CN116452018A - Visual image design system based on information acquisition - Google Patents
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Abstract
The invention discloses an information acquisition-based visual image design system, and particularly relates to the field of visual image design. According to the invention, the appointed data in each subarea of the enterprise product is designed through the collection target, the appointed data in each subarea is preprocessed, and the product value evaluation coefficient is obtained through analysis, so that the situation that the manager of the enterprise is limited and cannot timely know the real-time change condition of the product information, and the product with potential problems cannot be evaluated, so that the enterprise image is threatened, the accuracy of evaluating the product value of the enterprise is improved, the attraction of the user to the enterprise product and the success rate of secondary purchase are further improved, and the beneficial influence is generated on the enterprise.
Description
Technical Field
The invention relates to the technical field of visual image design, in particular to a visual image design system based on information acquisition.
Background
When visual image design plays an important role in brand shaping, visual identification is the most intuitive way for users to know an enterprise product, visual image design can generate huge influence on users through media transmission, and although the visual image design cannot directly determine the advantages and disadvantages of the enterprise product, the visual image design is a non-negligible important link in the enterprise image shaping process, so that a deep and systematic scheme can improve the attraction of users to the enterprise product and the success rate of product secondary purchase and has beneficial influence on enterprises.
However, when the method is actually used, some disadvantages still exist, such as that in the process of enlarging the scale of an enterprise, the enterprise product data processing cannot meet the increase of personnel volume, the cost of human resources is high, the problems of low efficiency and high error rate also exist in the use process, the enterprise product data does not form a quantifiable evaluation mechanism, further the method cannot be popularized for the products with high repurchase rate and advantages, and the product information feedback lacks corresponding timeliness, so that the enterprise image is threatened.
When enterprises transmit products to the masses in a form of information visualization, the process has effects and value in the integration process by utilizing complete information acquisition visual image design, but the prior art lacks a complete integration system of information acquisition, so that the product value and the feedback information state of the products cannot be directly reflected in the sales process, and the decision efficiency is low.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides an information acquisition-based visual image design system for solving the problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an enterprise product dividing module: the method is used for classifying the target design enterprise products according to types, each type is divided into subareas according to colors, and the subareas in the target design enterprise products are numbered 1,2,3 and n in sequence.
The enterprise product information acquisition module: the system is used for acquiring specified data in each subarea of the target design enterprise product, including product sales, product cost, product score, number of customers purchasing the product and number of repeated purchasing times of the customer, and transmitting the result to the enterprise product information preprocessing module.
The enterprise product information preprocessing module: the product information acquisition module is used for receiving product data of the enterprise product information acquisition module, calculating product sales volume ratio through product sales volume, calculating product evaluation average score through product score, calculating product re-purchase rate through product purchasing customer number and repeated purchasing times of customers, and calculating product profit through product sales volume and product cost.
And the enterprise product information analysis module: the product profit margin analysis method is used for analyzing the product sales volume ratio, the product evaluation average score and the product repurchase rate data calculated by the enterprise product information preprocessing module to obtain a target design enterprise product acceptance index Y, and calculating a product profit fluctuation index B through product profit.
The enterprise product information evaluation module: the method is used for extracting the product acceptance index and the product profit fluctuation index of each subarea of the target design enterprise product, calculating the product value evaluation coefficient P of the target design enterprise, and storing the historical product value evaluation coefficient of each subarea of the target design enterprise product.
Enterprise product inventory warning database: the method is used for storing the real-time inventory quantity of the target design enterprise products, storing the related keyword information of each product, comparing the keyword information with the sales quantity of the products and sending corresponding processing.
And the enterprise product information judging module is used for: and the product value evaluation coefficient P of each subarea of the enterprise product is compared with the predicted product value evaluation coefficient delta P according to the target design, and corresponding treatment measures are carried out.
The specific acquisition mode of each subarea of the target design enterprise product in the enterprise product information acquisition module is as follows:
dividing each type of product of a target design enterprise into subareas according to colors, collecting specified data of the products in each subarea, and numbering i, wherein i=1, 2.
The enterprise product information acquisition module is characterized in that the acquisition mode of scoring the products in each subarea of the target design enterprise product is as follows:
dividing each type of product of a target design enterprise into subareas according to colors, collecting the grading grade of each subarea product, and marking the grading grade as A 1 ，A 2 ，A 3 ，A i 。
In one possible design, the product sales ratio formula in the enterprise product information preprocessing module is:
where m is expressed as product sales.
The average score formula of product evaluation in the enterprise product information preprocessing module is as follows:
where λ is represented as the other influencing factor for the average score of the product evaluation, where a is represented as the product score.
The formula of the repurchase rate of the products in the enterprise product information preprocessing module is as follows:
where H represents the number of repeat purchases by the customer and H represents the number of customers for the product purchase.
The profit formula of the product in the enterprise product information preprocessing module is as follows:
where r is expressed as the sales of the product and c is expressed as the cost of the product.
The corresponding product acceptance index formula in the enterprise product information analysis module is as follows: y=α×μ×β×λ, where λ is expressed as other influencing factors of the product acceptance.
The corresponding product profit fluctuation index formula in the enterprise product information analysis module is as follows:where lambda is expressed as other influencing factors for fluctuations in product profit.
The product value evaluation coefficient formula in the enterprise product information evaluation module is as follows: p=λ 1 *Y+λ 2 * B, wherein lambda 1 、λ 2 Expressed as other factors of product acceptance and other factors of fluctuation in product profit, respectively.
The enterprise product inventory early warning database comprises the following specific modes:
the real-time inventory quantity of each subarea product of the target design enterprise is extracted from the product inventory early warning database, the real-time inventory quantity of each subarea product of the target design enterprise is compared with the real-time sales quantity of each subarea product of the target design enterprise, if the real-time sales quantity of the product is larger than the real-time inventory quantity of the product, the supply and the shortage of the subarea products are indicated, accurate reminding is carried out according to the keyword information of the product, and a manager is informed to carry out inventory management of the corresponding subarea products.
The specific judging form of the enterprise product information judging module is as follows:
comparing the product value evaluation coefficient of the target design enterprise product designated subarea with the predicted product value evaluation coefficient, if P > delta P, indicating that the product of the target design enterprise product in the subarea has advantages, and the target design enterprise can increase the exposure of the product of the subarea, otherwise, indicating that the product of the target design enterprise product in the subarea can influence the enterprise image of the target design enterprise. The manager should be notified to proceed with the process.
The invention has the technical effects and advantages that:
1. the invention provides a visual image design system based on information acquisition, which is characterized in that appointed data in each subarea of an enterprise product is designed through acquisition, and the appointed data in each subarea is preprocessed and analyzed to obtain a product value evaluation coefficient, so that the situation that management personnel of the enterprise are limited and cannot timely know real-time change conditions of product information, and products with potential problems cannot be evaluated, so that the enterprise image is threatened, the accuracy of evaluating the product value of the enterprise is improved, the attraction of users to the enterprise product and the success rate of secondary purchase are further improved, and the enterprise is beneficially influenced;
2. according to the invention, the value evaluation coefficient of the product is obtained through analysis by acquiring the product acceptance degree index and the product profit fluctuation index of each subarea of the target design enterprise, and the comparison analysis is carried out according to the real-time inventory of the product, so that the corresponding processing is carried out, thereby realizing the quantifiable evaluation mechanism of the product of each subarea of the target design enterprise and improving the efficiency of enterprise management personnel;
drawings
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a visual image design system based on information collection, which comprises an enterprise product dividing module, an enterprise product information collection module, an enterprise product information preprocessing module, an enterprise product information analysis module, an enterprise product information evaluation module, an enterprise product inventory early warning database and an enterprise product information judgment module.
The enterprise product dividing module is connected with the enterprise product information acquisition module, the enterprise product information acquisition module is connected with the enterprise product information preprocessing module, the enterprise product information preprocessing module is connected with the enterprise product information analysis module, the enterprise product information analysis module is connected with the enterprise product information evaluation module, the enterprise product information evaluation module is connected with the enterprise product inventory early warning database, and the enterprise product inventory early warning database is connected with the enterprise product information judgment module.
A method for sharing context of user input of a dialogue model, characterized in that: comprising the following steps:
an enterprise product dividing module: the method is used for classifying the target design enterprise products according to types, each type is divided into subareas according to colors, and the subareas in the target design enterprise products are numbered 1,2,3 and n in sequence.
The enterprise product information acquisition module: the system is used for acquiring specified data in each subarea of the target design enterprise product, including product sales, product cost, product score, number of customers purchasing the product and number of repeated purchasing times of the customer, and transmitting the result to the enterprise product information preprocessing module.
The enterprise product information preprocessing module: the product information acquisition module is used for receiving product data of the enterprise product information acquisition module, calculating product sales volume ratio through product sales volume, calculating product evaluation average score through product score, calculating product re-purchase rate through product purchasing customer number and repeated purchasing times of customers, and calculating product profit through product sales volume and product cost.
And the enterprise product information analysis module: the product profit margin analysis method is used for analyzing the product sales volume ratio, the product evaluation average score and the product repurchase rate data calculated by the enterprise product information preprocessing module to obtain a target design enterprise product acceptance index Y, and calculating a product profit fluctuation index B through product profit.
The enterprise product information evaluation module: the method is used for extracting the product acceptance index and the product profit fluctuation index of each subarea of the target design enterprise product, calculating the product value evaluation coefficient P of the target design enterprise, and storing the historical product value evaluation coefficient of each subarea of the target design enterprise product.
Enterprise product inventory warning database: the system is used for storing the real-time inventory quantity of the products of the target design enterprise, storing the related keyword information of each product, comparing the keyword information with the sales quantity of the products and sending corresponding processing;
and the enterprise product information judging module is used for: and the product value evaluation coefficient P of each subarea of the enterprise product is compared with the predicted product value evaluation coefficient delta P according to the target design, and corresponding treatment measures are carried out.
In one possible design, the specific collection mode of each subarea of the enterprise product designed by the target in the enterprise product information collection module is as follows:
dividing each type of product of a target design enterprise into subareas according to colors, collecting specified data of the products in each subarea, and numbering i, wherein i=1, 2.
In one possible design, the method for collecting the scores of the subareas of the target design enterprise product in the enterprise product information collecting module is as follows:
dividing each type of product of a target design enterprise into subareas according to colors, collecting the grading grade of each subarea product, and marking the grading grade as A 1 ，A 2 ，A 3 ，A i 。
In one possible design, the product sales ratio formula in the enterprise product information preprocessing module is:
where m is the product sales and α is the product sales ratio.
In one possible design, the product evaluation average score formula in the enterprise product information preprocessing module is:
wherein μ product score average, λ, is expressed as the other impact factor of product score average score, where a is expressed as the product score.
In one possible design, the formula of the repurchase rate of the product in the enterprise product information preprocessing module is as follows:
where β is the rate of repurchase of the product, H is the number of repeat purchases by the customer, and H is the number of customers purchasing the product.
In one possible design, the profit formula of the product in the enterprise product information preprocessing module is:
where ω is the profit of the product, r is the sales of the product, and c is the cost of the product.
In one possible design, the corresponding product acceptance index formula in the enterprise product information analysis module is:
y=α×μ×β×λ, where Y is a product acceptance index, α is a product sales ratio, μ is a product evaluation average score, β is a product repurchase rate, and λ is another influencing factor of product acceptance.
In one possible design, the corresponding product profit margin index formula in the enterprise product information analysis module is:
where B is the profit margin index, ω is the profit of the product, and λ is the other influencing factor of the profit margin of the product.
In one possible design, the product value evaluation coefficient formula in the enterprise product information evaluation module is:
P＝λ 1 *Y+λ 2 * B, wherein Y is a product acceptance index, B is a profit margin index, lambda 1 、λ 2 Expressed as other factors of product acceptance and other factors of fluctuation in product profit, respectively.
In one possible design, the enterprise product inventory warning database is specifically configured in the following manner:
the real-time inventory quantity of each subarea product of the target design enterprise is extracted from the product inventory early warning database, the real-time inventory quantity of each subarea product of the target design enterprise is compared with the real-time sales quantity of each subarea product of the target design enterprise, if the real-time sales quantity of the product is larger than the real-time inventory quantity of the product, the supply and the shortage of the subarea products are indicated, accurate reminding is carried out according to the keyword information of the product, and a manager is informed to carry out inventory management of the corresponding subarea products.
In one possible design, the specific judgment form of the enterprise product information judgment module is as follows:
comparing the product value evaluation coefficient of the target design enterprise product designated subarea with the predicted product value evaluation coefficient, if P > delta P, indicating that the product of the target design enterprise product in the subarea has advantages, and the target design enterprise can increase the exposure of the product of the subarea, otherwise, indicating that the product of the target design enterprise product in the subarea can influence the enterprise image of the target design enterprise. The manager should be notified to proceed with the process.
In this embodiment, it needs to be specifically explained that, by collecting the specified data in each sub-region of the target design enterprise product, and preprocessing the specified data in each sub-region, the product value evaluation coefficient is obtained through analysis, and compared with the product value evaluation coefficient predicted by the enterprise product, the invention can effectively avoid that the enterprise cannot realize the evaluation of the product with potential problems because of limited manager, and the real-time change condition of the product information cannot be known in time, so that the enterprise image is threatened, thereby improving the accuracy of the enterprise to the product value evaluation, further improving the attraction of the user to the enterprise product and the success rate of secondary purchase, and improving the efficiency of the enterprise manager.
In this embodiment, it needs to be specifically explained that the present invention compares the real-time inventory quantity of the products of the target design enterprise with the real-time sales quantity of the products, counts the inventory quantity of the products in each sub-area, and performs corresponding processing according to the result, so as to implement a quantifiable evaluation mechanism of the products in each sub-area, which is beneficial to the development of the target design enterprise.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (7)
1. An information acquisition-based visual image design system, comprising the following characteristics:
an enterprise product dividing module: the method comprises the steps of classifying target design enterprise products according to types, dividing each type into subareas according to colors, and numbering each subarea in the target design enterprise products into 1,2,3 and n in sequence;
the enterprise product information acquisition module: the system comprises a target design enterprise product information preprocessing module, a target design enterprise product information preprocessing module and a target design enterprise product information processing module, wherein the target design enterprise product information preprocessing module is used for acquiring appointed data in each subarea of a target design enterprise product, wherein the appointed data comprises product sales volume, product sales amount, product cost, product score, number of product purchasing clients and repeated purchasing times of clients;
the enterprise product information preprocessing module: the product information acquisition module is used for receiving product data of an enterprise product information acquisition module, calculating a product sales volume ratio through product sales volume, calculating product evaluation average score through product score, calculating product re-purchase rate through product purchasing customer number and repeated purchasing times of customers, and calculating product profit through product sales volume and product cost;
and the enterprise product information analysis module: the product profit margin analysis module is used for analyzing the product sales volume ratio, the product evaluation average score and the product repurchase rate data calculated by the enterprise product information preprocessing module to obtain a target design enterprise product acceptance index Y, and calculating a product profit fluctuation index B through product profit;
the enterprise product information evaluation module: the method comprises the steps of extracting product acceptance indexes and product profit fluctuation indexes of all subareas of a target design enterprise product, calculating a target design enterprise product value evaluation coefficient P, and storing historical product value evaluation coefficients of all subareas of the target design enterprise product;
enterprise product inventory warning database: the system is used for storing the real-time inventory quantity of the products of the target design enterprise, storing the related keyword information of each product, comparing the keyword information with the sales quantity of the products and sending corresponding processing;
and the enterprise product information judging module is used for: and the product value evaluation coefficient P of each subarea of the enterprise product is compared with the predicted product value evaluation coefficient delta P according to the target design, and corresponding treatment measures are carried out.
2. The visual image design system based on information collection according to claim 1, wherein: the specific acquisition mode of each subarea of the target design enterprise product in the enterprise product information acquisition module is as follows:
dividing each type of product of a target design enterprise into subareas according to colors, collecting specified data of the products in each subarea, and numbering i, wherein i=1, 2.
The enterprise product information acquisition module is characterized in that the acquisition mode of scoring the products in each subarea of the target design enterprise product is as follows:
each type of product of the target design enterprise is according toThe color is divided into subareas, the grading grade of the products of the subareas is collected and marked as A 1 ，A 2 ，A 3 ，A i 。
3. The visual image design system based on information collection according to claim 1, wherein: the product sales volume ratio formula in the enterprise product information preprocessing module is as follows:wherein m is expressed as product sales;
the average score formula of product evaluation in the enterprise product information preprocessing module is as follows:wherein λ is represented as the other influencing factor of the product-rating average score, wherein a is represented as the product score;
the formula of the repurchase rate of the products in the enterprise product information preprocessing module is as follows:wherein H represents the repeated purchase times of the clients, and H represents the number of clients for purchasing the product;
the profit formula of the product in the enterprise product information preprocessing module is as follows:
where r is expressed as the sales of the product and c is expressed as the cost of the product.
4. The visual image design system based on information collection according to claim 1, wherein: the corresponding product acceptance index formula in the enterprise product information analysis module is as follows: y=α×μ×β×λ, where λ is expressed as other influencing factors of the product acceptance;
corresponding to the enterprise product information analysis moduleThe product profit fluctuation index formula of (2) is:where lambda is expressed as other influencing factors for fluctuations in product profit.
5. The visual image design system based on information collection according to claim 1, wherein: the product value evaluation coefficient formula in the enterprise product information evaluation module is as follows:
P＝λ 1 *Y+λ 2 * B, wherein lambda 1 、λ 2 Expressed as other factors of product acceptance and other factors of fluctuation in product profit, respectively.
6. The visual image design system based on information collection according to claim 1, wherein: the enterprise product inventory early warning database comprises the following specific modes:
the real-time inventory quantity of each subarea product of the target design enterprise is extracted from the product inventory early warning database, the real-time inventory quantity of each subarea product of the target design enterprise is compared with the real-time sales quantity of each subarea product of the target design enterprise, if the real-time sales quantity of the product is larger than the real-time inventory quantity of the product, the supply and the shortage of the subarea products are indicated, accurate reminding is carried out according to the keyword information of the product, and a manager is informed to carry out inventory management of the corresponding subarea products.
7. The visual image design system based on information collection according to claim 1, wherein: the specific judging form of the enterprise product information judging module is as follows:
comparing the product value evaluation coefficient of the target design enterprise product designated subarea with the predicted product value evaluation coefficient, if P > delta P, indicating that the product of the target design enterprise product in the subarea has advantages, and the target design enterprise can increase the exposure of the product of the subarea, otherwise, indicating that the product of the target design enterprise product in the subarea can influence the enterprise image of the target design enterprise. The manager should be notified to proceed with the process.
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| CN116740063A (en) * | 2023-08-14 | 2023-09-12 | 山东众志电子有限公司 | Glass fiber yarn production quality detection method based on machine vision |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116740063A (en) * | 2023-08-14 | 2023-09-12 | 山东众志电子有限公司 | Glass fiber yarn production quality detection method based on machine vision |
| CN116740063B (en) * | 2023-08-14 | 2023-11-14 | 山东众志电子有限公司 | Glass fiber yarn production quality detection method based on machine vision |
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Application publication date: 20230718 |