CN116228459B - System for analyzing proportion data of components of facial injection composition - Google Patents
System for analyzing proportion data of components of facial injection composition Download PDFInfo
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Abstract
The invention provides a data analysis system for proportioning all components of a face injection composition, belongs to the technical field of data analysis, solves the problem that all components in a beauty product are intelligently proportioned in order to improve sales volume by adopting a price reduction or beauty effect increasing mode and the like in a commercial beauty product, and comprises a product collection module, a product analysis module, a control variable test module, a cost calculation module and an effect comparison module.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a data analysis system for the proportion of each component of a facial injection composition.
Background
Injection cosmetology is a kind of non-operative plastic cosmetology, which is characterized in that biological materials or artificially synthesized materials with good biocompatibility are injected into dermis or subcutaneous tissues by using an injection method, and skin wrinkles or plasticity are reduced by different action mechanisms. Sodium hyaluronate is a polysaccharide biological material with very good biocompatibility, the research on the degradation metabolic process in vivo is clear, and the sodium hyaluronate is safe to human bodies, and is the first choice material for preparing gel products. The gel products are well known as important products in the micro-shaping field nowadays, and many gel products for injection are available on the market, wherein the hyaluronic acid products are widely used by shaping and beautifying institutions with good biocompatibility, few side effects after injection and lasting shaping effect.
Various beauty products injected through the face exist on the market, but the smooth sales conditions of the various beauty products are different, in order to solve the problem of poor sales, the sales end of the beauty products can increase the beauty effect blindly by reducing the price or the production end so as to promote sales, and the intelligent proportion of each component in the beauty products is realized by not combining the factors such as cost, sales and the like in the above modes;
therefore, the invention provides a data analysis system for the proportion of each component of the facial injection composition to solve the problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a data analysis system for the proportion of each component of a facial injection composition.
The technical problems to be solved by the invention are as follows:
how to combine multiple factors to realize intelligent proportioning of each component in the facial injection beauty product.
In order to achieve the above object, the present invention is realized by the following technical scheme:
the system comprises a data acquisition terminal, a data analysis platform, a display terminal, a first server, a second server and a big data module, wherein the first server is connected with a product collection module and a product analysis module, the second server is connected with a test terminal, a control variable test module, a cost calculation module and an effect comparison module, and the big data module is used for acquiring product sales data of different facial moisturizing products on the market and sending the product sales data to the product analysis module through the first server; the product analysis module is used for analyzing the heat conditions of different facial moisturizing products on the market, and obtaining the product heat value of the facial moisturizing products and sending the product heat value to the product collection module through the first server; the product collection module is used for dividing the facial moisturizing products according to the product heat values, obtaining the product heat levels of the facial moisturizing products, and sending the product heat levels to the display terminal through the first server and the data analysis platform, wherein the display terminal is used for displaying the product heat levels of the facial moisturizing products;
the display terminal is used for sending product component data corresponding to the facial moisturizing product to the control variable testing module through the data analysis platform and the second server according to the product heat level; the control variable testing module is used for carrying out product testing on the face moisturizing product, a testing reference group and a quantitative component group of the face moisturizing product are obtained and sent to a testing terminal through a second server, and the testing terminal is used for carrying out testing according to the component amounts of each raw material component of the face moisturizing product in the testing reference group and the quantitative component group;
the data acquisition terminal is used for acquiring test data of the test reference group and the quantitative component concentrated facial moisturizing product and sending the test data to the effect comparison module through the data analysis platform and the second server; the effect comparison module is used for comparing the test effects of the facial moisturizing products, and the initial test group with concentrated quantitative components is obtained and sent to the cost calculation module through the second server;
the big data module is used for acquiring market unit prices of different raw material components in the quantitative component centralized primary selection test group and sending the market unit prices to the cost calculation module through the second server;
the cost calculation module is used for calculating the production cost of the quantitative ingredient concentrated initial selection test group, the ingredient proportion group of the obtained facial moisturizing product is sent to the display terminal through the second server and the data analysis platform, and the display terminal is also used for displaying the ingredient proportion group of the facial moisturizing product.
Further, the product sales data is daily sales, browsing times and browsing time length of the face moisturizing product in the previous month;
the product component data is the component amounts of all raw material components of the facial moisturizing product at the third product heat level;
the test data are the face moisturization degree and the face moisturization duration of the face moisturization product in the test reference group and the quantitative component concentration, and the face moisturization duration is the duration for reaching the preset face moisturization degree.
Further, the analysis process of the product analysis module is specifically as follows:
acquiring daily sales volume of the face moisturizing product in the previous month, adding and summing the daily sales volume of the previous month, and obtaining an average value to obtain daily sales volume of the face moisturizing product;
then acquiring the browsing times of the face moisturizing product in the previous month and the browsing time length of each browsing, and adding and summing the browsing time length of each browsing and dividing the sum by the browsing times to obtain the browsing average time length of the face moisturizing product;
and calculating the product heat value of the facial moisturizing product.
Further, the working process of the product collection module is specifically as follows:
acquiring a product heat threshold stored in a first server;
comparing the product heat value with a product heat threshold;
and judging that the product heat level of the facial moisturizing product is the third product heat level, the second product heat level or the first product heat level.
Further, the first product heat level is higher than the second product heat level;
the second product heat level is higher than the third product heat level;
the larger the value of the product heat value, the higher the product heat level.
Further, the product testing process of the control variable testing module is specifically as follows:
acquiring all raw material components and component amounts of each raw material component of the facial moisturizing product, taking the component amount of each raw material component as an initial component amount of the facial moisturizing product at present, and putting the initial component amount into a test reference group;
then taking the component amount of any one of the raw material components in the facial moisturizing product as a quantitative component and the component amounts of other raw material components as variable components to obtain a plurality of test groups of the facial moisturizing product;
several groups of test trials were generalized to quantitative component diversity.
Further, the comparison process of the effect comparison module is specifically as follows:
acquiring the face wettability and the face moisturizing duration of the face moisturizing products in the test reference group, wherein the face wettability is defined as reference wettability, and the face moisturizing duration is defined as reference moisturizing duration;
then obtaining the face wettability and the face moisturizing duration of the face moisturizing products corresponding to each group of test groups in the quantitative component set;
if the face wettability is smaller than the reference wettability or the face moisturizing time is smaller than the reference moisturizing time, eliminating the test group corresponding to the quantitative component concentration;
if the face wettability is equal to or higher than the reference wettability and the face moisturizing time length is equal to or higher than the reference moisturizing time length, the test group corresponding to the quantitative component concentration is calibrated as a first-choice test group with the quantitative component concentration.
Further, the calculation process of the cost calculation module is specifically as follows;
acquiring the cost of all raw materials in a quantitative ingredient concentrated primary selection test group and the ingredient amount of each raw material ingredient;
dividing the component amount of each raw material component by the market price to obtain the component total price of each raw material cost in the primary selection test group, and summing the component total prices of each raw material cost in the primary selection test group to obtain the production cost price of the quantitative component concentrated primary selection test group;
and traversing and comparing the production cost price of all the initially selected test groups in the quantitative component set, and selecting the initially selected test group corresponding to the minimum value of the production cost price as the component proportion group of the facial moisturizing product.
Further, the market price is obtained by summing the daily market price one month before the raw material cost in the facial moisturizing product.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the large data module is used for acquiring product sales data of different face moisturizing products on the market, the product sales data are sent to the product analysis module, the product analysis module is used for analyzing the heat conditions of the different face moisturizing products on the market, the product heat values of the face moisturizing products are obtained and sent to the product collection module, the product collection module divides the face moisturizing products according to the product heat values, the product heat levels of the face moisturizing products are obtained and sent to the display terminal, after authorized agreement, the display terminal sends product component data corresponding to the face moisturizing products to the control variable test module according to the product heat levels, the control variable test module is used for carrying out product testing on the face moisturizing products, the test reference group and the quantitative component set of the face moisturizing products are obtained and sent to the test terminal, the test terminal is used for testing the component quantity of each raw material component of the face moisturizing products according to the test reference group and the quantitative component set, the effect comparison module is used for comparing the test effect of the face moisturizing products, the initial selected test group is sent to the cost calculation module, and the initial cost calculation of the face moisturizing components in the face moisturizing products is carried out in the intelligent computation of the initial cost calculation module according to the initial cost of the face moisturizing components of the face moisturizing products is achieved, and the initial cost calculation of the initial cost of the face moisturizing components is calculated by the intelligent component calculation module, and the initial cost ratio of the initial cost calculation of the face moisturizing components is calculated.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram illustrating a connection of a first server according to the present invention;
fig. 3 is a connection block diagram of a second server according to the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, the invention provides a system for analyzing proportion data of components of a face injection composition, wherein the face injection composition comprises a solid injection, a pure liquid injection, a gel injection and the like, the face injection composition is mainly used for removing wrinkles on a face, preserving moisture on the face and the like, in the implementation, the face injection composition which is preferably used for preserving moisture on the face is used for analyzing proportion data of the components, a face moisturizing product is used for replacing the face injection composition used for preserving moisture on the face, the system comprises a data acquisition terminal, a data analysis platform, a display terminal, a first server, a second server and a big data module, and the big data module is connected with the external internet, and the big data module is respectively connected with the first server and the second server.
Example 1
As shown in fig. 2, the first server is connected with a product collection module and a product analysis module, the big data module is used for obtaining product sales data of different facial moisturizing products on the market, and sending the product sales data to the first server, and the first server sends the product sales data to the product analysis module;
the method specifically needs to be explained, the product sales data is daily sales volume, browsing times and browsing time length of each browsing time of a month before the facial moisturizing product, wherein the browsing times are times for browsing websites where the facial moisturizing product is located, and the browsing time length is time length of each browsing website where the facial moisturizing product is located;
the product analysis module is used for analyzing the heat conditions of different facial moisturizing products on the market, and the analysis process is specifically as follows:
marking the facial moisturizing product as u, u=1, 2, … …, z, z being a positive integer;
acquiring daily sales volume of the face moisturizing product in the previous month, adding and summing the daily sales volume of the previous month, and obtaining an average value to obtain daily average sales volume XLu of the face moisturizing product;
then obtaining the browsing times LCu of the face moisturizing product in the previous month and the browsing time length of each browsing, and obtaining the browsing average time length LTu of the face moisturizing product by adding and summing the browsing time length of each browsing and dividing the browsing times;
the product heat value CRu of the facial moisturizing product is calculated by the formula cru= XLu ×a1+lcu×a2+ LTu ×a3; wherein a1, a2 and a3 are all proportional coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero, wherein the daily sales, browsing times and browsing average duration are all in direct proportion to the product heat value, namely, the larger the values of the daily sales, browsing times and browsing average duration are, the larger the values of the product heat value are;
the product analysis module feeds back the product heat value CRu of the face moisturizing product to a first server, and the first server sends the product heat value CRu of the face moisturizing product to the product collection module;
the product collection module is used for dividing the facial moisturizing products according to the product heat value, and the working process is specifically as follows:
acquiring a product heat threshold stored in a first server;
comparing the product heat value with a product heat threshold;
if CRu is less than X1, the product heat level of the facial moisturizing product is the third product heat level;
if X1 is less than or equal to CRu and less than X2, the product heat level of the facial moisturizing product is the second product heat level;
if X2 is less than or equal to CRu, the product heat level of the facial moisturizing product is the first product heat level; wherein X1 and X2 are both product heat thresholds with fixed values, and X1 is less than X2;
it can be appreciated that the first product heat level is higher than the second product heat level, which is higher than the third product heat level, i.e. the greater the value of the product heat value, the higher the product heat level;
the product collection module feeds back the product heat level of the face moisturizing product to the first server, the first server sends the product heat level of the face moisturizing product to the data analysis platform, the data analysis platform sends the product heat level of the moisturizing product to the display terminal, and the display terminal is used for displaying the product heat level of the face moisturizing product.
Example two
As shown in fig. 3, the second server is connected with a test terminal, a control variable test module, a cost calculation module and an effect comparison module;
when the display terminal receives the product heat level of the face moisturizing product, if the product heat level is the third product heat level, the display terminal is used for sending product component data corresponding to the face moisturizing product to the data analysis platform, specifically, the product component data can be sent to the data analysis platform for staff/manufacturers at the display terminal, the data analysis platform sends the product component data of the face moisturizing product to a second server, and the second server sends the product component data of the face moisturizing product to the control variable test module;
the product component data is all raw material components of the facial moisturizing product at the third product heat level and component amounts of each raw material component;
in the specific implementation, the first product heat level represents that the face moisturizing product is a hot selling product/a free selling product, the second product heat level represents that the face moisturizing product is a normal selling product, the third product heat level represents that the face moisturizing product is a cold selling product/a diapause product/a sales poor product, and actually, the product component data corresponding to the face moisturizing product can be sent according to the requirements of users, and the method is not limited to only sending the product component data of the face moisturizing product at the third product heat level;
in the present embodiment, it is preferable to transmit the product component data of the facial moisturizing product at the third product heat level;
the control variable testing module is used for carrying out product testing on the facial moisturizing product, and the product testing process is specifically as follows:
acquiring all raw material components and component amounts of each raw material component of the facial moisturizing product, taking the component amount of each raw material component as an initial component amount of the facial moisturizing product at present, and putting the initial component amount into a test reference group;
then taking the component amount of any one of the raw material components in the facial moisturizing product as a quantitative component, taking the component amounts of other raw material components as variable components, obtaining a plurality of groups of test groups of the facial moisturizing product, and finally inducing the plurality of groups of test groups to quantitative component groups;
specifically, if all the raw material components in the face moisturizing product are a raw material component a, a raw material component B and a raw material component C, firstly, the component amounts of the raw material component a and the component amounts of the raw material component B and the raw material component C are used as quantitative components, and are adjusted, so as to obtain a plurality of groups of test groups of the face moisturizing product, and as the component amounts of the raw material component a are quantitative components, the plurality of groups of test groups are integrated into a raw material component set, and as the component amounts of the raw material component B and the component amounts of the raw material component C are used as quantitative components, the component amounts of the raw material component a and the raw material component B are adjusted, so as to obtain a raw material component set, or the component amounts of the raw material component C are used as quantitative components, and the component amounts of the raw material component a and the raw material component B are adjusted as variable components, so as to obtain a raw material component set;
the control variable testing module feeds back the test reference group and the quantitative component group of the face moisturizing product to the second server, the second server sends the test reference group and the quantitative component group of the face moisturizing product to the testing terminal, and the testing terminal is used for testing according to the component amounts of each raw material component of the face moisturizing product in the test reference group and the quantitative component concentration;
the data acquisition terminal is used for acquiring test data of the test reference group and the face moisturizing products with the quantitative components concentrated, and sending the test data to the data analysis platform, the data analysis platform sends the test data to the second server, and the second server sends the test data to the effect comparison module;
the specific explanation is that the test data is the face wettability and the face moisturizing duration of the face moisturizing product in the test reference group and the quantitative component concentration, and the face moisturizing duration is the duration of reaching the preset face wettability;
specifically, the testing terminal selects an animal skin similar to the face of a human body, then injects raw material components with corresponding component amounts into the animal skin according to the component amounts of each raw material component in the testing reference group and the quantitative component concentration, acquires the wettability of the animal skin through a hygrometer, and clocks the moisturizing time of the animal skin through a timer;
the effect comparison module is used for comparing the test effect of the facial moisturizing product, and the comparison process is specifically as follows:
acquiring the face wettability and the face moisturizing duration of the face moisturizing products in the test reference group, wherein the face wettability is defined as reference wettability, and the face moisturizing duration is defined as reference moisturizing duration;
then obtaining the face wettability and the face moisturizing duration of the face moisturizing products corresponding to each group of test groups in the quantitative component set;
if the face wettability is smaller than the reference wettability or the face moisturizing time is smaller than the reference moisturizing time, eliminating the test group corresponding to the quantitative component concentration;
if the face wettability is greater than or equal to the reference wettability and the face moisturizing time length is greater than or equal to the reference moisturizing time length, calibrating the test group corresponding to the quantitative component concentration as a primary test group with the quantitative component concentration;
the effect comparison module feeds back the initial selection test group with concentrated quantitative components to a second server, and the second server sends the initial selection test group with concentrated quantitative components to the cost calculation module;
the big data module is used for acquiring market unit prices of different raw material components in the quantitative component centralized initial selection test group, sending the market unit prices of the different raw material components in the quantitative component centralized initial selection test group to the second server, and sending the market unit prices of the different raw material components in the quantitative component centralized initial selection test group to the cost calculation module by the second server;
wherein, the market price is obtained by adding the daily market price of the face moisturizing product one month before the raw material cost;
the cost calculation module is used for calculating the production cost of the quantitative ingredient concentrated primary selection test group, and the calculation process is specifically as follows;
acquiring the cost of all raw materials in a quantitative ingredient concentrated primary selection test group and the ingredient amount of each raw material ingredient;
dividing the component amount of each raw material component by the market price to obtain the component total price of each raw material cost in the primary selection test group, and summing the component total prices of each raw material cost in the primary selection test group to obtain the production cost price of the quantitative component concentrated primary selection test group;
traversing and comparing the production cost price of all the initially selected test groups in the quantitative component set, and selecting the initially selected test group corresponding to the minimum value of the production cost price as a component proportion group of the facial moisturizing product;
in the actual cost calculation process, the production difficulty level and the production procedure number can be taken into consideration;
the cost calculation module sends the component proportioning group of the facial moisturizing product to a second server, the second server sends the component proportioning group of the facial moisturizing product to a data analysis platform, the data analysis platform sends the component proportioning group of the facial moisturizing product to a display terminal, and the display terminal is further used for displaying the component proportioning group of the facial moisturizing product;
in the invention, if a corresponding calculation formula appears, the calculation formulas are all dimensionality-removed and numerical calculation, and the weight coefficient, the proportion coefficient and other coefficients in the formulas are set to be a result value obtained by quantizing each parameter, so long as the proportion relation between the parameter and the result value is not influenced.
Example III
Based on the further conception of the same invention, a use method of a data analysis system for the proportion of each component of the facial injection composition is now provided, and the use method specifically comprises the following steps:
step S101, firstly, obtaining product sales data of different facial moisturizing products on the market through a big data module, and sending the product sales data to a first server, wherein the first server sends the product sales data to a product analysis module;
step S102, analyzing the heat conditions of different facial moisturizing products on the market by utilizing a product analysis module, obtaining daily sales of the facial moisturizing products in the previous month, adding and summing the daily sales of the previous month to obtain the daily sales of the facial moisturizing products, obtaining browsing times of the facial moisturizing products in the previous month and browsing time length of each browsing time, adding and summing the browsing time length of each browsing time length to divide the browsing times to obtain browsing average time length of the facial moisturizing products, calculating the product heat value of the facial moisturizing products, feeding back the product heat value of the facial moisturizing products to a first server, and sending the product heat value of the facial moisturizing products to a product collection module by the first server;
step S103, the product collection module divides the face moisturizing product according to the product heat value, obtains a product heat threshold stored in the first server, compares the product heat value with the product heat threshold, judges whether the product heat level of the face moisturizing product is a third product heat level, a second product heat level or a first product heat level, feeds back the product heat level of the face moisturizing product to the first server, the first server sends the product heat level of the moisturizing product to the data analysis platform, the data analysis platform sends the product heat level of the face moisturizing product to the display terminal, and the display terminal displays the product heat level of the face moisturizing product;
in this embodiment, the usage method of the data analysis system for the mixture ratio of the components of the face injection composition further comprises:
step S201, after receiving the product heat level of the face moisturizing product, if the product heat level is the third product heat level, the display terminal sends product component data corresponding to the face moisturizing product to a data analysis platform, the data analysis platform sends the product component data of the face moisturizing product to a second server, and the second server sends the product component data of the face moisturizing product to a control variable test module;
step S202, a control variable test module performs product testing on the face moisturizing product to obtain all raw material components and component amounts of each raw material component of the face moisturizing product, the component amount of each raw material component is currently used as an initial component amount of the face moisturizing product and is put into a test reference group, then the component amount of any one raw material component in the face moisturizing product is used as a quantitative component, the component amounts of other raw material components are used as variable components to obtain a plurality of groups of test groups of the face moisturizing product, finally the plurality of groups of test groups are summarized into a quantitative component group, the control variable test module feeds back the test reference group and the quantitative component group of the face moisturizing product to a second server, the second server sends the test reference group and the quantitative component group of the face moisturizing product to a test terminal, and the test terminal performs testing according to the component amounts of each raw material component of the test reference group and the quantitative component group concentrated face moisturizing product;
step S203, the data acquisition terminal acquires test data of the test reference group and the face moisturizing products with the quantitative components concentrated, and sends the test data to the data analysis platform, the data analysis platform sends the test data to the second server, and the second server sends the test data to the effect comparison module;
step S204, comparing the test effects of the face moisturizing products by the effect comparison module, obtaining the face moisturizing degree and the face moisturizing time length of the face moisturizing products in the test reference group, wherein the face moisturizing degree is defined as the reference moisturizing degree, the face moisturizing time length is defined as the reference moisturizing time length, then obtaining the face moisturizing degree and the face moisturizing time length of the face moisturizing products corresponding to each group of test groups in quantitative component concentration, if the face moisturizing degree is smaller than the reference moisturizing degree or the face moisturizing time length is smaller than the reference moisturizing time length, rejecting the test groups corresponding to the quantitative component concentration, and if the face moisturizing degree is greater than or equal to the reference moisturizing degree and the face moisturizing time length is greater than or equal to the reference moisturizing time length, calibrating the test groups corresponding to the quantitative component concentration as the initial test groups in quantitative component concentration, feeding back the initial test groups in quantitative component concentration to the second server by the effect comparison module, and sending the initial test groups in quantitative component concentration to the cost calculation module by the second server;
step S205, the big data module further obtains market unit prices of different raw material components in the quantitative component centralized initial selection test group, and sends the market unit prices of the different raw material components in the quantitative component centralized initial selection test group to the second server, and the second server sends the market unit prices of the different raw material components in the quantitative component centralized initial selection test group to the cost calculation module;
and S206, calculating the production cost of the quantitative ingredient concentrated primary selection test group by the cost calculation module, obtaining all raw material costs and ingredient amounts of each raw material ingredient in the quantitative ingredient concentrated primary selection test group, dividing the ingredient amounts of each raw material ingredient by market unit price to obtain ingredient total prices of each raw material cost in the primary selection test group, summing the ingredient total prices of each raw material cost in the primary selection test group to obtain the production cost price of the quantitative ingredient concentrated primary selection test group, traversing and comparing the production cost prices of all the primary selection test groups in the quantitative ingredient concentrated primary selection test group, selecting the initial selection test group corresponding to the minimum value of the production cost price as the ingredient ratio group of the facial moisturizing product, sending the ingredient ratio group of the facial moisturizing product to the second server, sending the ingredient ratio group of the facial moisturizing product to the data analysis platform, sending the ingredient ratio group of the facial moisturizing product to the display terminal, and displaying the ingredient ratio group of the facial moisturizing product by the display terminal.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
The above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. The system is used for analyzing the proportioning data of each component of the face injection composition and comprises a data acquisition terminal, a data analysis platform, a display terminal, a first server, a second server and a big data module, and is characterized in that the first server is connected with a product collection module and a product analysis module, and the second server is connected with a test terminal, a control variable test module, a cost calculation module and an effect comparison module;
the big data module is used for acquiring product sales data of different facial moisturizing products on the market and sending the product sales data to the product analysis module; the product analysis module is used for analyzing the heat conditions of the moisturizing products of different faces, obtaining a product heat value and sending the product heat value to the product collection module; the product collection module is used for dividing the facial moisturizing products according to the product heat values, obtaining product heat levels of the facial moisturizing products and sending the product heat levels to the display terminal, wherein the product heat levels comprise a third product heat level, a second product heat level and a first product heat level; the display terminal is used for displaying the product heat level of the facial moisturizing product;
the display terminal sends the product component data of the facial moisturizing product to the control variable testing module according to the product heat level; the control variable testing module is used for carrying out product testing on the facial moisturizing product to obtain a testing reference group and a quantitative component of the facial moisturizing product and sending the testing reference group and the quantitative component to the testing terminal; the test terminal is used for testing the component quantity of each raw material component of the face moisturizing product according to the test reference group and the quantitative component concentration;
the data acquisition terminal is used for acquiring test data of the test reference group and the quantitative ingredient concentrated facial moisturizing products and sending the test data to the effect comparison module; the effect comparison module is used for comparing the test effects of the facial moisturizing products, and the initial test group with concentrated quantitative components is obtained and sent to the cost calculation module; the big data module is also used for acquiring market unit prices of different raw material components in the quantitative component centralized primary selection test group and sending the market unit prices to the cost calculation module; the cost calculation module is used for calculating the production cost of the quantitative ingredient concentrated primary selection test group, the ingredient proportion group of the facial moisturizing product is obtained and sent to the display terminal, and the display terminal is also used for displaying the ingredient proportion group of the facial moisturizing product.
2. The system for analyzing the formulation data for facial injection composition according to claim 1, wherein the product sales data is daily sales of facial moisturizing products for one month, number of browses, and browsing duration per browse;
the product component data is the component amounts of all raw material components of the facial moisturizing product at the third product heat level;
the test data are the face moisturization degree and the face moisturization duration of the face moisturization product in the test reference group and the quantitative component concentration, and the face moisturization duration is the duration for reaching the preset face moisturization degree.
3. The system for analyzing the data of the proportions of the components of the facial injection composition according to claim 2, wherein the analysis process of the product analysis module is specifically as follows:
acquiring daily sales volume of the face moisturizing product in the previous month, adding and summing the daily sales volume of the previous month, and obtaining an average value to obtain daily sales volume of the face moisturizing product;
then acquiring the browsing times of the face moisturizing product in the previous month and the browsing time length of each browsing, and adding and summing the browsing time length of each browsing and dividing the sum by the browsing times to obtain the browsing average time length of the face moisturizing product;
and calculating the product heat value of the facial moisturizing product.
4. The system for analyzing the proportioning data of each component of a facial injection composition according to claim 3, wherein the working process of the product collection module is specifically as follows:
acquiring a product heat threshold stored in a first server;
comparing the product heat value with a product heat threshold;
and judging that the product heat level of the facial moisturizing product is the third product heat level, the second product heat level or the first product heat level.
5. The system for analyzing the formulation data for a facial injection composition of claim 4, wherein the first product heat rating is higher than the second product heat rating;
the second product heat level is higher than the third product heat level;
the larger the value of the product heat value, the higher the product heat level.
6. The system for analyzing the formulation data of facial injection composition according to claim 2, wherein the product testing process of the control variable testing module is specifically as follows:
acquiring all raw material components and component amounts of each raw material component of the facial moisturizing product, taking the component amount of each raw material component as an initial component amount of the facial moisturizing product at present, and putting the initial component amount into a test reference group;
then taking the component amount of any one of the raw material components in the facial moisturizing product as a quantitative component and the component amounts of other raw material components as variable components to obtain a plurality of test groups of the facial moisturizing product;
several groups of test trials were generalized to quantitative component diversity.
7. The system for analyzing the proportioning data of each component of the facial injection composition according to claim 6, wherein the comparison process of the effect comparison module is specifically as follows:
acquiring the face wettability and the face moisturizing duration of the face moisturizing products in the test reference group, wherein the face wettability is defined as reference wettability, and the face moisturizing duration is defined as reference moisturizing duration;
then obtaining the face wettability and the face moisturizing duration of the face moisturizing products corresponding to each group of test groups in the quantitative component set;
if the face wettability is smaller than the reference wettability or the face moisturizing time is smaller than the reference moisturizing time, eliminating the test group corresponding to the quantitative component concentration;
if the face wettability is equal to or higher than the reference wettability and the face moisturizing time length is equal to or higher than the reference moisturizing time length, the test group corresponding to the quantitative component concentration is calibrated as a first-choice test group with the quantitative component concentration.
8. The system for analyzing the proportioning data of each component of a face injection composition according to claim 7, wherein the calculation process of the cost calculation module is specifically as follows;
acquiring the cost of all raw materials in a quantitative ingredient concentrated primary selection test group and the ingredient amount of each raw material ingredient;
dividing the component amount of each raw material component by the market price to obtain the component total price of each raw material cost in the primary selection test group, and summing the component total prices of each raw material cost in the primary selection test group to obtain the production cost price of the quantitative component concentrated primary selection test group;
and traversing and comparing the production cost price of all the initially selected test groups in the quantitative component set, and selecting the initially selected test group corresponding to the minimum value of the production cost price as the component proportion group of the facial moisturizing product.
9. The system for analyzing formulation data for facial injection compositions according to claim 8, wherein the market price is derived from the sum of daily market prices one month before the cost of the raw materials in the facial moisturizing product.
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| WO2020149687A1 (en) * | 2019-01-17 | 2020-07-23 | 주식회사 잼 | Method for constructing beauty content-based database and method for searching for beauty content or beauty object by using same |
| CN113506133A (en) * | 2021-07-08 | 2021-10-15 | 重庆建筑工程职业学院 | Engineering consultation system based on big data analysis |
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