An E-cigarette Smoke Concentration Measurement Method, System, Device and Medium

Abstract

The present application provides a method, system, device and medium for measuring the smoke concentration of an electronic cigarette, which collects the optoelectronic distribution information of the scattered light received by an optoelectronic sensor; performs particle inversion on the optoelectronic distribution information to obtain the density data of the smoke particles inside the electronic cigarette, respectively 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 optoelectronic intensity, and determines the interference difference characteristics of the optoelectronic 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 solution, the purification compensation of the electronic cigarette smoke concentration can be realized.

Description

Technical Field

[0001] This application relates to the field of optical detection technology. More specifically, this application relates to a method, system, device, and medium for measuring the smoke concentration of electronic cigarettes. Background Art

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

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

[0004] This application provides a method, system, device, and medium for measuring the smoke concentration of electronic cigarettes, which can achieve purification compensation of the electronic cigarette smoke concentration by combining the differential characteristics of photoelectric propagation between the smoke inlet and the smoke outlet of the electronic cigarette.

[0005] In a first aspect, this application provides a method for measuring the smoke concentration of electronic cigarettes, including:

[0006] Arranging photoelectric sensors at the smoke inlet and the smoke outlet of the electronic cigarette, using a fixed light source to emit scattered light to the photoelectric sensors, and collecting the photoelectric distribution information of the scattered light received by the photoelectric sensors;

[0007] Performing particle inversion on the photoelectric distribution information to obtain the density data of the smoke particles inside the electronic cigarette, respectively extracting the density distribution characteristics of the 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;

[0008] Determine the attenuation interference of the internal temperature and humidity of 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 by combining the attenuation interference with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette;

[0009] Purify and compensate the smoke concentration amount through the interference difference characteristics to obtain the net smoke concentration inside the electronic cigarette.

[0010] In some embodiments, performing particle inversion on the photoelectric distribution information to obtain the density data of the smoke particles inside the electronic cigarette specifically includes:

[0011] Screen out the inlet photoelectric signal and the outlet photoelectric signal of the electronic cigarette from the photoelectric distribution information;

[0012] Based on the scattering model, perform inversion calculation on the inlet photoelectric signal to obtain the inlet density distribution map of the smoke particles at the smoke inlet of the electronic cigarette;

[0013] Based on the scattering model, perform inversion calculation on the outlet photoelectric signal to obtain the outlet density distribution map of the smoke particles at the smoke outlet of the electronic cigarette;

[0014] Determine the density data of the smoke particles inside the electronic cigarette through the inlet density distribution map and the outlet density distribution map.

[0015] In some embodiments, extracting the density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and the smoke outlet from the density data specifically includes:

[0016] Extract the density statistical characteristics of the inlet density distribution map in the density data, and then perform feature dimensionality reduction on the density statistical characteristics to obtain the density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet;

[0017] Extract the density statistical characteristics of the outlet density distribution map in the density data, and then perform feature dimensionality reduction on the density statistical characteristics to obtain the density distribution characteristics of the electronic cigarette smoke particles at the smoke outlet.

[0018] In some embodiments, determining the smoke concentration amount inside the electronic cigarette through the density distribution characteristics at the smoke inlet and the smoke outlet specifically includes:

[0019] Perform spatial interpolation 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 at each spatial point inside the electronic cigarette;

[0020] Determine the smoke concentration amount inside the electronic cigarette according to all the local smoke concentrations.

[0021] In some embodiments, determining the attenuation interference of the internal temperature and humidity of the electronic cigarette on the photoelectric intensity specifically includes:

[0022] Collecting historical photoelectric propagation data inside the electronic cigarette, and simultaneously obtaining the temperature and humidity range inside the electronic cigarette;

[0023] Dividing the temperature and humidity range into multiple interference ranges based on the temperature and humidity influence model;

[0024] Extracting the interference values of the temperature and humidity on the attenuation of the photoelectric intensity within each interference range from the historical photoelectric propagation data;

[0025] Determining the attenuation interference of the internal temperature and humidity of the electronic cigarette on the photoelectric intensity through all the interference values.

[0026] In some embodiments, purifying and compensating the smoke concentration amount through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette specifically includes:

[0027] Initializing a purification compensation model based on the temperature and humidity weight distribution;

[0028] Taking the interference difference feature as the correction parameter of this purification compensation model;

[0029] Using the purification compensation model with the updated correction parameter to correct the smoke concentration amount to obtain the net smoke concentration inside the electronic cigarette.

[0030] In some embodiments, the photoelectric sensor is a non-contact sensor based on the photoelectric effect.

[0031] In a second aspect, the present application provides an electronic cigarette smoke concentration measurement system, including:

[0032] A collection module, configured to arrange photoelectric sensors at the smoke inlet and smoke outlet of the electronic cigarette, emit scattered light from a fixed light source to the photoelectric sensors, and collect the photoelectric distribution information received by the photoelectric sensors;

[0033] A processing module, configured to perform particle inversion on the photoelectric distribution information to obtain the density data of the smoke particles inside the electronic cigarette, respectively extract the density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and smoke outlet from the density data, and further determine the smoke concentration amount inside the electronic cigarette through the density distribution characteristics at the smoke inlet and smoke outlet;

[0034] The processing module is further configured to determine the attenuation interference of the internal temperature and humidity of the electronic cigarette on the photoelectric intensity, and determine the interference difference feature of the photoelectric intensity between the smoke inlet and smoke outlet inside the electronic cigarette through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and smoke outlet of the electronic cigarette;

[0035] An execution module, configured to perform purification compensation on the smoke concentration amount through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

[0036] In a third aspect, the present application provides a computer device, which includes 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 above-mentioned electronic cigarette smoke concentration measurement method.

[0037] In a fourth aspect, the present application 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 is caused to execute the above-mentioned electronic cigarette smoke concentration measurement method.

[0038] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects:

[0039] In an electronic cigarette smoke concentration measurement method, system, device and medium provided by the present application, photoelectric sensors are 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 sensors, and the photoelectric distribution information received by the photoelectric sensors is collected; particle inversion is performed on the photoelectric distribution information to obtain the density data of the smoke particles inside the electronic cigarette. The density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and the smoke outlet are respectively extracted from the density data, and then the smoke concentration amount inside the electronic cigarette is determined through the density distribution characteristics at the smoke inlet and the smoke outlet; the attenuation interference of the internal temperature and humidity of the electronic cigarette on the photoelectric intensity is determined, and the interference difference feature of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette is determined through the attenuation interference combined with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette; purification compensation is performed on the smoke concentration amount through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

[0040] It can be seen that in this application, the smoke concentration inside the e-cigarette is purified and compensated by interfering with the differential features, and the net smoke concentration inside the e-cigarette is obtained. 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 e-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 deduced, providing a key reference for the subsequent purification and compensation process, effectively supporting the accurate calibration of the smoke concentration, and finally being able to obtain the net smoke concentration that conforms to the actual environmental conditions, thereby improving the accuracy and reliability of the measurement. Then, by determining the interference differential features, the interference difference between the photoelectric intensity at the smoke inlet and the smoke outlet can be accurately identified. The changes in temperature and humidity inside the e-cigarette will directly affect the propagation of the photoelectric signal, causing unstable attenuation of the photoelectric intensity. By combining the temperature and humidity differential features at the smoke inlet and the smoke outlet of the e-cigarette, the attenuation interference can be effectively identified, providing accurate interference correction parameters for the subsequent purification and compensation, ensuring that the error caused by temperature and humidity can be eliminated when analyzing the smoke concentration, and finally obtaining a more real and stable net smoke concentration. In summary, based on the above solution, the purification and compensation of the e-cigarette smoke concentration can be realized by combining the differential features of the photoelectric propagation between the smoke inlet and the smoke outlet of the e-cigarette. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0042] Figure 1 is an exemplary flowchart of a method for measuring the smoke concentration of an e-cigarette according to some embodiments of the present application;

[0043] Figure 2 is a sectional structure diagram of an e-cigarette according to some embodiments of the present application;

[0044] Figure 3 is a schematic flowchart of determining the net smoke concentration according to some embodiments of the present application;

[0045] Figure 4 is a schematic structural diagram of a system for measuring the smoke concentration of an e-cigarette according to some embodiments of the present application;

[0046] Figure 5 is a schematic structural diagram of a computer device for implementing the method for measuring the smoke concentration of an e-cigarette according to some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] To better understand the technical solution of this application, the technical solution of this application will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0048] Refer to Figure 1 , which is an exemplary flowchart of a method for measuring the smoke concentration of an electronic cigarette shown according to some embodiments of this application. The method for measuring the smoke concentration of an electronic cigarette mainly includes the following steps:

[0049] In step 101, a photoelectric sensor is arranged at the smoke inlet and smoke outlet of the electronic cigarette. A fixed light source emits scattered light to the photoelectric sensor, and the photoelectric distribution information received by the photoelectric sensor is collected.

[0050] It should be noted that in this application, the photoelectric distribution information is a photoelectric signal used to reflect the scattering of smoke particles on the light beam; the photoelectric sensor is a non-contact sensor based on the photoelectric effect; the fixed light source represents a light source device that provides a stable and continuous light beam.

[0051] In specific implementation, photoelectric sensors are respectively installed at the smoke inlet and smoke outlet of the electronic cigarette, and a stable light source (for example: laser diode) is selected to emit light beams at a fixed angle and power to ensure consistent lighting conditions. The light emitted by this 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. To improve the signal quality, a high-sensitivity photodetector, 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 a signal amplification and filtering circuit to enhance the signal intensity and reduce noise.

[0052] In some embodiments, refer to Figure 2 as described, this figure is a sectional structure diagram of an electronic cigarette shown according to some embodiments of this application. This figure shows the internal structure of the electronic cigarette, including key components such as a lampshade, a light-emitting diode (LED), a lithium battery, a stainless steel tube, a switch assembly, an electrode ring, a copper part, and an atomization chamber, as well as the corrosion path that may be caused by the leakage of e-liquid. The electronic cigarette is powered by a lithium battery, and the e-liquid in the atomization chamber is heated to generate steam to simulate the smoking experience.

[0053] In step 102, particle inversion is performed on the photoelectric distribution information to obtain the density data of the smoke particles inside the electronic cigarette. The density distribution characteristics of the electronic cigarette smoke particles at the smoke inlet and smoke outlet are respectively extracted from the density data, and then the smoke concentration amount inside the electronic cigarette is determined through the density distribution characteristics at the smoke inlet and smoke outlet.

[0054] In some embodiments, the particle inversion of the optoelectronic distribution information to obtain the density data of the smoke particles inside the electronic cigarette can be achieved by the following steps:

[0055] Screen out the inlet optoelectronic signal and the outlet optoelectronic signal of the electronic cigarette from the optoelectronic distribution information;

[0056] Based on the scattering model, perform inverse calculation on the inlet optoelectronic signal to obtain the inlet density distribution map of the smoke particles at the inlet of the electronic cigarette smoke;

[0057] Based on the scattering model, perform inverse calculation on the outlet optoelectronic signal to obtain the outlet density distribution map of the smoke particles at the outlet of the electronic cigarette smoke;

[0058] Determine the density data of the smoke particles inside the electronic cigarette through the inlet density distribution map and the outlet density distribution map.

[0059] Specifically, when implemented, first, screening out the inlet optoelectronic signal and the outlet optoelectronic signal of the electronic cigarette from the optoelectronic distribution information can be achieved in the following way, that is: taking the optoelectronic signal collected at the inlet of the electronic cigarette smoke in the optoelectronic distribution information as the inlet optoelectronic signal of the electronic cigarette, and taking the optoelectronic signal collected at the outlet of the electronic cigarette smoke in the optoelectronic distribution information as the outlet optoelectronic signal of the electronic cigarette; second, based on the scattering model, performing inverse calculation on the inlet optoelectronic signal to obtain the inlet density distribution map of the smoke particles at the inlet of the electronic cigarette smoke can be achieved in the following way, that is: performing inverse calculation on the inlet optoelectronic signal based on the scattering model of Mie scattering theory to obtain the density values of the smoke particles at each spatial point at the inlet of the electronic cigarette smoke, and then mapping all the density values to the spatial coordinate system according to the positions of the spatial points as the inlet density distribution map of the smoke particles at the inlet of the electronic cigarette smoke; then, based on the scattering model, performing inverse calculation on the outlet optoelectronic signal to obtain the outlet density distribution map of the smoke particles at the outlet of the electronic cigarette smoke can be achieved in the following way, that is: performing inverse calculation on the inlet optoelectronic signal based on the scattering model of Mie scattering theory to obtain the density values of the smoke particles at each spatial point at the inlet of the electronic cigarette smoke, and then mapping all the density values to the spatial coordinate system according to the positions of the spatial points as the inlet density distribution map of the smoke particles at the inlet of the electronic cigarette smoke; finally, determining the density data of the smoke particles inside the electronic cigarette through the inlet density distribution map and the outlet density distribution map can be achieved in the following way, that is: taking the set of the inlet density distribution map and the outlet density distribution map as the density data of the smoke particles inside the electronic cigarette.

[0060] It should be noted that the density data represents the distribution of smoke particles at different spatial positions; the inlet optoelectronic signal represents the optoelectronic signal received by the sensor at the smoke inlet, and the outlet optoelectronic signal represents the optoelectronic signal received by the sensor at the smoke outlet; the inlet density distribution map represents the spatial distribution and concentration of smoke particles at the smoke inlet; the outlet density distribution map represents the spatial distribution and concentration of smoke particles at the smoke outlet; the Mie scattering theory is a physical model that describes the interaction between light and small particles (such as smoke particles), mainly used to calculate the intensity and direction of light scattering when a light beam passes through particles. In this application, this scattering model inversely calculates the density values of smoke particles at each spatial point by inputting optoelectronic signals (such as the scattering effect of smoke particles on light) and combining information such as the size, shape, and distribution of the particles.

[0061] In some embodiments, the following steps can be used to separately extract the density distribution characteristics of e-cigarette smoke particles at the smoke inlet and the smoke outlet from the density data:

[0062] Extract the density statistical characteristics of the inlet density distribution map in the density data, and then perform feature dimensionality reduction on the density statistical characteristics to obtain the density distribution characteristics of e-cigarette smoke particles at the smoke inlet;

[0063] Extract the density statistical characteristics of the outlet density distribution map in the density data, and then perform feature dimensionality reduction on the density statistical characteristics to obtain the density distribution characteristics of e-cigarette smoke particles at the smoke outlet.

[0064] Specifically, first, the density statistical characteristics of the inlet density distribution map in the density data can be extracted, and then the following method can be used to perform feature dimensionality reduction on the density statistical characteristics to obtain the density distribution characteristics of e-cigarette smoke particles at the smoke inlet, that is: calculate the gradient value, mean value, and variance of all density values in the inlet density distribution map of the density data as the density statistical characteristics, so as to obtain the density statistical characteristics of the inlet density distribution map in the density data. 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 can be calculated and added to the density statistical characteristics, which is not limited here; use the principal component analysis algorithm to perform dimensionality reduction on the density statistical characteristics, and select the principal components that can best represent the inlet density distribution, so as to remove redundant information and improve the calculation efficiency, and thus use the dimensionality-reduced density statistical characteristics as the density distribution characteristics of e-cigarette smoke particles at the smoke inlet.

[0065] It should be noted that in this application, the density distribution feature is a feature used to describe the spatial distribution law of smoke concentration; the density statistical feature is an overall feature used to describe the density of smoke particles; the kernel density estimation method is a non-parametric method for estimating the probability density function of a random variable. By using a smoothing kernel function (such as a Gaussian kernel) for 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 density values and enhance the expression ability of features; the principal component analysis algorithm is a commonly used dimensionality reduction technique, whose purpose is to map data from a high-dimensional space to a low-dimensional space through a 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 the new coordinate axes to obtain the 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 dimension of the density statistical feature, thereby reducing the computational complexity and screening out the principal components that can best represent the inlet density distribution, which helps to improve the efficiency and accuracy of subsequent analysis.

[0066] Then, the density statistical features of the outlet density distribution map in the density data are extracted, and then the dimensionality reduction of the density statistical features is performed to obtain the density distribution features of the e-cigarette smoke particles at the smoke outlet, which can be implemented in the following way, that is: the gradient value, mean value, 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 principal component analysis is used to perform dimensionality reduction on the density statistical features, and the density statistical features after dimensionality reduction are used as the density distribution features of the e-cigarette smoke particles at the smoke outlet.

[0067] In some embodiments, determining the smoke concentration amount inside the e-cigarette based on the density distribution features at the smoke inlet and the smoke outlet can be implemented by the following steps:

[0068] Perform spatial interpolation on the smoke concentration inside the e-cigarette based on the density distribution features at the smoke inlet and the smoke outlet to obtain the local smoke concentration at each spatial point inside the e-cigarette;

[0069] Determine the smoke concentration amount inside the e-cigarette based on all the local smoke concentrations.

[0070] In specific implementation, first, spatial interpolation is performed on the smoke concentration inside the electronic cigarette based on the density distribution characteristics at the smoke inlet and the smoke outlet, and the local smoke concentration at each spatial point inside the electronic cigarette can be obtained in the following manner, that is: establish a spatial coordinate system inside the electronic cigarette, project all the density values at the smoke inlet and the smoke outlet onto this spatial coordinate system to form a known point data set, and the radial basis function interpolation algorithm can be selected to estimate the smoke concentration at each spatial point inside the electronic cigarette. Use the density distribution characteristics at the smoke inlet and the smoke outlet as the density change trends at the smoke inlet and the smoke outlet in the estimation, so that the estimated values of the smoke concentration at each spatial point are used as the local smoke concentration, and thus the local smoke concentration at each spatial point inside the electronic cigarette can be obtained; then, the smoke concentration amount inside the electronic cigarette can be determined according to all the local smoke concentrations in the following manner, that is: the mean value of all the local smoke concentrations can be used as the smoke concentration amount inside the electronic cigarette.

[0071] It should be noted that the smoke concentration amount is the quantified 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 applicable to 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 the weight function, take the known data points (such as the density distribution characteristics at the smoke inlet and outlet of the electronic cigarette) as the control points, and calculate the influence weights of these control points on any spatial point to infer the smoke concentration at each spatial point. In this application, the density change trends at the smoke inlet and the smoke outlet are used as the distribution characteristics of the control points, and through the radial basis function interpolation, the estimated values of the smoke concentration at each spatial point inside the electronic cigarette conform to the overall smoke diffusion characteristics, and finally the distribution of the local smoke concentration is obtained, realizing the accurate spatial estimation of the smoke concentration.

[0072] In step 103, 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 by combining the attenuation interference with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette.

[0073] In some embodiments, the determination of the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity can be implemented by the following steps:

[0074] Collect the historical photoelectric propagation data inside the electronic cigarette, and at the same time obtain the temperature and humidity range inside the electronic cigarette;

[0075] Based on the temperature and humidity influence model, divide the temperature and humidity range into multiple interference ranges;

[0076] Extract the interference values of the temperature and humidity on the photoelectric intensity attenuation in each interference range from the historical photoelectric propagation data;

[0077] Determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity through all the interference values.

[0078] When specifically implemented, collect the historical photoelectric propagation data inside the electronic cigarette. At the same time, the temperature and humidity range inside the electronic cigarette can be obtained in the following way: obtain the photoelectric intensity records during the scattering light propagation inside the electronic cigarette within a specified time period (by default, within 1 week) from the cloud database of the electronic cigarette. Take the set of all photoelectric intensity records as the historical photoelectric propagation data. At the same time, obtain the temperature and humidity values inside the electronic cigarette within the specified time period (by default, within 1 week) from the cloud database of the electronic cigarette, so as to screen out the maximum and minimum values of the temperature and humidity values. Take the range from the minimum value to the maximum value as the temperature and humidity range inside the electronic cigarette; secondly, divide the temperature and humidity range into multiple interference ranges based on the temperature and humidity influence model, which can be implemented in the following way: a temperature and humidity influence model based on the clustering algorithm can be used to cluster the frequency of the temperature and humidity range among all the temperature and humidity values, obtaining multiple clustering clusters of temperature and humidity. Each clustering cluster represents a temperature and humidity range with a similar degree of influence on the attenuation of the photoelectric intensity. Thus, 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.

[0079] Then, when specifically implemented, extract the interference values of the temperature and humidity on the attenuation of the photoelectric intensity within each interference range from the historical photoelectric propagation data, which can be implemented in the following way: for each interference range, screen out all the photoelectric intensity records in the historical photoelectric propagation data where the temperature and humidity are both within the interference range. Calculate the difference between the emission intensity and the received intensity in each photoelectric intensity record as the attenuation value of the photoelectric intensity. Thus, take the standard deviation of all the attenuation values as the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity; determine the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity through all the interference values, which can be implemented in the following way: take the set of all the interference values as the attenuation interference of the temperature and humidity inside the electronic cigarette on the photoelectric intensity.

[0080] It should be noted that in this application, the attenuation interference represents the degree of influence of the temperature and humidity change inside the electronic cigarette on the attenuation of the photoelectric signal intensity; the historical photoelectric propagation data represents the historical records of the photoelectric signal propagation inside the electronic cigarette under different temperature and humidity conditions; the temperature and humidity range represents the range of different temperature and humidity conditions inside the electronic cigarette; the interference range is the temperature and humidity range used to evaluate the interference effect under different external environmental conditions; the interference value refers to the quantitative influence value of the temperature and humidity on the attenuation of the photoelectric intensity.

[0081] In some embodiments, determining the interference difference characteristics of the photoelectric intensity between the smoke inlet and the smoke outlet inside the electronic cigarette through the attenuation interference in combination with the temperature and humidity difference between the smoke inlet and the smoke outlet of the electronic cigarette can be implemented by the following steps:

[0082] Obtain the temperature and humidity characteristics of the e-cigarette smoke inlet and the smoke outlet, and then determine the temperature and humidity difference between the e-cigarette smoke inlet and the smoke outlet;

[0083] Extract the interference values of the temperature and humidity characteristics at the e-cigarette smoke inlet and the smoke outlet on the photoelectric intensity attenuation from the attenuation interference, and then determine the interference difference value between the e-cigarette smoke inlet and the smoke outlet;

[0084] Determine the interference difference characteristics of the photoelectric intensity between the e-cigarette internal smoke inlet and the smoke outlet according to the temperature and humidity difference and the interference difference value.

[0085] When specifically implemented, first, to obtain the temperature and humidity characteristics of the e-cigarette smoke inlet and the smoke outlet, and then determine the temperature and humidity difference between the e-cigarette smoke inlet and the smoke outlet can be achieved by the following method, that is: arrange temperature and humidity sensors at the e-cigarette smoke inlet and the smoke outlet respectively, monitor the set of temperature value and humidity value at the e-cigarette smoke inlet as the temperature and humidity characteristics of the e-cigarette smoke inlet, monitor the set of temperature value and humidity value at the e-cigarette smoke outlet as the temperature and humidity characteristics of the e-cigarette smoke outlet, take the absolute value of the difference between the humidity values in the temperature and humidity characteristics between the smoke inlet and the smoke outlet as the humidity difference, take the absolute value of the difference between the temperature values in the temperature and humidity characteristics between the smoke inlet and the smoke outlet as the temperature difference, so as to take the set of the humidity difference and the temperature difference as the temperature and humidity difference between the e-cigarette smoke inlet and the smoke outlet; then, to extract the interference values of the temperature and humidity characteristics at the e-cigarette smoke inlet and the smoke outlet on the photoelectric intensity attenuation from the attenuation interference, and then determine the interference difference value between the e-cigarette smoke inlet and the smoke outlet can be achieved by the following method, that is: screen out the interference values in the interference intervals of the temperature value and the humidity value in the temperature and humidity characteristics of the e-cigarette smoke inlet from the attenuation interference as the interference value of the temperature and humidity characteristics of the e-cigarette smoke inlet on the photoelectric intensity attenuation, screen out the interference values in the interference intervals of the temperature value and the humidity value in the temperature and humidity characteristics of the e-cigarette smoke outlet from the attenuation interference as the interference value of the temperature and humidity characteristics of the e-cigarette smoke outlet on the photoelectric intensity attenuation, so that the absolute value of the difference between the two interference values can be taken as the interference difference value between the e-cigarette smoke inlet and the smoke outlet; finally, to determine the interference difference characteristics of the photoelectric intensity between the e-cigarette internal smoke inlet and the smoke outlet according to the temperature and humidity difference and the interference difference value can be achieved by the following method, that is: construct a multivariate regression model, combine the temperature and humidity difference and the interference difference value, and calculate the interference difference characteristics of the photoelectric intensity between the e-cigarette internal smoke inlet and the smoke outlet, that is, the interference difference characteristics = m * temperature and humidity difference + n * interference difference value + p, where m, n, p are the parameters of the multivariate regression model and are obtained by training with historical operation data.

[0086] It should be noted that in this application, the interference difference feature represents the differential performance of the attenuation interference of the optoelectronic signal caused by the temperature and humidity changes in different regions of the electronic cigarette; the temperature and humidity feature represents the temperature and humidity information inside the electronic cigarette, and the temperature and humidity difference represents the difference in temperature and humidity between the smoke inlet and the smoke outlet; the interference difference value represents the numerical difference in the attenuation interference of the optoelectronic signal caused by the temperature and humidity difference.

[0087] In step 104, the smoke concentration amount is purified and compensated through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette.

[0088] In some embodiments, the smoke concentration amount is purified and compensated through the interference difference feature to obtain the net smoke concentration inside the electronic cigarette. Refer to Figure 3 As described, this figure is a schematic flowchart for determining the net smoke concentration in some embodiments of this application. In this embodiment, the net smoke concentration can be determined by the following steps:

[0089] In step 1041, a purification compensation model based on the temperature and humidity weight distribution is initialized;

[0090] In step 1042, the interference difference feature is used as the correction parameter of this purification compensation model;

[0091] In step 1043, the smoke concentration amount is corrected (i.e., purified and compensated) using the purification compensation model with the updated correction parameter to obtain the net smoke concentration inside the electronic cigarette.

[0092] It should be noted that the net smoke concentration represents the true smoke concentration value after removing the interference of environmental factors. In this application, the purification compensation model is a mathematical model based on the temperature and humidity weight distribution, which is used to eliminate the influence of temperature and humidity changes on the measurement of the smoke concentration by the optoelectronic signal and improve the accuracy of the smoke concentration measurement. The core principle of this purification compensation model is as follows: First, based on the historical optoelectronic propagation data under different temperature and humidity conditions inside the electronic cigarette, an influence function of temperature and humidity on the attenuation of the optoelectronic signal is constructed, and the weight distribution of temperature and humidity on the optoelectronic signal in different intervals is calculated based on statistical analysis or machine learning methods (such as regression analysis, neural network); Second, using the temperature and humidity features at the smoke inlet and the smoke outlet, combined with the interference difference feature, the correction parameter of this model is dynamically adjusted to make it adaptable 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 obtain the net smoke concentration inside the electronic cigarette, that is, the true smoke concentration value after removing the interference of environmental factors.

[0093] In addition, on the other hand of this application, in some embodiments, this application provides an electronic cigarette smoke concentration measurement system. Refer to Figure 4, which is a schematic structural diagram of an e-cigarette smoke concentration measurement system according to some embodiments of the present application. The e-cigarette smoke concentration measurement system includes: a collection module 201, a processing module 202, and an execution module 203, which are described as follows:

[0094] Collection module 201. In the present application, the collection module 201 is mainly used to arrange optoelectronic sensors at the e-cigarette smoke inlet and smoke outlet, emit scattered light from a fixed light source to the optoelectronic sensors, and collect the optoelectronic distribution information of the scattered light received by the optoelectronic sensors;

[0095] Processing module 202. In the present application, the processing module 202 is used to perform particle inversion on the optoelectronic distribution information to obtain the density data of the smoke particles inside the e-cigarette, extract the density distribution characteristics of the e-cigarette smoke particles at the smoke inlet and smoke outlet from the density data, and then determine the smoke concentration inside the e-cigarette through the density distribution characteristics at the smoke inlet and smoke outlet;

[0096] It should be noted that the processing module 202 is also used to determine the attenuation interference of the temperature and humidity inside the e-cigarette on the optoelectronic intensity, and determine the interference difference characteristics of the optoelectronic intensity between the smoke inlet and smoke outlet inside the e-cigarette through the attenuation interference combined with the temperature and humidity difference between the e-cigarette smoke inlet and smoke outlet;

[0097] Execution module 203. In the present application, the execution module 203 is mainly used to perform purification compensation on the smoke concentration through the interference difference characteristics to obtain the net smoke concentration inside the e-cigarette.

[0098] The above text details the examples of the e-cigarette smoke concentration measurement method, system, device, and medium provided by the embodiments of the present application. It can be understood that, correspondingly, the device includes the corresponding hardware structure and / or software module for implementing the above functions. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments disclosed in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain 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 technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0099] In some embodiments, the present application further provides a computer device, which includes 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 above e-cigarette smoke concentration measurement method.

[0100] In some embodiments, refer to Figure 5 , the dashed lines in the figure indicate that the unit or the module is optional. This figure is a schematic structural diagram of a computer device for implementing the method for measuring the e-cigarette smoke concentration according to an embodiment of the present application. The method for measuring the e-cigarette smoke concentration described in the above embodiments can be implemented by Figure 5 the computer device shown. 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.

[0101] The processor 301 can be a general-purpose processor or a dedicated processor. For example, the processor 301 can be a central processing unit (CPU). The CPU can be used to control the computer device, execute software programs, and process the data of the software programs. The computer device can also include a communication unit 305 for implementing signal input (reception) and output (transmission).

[0102] For example, the computer device can be a chip, and the communication unit 305 can be the input and / or output circuit of the chip. Alternatively, the communication unit 305 can be the communication interface of the chip. The chip can be a component of a terminal device, a network device, or other devices.

[0103] Again, for example, the computer device can be a terminal device or a server, and the communication unit 305 can be the transceiver of the terminal device or the server. Alternatively, the communication unit 305 can be the transceiver circuit of the terminal device or the server.

[0104] The computer device can include one or more memories 302, on which there is a program 304. The program 304 can be run by the processor 301 to generate instructions 303, so that the processor 301 executes the method described in the above method embodiments according to the instructions 303. Optionally, data (such as a target review model) can also be stored in the memory 302. Optionally, the processor 301 can also read the data stored in the memory 302. 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.

[0105] The processor 301 and the memory 302 can be set separately or integrated together. For example, they can be integrated on a system on chip (SOC) of a terminal device.

[0106] It should be understood that each step of the above method embodiments can be completed by a logic circuit in the form of hardware or instructions in the form of software 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. For example, discrete gates, transistor logic devices, or discrete hardware components.

[0107] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take 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 code.

[0108] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or code are stored. When the instructions or code run on a computer, the computer is caused to execute the above-mentioned method for measuring the smoke concentration of an electronic cigarette.

[0109] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0110] 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 equivalent technologies, the present application is also intended to include these changes and modifications.

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; Purifying and compensating the smoke concentration by using the interference difference characteristics to obtain a net smoke concentration inside the electronic cigarette; The photoelectric distribution information is subjected to particle inversion to obtain density data of smoke particles inside the electronic cigarette, which 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; Determine density data of smoke particles inside the electronic cigarette through the inlet density distribution map and the outlet density distribution map; Wherein, 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; Determine the smoke concentration amount inside the electronic cigarette based on all local smoke concentrations; Among them, 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.

2. 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.

3. 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.

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

5. An electronic cigarette smoke concentration measurement system, which uses the method according to any one of claims 1 to 4 to measure the electronic cigarette smoke concentration, characterized in that: The system includes: 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.

6. 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 4.

7. 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 4.

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