Special formula anti-fake and identification method and system for rock salt aerosol therapeutic apparatus

Abstract

The application provides a special ingredient anti-counterfeiting and identification method and system for a rock salt aerosol therapeutic instrument. The method comprises the following steps: collecting anti-counterfeiting characteristic parameters of a target special ingredient, comparing the anti-counterfeiting characteristic parameters with a preset genuine standard library, obtaining a parameter deviation set, performing anti-counterfeiting judgment according to the parameter deviation set, and obtaining a judgment result, including genuine ingredients, suspicious ingredients, and counterfeit ingredients; if the judgment result is suspicious ingredients, processing the anti-counterfeiting characteristic parameters to obtain an intrinsic anti-counterfeiting confidence and a packaging anti-counterfeiting confidence; processing the intrinsic anti-counterfeiting confidence and the packaging anti-counterfeiting confidence to obtain a comprehensive anti-counterfeiting coefficient, performing secondary anti-counterfeiting judgment, and performing corresponding intervention measures, so as to realize the anti-counterfeiting and identification technology of the special ingredient of the rock salt aerosol therapeutic instrument.

Description

Technical Field

[0001] This application relates to the field of anti-counterfeiting technology, and more specifically, to a method and system for anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices. Background Technology

[0002] The specialized rock salt ingredients for rock salt aerosol therapy devices are crucial for the normal operation of the equipment, and their quality directly determines the device's performance and stability. These specialized ingredients have specific physicochemical and appearance characteristics and are not ordinary salt. The use of non-specialized ingredients is strictly prohibited, as it will lead to abnormal equipment operation and performance degradation. Currently, counterfeit and substandard specialized ingredients exist on the market. These ingredients are difficult to identify quickly through conventional methods, and there is a lack of systematic and accurate anti-counterfeiting and identification means. Existing anti-counterfeiting technologies mostly focus on simple labeling of ordinary table salt, which cannot adapt to the characteristic requirements of specialized ingredients, making it difficult to achieve multi-dimensional accurate judgment and easily leading to misjudgments and omissions.

[0003] The influx of counterfeit ingredients not only affects the normal operation and performance of the therapeutic device, but also damages the brand reputation of the manufacturer and poses risks to users. Therefore, there is an urgent need for a method and system that can accurately and efficiently identify the authenticity of ingredients for rock salt aerosol therapeutic devices, to overcome the shortcomings of existing technologies, and to ensure the quality of equipment operation and product compliance. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices. This method involves collecting anti-counterfeiting feature parameters of the target special ingredients, comparing these parameters with a preset genuine product standard library to obtain a parameter deviation set, performing anti-counterfeiting judgment based on the parameter deviation set, and obtaining judgment results, including genuine ingredients, questionable ingredients, and counterfeit ingredients. If the judgment result is a questionable ingredient, the anti-counterfeiting feature parameters are processed to obtain the confidence level of the product anti-counterfeiting and the confidence level of the packaging anti-counterfeiting. The confidence levels of the product anti-counterfeiting and the packaging anti-counterfeiting are then processed to obtain a comprehensive anti-counterfeiting coefficient, and a secondary anti-counterfeiting judgment is performed, thus realizing the technology for anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices.

[0005] This application also provides a method for anti-counterfeiting and identification of ingredients for a rock salt aerosol therapy device, including the following steps:

[0006] Collect anti-counterfeiting feature parameters of the target special ingredients;

[0007] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with a preset genuine product standard library.

[0008] Anti-counterfeiting judgment is performed based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients;

[0009] If the judgment result is that the ingredients are questionable, the ingredients are processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging.

[0010] The anti-counterfeiting confidence levels of the device itself and the packaging are processed to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed.

[0011] Optionally, in the method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device described in this application, the step of collecting anti-counterfeiting feature parameters of the target special ingredients includes:

[0012] Collect anti-counterfeiting feature parameters of the target special ingredients, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters;

[0013] The intrinsic physicochemical anti-counterfeiting parameters include NaCl purity parameters, mineral element ratio parameters, and infrared spectral characteristic parameters.

[0014] The physicochemical anti-counterfeiting parameters include the micro-salt particle ratio parameter, particle size distribution parameter, and dissolution rate parameter.

[0015] The anti-counterfeiting parameters of the packaging appearance include UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters.

[0016] Optionally, in the method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device described in this application, the step of comparing anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set includes:

[0017] Obtain the anti-counterfeiting judgment threshold set corresponding to the anti-counterfeiting feature parameters based on the preset genuine product standard library;

[0018] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with the anti-counterfeiting judgment threshold set.

[0019] Calculate the total score for standard library matching based on the parameter deviation set.

[0020] Optionally, in the method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device described in this application, the step of performing anti-counterfeiting judgment based on the parameter deviation set and obtaining the judgment result includes genuine ingredients, questionable ingredients, and counterfeit ingredients, including:

[0021] Obtain a preset deviation threshold set, including a first preset deviation threshold and a second preset deviation threshold, wherein the first preset deviation threshold is less than the second preset deviation threshold;

[0022] The comparison results are obtained by comparing the deviations of each parameter in the parameter deviation set with the preset deviation thresholds.

[0023] Based on the comparison results, an anti-counterfeiting judgment is performed to obtain the judgment result;

[0024] If all parameter deviations are less than or equal to the first preset deviation threshold, the result is determined to be genuine ingredients.

[0025] If any parameter deviation exceeds the second preset deviation threshold, the result is determined to be counterfeit ingredients;

[0026] Otherwise, the result is determined to be a questionable ingredient.

[0027] Optionally, in the method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device described in this application, if the judgment result is a questionable ingredient, processing is performed according to anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging, including:

[0028] If the judgment result is that the ingredients are questionable, the product anti-counterfeiting confidence level is obtained by processing the NaCl purity parameter, mineral element ratio parameter, infrared spectral characteristic parameter, micro-salt particle ratio parameter, particle size distribution parameter and dissolution rate parameter through a preset physicochemical and performance identification model.

[0029] Based on the UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters, the packaging anti-counterfeiting confidence level is obtained by processing the data through a preset packaging anti-counterfeiting identification model.

[0030] Optionally, in the special ingredient anti-counterfeiting and identification method for the rock salt aerosol therapy device described in this application, the step of processing based on the anti-counterfeiting confidence level of the device itself and the anti-counterfeiting confidence level of the packaging to obtain a comprehensive anti-counterfeiting coefficient, and performing a secondary anti-counterfeiting judgment, includes:

[0031] Based on the confidence level of the anti-counterfeiting system itself and the confidence level of the anti-counterfeiting system of the packaging, and combined with the total score of the standard library, a weighted average is calculated to obtain the comprehensive anti-counterfeiting coefficient.

[0032] A secondary anti-counterfeiting judgment is performed based on the comprehensive anti-counterfeiting coefficient.

[0033] If the overall anti-counterfeiting coefficient is greater than or equal to the first preset anti-counterfeiting threshold, it is determined to be genuine ingredients;

[0034] If the comprehensive anti-counterfeiting coefficient is greater than or equal to the second preset anti-counterfeiting threshold and less than the first preset anti-counterfeiting threshold, it is determined to be a questionable ingredient.

[0035] If the overall anti-counterfeiting coefficient is less than the second preset anti-counterfeiting threshold, it is determined to be counterfeit ingredients.

[0036] Secondly, this application provides a dedicated ingredient anti-counterfeiting and identification system for a rock salt aerosol therapy device. The system includes a memory and a processor. The memory contains a program for a dedicated ingredient anti-counterfeiting and identification method for a rock salt aerosol therapy device. When the program for the dedicated ingredient anti-counterfeiting and identification method for a rock salt aerosol therapy device is executed by the processor, it performs the following steps:

[0037] Collect anti-counterfeiting feature parameters of the target special ingredients;

[0038] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with a preset genuine product standard library.

[0039] Anti-counterfeiting judgment is performed based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients;

[0040] If the judgment result is that the ingredients are questionable, the ingredients are processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging.

[0041] The anti-counterfeiting confidence levels of the device itself and the packaging are processed to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed.

[0042] Optionally, in the anti-counterfeiting and identification system for the dedicated ingredients of the rock salt aerosol therapy device described in this application, the anti-counterfeiting feature parameters for collecting the target dedicated ingredients include:

[0043] Collect anti-counterfeiting feature parameters of the target special ingredients, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters;

[0044] The intrinsic physicochemical anti-counterfeiting parameters include NaCl purity parameters, mineral element ratio parameters, and infrared spectral characteristic parameters.

[0045] The physicochemical anti-counterfeiting parameters include the micro-salt particle ratio parameter, particle size distribution parameter, and dissolution rate parameter.

[0046] The anti-counterfeiting parameters of the packaging appearance include UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters.

[0047] Optionally, in the dedicated ingredient anti-counterfeiting and identification system for the rock salt aerosol therapy device described in this application, the step of comparing anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set includes:

[0048] Obtain the anti-counterfeiting judgment threshold set corresponding to the anti-counterfeiting feature parameters based on the preset genuine product standard library;

[0049] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with the anti-counterfeiting judgment threshold set.

[0050] Calculate the total score for standard library matching based on the parameter deviation set.

[0051] Optionally, in the dedicated ingredient anti-counterfeiting and identification system for the rock salt aerosol therapy device described in this application, the step of performing anti-counterfeiting judgment based on the parameter deviation set and obtaining the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients, includes:

[0052] Obtain a preset deviation threshold set, including a first preset deviation threshold and a second preset deviation threshold, wherein the first preset deviation threshold is less than the second preset deviation threshold;

[0053] The comparison results are obtained by comparing the deviations of each parameter in the parameter deviation set with the preset deviation thresholds.

[0054] Based on the comparison results, an anti-counterfeiting judgment is performed to obtain the judgment result;

[0055] If all parameter deviations are less than or equal to the first preset deviation threshold, the result is determined to be genuine ingredients.

[0056] If any parameter deviation exceeds the second preset deviation threshold, the result is determined to be counterfeit ingredients;

[0057] Otherwise, the result is determined to be a questionable ingredient.

[0058] As can be seen from the above, the anti-counterfeiting and identification method and system for the special ingredients of the rock salt aerosol therapy device provided in this application collects the anti-counterfeiting feature parameters of the target special ingredients, compares the anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set, performs anti-counterfeiting judgment based on the parameter deviation set, and obtains the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients. If the judgment result is a questionable ingredient, it is processed according to the anti-counterfeiting feature parameters to obtain the anti-counterfeiting confidence level of the product and the anti-counterfeiting confidence level of the packaging. It is then processed according to the anti-counterfeiting confidence level of the product and the packaging to obtain a comprehensive anti-counterfeiting coefficient, and performs a secondary anti-counterfeiting judgment, thereby realizing the technology of anti-counterfeiting and identification of the special ingredients of the rock salt aerosol therapy device.

[0059] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0060] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1 A flowchart illustrating the anti-counterfeiting and identification method for the special ingredients of the rock salt aerosol therapy device provided in this application embodiment;

[0062] Figure 2 A schematic diagram of the architecture of the special ingredient anti-counterfeiting and identification method for the rock salt aerosol therapy device provided in the embodiments of this application. Detailed Implementation

[0063] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0064] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0065] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for preventing counterfeiting and identifying the special ingredients of a rock salt aerosol therapy device according to some embodiments of this application. This method is used in terminal devices such as computers and mobile phones. The method includes the following steps:

[0066] S11. Collect anti-counterfeiting feature parameters of the target special ingredients;

[0067] S12. Compare the anti-counterfeiting feature parameters with the preset genuine product standard library to obtain the parameter deviation set;

[0068] S13. Perform anti-counterfeiting judgment based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients and counterfeit ingredients;

[0069] S14. If the judgment result is that the ingredient is questionable, it is processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging.

[0070] S15. Process the anti-counterfeiting confidence levels of the device itself and the packaging to obtain a comprehensive anti-counterfeiting coefficient, and then perform a secondary anti-counterfeiting judgment.

[0071] It is particularly important to note that the market is currently flooded with counterfeit and substandard ingredients, making it difficult to accurately identify using conventional anti-counterfeiting methods. This often leads to misjudgments and omissions, failing to effectively distinguish between genuine, questionable, and counterfeit ingredients. To address this issue, a counterfeit and identification scheme for the ingredients of rock salt aerosol therapy devices is proposed below. First, anti-counterfeiting feature parameters of the target ingredient are collected, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters. These anti-counterfeiting feature parameters are then compared with a pre-set genuine product standard database. The system obtains a parameter deviation set, calculates the total score for standard library matching based on the parameter deviation set, and performs anti-counterfeiting judgment based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients. If the judgment result is a questionable ingredient, it is processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the product and the packaging. It is then weighted and processed in combination with the total score for standard library matching to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed. This achieves the technology of anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices.

[0072] According to an embodiment of the present invention, the method of collecting anti-counterfeiting feature parameters of the target special ingredient includes:

[0073] Collect anti-counterfeiting feature parameters of the target special ingredients, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters;

[0074] The intrinsic physicochemical anti-counterfeiting parameters include NaCl purity parameters, mineral element ratio parameters, and infrared spectral characteristic parameters.

[0075] The physicochemical anti-counterfeiting parameters include the micro-salt particle ratio parameter, particle size distribution parameter, and dissolution rate parameter.

[0076] The anti-counterfeiting parameters of the packaging appearance include UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters.

[0077] It is particularly important to note that comprehensive collection of anti-counterfeiting features of the target-specific ingredients covers three major categories: internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters. Among these, internal physicochemical anti-counterfeiting parameters focus on the core material properties of the ingredients themselves, serving as the basis for distinguishing genuine from counterfeit ingredients. These mainly include NaCl purity parameters, mineral element ratio parameters, and infrared spectral feature parameters. The NaCl purity parameter directly reflects the purity of the core component of the ingredient; genuine ingredients must meet preset purity standards, while counterfeit ingredients often contain impurities due to cost considerations, resulting in substandard purity. The mineral element ratio parameter collects the unique proportions of trace mineral elements specific to genuine ingredients; this ratio is unique and a key indicator for anti-counterfeiting identification. Infrared spectral feature parameters detect the infrared absorption spectrum of the ingredients, capturing the unique spectral peaks and waveforms of genuine products, enabling rapid identification of counterfeit ingredients. Physicochemical performance anti-counterfeiting parameters emphasize the usage characteristics of the ingredients, directly related to the therapeutic effect of the treatment device, including micro-... The parameters for salt particle proportion, particle size distribution, and dissolution rate are as follows: The salt particle proportion parameter reflects the content of micro-salt particles in the ingredients that meet therapeutic requirements, ensuring effective aerosol generation; the particle size distribution parameter detects the size distribution range of micro-salt particles, which must meet the compatibility standards of the therapeutic device; the dissolution rate parameter measures the dissolution speed of the ingredients under specific conditions; genuine ingredients have a fixed dissolution rate range, while counterfeit ingredients often show significant deviations; the packaging appearance anti-counterfeiting parameters focus on the exclusive anti-counterfeiting design of the ingredient's outer packaging to prevent packaging counterfeiting, including UDI code texture, anti-replication QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters; the UDI code texture is unique, enabling full traceability of the ingredients; the anti-replication QR code has anti-replication and anti-copying characteristics, and scanning it can verify the authenticity of the ingredients; the anti-counterfeiting ink fluorescence response parameter detects the fluorescence reaction of the anti-counterfeiting ink on the packaging under specific light source illumination; the fluorescence intensity and wavelength of genuine ink have fixed standards, which can quickly distinguish counterfeit packaging.

[0078] According to an embodiment of the present invention, the step of comparing anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set includes:

[0079] Obtain the anti-counterfeiting judgment threshold set corresponding to the anti-counterfeiting feature parameters based on the preset genuine product standard library;

[0080] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with the anti-counterfeiting judgment threshold set.

[0081] Calculate the total score for standard library matching based on the parameter deviation set.

[0082] It should be specifically noted that, firstly, an anti-counterfeiting threshold set corresponding to the anti-counterfeiting feature parameters is obtained based on a preset genuine product standard library. This preset standard library is constructed based on a large amount of measured data from genuine product-specific ingredients, encompassing standard ranges for three main categories of anti-counterfeiting feature parameters: internal physicochemical properties, physicochemical performance, and packaging appearance. The anti-counterfeiting threshold set is the critical value corresponding to each parameter extracted from this standard library, covering the upper and lower limits of each feature parameter's qualification, while clearly defining the weight percentage of each parameter. Secondly, the collected target-specific ingredient anti-counterfeiting feature parameters are compared with the anti-counterfeiting threshold set to obtain a parameter deviation set. During the comparison process, the deviation of each anti-counterfeiting feature parameter is... The measured values ​​are compared one by one with the corresponding thresholds to calculate the deviation between the measured value and the threshold standard value of each parameter. The direction of the deviation (above or below the threshold) is also marked. The deviation data of all parameters are summarized to form a parameter deviation set, which clearly shows the degree of difference between the target ingredients and the genuine product standard. Finally, the total score for standard library matching is calculated based on the parameter deviation set. Combining the weight ratio of each anti-counterfeiting feature parameter in the preset genuine product standard library, each deviation data in the parameter deviation set is weighted and calculated. The smaller the deviation, the higher the corresponding score. If the deviation exceeds the threshold range, the corresponding score is deducted. Finally, the weighted scores of all parameters are summed to obtain the total score for standard library matching.

[0083] According to an embodiment of the present invention, the step of performing anti-counterfeiting determination based on a parameter deviation set to obtain a determination result includes genuine ingredients, questionable ingredients, and counterfeit ingredients, including:

[0084] Obtain a preset deviation threshold set, including a first preset deviation threshold and a second preset deviation threshold, wherein the first preset deviation threshold is less than the second preset deviation threshold;

[0085] The comparison results are obtained by comparing the deviations of each parameter in the parameter deviation set with the preset deviation thresholds.

[0086] Based on the comparison results, an anti-counterfeiting judgment is performed to obtain the judgment result;

[0087] If all parameter deviations are less than or equal to the first preset deviation threshold, the result is determined to be genuine ingredients.

[0088] If any parameter deviation exceeds the second preset deviation threshold, the result is determined to be counterfeit ingredients;

[0089] Otherwise, the result is determined to be a questionable ingredient.

[0090] It is important to note that, firstly, a preset deviation threshold set is obtained. This threshold set is a judgment benchmark based on the parameter deviation patterns of genuine ingredients, including a first preset deviation threshold and a second preset deviation threshold, with the first preset deviation threshold explicitly specified to be less than the second preset deviation threshold. The first preset deviation threshold corresponds to the upper limit of allowable deviation for genuine ingredients; parameter deviations within this range are considered normal fluctuations. The second preset deviation threshold corresponds to the judgment threshold for counterfeit ingredients; parameter deviations exceeding this range are directly considered counterfeit. Together, these two thresholds constitute the core standard for graded judgment. Secondly, each parameter deviation in the parameter deviation set is compared one by one with the corresponding threshold in the preset deviation threshold set to obtain detailed comparison results. During the comparison process, it must be ensured that each parameter deviation corresponds to the corresponding threshold. The values ​​must be accurately matched without omissions or mismatches. The comparison results must clearly indicate the relationship between the deviation of each parameter and the first and second thresholds. Finally, anti-counterfeiting judgment is performed based on the comparison results to obtain a clear judgment result. The specific judgment rules are as follows: If all parameter deviations are less than or equal to the first preset deviation threshold, it means that the deviation between the target ingredient and the genuine product standard is within the allowable range, and the judgment result is genuine ingredient; if any parameter deviation is greater than the second preset deviation threshold, it means that the target ingredient is significantly different from the genuine product standard and does not meet the genuine product requirements, and the judgment result is counterfeit ingredient; if neither of the above two situations is met, that is, some parameter deviations exceed the first preset deviation threshold but do not exceed the second preset deviation threshold, it means that the target ingredient is somewhat suspicious, and the judgment result is questionable ingredient, which needs to be further judged.

[0091] According to an embodiment of the present invention, if the determination result is a questionable ingredient, processing is performed based on anti-counterfeiting feature parameters to obtain the anti-counterfeiting confidence level of the ingredient itself and the anti-counterfeiting confidence level of the packaging, including:

[0092] If the judgment result is that the ingredients are questionable, the product anti-counterfeiting confidence level is obtained by processing the NaCl purity parameter, mineral element ratio parameter, infrared spectral characteristic parameter, micro-salt particle ratio parameter, particle size distribution parameter and dissolution rate parameter through a preset physicochemical and performance identification model.

[0093] Based on the UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters, the packaging anti-counterfeiting confidence level is obtained by processing the data through a preset packaging anti-counterfeiting identification model.

[0094] It is particularly important to note that when the initial anti-counterfeiting assessment of the special ingredients for rock salt aerosol therapy devices indicates a questionable ingredient, a second, precise detection and analysis is required to obtain the confidence levels of both the product's anti-counterfeiting features and the packaging's anti-counterfeiting features. This provides a quantitative basis for subsequent comprehensive assessment, ensuring the accuracy of anti-counterfeiting identification and avoiding misjudgments or omissions. The confidence level of the product's anti-counterfeiting features is derived by processing relevant parameters through a pre-set physicochemical and performance identification model. The parameters used are all core indicators of intrinsic physicochemical properties, specifically including NaCl purity, mineral element ratio, infrared spectral characteristics, micro-salt particle ratio, particle size distribution, and dissolution rate. This pre-set physicochemical and performance identification model is trained based on extensive measured data from genuine products and questionable ingredients, enabling weighted analysis of various parameters to accurately capture the relationship between parameters and the product's performance. The degree of conformity with product standards is ultimately output as a confidence score of the product's anti-counterfeiting features in the range of 0-1. The closer the score is to 1, the higher the conformity between the ingredients and the genuine product, and the lower the suspicion. The packaging anti-counterfeiting confidence score is obtained by processing the corresponding parameters through a preset packaging anti-counterfeiting identification model. The parameters include UDI code texture, anti-replication QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters. The preset packaging anti-counterfeiting identification model can accurately identify the uniqueness and authenticity of packaging anti-counterfeiting features. It compares the exclusive texture of the UDI code, detects the anti-replication features of the anti-replication QR code, and verifies the fluorescence response intensity and wavelength of the anti-counterfeiting ink. Based on the comprehensive test results, the packaging anti-counterfeiting confidence score is output, also expressed in the range of 0-1. The higher the score, the stronger the authenticity of the packaging, which can further corroborate the authenticity of the ingredients.

[0095] According to an embodiment of the present invention, the step of processing based on the anti-counterfeiting confidence level of the device itself and the anti-counterfeiting confidence level of the packaging to obtain a comprehensive anti-counterfeiting coefficient, and performing a secondary anti-counterfeiting determination, includes:

[0096] Based on the confidence level of the anti-counterfeiting system itself and the confidence level of the anti-counterfeiting system of the packaging, and combined with the total score of the standard library, a weighted average is calculated to obtain the comprehensive anti-counterfeiting coefficient.

[0097] A secondary anti-counterfeiting judgment is performed based on the comprehensive anti-counterfeiting coefficient.

[0098] If the overall anti-counterfeiting coefficient is greater than or equal to the first preset anti-counterfeiting threshold, it is determined to be genuine ingredients;

[0099] If the comprehensive anti-counterfeiting coefficient is greater than or equal to the second preset anti-counterfeiting threshold and less than the first preset anti-counterfeiting threshold, it is determined to be a questionable ingredient.

[0100] If the overall anti-counterfeiting coefficient is less than the second preset anti-counterfeiting threshold, it is determined to be counterfeit ingredients.

[0101] It should be noted that, based on the obtained product anti-counterfeiting confidence levels and packaging anti-counterfeiting confidence levels, combined with the previously calculated standard library matching total score, a weighted average is applied to obtain the comprehensive anti-counterfeiting coefficient. Product anti-counterfeiting confidence level reflects the authenticity of the ingredient's quality, packaging anti-counterfeiting confidence level reflects the compliance and uniqueness of the outer packaging, and the standard library matching total score directly reflects the overall fit between the parameters and the genuine product standard. These three factors are weighted according to a preset weight allocation. Product and packaging anti-counterfeiting confidence levels emphasize the results of secondary precise testing and have a relatively high weighting. The standard library matching total score serves as a basic reference, with a reasonable weighting, ultimately outputting a quantifiable comprehensive anti-counterfeiting coefficient. This coefficient is a value in the 0-1 range, directly reflecting the degree of genuine product fit of the target ingredient. Subsequently, a secondary anti-counterfeiting judgment is performed based on the comprehensive anti-counterfeiting coefficient. The standard relies on two preset anti-counterfeiting thresholds, with the first preset threshold being greater than the second. The specific judgment rules are as follows: If the overall anti-counterfeiting coefficient is greater than or equal to the first preset threshold, it indicates that the authenticity of both the ingredients and packaging meets the genuine product standard, and the judgment result is corrected to genuine ingredients. If the overall anti-counterfeiting coefficient is greater than or equal to the second preset threshold but less than the first preset threshold, it indicates that the ingredients still have slight suspiciousness, but do not meet the counterfeit standard, and the judgment result remains as questionable ingredients, requiring further tracking and verification. If the overall anti-counterfeiting coefficient is less than the second preset threshold, it indicates that the ingredients or packaging have obvious signs of counterfeiting, and the judgment result is corrected to counterfeit ingredients. The entire secondary judgment process, through multi-indicator weighted fusion, compensates for the limitations of the initial judgment and further improves the accuracy of anti-counterfeiting identification.

[0102] Please refer to Figure 2 , Figure 2 This is a schematic diagram illustrating the architecture of the anti-counterfeiting and identification method for the special ingredients of the rock salt aerosol therapy device provided in this application embodiment. According to an embodiment of the present invention, for example, taking a certain batch of special ingredients for the rock salt aerosol therapy device as the target, the practical operation is carried out according to the anti-counterfeiting and identification process. The specific process is as follows: First, collect the anti-counterfeiting characteristic parameters of the target special ingredients, specifically as follows: Internal physicochemical anti-counterfeiting parameters: NaCl purity 97.8%, mineral element ratio (K:Mg:Ca=1:0.75:0.45), infrared spectral characteristic peak 4195cm. -1Physicochemical anti-counterfeiting parameters: 86% micro-salt particles, particle size distribution 1-5μm (73%), dissolution rate at 25℃ constant temperature 0.27g / min; Packaging appearance anti-counterfeiting parameters: UDI code texture (code prefix 69781234), anti-reproduction QR code (including exclusive dark texture mark, anti-reproduction rate 98%), anti-counterfeiting ink fluorescence response intensity 82cd / m² under 365nm ultraviolet light; The second step is to retrieve the corresponding anti-counterfeiting judgment threshold set from the preset genuine product standard library. The core thresholds are as follows: NaCl purity 98.0%-99.0%, mineral element ratio K:Mg:Ca=1:0.7-0.9:0.4-0.6, infrared spectral characteristic peak 4190-4210cm. -1 The parameters are as follows: ≥88% micro-salt particles; ≥75% particle size distribution (1-5μm); dissolution rate (0.28-0.32g / min); UDI code texture matching degree (≥99%); anti-replication rate of QR code (≥95%); fluorescence response intensity (80-90cd / m²). The collected target parameters are compared one by one with this threshold set to obtain the parameter deviation set: NaCl purity deviation -0.2%, mineral element ratio no deviation, infrared spectrum peak deviation -5cm. -1The following parameters were considered: 1) Micro-salt particle ratio deviation -2%, particle size distribution deviation -2%, dissolution rate deviation -0.01 g / min, UDI code texture matching deviation -1%, anti-counterfeiting rate deviation of anti-counterfeiting QR code +3%, and fluorescence response intensity deviation +2 cd / m². The third step involved calculating the total standard library matching score based on the parameter deviation set. Nine parameters were assigned equal weights (11.11% each). Smaller deviations resulted in higher scores, with no deviation earning a perfect score of 100. Deviations exceeding the threshold range earned 0 points. The final calculated total standard library matching score was 86 points. (Full marks 100); Step 4, obtain the preset deviation threshold set: The first preset deviation threshold (normal fluctuation range) is ±0.3% (physicochemical), ±3% (performance), ±2% (packaging); The second preset deviation threshold (counterfeit threshold) is ±0.8% (physicochemical), ±8% (performance), ±5% (packaging), and the first preset deviation threshold is less than the second preset deviation threshold; Compare the deviations in the parameter deviation set with the threshold set, and find that the deviation in the proportion of micro-salt particles (-2%) and the deviation in particle size distribution (- The deviation rate of 2% is close to the upper limit of the first preset deviation threshold, while the remaining deviations are all within the first preset deviation threshold. Based on the comprehensive comparison results, the ingredient is determined to be a questionable ingredient. The fifth step involves performing a secondary analysis on the questionable ingredient: inputting six intrinsic physicochemical and physicochemical performance parameters, such as NaCl purity and mineral element ratio, into the preset physicochemical and performance identification model. The model outputs an intrinsic anti-counterfeiting confidence level of 0.81. Inputting three packaging parameters, such as UDI code texture and anti-reproduction QR code, into the preset packaging anti-counterfeiting identification model, the model outputs a packaging anti-counterfeiting confidence level of 0.89. The sixth step… The first step involves weighted processing to obtain a comprehensive anti-counterfeiting coefficient. Weights are assigned as follows: anti-counterfeiting confidence level of the product itself (0.4), anti-counterfeiting confidence level of the packaging (0.4), and total matching score from the standard library (converted to 0.86, weight 0.2). The comprehensive anti-counterfeiting coefficient is calculated as: 0.81×0.4+0.89×0.4+0.86×0.2=0.85. A first preset anti-counterfeiting threshold of 0.83 and a second preset anti-counterfeiting threshold of 0.72 are set. Since 0.85≥0.83, a second anti-counterfeiting judgment is performed, ultimately determining that the questionable ingredient is a genuine ingredient.

[0103] Secondly, the present invention also discloses a dedicated ingredient anti-counterfeiting and identification system for a rock salt aerosol therapy device, comprising a memory and a processor. The memory includes a dedicated ingredient anti-counterfeiting and identification method program for the rock salt aerosol therapy device. When the dedicated ingredient anti-counterfeiting and identification method program for the rock salt aerosol therapy device is executed by the processor, it performs the following steps:

[0104] Collect anti-counterfeiting feature parameters of the target special ingredients;

[0105] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with a preset genuine product standard library.

[0106] Anti-counterfeiting judgment is performed based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients;

[0107] If the judgment result is that the ingredients are questionable, the ingredients are processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging.

[0108] The anti-counterfeiting confidence levels of the device itself and the packaging are processed to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed.

[0109] It is particularly important to note that the market is currently flooded with counterfeit and substandard ingredients, making it difficult to accurately identify using conventional anti-counterfeiting methods. This often leads to misjudgments and omissions, failing to effectively distinguish between genuine, questionable, and counterfeit ingredients. To address this issue, a counterfeit and identification scheme for the ingredients of rock salt aerosol therapy devices is proposed below. First, anti-counterfeiting feature parameters of the target ingredient are collected, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters. These anti-counterfeiting feature parameters are then compared with a pre-set genuine product standard database. The system obtains a parameter deviation set, calculates the total score for standard library matching based on the parameter deviation set, and performs anti-counterfeiting judgment based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients. If the judgment result is a questionable ingredient, it is processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the product and the packaging. It is then weighted and processed in combination with the total score for standard library matching to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed. This achieves the technology of anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices.

[0110] According to an embodiment of the present invention, the method of collecting anti-counterfeiting feature parameters of the target special ingredient includes:

[0111] Collect anti-counterfeiting feature parameters of the target special ingredients, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters;

[0112] The intrinsic physicochemical anti-counterfeiting parameters include NaCl purity parameters, mineral element ratio parameters, and infrared spectral characteristic parameters.

[0113] The physicochemical anti-counterfeiting parameters include the micro-salt particle ratio parameter, particle size distribution parameter, and dissolution rate parameter.

[0114] The anti-counterfeiting parameters of the packaging appearance include UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters.

[0115] It is particularly important to note that comprehensive collection of anti-counterfeiting features of the target-specific ingredients covers three major categories: internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters. Among these, internal physicochemical anti-counterfeiting parameters focus on the core material properties of the ingredients themselves, serving as the basis for distinguishing genuine from counterfeit ingredients. These mainly include NaCl purity parameters, mineral element ratio parameters, and infrared spectral feature parameters. The NaCl purity parameter directly reflects the purity of the core component of the ingredient; genuine ingredients must meet preset purity standards, while counterfeit ingredients often contain impurities due to cost considerations, resulting in substandard purity. The mineral element ratio parameter collects the unique proportions of trace mineral elements specific to genuine ingredients; this ratio is unique and a key indicator for anti-counterfeiting identification. Infrared spectral feature parameters detect the infrared absorption spectrum of the ingredients, capturing the unique spectral peaks and waveforms of genuine products, enabling rapid identification of counterfeit ingredients. Physicochemical performance anti-counterfeiting parameters emphasize the usage characteristics of the ingredients, directly related to the therapeutic effect of the treatment device, including micro-... The parameters for salt particle proportion, particle size distribution, and dissolution rate are as follows: The salt particle proportion parameter reflects the content of micro-salt particles in the ingredients that meet therapeutic requirements, ensuring effective aerosol generation; the particle size distribution parameter detects the size distribution range of micro-salt particles, which must meet the compatibility standards of the therapeutic device; the dissolution rate parameter measures the dissolution speed of the ingredients under specific conditions; genuine ingredients have a fixed dissolution rate range, while counterfeit ingredients often show significant deviations; the packaging appearance anti-counterfeiting parameters focus on the exclusive anti-counterfeiting design of the ingredient's outer packaging to prevent packaging counterfeiting, including UDI code texture, anti-replication QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters; the UDI code texture is unique, enabling full traceability of the ingredients; the anti-replication QR code has anti-replication and anti-copying characteristics, and scanning it can verify the authenticity of the ingredients; the anti-counterfeiting ink fluorescence response parameter detects the fluorescence reaction of the anti-counterfeiting ink on the packaging under specific light source illumination; the fluorescence intensity and wavelength of genuine ink have fixed standards, which can quickly distinguish counterfeit packaging.

[0116] According to an embodiment of the present invention, the step of comparing anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set includes:

[0117] Obtain the anti-counterfeiting judgment threshold set corresponding to the anti-counterfeiting feature parameters based on the preset genuine product standard library;

[0118] The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with the anti-counterfeiting judgment threshold set.

[0119] Calculate the total score for standard library matching based on the parameter deviation set.

[0120] It should be specifically noted that, firstly, an anti-counterfeiting threshold set corresponding to the anti-counterfeiting feature parameters is obtained based on a preset genuine product standard library. This preset standard library is constructed based on a large amount of measured data from genuine product-specific ingredients, encompassing standard ranges for three main categories of anti-counterfeiting feature parameters: internal physicochemical properties, physicochemical performance, and packaging appearance. The anti-counterfeiting threshold set is the critical value corresponding to each parameter extracted from this standard library, covering the upper and lower limits of each feature parameter's qualification, while clearly defining the weight percentage of each parameter. Secondly, the collected target-specific ingredient anti-counterfeiting feature parameters are compared with the anti-counterfeiting threshold set to obtain a parameter deviation set. During the comparison process, the deviation of each anti-counterfeiting feature parameter is... The measured values ​​are compared one by one with the corresponding thresholds to calculate the deviation between the measured value and the threshold standard value of each parameter. The direction of the deviation (above or below the threshold) is also marked. The deviation data of all parameters are summarized to form a parameter deviation set, which clearly shows the degree of difference between the target ingredients and the genuine product standard. Finally, the total score for standard library matching is calculated based on the parameter deviation set. Combining the weight ratio of each anti-counterfeiting feature parameter in the preset genuine product standard library, each deviation data in the parameter deviation set is weighted and calculated. The smaller the deviation, the higher the corresponding score. If the deviation exceeds the threshold range, the corresponding score is deducted. Finally, the weighted scores of all parameters are summed to obtain the total score for standard library matching.

[0121] According to an embodiment of the present invention, the step of performing anti-counterfeiting determination based on a parameter deviation set to obtain a determination result includes genuine ingredients, questionable ingredients, and counterfeit ingredients, including:

[0122] Obtain a preset deviation threshold set, including a first preset deviation threshold and a second preset deviation threshold, wherein the first preset deviation threshold is less than the second preset deviation threshold;

[0123] The comparison results are obtained by comparing the deviations of each parameter in the parameter deviation set with the preset deviation thresholds.

[0124] Based on the comparison results, an anti-counterfeiting judgment is performed to obtain the judgment result;

[0125] If all parameter deviations are less than or equal to the first preset deviation threshold, the result is determined to be genuine ingredients.

[0126] If any parameter deviation exceeds the second preset deviation threshold, the result is determined to be counterfeit ingredients;

[0127] Otherwise, the result is determined to be a questionable ingredient.

[0128] It is important to note that, firstly, a preset deviation threshold set is obtained. This threshold set is a judgment benchmark based on the parameter deviation patterns of genuine ingredients, including a first preset deviation threshold and a second preset deviation threshold, with the first preset deviation threshold explicitly specified to be less than the second preset deviation threshold. The first preset deviation threshold corresponds to the upper limit of allowable deviation for genuine ingredients; parameter deviations within this range are considered normal fluctuations. The second preset deviation threshold corresponds to the judgment threshold for counterfeit ingredients; parameter deviations exceeding this range are directly considered counterfeit. Together, these two thresholds constitute the core standard for graded judgment. Secondly, each parameter deviation in the parameter deviation set is compared one by one with the corresponding threshold in the preset deviation threshold set to obtain detailed comparison results. During the comparison process, it must be ensured that each parameter deviation corresponds to the corresponding threshold. The values ​​must be accurately matched without omissions or mismatches. The comparison results must clearly indicate the relationship between the deviation of each parameter and the first and second thresholds. Finally, anti-counterfeiting judgment is performed based on the comparison results to obtain a clear judgment result. The specific judgment rules are as follows: If all parameter deviations are less than or equal to the first preset deviation threshold, it means that the deviation between the target ingredient and the genuine product standard is within the allowable range, and the judgment result is genuine ingredient; if any parameter deviation is greater than the second preset deviation threshold, it means that the target ingredient is significantly different from the genuine product standard and does not meet the genuine product requirements, and the judgment result is counterfeit ingredient; if neither of the above two situations is met, that is, some parameter deviations exceed the first preset deviation threshold but do not exceed the second preset deviation threshold, it means that the target ingredient is somewhat suspicious, and the judgment result is questionable ingredient, which needs to be further judged.

[0129] According to an embodiment of the present invention, if the determination result is a questionable ingredient, processing is performed based on anti-counterfeiting feature parameters to obtain the anti-counterfeiting confidence level of the ingredient itself and the anti-counterfeiting confidence level of the packaging, including:

[0130] If the judgment result is that the ingredients are questionable, the product anti-counterfeiting confidence level is obtained by processing the NaCl purity parameter, mineral element ratio parameter, infrared spectral characteristic parameter, micro-salt particle ratio parameter, particle size distribution parameter and dissolution rate parameter through a preset physicochemical and performance identification model.

[0131] Based on the UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters, the packaging anti-counterfeiting confidence level is obtained by processing the data through a preset packaging anti-counterfeiting identification model.

[0132] It is particularly important to note that when the initial anti-counterfeiting assessment of the special ingredients for rock salt aerosol therapy devices indicates a questionable ingredient, a second, precise detection and analysis is required to obtain the confidence levels of both the product's anti-counterfeiting features and the packaging's anti-counterfeiting features. This provides a quantitative basis for subsequent comprehensive assessment, ensuring the accuracy of anti-counterfeiting identification and avoiding misjudgments or omissions. The confidence level of the product's anti-counterfeiting features is derived by processing relevant parameters through a pre-set physicochemical and performance identification model. The parameters used are all core indicators of intrinsic physicochemical properties, specifically including NaCl purity, mineral element ratio, infrared spectral characteristics, micro-salt particle ratio, particle size distribution, and dissolution rate. This pre-set physicochemical and performance identification model is trained based on extensive measured data from genuine products and questionable ingredients, enabling weighted analysis of various parameters to accurately capture the relationship between parameters and the product's performance. The degree of conformity with product standards is ultimately output as a confidence score of the product's anti-counterfeiting features in the range of 0-1. The closer the score is to 1, the higher the conformity between the ingredients and the genuine product, and the lower the suspicion. The packaging anti-counterfeiting confidence score is obtained by processing the corresponding parameters through a preset packaging anti-counterfeiting identification model. The parameters include UDI code texture, anti-replication QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters. The preset packaging anti-counterfeiting identification model can accurately identify the uniqueness and authenticity of packaging anti-counterfeiting features. It compares the exclusive texture of the UDI code, detects the anti-replication features of the anti-replication QR code, and verifies the fluorescence response intensity and wavelength of the anti-counterfeiting ink. Based on the comprehensive test results, the packaging anti-counterfeiting confidence score is output, also expressed in the range of 0-1. The higher the score, the stronger the authenticity of the packaging, which can further corroborate the authenticity of the ingredients.

[0133] According to an embodiment of the present invention, the step of processing based on the anti-counterfeiting confidence level of the device itself and the anti-counterfeiting confidence level of the packaging to obtain a comprehensive anti-counterfeiting coefficient, and performing a secondary anti-counterfeiting determination, includes:

[0134] Based on the confidence level of the anti-counterfeiting system itself and the confidence level of the anti-counterfeiting system of the packaging, and combined with the total score of the standard library, a weighted average is calculated to obtain the comprehensive anti-counterfeiting coefficient.

[0135] A secondary anti-counterfeiting judgment is performed based on the comprehensive anti-counterfeiting coefficient.

[0136] If the overall anti-counterfeiting coefficient is greater than or equal to the first preset anti-counterfeiting threshold, it is determined to be genuine ingredients;

[0137] If the comprehensive anti-counterfeiting coefficient is greater than or equal to the second preset anti-counterfeiting threshold and less than the first preset anti-counterfeiting threshold, it is determined to be a questionable ingredient.

[0138] If the overall anti-counterfeiting coefficient is less than the second preset anti-counterfeiting threshold, it is determined to be counterfeit ingredients.

[0139] It should be noted that, based on the obtained product anti-counterfeiting confidence levels and packaging anti-counterfeiting confidence levels, combined with the previously calculated standard library matching total score, a weighted average is applied to obtain the comprehensive anti-counterfeiting coefficient. Product anti-counterfeiting confidence level reflects the authenticity of the ingredient's quality, packaging anti-counterfeiting confidence level reflects the compliance and uniqueness of the outer packaging, and the standard library matching total score directly reflects the overall fit between the parameters and the genuine product standard. These three factors are weighted according to a preset weight allocation. Product and packaging anti-counterfeiting confidence levels emphasize the results of secondary precise testing and have a relatively high weighting. The standard library matching total score serves as a basic reference, with a reasonable weighting, ultimately outputting a quantifiable comprehensive anti-counterfeiting coefficient. This coefficient is a value in the 0-1 range, directly reflecting the degree of genuine product fit of the target ingredient. Subsequently, a secondary anti-counterfeiting judgment is performed based on the comprehensive anti-counterfeiting coefficient. The standard relies on two preset anti-counterfeiting thresholds, with the first preset threshold being greater than the second. The specific judgment rules are as follows: If the overall anti-counterfeiting coefficient is greater than or equal to the first preset threshold, it indicates that the authenticity of both the ingredients and packaging meets the genuine product standard, and the judgment result is corrected to genuine ingredients. If the overall anti-counterfeiting coefficient is greater than or equal to the second preset threshold but less than the first preset threshold, it indicates that the ingredients still have slight suspiciousness, but do not meet the counterfeit standard, and the judgment result remains as questionable ingredients, requiring further tracking and verification. If the overall anti-counterfeiting coefficient is less than the second preset threshold, it indicates that the ingredients or packaging have obvious signs of counterfeiting, and the judgment result is corrected to counterfeit ingredients. The entire secondary judgment process, through multi-indicator weighted fusion, compensates for the limitations of the initial judgment and further improves the accuracy of anti-counterfeiting identification.

[0140] The present invention discloses a method and system for anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices. This method collects anti-counterfeiting feature parameters of the target special ingredients, compares these parameters with a preset genuine product standard library to obtain a parameter deviation set, performs anti-counterfeiting judgment based on the parameter deviation set, and obtains a judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients. If the judgment result is a questionable ingredient, the anti-counterfeiting feature parameters are processed to obtain the anti-counterfeiting confidence level of the product itself and the anti-counterfeiting confidence level of the packaging. The product anti-counterfeiting confidence level and the packaging anti-counterfeiting confidence level are then processed to obtain a comprehensive anti-counterfeiting coefficient, and a secondary anti-counterfeiting judgment is performed, thereby realizing the technology for anti-counterfeiting and identification of special ingredients for rock salt aerosol therapy devices.

[0141] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0142] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0143] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0144] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0145] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for anti-counterfeiting and identification of special ingredients for a rock salt aerosol therapy device, characterized in that, Includes the following steps: Collect anti-counterfeiting feature parameters of the target special ingredients; The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with a preset genuine product standard library. Anti-counterfeiting judgment is performed based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients; If the judgment result is that the ingredients are questionable, the ingredients are processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging. The anti-counterfeiting confidence levels of the device itself and the packaging are processed to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed.

2. The method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device according to claim 1, characterized in that, The anti-counterfeiting feature parameters of the target special ingredients collected include: Collect anti-counterfeiting feature parameters of the target special ingredients, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters; The intrinsic physicochemical anti-counterfeiting parameters include NaCl purity parameters, mineral element ratio parameters, and infrared spectral characteristic parameters. The physicochemical anti-counterfeiting parameters include the micro-salt particle ratio parameter, particle size distribution parameter, and dissolution rate parameter. The anti-counterfeiting parameters of the packaging appearance include UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters.

3. The method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device according to claim 2, characterized in that, The step of comparing anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set includes: Obtain the anti-counterfeiting judgment threshold set corresponding to the anti-counterfeiting feature parameters based on the preset genuine product standard library; The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with the anti-counterfeiting judgment threshold set. Calculate the total score for standard library matching based on the parameter deviation set.

4. The method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device according to claim 3, characterized in that, The step of performing anti-counterfeiting judgment based on the parameter deviation set to obtain the judgment result includes genuine ingredients, questionable ingredients, and counterfeit ingredients, including: Obtain a preset deviation threshold set, including a first preset deviation threshold and a second preset deviation threshold, wherein the first preset deviation threshold is less than the second preset deviation threshold; The comparison results are obtained by comparing the deviations of each parameter in the parameter deviation set with the preset deviation thresholds. Based on the comparison results, an anti-counterfeiting judgment is performed to obtain the judgment result; If all parameter deviations are less than or equal to the first preset deviation threshold, the result is determined to be genuine ingredients. If any parameter deviation exceeds the second preset deviation threshold, the result is determined to be counterfeit ingredients; Otherwise, the result is determined to be a questionable ingredient.

5. The method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device according to claim 4, characterized in that, If the determination result is that the ingredient is questionable, it is processed according to the anti-counterfeiting feature parameters to obtain the anti-counterfeiting confidence level of the ingredient itself and the anti-counterfeiting confidence level of the packaging, including: If the judgment result is that the ingredients are questionable, the product anti-counterfeiting confidence level is obtained by processing the NaCl purity parameter, mineral element ratio parameter, infrared spectral characteristic parameter, micro-salt particle ratio parameter, particle size distribution parameter and dissolution rate parameter through a preset physicochemical and performance identification model. Based on the UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters, the packaging anti-counterfeiting confidence level is obtained by processing the data through a preset packaging anti-counterfeiting identification model.

6. The method for anti-counterfeiting and identification of special ingredients for the rock salt aerosol therapy device according to claim 5, characterized in that, The process involves processing the anti-counterfeiting confidence levels of the device itself and the packaging to obtain a comprehensive anti-counterfeiting coefficient, and then performing a secondary anti-counterfeiting determination, including: Based on the confidence level of the anti-counterfeiting system itself and the confidence level of the anti-counterfeiting system of the packaging, and combined with the total score of the standard library, a weighted average is calculated to obtain the comprehensive anti-counterfeiting coefficient. A secondary anti-counterfeiting judgment is performed based on the comprehensive anti-counterfeiting coefficient. If the overall anti-counterfeiting coefficient is greater than or equal to the first preset anti-counterfeiting threshold, it is determined to be genuine ingredients; If the comprehensive anti-counterfeiting coefficient is greater than or equal to the second preset anti-counterfeiting threshold and less than the first preset anti-counterfeiting threshold, it is determined to be a questionable ingredient. If the overall anti-counterfeiting coefficient is less than the second preset anti-counterfeiting threshold, it is determined to be counterfeit ingredients.

7. A special anti-counterfeiting and identification system for the ingredients of a rock salt aerosol therapy device, characterized in that, The system includes a memory and a processor. The memory contains a program for a special ingredient anti-counterfeiting and identification method for rock salt aerosol therapy devices. When the processor executes the program for the special ingredient anti-counterfeiting and identification method for rock salt aerosol therapy devices, it performs the following steps: Collect anti-counterfeiting feature parameters of the target special ingredients; The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with a preset genuine product standard library. Anti-counterfeiting judgment is performed based on the parameter deviation set to obtain the judgment result, including genuine ingredients, questionable ingredients, and counterfeit ingredients; If the judgment result is that the ingredients are questionable, the ingredients are processed according to the anti-counterfeiting feature parameters to obtain the confidence level of the anti-counterfeiting of the main body and the anti-counterfeiting of the packaging. The anti-counterfeiting confidence levels of the device itself and the packaging are processed to obtain a comprehensive anti-counterfeiting coefficient, and a second anti-counterfeiting judgment is performed.

8. The special ingredient anti-counterfeiting and identification system for the rock salt aerosol therapy device according to claim 7, characterized in that, The anti-counterfeiting feature parameters of the target special ingredients collected include: Collect anti-counterfeiting feature parameters of the target special ingredients, including internal physicochemical anti-counterfeiting parameters, physicochemical performance anti-counterfeiting parameters, and packaging appearance anti-counterfeiting parameters; The intrinsic physicochemical anti-counterfeiting parameters include NaCl purity parameters, mineral element ratio parameters, and infrared spectral characteristic parameters. The physicochemical anti-counterfeiting parameters include the micro-salt particle ratio parameter, particle size distribution parameter, and dissolution rate parameter. The anti-counterfeiting parameters of the packaging appearance include UDI code texture, anti-reproduction QR code feature parameters, and anti-counterfeiting ink fluorescence response parameters.

9. The special ingredient anti-counterfeiting and identification system for the rock salt aerosol therapy device according to claim 8, characterized in that, The step of comparing anti-counterfeiting feature parameters with a preset genuine product standard library to obtain a parameter deviation set includes: Obtain the anti-counterfeiting judgment threshold set corresponding to the anti-counterfeiting feature parameters based on the preset genuine product standard library; The parameter deviation set is obtained by comparing the anti-counterfeiting feature parameters with the anti-counterfeiting judgment threshold set. Calculate the total score for standard library matching based on the parameter deviation set.

10. The special ingredient anti-counterfeiting and identification system for the rock salt aerosol therapy device according to claim 9, characterized in that, The step of performing anti-counterfeiting judgment based on the parameter deviation set to obtain the judgment result includes genuine ingredients, questionable ingredients, and counterfeit ingredients, including: Obtain a preset deviation threshold set, including a first preset deviation threshold and a second preset deviation threshold, wherein the first preset deviation threshold is less than the second preset deviation threshold; The comparison results are obtained by comparing the deviations of each parameter in the parameter deviation set with the preset deviation thresholds. Based on the comparison results, an anti-counterfeiting judgment is performed to obtain the judgment result; If all parameter deviations are less than or equal to the first preset deviation threshold, the result is determined to be genuine ingredients. If any parameter deviation exceeds the second preset deviation threshold, the result is determined to be counterfeit ingredients; Otherwise, the result is determined to be a questionable ingredient.

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