A method, system, device and medium for measuring electronic cigarette smoke concentration

Abstract

The present application provides a method, system, device and medium for measuring the concentration of electronic cigarette smoke, which collects the photoelectric distribution information of scattered light received by a photoelectric sensor; performs particle inversion on the photoelectric distribution information to obtain the density data of the smoke particles inside the electronic cigarette, extracts the density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data, and then determines the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet; determines the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity, and determines the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; purifies and compensates the smoke concentration through the interference difference characteristics to obtain the net smoke concentration inside the electronic cigarette. Based on the above scheme, purification compensation of the smoke concentration of the electronic cigarette can be achieved.

Description

Technical Field

[0001] The present application relates to the field of optical detection technology, and more specifically, to a method, system, device and medium for measuring the concentration of electronic cigarette smoke. Background Art

[0002] Since its invention in 2003, e-cigarettes have developed rapidly and spread widely around the world. As a product that replaces traditional cigarettes, e-cigarettes produce smoke by atomizing liquid rather than burning tobacco, thus avoiding harmful substances produced by combustion. With the continuous advancement of technology, the design of e-cigarette products has gradually become more diversified and their functions have become increasingly rich, from basic smoke generation to a variety of flavors and personalized settings, meeting the needs of different consumers.

[0003] When measuring smoke concentration, the existing technology is easily disturbed by changes in ambient temperature and humidity, resulting in unstable photoelectric intensity attenuation. The fluctuations in temperature and humidity directly affect the refractive index and scattering characteristics during the propagation of the light beam, resulting in large fluctuations in the signal received by the photoelectric sensor, affecting the accurate measurement of smoke concentration. In addition, traditional measurement methods usually rely on single photoelectric signals, which are affected by different characteristics of the scattered particles such as particle size, distribution, and morphology, resulting in photoelectric signal distortion, further reducing the accuracy of the measurement. Therefore, how to combine the difference in photoelectric propagation characteristics between the electronic cigarette smoke inlet and the smoke outlet to achieve purification compensation of the electronic cigarette smoke concentration has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides an electronic cigarette smoke concentration measurement method, system, device and medium, which can realize purification compensation of electronic cigarette smoke concentration by combining the difference characteristics of photoelectric propagation between the electronic cigarette smoke inlet and the smoke outlet.

[0005] In a first aspect, the present application provides a method for measuring the concentration of electronic cigarette smoke, comprising: Arrange photoelectric sensors at the smoke inlet and smoke outlet of the electronic cigarette, use a fixed light source to emit scattered light to the photoelectric sensors, and collect photoelectric distribution information of the scattered light received by the photoelectric sensors; Performing particle inversion on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette, extracting density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data, and then determining the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet; Determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity, and determine the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; The smoke concentration is purified and compensated by using the interference difference characteristics to obtain the net smoke concentration inside the electronic cigarette.

[0006] In some embodiments, performing particle inversion on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette specifically includes: Filtering out an inlet photoelectric signal and an outlet photoelectric signal of the electronic cigarette from the photoelectric distribution information; The entrance photoelectric signal is inverted and calculated based on the scattering model to obtain an entrance density distribution diagram of smoke particles at the entrance of the electronic cigarette smoke; Inversely calculate the outlet photoelectric signal based on the scattering model to obtain an outlet density distribution diagram of smoke particles at the outlet of the electronic cigarette smoke; The density data of smoke particles inside the electronic cigarette is determined by the inlet density distribution diagram and the outlet density distribution diagram.

[0007] In some embodiments, extracting density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data specifically includes: Extracting density statistical features of the inlet density distribution map in the density data, and then performing feature dimension reduction on the density statistical features to obtain density distribution features of electronic cigarette smoke particles at the smoke inlet; The density statistical features of the outlet density distribution map in the density data are extracted, and then the density statistical features are subjected to feature dimension reduction to obtain the density distribution features of the electronic cigarette smoke particles at the smoke outlet.

[0008] In some embodiments, determining the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet specifically includes: Performing spatial interpolation on the smoke concentration inside the electronic cigarette based on the density distribution characteristics at the smoke inlet and the smoke outlet to obtain the local smoke concentration at each spatial point inside the electronic cigarette; The amount of smoke concentration inside the electronic cigarette is determined based on all local smoke concentrations.

[0009] In some embodiments, determining the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity specifically includes: Collect historical photoelectric propagation data inside the electronic cigarette, and obtain the temperature and humidity range inside the electronic cigarette; Dividing the temperature and humidity interval into a plurality of interference intervals based on a temperature and humidity influence model; Extracting interference values ​​of temperature and humidity on photoelectric intensity attenuation in each interference interval from the historical photoelectric propagation data; The attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity is determined through all interference values.

[0010] In some embodiments, the smoke concentration is purified and compensated by the interference difference feature to obtain the net smoke concentration inside the electronic cigarette, which specifically includes: Initialize a purification compensation model based on temperature and humidity weight distribution; Using the interference difference characteristics as correction parameters of the purification compensation model; The smoke concentration is corrected using the purification compensation model after the correction parameters are updated to obtain the net smoke concentration inside the electronic cigarette.

[0011] In some embodiments, the photoelectric sensor is a non-contact sensor based on the photoelectric effect.

[0012] In a second aspect, the present application provides an electronic cigarette smoke concentration measurement system, comprising: The collection module is used to arrange photoelectric sensors at the smoke inlet and smoke outlet of the electronic cigarette, use a fixed light source to emit scattered light to the photoelectric sensors, and collect photoelectric distribution information of the scattered light received by the photoelectric sensors; A processing module, used to perform particle inversion on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette, extract density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data, and then determine the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet; The processing module is also used to determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity, and determine the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; The execution module is used to purify and compensate the smoke concentration through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned electronic cigarette smoke concentration measurement method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions or codes, and when the instructions or codes are executed on a computer, the computer implements the above-mentioned electronic cigarette smoke concentration measurement method when executed.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In a method, system, device and medium for measuring the smoke concentration of an electronic cigarette provided by the present application, a photoelectric sensor is arranged at the smoke inlet and the smoke outlet of the electronic cigarette, a fixed light source is used to emit scattered light to the photoelectric sensor, and photoelectric distribution information of the scattered light received by the photoelectric sensor is collected; particle inversion is performed on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette, and density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet are respectively extracted from the density data, and then the smoke concentration inside the electronic cigarette is determined according to the density distribution characteristics at the smoke inlet and the smoke outlet; the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity is determined, and the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette are determined according to the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; the smoke concentration is purified and compensated according to the interference difference characteristics to obtain the net smoke concentration inside the electronic cigarette.

[0016] It can be seen that in this application, the smoke concentration is purified and compensated by the interference difference characteristics to obtain the net smoke concentration inside the electronic cigarette; first, the smoke concentration reflects the density distribution of smoke particles at different spatial points, and can accurately reflect the spatial distribution characteristics of the smoke concentration inside the electronic cigarette. By determining the smoke concentration, not only the local concentration information of each spatial point can be obtained, but also the overall smoke concentration level can be inferred, which provides a key reference for the subsequent purification compensation process, effectively supports the precise calibration of the smoke concentration, and finally can obtain the net smoke concentration that meets the actual environmental conditions, thereby improving the accuracy and reliability of the measurement; then, determine the interference difference The difference feature can accurately identify the interference difference of photoelectric intensity between the smoke inlet and the smoke outlet. The temperature and humidity changes inside the electronic cigarette will directly affect the propagation of the photoelectric signal, causing the attenuation of the photoelectric intensity to be unstable. By combining the temperature and humidity difference characteristics of the electronic cigarette smoke inlet and the smoke outlet, the attenuation interference can be effectively identified, and accurate interference correction parameters are provided for subsequent purification compensation, ensuring that when analyzing the smoke concentration, the errors caused by temperature and humidity can be eliminated, and ultimately a more realistic and stable net smoke concentration is obtained; in summary, based on the above scheme, the purification compensation of the electronic cigarette smoke concentration can be realized in combination with the difference characteristics of photoelectric propagation between the electronic cigarette smoke inlet and the smoke outlet. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1is an exemplary flow chart of a method for measuring electronic cigarette smoke concentration according to some embodiments of the present application; Figure 2 is a cross-sectional structural diagram of an electronic cigarette shown in some embodiments of the present application; Figure 3 is a schematic diagram of a process for determining net smoke concentration according to some embodiments of the present application; Figure 4 is a schematic diagram of the structure of an electronic cigarette smoke concentration measurement system according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a method for measuring electronic cigarette smoke concentration according to some embodiments of the present application. DETAILED DESCRIPTION

[0019] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0020] refer to Figure 1 , which is an exemplary flow chart of a method for measuring the concentration of electronic cigarette smoke according to some embodiments of the present application, and the method for measuring the concentration of electronic cigarette smoke mainly includes the following steps: In step 101, photoelectric sensors are arranged at the smoke inlet and smoke outlet of the electronic cigarette, and a fixed light source is used to emit scattered light to the photoelectric sensors to collect photoelectric distribution information of the scattered light received by the photoelectric sensors.

[0021] It should be noted that, in the present application, the photoelectric distribution information is a photoelectric signal used to reflect the scattering of light beams by smoke particles; the photoelectric sensor is a non-contact sensor based on the photoelectric effect; and the fixed light source refers to a light source device that provides a stable and continuous light beam.

[0022] In specific implementation, photoelectric sensors are installed at the smoke inlet and smoke outlet of the electronic cigarette respectively, and a stable light source (for example: laser diode) is selected to emit a light beam at a fixed angle and power to ensure consistent lighting conditions. The light emitted by the light source is scattered on the smoke particles, and the scattered light signal is received by the photoelectric sensor and converted into an electrical signal. In order to improve the signal quality, a highly sensitive photoelectric detector such as a photodiode or a photomultiplier tube can be used, and equipped with a narrow-band filter to reduce ambient light interference. The acquisition system needs to include an analog-to-digital conversion module to convert the analog photoelectric signal into a digital signal, and combine the signal amplification and filtering circuit to enhance the signal strength and reduce noise.

[0023] In some embodiments, reference Figure 2As described, the figure is a cross-sectional structural diagram of the electronic cigarette shown in some embodiments of the present application, which shows the internal structure of the electronic cigarette, including key components such as the lampshade, light-emitting diode (LED), lithium battery, stainless steel tube, switch assembly, electrode ring, copper parts and atomization chamber, as well as the corrosion path that may be caused by leakage of tobacco oil. The electronic cigarette is powered by a lithium battery, which heats the tobacco oil in the atomization chamber to generate steam, simulating the smoking experience.

[0024] In step 102, the photoelectric distribution information is subjected to particle inversion to obtain density data of smoke particles inside the electronic cigarette, and density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and the smoke outlet are extracted from the density data, and then the smoke concentration inside the electronic cigarette is determined through the density distribution characteristics at the smoke inlet and the smoke outlet.

[0025] In some embodiments, the photoelectric distribution information is subjected to particle inversion to obtain density data of smoke particles inside the electronic cigarette, which can be achieved by the following steps: Filtering out an inlet photoelectric signal and an outlet photoelectric signal of the electronic cigarette from the photoelectric distribution information; The entrance photoelectric signal is inverted and calculated based on the scattering model to obtain an entrance density distribution diagram of smoke particles at the entrance of the electronic cigarette smoke; Inversely calculate the outlet photoelectric signal based on the scattering model to obtain an outlet density distribution diagram of smoke particles at the outlet of the electronic cigarette smoke; The density data of smoke particles inside the electronic cigarette is determined by the inlet density distribution diagram and the outlet density distribution diagram.

[0026] In specific implementation, firstly, the inlet photoelectric signal and outlet photoelectric signal of the electronic cigarette are screened out from the photoelectric distribution information, which can be implemented in the following manner, namely: the photoelectric signal collected at the entrance of the electronic cigarette smoke in the photoelectric distribution information is used as the inlet photoelectric signal of the electronic cigarette, and the photoelectric signal collected at the exit of the electronic cigarette smoke in the photoelectric distribution information is used as the exit photoelectric signal of the electronic cigarette; secondly, the inlet photoelectric signal is inverted and calculated based on the scattering model to obtain the inlet density distribution diagram of the smoke particles at the entrance of the electronic cigarette smoke, which can be implemented in the following manner, namely: the inlet photoelectric signal is inverted and calculated based on the scattering model of the Mie scattering theory to obtain the density value of the smoke particles at each spatial point at the entrance of the electronic cigarette smoke, thereby mapping all density values ​​to the spatial coordinate system according to the position of the spatial point as the electronic cigarette an inlet density distribution diagram of smoke particles at the smoke inlet; then, inverting and calculating the outlet photoelectric signal based on the scattering model to obtain the outlet density distribution diagram of smoke particles at the electronic cigarette smoke outlet can be achieved in the following manner, namely: inverting and calculating the inlet photoelectric signal based on the scattering model of the Mie scattering theory to obtain the density values ​​of smoke particles at each spatial point at the electronic cigarette smoke inlet, thereby mapping all density values ​​to the spatial coordinate system according to the position of the spatial point as the inlet density distribution diagram of smoke particles at the electronic cigarette smoke inlet; finally, determining the density data of smoke particles inside the electronic cigarette through the inlet density distribution diagram and the outlet density distribution diagram can be achieved in the following manner, namely: taking the set of the inlet density distribution diagram and the outlet density distribution diagram as the density data of smoke particles inside the electronic cigarette.

[0027] It should be noted that the density data represents the distribution of smoke particles at different spatial positions; the entrance photoelectric signal represents the photoelectric signal received by the sensor at the smoke entrance, and the exit photoelectric signal represents the photoelectric signal received by the sensor at the smoke exit; the entrance density distribution diagram represents the spatial distribution and concentration of smoke particles at the smoke entrance; the exit density distribution diagram represents the spatial distribution and concentration of smoke particles at the smoke exit; Mie scattering theory is a physical model that describes the interaction between light and tiny particles (such as smoke particles), which is mainly used to calculate the intensity and direction of scattering of a light beam when it passes through particles. In this application, the scattering model calculates the density value of smoke particles at each spatial point by inputting photoelectric signals (such as the scattering effect of smoke particles on light) and combining information such as the size, shape and distribution of the particles.

[0028] In some embodiments, respectively extracting the density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data can be achieved by using the following steps: Extracting density statistical features of the inlet density distribution map in the density data, and then performing feature dimension reduction on the density statistical features to obtain density distribution features of electronic cigarette smoke particles at the smoke inlet; The density statistical features of the outlet density distribution map in the density data are extracted, and then the density statistical features are subjected to feature dimension reduction to obtain the density distribution features of the electronic cigarette smoke particles at the smoke outlet.

[0029] In specific implementation, first, the density statistical features of the entrance density distribution map in the density data are extracted, and then the density statistical features are subjected to feature dimensionality reduction, and the density distribution features of the electronic cigarette smoke particles at the smoke entrance can be obtained by the following method, namely: the gradient value, mean and variance of all density values ​​in the entrance density distribution map of the density data are calculated as density statistical features, and the density statistical features of the entrance density distribution map in the density data can be obtained. In other embodiments, in order to enhance the expression ability of the features, the kernel density estimation method can be used to smooth all density values, and the probability density function is calculated and added to the density statistical features, which is not limited here; the principal component analysis algorithm is used to reduce the dimension of the density statistical features, and the principal component that best represents the entrance density distribution is selected, thereby removing redundant information and improving calculation efficiency, so that the density statistical features after dimensionality reduction are used as the density distribution features of the electronic cigarette smoke particles at the smoke entrance.

[0030] It should be noted that, in this application, density distribution features are features used to describe the spatial distribution law of smoke concentration; density statistical features are used to describe the overall features of smoke particle density; kernel density estimation method is a non-parametric method for estimating the probability density function of random variables. By using a smooth kernel function (such as a Gaussian kernel) on the data points, the kernel density estimation method can generate a smooth distribution curve around the data points, thereby approximating the true distribution of the data. In this application, the kernel density estimation method is used to smooth all density values ​​in the inlet density distribution map, making the data more continuous and smooth, which helps to more accurately calculate the probability density function of the density value and enhance the expression ability of the feature; principal component analysis algorithm is a The purpose of commonly used dimensionality reduction techniques is to map data from high-dimensional space to low-dimensional space through linear transformation while retaining the most important information in the data. The principal component analysis algorithm calculates the covariance matrix of the data and solves its eigenvalues ​​and eigenvectors, selects the eigenvectors corresponding to the first few largest eigenvalues ​​as new coordinate axes, and obtains new principal components. In this way, the principal component analysis algorithm can remove redundant information in the data, reduce the data dimension, and extract the most representative features. In this application, the principal component analysis algorithm is used to reduce the dimensionality of density statistical features, thereby reducing the computational complexity and screening out the principal components that best represent the inlet density distribution, which helps to improve the efficiency and accuracy of subsequent analysis.

[0031] Then, the density statistical features of the outlet density distribution map in the density data are extracted, and then the density statistical features are subjected to feature dimensionality reduction, and the density distribution features of the electronic cigarette smoke particles at the smoke outlet are obtained, which can be achieved in the following way, namely: the gradient value, mean, probability density function and variance of all density values ​​in the outlet density distribution map of the density data can be calculated using the above method as the density statistical features of the outlet density distribution map in the density data, and the density statistical features are subjected to dimensionality reduction using principal component analysis, and the density statistical features after dimensionality reduction are used as the density distribution features of the electronic cigarette smoke particles at the smoke outlet.

[0032] In some embodiments, determining the smoke concentration inside the electronic cigarette by the density distribution characteristics at the smoke inlet and the smoke outlet can be achieved by the following steps: Performing spatial interpolation on the smoke concentration inside the electronic cigarette based on the density distribution characteristics at the smoke inlet and the smoke outlet to obtain the local smoke concentration at each spatial point inside the electronic cigarette; The amount of smoke concentration inside the electronic cigarette is determined based on all local smoke concentrations.

[0033] In specific implementation, first, spatial interpolation is performed on the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet to obtain the local smoke concentration of each spatial point inside the electronic cigarette. This can be achieved in the following manner, namely: a spatial coordinate system inside the electronic cigarette is established, and all density values ​​of the smoke inlet and the smoke outlet are projected into the spatial coordinate system to form a known point data set. A radial basis function interpolation algorithm can be selected to estimate the smoke concentration of each spatial point inside the electronic cigarette, and the density distribution characteristics at the smoke inlet and the smoke outlet are used as the density change trend of the smoke inlet and the smoke outlet in the estimation, so that the estimated value of the smoke concentration at each spatial point is used as the local smoke concentration, and the local smoke concentration of each spatial point inside the electronic cigarette can be obtained; then, the smoke concentration amount inside the electronic cigarette is determined according to all the local smoke concentrations. This can be achieved in the following manner, namely: the average of all the local smoke concentrations can be used as the smoke concentration amount inside the electronic cigarette.

[0034] It should be noted that the smoke concentration is the quantitative value of the overall smoke concentration inside the electronic cigarette; the local smoke concentration is the smoke concentration value at a specific spatial point inside the electronic cigarette; the radial basis function interpolation algorithm is a mathematical method for spatial data interpolation, which is suitable for estimating the numerical distribution of unknown points based on a limited number of observation points. Its core principle is to use the radial basis function as a weight function and take known data points (such as the density distribution characteristics at the inlet and outlet of the electronic cigarette smoke) as control points. By calculating the influence weights of these control points on any spatial point, the smoke concentration of each spatial point is inferred. In this application, the density change trend at the smoke inlet and smoke outlet is used as the distribution feature of the control point. Through radial basis function interpolation, the smoke concentration estimation value of each spatial point inside the electronic cigarette is made to conform to the overall smoke diffusion characteristics, and finally the distribution of local smoke concentration is obtained, thereby realizing accurate spatial estimation of smoke concentration.

[0035] In step 103, the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity is determined, and the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette are determined by combining the attenuation interference with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette.

[0036] In some embodiments, determining the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity can be achieved by using the following steps: Collect historical photoelectric propagation data inside the electronic cigarette, and obtain the temperature and humidity range inside the electronic cigarette; Dividing the temperature and humidity interval into a plurality of interference intervals based on a temperature and humidity influence model; Extracting interference values ​​of temperature and humidity on photoelectric intensity attenuation in each interference interval from the historical photoelectric propagation data; The attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity is determined through all interference values.

[0037] In specific implementation, the historical photoelectric propagation data inside the electronic cigarette is collected, and the temperature and humidity range inside the electronic cigarette is obtained in the following manner, namely: the photoelectric intensity record during the propagation of scattered light inside the electronic cigarette in a specified time period (within 1 week by default) is obtained from the cloud database of the electronic cigarette, and the set of all photoelectric intensity records is used as the historical photoelectric propagation data. At the same time, the temperature and humidity values ​​inside the electronic cigarette in the specified time period (within 1 week by default) are obtained from the cloud database of the electronic cigarette, so as to screen out the maximum and minimum values ​​of the temperature and humidity values, and take the interval from the minimum value to the maximum value as the temperature and humidity range inside the electronic cigarette; secondly, the temperature and humidity range is divided into multiple interference ranges based on the temperature and humidity influence model, which can be implemented in the following manner, namely: the temperature and humidity influence model based on the clustering algorithm can be used to cluster the frequency of the temperature and humidity range in all temperature and humidity values ​​to obtain multiple temperature and humidity clustering clusters, each clustering cluster represents a temperature and humidity range with a similar degree of influence on the attenuation of the photoelectric intensity, so that the set of all temperature and humidity values ​​corresponding to each clustering cluster can be used as the interference range, and multiple interference ranges can be obtained.

[0038] Then, in specific implementation, the interference value of the temperature and humidity on the attenuation of the photoelectric intensity in each interference interval is extracted from the historical photoelectric propagation data, which can be implemented in the following way, namely: for each interference interval, all photoelectric intensity records whose temperature and humidity are in the interference interval are screened out from the historical photoelectric propagation data, and the difference between the emission intensity and the receiving intensity in each photoelectric intensity record is calculated as the attenuation value of the photoelectric intensity, so as to take the standard deviation of all attenuation values ​​as the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity; determining the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity through all interference values ​​can be implemented in the following way, namely: taking the set of all interference values ​​as the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity.

[0039] It should be noted that in the present application, attenuation interference indicates the degree of influence of temperature and humidity changes inside the electronic cigarette on the attenuation of photoelectric signal intensity; historical photoelectric propagation data indicates the historical records of photoelectric signal propagation inside the electronic cigarette under different temperature and humidity conditions; temperature and humidity range indicates the range of different temperature and humidity conditions inside the electronic cigarette; interference range is the temperature and humidity range used to evaluate the interference effect under different external environmental conditions; interference value refers to the quantitative influence value of temperature and humidity on the attenuation of photoelectric intensity.

[0040] In some embodiments, the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet of the electronic cigarette can be determined by combining the attenuation interference with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette, which can be achieved by the following steps: Obtaining the temperature and humidity characteristics of the electronic cigarette smoke inlet and smoke outlet, and then determining the temperature and humidity difference between the electronic cigarette smoke inlet and smoke outlet; Extract the interference value of the temperature and humidity characteristics at the electronic cigarette smoke inlet and smoke outlet on the photoelectric intensity attenuation from the attenuation interference, and then determine the interference difference value between the electronic cigarette smoke inlet and smoke outlet; The interference difference characteristic of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette is determined according to the temperature and humidity difference and the interference difference value.

[0041] In specific implementation, first, the temperature and humidity characteristics of the electronic cigarette smoke inlet and the smoke outlet are obtained, and then the temperature and humidity difference between the electronic cigarette smoke inlet and the smoke outlet is determined, which can be achieved in the following manner, namely: temperature and humidity sensors are arranged at the electronic cigarette smoke inlet and the smoke outlet respectively, and the set of temperature values ​​and humidity values ​​at the electronic cigarette smoke inlet is monitored as the temperature and humidity characteristics of the electronic cigarette smoke inlet, and the set of temperature values ​​and humidity values ​​at the electronic cigarette smoke outlet is monitored as the temperature and humidity characteristics of the electronic cigarette smoke outlet, and the absolute value of the difference in humidity values ​​in the temperature and humidity characteristics between the smoke inlet and the smoke outlet is used as the humidity difference, and the absolute value of the difference in temperature values ​​in the temperature and humidity characteristics between the smoke inlet and the smoke outlet is used as the temperature difference, so that the set of humidity difference and temperature difference is used as the temperature and humidity difference between the electronic cigarette smoke inlet and the smoke outlet; then, the interference value of the temperature and humidity characteristics at the electronic cigarette smoke inlet and the smoke outlet on the attenuation of the photoelectric intensity is extracted from the attenuation interference, and then the interference difference value between the electronic cigarette smoke inlet and the smoke outlet is determined, which can be achieved in the following manner, namely :The interference value of the interference interval where the temperature value and humidity value in the temperature and humidity characteristics of the electronic cigarette smoke inlet are located is selected from the attenuation interference as the interference value of the temperature and humidity characteristics of the electronic cigarette smoke inlet on the attenuation of the photoelectric intensity; the interference value of the interference interval where the temperature and humidity value in the temperature and humidity characteristics of the electronic cigarette smoke outlet are located is selected from the attenuation interference as the interference value of the temperature and humidity characteristics of the electronic cigarette smoke outlet on the attenuation of the photoelectric intensity, so that the absolute value of the difference between the two interference values ​​can be used as the interference difference value between the electronic cigarette smoke inlet and the smoke outlet; finally, the interference difference feature of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette is determined according to the temperature and humidity difference and the interference difference value. The following method can be used to achieve this, namely: construct a multivariate regression model, combine the temperature and humidity difference with the interference difference value, and calculate the interference difference feature of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette, that is, the interference difference feature=m*temperature and humidity difference+n*interference difference value+p, wherein m, n, p are parameters of the multivariate regression model, which are obtained by training with historical operation data.

[0042] It should be noted that in the present application, the interference difference characteristic represents the differentiated performance of the interference of temperature and humidity changes in different areas of the electronic cigarette on the attenuation of the photoelectric signal; the temperature and humidity characteristic represents the temperature and humidity information inside the electronic cigarette, and the temperature and humidity difference represents the difference in temperature and humidity at the smoke inlet and the smoke outlet; the interference difference value represents the numerical difference in the attenuation interference of the photoelectric signal caused by the temperature and humidity difference.

[0043] In step 104, the smoke concentration is purified and compensated by using the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

[0044] In some embodiments, the smoke concentration is purified and compensated by the interference difference feature to obtain the net smoke concentration inside the electronic cigarette, referring to Figure 3 As described above, the figure is a schematic diagram of the process of determining the net smoke concentration in some embodiments of the present application. In this embodiment, the net smoke concentration can be determined by the following steps: In step 1041, a purification compensation model based on temperature and humidity weight distribution is initialized; In step 1042, the interference difference feature is used as a correction parameter of the purification compensation model; In step 1043, the smoke concentration is corrected using the purification compensation model after the correction parameters are updated (ie, purification compensation is performed on the smoke concentration) to obtain the net smoke concentration inside the electronic cigarette.

[0045] It should be noted that the net smoke concentration represents the real smoke concentration value after removing the interference of environmental factors. In this application, the purification compensation model is a mathematical model based on the weight distribution of temperature and humidity, which is used to eliminate the influence of temperature and humidity changes on the smoke concentration measured by the photoelectric signal and improve the accuracy of the smoke concentration measurement. The core principle of the purification compensation model is: first, based on the historical photoelectric propagation data under different temperature and humidity conditions inside the electronic cigarette, a function of the influence of temperature and humidity on the attenuation of the photoelectric signal is constructed, and the weight distribution of temperature and humidity on the photoelectric signal in different intervals is calculated based on statistical analysis or machine learning methods (such as regression analysis, neural network); secondly, the temperature and humidity characteristics at the smoke inlet and smoke outlet are used, combined with the interference difference characteristics, to dynamically adjust the correction parameters of the model so that it can adapt to different working environments; finally, the updated purification compensation model is applied to the measured smoke concentration data to eliminate the measurement error caused by the influence of temperature and humidity, and finally the net smoke concentration inside the electronic cigarette is obtained, that is, the real smoke concentration value after removing the interference of environmental factors.

[0046] In addition, in another aspect of the present application, in some embodiments, the present application provides an electronic cigarette smoke concentration measurement system, referring to Figure 4 , which is a schematic diagram of the structure of an electronic cigarette smoke concentration measurement system according to some embodiments of the present application, and the electronic cigarette smoke concentration measurement system includes: a collection module 201, a processing module 202 and an execution module 203, which are respectively described as follows: The acquisition module 201 in the present application is mainly used to arrange photoelectric sensors at the smoke inlet and smoke outlet of the electronic cigarette, use a fixed light source to emit scattered light to the photoelectric sensors, and collect photoelectric distribution information of the scattered light received by the photoelectric sensors; Processing module 202, in the present application, is used to perform particle inversion on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette, and to extract density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data, and then determine the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet; It should be noted that the processing module 202 is also used to determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity, and determine the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; The execution module 203 in the present application is mainly used to purify and compensate the smoke concentration through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

[0047] The above describes in detail the examples of the electronic cigarette smoke concentration measurement method, system, device and medium provided in the embodiments of the present application. It can be understood that in order to realize the above functions, the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function. It should be easily realized by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present application.

[0048] In some embodiments, the present application also provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned electronic cigarette smoke concentration measurement method.

[0049] In some embodiments, reference Figure 5 , the dotted line in the figure indicates that the unit or the module is optional, and the figure is a schematic diagram of the structure of a computer device for implementing the electronic cigarette smoke concentration measurement method provided in an embodiment of the present application. The electronic cigarette smoke concentration measurement method described in the above embodiment can be Figure 5The computer device shown in the figure is implemented, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device can be a terminal device, a server or a chip.

[0050] The processor 301 may be a general-purpose processor or a special-purpose processor. For example, the processor 301 may be a central processing unit (CPU), which may be used to control the computer device, execute software programs, and process data of the software programs. The computer device may also include a communication unit 305 to implement signal input (reception) and output (transmission).

[0051] For example, the computer device may be a chip, the communication unit 305 may be an input and / or output circuit of the chip, or the communication unit 305 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other devices.

[0052] For another example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0053] The computer device may include one or more memories 302, on which a program 304 is stored. The program 304 can be executed by the processor 301 to generate instructions 303, so that the processor 301 performs the method described in the above method embodiment according to the instructions 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read the data stored in the memory 302, and the data can be stored at the same storage address as the program 304, or the data can be stored at a different storage address from the program 304.

[0054] The processor 301 and the memory 302 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of the terminal device.

[0055] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0056] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0057] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned electronic cigarette smoke concentration measurement method when executing.

[0058] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0059] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for measuring the concentration of electronic cigarette smoke, characterized in that: The steps include: Arrange photoelectric sensors at the smoke inlet and smoke outlet of the electronic cigarette, use a fixed light source to emit scattered light to the photoelectric sensors, and collect photoelectric distribution information of the scattered light received by the photoelectric sensors; Performing particle inversion on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette, extracting density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data, and then determining the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet; Determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity, and determine the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; The smoke concentration is purified and compensated by using the interference difference characteristics to obtain the net smoke concentration inside the electronic cigarette.

2. The method according to claim 1, characterized in that The photoelectric distribution information is subjected to particle inversion to obtain density data of smoke particles inside the electronic cigarette, specifically including: Filtering out an inlet photoelectric signal and an outlet photoelectric signal of the electronic cigarette from the photoelectric distribution information; The entrance photoelectric signal is inverted and extrapolated based on the scattering model to obtain an entrance density distribution diagram of smoke particles at the entrance of the electronic cigarette smoke; Inversely calculate the outlet photoelectric signal based on the scattering model to obtain an outlet density distribution diagram of smoke particles at the outlet of the electronic cigarette smoke; The density data of smoke particles inside the electronic cigarette is determined by the inlet density distribution diagram and the outlet density distribution diagram.

3. The method according to claim 1, characterized in that Extracting density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and smoke outlet from the density data specifically includes: Extracting density statistical features of the inlet density distribution map in the density data, and then performing feature dimension reduction on the density statistical features to obtain density distribution features of electronic cigarette smoke particles at the smoke inlet; The density statistical features of the outlet density distribution map in the density data are extracted, and then the density statistical features are subjected to feature dimension reduction to obtain the density distribution features of the electronic cigarette smoke particles at the smoke outlet.

4. The method according to claim 1, characterized in that Determining the smoke concentration inside the electronic cigarette by using the density distribution characteristics at the smoke inlet and the smoke outlet specifically includes: Performing spatial interpolation on the smoke concentration inside the electronic cigarette based on the density distribution characteristics at the smoke inlet and the smoke outlet to obtain the local smoke concentration at each spatial point inside the electronic cigarette; The amount of smoke concentration inside the electronic cigarette is determined based on all local smoke concentrations.

5. The method according to claim 1, characterized in that Determine the attenuation interference of temperature and humidity inside the electronic cigarette on the photoelectric intensity specifically including: Collect historical photoelectric propagation data inside the electronic cigarette, and obtain the temperature and humidity range inside the electronic cigarette; Dividing the temperature and humidity interval into a plurality of interference intervals based on a temperature and humidity influence model; Extracting interference values ​​of temperature and humidity on photoelectric intensity attenuation in each interference interval from the historical photoelectric propagation data; The attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity is determined through all interference values.

6. The method according to claim 1, characterized in that Purifying and compensating the smoke concentration by using the interference difference feature to obtain the net smoke concentration inside the electronic cigarette specifically includes: Initialize a purification compensation model based on temperature and humidity weight distribution; Using the interference difference characteristics as correction parameters of the purification compensation model; The smoke concentration is corrected using the purification compensation model after the correction parameters are updated to obtain the net smoke concentration inside the electronic cigarette.

7. The method according to claim 1, characterized in that The photoelectric sensor is a non-contact sensor based on the photoelectric effect.

8. An electronic cigarette smoke concentration measurement system, characterized in that: include: The collection module is used to arrange photoelectric sensors at the smoke inlet and smoke outlet of the electronic cigarette, use a fixed light source to emit scattered light to the photoelectric sensors, and collect photoelectric distribution information of the scattered light received by the photoelectric sensors; A processing module, used to perform particle inversion on the photoelectric distribution information to obtain density data of smoke particles inside the electronic cigarette, extract density distribution characteristics of electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data, and then determine the smoke concentration inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet; The processing module is also used to determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity, and determine the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; The execution module is used to purify and compensate the smoke concentration through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

9. A computer device, characterized in that: The computer device comprises a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the electronic cigarette smoke concentration measurement method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions or codes, and when the instructions or codes are executed on a computer, the computer implements the electronic cigarette smoke concentration measurement method according to any one of claims 1 to 7.

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