Traceability tracking method and system of cosmetic electronic two-dimensional code

Abstract

The invention discloses a traceability tracking method and system for cosmetic electronic two-dimensional codes, and relates to the technical field of cosmetic traceability tracking. According to the traceability tracking method of the cosmetic electronic two-dimensional code, after a production link is finished, data such as production original ingredient quality, component stability and production environment are stored in the two-dimensional code, scanning traceability analysis is carried out in the next link, production quality related indexes are calculated, whether the product is qualified or not is comprehensively judged, qualified products continue to be produced, and unqualified products are screened and processed. According to the invention, after each production link is finished, the production data including the original ingredient quality, the component stability, the production environment and other information are dynamically stored, a complete link recording chain is formed, the data are updated in real time through the electronic two-dimensional code, the synchronization of the traceability information and the actual production is ensured, the real-time performance and the traceability efficiency of the data are improved, and the production efficiency is improved. According to the link-by-link tracking mechanism, the transparency of the cosmetic production process is remarkably improved, so that the specific production link can be quickly positioned when the quality problem occurs.

Description

Technical Field

[0001] The present invention relates to the technical field of cosmetics traceability and tracking, and in particular to a cosmetics electronic two-dimensional code traceability and tracking method and system. Background Art

[0002] As special consumer products that directly act on the human body, the production quality and safety of cosmetics have attracted much attention from consumers and the industry. The production of cosmetics involves multiple links, including raw material procurement, ingredient processing, ingredient reaction, environmental control, and finished product packaging, and each link plays a vital role in the quality of the final product. However, since the production process of cosmetics is relatively complicated and its production process is easily affected by many factors (such as raw material quality, ingredient stability, production environment, etc.), once a problem occurs in a certain link in the production, it is easy to cause the quality of the finished product to be unqualified or even cause safety hazards. Therefore, how to effectively trace the production process of cosmetics and quickly locate and solve problems has become a key problem that cosmetics manufacturers need to solve urgently.

[0003] Prior art, such as the invention patent application with announcement number: CN105976186A, discloses a cosmetics traceability method based on a QR code, the steps of which are: generating and storing an initial QR code; sending the initial QR code to a cosmetics outer packaging printing device; the printing device prints it on the cosmetics outer packaging; parsing and redefining the initial QR code to generate a custom QR code containing cosmetics traceability information; binding the custom QR code with the traceability information to form an associative array and uploading it to a cloud server, wherein the traceability information includes the raw material ingredients, shelf life, quality inspection certificate, origin and production and packaging process, logistics and transportation information of the cosmetics, etc. The present invention assigns a QR code to cosmetics, and the manufacturer redefines the QR code to embed the traceability information of each link of production, inspection and circulation. Consumers can scan the code to view it, so they can buy it with confidence, reduce the survival space of counterfeit and shoddy products, and at the same time, enterprises can prove the quality of their products, increase sales and accumulate customers, which not only protects the rights and interests of consumers but also helps enterprises avoid the collateral losses of counterfeit and shoddy products.

[0004] Based on the above scheme, it is found that the limitations of the existing technology include at least the following problems. First, the traceability method of the existing technology only focuses on the binding of production information in the initial stage, which is limited to the recording and display of static data, and lacks real-time updating and multi-link recording of dynamic data in the production link, which easily leads to lag in traceability information, making it difficult to timely reflect quality problems in each production link. This lag makes it difficult to achieve dynamic monitoring and management of production quality. Secondly, the scope of traceability data in the existing technology is single, covering only basic information such as product ingredient information, batch number, production date, etc., but does not involve comprehensive monitoring and analysis of key parameters in the production process. This singleness of data easily leads to the potential risks of quality problems not being discovered in time, thereby affecting the final quality of the product. In addition, the existing technology lacks a multi-dimensional evaluation system for production quality, only provides storage and display of static information, and does not combine core indicators such as production raw material quality, ingredient stability and production environment for comprehensive quality evaluation, making it difficult to fully reflect the impact of each production link on product quality. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a traceability tracking method and system for electronic QR codes of cosmetics, which solves the problems of data lag, data uniqueness, insufficient quality assessment and lack of processing mechanism in the prior art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a traceability tracking method for electronic QR codes of cosmetics, comprising the following steps: for a number of cosmetic products to be analyzed, after each production link is completed, the production data of the corresponding production link is stored in the electronic QR code of the cosmetic product to be analyzed, and the production data includes production raw ingredient quality data, production component stability data, and production environment data; and in the next production link, the electronic QR code of each cosmetic product to be analyzed is scanned and traced to obtain the production data of the previous production link of each cosmetic product to be analyzed, and a comprehensive analysis is performed to obtain the production raw ingredient quality index and production component stability index of the previous production link of each cosmetic product to be analyzed. , production environment index; conduct comprehensive analysis on the production raw material quality index, production ingredient stability index and production environment index of the previous production link of each cosmetic product to be analyzed, and obtain the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed; determine whether the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is respectively within the preset comprehensive production quality range; mark the cosmetic products to be analyzed whose comprehensive production quality index of the previous production link is within the preset comprehensive production quality range as qualified, and continue production processing; mark the cosmetic products to be analyzed whose comprehensive production quality index of the previous production link is outside the preset comprehensive production quality range as unqualified, and perform screening processing.

[0007] Furthermore, the quality data of raw materials for production include raw material concentration values ​​at several measuring positions of each raw material for production, ingredient temperature values ​​at several time points of each production ingredient in the production process, and actual raw ingredient mixing time values ​​in the production process; the stability data of production components include the concentration change of each chemical reactant in the production process, the reaction time value, the reaction activation energy value, the reaction temperature value, the absorbance value at the beginning of the reaction, and the absorbance value at the end of the reaction; the production environment data include the ambient temperature values, ambient humidity values, ambient pressure values, and volatile agent rate values ​​at several time points in the production process.

[0008] Furthermore, the specific formula for calculating the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is as follows: ;in, To be analyzed The comprehensive production quality index of the previous production link of a cosmetic product, To be analyzed The quality index of the raw materials in the previous production link of a cosmetic product, is the quality coefficient of the original ingredients stored in the database, To be analyzed The stability index of production ingredients in the previous production link of a cosmetic product, is the component stability coefficient stored in the database, To be analyzed The production environment index of the previous production link of a cosmetic product, is the environmental coefficient stored in the database, , is the circumference of a circle, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed.

[0009] Furthermore, the specific steps for obtaining the quality index of the raw material ingredients of the previous production link of each cosmetic product to be analyzed are as follows: obtaining the raw material concentration parameter value of each production raw material of the previous production link of each cosmetic product to be analyzed, and performing a comprehensive analysis based on the raw material concentration value of each measurement position point of each production raw material to obtain the raw material concentration uniformity index of the previous production link of each cosmetic product to be analyzed; obtaining the ingredient temperature parameter value of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed, and performing a comparative analysis on the ingredient temperature values ​​of each production ingredient at several time points in the production process of the previous production link of each cosmetic product to be analyzed to obtain the maximum ingredient temperature and the minimum ingredient temperature of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed; The ingredient temperature parameter value, the maximum ingredient temperature value, and the minimum ingredient temperature value of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed are comprehensively analyzed to obtain the ingredient temperature fluctuation index of the previous production link of each cosmetic product to be analyzed; the actual raw ingredient mixing time parameter value in the generation process of the previous production link of each cosmetic product to be analyzed is obtained, and combined with the actual raw ingredient mixing time value in the generation process of the previous production link of each cosmetic product to be analyzed, a comprehensive analysis is performed to obtain the mixing time efficiency index of the previous production link of each cosmetic product to be analyzed; the raw material concentration uniformity index, the ingredient temperature fluctuation index, and the mixing time efficiency index of the previous production link of each cosmetic product to be analyzed are comprehensively analyzed to obtain the production raw ingredient quality index of the previous production link of each cosmetic product to be analyzed.

[0010] Furthermore, the specific formulas for calculating the raw material concentration uniformity index, ingredient temperature fluctuation index, mixing time efficiency index, and production raw ingredient quality index of the previous production link of each cosmetic product to be analyzed are as follows: ;in, To be analyzed The uniformity index of raw material concentration in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The first production material The raw material concentration value at each measuring point, To be analyzed The first stage of the production of cosmetic products The raw material concentration parameter value of the production raw material, The first The first stage of the production of cosmetic products The weighting coefficient of the production raw materials, To be analyzed The temperature fluctuation index of ingredients in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The maximum temperature of the batching material of the production batching, To be analyzed The first stage of the production of cosmetic products The minimum temperature of the batching material for the production of the batching material. To be analyzed The first stage of the production of cosmetic products The batching temperature parameter value of the production batching, To be analyzed The first stage of the production of cosmetic products The weighting coefficient of the production ingredients, To be analyzed The mixed time efficiency index of the previous production link of a cosmetic product, To be analyzed The actual raw material mixing time parameter value of the previous production link of a cosmetic product, To be analyzed The actual mixing time of the raw ingredients in the previous production process of a cosmetic product, To be analyzed The quality index of the raw materials in the previous production link of a cosmetic product, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of raw materials produced, =1, 2, 3, ..., , is the number of measurement position points, =1, 2, 3, ..., , The number of production ingredients.

[0011] Furthermore, the specific steps for obtaining the production component stability index of the previous production link of each cosmetic product to be analyzed are as follows: comprehensively analyzing the concentration change, reaction time value, reaction activation energy value, and reaction temperature value of each chemical reactant in the previous production link of each cosmetic product to be analyzed to obtain the reaction rate stability index of the previous production link of each cosmetic product to be analyzed; comprehensively analyzing the absorbance value at the beginning of the reaction and the absorbance value at the end of the reaction of each chemical reactant in the previous production link of each cosmetic product to be analyzed to obtain the component degradation index of the previous production link of each cosmetic product to be analyzed; comprehensively analyzing the reaction temperature value of each chemical reactant in the previous production link of each cosmetic product to be analyzed to obtain the reaction temperature stability index of the previous production link of each cosmetic product to be analyzed; comprehensively analyzing the reaction rate stability index, component degradation index, and reaction temperature stability index of the previous production link of each cosmetic product to be analyzed to obtain the production component stability index of the previous production link of each cosmetic product to be analyzed.

[0012] Furthermore, the specific formulas for calculating the reaction rate stability index, component degradation index, reaction temperature stability index, and production component stability index of the previous production link of each cosmetic product to be analyzed are as follows: ;in, To be analyzed The reaction rate stability index of the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The concentration change of a chemical reactant, To be analyzed The first stage of the production of cosmetic products The reaction time value of the chemical reactants, To be analyzed The first stage of the production of cosmetic products The activation energy of the reaction of chemical reactants, is the gas constant stored in the database, To be analyzed The first stage of the production of cosmetic products The reaction temperature of the chemical reactants, To be analyzed The first stage of the production of cosmetic products The reaction weight coefficients of the chemical reactants are To be analyzed The degradation index of ingredients in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The absorbance value of a chemical reactant at the beginning of the reaction, To be analyzed The first stage of the production of cosmetic products The absorbance value of the chemical reactants at the end of the reaction, To be analyzed The first stage of the production of cosmetic products The degradation weighting coefficient of the chemical reactants, To be analyzed The reaction temperature stability index of the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The temperature weighting coefficient of the chemical reactants is To be analyzed The stability index of production ingredients in the previous production link of a cosmetic product, is the reaction coefficient stored in the database, is the degradation coefficient stored in the database, is the temperature coefficient stored in the database, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of chemical reaction species.

[0013] Furthermore, the specific steps for obtaining the production environment index of the previous production link of each cosmetic product to be analyzed are as follows: respectively obtain the ambient temperature parameter value, ambient humidity parameter value, ambient pressure parameter value, and volatile agent rate parameter value in the production process of the previous production link of each cosmetic product to be analyzed, and respectively combine the ambient temperature value, ambient humidity value, ambient pressure value, and volatile agent rate value at each time point in the production process of the previous production link of each cosmetic product to be analyzed for comprehensive analysis to obtain the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, and volatile agent rate fluctuation index of the previous production link of each cosmetic product to be analyzed; comprehensively analyze the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, and volatile agent rate fluctuation index of the previous production link of each cosmetic product to be analyzed to obtain the production environment index of the previous production link of each cosmetic product to be analyzed.

[0014] Furthermore, the specific formulas for calculating the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, volatile agent rate fluctuation index, and production environment index of the previous production link of each cosmetic product to be analyzed are as follows: ;in, To be analyzed The ambient temperature fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The ambient temperature value at a time point, To be analyzed The ambient temperature parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The environmental humidity fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The ambient humidity value at a time point, To be analyzed The ambient humidity parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The environmental pressure fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The environmental pressure value at a time point, To be analyzed The environmental pressure parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The volatility index of the volatility of the last production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The volatile agent rate value at each time point is To be analyzed The parameter value of the volatile agent rate in the production process of the previous production link of a cosmetic product, To be analyzed The production environment index of the previous production link of a cosmetic product, To be analyzed The temperature influence coefficient of the previous production link of a cosmetic product, To be analyzed The humidity influence coefficient of the previous production link of a cosmetic product, To be analyzed The pressure influence coefficient of the previous production link of a cosmetic product, To be analyzed The volatility influence coefficient of the previous production link of a cosmetic product, , is a natural constant, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of time points.

[0015] The traceability tracking system of the electronic two-dimensional code of cosmetics includes: a data storage module, a traceability processing module, an index analysis module, a comprehensive analysis module, and a judgment analysis module; the data storage module is used for storing the production data of the corresponding production link in the electronic two-dimensional code of the cosmetics to be analyzed after each production link is completed for a number of cosmetics to be analyzed, and the production data includes the quality data of the original ingredients, the stability data of the production ingredients, and the production environment data; the traceability processing module is used for scanning and tracing the electronic two-dimensional code of each cosmetics to be analyzed in the next production link, and obtaining the production data of the previous production link of each cosmetics to be analyzed; the index analysis module is used for performing comprehensive analysis on the production data of the previous production link of each cosmetics to be analyzed, and obtaining the production data of the previous production link of each cosmetics to be analyzed. The comprehensive analysis module is used to comprehensively analyze the quality index of raw ingredients, the stability index of production ingredients, and the production environment index of the previous production link of each cosmetic product to be analyzed, so as to obtain the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed; the judgment and analysis module is used to judge whether the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is respectively within the preset comprehensive production quality range; the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is within the preset comprehensive production quality range is marked as qualified, and the production process is continued; the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is outside the preset comprehensive production quality range is marked as unqualified, and screening is carried out.

[0016] The present invention has the following beneficial effects:

[0017] (1) The traceability tracking method of the cosmetics electronic QR code dynamically stores production data after each production link, including information such as the quality of raw ingredients, ingredient stability and production environment, to form a complete link record chain. The data is updated in real time through the electronic QR code to ensure that the traceability information is synchronized with the actual production, thereby improving the real-time nature and traceability efficiency of the data. This link-by-link tracking mechanism significantly improves the transparency of the cosmetics production process, so that when quality problems occur, the specific production link can be quickly located, thereby avoiding the spread and accumulation of problems.

[0018] (2) The traceability tracking method of the electronic QR code of cosmetics introduces multi-dimensional analysis indicators such as the quality index of raw materials, the stability index of production ingredients, and the production environment index, and establishes a scientific and comprehensive production quality evaluation system. The key parameters in each production link, such as raw material concentration, reaction rate, and ambient temperature and humidity, are systematically collected and analyzed, and the production quality of the product is finally quantified in the form of a comprehensive quality index. This multi-dimensional analysis method can comprehensively measure the complexity of the production process and discover quality problems that are difficult to capture with a single data, thereby improving the accuracy and reliability of production quality control and ensuring the qualification of the final product.

[0019] (3) The traceability tracking method of the cosmetics electronic QR code can accurately screen out unqualified products by comparing the comprehensive production quality index with the preset standard range, and store their abnormal data for subsequent analysis and improvement. This mechanism not only improves the quality management process, but also dynamically determines the source of quality problems in each production link, reducing the risk of unqualified products flowing into the next link. At the same time, the stored unqualified data provides data support for problem tracing and subsequent optimization, thereby reducing production costs while improving overall production efficiency, and providing cosmetics manufacturers with powerful quality traceability and dynamic control capabilities.

[0020] (4) The cosmetics electronic QR code traceability system adopts a modular design. Each module is responsible for production data storage, cross-link traceability, quality index calculation and quality judgment processing. The functional responsibilities are clear, and the modules can achieve seamless collaboration through data transmission. This modular architecture not only facilitates the installation and maintenance of the system, but also provides flexibility for future system upgrades and functional expansion. For example, new data analysis modules can be added or quality judgment logic can be adjusted according to the production needs of the enterprise. In addition, the modular design also facilitates the transplantation of the system to different production lines or other fields, achieving wide applicability, which helps cosmetics manufacturers reduce technology implementation costs and improve the level of intelligent production management.

[0021] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The present invention is a flow chart of the traceability tracking method of the electronic two-dimensional code of cosmetics.

[0023] Figure 2 The figure is a block diagram of the traceability tracking system of the cosmetics electronic QR code of the present invention. DETAILED DESCRIPTION

[0024] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0025] After each production link is completed, the production data of cosmetics (including quality data of raw ingredients, stability data of production ingredients, and production environment data) is recorded and stored in the electronic QR code of the cosmetics to form a complete production process tracking record. When entering the next production link, the production data of the previous production link is obtained by scanning the electronic QR code, and a comprehensive analysis is performed to obtain the raw ingredient quality index, ingredient stability index and production environment index, and the comprehensive production quality index of the previous production link is calculated. The production quality index is compared with the preset standard range to determine whether the product is of qualified quality. Products whose comprehensive production quality index is within the standard range are marked as qualified and enter the next production link; for unqualified products, specific abnormal data are screened out and stored to facilitate traceability, improvement and quality control of subsequent production links.

[0026] See also Figure 1The embodiment of the present invention provides a technical solution: a traceability tracking method for electronic two-dimensional codes of cosmetics, comprising the following steps: for a number of cosmetic products to be analyzed, after each production link is completed, the production data of the corresponding production link is stored in the electronic two-dimensional code of the cosmetic product to be analyzed, and the production data includes the quality data of the original production ingredients, the stability data of the production ingredients, and the production environment data; and in the next production link, the electronic two-dimensional code of each cosmetic product to be analyzed is scanned and traced to obtain the production data of the previous production link of each cosmetic product to be analyzed, and a comprehensive analysis is performed to obtain the previous production link of each cosmetic product to be analyzed. The raw material quality index, production component stability index, and production environment index of the previous production link of each cosmetic product to be analyzed are analyzed comprehensively, respectively, to obtain the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed; it is determined whether the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is respectively within the preset comprehensive production quality range; the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is within the preset comprehensive production quality range is marked as qualified, and the production process is continued; the previous production link is marked as qualified. The cosmetic products to be analyzed whose comprehensive production quality index is outside the preset comprehensive production quality range are marked as unqualified and screened, that is, specifically: identifying abnormal indexes and classifying them into corresponding unqualified quality areas. Unqualified areas include abnormal areas of production raw ingredient quality, abnormal areas of production component stability, abnormal areas of production environment, abnormal areas of production raw ingredient quality and production component stability, abnormal areas of production raw ingredient quality and production environment, abnormal areas of production component stability and production environment, and abnormal areas of production raw ingredient quality, production component stability and production environment. When users use qualified cosmetic products, they can scan the cosmetic products to identify the abnormalities. After scanning the electronic QR code on the product page, the user will be redirected to the cosmetic product status interface, which includes a production data link and a feedback information evaluation link. After the user clicks the production data link, the user will enter the production traceability page of the cosmetic product. On this page, the user can view the production data of each production link of the product, including the quality data of the raw ingredients, the stability data of the production ingredients, and the production environment data. After the user clicks the feedback information evaluation link, the user will enter the cosmetic product usage feedback information page. On this page, the user can evaluate the specific usage feedback of the cosmetic product, and the evaluation description can be viewed by every user who uses the cosmetic product.

[0027] The quality data of raw materials include the raw material concentration values ​​at several measuring points of each raw material, the material temperature values ​​at several time points of each raw material in the production process, and the actual raw material mixing time value in the production process.

[0028] The production component stability data includes the concentration change of each chemical reactant in the production process, the reaction time value, the reaction activation energy value, the reaction temperature value (this value is the average temperature of the reaction process), the absorbance value at the beginning of the reaction, and the absorbance value at the end of the reaction.

[0029] The production environment data includes the ambient temperature, ambient humidity, ambient pressure, and volatile agent rate values ​​at several time points during the production process.

[0030] The raw material concentration value can be measured by an ultraviolet visible spectrophotometer (UV-VIS), which is used to evaluate the concentration uniformity of the raw materials and ensure that the uniform distribution of the raw materials minimizes the impact on production quality.

[0031] The temperature value of the ingredients can be measured and obtained through real-time temperature sensors (thermocouples, thermal resistors). The temperature of the ingredients has a direct impact on the mixing effect and emulsification stability of cosmetics: too high a temperature can easily lead to the degradation or volatilization of certain active ingredients, while too low a temperature can easily lead to incomplete emulsification or insufficient dissolution of ingredients. It is used to evaluate the impact of temperature fluctuations on the uniformity of ingredients.

[0032] The actual raw ingredient mixing time value can be obtained directly from the running time record of the agitator or mixer. The mixing time affects the uniformity of the raw ingredients and the production efficiency: insufficient mixing can easily lead to uneven ingredients, and excessive mixing can easily cause emulsifier decomposition or increase energy consumption. It is used to evaluate the efficiency and stability of the batching process.

[0033] The concentration change of chemical reactants can be measured by high performance liquid chromatography (HPLC), mass spectrometer (MS), and online sensors (such as spectral sensors). It is used to evaluate the stability and efficiency of the chemical reaction process. The concentration change directly reflects the degree of completion of the reaction: low concentration changes indicate insufficient reaction or unstable process, and high concentration changes indicate that the reaction is well completed and the quality consistency is high.

[0034] The reaction time value of chemical reactants can be directly obtained through the production equipment control system, which is used to evaluate the process optimization and time efficiency of chemical reactions. The reaction time determines the sufficiency and efficiency of the reaction: if the time is too short, it may not be completed, affecting product quality; if the time is too long, it may cause side reactions or increase energy consumption.

[0035] The reaction activation energy value of chemical reactants can be calculated by using experimental data and the Arrhenius formula to calculate the activation energy of the reaction. The reaction activation energy reflects the difficulty of the reaction: too high an activation energy indicates that the reaction process requires a higher temperature or a catalyst, and too low an activation energy indicates that the reaction is easy to proceed but is prone to side reactions. It is used to evaluate whether a chemical reaction is suitable for current production conditions.

[0036] The average reaction temperature of chemical reactants can be measured and obtained through temperature sensors (thermocouples, thermal resistors). The average reaction temperature is an important parameter for process control: too high or too low temperature can easily affect the reaction rate and component stability. It is used to evaluate the thermal control during the chemical reaction process.

[0037] The absorbance values ​​of chemical reactants at the beginning and end of the reaction can be measured by an ultraviolet-visible spectrophotometer (UV-VIS). The absorbance value reflects the degree of completion of the reaction and the concentration of the product: a large change in absorbance indicates a relatively complete reaction, and a small change in absorbance indicates an incomplete reaction or insufficient concentration of the product. It is used to evaluate the efficiency of the reaction and the quality of the product.

[0038] The ambient temperature value can be measured and obtained through an ambient temperature sensor (thermocouple, thermal resistor). The ambient temperature has a direct impact on certain sensitive processes: such as emulsification, spray drying, etc. Too high or too low ambient temperature can easily affect stability. It is used to evaluate the potential impact of the environment on the production process and product stability.

[0039] The ambient humidity value can be measured and obtained by a humidity sensor. The ambient humidity affects the moisture absorption of powder products and the stability of emulsified products. It is used to evaluate whether the production environment meets the process requirements.

[0040] The ambient pressure value can be measured and obtained by a pressure sensor. The ambient pressure is crucial to processes such as vacuum emulsification and spray drying. It is used to evaluate the impact of external pressure on process stability.

[0041] The volatilization rate value can be measured and obtained by an online gas sensor. The volatilization rate affects the fragrance retention and solvent concentration control of the product. It is used to evaluate the production effect of solvent-based cosmetics (such as perfume and spray).

[0042] Specifically, the specific formula for calculating the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is as follows: ;in, To be analyzed The comprehensive production quality index of the previous production link of a cosmetic product, To be analyzed The quality index of the raw materials in the previous production link of a cosmetic product, is the quality coefficient of the original ingredients stored in the database, To be analyzed The stability index of production ingredients in the previous production link of a cosmetic product, is the component stability coefficient stored in the database, To be analyzed The production environment index of the previous production link of a cosmetic product, is the environmental coefficient stored in the database, , is the value of pi, which is 3.14 in this embodiment. =1, 2, 3, ..., , is the number of cosmetic products to be analyzed.

[0043] It needs to be explained that , , Specifically, each weight coefficient can be determined by fitting the correlation between raw material quality, component stability, production environment stability and finished product quality through the use of machine learning or statistical methods.

[0044] In this implementation scheme, the correlation between raw material quality, component stability and production environment stability and finished product quality is fitted through machine learning or statistical methods, and accurate analysis can be performed based on big data in the actual production process. This data-driven weight coefficient calculation method can avoid the deviation that may be caused by traditional experience judgment, ensure that the weight distribution is more reasonable and scientific, and thus accurately reflect the actual contribution of each factor to the comprehensive production quality index. Different cosmetic production processes and formulas may have different sensitivities to raw material quality, component stability and production environment. Using machine learning methods, the weight coefficient can be dynamically adjusted according to different product types or production conditions to adapt to the changing needs of the production line. This flexibility makes the system more widely applicable and can maintain high accuracy and stability in different production scenarios. By fitting and analyzing a large amount of historical production data, not only can the weight coefficient be determined, but also the system's predictive ability for finished product quality can be improved. Machine learning methods can explore the potential laws in the production process and optimize the comprehensive The evaluation model of the production quality index provides intelligent support for production quality management. This data-driven optimization capability can help companies discover potential quality problems in the production process earlier, improve production efficiency and finished product qualification rate. Traditional weight coefficient design usually relies on expert experience and may lead to deviations due to personal subjective judgment. Fitting through machine learning or statistical methods can make objective decisions based on data, reduce the impact of human factors on system performance, and thus improve the reliability and repeatability of the system. This objective weight design method helps companies to achieve standardized and automated quality assessment processes. The weight coefficient is determined using machine learning methods, which facilitates continuous optimization and iteration of the system according to new data during operation. As the amount of production line data increases, the model can continuously improve the evaluation accuracy through incremental learning or retraining, so that the weight distribution is more in line with the actual production situation. This iterative optimization capability enables the system to always remain efficient and accurate, and can continuously improve quality management capabilities as production technology advances.

[0045] Specifically, the specific steps for obtaining the quality index of the raw material ingredients of the previous production link of each cosmetic product to be analyzed are as follows: obtaining the raw material concentration parameter value of each production raw material of the previous production link of each cosmetic product to be analyzed, and performing a comprehensive analysis based on the raw material concentration value of each measurement position point of each production raw material to obtain the raw material concentration uniformity index of the previous production link of each cosmetic product to be analyzed; obtaining the ingredient temperature parameter value of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed, and performing a comparative analysis on the ingredient temperature values ​​of each production ingredient at several time points in the production process of the previous production link of each cosmetic product to be analyzed to obtain the maximum ingredient temperature and the minimum ingredient temperature of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed; A comprehensive analysis is performed on the ingredient temperature parameter value, the ingredient temperature maximum value, and the ingredient temperature minimum value of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed to obtain the ingredient temperature fluctuation index of the previous production link of each cosmetic product to be analyzed; the actual raw ingredient mixing time parameter value in the generation process of the previous production link of each cosmetic product to be analyzed is obtained, and combined with the actual raw ingredient mixing time value in the generation process of the previous production link of each cosmetic product to be analyzed, a comprehensive analysis is performed to obtain the mixing time efficiency index of the previous production link of each cosmetic product to be analyzed; a raw material concentration uniformity index, an ingredient temperature fluctuation index, and a mixing time efficiency index of the previous production link of each cosmetic product to be analyzed are comprehensively analyzed to obtain the production raw ingredient quality index of the previous production link of each cosmetic product to be analyzed.

[0046] The specific formulas for calculating the raw material concentration uniformity index, ingredient temperature fluctuation index, mixing time efficiency index, and production raw ingredient quality index of the previous production link of each cosmetic product to be analyzed are as follows: ;in, To be analyzed The uniformity index of raw material concentration in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The first production material The raw material concentration value at each measuring point, To be analyzed The first stage of the production of cosmetic products The raw material concentration parameter value of the production raw material, The first The first stage of the production of cosmetic products The weighting coefficient of the production raw materials, To be analyzed The temperature fluctuation index of ingredients in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The maximum temperature of the batching material of the production batching, To be analyzed The first stage of the production of cosmetic products The minimum temperature of the batching material for the production of the batching material. To be analyzed The first stage of the production of cosmetic products The batching temperature parameter value of the production batching, To be analyzed The first stage of the production of cosmetic products The weighting coefficient of the production ingredients, To be analyzed The mixed time efficiency index of the previous production link of a cosmetic product, To be analyzed The actual raw material mixing time parameter value of the previous production link of a cosmetic product, To be analyzed The actual mixing time of the raw ingredients in the previous production link of a cosmetic product, To be analyzed The quality index of the raw materials in the previous production link of a cosmetic product, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of raw materials produced, =1, 2, 3, ..., , is the number of measurement position points, =1, 2, 3, ..., , The number of production ingredients.

[0047] It should be explained that the parameter values ​​of the ingredient temperature of each production ingredient, the parameter values ​​of the ingredient temperature of each production ingredient, and the parameter values ​​of the actual raw ingredient mixing time can all be directly obtained from the cosmetic product production technical manual.

[0048] The specific calculation process is as follows: The concentration parameter values ​​of each raw material in the previous production link of each cosmetic product are summed and analyzed to obtain the first The concentration of raw materials in the previous production link of the cosmetic product is determined and the value is then The first stage of the production of cosmetic products The raw material concentration parameter values ​​of the various production raw materials are respectively compared with the production raw material concentration parameter sum value, and the analysis result is the corresponding weighted coefficient.

[0049] The specific calculation process is as follows: The temperature parameter values ​​of each ingredient in the previous production link of the cosmetic product are summed and analyzed to obtain the temperature parameter value of the first ingredient to be analyzed. The temperature parameters and values ​​of the production ingredients in the previous production link of the cosmetic product are then The first stage of the production of cosmetic products The parameter values ​​of the batching temperature of the various production batchings are respectively compared with the parameter sum of the production batching temperature, and the analysis result is the corresponding weighted coefficient.

[0050] In the formula This term is a linear normalization function, To be analyzed The raw material concentration uniformity index of the previous production link of a cosmetic product is used to measure the uniformity of concentration. If the concentration deviation is smaller (close to 0), this item is closer to 1, indicating that the concentration uniformity is good. If it is larger (close to 1), this item is close to 0, indicating that the concentration deviation is large and the uniformity is poor.

[0051] In the formula This is an exponential decay function. To be analyzed The temperature fluctuation index of ingredients in the previous production link of a cosmetic product is used to reflect the impact of temperature fluctuations. When the temperature fluctuation is smaller, the closer this item is to 1, indicating that the temperature control is more stable. If the temperature fluctuation is larger, the closer this item is to 1, indicating that the temperature control is poor.

[0052] In the formula Used to directly measure the difference between actual mixing time and ideal mixing time, To be analyzed The mixing time efficiency index of the previous production link of a cosmetic product. If the actual raw ingredient mixing time parameter value = the actual raw ingredient mixing time value, this item is 1, indicating that the mixing time fully meets the standard. If the actual raw ingredient mixing time value > the actual raw ingredient mixing time parameter value, this item is less than 1, indicating that the mixing time exceeds the standard.

[0053] In this implementation scheme, by calculating the raw material concentration uniformity index, ingredient temperature fluctuation index and mixing time efficiency index respectively, this part of the content conducts a detailed evaluation of the quality of the raw materials from multiple dimensions. The raw material concentration uniformity index can reflect the uniformity of the production raw materials at each measurement point, and ensure the consistency of the raw material distribution in the production process; the ingredient temperature fluctuation index measures the impact of temperature fluctuations on the production process through an exponential decay function, reflecting the key role of temperature control on the stability of cosmetic ingredients; the mixing time efficiency index directly measures the deviation of the actual mixing time from the ideal standard, thereby judging the efficiency and stability in the production process. This multi-dimensional indicator design can comprehensively cover the core elements of the raw material quality assessment and provide a basis for the subsequent comprehensive production quality index. The calculation provides a more scientific and detailed data basis. This part closely combines the quality assessment with the standards in the cosmetics production technical manual by introducing parameter values ​​(such as raw material concentration parameter values, ingredient temperature parameter values, and actual raw ingredient mixing time parameter values), ensuring that the evaluation process has a clear reference basis. The parameter values ​​are directly derived from the technical manual, which is authoritative and operational, avoiding errors caused by vague standards or human judgment in the quality assessment process. Through the ratio analysis and normalization of these parameter values ​​and production data, the quality status of each production link can be clearly quantified, providing clear data support for production management. The design of the weighted coefficient takes into account the specific characteristics of different production raw materials and ingredients through ratio analysis, and can adapt to different types of chemicals. The production needs of cosmetics, for example, the weighted coefficients of raw material concentration and ingredient temperature are calculated by the ratio of the parameter value of the production raw materials or ingredients to the total parameter value, so that the method can flexibly adapt to the importance weights of raw materials or ingredients in different cosmetic formulas. This design not only improves the versatility of the evaluation method, but also can be adjusted according to actual production needs, so as to maintain the accuracy and reliability of the evaluation results in different production lines. Through linear normalization function, exponential decay function and direct difference measurement function, the mathematical model of this part has clear physical meaning and logic. For example, the linear normalization function can clearly reflect the uniformity of raw material concentration, the exponential decay function can accurately describe the impact of temperature fluctuations on production quality, and the direct difference measurement function can accurately describe the impact of temperature fluctuations on production quality. The quantity function can objectively evaluate the deviation of mixing time. These function models are concise and clear, and can accurately reflect the key issues in the production process, thereby providing production managers with intuitive and practical analysis tools. By real-time calculation of indicators such as raw material concentration uniformity, ingredient temperature fluctuations and mixing time efficiency, this part of the content can dynamically reflect the quality status of each production link. If quality problems occur in a certain link in the production process (such as large temperature fluctuations or large mixing time deviations), the relevant indexes will quickly reflect the abnormality and issue timely warnings to help production managers make rapid adjustments and optimizations. This dynamic evaluation mechanism significantly improves the real-time control capability of the production process, reduces the cumulative risk of quality problems, and ultimately improves the stability and consistency of finished product quality.

[0054] Specifically, the specific steps for obtaining the production component stability index of the previous production link of each cosmetic product to be analyzed are as follows: comprehensively analyze the concentration change, reaction time value, reaction activation energy value, and reaction temperature value of each chemical reactant in the previous production link of each cosmetic product to be analyzed, and obtain the reaction rate stability index of the previous production link of each cosmetic product to be analyzed; comprehensively analyze the absorbance value at the beginning of the reaction and the absorbance value at the end of the reaction of each chemical reactant in the previous production link of each cosmetic product to be analyzed, and obtain the component degradation index of the previous production link of each cosmetic product to be analyzed; comprehensively analyze the reaction temperature value of each chemical reactant in the previous production link of each cosmetic product to be analyzed, and obtain the reaction temperature stability index of the previous production link of each cosmetic product to be analyzed; comprehensively analyze the reaction rate stability index, component degradation index, and reaction temperature stability index of the previous production link of each cosmetic product to be analyzed, and obtain the production component stability index of the previous production link of each cosmetic product to be analyzed.

[0055] The specific formulas for calculating the reaction rate stability index, component degradation index, reaction temperature stability index, and production component stability index of the previous production link of each cosmetic product to be analyzed are as follows: ;in, To be analyzed The reaction rate stability index of the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The concentration change of a chemical reactant, To be analyzed The first stage of the production of cosmetic products The reaction time value of the chemical reactants, To be analyzed The first stage of the production of cosmetic products The activation energy of the reaction of chemical reactants, is the gas constant stored in the database, To be analyzed The first stage of the production of cosmetic products The reaction temperature of the chemical reactants, To be analyzed The first stage of the production of cosmetic products The reaction weight coefficients of the chemical reactants are To be analyzed The degradation index of ingredients in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The absorbance value of a chemical reactant at the beginning of the reaction, To be analyzed The first stage of the production of cosmetic products The absorbance value of the chemical reactants at the end of the reaction, To be analyzed The first stage of the production of cosmetic products The degradation weighting coefficient of the chemical reactants, To be analyzed The reaction temperature stability index of the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The temperature weighting coefficient of the chemical reactants is To be analyzed The stability index of production ingredients in the previous production link of a cosmetic product, is the reaction coefficient stored in the database, is the degradation coefficient stored in the database, is the temperature coefficient stored in the database, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of chemical reaction species.

[0056] It should be explained that when calculating the production component stability index of the previous production link of each cosmetic product to be analyzed, its various parameters are dimensionless and can therefore be directly calculated and analyzed.

[0057] The specific calculation process is as follows: The reaction rates of each chemical reactant in the previous production link of the cosmetic product are summed and analyzed to obtain the first The reaction rate and value of the previous production link of the cosmetic product, and then the The first stage of the production of cosmetic products The reaction rates of the chemical reactants are ratio-analyzed with the reaction rates and values ​​respectively, and the analysis results are the corresponding reaction weighted coefficients, where the reaction rate is calculated by the formula ((concentration change / reaction time value)*exp(-(reaction activation energy value / (gas constant*reaction temperature value))).

[0058] The specific calculation process is as follows: The absorbance values ​​of each chemical reactant at the beginning of the reaction of the previous production link of the cosmetic product are summed and analyzed to obtain the absorbance value of the first The absorbance and value of the previous production link of the cosmetic product, and then The first stage of the production of cosmetic products The absorbance values ​​of the chemical reactants at the beginning of the reaction are ratio-analyzed with the absorbance and the absorbance values, and the analysis result is the corresponding degradation weighted coefficient.

[0059] The specific calculation process is as follows: The reaction temperature values ​​of each chemical reactant in the previous production link of the cosmetic product are summed and analyzed to obtain the first The reaction temperature and value of the previous production link of the cosmetic product, and then The first stage of the production of cosmetic products The reaction temperature values ​​of the chemical reactants are ratio-analyzed with the reaction temperatures and values ​​respectively, and the analysis results are the corresponding temperature weighting coefficients.

[0060] In this embodiment, by calculating the reaction rate stability index, component degradation index and reaction temperature stability index respectively, the stability of chemical reactions in the production process is comprehensively measured from multiple dimensions. The reaction rate stability index can accurately reflect the efficiency and stability of the reaction process, the component degradation index can effectively evaluate the stability of chemical reactants in the production process, and the reaction temperature stability index characterizes the accuracy of reaction temperature control. The comprehensive analysis of these indicators provides a scientific basis for the quality assessment of production components, and can more accurately judge whether the production process has met the quality standards, reducing the risk of component instability due to fluctuations in the reaction process. In the calculation process, all parameters are dimensionally processed, eliminating the calculation deviation that may be caused by unit and dimension differences between different parameters. This processing method simplifies the calculation process, ensures direct comparability between parameters, and improves the accuracy and versatility of the evaluation. At the same time, the dimensionless data can adapt to the needs of different products and different processes, and provide a unified calculation standard for the quality assessment of different cosmetics production lines, enhancing the flexibility of the system, and calculating the reaction through ratio analysis. The weighting coefficient, degradation weighting coefficient and temperature weighting coefficient can flexibly adjust the weights of different chemical reactants in the evaluation according to the characteristics of different chemical reactants in actual production. For example, the reaction rate weighting coefficient is based on the rate ratio of each chemical reactant, which can highlight the reactants with greater impact on the reaction efficiency; the degradation weighting coefficient accurately measures the degradation stability of chemical reactants through the ratio of absorbance values; the temperature weighting coefficient evaluates the overall impact of temperature control on the reaction according to the contribution of reaction temperature. This data-based dynamic weight allocation mechanism improves the accuracy and practicality of the evaluation method. Through dynamic monitoring of multiple parameters of each chemical reactant in the production process, this part of the content realizes a refined analysis of the reaction process. For example, the dynamic changes in reaction rate can reflect the fluctuations in production efficiency in real time, the dynamic changes in absorbance reveal the process laws of reactant degradation, and the analysis of temperature control parameters can provide real-time warning of the potential impact of temperature abnormalities on the reaction. This dynamic analysis capability improves the sensitivity of production process quality control, can detect potential problems at an early stage and intervene in time to ensure the consistency and stability of finished product quality.

[0061] Specifically, the specific steps for obtaining the production environment index of the previous production link of each cosmetic product to be analyzed are as follows: respectively obtain the ambient temperature parameter value, ambient humidity parameter value, ambient pressure parameter value, and volatile agent rate parameter value in the production process of the previous production link of each cosmetic product to be analyzed, and respectively combine the ambient temperature value, ambient humidity value, ambient pressure value, and volatile agent rate value at each time point in the production process of the previous production link of each cosmetic product to be analyzed for comprehensive analysis to obtain the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, and volatile agent rate fluctuation index of the previous production link of each cosmetic product to be analyzed; comprehensively analyze the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, and volatile agent rate fluctuation index of the previous production link of each cosmetic product to be analyzed to obtain the production environment index of the previous production link of each cosmetic product to be analyzed.

[0062] The specific formulas for calculating the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, volatile agent rate fluctuation index, and production environment index of the previous production link of each cosmetic product to be analyzed are as follows: ;in, To be analyzed The ambient temperature fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The ambient temperature value at a time point, To be analyzed The ambient temperature parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The environmental humidity fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The ambient humidity value at a time point, To be analyzed The ambient humidity parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The environmental pressure fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The environmental pressure value at a time point, To be analyzed The environmental pressure parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The volatility index of the volatility of the last production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The volatile agent rate value at each time point is To be analyzed The parameter value of the volatile agent rate in the production process of the previous production link of a cosmetic product, To be analyzed The production environment index of the previous production link of a cosmetic product, To be analyzed The temperature influence coefficient of the previous production link of a cosmetic product, To be analyzed The humidity influence coefficient of the previous production link of a cosmetic product, To be analyzed The pressure influence coefficient of the previous production link of a cosmetic product, To be analyzed The volatility influence coefficient of the previous production link of a cosmetic product, , is a natural constant, and in this embodiment, its value is 3.14. =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of time points.

[0063] It should be explained that the ambient temperature parameter values, ambient humidity parameter values, ambient pressure parameter values, and volatilizer rate parameter values ​​in the production process can all be directly obtained from the cosmetic product production technical manual.

[0064] , , , The specific calculation process is as follows: The ambient temperature parameter value, ambient humidity parameter value, ambient pressure parameter value, and volatile agent rate parameter value of the previous production link of the cosmetic product are obtained, and dimensionless processing is performed. After dimensionless processing, summation analysis is performed to obtain the first parameter to be analyzed. The environment and value of the previous production link of a cosmetic product, and then the dimensionless processing will be The ambient temperature parameter value, ambient humidity parameter value, ambient pressure parameter value, and volatile agent rate parameter value in the production process of the previous production link of a cosmetic product are respectively analyzed with the ambient and values, and the analysis result is the corresponding influence coefficient.

[0065] In this implementation scheme, during the calculation process, the ambient temperature, humidity, pressure and volatility rate parameter values ​​are dimensionally processed, thereby effectively eliminating the influence of unit and dimension differences between different environmental parameters. This processing method not only simplifies the complexity of data calculation, but also improves the comparability and consistency between the parameters, so that the calculation results of each fluctuation index can be comprehensively analyzed under the same standard. At the same time, the dimensionless data has strong adaptability and versatility, which is convenient for promotion and application in different cosmetic production lines and production environments, further improving the flexibility of the system. The temperature influence coefficient, humidity influence coefficient, pressure influence coefficient and volatility influence coefficient are calculated by the proportion analysis method. This part dynamically allocates weights according to the actual contribution of different environmental parameters to production quality. For example, in the production link where temperature control is more critical, the proportion of temperature influence coefficient will be higher; and in humidity-sensitive processes, the humidity influence coefficient will occupy a more important position. This weight allocation method based on production characteristics can Accurately measure the actual impact of various environmental factors on production quality and avoid the parameter importance bias problem that may exist in traditional evaluation methods. The calculation formula of each fluctuation index intuitively reflects the specific impact of environmental parameter fluctuations on the production process. The production environment index further integrates the overall impact of environmental factors in various dimensions on production quality through weight distribution and index calculation. This intuitive and physically meaningful mathematical model is easy for production managers to understand and apply, and provides a clear optimization direction for environmental control in the actual production process. By dynamically monitoring and calculating the environmental parameters at each time point, this part of the content can reflect the environmental changes in the production process in real time. When an environmental parameter fluctuates abnormally, its fluctuation index will quickly reflect the problem and provide early warning through the overall change of the production environment index. This dynamic analysis capability not only improves the real-time control level of the production process, but also can discover potential environmental problems at an early stage to avoid serious impact on production quality, thereby significantly improving product qualification rate and production efficiency.

[0066] See also Figure 2The embodiment of the present invention provides a technical solution: a traceability tracking system for electronic two-dimensional codes of cosmetics, including: a data storage module, a traceability processing module, an index analysis module, a comprehensive analysis module, a judgment analysis module, and a traceability feedback module; the data storage module is used for storing the production data of the corresponding production link in the electronic two-dimensional code of the cosmetics to be analyzed after each production link is completed for a number of cosmetics to be analyzed, and the production data includes the quality data of the original production ingredients, the stability data of the production ingredients, and the production environment data; the traceability processing module is used for scanning and tracing the electronic two-dimensional code of each cosmetics to be analyzed in the next production link, and obtaining the production data of the previous production link of each cosmetics to be analyzed; the index analysis module is used for performing comprehensive analysis on the production data of the previous production link of each cosmetics to be analyzed, and obtaining the quality index of the original production ingredients, the stability index of the production ingredients, and the production environment index of the previous production link of each cosmetics to be analyzed; the comprehensive analysis module is used for storing the production data of the previous production link of each cosmetics to be analyzed The production raw material quality index, production ingredient stability index and production environment index of the section are comprehensively analyzed respectively to obtain the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed; the judgment analysis module is used to judge whether the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is respectively within the preset comprehensive production quality range; the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is within the preset comprehensive production quality range is marked as qualified quality, and the production process is continued; the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is outside the preset comprehensive production quality range is marked as unqualified quality, and screening is carried out; the traceability feedback module is used to enable the user to scan the electronic QR code on the cosmetic product after using the cosmetic product, and click the feedback information evaluation link, and then jump to the use feedback information page of the cosmetic product, on which the user can evaluate the specific use feedback of the cosmetic product, and the evaluation description can be viewed by each user who uses the cosmetic product.

[0067] In summary, this application has at least the following effects:

[0068] By dynamically storing production data after each production link, including information such as the quality of raw ingredients, ingredient stability and production environment, a complete link record chain is formed. These data are updated in real time through electronic QR codes to ensure that traceability information is synchronized with actual production, thereby improving the real-time and traceability efficiency of data. This link-by-link tracking mechanism significantly improves the transparency of the cosmetics production process, allowing specific production links to be quickly located when quality problems arise, thereby avoiding the spread and accumulation of problems.

[0069] By introducing multi-dimensional analysis indicators such as the production raw material quality index, production ingredient stability index, and production environment index, and establishing a scientific comprehensive production quality evaluation system, key parameters in each production link, such as raw material concentration, reaction rate, ambient temperature and humidity, are systematically collected and analyzed, and ultimately the production quality of the product is quantified in the form of a comprehensive quality index. This multi-dimensional analysis method can comprehensively measure the complexity of the production process, discover quality problems that are difficult to capture with single data, and improve the accuracy and reliability of production quality control, thereby ensuring the qualification of the final product.

[0070] By comparing the comprehensive production quality index with the preset standard range, unqualified products can be accurately screened out and their abnormal data can be stored for subsequent analysis and improvement. This mechanism not only improves the quality management process, but also dynamically determines the source of quality problems in each production link, reducing the risk of unqualified products flowing into the next link. At the same time, the stored unqualified data provides data support for problem tracing and subsequent optimization, thereby reducing production costs while improving overall production efficiency, providing cosmetics manufacturers with powerful quality traceability and dynamic control capabilities.

[0071] Through modular design, each module is responsible for production data storage, cross-link traceability, quality index calculation and quality judgment processing. The functional responsibilities are clear, and the modules achieve seamless collaboration through data transmission. This modular architecture not only facilitates the installation and maintenance of the system, but also provides flexibility for future system upgrades and functional expansions. For example, new data analysis modules can be added or quality judgment logic can be adjusted according to the production needs of the enterprise. In addition, the modular design also facilitates the transplantation of the system to different production lines or other fields, achieving wide applicability, which helps cosmetics manufacturers reduce technology implementation costs and improve the level of intelligent production management.

[0072] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0073] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for tracing the source of cosmetics electronic QR codes, characterized in that: The following steps are involved: For several cosmetic products to be analyzed, after each production link is completed, the production data of the corresponding production link is stored in the electronic QR code of the cosmetic product to be analyzed, and the production data includes the quality data of the raw ingredients, the stability data of the production ingredients, and the production environment data; In the next production link, the electronic QR code of each cosmetic product to be analyzed is scanned and traced to obtain the production data of the previous production link of each cosmetic product to be analyzed, and a comprehensive analysis is performed to obtain the production raw material quality index, production component stability index, and production environment index of the previous production link of each cosmetic product to be analyzed; Comprehensively analyze the production raw material quality index, production component stability index, and production environment index of the previous production link of each cosmetic product to be analyzed, and obtain the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed; Determine whether the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is respectively within a preset comprehensive production quality range; The cosmetic products to be analyzed whose comprehensive production quality index of the previous production link is within the preset comprehensive production quality range are marked as qualified, and the production process is continued; The cosmetic products to be analyzed whose comprehensive production quality index of the previous production link is outside the preset comprehensive production quality range are marked as unqualified and screened.

2. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 1, characterized in that: The production raw ingredient quality data includes the raw material concentration values ​​at several measurement positions of each production raw material, the ingredient temperature values ​​at several time points of each production ingredient in the production process, and the actual raw ingredient mixing time value in the production process. The production component stability data includes the concentration change of each chemical reactant in the production process, the reaction time value, the reaction activation energy value, the reaction temperature value, the absorbance value at the beginning of the reaction, and the absorbance value at the end of the reaction. The production environment data includes the ambient temperature values, ambient humidity values, ambient pressure values, and volatile agent rate values ​​at several time points in the production process.

3. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 1, characterized in that: The specific formula for calculating the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is as follows: ； in, To be analyzed The comprehensive production quality index of the previous production link of a cosmetic product, To be analyzed The quality index of the raw materials in the previous production link of a cosmetic product, is the quality coefficient of the original ingredients stored in the database, To be analyzed The stability index of production ingredients in the previous production link of a cosmetic product, is the component stability coefficient stored in the database, To be analyzed The production environment index of the previous production link of a cosmetic product, is the environmental coefficient stored in the database, , is the circumference of a circle, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed.

4. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 2, characterized in that: The specific steps for obtaining the quality index of the raw ingredients in the previous production link of each cosmetic product to be analyzed are as follows: Obtaining the raw material concentration parameter value of each production raw material in the previous production link of each cosmetic product to be analyzed, and performing a comprehensive analysis based on the raw material concentration value of each measurement position point of each production raw material, to obtain the raw material concentration uniformity index of the previous production link of each cosmetic product to be analyzed; Obtaining the ingredient temperature parameter value of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed, and comparing and analyzing the ingredient temperature values ​​of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed at several time points, to obtain the maximum ingredient temperature and the minimum ingredient temperature of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed; Comprehensively analyze the ingredient temperature parameter value, the maximum ingredient temperature, and the minimum ingredient temperature of each production ingredient in the production process of the previous production link of each cosmetic product to be analyzed, and obtain the ingredient temperature fluctuation index of the previous production link of each cosmetic product to be analyzed; Obtaining the actual raw material mixing time parameter value in the production process of the previous production link of each cosmetic product to be analyzed, and performing a comprehensive analysis based on the actual raw material mixing time value in the production process of the previous production link of each cosmetic product to be analyzed, to obtain the mixing time efficiency index of the previous production link of each cosmetic product to be analyzed; A comprehensive analysis is performed on the raw material concentration uniformity index, ingredient temperature fluctuation index, and mixing time efficiency index of the previous production link of each cosmetic product to be analyzed to obtain the production raw ingredient quality index of the previous production link of each cosmetic product to be analyzed.

5. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 4, characterized in that: The specific formulas for calculating the raw material concentration uniformity index, ingredient temperature fluctuation index, mixing time efficiency index, and production raw ingredient quality index of the previous production link of each cosmetic product to be analyzed are as follows: ； in, To be analyzed The uniformity index of raw material concentration in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The first production material The raw material concentration value at each measuring point, To be analyzed The first stage of the production of cosmetic products The raw material concentration parameter value of the production raw material, The first The first stage of the production of cosmetic products The weighting coefficient of the production raw materials, To be analyzed The temperature fluctuation index of ingredients in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The maximum temperature of the batching material of the production batching, To be analyzed The first stage of the production of cosmetic products The minimum temperature of the batching material for the production of the batching material. To be analyzed The first stage of the production of cosmetic products The temperature parameter value of the ingredients for the production of ingredients, To be analyzed The first stage of the production of cosmetic products The weighting coefficient of the production ingredients, To be analyzed The mixed time efficiency index of the previous production link of a cosmetic product, To be analyzed The actual raw material mixing time parameter value of the previous production link of a cosmetic product, To be analyzed The actual mixing time of the raw ingredients in the previous production process of a cosmetic product, To be analyzed The quality index of the raw materials in the previous production link of a cosmetic product, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of raw materials for production, =1, 2, 3, ..., , is the number of measurement position points, =1, 2, 3, ..., , The number of production ingredients.

6. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 2, characterized in that: The specific steps for obtaining the production component stability index of the previous production link of each cosmetic product to be analyzed are as follows: Comprehensively analyze the concentration change, reaction time, reaction activation energy, and reaction temperature of each chemical reactant in the previous production link of each cosmetic product to be analyzed, and obtain the reaction rate stability index of the previous production link of each cosmetic product to be analyzed; Comprehensively analyze the absorbance value at the beginning of the reaction and the absorbance value at the end of the reaction of each chemical reactant in the previous production link of each cosmetic product to be analyzed, and obtain the component degradation index of the previous production link of each cosmetic product to be analyzed; Comprehensively analyzing the reaction temperature value of each chemical reactant in the previous production link of each cosmetic product to be analyzed, and obtaining the reaction temperature stability index of the previous production link of each cosmetic product to be analyzed; A comprehensive analysis is performed on the reaction rate stability index, component degradation index, and reaction temperature stability index of the previous production link of each cosmetic product to be analyzed to obtain the production component stability index of the previous production link of each cosmetic product to be analyzed.

7. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 6, characterized in that: The specific formulas for calculating the reaction rate stability index, component degradation index, reaction temperature stability index, and production component stability index of the previous production link of each cosmetic product to be analyzed are as follows: ； in, To be analyzed The reaction rate stability index of the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The concentration change of a chemical reactant, To be analyzed The first stage of the production of cosmetic products The reaction time value of a chemical reactant, To be analyzed The first stage of the production of cosmetic products The activation energy of the reaction of chemical reactants, is the gas constant stored in the database, To be analyzed The first stage of the production of cosmetic products The reaction temperature of the chemical reactants, To be analyzed The first stage of the production of cosmetic products The reaction weight coefficients of the chemical reactants are To be analyzed The degradation index of ingredients in the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The absorbance value of a chemical reactant at the beginning of the reaction, To be analyzed The first stage of the production of cosmetic products The absorbance value of the chemical reactants at the end of the reaction, To be analyzed The first stage of the production of cosmetic products The degradation weighting coefficient of the chemical reactants is To be analyzed The reaction temperature stability index of the previous production link of a cosmetic product, To be analyzed The first stage of the production of cosmetic products The temperature weighting coefficient of the chemical reactants is To be analyzed The stability index of production ingredients in the previous production link of a cosmetic product, is the reaction coefficient stored in the database, is the degradation coefficient stored in the database, is the temperature coefficient stored in the database, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of chemical reaction species.

8. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 2, characterized in that: The specific steps for obtaining the production environment index of the previous production link of each cosmetic product to be analyzed are as follows: Respectively obtain the ambient temperature parameter value, ambient humidity parameter value, ambient pressure parameter value, and volatile agent rate parameter value in the production process of the previous production link of each cosmetic product to be analyzed, and respectively combine the ambient temperature value, ambient humidity value, ambient pressure value, and volatile agent rate value at each time point in the production process of the previous production link of each cosmetic product to be analyzed for comprehensive analysis to obtain the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, and volatile agent rate fluctuation index of the previous production link of each cosmetic product to be analyzed; A comprehensive analysis is performed on the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, and volatile agent rate fluctuation index of the previous production link of each cosmetic product to be analyzed to obtain the production environment index of the previous production link of each cosmetic product to be analyzed.

9. The method for tracing the source of cosmetics electronic two-dimensional codes according to claim 8, characterized in that: The specific formulas for calculating the ambient temperature fluctuation index, ambient humidity fluctuation index, ambient pressure fluctuation index, volatile agent rate fluctuation index, and production environment index of the previous production link of each cosmetic product to be analyzed are as follows: ； in, To be analyzed The ambient temperature fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The ambient temperature value at a time point, To be analyzed The ambient temperature parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The environmental humidity fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The ambient humidity value at a time point, To be analyzed The ambient humidity parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The environmental pressure fluctuation index of the previous production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The environmental pressure value at a time point, To be analyzed The environmental pressure parameter value of the production process of the previous production link of a cosmetic product, To be analyzed The volatility index of the volatility of the last production link of a cosmetic product, To be analyzed The first step in the production process of the previous production link of a cosmetic product The volatile agent rate value at each time point is To be analyzed The parameter value of the volatile agent rate in the production process of the previous production link of a cosmetic product, To be analyzed The production environment index of the previous production link of a cosmetic product, To be analyzed The temperature influence coefficient of the previous production link of a cosmetic product, To be analyzed The humidity influence coefficient of the previous production link of a cosmetic product, To be analyzed The pressure influence coefficient of the previous production link of a cosmetic product, To be analyzed The volatility influence coefficient of the previous production link of a cosmetic product, , is a natural constant, =1, 2, 3, ..., , is the number of cosmetic products to be analyzed, =1, 2, 3, ..., , is the number of time points.

10. A cosmetic electronic two-dimensional code traceability system, using the cosmetic electronic two-dimensional code traceability method according to any one of claims 1 to 9, characterized in that: include: Data storage module, traceability processing module, index analysis module, comprehensive analysis module, judgment analysis module; The data storage module is used to store the production data of the corresponding production link into the electronic QR code of the cosmetic product to be analyzed after each production link of the cosmetic products to be analyzed, wherein the production data includes the quality data of the raw ingredients, the stability data of the production ingredients, and the production environment data; The traceability processing module is used to scan the electronic two-dimensional code of each cosmetic product to be analyzed and perform traceability processing in the next production link to obtain the production data of the previous production link of each cosmetic product to be analyzed; The index analysis module is used to comprehensively analyze the production data of the previous production link of each cosmetic product to be analyzed, and obtain the production raw material quality index, production component stability index, and production environment index of the previous production link of each cosmetic product to be analyzed; The comprehensive analysis module is used to comprehensively analyze the production raw material quality index, production component stability index, and production environment index of the previous production link of each cosmetic product to be analyzed, and obtain the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed; The judgment and analysis module is used to judge whether the comprehensive production quality index of the previous production link of each cosmetic product to be analyzed is respectively within the preset comprehensive production quality range; mark the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is within the preset comprehensive production quality range as qualified quality, and continue production processing; mark the cosmetic product to be analyzed whose comprehensive production quality index of the previous production link is outside the preset comprehensive production quality range as unqualified quality, and perform screening processing.

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