Quality traceability method and system for medical beauty products based on the Internet of Things

Abstract

The present invention relates to the technical field of quality traceability of medical beauty products, and in particular to a method and system for quality traceability of medical beauty products based on the Internet of Things. The method comprises the following steps: tracing the entire process of medical beauty products through the Internet of Things to obtain the source of raw materials of medical beauty products and their characteristic data; analyzing the stability of finished products of medical beauty products in combination with the characteristic data of raw materials, and monitoring the transportation and storage conditions to detect component failure; evaluating and detecting stimulant growth by analyzing component failure data; analyzing production and storage anomalies based on stimulant growth data, and finally realizing effective management of the entire process of medical beauty products; the present invention manages the quality of medical beauty products through the medical beauty product quality traceability method to achieve safer and more stable quality of medical beauty products.

Description

Technical Field

[0001] The present invention relates to the technical field of quality traceability of medical aesthetic products, and in particular to a method and system for quality traceability of medical aesthetic products based on the Internet of Things. Background Art

[0002] The traditional production process of medical beauty products mostly relies on manual records and local testing. Although it can meet basic regulatory requirements, it is difficult to effectively ensure the stability and safety of products due to the lack of full data traceability and a transparent quality management system. Therefore, how to improve the comprehensiveness and transparency of medical beauty product quality management through modern scientific and technological means has become a difficult problem that needs to be solved urgently in the medical beauty product industry. The Internet of Things can collect data in real time at various stages of medical beauty product production, transportation, storage, etc. through wireless sensors, RFID, GPS and other technical means to form a complete product life cycle data chain. These data not only include the source and quality inspection information of raw materials of medical beauty products, but also cover various environmental parameters in the production process, temperature and humidity during transportation, light and other external influencing factors, and can even monitor the status of finished products in real time. However, the traditional quality traceability of medical beauty products has the problem of inaccurate analysis of the characteristics of raw materials of medical beauty products and inaccurate analysis of the oxidation probability of medical beauty products during transportation and storage. Summary of the invention

[0003] Based on this, it is necessary to provide a quality traceability method and system for medical beauty products based on the Internet of Things to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above purpose, a method and system for tracing the quality of medical beauty products based on the Internet of Things includes the following steps:

[0005] Step S1: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products;

[0006] Step S2: Performing stability analysis on finished medical beauty products based on raw material property data of medical beauty products to obtain finished medical beauty product stability data; performing transportation and storage testing on medical beauty products based on full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products; performing component failure testing on finished medical beauty product stability data based on transportation and storage data of medical beauty products to obtain component failure data of medical beauty products;

[0007] Step S3: Perform a stimulating growth test on medical beauty products based on the transportation and storage data of medical beauty products and the expiration data of medical beauty product ingredients to obtain stimulating growth data on medical beauty products; perform a safety estimation on the use of medical beauty products based on the stability data of finished medical beauty products and the stimulating growth data on medical beauty products to obtain safety data on the use of medical beauty products;

[0008] Step S4: Based on the stimulation growth data of medical beauty products and the safety data of medical beauty products, the production and storage anomalies of medical beauty products are analyzed to obtain the production and storage anomalies data of medical beauty products; the whole process of medical beauty products is managed based on the whole process traceability data of medical beauty products according to the production and storage anomalies data of medical beauty products to obtain the whole process management data of medical beauty products.

[0009] The quality traceability method of medical beauty products based on the Internet of Things of the present invention can effectively improve the comprehensiveness and accuracy of product quality management through real-time monitoring and data collection. Through the collection of full-process traceability data, it is ensured that the raw material source, production process and transportation and storage conditions of each batch of medical beauty products are clearly recorded, thereby providing higher transparency for enterprises and consumers. This method can identify factors affecting product stability, such as the solubility and chemical properties of raw materials, by analyzing the source and characteristics of raw materials, thereby achieving preventive quality control and reducing the instability of finished products caused by raw material quality problems. The finished product stability analysis of medical beauty products can further reveal the performance of products under different environmental conditions, ensuring that they will not be negatively affected by external factors such as temperature and humidity during transportation and storage, thereby reducing the risk of deterioration. At the same time, the application of the Internet of Things enables real-time feedback of data during transportation, which is very important for timely discovering the deterioration or failure trend of finished products, helping enterprises to take countermeasures to prevent unqualified products from entering the market. By analyzing the component failure data, the real-time detection of the transportation and storage process by the Internet of Things platform effectively monitors whether the product meets the specified environmental requirements during transportation and storage. By combining transportation and storage data with ingredient failure data, environmental factors that lead to ingredient failure, such as abnormal temperature and humidity, can be detected in a timely manner to avoid quality problems caused by unqualified external environment during product circulation. In addition, through the detection of irritant growth, it is possible to identify the changing trend of products during transportation and storage, and to provide early warning of risk factors that lead to irritant reactions, further ensuring the safety of consumers. Through production and storage anomaly analysis, it is possible to identify unqualified links in the production and storage process, and provide timely feedback to the production management level for adjustment and optimization. Combined with the traceability data of the entire process, further effective quality control can be carried out to avoid the recurrence of similar problems and form a comprehensive management of the entire process of medical beauty products. Ensure that medical beauty products reach the sterility assurance level (SAL), that is, the probability of microbial survival after sterilization of the product and packaging. Generally, the SAL is required to reach 10^{-6}. Therefore, the present invention is an optimization of a traditional medical beauty product quality traceability method based on the Internet of Things, which solves the problem of inaccurate analysis of the characteristics of raw materials of medical beauty products and inaccurate analysis of the probability of oxidation during transportation, storage and other processes of medical beauty products in the traditional quality traceability method of medical beauty products based on the Internet of Things, and improves the accuracy of the analysis of the characteristics of raw materials of medical beauty products and the accuracy of the analysis of the probability of oxidation during transportation, storage and other processes of medical beauty products.

[0010] Preferably, step S1 comprises the following steps:

[0011] Step S11: tracing the entire process of medical beauty products based on the Internet of Things to obtain tracing data of the entire process of medical beauty products;

[0012] Step S12: collecting the sources of raw materials for medical beauty products according to the full-process traceability data of medical beauty products to obtain the source data of raw materials for medical beauty products;

[0013] Step S13: performing chemical property analysis of raw materials of medical beauty products according to the raw material source data of medical beauty products to obtain chemical property data of raw materials of medical beauty products;

[0014] Step S14: Calculate the probability of raw material microbial contamination based on the raw material source data and the raw material chemical property data of medical beauty products to obtain raw material microbial contamination probability data;

[0015] Step S15: Analyze the raw material characteristics based on the raw material microbial contamination probability data and the chemical property data of the medical beauty products to obtain the raw material characteristic data of the medical beauty products.

[0016] The present invention uses the whole process traceability based on the Internet of Things to fully monitor the production process of medical beauty products, ensuring that every link from raw materials to finished products can be accurately recorded and tracked. This process provides data support for the source collection of raw materials, ensures the traceability of each batch of raw materials, and effectively prevents the use of raw materials of unknown origin or non-compliant sources. Through the analysis of the chemical properties of raw materials, factors that affect the quality of medical beauty products, such as oxidizability, solubility, etc., can be identified in advance, thereby providing data guidance for subsequent production links to avoid the impact of unqualified raw materials on the stability of finished products. Calculating the probability of microbial contamination in combination with the source and chemical property data of raw materials helps to assess the risk of raw materials being contaminated in advance and reduce quality problems caused by microorganisms. The collection and analysis of this series of data, through a detailed analysis of the characteristics of raw materials, can more accurately determine whether the raw materials meet the quality standards for the production of medical beauty products, reduce the uncertainty in the production process, and improve the quality and safety of finished products.

[0017] Preferably, step S13 comprises the following steps:

[0018] Step S131: Performing raw material chemical composition testing on raw material source data of medical beauty products to obtain chemical composition data of raw materials of medical beauty products;

[0019] Step S132: performing oxidation stability analysis on the raw materials according to the chemical composition data of the raw materials of the medical beauty products to obtain oxidation stability data of the raw materials of the medical beauty products;

[0020] Step S133: collecting the acidity and alkalinity of the raw materials according to the raw material sensor data of the medical beauty products to obtain the acidity and alkalinity data of the raw materials of the medical beauty products;

[0021] Step S134: Perform chemical property analysis on the raw materials of medical beauty products based on the acidity and alkalinity data of the raw materials of medical beauty products and the oxidative stability data of the raw materials of medical beauty products to obtain the chemical property data of the raw materials of medical beauty products.

[0022] The present invention can accurately obtain detailed chemical information of raw materials by testing the chemical composition of raw materials for medical beauty products, ensure that each raw material meets production standards, and avoid the use of potentially harmful ingredients. This analysis provides a scientific basis for subsequent oxidation stability and acid-base analysis, helping to predict the stability of raw materials during production and storage. Oxidation stability analysis can evaluate whether the raw materials are easy to oxidize, so as to determine the deterioration or quality degradation caused by them in medical beauty products, and prevent risks that affect product safety in advance. Through the collection of acid-base data, we can further understand the chemical reactivity of raw materials in different environments, especially the stability under different pH conditions, which is crucial for emulsification, formula stability and the quality of finished products. Combining acid-base data and oxidation stability analysis results, we can comprehensively evaluate the chemical properties of raw materials for medical beauty products, ensure that they maintain good stability throughout the production process, and provide guarantees for the safety and efficacy of finished products.

[0023] Preferably, step S14 comprises the following steps:

[0024] Step S141: predicting the attenuation of antiseptic ability based on the chemical property data of raw materials of medical beauty products to obtain the attenuation data of the antiseptic ability of raw materials;

[0025] Step S142: Perform raw material nutrient testing based on raw material source data of medical beauty products to obtain raw material nutrient data of medical beauty products;

[0026] Step S143: evaluating the microbial growth environment according to the nutrient data of the raw materials of medical beauty products to obtain the microbial growth environment data of the raw materials;

[0027] Step S144: performing an estimation of the reduction of microbial inhibition ability of the raw material microbial growth environment data according to the raw material antiseptic ability reduction data to obtain microbial inhibition ability reduction data;

[0028] Step S145: Calculate the raw material microbial contamination probability based on the microbial inhibition capacity reduction data and the raw material microbial growth environment data to obtain the raw material microbial contamination probability data.

[0029] The present invention predicts the attenuation of the antiseptic ability of medical and beauty products by analyzing the chemical properties of the raw materials, thereby providing a basis for preventing microbial contamination and extending the shelf life of the product. Through the antiseptic ability attenuation data, the stability problems faced by the raw materials during long-term use are evaluated, and the formula is adjusted or the antiseptic measures are optimized in time. At the same time, the detection of raw material nutrients can reveal the nutrients required for microbial growth in the raw materials, helping to understand their potential impact on microbial reproduction. Through the evaluation of the nutrients in the raw materials, the growth environment provided by them for microorganisms is further analyzed to provide data support for the formulation of effective microbial control strategies. Combined with the evaluation of the microbial growth environment and the prediction of the attenuation of antiseptic ability, the microbial inhibition ability of raw materials under different storage and use conditions can be effectively predicted to prevent the risk of microbial contamination. Based on the data of the weakened microbial inhibition ability, the probability of microbial contamination of the raw materials is calculated, which helps to strengthen the selection and processing of raw materials in the production process, reduce the risk of finished product contamination, and ensure the safety and quality stability of medical and beauty products.

[0030] Preferably, step S2 comprises the following steps:

[0031] Step S21: performing stability analysis on finished medical beauty products according to raw material property data of medical beauty products to obtain stability data of finished medical beauty products;

[0032] Step S22: Perform transportation and storage testing of medical beauty products according to the full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products;

[0033] Step S23: estimating the deterioration trend of the medical beauty products based on the finished product stability data of the medical beauty products according to the transportation and storage environment data of the medical beauty products, and obtaining deterioration trend data of the medical beauty products;

[0034] Step S24: Perform failure detection of medical beauty product ingredients based on the medical beauty product deterioration trend data to obtain failure data of medical beauty product ingredients.

[0035] The present invention analyzes the stability of finished medical beauty products, timely identifies the changing trends of products under different environments, and ensures that the products maintain the expected quality throughout their life cycle. Transportation and storage are important factors affecting the quality of medical beauty products. By tracing the data of the entire process of medical beauty products, the temperature, humidity and other changes encountered by the products during transportation and storage can be accurately monitored to detect potential problems in advance. Combined with the transportation and storage data, the stability of the finished product is predicted, and its deterioration trend is further analyzed. By predicting the deterioration trend, the risk of ingredient failure can be identified early, and corresponding measures can be taken to reduce the probability of product deterioration or quality decline. Through these analytical methods, the quality controllability and safety of medical beauty products can be greatly improved, providing a scientific basis for production management and supply chain optimization, ensuring that consumers can use high-quality and stable products.

[0036] Preferably, step S21 includes the following steps:

[0037] Step S211: obtaining blending formula data of medical beauty products; performing raw material solubility testing according to raw material characteristic data of medical beauty products to obtain raw material solubility data of medical beauty products;

[0038] Step S212: performing stratification probability calculation of medical beauty products on the solubility data of raw materials of medical beauty products to obtain stratification probability data of medical beauty products;

[0039] Step S213: Calculate the stratification speed of medical beauty products based on the raw material blending low solubility data and the stratification probability data of medical beauty products to obtain the stratification speed data of medical beauty products;

[0040] Step S214: performing an estimation of incomplete emulsification of medical beauty products according to the stratification speed data of medical beauty products and the stratification probability data of medical beauty products to obtain incomplete emulsification data of medical beauty products;

[0041] Step S215: evaluating the antioxidant capacity of the medical beauty products according to the blending formula data of the medical beauty products and the raw material property data of the medical beauty products, and obtaining the antioxidant capacity data of the medical beauty products;

[0042] Step S216: Evaluate the stability of the finished medical beauty products according to the antioxidant capacity data of the medical beauty products and the incomplete emulsification data of the medical beauty products to obtain the stability data of the finished medical beauty products.

[0043] The present invention can fully grasp the dissolution of raw materials in medical beauty products by obtaining the blending formula data of medical beauty products and combining the raw material characteristic data for solubility detection, thereby providing a basis for subsequent product stability analysis. This analysis helps to evaluate the solubility differences of raw materials, and then deduce the stratification probability of medical beauty products, identify the risk of stratification in advance, and calculate the stratification rate, thereby providing guidance for optimizing the blending formula and production process of the product. In addition, combining the stratification rate data with the estimation of incomplete emulsification can effectively predict and control the incomplete emulsification problem that occurs during the production and storage of the product. The antioxidant capacity assessment further improves the assessment of the stability of the finished product, helps predict the deterioration trend of medical beauty products during long-term use, thereby improving the safety and service life of the product. Through the comprehensive analysis of these data, more accurate quality control and optimization can be achieved in the production process of medical beauty products.

[0044] Preferably, step S23 includes the following steps:

[0045] Step S231: collecting the change of light intensity in the transportation and storage environment according to the transportation and storage data of medical beauty products to obtain the transportation and storage light intensity change data;

[0046] Step S232: Perform ultraviolet radiation intensity detection on the transport and storage light intensity change data to obtain ultraviolet radiation intensity data;

[0047] Step S233: collecting transportation and storage temperature fluctuation data according to the ultraviolet radiation intensity data and the transportation and storage light intensity change data, and obtaining transportation and storage temperature fluctuation data of medical beauty products;

[0048] Step S234: collecting the humidity of the transportation and storage environment based on the transportation and storage data of the medical beauty products to obtain the humidity data of the transportation and storage environment of the medical beauty products;

[0049] Step S235: Based on the medical beauty product transportation and storage temperature fluctuation data, ultraviolet radiation intensity data, and medical beauty product transportation and storage environment humidity data, the medical beauty product finished product stability data is used to estimate the medical beauty product deterioration trend to obtain the medical beauty product deterioration trend data.

[0050] The present invention collects the changes in light intensity during the transportation and storage of medical beauty products, and can grasp the impact of light conditions on the ingredients of medical beauty products in real time, and then identify the quality changes produced under different light intensities. The detection of ultraviolet radiation intensity further supplements the impact of light factors, helps predict the damage of ultraviolet rays to product stability and ingredients, and ensures that the product will not be accelerated by external light conditions during transportation. Deterioration. In addition, the collection of temperature fluctuation data and humidity data provides an important basis for evaluating the comprehensive impact of the transportation and storage environment, especially the fluctuations in temperature and humidity directly affect the stability of the ingredients of medical beauty products, resulting in product quality changes. By combining these data with the stability of the finished product, the deterioration trend of medical beauty products during transportation and storage can be accurately predicted, thereby providing a scientific basis for improving the storage environment and optimizing transportation conditions, ensuring that medical beauty products remain stable throughout the logistics process and extending their effective use period.

[0051] Preferably, step S235 includes the following steps:

[0052] Based on the transportation and storage temperature fluctuation data of medical beauty products, the transportation and storage overload temperature is calculated to obtain the transportation and storage overload temperature data;

[0053] The damage probability of the packaging containers of medical beauty products is calculated based on the overload temperature data of medical beauty products, thereby obtaining the damage probability data of the packaging of medical beauty products;

[0054] Conduct a test on the sealing degradation of medical beauty product packaging based on the probability data of medical beauty product packaging damage, thereby obtaining the sealing degradation data of medical beauty product packaging;

[0055] According to the humidity data of the transportation and storage environment of medical beauty products and the data on the decrease in the sealing performance of the medical beauty product packaging, the probability of the medical beauty products being affected by moisture is calculated for the stability data of the finished products of the medical beauty products, and the probability data of the medical beauty products being affected by moisture is obtained;

[0056] Based on the transportation and storage overload temperature data and ultraviolet radiation intensity data, the stability data of finished medical beauty products are used to estimate the oxidative decomposition trend of the ingredients of medical beauty products, and obtain the oxidative decomposition trend data of the ingredients of medical beauty products;

[0057] Based on the oxidative decomposition trend data of medical beauty product ingredients and the probability data of medical beauty product being affected by moisture, the deterioration trend of medical beauty products is estimated to obtain the deterioration trend data of medical beauty products.

[0058] The present invention calculates the overload temperature of the temperature fluctuation data during transportation and storage, evaluates the potential impact of extreme temperature fluctuations on the packaging of medical beauty products, and helps to timely discover the excessive temperature during transportation. This data further supports the calculation of the probability of damage to the packaging container of medical beauty products, reveals the risk of packaging damage, and optimizes the transportation and storage environment to reduce the probability of packaging damage. When the probability of packaging damage increases, the sealing of the packaging will also decrease, which will trigger further testing of medical beauty products. By evaluating the data of decreased packaging sealing, early warning of risks. The combination of humidity data and packaging sealing decrease data helps to predict the probability of medical beauty products getting damp, which is crucial to maintaining the quality of medical beauty products. By accurately calculating the probability of medical beauty products getting damp, additional protective measures are provided for the products. At the same time, temperature overload data and ultraviolet radiation intensity data estimate the oxidative decomposition trend of medical beauty product ingredients, which helps to predict the oxidative changes of ingredients and guide the adjustment of packaging and storage plans. By aggregating all data, it is possible to predict the deterioration trend of medical beauty products during transportation and storage, and ensure the quality and stability of products in the entire logistics link.

[0059] Preferably, step S3 comprises the following steps:

[0060] Step S31: Calculate the probability of microbial infection based on the transportation and storage data of medical beauty products to obtain the probability data of microbial infection of medical beauty products;

[0061] Step S32: estimating the growth of the total amount of endotoxins in medical beauty products based on the probability data of microbial infection in medical beauty products, and obtaining the growth data of the total amount of endotoxins in medical beauty products;

[0062] Step S33: performing an acidity and alkalinity change trend analysis of medical beauty products according to the expiration data of medical beauty product ingredients to obtain acidity and alkalinity change trend data of medical beauty products;

[0063] Step S34: performing an irritation growth test on medical beauty products based on the microbial infection probability data of medical beauty products, the total endotoxin growth data of medical beauty products, and the acidity and alkalinity change trend data of medical beauty products to obtain irritation growth data on medical beauty products;

[0064] Step S35: collecting the concentration of the water phase of the medical beauty products according to the stability data of the finished products of the medical beauty products, and obtaining the concentration data of the water phase of the medical beauty products;

[0065] Step S36: Calculate the solute concentration of the water phase layer of the medical beauty product according to the stratified water phase concentration data of the medical beauty product to obtain the solute concentration data of the water phase layer of the medical beauty product;

[0066] Step S37: analyzing the growth trend of the osmotic pressure of the water phase layer based on the solute concentration data of the water phase layer of the medical beauty product and the stratified water phase concentration data of the medical beauty product to obtain the growth trend data of the osmotic pressure of the water phase layer;

[0067] Step S38: The safety of medical beauty products is estimated based on the osmotic pressure growth trend data of the water phase layer and the irritation growth data of medical beauty products to obtain the safety data of medical beauty products.

[0068] The present invention aims at the transportation and storage process of medical beauty products. By calculating the probability of microbial infection, it effectively predicts and prevents microbial contamination problems, reflects the degree of microbial contamination of products, and measures the fungal contamination of products, which is crucial to ensuring the hygiene and safety of products. By evaluating the relationship between microbial infection and the total amount of endotoxins, the growth trend of endotoxins can be predicted in advance, so as to take appropriate prevention and control measures to prevent the potential harm of endotoxins to the skin. At the same time, the analysis of the trend of acid-base changes helps to reveal the failure of ingredients that occur during the storage process of the product, which is crucial to ensure the stability and effect of the product during use. By combining microbial infection, endotoxin growth and acid-base changes with irritation growth data, a more comprehensive assessment of product safety is provided. The presence of pathogenic microorganisms such as Staphylococcus aureus, Pseudomonas aeruginosa and hemolytic Streptococcus is reduced, and the adverse consequences of these pathogens causing skin infections, inflammation, etc. are reduced. This comprehensive analysis helps to discover the adverse reactions produced by the product, thereby guiding the optimization and improvement of the product and improving the market competitiveness of the product. The collection of stratified water phase concentration and the calculation of solute concentration in the water phase layer help to further analyze the physical stability of the product, especially for those formulations containing different phases such as water and oil. The stratification phenomenon can be detected, thereby providing valuable feedback on the overall stability of the product. Based on the analysis of the osmotic pressure growth trend, the impact of stratification and solute concentration changes on osmotic pressure is revealed, which is of great significance for evaluating the adaptability and stability of the product under different environmental conditions. Finally, by combining these osmotic pressure data with the data on irritation growth for safety estimation, a comprehensive safety assessment can be conducted before the product enters the market, reducing the occurrence of adverse reactions and ensuring safe use.

[0069] The present invention also provides a medical beauty product quality traceability system based on the Internet of Things, which is used to execute the medical beauty product quality traceability method based on the Internet of Things as described above. The medical beauty product quality traceability system based on the Internet of Things includes:

[0070] Raw material characteristics analysis module: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products;

[0071] Medical beauty product ingredient failure detection module: Perform stability analysis on finished medical beauty products based on raw material property data to obtain finished medical beauty product stability data; perform transportation and storage detection on medical beauty products based on full-process traceability data to obtain transportation and storage data on medical beauty products; perform ingredient failure detection on finished medical beauty product stability data based on transportation and storage data on medical beauty products to obtain ingredient failure data on medical beauty products;

[0072] Medical beauty product stimulant growth detection module: perform stimulant growth detection on medical beauty products based on the transportation and storage data of medical beauty products and the expiration data of medical beauty product ingredients to obtain stimulant growth data on medical beauty products; estimate the safety of medical beauty products based on the stability data of finished products of medical beauty products and the stimulant growth data of medical beauty products to obtain the safety data of medical beauty products;

[0073] Medical beauty product full-process management module: Based on the medical beauty product stimulus growth data and the medical beauty product usage safety data, the production and storage anomaly analysis of medical beauty products is performed to obtain the medical beauty product production and storage anomaly data; the full-process traceability data of medical beauty products is used to manage the medical beauty products in the whole process according to the medical beauty product production and storage anomaly data to obtain the medical beauty product full-process management data.

[0074] The present invention is that the quality traceability method of medical beauty products based on the Internet of Things can effectively improve the comprehensiveness and accuracy of product quality management through real-time monitoring and data collection. Through the collection of full-process traceability data, it is ensured that the raw material source, production process and transportation and storage conditions of each batch of medical beauty products are clearly recorded, thereby providing higher transparency for enterprises and consumers. This method can identify factors affecting product stability, such as the solubility and chemical properties of raw materials, by analyzing the source and characteristics of raw materials, so as to achieve preventive quality control and reduce the instability of finished products caused by raw material quality problems. The finished product stability analysis of medical beauty products can further reveal the performance of products under different environmental conditions, ensuring that they will not be negatively affected by external factors such as temperature and humidity during transportation and storage, thereby reducing the risk of deterioration. At the same time, the application of the Internet of Things enables real-time feedback of data during transportation, which is very important for timely discovering the deterioration or failure trend of finished products, helping enterprises to take countermeasures and avoid unqualified products from entering the market. By analyzing the component failure data, the Internet of Things platform detects the transportation and storage process in real time, and effectively monitors whether the product meets the specified environmental requirements during transportation and storage. By combining transportation and storage data with ingredient failure data, environmental factors that lead to ingredient failure, such as abnormal temperature and humidity, can be detected in a timely manner to avoid quality problems caused by unqualified external environment during product circulation. In addition, through the detection of irritant growth, it is possible to identify the changing trend of products during transportation and storage, and to provide early warning of risk factors that lead to irritant reactions, further ensuring the safety of consumers. Through production and storage anomaly analysis, it is possible to identify unqualified links in the production and storage process, and provide timely feedback to the production management level for adjustment and optimization. Combined with the traceability data of the entire process, further effective quality control can be carried out to avoid the recurrence of similar problems and form a comprehensive management of the entire process of medical beauty products. Ensure that medical beauty products reach the sterility assurance level (SAL), that is, the probability of microbial survival after sterilization of the product and packaging. Generally, the SAL is required to reach 10^{-6}. Therefore, the present invention is an optimization of a traditional medical beauty product quality traceability method based on the Internet of Things, which solves the problem of inaccurate analysis of the characteristics of raw materials of medical beauty products and inaccurate analysis of the probability of oxidation during transportation, storage and other processes of medical beauty products in the traditional quality traceability method of medical beauty products based on the Internet of Things, and improves the accuracy of the analysis of the characteristics of raw materials of medical beauty products and the accuracy of the analysis of the probability of oxidation during transportation, storage and other processes of medical beauty products. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 The figure is a flowchart of a method for tracing the quality of medical and aesthetic products based on the Internet of Things;

[0076] Figure 2 for Figure 1Detailed implementation steps of step S2 in the flowchart;

[0077] Figure 3 for Figure 1 Detailed implementation steps of step S23;

[0078] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0079] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0080] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities are implemented in software form, or in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0081] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0082] To achieve this, please refer to Figures 1 to 3 , a quality traceability method for medical beauty products based on the Internet of Things, comprising the following steps:

[0083] Step S1: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products;

[0084] Step S2: Performing stability analysis on finished medical beauty products based on raw material property data of medical beauty products to obtain finished medical beauty product stability data; performing transportation and storage testing on medical beauty products based on full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products; performing component failure testing on finished medical beauty product stability data based on transportation and storage data of medical beauty products to obtain component failure data of medical beauty products;

[0085] Step S3: Perform a stimulating growth test on medical beauty products based on the transportation and storage data of medical beauty products and the expiration data of medical beauty product ingredients to obtain stimulating growth data on medical beauty products; perform a safety estimation on the use of medical beauty products based on the stability data of finished medical beauty products and the stimulating growth data on medical beauty products to obtain safety data on the use of medical beauty products;

[0086] Step S4: Based on the stimulation growth data of medical beauty products and the safety data of medical beauty products, the production and storage anomalies of medical beauty products are analyzed to obtain the production and storage anomalies data of medical beauty products; the whole process of medical beauty products is managed based on the whole process traceability data of medical beauty products according to the production and storage anomalies data of medical beauty products to obtain the whole process management data of medical beauty products.

[0087] In the embodiment of the present invention, reference Figure 1 As shown, it is a schematic diagram of the steps of a method for tracing the quality of medical beauty products based on the Internet of Things of the present invention. In this example, the method for tracing the quality of medical beauty products based on the Internet of Things includes the following steps:

[0088] Step S1: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products;

[0089] In the embodiment of the present invention, sensors, RFID tags and intelligent devices deployed on the production line of medical beauty products through the Internet of Things technology collect data related to the raw materials, production process, processing time, batches, etc. of medical beauty products in real time. These devices transmit the data to the central server for storage and processing, thereby forming traceability data for the entire process of medical beauty products. Based on the traceability data, the system further collects the source of raw materials for medical beauty products, obtains information such as production, procurement, and inspection records of each batch of raw materials, and analyzes the characteristics of raw materials based on the source data of raw materials. For example, the raw materials are analyzed by a chemical composition analyzer (such as a gas chromatograph, a mass spectrometer, etc.) to obtain parameters such as the chemical composition, solubility, molecular structure, purity, etc. of the raw materials of medical beauty products, thereby obtaining detailed characteristic data of the raw materials of medical beauty products.

[0090] Step S2: Performing stability analysis on finished medical beauty products based on raw material property data of medical beauty products to obtain finished medical beauty product stability data; performing transportation and storage testing on medical beauty products based on full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products; performing component failure testing on finished medical beauty product stability data based on transportation and storage data of medical beauty products to obtain component failure data of medical beauty products;

[0091] In an embodiment of the present invention, after obtaining the raw material characteristic data of medical beauty products, the system analyzes the stability of the finished products of medical beauty products based on the existing data model. This process predicts the long-term stability of the finished products by simulating the storage environment and production conditions of medical beauty products under different conditions, such as temperature, humidity, light, etc. At this time, tools such as constant temperature and humidity chambers and ultraviolet light irradiation equipment are used for environmental simulation, and corresponding environmental data are collected through sensors. In addition, the real-time environmental data of medical beauty products during transportation is collected through the Internet of Things platform, mainly including information such as temperature, humidity, and light intensity, and the status data during transportation is obtained in combination with transmission tools (such as smart tags, GPS positioning, etc.), thereby obtaining the transportation and storage data of medical beauty products. Through data analysis, combined with the stability data of finished products of medical beauty products, the system detects the failure trend of the ingredients of medical beauty products, obtains the failure data of the ingredients of medical beauty products, and identifies the risk factors that lead to the failure of the ingredients.

[0092] Step S3: Perform a stimulating growth test on medical beauty products based on the transportation and storage data of medical beauty products and the expiration data of medical beauty product ingredients to obtain stimulating growth data on medical beauty products; perform a safety estimation on the use of medical beauty products based on the stability data of finished medical beauty products and the stimulating growth data on medical beauty products to obtain safety data on the use of medical beauty products;

[0093] In an embodiment of the present invention, irritation growth detection is performed by analyzing the transportation and storage data and component failure data of medical beauty products. Storage conditions, such as temperature, humidity, light and other environmental parameters, are collected in real time through IoT sensors, and a irritation growth model is established in combination with historical data to analyze the impact of different environmental factors on product component changes. For example, under high temperature conditions, the chemical components in certain medical beauty products decompose to produce irritating substances. By cross-analyzing these data, risk factors are identified and data on the growth of irritating components are obtained. At this time, the sensor and the IoT platform monitor and update the component failure data in real time, including chemical component concentration, pH value, redox reaction, etc. Based on these data, irritating substances are detected, and the irritation growth trend of the product under different storage conditions is obtained through laboratory analysis and simulation tests. These data are helpful in determining whether the product has safety hazards caused by component failure, evaluating the probability of its irritating reaction, and further calculating the safety of the product.

[0094] Step S4: Based on the stimulation growth data of medical beauty products and the safety data of medical beauty products, the production and storage anomalies of medical beauty products are analyzed to obtain the production and storage anomalies data of medical beauty products; the whole process of medical beauty products is managed based on the whole process traceability data of medical beauty products according to the production and storage anomalies data of medical beauty products to obtain the whole process management data of medical beauty products.

[0095] In the embodiment of the present invention, based on the irritation growth data and use safety data of medical beauty products, production and storage abnormality analysis is performed, and the irritation growth data and use safety data obtained in the previous step are combined to perform statistical analysis to identify abnormal links in the production or storage process. If abnormal growth of irritating ingredients is found in certain production batches, and such changes are related to storage conditions (such as excessive temperature or humidity), the system will automatically mark and report abnormalities. By analyzing these data, potential problems in production or storage are identified, such as equipment failure, abnormal temperature control, unqualified production environment and other factors. Then, by tracing back the abnormal data, it is determined whether any link is affected, resulting in a wider range of quality problems. The system performs full-process traceability management through the Internet of Things platform, integrates all relevant data of production, transportation, and storage, and promptly feeds back to the production end to ensure that abnormal situations are effectively handled. The obtained production and storage abnormal data will be incorporated into the full-process management system to uniformly manage and optimize all data.

[0096] Preferably, step S1 comprises the following steps:

[0097] Step S11: tracing the entire process of medical beauty products based on the Internet of Things to obtain tracing data of the entire process of medical beauty products;

[0098] Step S12: collecting the sources of raw materials for medical beauty products according to the full-process traceability data of medical beauty products to obtain the source data of raw materials for medical beauty products;

[0099] Step S13: performing chemical property analysis of raw materials of medical beauty products according to the raw material source data of medical beauty products to obtain chemical property data of raw materials of medical beauty products;

[0100] Step S14: Calculate the probability of raw material microbial contamination based on the raw material source data and the raw material chemical property data of medical beauty products to obtain raw material microbial contamination probability data;

[0101] Step S15: Analyze the raw material characteristics based on the raw material microbial contamination probability data and the chemical property data of the medical beauty products to obtain the raw material characteristic data of the medical beauty products.

[0102] In the embodiment of the present invention, in the production process of medical beauty products, the Internet of Things technology deploys intelligent sensors, RFID tags, embedded chips and other devices to monitor and record the data of each production link in real time, including environmental factors such as time, temperature, humidity, pressure, etc. in each stage of raw material procurement, production process, packaging, transportation, etc. Sensors and tags send data to the central server through wireless communication technology (such as Wi-Fi, LoRa, 5G, etc.) and store them in the database. The entire production chain of medical beauty products is recorded in real time from raw material collection, production and manufacturing, packaging to transportation, forming the whole process traceability data of medical beauty products. By collating and summarizing these data, it is ensured that the production and circulation of each batch of products can be traced back to the source, and a complete traceability system is built. According to the whole process traceability data of medical beauty products, the system extracts the raw material information related to each batch of medical beauty products. The formula and source of each batch of raw materials are recorded and tracked by the Internet of Things equipment. For example, the production batch number, supplier information, transportation route and other data of the raw materials are recorded by RFID tags. The production place, supplier information and batch information of each raw material are accurately recorded and managed in the database. Using intelligent collection terminals or barcode scanning devices, record each flow of raw materials, including the transportation process from suppliers to factories, warehouse management, etc. The collected data not only includes basic information such as quantity, batch, purchase order number, etc., but also covers temperature and humidity change data during transportation. After obtaining the source data of raw materials for medical beauty products, the system relies on a series of chemical analysis instruments to conduct detailed chemical property analysis of the raw materials. For example, gas chromatographs (GC) and liquid chromatographs (HPLC) are used to analyze the organic compound components in raw materials, mass spectrometers (MS) are used to analyze molecular mass and structure, and infrared spectrometers (FTIR) are used to characterize the molecular vibration of raw materials. In addition, acid-base titration and pH meters are used to detect the acidity and alkalinity of raw materials to determine whether they meet the requirements of medical beauty product formulas. All these chemical property data are automatically collected and stored by the system to generate chemical property data files containing information such as raw material molecular structure, solubility, and stability. Based on the source data of raw materials for medical beauty products and the chemical property data of raw materials for medical beauty products, the system uses mathematical models to calculate the probability of microbial contamination of raw materials. By analyzing the source information of raw materials (such as production site, transportation conditions, storage environment, etc.), combined with chemical property data (such as moisture content, pH value, oxidative stability, etc.), the risk of microbial contamination of each raw material is evaluated. For example, raw materials with high moisture content are prone to microbial growth, and environments with acidic or alkaline pH values ​​also lead to the growth of different types of microorganisms. Use biological and statistical models combined with historical data to evaluate the probability of microbial contamination of raw materials. By setting thresholds, determine which raw materials have a higher risk of contamination. By combining the microbial contamination probability data and chemical property data of raw materials, perform raw material characteristics analysis.This process evaluates the comprehensive performance of raw materials by establishing a comprehensive model that integrates chemical properties (such as oxidation stability, solubility, acidity and alkalinity, etc.) and the probability of microbial contamination (such as the contamination risk obtained through the above calculation). By analyzing the antiseptic, antioxidant capacity, stability and other characteristics of raw materials, their adaptability for application in finished medical and aesthetic products is evaluated. During the analysis, chemical and biological analytical instruments (such as redox potential meters and microbial growth detection equipment) are used to test the stability and microbial resistance of raw materials. All experimental data are recorded and entered into the database, and these data are weighted by algorithms to obtain raw material characteristic data.

[0103] Preferably, step S13 comprises the following steps:

[0104] Step S131: Performing raw material chemical composition testing on raw material source data of medical beauty products to obtain chemical composition data of raw materials of medical beauty products;

[0105] Step S132: performing oxidation stability analysis on the raw materials according to the chemical composition data of the raw materials of the medical beauty products to obtain oxidation stability data of the raw materials of the medical beauty products;

[0106] Step S133: collecting the acidity and alkalinity of the raw materials according to the raw material sensor data of the medical beauty products to obtain the acidity and alkalinity data of the raw materials of the medical beauty products;

[0107] Step S134: Perform chemical property analysis on the raw materials of medical beauty products based on the acidity and alkalinity data of the raw materials of medical beauty products and the oxidative stability data of the raw materials of medical beauty products to obtain the chemical property data of the raw materials of medical beauty products.

[0108] In the embodiment of the present invention, in the production process of medical beauty products, the chemical composition of the raw materials of medical beauty products is a key factor in ensuring product quality. The manufacturers of medical beauty products use instruments such as high performance liquid chromatography (HPLC), gas chromatograph (GC), mass spectrometer (MS), infrared spectrometer (FTIR) to conduct detailed analysis of raw material samples. The specific operation is that after taking the sample, it is treated with a chemical solvent (such as dissolving, diluting or filtering) so that the analytical instrument can detect the components in the sample. HPLC is used to analyze the components of organic compounds, GC is used to detect volatile components, MS is used to analyze the mass and structure of complex molecules, and FTIR is used to identify chemical bonds and functional groups in molecules. All experimental data are transmitted and stored in the database in real time through the data acquisition system to form detailed chemical composition data. According to the chemical composition data of the raw materials of medical beauty products, the system uses a special oxidation stability analysis method to evaluate the stability of raw materials under different environmental conditions, exposes samples of raw materials of medical beauty products to different temperature, humidity, and light conditions, and uses an oxidation-reduction potential (ORP) sensor to monitor the oxidation reaction in the raw materials. By testing the changes in the redox potential of raw materials under different conditions, its oxidation stability can be effectively understood. In this process, a differential scanning calorimeter (DSC) is used to analyze whether the raw materials will undergo oxidation reactions during heating, and to record their thermal stability and oxidation reaction rate. By combining electrochemical analysis and thermal analysis data, the system obtains the oxidation stability data of the raw materials and evaluates the stability of the raw materials during long-term storage and use. The acidity and alkalinity of the raw materials of medical beauty products is one of the important factors affecting their performance and safety. In order to obtain accurate acidity and alkalinity data, during the production of medical beauty products, the pH sensor is used to monitor the pH of the raw materials in real time during the collection stage of the raw materials. The specific operation is to use a high-precision pH meter or an online pH sensor to measure the acidity and alkalinity of the raw materials directly at the raw material collection point. The sensor converts the pH value into an electrical signal based on the electrode reaction and uploads it to the data center in real time through a wireless communication system. For some liquid raw materials, an electrode pH meter is used for manual or automatic measurement to ensure that the pH value of the raw materials is within the set range in different batches and under different production conditions. All acidity and alkalinity data are recorded, stored and statistically analyzed. After obtaining the acidity and alkalinity data and oxidative stability data of raw materials for medical beauty products, the system uses multivariate analysis methods such as principal component analysis (PCA) and regression analysis to establish a relationship model between acidity and alkalinity and oxidative stability. Through this model, the acidity and alkalinity and oxidative stability data of different raw materials are combined to judge their chemical stability and compatibility with raw materials. For raw materials with strong acidity and alkalinity or poor oxidative stability, the system automatically marks them as high-risk raw materials, reminding the production team to conduct further inspections.Specifically, two sets of data are analyzed using specialized chemical analysis software to generate a chemical property analysis report. This report includes not only the chemical stability assessment of the raw materials, but also the analysis of potential factors that lead to unstable reactions or chemical changes. These data form the chemical property data of raw materials for medical beauty products.

[0109] Preferably, step S14 comprises the following steps:

[0110] Step S141: predicting the attenuation of antiseptic ability based on the chemical property data of raw materials of medical beauty products to obtain the attenuation data of the antiseptic ability of raw materials;

[0111] Step S142: Perform raw material nutrient testing based on raw material source data of medical beauty products to obtain raw material nutrient data of medical beauty products;

[0112] Step S143: evaluating the microbial growth environment according to the nutrient data of the raw materials of medical beauty products to obtain the microbial growth environment data of the raw materials;

[0113] Step S144: performing an estimation of the reduction of microbial inhibition ability of the raw material microbial growth environment data according to the raw material antiseptic ability reduction data to obtain microbial inhibition ability reduction data;

[0114] Step S145: Calculate the raw material microbial contamination probability based on the microbial inhibition capacity reduction data and the raw material microbial growth environment data to obtain the raw material microbial contamination probability data.

[0115] In an embodiment of the present invention, the chemical property data of the raw materials of medical and cosmetic products are collected, especially the indicators related to the antiseptic ability, such as antioxidant performance, antibacterial performance, antifungal performance, etc. In the implementation process of the attenuation prediction of the antiseptic ability, the attenuation model based on chemical properties is established to evaluate the change of the antiseptic ability of the raw materials over time and environmental conditions. Specifically, an accelerated aging experiment is adopted to expose the raw materials under controlled conditions (such as high temperature, humidity, light, etc.) and regularly detect their antiseptic performance. For example, by measuring the concentration change of the preservative components in the raw materials, the microbial inhibition effect and other parameters, the sensor is used to monitor the change of the preservative activity in real time. The data is transmitted through an automated data acquisition system for analysis and prediction to obtain the antiseptic ability attenuation data of the raw materials. The nutrient content of the raw materials has an important influence on the quality of medical and cosmetic products. Therefore, it is necessary to detect the nutrients in the raw materials, collect samples of the raw materials of medical and cosmetic products, and use high performance liquid chromatography (HPLC), mass spectrometry (MS) and other technologies to analyze the nutrients in the samples, including vitamins, amino acids, fatty acids, minerals, etc. Water-soluble vitamins (such as vitamin C and B vitamins) were detected by HPLC, fat-soluble vitamins and complex compounds were analyzed by mass spectrometry, fatty acids were analyzed by gas chromatography, and mineral content was detected by atomic absorption spectroscopy (AAS). During the analysis, standard substances were used to calibrate the instrument to ensure the accuracy of the measurement results, and the data of various nutrients were summarized and recorded in the database. Based on the nutrient data of raw materials of medical beauty products, the microbial growth environment was evaluated. The nutrients in the raw materials provide the nutrient source required for the growth of microorganisms, so it is necessary to evaluate the effects of these substances on the growth of microorganisms. To this end, representative microorganisms (such as bacteria, fungi, etc.) were selected, and the culture media of different raw materials were simulated in the laboratory environment to observe the growth of microorganisms under different nutrients. The specific operation is to use the culture medium to culture microorganisms under different temperature, pH and humidity conditions and regularly measure their growth rate, quantity changes and other indicators. Combined with the various nutrients in the raw materials, it is analyzed whether it provides a suitable growth environment for microorganisms to generate raw material microbial growth environment data. After obtaining the data on the attenuation of the raw material's preservative ability and the microbial growth environment, the weakening of the microbial inhibition ability is estimated. By analyzing the relationship between the attenuation rate of the raw material preservative and the microbial growth environment, the effect of the change in preservative ability over time on microbial growth is evaluated. The chemical kinetic model is used to simulate the preservative attenuation process, and combined with the microbial growth environment data, the changes in the microbial inhibition effect of the preservative under different storage environments are obtained. Sensors are used to monitor the preservative concentration and microbial growth status in real time, and a relationship curve between the preservative concentration and the antibacterial effect is established. Combined with the attenuation model, the changing trend of the preservative's inhibition ability under specific conditions is estimated to obtain data on the weakening of the microbial inhibition ability.Based on the data of the weakening of microbial inhibition ability and the data of the microbial growth environment of raw materials, the probability of microbial contamination of raw materials is calculated. Combined with the evaluation results of the attenuation of antiseptic ability and the microbial growth environment, the risk of microbial contamination of raw materials under different conditions is calculated through a probability model. This step establishes a multi-factor mathematical model that comprehensively considers factors such as antiseptic ability, nutritional components, temperature and humidity, and uses statistical methods (such as regression analysis, Monte Carlo simulation, etc.) to calculate the probability of microbial contamination. The accuracy of the model is verified by experimental data, and the probability data of microbial contamination of each raw material under different production and storage environments are obtained.

[0116] Preferably, step S2 comprises the following steps:

[0117] Step S21: performing stability analysis on finished medical beauty products according to raw material property data of medical beauty products to obtain stability data of finished medical beauty products;

[0118] Step S22: Perform transportation and storage testing of medical beauty products according to the full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products;

[0119] Step S23: estimating the deterioration trend of the medical beauty products based on the finished product stability data of the medical beauty products according to the transportation and storage environment data of the medical beauty products, and obtaining deterioration trend data of the medical beauty products;

[0120] Step S24: Perform failure detection of medical beauty product ingredients based on the medical beauty product deterioration trend data to obtain failure data of medical beauty product ingredients.

[0121] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes:

[0122] Step S21: performing stability analysis on finished medical beauty products according to raw material property data of medical beauty products to obtain stability data of finished medical beauty products;

[0123] In the embodiment of the present invention, the stability of the finished medical beauty products is an important indicator for measuring product quality. The characteristic data of the raw materials of the medical beauty products are collected, including the chemical composition, physical properties, acidity and alkalinity, antioxidant capacity, etc. of the raw materials. Then, the stability of the finished medical beauty products under different storage conditions is analyzed by laboratory tests and simulated environmental experiments. Through accelerated aging experiments of environmental variables such as high temperature, humidity, and light, the appearance changes, odor changes, viscosity changes and other indicators of the finished medical beauty products in different time periods are monitored. Sensors are used to detect the pH value, color changes, component distribution, etc. of the finished products in real time, and chemical analysis methods (such as HPLC, GC-MS, etc.) are combined to detect changes in components and evaluate the stability of the finished products. The stability data of the finished medical beauty products is generated based on the experimental data to reflect the stability of the products under different environments.

[0124] Step S22: Perform transportation and storage testing of medical beauty products according to the full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products;

[0125] In the embodiment of the present invention, the transportation and storage conditions of medical beauty products have an important impact on the quality of the products. Through the Internet of Things technology and sensor networks, the environmental data during the transportation and storage of medical beauty products, including temperature, humidity, vibration, light, etc., are collected in real time. These data are continuously recorded by sensors during transportation to ensure that the environmental conditions during transportation meet the standard requirements. By integrating with the traceability data of the entire process of medical beauty products (such as production batches, storage locations, etc.), each batch of medical beauty products is monitored in real time to ensure that the data during transportation and storage are consistent with the preset standards. The transportation and storage data collected by the sensor will be uploaded to the cloud platform and compared with the information in the database to further analyze its impact on the quality of medical beauty products and generate transportation and storage data for medical beauty products.

[0126] Step S23: estimating the deterioration trend of the medical beauty products based on the finished product stability data of the medical beauty products according to the transportation and storage environment data of the medical beauty products, and obtaining deterioration trend data of the medical beauty products;

[0127] In an embodiment of the present invention, the deterioration trend is estimated based on the transportation and storage data of medical beauty products, combined with the stability data of the finished products of medical beauty products. By establishing a mathematical model, combined with the environmental data of transportation and storage (such as temperature, humidity, lighting conditions, etc.), the impact of these factors on the stability of the finished product is analyzed. For example, through climate control simulation, it is analyzed how excessive temperature or humidity will accelerate the oxidation, decomposition or deterioration of the ingredients of medical beauty products. Sensor data is used to collect product changes in real time, such as changes in pH value, decrease in ingredient concentration, etc., and a prediction model is established based on historical data to estimate the deterioration trend of medical beauty products under different environmental conditions. Through regression analysis, time series prediction and other methods, the trend data of deterioration of medical beauty products is obtained.

[0128] Step S24: Perform failure detection of medical beauty product ingredients based on the medical beauty product deterioration trend data to obtain failure data of medical beauty product ingredients.

[0129] In the embodiment of the present invention, by analyzing the deterioration trend data of medical beauty products, component failure detection is further performed, and based on the known components of medical beauty products (such as preservatives, active ingredients, fragrances, etc.) and deterioration trend data, experiments are designed to perform failure detection. Through laboratory analysis techniques, such as high performance liquid chromatography (HPLC), gas chromatography (GC), mass spectrometry (MS), etc., each key component in the finished product of medical beauty products is regularly sampled and tested to observe the concentration changes of the components. By comparing with the initial formula data, the failure of the components is identified, such as the failure of preservatives and the decrease in the concentration of active ingredients. During the detection process, spectral analysis technology is also combined to monitor the physical changes of medical beauty products (such as color, odor changes, etc.). All test results are summarized as the failure data of medical beauty product components.

[0130] Preferably, step S21 includes the following steps:

[0131] Step S211: obtaining blending formula data of medical beauty products; performing raw material solubility testing according to raw material characteristic data of medical beauty products to obtain raw material solubility data of medical beauty products;

[0132] Step S212: performing stratification probability calculation of medical beauty products on the solubility data of raw materials of medical beauty products to obtain stratification probability data of medical beauty products;

[0133] Step S213: Calculate the stratification speed of medical beauty products based on the raw material blending low solubility data and the stratification probability data of medical beauty products to obtain the stratification speed data of medical beauty products;

[0134] Step S214: performing an estimation of incomplete emulsification of medical beauty products according to the stratification speed data of medical beauty products and the stratification probability data of medical beauty products to obtain incomplete emulsification data of medical beauty products;

[0135] Step S215: evaluating the antioxidant capacity of the medical beauty products according to the blending formula data of the medical beauty products and the raw material property data of the medical beauty products, and obtaining the antioxidant capacity data of the medical beauty products;

[0136] Step S216: Evaluate the stability of the finished medical beauty products according to the antioxidant capacity data of the medical beauty products and the incomplete emulsification data of the medical beauty products to obtain the stability data of the finished medical beauty products.

[0137] In an embodiment of the present invention, the blending formula data of medical beauty products generally includes the proportion, type and mixing method of various raw materials. Based on the existing product formula, the blending formula data of medical beauty products is obtained. Then, the raw material solubility test is performed in combination with the physical and chemical properties of the raw materials. This test is completed through a series of standardized experimental methods. For example, under the conditions of controlling temperature and pH value, the raw materials are dissolved in the solvent using a stirring device or an ultrasonic cleaner, and the solubility is measured by a turbidity sensor and an optical detection device (such as a spectrophotometer). For each raw material, it is measured according to the prescribed standard solubility (such as mg / L), and the solubility data of the raw material is recorded and generated. After obtaining the solubility data of the raw materials of medical beauty products, the stratification probability of medical beauty products is calculated based on the solubility difference. According to the distribution of raw materials with different solubilities in medical beauty products, the stratification probability of the components after mixing of medical beauty products is calculated using statistical analysis methods (such as Bayesian inference or regression analysis). The formation of stratification is usually related to solubility heterogeneity, and raw materials with high solubility and low solubility will cause physical stratification. By quantifying the difference in solubility of different raw materials in the formula, the probability of occurrence of each layer is calculated. This step calculates the solubility data of raw materials in the existing medical beauty product formulas to obtain a stratification probability data based on solubility differences. After obtaining the low solubility data and stratification probability data of the raw materials of medical beauty products, the stratification speed of medical beauty products is calculated based on these data, and the dissolution rate and stratification speed of different raw materials are measured by experimental means such as rheological tests and vibration tests. By combining the stratification probability data with the solubility difference data, a mathematical model (such as a diffusion model or Fick's law) is used to calculate the stratification speed of medical beauty products under different storage conditions. During the experiment, the stratification phenomenon of the product under static or oscillating conditions is continuously monitored, the time course of stratification is recorded, and the stratification speed data is obtained by data fitting. Based on the stratification speed data and stratification probability data of medical beauty products obtained in the previous step, an estimate of incomplete emulsification is made. Incomplete emulsification is usually closely related to the stratification phenomenon in the formula, and the solubility difference of the raw materials directly affects the emulsification effect. Through experiments and simulations, the particle size of the emulsion is monitored using an emulsification index and a particle size analyzer (such as a dynamic light scattering instrument DLS) to evaluate whether the emulsification process is sufficient. By calculating the speed and probability of stratification, combined with the raw material data during the emulsification process, it is estimated whether medical beauty products will have incomplete emulsification and obtain the data of incomplete emulsification. In the evaluation of the antioxidant capacity of medical beauty products, the blending formula data of medical beauty products are collected, including the type, content and antioxidant components of each raw material (such as vitamin C, vitamin E, etc.). Then, combined with the chemical properties of the raw materials of medical beauty products (such as the stability and molecular structure of antioxidants, etc.), a simulated accelerated oxidation experiment is used to evaluate the antioxidant capacity.The specific method is to place the medical beauty products under specific temperature and humidity conditions, and use oxygen consumption meters, UV-visible spectrophotometers and other equipment to test their oxidation changes within a specific time. By comparing the inhibitory effects of different antioxidant ingredients on the oxidation process, the antioxidant capacity data of medical beauty products is calculated and generated. Based on the antioxidant capacity data and incomplete emulsification data of medical beauty products, the stability of the finished medical beauty products is evaluated. This evaluation combines the antioxidant properties and emulsification effects of medical beauty products, analyzes their performance under actual storage conditions, and tests their appearance changes, odor, viscosity and ingredient stability by storing medical beauty products in different environments (such as high temperature and high humidity environments). Combined with the estimated data of incomplete emulsification and the data of antioxidant capacity, a multi-factor analysis method is used to obtain the stability evaluation results. This data reveals the performance of medical beauty products in long-term storage, predicts their stability during use, and obtains the stability data of finished medical beauty products based on the evaluation data.

[0138] Preferably, step S23 includes the following steps:

[0139] Step S231: collecting the change of light intensity in the transportation and storage environment according to the transportation and storage data of medical beauty products to obtain the transportation and storage light intensity change data;

[0140] Step S232: Perform ultraviolet radiation intensity detection on the transport and storage light intensity change data to obtain ultraviolet radiation intensity data;

[0141] Step S233: collecting transportation and storage temperature fluctuation data according to the ultraviolet radiation intensity data and the transportation and storage light intensity change data, and obtaining transportation and storage temperature fluctuation data of medical beauty products;

[0142] Step S234: collecting the humidity of the transportation and storage environment based on the transportation and storage data of the medical beauty products to obtain the humidity data of the transportation and storage environment of the medical beauty products;

[0143] Step S235: Based on the medical beauty product transportation and storage temperature fluctuation data, ultraviolet radiation intensity data, and medical beauty product transportation and storage environment humidity data, the medical beauty product finished product stability data is used to estimate the medical beauty product deterioration trend to obtain the medical beauty product deterioration trend data.

[0144] As an example of the present invention, refer to Figure 3 As shown, in this example, step S23 includes:

[0145] Step S231: collecting the change of light intensity in the transportation and storage environment according to the transportation and storage data of medical beauty products to obtain the transportation and storage light intensity change data;

[0146] In an embodiment of the present invention, based on the transportation and storage data of medical beauty products, light sensors (such as photometers or light sensor modules) are used to monitor the light intensity during transportation and storage. These sensors are installed in transportation vehicles, warehouses or storage locations to collect light intensity data in real time. To ensure the accuracy of the data, the sensors are calibrated to standard lighting conditions and have different sensitivity ranges to adapt to different environmental conditions (for example, indoors and outdoors). The sensor collects light intensity data at regular intervals (such as every minute) and uploads the data to a database through wireless communication technology (such as Internet of Things technology) to obtain transportation and storage light intensity change data.

[0147] Step S232: Perform ultraviolet radiation intensity detection on the transport and storage light intensity change data to obtain ultraviolet radiation intensity data;

[0148] In the embodiment of the present invention, during the transportation and storage process, the ultraviolet radiation intensity of the light has a particularly important effect on medical beauty products. Therefore, it is necessary to further use an ultraviolet radiation sensor to detect the ultraviolet intensity. Ultraviolet radiation sensors such as UV spectrometers or ultraviolet radiation detectors can accurately detect the intensity of ultraviolet radiation by monitoring the wavelength of ultraviolet rays in the light. The sensor is installed at the storage or transportation location and works in conjunction with the light intensity sensor to perform band-by-band analysis on the collected light data and extract ultraviolet radiation intensity data. By collecting time series data, the changes in ultraviolet radiation intensity during transportation or storage are obtained.

[0149] Step S233: collecting transportation and storage temperature fluctuation data according to the ultraviolet radiation intensity data and the transportation and storage light intensity change data, and obtaining transportation and storage temperature fluctuation data of medical beauty products;

[0150] In the embodiments of the present invention, temperature has an important influence on the stability of medical beauty products, especially the interaction with ultraviolet radiation intensity and light intensity. Therefore, after collecting the ultraviolet radiation intensity data, temperature sensors (such as thermocouples, temperature recorders or infrared thermometers) should be further used to monitor the temperature fluctuations in the transportation and storage environments. These temperature sensors should be installed in key locations during transportation and in the storage environment, and can collect ambient temperature data in real time and record temperature changes in each period. The sampling frequency of the temperature sensor should be set to match the light intensity collection frequency so that the temperature fluctuations can be combined with the light intensity change data for analysis. Through continuous data collection, accurate temperature fluctuation data can be obtained.

[0151] Step S234: collecting the humidity of the transportation and storage environment based on the transportation and storage data of the medical beauty products to obtain the humidity data of the transportation and storage environment of the medical beauty products;

[0152] In the embodiments of the present invention, the humidity in the transportation and storage environment is one of the important factors affecting the stability of medical and aesthetic products, especially the hydration of certain ingredients that trigger chemical reactions or microbial growth. Therefore, a humidity sensor (such as a digital hygrometer or a humidity sensor module) is needed to monitor the humidity of the transportation and storage environment. The humidity sensor is installed in key locations such as warehouses and transport vehicles to record the relative humidity data of the environment in real time. The sensor collects data at regular intervals (for example, every hour) and uploads the data to the system through wireless transmission technology to form a complete record of humidity change data.

[0153] Step S235: Based on the medical beauty product transportation and storage temperature fluctuation data, ultraviolet radiation intensity data, and medical beauty product transportation and storage environment humidity data, the medical beauty product finished product stability data is used to estimate the medical beauty product deterioration trend to obtain the medical beauty product deterioration trend data.

[0154] In the embodiment of the present invention, the temperature fluctuation data, ultraviolet radiation intensity data and environmental humidity data collected during transportation and storage are integrated, and the deterioration trend of medical beauty products is estimated by using multivariate analysis methods. Through data cleaning and processing, invalid or abnormal data are removed to ensure the accuracy of the data. Then, regression analysis, time series analysis and other methods are used to establish a prediction model for the deterioration of medical beauty products. The model can comprehensively consider the effects of factors such as temperature, humidity and ultraviolet radiation on the stability of medical beauty products. By comparing the stability changes of medical beauty products under different storage conditions, the deterioration trend data of medical beauty products under different environmental conditions are obtained.

[0155] Preferably, step S235 includes the following steps:

[0156] Based on the transportation and storage temperature fluctuation data of medical beauty products, the transportation and storage overload temperature is calculated to obtain the transportation and storage overload temperature data;

[0157] The damage probability of the packaging containers of medical beauty products is calculated based on the overload temperature data of medical beauty products, thereby obtaining the damage probability data of the packaging of medical beauty products;

[0158] Conduct a test on the sealing degradation of medical beauty product packaging based on the probability data of medical beauty product packaging damage, thereby obtaining the sealing degradation data of medical beauty product packaging;

[0159] According to the humidity data of the transportation and storage environment of medical beauty products and the data on the decrease in the sealing performance of the medical beauty product packaging, the probability of the medical beauty products being affected by moisture is calculated for the stability data of the finished products of the medical beauty products, and the probability data of the medical beauty products being affected by moisture is obtained;

[0160] Based on the transportation and storage overload temperature data and ultraviolet radiation intensity data, the stability data of finished medical beauty products are used to estimate the oxidative decomposition trend of the ingredients of medical beauty products, and obtain the oxidative decomposition trend data of the ingredients of medical beauty products;

[0161] Based on the oxidative decomposition trend data of medical beauty product ingredients and the probability data of medical beauty product being affected by moisture, the deterioration trend of medical beauty products is estimated to obtain the deterioration trend data of medical beauty products.

[0162] In the embodiment of the present invention, during the transportation and storage of medical beauty products, temperature fluctuations cause the phenomenon of "overload temperature", especially when the temperature exceeds the packaging and storage standards, resulting in the deterioration of the product. It is necessary to collect temperature data during the transportation and storage of medical beauty products, and use a precision temperature recorder, such as a digital temperature sensor or a thermocouple, to continuously monitor the temperature changes during transportation. After the data is collected, the temperature data is subjected to fluctuation analysis, and the standard deviation and temperature extreme value are used to calculate the "overload temperature", that is, the temperature value that exceeds the specified safe temperature range. This temperature threshold is calculated by setting the upper and lower temperature limits, and the "overload" caused by temperature fluctuations is calculated based on this. Through this calculation, the temperature overload data existing in the transportation and storage process is obtained. After the overload temperature data is obtained, the data is used to evaluate the probability that the packaging container of medical beauty products is affected by temperature fluctuations during transportation. To this end, based on the material of the packaging container (such as plastic, glass or aluminum can, etc.), combined with its thermal expansion coefficient and temperature resistance range, a thermodynamic model is used to analyze the probability that the container is affected by temperature overload. The specific operation is to predict the deformation, cracks or damage of the packaging container under different temperature overload conditions. By simulating different temperature scenarios and combining the safety threshold of container design, the probability data of package damage is calculated. When the packaging container is damaged, the sealing of the packaging will be affected, causing the medical beauty products to be exposed to environmental factors such as external air or humidity. By detecting the decline in the sealing of medical beauty product packaging, the potential risk to product stability can be further evaluated. To this end, a sealing test device (such as a vacuum sealing tester or a pressure sealing tester) is used to simulate the packaging container in the laboratory to measure whether it can maintain complete sealing under overload temperature conditions. The testing process includes airtightness testing of the packaging surface to simulate the performance of sealing under temperature fluctuations or pressure changes. If the degree of sealing decline exceeds the set threshold, the sealing decline data is recorded. The moisture problem of medical beauty products is usually closely related to environmental humidity and packaging sealing. When the sealing of the packaging container is damaged, moisture in the air penetrates into the interior of the medical beauty product, affecting its quality. In order to assess the moisture risk of medical beauty products, humidity data in the transportation and storage environment needs to be collected, which can be monitored and recorded in real time through humidity sensors (such as relative humidity meters). Next, combined with the seal degradation data, the humidity transmission model is used to analyze the probability of the package getting damp during transportation and storage. For example, the degree of package seal degradation is proportional to the increase in ambient humidity, which affects the risk of medical beauty products getting damp. Through this data calculation, the probability of medical beauty products getting damp during transportation and storage is obtained. Temperature and ultraviolet radiation have a significant impact on the oxidation reaction of the ingredients of medical beauty products. Therefore, it is necessary to combine the transportation and storage overload temperature data with the ultraviolet radiation intensity data to evaluate the oxidation and decomposition trend of the ingredients of medical beauty products.By integrating the ultraviolet sensor and temperature monitoring data, a chemical reaction kinetic model is constructed, which can simulate the effects of temperature and ultraviolet radiation on oxidative components (such as lipids, vitamins, etc.) in medical beauty products. In specific implementation, the oxidation rate of the components of medical beauty products is predicted based on the existing chemical reaction rate constants and the excitation effect of ultraviolet radiation on chemical reactions. Through the calculation of this model, the trend data of the oxidative decomposition of the components of medical beauty products under different transportation and storage conditions are obtained. The deterioration trend of medical beauty products is jointly affected by multiple factors, including the oxidative decomposition of the components and the moisture of the packaging. Based on the oxidative decomposition trend data in step S5 and the moisture probability data in step S4, the multivariate regression analysis method is used to comprehensively consider the impact of these two factors on the quality of medical beauty products. This analysis method combines factors such as temperature, humidity, and ultraviolet radiation to further predict the deterioration phenomenon of medical beauty products during transportation and storage. For example, oxidative decomposition and moisture lead to color changes, loss of odor, or reduced efficacy of medical beauty products. By establishing a mathematical model, the interaction of each factor is weighted to obtain the deterioration trend data of medical beauty products.

[0163] Preferably, step S3 comprises the following steps:

[0164] Step S31: Calculate the probability of microbial infection based on the transportation and storage data of medical beauty products to obtain the probability data of microbial infection of medical beauty products;

[0165] Step S32: estimating the growth of the total amount of endotoxins in medical beauty products based on the probability data of microbial infection in medical beauty products, and obtaining the growth data of the total amount of endotoxins in medical beauty products;

[0166] Step S33: performing an acidity and alkalinity change trend analysis of medical beauty products according to the expiration data of medical beauty product ingredients to obtain acidity and alkalinity change trend data of medical beauty products;

[0167] Step S34: performing an irritation growth test on medical beauty products based on the microbial infection probability data of medical beauty products, the total endotoxin growth data of medical beauty products, and the acidity and alkalinity change trend data of medical beauty products to obtain irritation growth data on medical beauty products;

[0168] Step S35: collecting the concentration of the water phase of the medical beauty products according to the stability data of the finished products of the medical beauty products, and obtaining the concentration data of the water phase of the medical beauty products;

[0169] Step S36: Calculate the solute concentration of the water phase layer of the medical beauty product according to the stratified water phase concentration data of the medical beauty product to obtain the solute concentration data of the water phase layer of the medical beauty product;

[0170] Step S37: analyzing the growth trend of the osmotic pressure of the water phase layer based on the solute concentration data of the water phase layer of the medical beauty product and the stratified water phase concentration data of the medical beauty product to obtain the growth trend data of the osmotic pressure of the water phase layer;

[0171] Step S38: The safety of medical beauty products is estimated based on the osmotic pressure growth trend data of the water phase layer and the irritation growth data of medical beauty products to obtain the safety data of medical beauty products.

[0172] In an embodiment of the present invention, real-time data collection is performed on the transportation and storage environment of medical beauty products through the Internet of Things device. Specifically, it includes environmental data such as temperature, humidity, light intensity, and vibration and packaging status data during transportation. These data are fed back to the Internet of Things platform through sensors for collection, and the platform transmits the data to a dedicated analysis system. The analysis system uses statistical analysis methods such as regression analysis and probability distribution analysis based on historical data, transportation environment conditions and product characteristics to calculate the probability of microbial infection of medical beauty products under a specific transportation and storage environment. The infection probability model is based on the theoretical construction of the microbial growth environment, combined with the sensitivity of the product to temperature and humidity changes, to conduct infection risk assessment and obtain microbial infection probability data of medical beauty products. According to the microbial infection probability data, combined with factors such as product ingredients, storage conditions, and temperature and humidity changes during transportation, a data model is used to estimate the growth trend of endotoxins. The specific method includes monitoring the generation of endotoxins in medical beauty products under microbial infection conditions, and performing fitting analysis based on infection probability data, product ingredients and historical data to estimate the generation rate and total growth of endotoxins. These data are updated in real time through the Internet of Things system, and dynamic prediction methods (such as time series analysis and exponential smoothing) are used to predict the trend of endotoxin growth in medical beauty products. The total endotoxin growth data is obtained, and the acid-base change trend is analyzed by collecting the data on the failure of ingredients caused by environmental factors such as temperature, humidity, and light during the transportation and storage of medical beauty products, and the pH value changes in the product ingredients are monitored in real time using sensor equipment. Changes in pH value directly affect the stability and irritation of the product. The analysis system preprocesses these real-time data, removes noise, and uses statistical methods such as linear regression and weighted average method to analyze the acid-base change trend caused by the failure of product ingredients. Combined with historical data, trend analysis is performed to obtain a prediction model for acid-base changes, and the acid-base change trend data of medical beauty products are obtained. Based on the data obtained in steps S31, S32, and S33, the effects of microbial infection, endotoxin growth, and acid-base changes on the products are comprehensively analyzed to detect irritation growth. The data fusion method is used to weight and summarize the three types of data (microbial infection probability, endotoxin growth, and acid-base changes) to calculate the potential risk value of irritation growth. The various data are compared with existing safety standards through algorithms (such as multivariate regression and fuzzy logic analysis) to predict the trend of product irritation changes. This step simulates the irritation changes under different storage conditions to obtain the irritation growth data of medical beauty products, analyzes the stability data of medical beauty products, determines the stratification phenomenon of products during storage, and collects the concentration data of the water phase. The environmental factors of medical beauty products during transportation and storage are monitored and recorded through Internet of Things devices, and the distribution of ingredients in the water phase is analyzed in combination with the ingredient information of the products.Using spectral analysis, reflection measurement and other technical means, the water phase concentration data at different levels, especially the concentration changes of the water phase layer, are collected. By deeply analyzing the obtained water phase concentration data, the concentration of the solute in the water phase layer is calculated. Based on the concentration data of the water phase layer and the known solute molecular weight and physicochemical properties, the concentration calculation formula (such as the molar concentration formula) is used to accurately calculate the solute concentration. This process requires comprehensive collection of solute concentrations at different levels, and combined with factors such as the fluid mechanics properties of the liquid and the effect of temperature on solubility, physical models (such as solubility theory) are used for accurate calculation. Through these calculations, the solute concentration data of the water phase layer is obtained. Based on the solute concentration of the water phase layer and the layered concentration data, the osmotic pressure formula (such as the Van't Hoff equation) is used to analyze the growth trend of the osmotic pressure of the water phase layer. By combining the water phase concentration data at different levels with the solute concentration, the change trend of the osmotic pressure is calculated. During the analysis process, it is necessary to take into account the effects of factors such as temperature on the osmotic pressure, as well as the changes that occur in the product during transportation. By establishing a relationship model between osmotic pressure and time (such as an exponential growth model or a linear model), the growth of the osmotic pressure of the aqueous phase is estimated, thereby obtaining the osmotic pressure growth trend data. The obtained osmotic pressure growth trend data of the aqueous phase and the obtained irritation growth data are comprehensively analyzed to predict the safety of product use. Through the data fusion method, the osmotic pressure data and the irritation growth data are combined to calculate the threshold for adverse irritation to the skin. Then, combined with the ingredients and use environment of the product, a safety assessment model (such as a risk assessment model) is used to predict the safety under different use conditions, and the use safety data of medical beauty products based on osmotic pressure changes and irritation growth are obtained.

[0173] The present invention also provides a medical beauty product quality traceability system based on the Internet of Things, which is used to execute the medical beauty product quality traceability method based on the Internet of Things as described above. The medical beauty product quality traceability system based on the Internet of Things includes:

[0174] Raw material characteristics analysis module: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products;

[0175] Medical beauty product ingredient failure detection module: Perform stability analysis on finished medical beauty products based on raw material property data to obtain finished medical beauty product stability data; perform transportation and storage detection on medical beauty products based on full-process traceability data to obtain transportation and storage data on medical beauty products; perform ingredient failure detection on finished medical beauty product stability data based on transportation and storage data on medical beauty products to obtain ingredient failure data on medical beauty products;

[0176] Medical beauty product stimulant growth detection module: perform stimulant growth detection on medical beauty products based on the transportation and storage data of medical beauty products and the expiration data of medical beauty product ingredients to obtain stimulant growth data on medical beauty products; estimate the safety of medical beauty products based on the stability data of finished products of medical beauty products and the stimulant growth data of medical beauty products to obtain the safety data of medical beauty products;

[0177] Medical beauty product full-process management module: Based on the medical beauty product stimulus growth data and the medical beauty product usage safety data, the production and storage anomaly analysis of medical beauty products is performed to obtain the medical beauty product production and storage anomaly data; the full-process traceability data of medical beauty products is used to manage the medical beauty products in the whole process according to the medical beauty product production and storage anomaly data to obtain the medical beauty product full-process management data.

[0178] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A quality traceability method for medical beauty products based on the Internet of Things, characterized in that: The following steps are involved: Step S1: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products; Step S2: Performing stability analysis on finished medical beauty products based on raw material property data of medical beauty products to obtain finished medical beauty product stability data; performing transportation and storage testing on medical beauty products based on full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products; According to the transportation and storage data of medical beauty products, the changes in the light intensity of the transportation and storage environment are collected to obtain the data on the changes in the light intensity of the transportation and storage; Conduct ultraviolet radiation intensity detection on the transportation and storage light intensity change data to obtain ultraviolet radiation intensity data; The transportation and storage temperature fluctuation data are collected based on the ultraviolet radiation intensity data and the transportation and storage light intensity change data to obtain the transportation and storage temperature fluctuation data of medical beauty products; Based on the transportation and storage data of medical beauty products, the humidity of the transportation and storage environment is collected to obtain the humidity data of the transportation and storage environment of medical beauty products; Based on the transportation and storage temperature fluctuation data of medical beauty products, the transportation and storage overload temperature is calculated to obtain the transportation and storage overload temperature data; The damage probability of the packaging containers of medical beauty products is calculated based on the overload temperature data of medical beauty products, thereby obtaining the damage probability data of the packaging of medical beauty products; Conduct a test on the sealing degradation of medical beauty product packaging based on the probability data of medical beauty product packaging damage, thereby obtaining the sealing degradation data of medical beauty product packaging; According to the humidity data of the transportation and storage environment of medical beauty products and the data on the decrease in the sealing performance of the medical beauty product packaging, the probability of the medical beauty products being affected by moisture is calculated for the stability data of the finished products of the medical beauty products, and the probability data of the medical beauty products being affected by moisture is obtained; Based on the transportation and storage overload temperature data and ultraviolet radiation intensity data, the stability data of finished medical beauty products are used to estimate the oxidation decomposition trend of the ingredients of medical beauty products, and obtain the oxidation decomposition trend data of the ingredients of medical beauty products; According to the oxidative decomposition trend data of medical beauty product ingredients and the probability data of medical beauty product moisture exposure, the deterioration trend of medical beauty products is estimated to obtain the deterioration trend data of medical beauty products; Based on the deterioration trend data of medical beauty products, the failure detection of medical beauty product ingredients is carried out to obtain the failure data of medical beauty product ingredients; Step S3: Calculate the probability of microbial infection based on the transportation and storage data of medical beauty products to obtain the probability data of microbial infection of medical beauty products; The total amount of endotoxins in medical beauty products is estimated based on the probability data of microbial infection of medical beauty products, and the total amount of endotoxins in medical beauty products is obtained. According to the failure data of medical beauty product ingredients, the acidity and alkalinity change trend of medical beauty products is analyzed to obtain the acidity and alkalinity change trend data of medical beauty products; Based on the data on the probability of microbial infection of medical beauty products, the data on the growth of the total amount of endotoxins of medical beauty products, and the data on the trend of the acidity and alkalinity changes of medical beauty products, the irritation growth of medical beauty products was tested to obtain the irritation growth data of medical beauty products; According to the finished product stability data of medical beauty products, the concentration of water phase in medical beauty product layers is collected to obtain the concentration data of water phase in medical beauty product layers; Calculate the solute concentration of the water phase layer of the medical beauty products according to the stratified water phase concentration data of the medical beauty products to obtain the solute concentration data of the water phase layer of the medical beauty products; Based on the solute concentration data of the water phase layer of medical beauty products and the water phase concentration data of medical beauty products, the osmotic pressure growth trend of the water phase layer is analyzed to obtain the osmotic pressure growth trend data of the water phase layer; Based on the growth trend data of the osmotic pressure of the water phase layer and the irritation growth data of medical beauty products, the safety of medical beauty products is estimated to obtain the safety data of medical beauty products; Step S4: Based on the stimulation growth data of medical beauty products and the safety data of medical beauty products, analyze the transportation and storage anomalies of medical beauty products to obtain the transportation and storage anomalies data of medical beauty products; manage the whole process of medical beauty products based on the whole process traceability data of medical beauty products according to the transportation and storage anomalies data of medical beauty products to obtain the whole process management data of medical beauty products.

2. The method for tracing the quality of medical and aesthetic products based on the Internet of Things according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: tracing the entire process of medical beauty products based on the Internet of Things to obtain tracing data of the entire process of medical beauty products; Step S12: collecting the sources of raw materials for medical beauty products according to the full-process traceability data of medical beauty products to obtain the source data of raw materials for medical beauty products; Step S13: performing chemical property analysis of raw materials of medical beauty products according to the raw material source data of medical beauty products to obtain chemical property data of raw materials of medical beauty products; Step S14: Calculate the probability of raw material microbial contamination based on the raw material source data and the raw material chemical property data of medical beauty products to obtain raw material microbial contamination probability data; Step S15: Analyze the raw material characteristics based on the raw material microbial contamination probability data and the chemical property data of the raw materials of medical beauty products to obtain the raw material characteristic data of medical beauty products.

3. The method for tracing the quality of medical and aesthetic products based on the Internet of Things according to claim 2, characterized in that: Step S13 includes the following steps: Step S131: Performing raw material chemical composition testing on raw material source data of medical beauty products to obtain chemical composition data of raw materials of medical beauty products; Step S132: performing oxidation stability analysis on the raw materials according to the chemical composition data of the raw materials of the medical beauty products to obtain oxidation stability data of the raw materials of the medical beauty products; Step S133: collecting the acidity and alkalinity of raw materials according to the raw material source data of medical beauty products to obtain the acidity and alkalinity data of raw materials of medical beauty products; Step S134: Perform chemical property analysis on the raw materials of medical beauty products based on the acidity and alkalinity data of the raw materials of medical beauty products and the oxidative stability data of the raw materials of medical beauty products to obtain the chemical property data of the raw materials of medical beauty products.

4. The method for tracing the quality of medical and aesthetic products based on the Internet of Things according to claim 2, characterized in that: Step S14 includes the following steps: Step S141: predicting the attenuation of antiseptic ability based on the chemical property data of raw materials of medical beauty products to obtain the attenuation data of the antiseptic ability of raw materials; Step S142: Perform raw material nutrient testing based on raw material source data of medical beauty products to obtain raw material nutrient data of medical beauty products; Step S143: evaluating the microbial growth environment according to the nutrient data of the raw materials of medical beauty products to obtain the microbial growth environment data of the raw materials; Step S144: performing an estimation of the reduction of microbial inhibition ability of the raw material microbial growth environment data according to the raw material antiseptic ability reduction data to obtain microbial inhibition ability reduction data; Step S145: Calculate the raw material microbial contamination probability based on the microbial inhibition capacity reduction data and the raw material microbial growth environment data to obtain the raw material microbial contamination probability data.

5. The method for tracing the quality of medical and aesthetic products based on the Internet of Things according to claim 1, characterized in that: The finished product stability analysis of medical aesthetic products described in step S2 includes: Obtain the blending formula data of medical beauty products; perform raw material solubility testing based on the raw material characteristic data of medical beauty products to obtain the raw material solubility data of medical beauty products; Calculate the stratification probability of medical beauty products based on the solubility data of raw materials of medical beauty products to obtain the stratification probability data of medical beauty products; Calculate the stratification speed of medical beauty products based on the raw material blending low solubility data and the stratification probability data of medical beauty products to obtain the stratification speed data of medical beauty products; According to the stratification speed data and stratification probability data of medical beauty products, the incomplete emulsification of medical beauty products is estimated to obtain the incomplete emulsification data of medical beauty products; According to the blending formula data of medical beauty products and the raw material property data of medical beauty products, the antioxidant capacity of medical beauty products is evaluated to obtain the antioxidant capacity data of medical beauty products; Based on the antioxidant capacity data of medical beauty products and the incomplete emulsification data of medical beauty products, the stability of the finished medical beauty products is evaluated to obtain the stability data of the finished medical beauty products.

6. A quality traceability system for medical beauty products based on the Internet of Things, characterized by: Used to execute the quality traceability method of medical beauty products based on the Internet of Things as claimed in claim 1, the quality traceability system of medical beauty products based on the Internet of Things includes: Raw material characteristics analysis module: Based on the Internet of Things, the whole process of medical beauty products is traced to obtain the whole process traceability data of medical beauty products; the source of raw materials of medical beauty products is collected based on the whole process traceability data of medical beauty products to obtain the source data of raw materials of medical beauty products; the raw material characteristics are analyzed based on the source data of raw materials of medical beauty products to obtain the raw material characteristics data of medical beauty products; Medical beauty product ingredient failure detection module: Perform stability analysis on finished medical beauty products based on raw material property data to obtain finished medical beauty product stability data; perform transportation and storage testing on medical beauty products based on the full-process traceability data of medical beauty products to obtain transportation and storage data of medical beauty products; perform ingredient failure testing on finished medical beauty product stability data based on transportation and storage data of medical beauty products to obtain ingredient failure data of medical beauty products; Medical beauty product stimulant growth detection module: perform stimulant growth detection on medical beauty products based on the transportation and storage data of medical beauty products and the expiration data of medical beauty product ingredients to obtain stimulant growth data on medical beauty products; estimate the safety of medical beauty products based on the stability data of finished products of medical beauty products and the stimulant growth data of medical beauty products to obtain the safety data of medical beauty products; Medical beauty product full-process management module: Based on the medical beauty product stimulus growth data and the medical beauty product usage safety data, the production and storage anomaly analysis of medical beauty products is performed to obtain the medical beauty product production and storage anomaly data; the full-process traceability data of medical beauty products is used to manage the medical beauty products in the whole process according to the medical beauty product production and storage anomaly data to obtain the medical beauty product full-process management data.

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