sample is injected, drive the cigarette sample to move at a constant speed and measure the microwave signal point by point according to the preset interval; or, measure the microwave signal synchronously based on the array of microwave transceiver units arranged along the length of the cigarette sample.

[0020] Step S300: Based on the microwave signal and combined with the segmented cross-sectional area of ​​the cigarette sample, calculate the filter resistance and tobacco resistance of the cigarette sample.

[0021] Step S400: Obtain the measured overall draw resistance of the cigarette sample, substitute the overall draw resistance into the draw resistance weighted model of the cigarette sample, and combine the filter draw resistance and the tobacco draw resistance to determine the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance.

[0022] Step S500: Obtain two cigarette samples of the same model, and repeat steps S100 to S400 above to complete the dual-sample experiment to verify the first and second draw resistance coefficients.

[0023] Furthermore, in step S100, the detection threshold is a quantitative parameter used to evaluate whether a cigarette sample meets the conditions for immediate detection using a microwave sensor.

[0024] Further, in step S200, driving the cigarette sample to move at a uniform speed and measuring the microwave signal point by point according to a preset interval includes:

[0025] A set of microwave transceiver units is arranged on both sides of the end of the cigarette sample facing the direction of uniform motion. The cigarette sample is driven to move at a uniform speed, and the microwave signal is measured point by point at a preset interval. The preset interval is matched with the microwave wavelength of the microwave transceiver unit.

[0026] Further, in step S300, calculating the filter resistance and tobacco resistance of the cigarette sample includes:

[0027] Cross-correlation analysis based on microwave signals is performed to determine the time delay between microwave signals, and the average gas velocity in the axial segment is calculated based on the microwave Doppler effect.

[0028] Calculate the gas flow rate of each segment by combining the average gas velocity of the axial segment and the cross-sectional area of ​​each segment;

[0029] Based on the segmented gas flow rate, the filter tip resistance and the tobacco resistance are calculated separately.

[0030] Further, in step S400, obtaining the measured overall draw resistance of the cigarette sample includes: using a calibrated comprehensive testing platform to test the overall draw resistance of the cigarette sample to obtain the measured overall draw resistance.

[0031] Further, in step S400, the overall draw resistance is substituted into the draw resistance weighted model of the cigarette sample, and the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance are determined by combining the filter draw resistance and the tobacco draw resistance, including:

[0032] (Formula 1),

[0033] In Formula 1, P 总 Indicates overall suction resistance, P A Indicates filter suction resistance, KA Indicates the first suction resistance coefficient, P B Indicates the draw resistance of tobacco, K B This represents the second suction resistance coefficient.

[0034] Furthermore, in step S500, the two cigarette samples of the same model are randomly selected.

[0035] A second aspect of the present invention provides a microwave-based dynamic segmented draw resistance detection system for cigarettes, comprising:

[0036] The sample injection module is used to skip the balancing phase and perform immediate sample injection when the initial state of the cigarette sample meets the detection threshold;

[0037] The microwave signal measurement module is used to drive the cigarette sample to move at a constant speed after the sample is injected, and measure the microwave signal point by point according to the preset interval; or, based on the array of microwave transceiver units arranged along the length of the cigarette sample, the microwave signal is measured synchronously.

[0038] The calculation module is used to calculate the filter resistance and tobacco resistance of the cigarette sample based on microwave signals and the segmented cross-sectional area of ​​the cigarette sample.

[0039] The calibration module is used to obtain the measured overall draw resistance of the cigarette sample, substitute the overall draw resistance into the draw resistance weighted model of the cigarette sample, and combine the filter draw resistance and tobacco draw resistance to determine the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance.

[0040] The verification module obtains two cigarette samples of the same model and repeats the methods of the above modules to complete the dual-sample experiment in order to verify the first and second draw resistance coefficients.

[0041] A third aspect of the present invention provides a computer-readable storage medium having computer-readable instructions stored thereon, which, when executed by a computer processor, cause the computer to perform the above-described microwave-based dynamic segmented draw resistance detection method for cigarettes.

[0042] A fourth aspect of the present invention provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described microwave-based dynamic segmented draw resistance detection method for cigarettes.

[0043] The beneficial technical effects of this invention are as follows:

[0044] This invention can accurately identify abnormalities in the draw resistance of different parts of a cigarette, such as problems in the filter section or the tobacco section, facilitating targeted improvements to the production process and enhancing product quality stability. Simultaneously, by detecting the draw resistance of different sections, this invention provides a deeper understanding of the contribution of each part of the cigarette to the overall draw resistance, thereby optimizing the cigarette's structural design. For example, based on draw resistance data, the filter length and tobacco filling density can be adjusted appropriately to improve the smoking experience.

[0045] This invention helps to quickly detect anomalies in the production process, adjust equipment parameters in a timely manner, reduce the defect rate caused by suction resistance problems, improve production efficiency, and reduce production costs. At the same time, strict segmented suction resistance testing can ensure that products meet relevant industry standards and regulations, avoiding the risk of product quality defects caused by suction resistance problems.

[0046] This invention utilizes microwave signals to detect pressure differences, i.e., absorption resistance, to achieve high-precision absorption resistance measurement, accurately detecting minute pressure changes. It also features fast response speed, simultaneous measurement of multiple points, relatively simple installation of the microwave transceiver unit, and low maintenance cost.

[0047] This invention, by arranging an array of microwave transceiver units, can simultaneously measure the draw resistance at different positions of a cigarette, obtaining more comprehensive information on the draw resistance distribution, which helps to evaluate and analyze the overall condition of the cigarette.

[0048] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0049] The accompanying drawings, incorporated in and forming part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without inventive effort. In the drawings:

[0050] Figure 1 This is a flowchart of the microwave-based dynamic segmented draw resistance detection method for cigarettes according to this application.

[0051] Figure 2 This is a framework diagram of the microwave-based dynamic segmented suction resistance detection system for cigarettes according to this application;

[0052] Figure 3 A schematic diagram of the structure of a computer system suitable for an embodiment of this application is shown;

[0053] Figure 4 This is a schematic diagram of an exemplary microwave transceiver unit layout structure according to this application. Detailed Implementation

[0054] Unless otherwise defined, all technical and / or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should be understood that certain features of the invention (described in the context of separate embodiments for clarity) may also be provided in a single embodiment. Conversely, multiple features of the invention (described in the context of a single embodiment for brevity) may also be provided separately or in any suitable combination or, where appropriate, in any other described embodiment of the invention. Certain features described in the context of various embodiments will not be considered essential features of those embodiments unless the embodiment is inoperable without those elements. The invention is further illustrated below by specific examples; however, it should be noted that the specific process conditions and results described in the embodiments of the invention are merely illustrative and should not be construed as limiting the scope of protection of the invention. All equivalent changes or modifications made in accordance with the spirit and essence of the invention should be covered within the scope of protection of the invention.

[0055] Please see Figure 1 The flowchart of the microwave-based dynamic segmented draw resistance detection method for cigarettes in this application is shown below in detail:

[0056] Step S100: When the initial state of the cigarette sample meets the detection threshold, skip the balancing stage and perform immediate sample injection.

[0057] Specifically, the detection threshold of this application is a quantitative parameter used to assess whether a cigarette sample meets the conditions for immediate detection using a microwave sensor. Traditional cigarette draw resistance detection methods require equilibration of the sample for 48 hours before testing to eliminate the influence of temperature and humidity on the physical state of the cigarette. In contrast, this application, based on a microwave sensor, directly eliminates environmental interference through real-time signal analysis. The detection threshold is essentially a dynamic stability criterion, rather than a static equilibrium condition.

[0058] Step S200: After the sample is injected, drive the cigarette sample to move at a constant speed and measure the microwave signal point by point according to the preset interval; or, measure the microwave signal synchronously based on the array of microwave transceiver units arranged along the length of the cigarette sample.

[0059] Specifically, please refer to Figure 4This application arranges a set of microwave transceiver units on both sides of the end of a cigarette sample facing the direction of uniform motion. This drives the cigarette sample to move at a uniform speed and measures microwave signals point by point at preset intervals. The preset intervals are matched to the microwave wavelengths of the microwave transceiver units. More specifically, the microwave transceiver unit in this application is a microwave sensor, which generates and transmits a microwave signal with a frequency of f0 by a microwave transmitting module; the microwave receiving module receives the microwave signal scattered by the gas. The preset interval setting in this application needs to match the wavelength of the microwave signal and the physical characteristics of the cigarette. For example, a typical cigarette has a length of 84mm and a wavelength of 12cm, so the preset interval could be 1mm.

[0060] More specifically, this application also provides another method for installing microwave sensors, in which multiple microwave sensors (e.g., 84 groups) are evenly arranged along the length of the cigarette sample (e.g., 84 mm). Each sensor includes a transmitting module (frequency f0) and a receiving module, ensuring coverage of the entire length of the cigarette. The array spacing needs to be determined based on the microwave wavelength (e.g., approximately 12 cm for wavelengths between 2.5 and 2.7 GHz) and resolution requirements (e.g., one group per millimeter). Furthermore, the array-based synchronous measurement of this application avoids mechanical errors caused by sample movement, and the multi-channel data more closely reflects the unsteady airflow characteristics of actual smoking behavior.

[0061] Step S300: Based on the microwave signal and the segmented cross-sectional area of ​​the cigarette sample, calculate the filter resistance and tobacco resistance of the cigarette sample.

[0062] Specifically, this application performs cross-correlation analysis based on microwave signals to determine the time delay between microwave signals, and calculates the axial segmented average gas flow velocity based on the microwave Doppler effect, including:

[0063] (Formula 2),

[0064] In Formula 2, f d λ represents frequency shift, v represents gas velocity, λ represents microwave wavelength, and θ represents the angle between the microwave emission direction and the gas flow direction.

[0065] Furthermore, in practical applications, the microwave frequency f0 is usually known, and λ can be calculated using Formula 3, thereby determining the frequency shift f. d :

[0066] (Formula 3),

[0067] In Formula 3, c represents the speed of light, c = 3 × 10 8 m / s.

[0068] Furthermore, since the airflow direction is perpendicular to the microwave propagation direction, θ = 90°, therefore, cosθ = 1. Thus, the formula for calculating the gas velocity is as follows:

[0069] (Formula 4).

[0070] Furthermore, for each segment of the cigarette, the average flow velocity within that segment is calculated. For example, 84 sets of microwave sensors are installed on the cigarette, each set of sensors measures the gas flow velocity at its corresponding cross-section, with one set of data measured per millimeter, for a total of 84 sets of data. Each set of data includes the gas flow velocity at its corresponding cross-section. The axial segmental average gas flow velocity is calculated as follows:

[0071] (Formula 5),

[0072] In formula 5, This represents the average gas velocity across the axial segments, where N represents the number of segments, such as 84, 25, 29, etc.

[0073] Furthermore, the formula for calculating the circumference of a cigarette is c = 2πr, where c represents the circumference, r represents the radius, and π is a constant, approximately equal to 3.1415926. The formula for calculating the cross-sectional area of ​​a cigarette is A = πr. 2 , where A represents the segmented cross-sectional area.

[0074] Furthermore, by combining the average gas velocity and cross-sectional area of ​​each axial segment, the segmented gas flow rate is calculated as follows:

[0075] (Formula 6);

[0076] (Formula 7),

[0077] In Formula 6, Q represents the gas flow rate; in Formula 7, ... This indicates the segmented gas flow rate, in meters per second (m³). 3 / s.

[0078] Furthermore, this application calculates the filter tip resistance and tobacco resistance separately based on segmented gas flow rates. This application determines the number of filter segments and tobacco segments in the cigarette, and then calculates the resistance of each filter segment and each tobacco segment separately. The filter tip resistance is the sum of the resistances of each filter segment, and the tobacco resistance is the sum of the resistances of each tobacco segment, including:

[0079] (Formula 8),

[0080] In Formula 8, P i The suction resistance for each segment is expressed in Pa; p is the gas density, expressed in kg / m³. 3 g is the acceleration due to gravity, with units of m / s². 2 S represents the specific resistance of the cigarette, measured in Pa·s. 2 / m 2 L represents the length of the cigarette, in meters (m).

[0081] Furthermore, from Formula 8, the suction resistance formula can be derived:

[0082] (Formula 9).

[0083] Furthermore, the filter tip suction resistance P A =P i ×N a tobacco draw resistance P B =P i ×N b , where N a N represents the number of filter segments. b This refers to the number of tobacco shreds.

[0084] Step S400: Obtain the measured overall draw resistance of the cigarette sample, substitute the overall draw resistance into the draw resistance weighted model of the cigarette sample, and combine the filter draw resistance and the tobacco draw resistance to determine the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance.

[0085] Specifically, this application uses a calibrated integrated testing platform to test the overall draw resistance of cigarette samples, obtaining the measured overall draw resistance. Substituting the overall draw resistance into the draw resistance weighted model of the cigarette samples, and combining the filter draw resistance and tobacco draw resistance, the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance are determined, including:

[0086] (Formula 1),

[0087] In Formula 1, P 总 Indicates overall suction resistance, P A Indicates filter suction resistance, K A Indicates the first suction resistance coefficient, P B Indicates the draw resistance of tobacco, K B This represents the second suction resistance coefficient.

[0088] Step S500: Obtain two cigarette samples of the same model, and repeat steps S100 to S400 above to complete the dual-sample experiment to verify the first and second draw resistance coefficients.

[0089] Specifically, two cigarette samples of the same model were randomly selected. The cigarette samples were cut off from the filter and the tobacco section, and their draw resistance was tested separately.

[0090] More specifically, the overall draw resistance of two cigarette samples of the same model was obtained as follows:

[0091] (Formula 10),

[0092] In Formula 10, P 总1This indicates the overall draw resistance of one cigarette, P. A1 This indicates the draw resistance of the cigarette filter, P B1 Indicates the draw resistance of the tobacco; P 总2 Indicates the overall draw resistance of another cigarette, P A2 This indicates the draw resistance of the cigarette filter, P B2 This indicates the resistance to tobacco absorption.

[0093] More specifically, dual-sample testing can identify consistency in production batches. For example, if the overall draw resistance difference between the two samples is greater than 15%, deviations in the filter perforation or tobacco filling processes need to be investigated.

[0094] More specifically, the present invention does not require sample equilibration. The method of the present invention simulates the difference between inhalation and actual smoking, and adopts multi-segment flow test, which is closer to real smoking behavior.

[0095] Please see Figure 2 The diagram shows the framework of the microwave-based dynamic segmented draw resistance detection system for cigarettes 200, as described in this application, including:

[0096] The sample injection module 210 is used to skip the balancing stage and perform immediate sample injection when the initial state of the cigarette sample meets the detection threshold.

[0097] The microwave signal measurement module 220 is used to drive the cigarette sample to move at a constant speed after the sample is injected, and measure the microwave signal point by point according to the preset interval; or, based on the array of microwave transceiver units arranged along the length of the cigarette sample, it synchronously measures the microwave signal.

[0098] The calculation module 230 is used to calculate the filter resistance and tobacco resistance of the cigarette sample based on microwave signals and the segmented cross-sectional area of ​​the cigarette sample.

[0099] The calibration module 240 is used to obtain the measured overall draw resistance of the cigarette sample, substitute the overall draw resistance into the draw resistance weighted model of the cigarette sample, and combine the filter draw resistance and the tobacco draw resistance to determine the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance.

[0100] Verification module 250 obtains two cigarette samples of the same model, repeats the methods of the above modules, and completes the dual-sample experiment to verify the first and second draw resistance coefficients.

[0101] It should be noted that the microwave-based dynamic segmented cigarette draw resistance detection system and the microwave-based dynamic segmented cigarette draw resistance detection method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the microwave-based dynamic segmented cigarette draw resistance detection system provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the system can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0102] Embodiments of this application also provide a computer device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, enable the computer device to implement the microwave-based dynamic segmented draw resistance detection method for cigarettes provided in the above embodiments.

[0103] Figure 3 A schematic diagram of the structure of a computer system suitable for an embodiment of this application is shown. It should be noted that... Figure 3 The computer system 300 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0104] like Figure 3 As shown, the computer system 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage section 308 into a random access memory (RAM) 303, such as performing the methods described in the above embodiments. Various programs and data required for system operation are also stored in the RAM 303. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304. The following components are connected to the I / O interface 305: an input section 306 including a keyboard, mouse, etc.; an output section 307 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (local area network) card, modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A driver 310 is also connected to the I / O interface 305 as needed. Removable media 311, such as disks, optical discs, magneto-optical discs, semiconductor memories, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0105] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer tool programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs various functions defined in the system of this application.

[0106] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, flash memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. Computer programs contained on computer-readable media can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0107] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0108] The units described in the embodiments of this application can be implemented by tools or by hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the unit itself.

[0109] Another aspect of this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the microwave-based dynamic segmented draw resistance detection method for cigarettes as described above. This computer-readable storage medium may be included in the computer device described in the above embodiments, or it may exist independently and not incorporated into the computer device.

[0110] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the microwave-based dynamic segmented draw resistance detection method for cigarettes provided in the various embodiments described above.

[0111] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A microwave-based method for detecting dynamic segmented draw resistance of cigarettes, characterized in that, Includes the following steps: Step S100: When the initial state of the cigarette sample meets the detection threshold, skip the balancing stage and perform immediate sample injection. Step S200: After the sample is injected, drive the cigarette sample to move at a constant speed and measure the microwave signal point by point according to the preset interval. Alternatively, microwave signals can be synchronously measured based on an array of microwave transceiver units arranged along the length of the cigarette sample. Step S300: Based on the microwave signal and the segmented cross-sectional area of ​​the cigarette sample, calculate the filter resistance and tobacco resistance of the cigarette sample. Step S400: Obtain the measured overall draw resistance of the cigarette sample, substitute the overall draw resistance into the draw resistance weighted model of the cigarette sample, and combine the filter draw resistance and the tobacco draw resistance to determine the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance. Step S500: Obtain two cigarette samples of the same model, and repeat steps S100 to S400 to complete the dual-sample experiment to verify the first and second draw resistance coefficients.

2. The method according to claim 1, characterized in that, In step S100, the detection threshold is a quantitative parameter used to evaluate whether the cigarette sample meets the conditions for immediate detection using a microwave sensor.

3. The method according to claim 2, characterized in that, In step S200, driving the cigarette sample to move at a constant speed and measuring the microwave signal point by point at preset intervals includes: A set of microwave transceiver units is arranged on both sides of the end of the cigarette sample facing the direction of uniform motion to drive the cigarette sample to move at a uniform speed and measure the microwave signal point by point according to the preset interval, wherein the preset interval is matched with the microwave wavelength of the microwave transceiver unit.

4. The method according to claim 2 or 3, characterized in that, In step S300, calculating the filter resistance and tobacco resistance of the cigarette sample includes: Cross-correlation analysis is performed on the microwave signals to determine the time delay between the microwave signals, and the axial segmented average gas velocity is calculated based on the microwave Doppler effect. The gas flow rate of the segment is calculated by combining the average gas velocity of the axial segment and the cross-sectional area of ​​the segment; Based on the segmented gas flow rate, the filter tip resistance and the tobacco resistance are calculated respectively.

5. The method according to claim 4, characterized in that, In step S400, obtaining the measured overall draw resistance of the cigarette sample includes: using a calibrated comprehensive testing platform to test the overall draw resistance of the cigarette sample to obtain the measured overall draw resistance.

6. The method according to claim 5, characterized in that, In step S400, the overall draw resistance is substituted into the draw resistance weighted model of the cigarette sample, and the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance are determined by combining the filter draw resistance and the tobacco draw resistance, including: (Formula 1), In Formula 1, P 总 Indicates the overall suction resistance, P A Indicates the filter tip suction resistance, K A Indicates the first suction resistance coefficient, P B Indicates the draw resistance of the tobacco, K B This represents the second suction resistance coefficient.

7. The method according to claim 6, characterized in that, In step S500, the two cigarette samples of the same model are randomly selected.

8. A microwave-based dynamic segmented draw resistance detection system for cigarettes, characterized in that, include: The sample injection module is used to skip the balancing phase and perform immediate sample injection when the initial state of the cigarette sample meets the detection threshold; The microwave signal measurement module is used to drive the cigarette sample to move at a constant speed after the sample is injected, and to measure the microwave signal point by point at a preset interval. Alternatively, microwave signals can be synchronously measured based on an array of microwave transceiver units arranged along the length of the cigarette sample. The calculation module is used to calculate the filter resistance and tobacco resistance of the cigarette sample based on the microwave signal and the segmented cross-sectional area of ​​the cigarette sample. The calibration module is used to obtain the measured overall draw resistance of the cigarette sample, substitute the overall draw resistance into the draw resistance weighted model of the cigarette sample, and combine the filter draw resistance and the tobacco draw resistance to determine the first draw resistance coefficient corresponding to the filter draw resistance and the second draw resistance coefficient corresponding to the tobacco draw resistance. The verification module obtains two cigarette samples of the same model and repeats the methods of the above modules to complete a dual-sample experiment to verify the first and second draw resistance coefficients.

9. A computer-readable storage medium, characterized in that, It stores computer-readable instructions, which, when executed by the computer's processor, cause the computer to perform the microwave-based dynamic segmented draw resistance detection method for cigarettes as described in any one of claims 1 to 7.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the steps of the microwave-based dynamic segmented draw resistance detection method for cigarettes as described in any one of claims 1 to 7.

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