Method for evaluating comprehensive quality of physical properties of a cigarette

Abstract

The application relates to a method for evaluating the comprehensive quality of the physical characteristics of cigarettes, detecting the physical characteristic indexes of each group and each cigarette, respectively calculating the comprehensive qualified rates of weight, circumference, suction resistance, length and total ventilation rate, and the overall comprehensive qualified rate = the comprehensive qualified rate of weight ^ V * the comprehensive qualified rate of circumference ^ W * the comprehensive qualified rate of suction resistance ^ X * the comprehensive qualified rate of length ^ Y * the comprehensive qualified rate of total ventilation rate ^ Z. According to the method for evaluating the comprehensive quality of the physical characteristics of cigarettes provided in the application, multiple groups of cigarette samples are taken, the physical characteristic indexes of each sample in each group and each cigarette can be detected, the detected physical characteristic indexes can be integrated together to obtain overall physical characteristic index data, the single physical characteristic index situation can be reflected, the comprehensive situation of multiple physical characteristic indexes can be overall reflected, and the quality level of the physical characteristics of the cigarettes can be comprehensively and overall reflected.

Description

Technical Field

[0001] This application relates to the field of cigarette quality testing technology, and in particular to a method for evaluating the comprehensive quality of the physical properties of cigarettes. Background Technology

[0002] During cigarette production, cigarette factories need to test various indicators of the finished cigarettes to verify whether they meet standards. Among these tests, the physical properties of the cigarettes are weight, circumference, draw resistance, length, and total ventilation rate. During production, a sample of multiple cigarettes is taken, and the weight, circumference, draw resistance, length, and total ventilation rate of each cigarette are measured. The average value and standard deviation of each indicator for each cigarette are calculated to determine the physical properties of the current sample. As production continues, multiple more samples are taken and tested using the same method as the first sample, and the average value is calculated again to evaluate the pass rate of the physical properties. However, this method is relatively simplistic, only reflecting the quality level of a single indicator and not providing a direct picture of the overall quality of the cigarette's physical properties. Summary of the Invention

[0003] The purpose of this application is to provide a method for evaluating the overall quality of the physical properties of cigarettes. This method can comprehensively and fully reflect the quality level of the physical properties of cigarettes, thereby effectively solving the shortcomings of the existing technology.

[0004] Therefore, in a first aspect, embodiments of this application provide a method for evaluating the overall quality of the physical properties of cigarettes, comprising the following steps:

[0005] I. Take multiple groups of cigarette samples, with each group containing a number of cigarettes;

[0006] II. Test the physical characteristics of each cigarette in each group in step I. The physical characteristics include weight, circumference, draw resistance, length and total ventilation rate.

[0007] III. Based on the data obtained in step II, calculate the pass rate of each physical characteristic index within the group and the pass rate of each physical characteristic index between the groups. The pass rate of physical characteristic index between the groups corresponds to the average pass rate of the corresponding physical characteristic index within the multiple groups.

[0008] IV. Based on the pass rates of physical characteristic indicators between groups and the corresponding pass rates of standard deviations of physical characteristic indicators between groups, the comprehensive pass rates of the corresponding physical characteristic indicators are obtained, namely: comprehensive pass rate of weight, comprehensive pass rate of circumference, comprehensive pass rate of suction resistance, comprehensive pass rate of length, and comprehensive pass rate of total ventilation rate.

[0009] V. Based on the data obtained in step IV, calculate the overall pass rate of the physical characteristics of this group of cigarettes. The calculation formula is as follows:

[0010] Overall pass rate = Weight pass rate^V * Circumference pass rate^W * Suction resistance pass rate^X * Length pass rate^Y * Total ventilation pass rate^Z.

[0011] In one possible implementation, in step V, V = 0.4, W = 0.1, X = 0.2, Y = 0.1, and Z = 0.2.

[0012] In one possible implementation, step III introduces type A defects, type B defects, and type C defects, wherein:

[0013] Category A defects include: ≥10 cigarettes exceeding the weight limit in the group, ≥10 cigarettes exceeding the circumference limit in the group, ≥5 cigarettes exceeding the suction resistance limit in the group, ≥10 cigarettes exceeding the length limit in the group, and ≥5 cigarettes exceeding the total ventilation rate limit in the group.

[0014] Category B defects include: 10 > 5 cigarettes exceeding the weight limit within a group; 10 > 5 cigarettes exceeding the circumference limit within a group; 5 > 3 cigarettes exceeding the draw resistance limit within a group; 10 > 5 cigarettes exceeding the length limit within a group; 5 > 3 cigarettes exceeding the total ventilation rate limit within a group; the total weight of a single group exceeding the limit is within ±0.2g; the average circumference of a single group of cigarettes exceeds the limit; the average length of a single group of cigarettes exceeds the limit; and the standard deviation of the weight of a single group of cigarettes is >27mg.

[0015] Category C defects include: 1 < number of cigarettes exceeding the weight limit within a group < 5; 1 < number of cigarettes exceeding the circumference limit within a group < 5; 1 < number of cigarettes exceeding the draw resistance limit within a group < 3; 1 < number of cigarettes exceeding the length limit within a group < 5; 1 < number of cigarettes exceeding the total ventilation rate limit within a group < 3; the total weight of a single group of cigarettes exceeding the limit is within ±0.1g; 27mg ≥ standard deviation of single group cigarette weight > 21mg; standard deviation of single group cigarette circumference > 0.085mm; standard deviation of single group cigarette draw resistance > 55Pa; standard deviation of single group cigarette length > 0.24mm; and standard deviation of single group cigarette total ventilation rate > 3.5%.

[0016] In step III, when calculating the overall pass rate of the corresponding physical characteristic indicators, for each occurrence of a Class A defect, 0.5% of the average pass rate of the corresponding physical characteristic indicator is deducted; for each occurrence of a Class B defect, 0.1% of the average pass rate of the corresponding physical characteristic indicator is deducted; and for each occurrence of a Class C defect, 0.02% of the average pass rate of the corresponding physical characteristic indicator is deducted, thus obtaining the corresponding inter-group pass rate of the physical characteristic indicators.

[0017] In one possible implementation, when calculating the inter-group standard deviation pass rate of the corresponding physical characteristic indexes in step IV:

[0018] Inter-group standard deviation pass rate of cigarette weight = cigarette weight standard deviation pass rate - corresponding number of Class B defects * 0.1 - corresponding number of Class C defects * 0.02;

[0019] The pass rate of the standard deviation of cigarette circumference between groups = the pass rate of the standard deviation of cigarette circumference - the corresponding number of Class C defects * 0.02;

[0020] Inter-group standard deviation pass rate of cigarette draw resistance = standard deviation pass rate of cigarette draw resistance - corresponding number of Class C defects * 0.02;

[0021] Inter-group standard deviation pass rate for cigarette length = standard deviation pass rate for cigarette length - corresponding number of Class C defects * 0.02;

[0022] The pass rate of the standard deviation of the total ventilation rate of cigarettes between groups = the pass rate of the standard deviation of the total ventilation rate of cigarettes - the corresponding number of Class C defects * 0.02.

[0023] In one possible implementation, when calculating the overall pass rate of the corresponding physical characteristic indicators in step IV:

[0024] The overall pass rate of physical property indicators = the pass rate of physical property indicators between corresponding groups^0.7 * the pass rate of standard deviation between corresponding groups^0.3.

[0025] In one possible implementation, formula one for calculating the pass rate of each physical characteristic index within the corresponding group is:

[0026] p=[Φ((USL-μ) / σ)-Φ((LSL-μ) / σ)]×100%

[0027] In Formula 1: p is the pass rate, USL is the upper specification limit, LSL is the lower specification limit, μ is the mean of the corresponding physical property index, and σ is the standard deviation.

[0028] In one possible implementation, formula two for calculating the standard deviation is:

[0029]

[0030] In Formula 2, n is the number of cigarettes in a single group, i = 1, 2, ..., n; σ is the corresponding standard deviation; x i These are the corresponding physical property index values; This represents the average value of the corresponding physical property index.

[0031] In one possible implementation, the number of cigarettes in each group of cigarette samples in step I is the same.

[0032] In one possible implementation, in step I, the number of cigarettes in each group of cigarette samples is 20.

[0033] In one possible implementation, in step I, each group of cigarette samples is obtained at different time points.

[0034] According to the method for evaluating the overall quality of cigarette physical characteristics provided in the embodiments of this application, multiple groups of cigarette samples are sampled, and various physical characteristic indicators can be tested on each cigarette and each group of samples. Furthermore, the detected physical characteristic indicators can be integrated together to obtain overall physical characteristic indicator data. This can reflect the situation of individual physical characteristic indicators as well as the overall situation of multiple physical characteristic indicators, making it convenient to comprehensively and holistically reflect the quality level of cigarette physical characteristics. Attached Figure Description

[0035] Figure 1 A flowchart illustrating the analysis of cigarette weight within a group in the method provided in this application embodiment;

[0036] Figure 2 A flowchart illustrating the analysis of cigarette weight between groups in the method provided in this application embodiment;

[0037] Figure 3 A flowchart illustrating the analysis of the circumference of cigarettes within a group in the method provided in this application embodiment;

[0038] Figure 4 A flowchart illustrating the analysis of the intergroup cigarette circumference in the method provided in this application embodiment;

[0039] Figure 5 A flowchart illustrating the analysis of intra-group cigarette draw resistance in the method provided in this application embodiment;

[0040] Figure 6 A flowchart illustrating the analysis of inter-group cigarette draw resistance in the method provided in this application embodiment;

[0041] Figure 7 A flowchart illustrating the analysis of cigarette length within a group in the method provided in this application embodiment;

[0042] Figure 8 A flowchart illustrating the analysis of inter-group cigarette length in the method provided in this application embodiment;

[0043] Figure 9 A flowchart illustrating the analysis of the total ventilation rate of cigarettes within a group in the method provided in this application embodiment;

[0044] Figure 10 A flowchart illustrating the analysis of the total ventilation rate of cigarettes between groups in the method provided in this application embodiment;

[0045] Figure 11 A flowchart illustrating the overall pass rate analysis of the physical property indicators of cigarettes in the method provided in this application embodiment. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0047] like Figures 1-11 As shown in the embodiments of this application, a method for evaluating the overall quality of the physical properties of cigarettes is provided. This method preferably includes the following steps:

[0048] I. Take multiple groups of cigarette samples, with each group containing a number of cigarettes;

[0049] II. Test the physical characteristics of each cigarette in each group in step I. The physical characteristics include weight, circumference, draw resistance, length and total ventilation rate.

[0050] III. Based on the data obtained in step II, calculate the pass rate of each physical characteristic index within the group and the pass rate of each physical characteristic index between the groups. The pass rate of physical characteristic index between the groups corresponds to the average pass rate of the corresponding physical characteristic index within the multiple groups.

[0051] IV. Based on the pass rates of physical characteristic indicators between groups and the corresponding pass rates of standard deviations of physical characteristic indicators between groups, the comprehensive pass rates of the corresponding physical characteristic indicators are obtained, namely: comprehensive pass rate of weight, comprehensive pass rate of circumference, comprehensive pass rate of suction resistance, comprehensive pass rate of length, and comprehensive pass rate of total ventilation rate.

[0052] V. Based on the data obtained in step IV, calculate the overall pass rate of the physical characteristics of this group of cigarettes. The calculation formula is as follows:

[0053] Overall pass rate = Weight pass rate^V * Circumference pass rate^W * Suction resistance pass rate^X * Length pass rate^Y * Total ventilation pass rate^Z.

[0054] Preferably, in step V, V = 0.4, W = 0.1, X = 0.2, Y = 0.1, Z = 0.2, which means the overall pass rate = weight pass rate^0.4 * circumference pass rate^0.1 * suction resistance pass rate^0.2 * length pass rate^0.1 * total ventilation pass rate^0.2.

[0055] In step III, Class A defects, Class B defects, and Class C defects are introduced, among which:

[0056] Category A defects include: ≥10 cigarettes exceeding the weight limit in the group, ≥10 cigarettes exceeding the circumference limit in the group, ≥5 cigarettes exceeding the suction resistance limit in the group, ≥10 cigarettes exceeding the length limit in the group, and ≥5 cigarettes exceeding the total ventilation rate limit in the group.

[0057] Category B defects include: 10 > 5 cigarettes exceeding the weight limit within a group; 10 > 5 cigarettes exceeding the circumference limit within a group; 5 > 3 cigarettes exceeding the draw resistance limit within a group; 10 > 5 cigarettes exceeding the length limit within a group; 5 > 3 cigarettes exceeding the total ventilation rate limit within a group; the total weight of a single group exceeding the limit is within ±0.2g; the average circumference of a single group of cigarettes exceeds the limit; the average length of a single group of cigarettes exceeds the limit; and the standard deviation of the weight of a single group of cigarettes is >27mg.

[0058] Category C defects include: 1 < number of cigarettes exceeding the weight limit within a group < 5; 1 < number of cigarettes exceeding the circumference limit within a group < 5; 1 < number of cigarettes exceeding the draw resistance limit within a group < 3; 1 < number of cigarettes exceeding the length limit within a group < 5; 1 < number of cigarettes exceeding the total ventilation rate limit within a group < 3; the total weight of a single group of cigarettes exceeding the limit is within ±0.1g; 27mg ≥ standard deviation of single group cigarette weight > 21mg; standard deviation of single group cigarette circumference > 0.085mm; standard deviation of single group cigarette draw resistance > 55Pa; standard deviation of single group cigarette length > 0.24mm; and standard deviation of single group cigarette total ventilation rate > 3.5%.

[0059] In step III, when calculating the overall pass rate of the corresponding physical characteristic indicators, for each occurrence of a Class A defect, 0.5% of the average pass rate of the corresponding physical characteristic indicator is deducted; for each occurrence of a Class B defect, 0.1% of the average pass rate of the corresponding physical characteristic indicator is deducted; and for each occurrence of a Class C defect, 0.02% of the average pass rate of the corresponding physical characteristic indicator is deducted, thus obtaining the corresponding inter-group pass rate of the physical characteristic indicators.

[0060] More preferably, in step IV, when calculating the inter-group standard deviation pass rate of the corresponding physical characteristic index:

[0061] Inter-group standard deviation pass rate of cigarette weight = cigarette weight standard deviation pass rate - corresponding number of Class B defects * 0.1 - corresponding number of Class C defects * 0.02;

[0062] The pass rate of the standard deviation of cigarette circumference between groups = the pass rate of the standard deviation of cigarette circumference - the corresponding number of Class C defects * 0.02;

[0063] Inter-group standard deviation pass rate of cigarette draw resistance = standard deviation pass rate of cigarette draw resistance - corresponding number of Class C defects * 0.02;

[0064] Inter-group standard deviation pass rate for cigarette length = standard deviation pass rate for cigarette length - corresponding number of Class C defects * 0.02;

[0065] The pass rate of the standard deviation of the total ventilation rate of cigarettes between groups = the pass rate of the standard deviation of the total ventilation rate of cigarettes - the corresponding number of Class C defects * 0.02.

[0066] In step IV, when calculating the overall pass rate of the corresponding physical property indicators:

[0067] The overall pass rate of physical property indicators = the pass rate of physical property indicators between corresponding groups^0.7 * the pass rate of standard deviation between corresponding groups^0.3.

[0068] Formula one for calculating the pass rate of each physical property index within the corresponding group is:

[0069] p=[Φ((USL-μ) / σ)-Φ((LSL-μ) / σ)]×100%

[0070] In Formula 1: p is the pass rate, USL is the upper specification limit, LSL is the lower specification limit, μ is the mean of the corresponding physical property index, and σ is the standard deviation.

[0071] Formula 2 for calculating the standard deviation is:

[0072]

[0073] In Formula 2, n is the number of cigarettes in a single group, i = 1, 2, ..., n; σ is the corresponding standard deviation; x i These are the corresponding physical property index values; This represents the average value of the corresponding physical property index.

[0074] Preferably, the number of cigarettes in each group of cigarette samples is the same in step I.

[0075] In some examples, the number of cigarettes in each group of cigarette samples was 20.

[0076] In step I, each group of cigarette samples is obtained at different time points. For example, a certain period of production can be selected, during which each group of cigarette samples is taken at even time intervals for testing. In some feasible examples, a one-month period is selected, with one group of cigarettes taken on the first day for testing, and then another group of cigarettes taken every 10 days for testing. Alternatively, a group of cigarettes can be taken every 1, 2, or 3 days for testing.

[0077] In some examples, the testing and evaluation procedures are illustrated for cigarette samples with 20 cigarettes per group:

[0078] For the evaluation of cigarette weight, the first step is to evaluate the weight of cigarettes within the same group, such as... Figure 1 As shown, each group contains 20 cigarettes. The weight of each cigarette is analyzed according to the corresponding process standards. If the weight of the cigarette is within the standard requirements, it is qualified; if it exceeds the standard requirements, it is unqualified. The number of unqualified cigarettes in the group is counted. If the number of unqualified cigarettes is ≥10, the quality of the cigarettes in the group is judged as Class A defect. If 10 > number of unqualified cigarettes ≥5, the quality of the cigarettes in the group is judged as Class B defect. If 5 > number of unqualified cigarettes ≥1, the quality of the cigarettes in the group is judged as Class C defect. Otherwise, it is normal.

[0079] Calculate the weight of 20 cigarettes and judge the weight of the 20 cigarettes according to the corresponding process standard requirements. If the weight of the 20 cigarettes exceeds the standard requirement range, if the excess is ±0.20g, the weight of the cigarettes is judged as a Class B defect. If the excess is ±0.10g, the weight of the cigarettes is judged as a Class C defect. Otherwise, it is normal.

[0080] Calculate the average weight of 20 cigarettes.

[0081] The standard deviation of the weight of 20 cigarettes is calculated using a formula, and the standard deviation is judged. If the standard deviation is >27mg, the standard deviation of the group of cigarettes is judged as a Class B defect. If 27mg ≥ standard deviation >21mg, the standard deviation of the group of cigarettes is judged as a Class C defect. Otherwise, it is normal.

[0082] Based on the average weight, standard deviation of weight, and corresponding standard requirements, the cigarette weight qualification rate of this group of cigarettes is calculated.

[0083] Evaluation of cigarette weight between groups, such as Figure 2 As shown, the standard deviation of cigarette weight between groups is judged. If the standard deviation is ≤21mg, it is judged as qualified; otherwise, it is judged as unqualified. The number of qualified and unqualified groups is counted. The standard deviation pass rate is calculated according to the formula: Standard deviation pass rate = number of qualified ÷ (number of qualified + number of unqualified).

[0084] Sum up the Class B defects of weight standard deviation and Class C defects of weight standard deviation separately according to the weight standard deviation, and obtain the sum of the number of Class B defects of weight standard deviation and the sum of the number of Class C defects of weight standard deviation.

[0085] Using the formula: standard deviation qualification rate - sum of the number of Class B defects of weight standard deviation × 0.1 - sum of the number of Class C defects of weight standard deviation × 0.02, the inter-group standard deviation qualification rate is obtained.

[0086] Calculate the average value of inter-group weight qualification rate based on the weight qualification rate data, sum up all the number of Class A defects, Class B defects and Class C defects, and calculate the inter-group weight qualification rate according to the formula: average weight qualification rate - sum of the number of Class A defects × 0.5 - sum of the number of Class B defects × 0.1 - sum of the number of Class C defects × 0.02.

[0087] Using the formula: inter-group weight qualification rate^0.7 × inter-group standard deviation qualification rate^0.3, the comprehensive weight qualification rate is obtained.

[0088] For the detection and evaluation of cigarette circumference, the intra-group detection and evaluation of cigarette circumference is also carried out first, as Figure 3 shown, there are 20 cigarettes in each group. Analyze the circumference of each cigarette according to the corresponding process standard requirements. If the cigarette circumference is within the standard requirement range, it is qualified; if it exceeds the standard requirement range, it is unqualified. Count the number of unqualified cigarettes in the group. If the number of unqualified cigarettes ≥ 10, the cigarette quality of this group is determined as Class A defect; if 10 > number of unqualified cigarettes ≥ 5, the cigarette quality of this group is determined as Class B defect; if 5 > number of unqualified cigarettes ≥ 1, the cigarette quality of this group is determined as Class C defect; otherwise, it is normal.

[0089] Calculate the average circumference of 20 cigarettes, and judge the average circumference according to the corresponding process standard requirements. If the average circumference exceeds the standard requirement range, the cigarette circumference of this group is determined as Class C defect; otherwise, it is normal.

[0090] Calculate the circumference standard deviation of 20 cigarettes, and judge the standard deviation. If the standard deviation > 0.085mm, the standard deviation of this group of cigarettes is determined as Class C defect; otherwise, it is normal.

[0091] Calculate the cigarette circumference qualification rate of this group of cigarettes based on the average circumference, circumference standard deviation and corresponding standard requirements.

[0092] For the detection and evaluation of inter-group cigarette circumference, as Figure 4 shown, judge the inter-group cigarette circumference standard deviation. If the standard deviation ≤ 0.06mm, it is determined as qualified; otherwise, it is determined as unqualified. Count the number of qualified and unqualified inter-group standard deviations, and calculate the standard deviation qualification rate according to the formula: standard deviation qualification rate = number of qualified ÷ (number of qualified + number of unqualified).

[0093] The sum of the number of Class C defects based on the circumferential standard deviation is obtained.

[0094] The inter-group standard deviation pass rate can be obtained using the formula: Standard deviation pass rate - (Sum of Class C defects with circumferential standard deviation) × 0.02.

[0095] Calculate the average circumferential pass rate between groups based on the circumferential pass rate data. Sum the number of all Class A defects, Class B defects, and Class C defects. Calculate the inter-group circumferential pass rate using the formula: Average circumferential pass rate - Sum of Class A defects × 0.5 - Sum of Class B defects × 0.1 - Sum of Class C defects × 0.02.

[0096] The overall pass rate of the circumference is obtained using the formula: Inter-group circumference pass rate^0.7 × Inter-group standard deviation pass rate^0.3.

[0097] Similarly, in the evaluation of cigarette draw resistance, the intra-group cigarette draw resistance evaluation should be conducted first, such as... Figure 5 As shown, each group contains 20 cigarettes. The draw resistance of each cigarette is analyzed according to the corresponding process standards. If the draw resistance is within the standard requirements, it is considered qualified; otherwise, it is considered unqualified. The number of unqualified cigarettes in the group is counted. If the number of unqualified cigarettes is ≥5, the quality of the cigarettes in the group is judged as Class A defect. If 5 > ≥3, the quality of the cigarettes in the group is judged as Class B defect. If 3 > ≥1, the quality of the cigarettes in the group is judged as Class C defect. Otherwise, it is considered normal.

[0098] Calculate the average draw resistance of 20 cigarettes, then calculate the standard deviation of the draw resistance of the 20 cigarettes, and judge the standard deviation. If the standard deviation is >55 Pa, the standard deviation of the group of cigarettes is judged to be a Class C defect; otherwise, it is normal.

[0099] The cigarette draw resistance pass rate of this group of cigarettes was calculated based on the mean draw resistance, standard deviation of draw resistance, and corresponding standard requirements.

[0100] Then, the inter-group cigarette smoking resistance was tested and evaluated, such as... Figure 6 As shown, the standard deviation of cigarette draw resistance between groups is judged. If the standard deviation is ≤0.06mm, it is judged as qualified; otherwise, it is judged as unqualified. The number of qualified and unqualified groups is counted. The standard deviation pass rate is calculated according to the formula: Standard deviation pass rate = number of qualified ÷ (number of qualified + number of unqualified).

[0101] The sum of the number of Class C defects based on the standard deviation of suction resistance is obtained.

[0102] The inter-group standard deviation pass rate is obtained using the formula: Standard deviation pass rate - (Sum of Class C defects in suction resistance) × 0.02.

[0103] Calculate the average inter-group suction resistance pass rate based on the suction resistance pass rate data. Sum the number of all Class A defects, Class B defects, and Class C defects. Calculate the inter-group suction resistance pass rate using the formula: Average suction resistance pass rate - Sum of Class A defects × 0.5 - Sum of Class B defects × 0.1 - Sum of Class C defects × 0.02.

[0104] The overall pass rate of suction resistance is obtained using the formula: Intergroup suction resistance pass rate^0.7 × Intergroup standard deviation pass rate^0.3.

[0105] Similarly, in the evaluation of cigarette length, the evaluation of cigarette length within a group is performed first, such as... Figure 7 As shown, each group contains 20 cigarettes. The length of each cigarette is analyzed according to the corresponding process standards. If the length is within the standard requirements, it is considered qualified; otherwise, it is considered unqualified. The number of unqualified cigarettes in the group is counted. If the number of unqualified cigarettes is ≥10, the quality of the cigarettes in the group is judged as Class A defect. If 10 > ≥5, the quality of the cigarettes in the group is judged as Class B defect. If 5 > ≥1, the quality of the cigarettes in the group is judged as Class C defect. Otherwise, it is considered normal.

[0106] Calculate the average length of 20 cigarettes and judge the average length according to the corresponding process standard requirements. If the average length exceeds the standard requirement range, the circumference of the cigarettes in this group is judged as a Class C defect; otherwise, it is normal.

[0107] Calculate the standard deviation of the length of 20 cigarettes and determine the standard deviation. If the standard deviation is >0.24mm, the standard deviation of this group of cigarettes is determined to be a Class C defect; otherwise, it is normal.

[0108] The cigarette length qualification rate of this group of cigarettes was calculated based on the mean length, standard deviation of length, and corresponding standard requirements.

[0109] Then, the length of cigarettes between groups was measured and evaluated, such as... Figure 8 As shown, the standard deviation of cigarette length between groups is judged. If the standard deviation is ≤0.16mm, it is judged as qualified; otherwise, it is judged as unqualified. The number of qualified and unqualified groups is counted. The standard deviation pass rate is calculated according to the formula: Standard deviation pass rate = number of qualified ÷ (number of qualified + number of unqualified).

[0110] The sum of the number of Class C defects based on the length standard deviation is obtained.

[0111] The inter-group standard deviation pass rate can be obtained using the formula: Standard Deviation Pass Rate - Sum of Length Standard Deviations and Class C Defects × 0.02.

[0112] Calculate the average inter-group length qualification rate based on the length qualification rate data, sum up all Class A defects, Class B defects and Class C defects, and calculate the inter-group length qualification rate according to the formula: average length qualification rate − sum of Class A defects × 0.5 − sum of Class B defects × 0.1 − sum of Class C defects × 0.02.

[0113] Obtain the comprehensive length qualification rate by using the formula: inter-group length qualification rate^0.7 × inter-group standard deviation qualification rate^0.3.

[0114] Similarly, in the detection and evaluation of the total ventilation rate of cigarettes, the detection and evaluation of the total ventilation rate of cigarettes within a group is carried out first, as Figure 9 shown, there are 20 cigarettes in each group. The total ventilation rate of each cigarette is analyzed according to the corresponding process standard requirements. If the total ventilation rate of a cigarette is within the range required by the standard, it is qualified; if it exceeds the range required by the standard, it is unqualified. Count the number of unqualified cigarettes within the group. If the number of unqualified cigarettes ≥ 5, the quality of this group of cigarettes is determined as a Class A defect; if 5 > the number of unqualified cigarettes ≥ 3, the quality of this group of cigarettes is determined as a Class B defect; if 3 > the number of unqualified cigarettes ≥ 1, the quality of this group of cigarettes is determined as a Class C defect; otherwise, it is normal.

[0115] Calculate the average total ventilation rate of 20 cigarettes, then calculate the standard deviation of the total ventilation rate of 20 cigarettes, and judge the standard deviation. If the standard deviation > 3.5%, the standard deviation of this group of cigarettes is determined as a Class C defect; otherwise, it is normal.

[0116] Calculate the total ventilation rate qualification rate of cigarettes in this group based on the average total ventilation rate, the standard deviation of total ventilation rate and corresponding standard requirements.

[0117] Then carry out the detection and evaluation of the total ventilation rate of cigarettes between groups, as Figure 10 shown, judge the standard deviation of the total ventilation rate of cigarettes between groups. If the standard deviation ≤ 2.2%, it is determined to be qualified; otherwise, it is determined to be unqualified. Count the number of qualified and unqualified inter-group standard deviations, and calculate the standard deviation qualification rate according to the formula: standard deviation qualification rate = number of qualified ÷ (number of qualified + number of unqualified).

[0118] Sum the Class C defects of total ventilation rate standard deviation to obtain the sum of Class C defects of total ventilation rate standard deviation.

[0119] Obtain the inter-group standard deviation qualification rate by using the formula: standard deviation qualification rate − sum of Class C defects of total ventilation rate standard deviation × 0.02.

[0120] Calculate the average overall ventilation rate pass rate between groups based on the overall ventilation rate pass rate data. Sum the number of all Class A defects, Class B defects, and Class C defects. Calculate the overall ventilation rate pass rate between groups using the formula: Average overall ventilation rate pass rate - Sum of Class A defects × 0.5 - Sum of Class B defects × 0.1 - Sum of Class C defects × 0.02.

[0121] The overall pass rate of total ventilation is obtained by using the formula: Total ventilation pass rate between groups^0.7 × Standard deviation between groups^0.3.

[0122] Then, an overall pass rate evaluation is conducted, such as... Figure 11 As shown, based on the overall pass rate of the above physical characteristic indicators, the final overall pass rate value is calculated using the formula: Overall pass rate of weight^0.4 × Overall pass rate of circumference^0.1 × Overall pass rate of suction resistance^0.2 × Overall pass rate of length^0.1 × Overall pass rate of total ventilation rate^0.2. The final overall pass rate value is then converted into an overall quality score using the formula "Overall pass rate × 100".

[0123] The overall pass rate = weight pass rate^0.4 * circumference pass rate^0.1 * suction resistance pass rate^0.2 * length pass rate^0.1 * total ventilation rate pass rate^0.2 is actually the determination of the weights of the cigarette's physical characteristics. That is, the determination of the weights of each physical characteristic of the cigarette, such as weight, circumference, suction resistance, length, and total ventilation rate. Based on the importance of each quality characteristic to product quality and sensory quality, as well as its impact on the next process, the weights are determined as follows: cigarette weight weight: 0.4, cigarette circumference weight: 0.1, cigarette suction resistance weight: 0.2, cigarette length weight: 0.1, and cigarette total ventilation rate weight: 0.2.

[0124] Similarly, the overall pass rate of physical characteristic indicators = the pass rate of the corresponding inter-group physical characteristic indicators^0.7 * the pass rate of the corresponding inter-group standard deviation^0.3 is also used to determine the weight of the pass rate of physical characteristics of cigarettes and the pass rate of standard deviation. Based on production experience and the degree of influence of these two indicators on product quality, the final weight is determined as follows: the pass rate of physical characteristics of cigarettes is 0.7, and the pass rate of standard deviation of cigarettes is 0.3.

[0125] In summary, when analyzing the physical properties of cigarettes, including weight, circumference, draw resistance, length, and total ventilation rate, using the method of this application, not only can data for each individual indicator be obtained, but also a comprehensive analysis of each indicator can be performed to obtain data that reflects the overall physical properties of the cigarette, which is beneficial for a holistic and comprehensive understanding of the physical properties of the cigarette.

[0126] In one example, a comprehensive testing bench was used to test a group of 20 cigarettes of a certain brand. The test results for each cigarette are shown in Table 1 below:

[0127] 1 903 24.194 1096 83.76 23.5 2 865 24.204 1005 83.81 19.3 3 893 24.256 997 83.75 22.2 4 886 24.227 1041 83.72 20.2 5 918 24.278 1029 83.74 23.5 6 885 24.243 1025 83.78 18.9 7 894 24.204 1025 83.85 22.5 8 871 24.133 1044 83.96 21.5 9 900 24.205 1033 83.83 19.8 10 814 24.235 1009 83.93 19 11 876 24.199 1056 84.05 19.7 12 888 24.172 1092 83.95 19.8 13 898 24.28 1092 83.68 21.4 14 883 24.149 1108 83.74 20.8 15 906 24.199 1113 84.15 20 16 910 24.24 1085 83.72 19.1 17 876 24.192 1085 83.79 22 18 812 24.194 1056 83.74 20.9 19 921 24.204 1104 83.9 21.6 20 864 24.243 1025 83.94 19.9

[0128] Table 1: Test Results of Various Indicators of Cigarettes

[0129] Comparing the cigarettes to the manufacturing standards for this group, it was found that the weight of the 10th and 18th cigarettes exceeded the standard range, resulting in 2 unqualified cigarettes. Since 5 > number of unqualified cigarettes ≥ 1, this is counted as 1 Class C defect. Comparing the cigarettes to the manufacturing standards for this brand, it was found that the draw resistance of the 14th, 15th, and 19th cigarettes exceeded the standard range, resulting in 3 unqualified cigarettes. Since 5 > number of unqualified cigarettes ≥ 3, this is counted as 1 Class B defect. All other indicators are within the standard requirements.

[0130] The mean and standard deviation of various physical properties of the above 20 cigarettes are calculated and shown in Table 2 below:

[0131] mean 883.15 24.213 1056 83.8 20.78 Standard deviation 28.86 0.04 37.65 0.12 1.44

[0132] Table 2: Mean and Standard Deviation of Various Indicators for Cigarettes

[0133] The weight of 20 cigarettes is calculated to be 17.66g. According to the process standard for this brand (weight of 20 cigarettes: 17.70±0.30g), the weight of 20 cigarettes is within the standard requirement range.

[0134] Analysis showed that the average values ​​of various indicators, including circumference, suction resistance, length, and total ventilation rate, were all within the standard requirements.

[0135] The standard deviation of each indicator was analyzed. The standard deviation of weight was 28.86 mg > 27 mg, and there was one Class B defect. All other defects were within the standard requirements.

[0136] Combining the target values ​​and tolerance requirements of each indicator in the process standard for this grade, the pass rate of each indicator was calculated using the formula "p=[Φ((USL-μ) / σ)-Φ((LSL-μ) / σ)]×100%" as shown in Table 3 below:

[0137] Target value 885 24.2 950 84 23 Allowance 70 0.2 150 0.5 10 Pass rate (%) 98.45 100.00 87.87 99.68 100.00

[0138] Table 3: Pass Rate of Various Indicators for Cigarettes

[0139] Evaluation and analysis of cigarette weight, circumference, draw resistance, length, and total ventilation rate among groups: Ten groups of cigarette samples were tested at certain time intervals, and inter-group data were statistically analyzed. The physical characteristic index data are shown in Table 4 below.

[0140]

[0141] Table 4: Statistical Analysis of Cigarette Index Groups

[0142] The pass rates between groups, the pass rates of standard deviation between groups, and the overall pass rates of each physical property index were then calculated separately, as shown in Table 5 below:

[0143] Intergroup pass rate 99.3 99.42 99.53 99.53 99.94 Between-group standard deviation pass rate 89.97 94.15 96.34 91.13 96.36 Overall pass rate 96.40 97.81 98.56 96.93 98.85

[0144] Table 5: Overall Pass Rate of Cigarette Indicators

[0145] Using the formula: weight comprehensive pass rate^0.4 × circumference comprehensive pass rate^0.1 × suction resistance comprehensive pass rate^0.2 × length comprehensive pass rate^0.1 × total ventilation rate comprehensive pass rate^0.2, the final overall comprehensive pass rate is calculated to be 97.51%. Therefore, the evaluation result of the comprehensive quality of the cigarette's physical characteristics index in this evaluation is 97.51 points.

[0146] It should be noted that the terms "one embodiment," "embodiment," "exemplary embodiment," "some embodiments," etc., mentioned in the specification indicate that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, such phrases do not necessarily refer to the same embodiment. Moreover, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments, whether explicitly described or not, is within the knowledge scope of those skilled in the art.

[0147] It should be readily understood that the terms “on,” “above,” and “on top of” in this disclosure should be interpreted in the broadest possible sense, such that “on” means not only “directly on something” but also “on something” with an intermediate feature or layer therebetween, and that “above” or “on top of” means not only “on top of something” but also “on top of something” without an intermediate feature or layer therebetween (i.e., directly on something).

[0148] Furthermore, for ease of explanation, spatially relative terms such as "below," "below," "under," "above," and "above" may be used to describe the relationship of one element or feature relative to other elements or features as shown in the figures. Spatially relative terms are intended to encompass different orientations of the device in use or operation other than those shown in the figures. The device may have other orientations (rotated 90 degrees or in other orientations), and the spatially relative descriptive terms used herein may be interpreted accordingly.

[0149] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0150] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for evaluating the comprehensive quality of the physical properties of cigarettes, characterized in that, Includes the following steps: I. Take multiple groups of cigarette samples, with each group containing a number of cigarettes; II. Test the physical characteristics of each cigarette in each group in step I. The physical characteristics include weight, circumference, draw resistance, length and total ventilation rate. III. Based on the data obtained in step II, calculate the pass rate of each physical characteristic index within the group and the pass rate of each physical characteristic index between the groups. The pass rate of physical characteristic index between the groups corresponds to the average pass rate of the corresponding physical characteristic index within the multiple groups. When calculating the overall pass rate of the corresponding physical characteristic indicators, for each Class A defect, 0.5% of the average pass rate of the corresponding physical characteristic indicator is deducted; for each Class B defect, 0.1% is deducted; and for each Class C defect, 0.02% is deducted. This yields the corresponding inter-group pass rate of the physical characteristic indicators, where: The Class A defects include: ≥10 cigarettes exceeding the weight limit in the group, ≥10 cigarettes exceeding the circumference limit in the group, ≥5 cigarettes exceeding the suction resistance limit in the group, ≥10 cigarettes exceeding the length limit in the group, and ≥5 cigarettes exceeding the total ventilation rate limit in the group. The Class B defects include: 10 > 5 cigarettes exceeding the weight limit within a group; 10 > 5 cigarettes exceeding the circumference limit within a group; 5 > 3 cigarettes exceeding the draw resistance limit within a group; 10 > 5 cigarettes exceeding the length limit within a group; 5 > 3 cigarettes exceeding the total ventilation rate limit within a group; the total weight of a single group exceeding the limit is within ±0.2g; the average circumference of a single group of cigarettes exceeds the limit; the average length of a single group of cigarettes exceeds the limit; and the standard deviation of the weight of a single group of cigarettes is >27mg. The Class C defects include: 1 < number of cigarettes exceeding the weight limit within a group < 5; 1 < number of cigarettes exceeding the circumference limit within a group < 5; 1 < number of cigarettes exceeding the draw resistance limit within a group < 3; 1 < number of cigarettes exceeding the length limit within a group < 5; 1 < number of cigarettes exceeding the total ventilation rate limit within a group < 3; the total weight of a single group of cigarettes exceeding the limit is within ±0.1g; 27mg ≥ standard deviation of single group cigarette weight > 21mg; standard deviation of single group cigarette circumference > 0.085mm; standard deviation of single group cigarette draw resistance > 55Pa; standard deviation of single group cigarette length > 0.24mm; and standard deviation of single group cigarette total ventilation rate > 3.5%. IV. Based on the inter-group physical characteristic index pass rates and the corresponding inter-group standard deviation pass rates of physical characteristic indices, the comprehensive pass rates of the corresponding physical characteristic indices are obtained, namely: comprehensive pass rate of weight, comprehensive pass rate of circumference, comprehensive pass rate of suction resistance, comprehensive pass rate of length, and comprehensive pass rate of total ventilation rate, where: Inter-group standard deviation pass rate of cigarette weight = cigarette weight standard deviation pass rate - corresponding number of Class B defects * 0.1 - corresponding number of Class C defects * 0.02; The pass rate of the standard deviation of cigarette circumference between groups = the pass rate of the standard deviation of cigarette circumference - the corresponding number of Class C defects * 0.02; Inter-group standard deviation pass rate of cigarette draw resistance = standard deviation pass rate of cigarette draw resistance - corresponding number of Class C defects * 0.02; Inter-group standard deviation pass rate for cigarette length = standard deviation pass rate for cigarette length - number of corresponding Class C defects * 0.02; The pass rate of the standard deviation of the total ventilation rate of cigarettes between groups = the pass rate of the standard deviation of the total ventilation rate of cigarettes - the corresponding number of Class C defects * 0.02; The standard deviation pass rate of cigarette weight, circumference, draw resistance, length, and total ventilation rate is calculated as follows: Standard deviation pass rate = Number of qualified cigarettes ÷ (Number of qualified cigarettes + Number of unqualified cigarettes). V. Based on the data obtained in step IV, calculate the overall pass rate of the physical characteristics of this group of cigarettes. The calculation formula is as follows: Overall pass rate = weight pass rate^V * circumference pass rate^W * suction resistance pass rate^X * length pass rate^Y * total ventilation pass rate^Z, where V=0.4, W=0.1, X=0.2, Y=0.1, Z=0.

2.

2. The method for evaluating the comprehensive quality of the physical properties of cigarettes according to claim 1, characterized in that: In step IV, when calculating the overall pass rate of the corresponding physical characteristic indicators: The overall pass rate of physical property indicators = the pass rate of physical property indicators between groups^0.7 * the pass rate of standard deviation between groups^0.

3.

3. The method for evaluating the comprehensive quality of the physical properties of cigarettes according to claim 2, characterized in that: Formula one for calculating the pass rate of each physical property index within the corresponding group is: p=[Φ((USL-μ) / σ)-Φ((LSL-μ) / σ)]×100% In Formula 1: p is the pass rate, USL is the upper specification limit, LSL is the lower specification limit, μ is the mean of the corresponding physical property index, and σ is the standard deviation.

4. The method for evaluating the comprehensive quality of the physical properties of cigarettes according to claim 3, characterized in that: Formula 2 for calculating the standard deviation is: ， In Formula 2, n is the number of cigarettes in a single group, i = 1, 2, ..., n; σ is the corresponding standard deviation; x i These are the corresponding physical property index values; This represents the average value of the corresponding physical property index.

5. The method for evaluating the comprehensive quality of the physical properties of cigarettes according to claim 1, characterized in that: In step I, the number of cigarettes in each group of cigarette samples is the same.

6. The method for evaluating the comprehensive quality of the physical properties of a cigarette according to claim 5, characterized in that: In step I, the number of cigarettes in each group of cigarette samples is 20.

7. The method for evaluating the comprehensive quality of the physical properties of cigarettes according to claim 1, characterized in that: In step I, each group of cigarette samples was obtained at different time points.

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