Smoking machine trailing phenomenon analysis method for conventional analysis

Abstract

The invention provides a smoking machine trailing phenomenon analysis method for conventional analysis, which utilizes a numerical value creation mode to reproduce a graph corresponding to a smoking machine trailing phenomenon, and finally enables the graph to be consistent with the graph corresponding to the smoking machine trailing phenomenon, so that the graph is parameterized, and the result is more accurate. A parameterized research tool is provided for analysis work of the trailing phenomenon of the smoking machine, and convenience is provided.

Description

Technical Field

[0001] This invention relates to the field of cigarette smoke analysis technology, and more specifically, to a method for analyzing the trailing phenomenon of conventional smoking machines. Background Technology

[0002] Smoke gas analysis is of paramount importance in the tobacco industry's quality inspection and a key focus of global tobacco science and technology. It not only relates to the tobacco industry's own development but also attracts widespread societal attention. Conventional analysis uses smoking machines as tools in the testing process; they do not measure data themselves, but their primary function is to capture smoke generated during cigarette combustion. Numerous studies have shown that the technical conditions of smoking machines affect the smoke capture process, thus influencing the results of smoke gas analysis. International and domestic joint experiments have also demonstrated a certain degree of variation in test results between different laboratories and between different brands and models of smoking machines. The suction curve is a crucial parameter affecting the effectiveness of the smoking machine's capture function.

[0003] According to GB16450-2004 "Definition and Standard Conditions of Suction Machines for Routine Analysis", the suction volume in the gas path should be 0 when the suction duration ends. However, in actual measurements, gas flow continues even after 2 seconds. At time t=0, the flow rate ∮ at the cigarette butt end changes as the cigarette is drawn by the piston pump, resulting in a bell-shaped suction flow rate diagram. The maximum flow rate ∮m is reached at time tm, and then the flow rate gradually decreases during the suction duration. At time td, the suction source stops applying suction, and the flow rate at td is ∮d, but the pressure difference still exists. Finally, the flow rate slowly decreases, reaching 0 at time te.

[0004] The portion B between td and te is the tail. The tail phenomenon affects the collection effect of the smoke extraction machine. Currently, there is a lack of theoretical research on the tail phenomenon. We can only collect the corresponding graphs and data through data acquisition, but we lack the methods required for numerical research.

[0005] In order to solve the above problems, people have been seeking an ideal technological solution. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of existing technologies by providing a method for analyzing the trailing phenomenon of conventional analytical smoking machines, which involves numerical and quantitative analysis of the trailing phenomenon.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is: a method for analyzing the trailing phenomenon of a conventional smoking machine, comprising the following steps: Step 1) Assuming the flow-time relationship curve of the conventionally analyzed smoke extractor is a sine curve, obtain a function relationship graph with specific values ​​based on the standard setting parameter values ​​of the smoke extractor. Step 2) Assuming the tailing boundary time point is 2 seconds, the flow rate change before 2 seconds is a sine curve, and the flow rate after 2 seconds is negligible. Using a decay function to represent the flow rate change process, we obtain two correlation formulas: Where A is the peak flow rate; b is the angular frequency, used to describe the rate of periodicity of flow rate changes; C represents the initial amplitude value of the flow rate in the attenuation section. t is the suction time; Step 3) Assume the total volume of a single aspiration is 35 mL, and that the volume aspirated 2 seconds later is 2% of the single aspiration volume, i.e., 0.7 mL, leaving 34.3 mL. Furthermore, assume the values ​​at the tailing point are equal. Integrating the second equation from Step 2 yields: make ,but: Substituting k, we get ,and ,but: It can be deduced that: We can obtain a set of three equations: Combining the above three equations, we can obtain Therefore, we can conclude that: The above equation can be transformed into: in: ,Right now( .

[0008] Step 4) Assuming that the capacity occupied after 2 seconds is not two percent, but some other value between one percent and five percent, according to Step 3), a series of constants can be obtained, resulting in a suction function graph with a tail. Step 5) Combine the function graph from Step 1) and the suction function graph with tails from Step 4) to obtain a function graph that is the same as the graph obtained by the data acquisition method; The final function graph with specific parameters is used instead of the graph obtained through data acquisition, and is used as the function graph for analyzing the trailing phenomenon of smoking machines in routine analysis.

[0009] This invention has significant substantive features and remarkable progress compared to existing technologies. Specifically, this invention first obtains a functional relationship graph with specific values ​​based on the flow-time relationship curve of the piston pump in the suction mechanism of the smoking machine, combined with the set parameter values ​​of the smoking machine, which serves as the expression function for the air exchange flow graph. Then, assuming the boundary time of the tailing phenomenon, the proportion of suction capacity, and the form of the expression function, a multi-formula expression is performed, and finally, a suction function graph that can express the tailing phenomenon is obtained. After combining the two functional relationship graphs, an expression graph consistent with the standard is obtained, which also contains detailed parameter information. Compared with the collected dataset, it is more valuable for research work and can be directly used as a tool for studying the tailing phenomenon, thus improving the convenience of research.

[0010] Furthermore, this invention overcomes the qualitative limitations of traditional graphs, enabling the visualization of suction curves in quantitative analysis standards. These curves are typically schematic or measured, only visually indicating the shape of the tailing phenomenon but failing to provide precise numerical parameters. By numerically reproducing and parameterizing these parameters, the tailing phenomenon can be transformed into clear quantitative indicators. These parameters accurately describe the "degree" of the tailing phenomenon, resolving the subjective judgment problem of "whether the tailing is obvious" in traditional graphs, and providing an objective basis for evaluating the performance of smoking machines.

[0011] It has built standardized analysis tools, improved the consistency of analysis, and solved the problem that different laboratories and different operators may have different interpretations of the tailing phenomenon in standard graphs (such as the determination of the "tailing end point"), which leads to the lack of comparability of analysis results.

[0012] From a technical perspective, the parameterized trailing graphs supporting the performance calibration and fault diagnosis of smoking machines can be directly used for precise calibration and troubleshooting. Calibration basis: By comparing the measured trailing parameters with the standard parameters, the performance of the smoking machine can be quantitatively evaluated, replacing the fuzzy calibration method of traditional "graphical comparison". Fault location: Abnormal changes in the trailing parameters can correspond to specific faults in the smoke extraction machine, providing targeted guidance for equipment maintenance.

[0013] Finally, it also provides data support for the design optimization of smoking machines. During the R&D phase of smoking machines, parametric trailing graphs can be used to analyze the correlation between trailing phenomena and equipment structure. For example, by adjusting parameters such as airflow pipe diameter and valve response speed, the changing patterns of trailing parameters (such as slope and peak value) can be observed, thereby optimizing the design to reduce the impact of trailing. This process relies on the comparative analysis of quantitative parameters, rather than the qualitative observation of traditional graphs, which can accelerate the efficiency of R&D iteration. Attached Figure Description

[0014] Figure 1 This is the suction function diagram obtained in step 1) of the present invention.

[0015] Figure 2 This is the suction function graph with a trailing effect obtained in step 4) of the present invention.

[0016] Figure 3 This is the synthesis in step 5) of the present invention. Figure 1 and Figure 2 The resulting function graph. Detailed Implementation

[0017] The technical solution of the present invention will be further described in detail below through specific embodiments.

[0018] like Figure 1 As shown, a conventional analytical method for analyzing the trailing phenomenon of a smoking machine includes the following steps: Step 1) Assume the flow-time relationship curve of the piston pump in the smoking machine is a sine function: Since the inhalation time of a single puff from a smoking machine is 2 seconds, the value of e in the above formula can be calculated. Furthermore, considering a suction volume of 35 mL, integrating the above equation yields the value of D (amplitude) as 27.5 mL / s. The functional relationship can be expressed as follows: Figure 1 This can be used as a suction function graph or a ventilation flow rate graph.

[0019] Step 2) Assume the tailing boundary time point is 2 seconds, and assume the flow rate change at this point before 2 seconds is a sine function, which is: Since gas continues to flow after 2 seconds, it can be concluded that the amount of gas passing through after 2 seconds is minute, and the flow rate changes rapidly. Using a decay function, this flow rate change can be expressed by the following formula: Where A is the peak flow rate; b is the angular frequency, used to describe the rate of periodicity of flow rate changes; C represents the initial amplitude value of the flow rate in the attenuation section. t is the suction time; Step 3) Assume the total volume of a single aspiration is 35 mL, and that the volume aspirated 2 seconds later is 2% of the single aspiration volume, i.e., 0.7 mL, leaving 34.3 mL. Furthermore, assume the values ​​at the tailing point are equal. Integrating the second equation from Step 2 yields: make ,but: Substituting k, we get ,and ,but: It can be deduced that: We can obtain a set of three equations: Combining the above three equations, we can obtain Therefore, we can conclude that: The above equation can be transformed into: in: ,Right now( ; Step 4) Assuming that the capacity occupied after 2 seconds is not 2%, but some other value between 1% and 5%, following Step 3), a series of constants can be obtained, resulting in a suction function graph with a tail, as shown below. Figure 2 As shown.

[0020] Step 5) Calculate the flow rate to be 5.06 mL / s at t=2s. Combine the function graph from Step 1) and the tailed suction function graph from Step 4) to obtain the same graph as the one obtained from the data acquisition method, i.e., the graph in GB16450-2004 "Definition and Standard Conditions of Suction Machines for Routine Analysis", as shown below. Figure 3 As shown, the graphics match perfectly.

[0021] The final function graph with specific parameters is used instead of the graph obtained through data acquisition, and is used as the function graph for analyzing the trailing phenomenon of smoking machines in routine analysis.

[0022] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of the present invention or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solutions of the present invention, and all such modifications and substitutions should be covered within the scope of the technical solutions claimed in the present invention.

Claims

1. A method for analyzing the trailing phenomenon of a conventional smoking machine, characterized in that: Includes the following steps: Step 1) Assuming the flow-time relationship curve of the conventionally analyzed smoke extractor is a sine curve, obtain a function relationship graph with specific values ​​based on the standard setting parameter values ​​of the smoke extractor. Step 2) Assuming the tailing boundary time point is 2 seconds, the flow rate change before 2 seconds is a sine curve, and the flow rate after 2 seconds is negligible. Using a decay function to represent the flow rate change process, we obtain two correlation formulas: Where A is the peak flow rate; b is the angular frequency, used to describe the rate of periodicity of flow rate changes; C represents the initial amplitude value of the flow rate in the attenuation section. t is the suction time; Step 3) Assume the total volume of a single aspiration is 35 mL, and that the volume aspirated 2 seconds later is 2% of the single aspiration volume, i.e., 0.7 mL, leaving 34.3 mL. Furthermore, assume the values ​​at the tailing point are equal. Integrating the second equation from Step 2 yields: make ,but: Substituting k, we get ,and ,but: It can be deduced that: We can obtain a set of three equations: Combining the above three equations, we can obtain Therefore, we can conclude that: The above equation can be transformed into: in: ,Right now( ; Step 4) Assuming that the capacity occupied after 2 seconds is not two percent, but some other value between one percent and five percent, according to Step 3), a series of constants can be obtained, resulting in a suction function graph with a tail. Step 5) Combine the function graph from Step 1) and the suction function graph with tails from Step 4) to obtain a function graph that is the same as the graph obtained by the data acquisition method; The final function graph with specific parameters is used instead of the graph obtained through data acquisition, and is used as the function graph for analyzing the trailing phenomenon of smoking machines in routine analysis.

2. The method for analyzing the trailing phenomenon of a conventional smoking machine according to claim 1, characterized in that: In step 1), it is assumed that the flow-time relationship curve of the piston pump in the smoking machine is a sine function: Since the inhalation time of a single puff from a smoking machine is 2 seconds, the value of e in the above formula can be calculated. Furthermore, with a suction volume set to 35 mL, integrating the above equation yields a D value of 27.5 mL / s.

Images