Internet financial intelligent management system

Abstract

The invention relates to an internet financial intelligent management system, which comprises a step-by-step building mechanism, a sales analysis mechanism, an information acquisition mechanism, a data extraction component and a target adjustment component. According to the method, the sales data can be intelligently predicted by adopting the convolutional neural network model designed in a targeted structure.

Description

Technical Field

[0001] The present invention relates to the field of Internet finance, and in particular to an Internet finance intelligent management system. Background Art

[0002] Internet finance (ITFIN) refers to a new financial business model in which traditional financial institutions and Internet companies use Internet technology and information and communication technology to achieve financing, payment, investment and information intermediary services. Internet finance is not a simple combination of the Internet and the financial industry, but a new model and new business that naturally arises to adapt to new needs after users are familiar with and accept the network technology level such as security and mobility (especially the acceptance of e-commerce). It is an emerging field that combines the traditional financial industry with Internet technology.

[0003] CN118279034A discloses an analysis method and system for Internet financial risk control reports based on artificial intelligence. By integrating user behavior monitoring data, basic risk control feature paths, and linkage risk control feature paths, it is possible to accurately capture the potential risk behavior characteristics of target risk control nodes and generate corresponding potential risk feature chains, which not only provides a more comprehensive and in-depth risk analysis perspective for risk control personnel, but also realizes rapid response and dynamic adjustment of risk points through path feature coordination configuration and iterative risk control feature path generation. By loading the potential risk feature chain into the basic risk control feature path, an iterative risk control feature path is generated, making the risk control report more forward-looking and dynamic, and being able to reflect risk changes in a timely manner, providing a strong guarantee for the risk management of financial institutions. Thus, the intelligent analysis of Internet financial risk control reports is realized, and the accuracy and real-time performance of risk control reports are improved.

[0004] CN118195608A discloses an online payment system for Internet finance, which belongs to the technical field of online payment systems. It includes a module for collecting habitual position data, collecting QR code data for various scenes, illumination and angles, performing preprocessing of cropping and contrast adjustment on habitual position data, using habitual position data set to establish habitual position model training, using transfer learning on habitual position model, adjusting hyperparameters for tuning to improve model performance, and when the device is used for identification scanning, the identification area of ​​the device needs to actively search for scannable positions, thereby reducing the tedious situation of manual back and forth attempts, reducing time, and can quickly capture and search, avoiding the situation where consumers need to move repeatedly to capture, which is time-consuming and laborious, and at the same time avoiding the situation where there is dust on the box cover or crack damage, which requires repeated searches, thereby improving efficiency and effect.

[0005] CN118012405A discloses a method, device, equipment and storage medium for generating an Internet financial product. First, a user's Internet financial product generation requirement is received; then, a target product template corresponding to the Internet financial product generation requirement is obtained from a pre-configured library, and the target product template is displayed for confirmation by the user; finally, in response to the user's confirmation mark for the target product template, an Internet financial product is generated according to the target product template, thereby realizing the task of generating an Internet financial product. Since the pre-configured library includes a plurality of pre-configured product templates, and the product template is composed of multiple functional components of different types that meet the requirements of functional testing, the user can use the pre-configured product template to quickly develop an Internet financial product without writing a large amount of code or performing heavy functional testing. By means of the present application scheme, the task of generating an Internet financial product with high efficiency can be realized. Summary of the invention

[0006] In order to solve the technical problems in the related fields, the present invention provides an Internet financial intelligent management system, which can train a convolutional neural network multiple times to obtain a convolutional neural network after multiple trainings and output it as a convolutional neural network model. The number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the dish sales APP, so as to customize convolutional neural network models with different structures for different dish sales APPs, which are used to perform intelligent prediction of various dish sales data of the subsequent dish sales APP in any time segment, and also obtain the sales data corresponding to each historical time segment of the dish sales APP before the set time segment and the browsing times corresponding to each historical time segment of the dish sales APP before the set time segment. The single sales data corresponding to each time segment is the number of views corresponding to each dish of the dish sales APP in the time segment. The sales quantity of each portion, as well as the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing APPs of the dish sales APP, and the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing APPs of the dish sales APP, so as to provide reliable basic information for the subsequent intelligent prediction of various dish sales data of the dish sales APP in any time segment, and determine the number of preparation personnel corresponding to each dish of the dish sales APP in the set time segment based on the intelligent prediction of the sales quantity of each portion corresponding to each dish of the dish sales APP in the set time segment, wherein, the fewer the sales quantity corresponding to each dish of the dish sales APP in the set time segment, the fewer the number of preparation personnel determined for the dish in the set time segment, thereby taking into account the preparation rate of various dishes and the full utilization of limited preparation human resources.

[0007] According to the present invention, an Internet financial intelligence management system is provided, the system comprising: A step-by-step building mechanism is used to build a convolutional neural network model step by step, wherein the step-by-step building of the convolutional neural network model is used to train the convolutional neural network multiple times to obtain a convolutional neural network after completing multiple trainings and output it as a convolutional neural network model, and the number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the food sales APP; The sales analysis unit is used to obtain the sales data corresponding to each historical time segment of the dish sales APP before the set time segment and the number of views corresponding to each historical time segment of the dish sales APP before the set time segment. The single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment; The information collection agency is used to obtain the number of dishes on sale, the floor space of the operation and management area, the total number of registered users, and the number of competing apps of the dish sales APP, and output the number of dishes on sale, the floor space of the operation and management area, the total number of registered users, and the number of competing apps of the dish sales APP as multiple pieces of related information of the dish sales APP; The data extraction component is connected to the step-by-step organization mechanism, the sales analysis mechanism and the information collection mechanism respectively, and is used to use a convolutional neural network model to intelligently predict the sales quantities of various dishes of the dish sales APP in the set time segment based on the duration of each time segment, the sales data of each historical time segment corresponding to the dish sales APP before the set time segment, the number of views of each historical time segment corresponding to the dish sales APP before the set time segment, and multiple related information of the dish sales APP; A target adjustment component, connected to the data extraction component, is used to determine the number of people preparing dishes for each dish in the dish sales APP within the set time segment based on the sales quantity of each dish in the dish sales APP within the set time segment; Wherein, determining the number of preparation staff for each dish corresponding to each dish in the dish sales APP in the set time segment based on the sales quantity of each dish corresponding to each dish in the dish sales APP in the set time segment includes: the smaller the sales quantity corresponding to each dish in the dish sales APP in the set time segment, the smaller the number of preparation staff determined for the dish in the set time segment; Among them, the sales data corresponding to each historical time segment before the set time segment and the browsing times corresponding to each historical time segment before the set time segment of the dish sales APP are obtained, and the single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment, including: the set time segment and the historical time segments before the set time segment form a complete time area on the time axis and the duration of each time segment is the same.

[0008] It can be seen that the present invention has at least the following three main inventive concepts: First, the convolutional neural network is trained multiple times to obtain a convolutional neural network after multiple training and output as a convolutional neural network model. The number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the food sales APP, so as to customize convolutional neural network models with different structures for different food sales APPs, so as to perform intelligent prediction of various food sales data of subsequent food sales APPs at any time segment; Second: obtaining the sales data corresponding to each historical time segment before the set time segment and the browsing counts corresponding to each historical time segment before the set time segment of the dish sales APP, the single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment, and obtaining the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing APPs of the dish sales APP, and the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing APPs of the dish sales APP, so as to provide reliable basic information for the subsequent intelligent prediction of various dish sales data of the dish sales APP in any time segment; The third part: Determine the number of preparation staff for each dish corresponding to the dish sales APP within the set time segment based on the intelligent prediction of the sales quantity of each dish within the set time segment, wherein, the fewer the sales quantity corresponding to each dish on the dish sales APP within the set time segment, the fewer the number of preparation staff determined for the dish within the set time segment, thereby taking into account the preparation rate of various dishes and the full utilization of limited preparation human resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0010] Figure 1 It is a structural block diagram of an Internet financial intelligent management system according to the primary embodiment of the present invention.

[0011] Figure 2 It is a structural block diagram of an Internet financial intelligent management system according to a secondary embodiment of the present invention.

[0012] Figure 3 The figure is a structural block diagram of an Internet financial intelligent management system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0013] With the rapid development of Internet finance, selling dishes and collecting financial repayments through the Internet is currently a primary way of Internet financial payment. However, for dish sales apps, it is impossible to accurately predict the sales data of various dishes of the dish sales app at any time segment in the future, which makes it difficult to effectively determine the number of dish preparation staff corresponding to each dish of the dish sales app within the time segment, which easily leads to the dilemma of slow dish preparation speed or excessive dish preparation staff.

[0014] The embodiment of the Internet financial intelligent management system of the present invention will be described in detail below with reference to the accompanying drawings.

[0015] Figure 1 The structure block diagram of the Internet financial intelligence management system according to the primary embodiment of the present invention is shown, and the system includes: A step-by-step building mechanism is used to build a convolutional neural network model step by step, wherein the step-by-step building of the convolutional neural network model is used to train the convolutional neural network multiple times to obtain a convolutional neural network after completing multiple trainings and output it as a convolutional neural network model, and the number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the food sales APP; For example, a step-by-step building mechanism is used to build a convolutional neural network model step by step, wherein the step-by-step building convolutional neural network model is used to train the convolutional neural network multiple times to obtain a convolutional neural network after multiple trainings and output it as a convolutional neural network model, and the number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the food sales APP, including: the step-by-step building mechanism is an ASIC device; The sales analysis unit is used to obtain the sales data corresponding to each historical time segment of the dish sales APP before the set time segment and the number of views corresponding to each historical time segment of the dish sales APP before the set time segment. The single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment; The information collection agency is used to obtain the number of dishes on sale, the floor space of the operation and management area, the total number of registered users, and the number of competing apps of the dish sales APP, and output the number of dishes on sale, the floor space of the operation and management area, the total number of registered users, and the number of competing apps of the dish sales APP as multiple pieces of related information of the dish sales APP; The data extraction component is connected to the step-by-step organization mechanism, the sales analysis mechanism and the information collection mechanism respectively, and is used to use a convolutional neural network model to intelligently predict the sales quantities of various dishes of the dish sales APP in the set time segment based on the duration of each time segment, the sales data of each historical time segment corresponding to the dish sales APP before the set time segment, the number of views of each historical time segment corresponding to the dish sales APP before the set time segment, and multiple related information of the dish sales APP; A target adjustment component, connected to the data extraction component, is used to determine the number of people preparing dishes for each dish in the dish sales APP within the set time segment based on the sales quantity of each dish in the dish sales APP within the set time segment; Wherein, determining the number of preparation staff for each dish corresponding to each dish in the dish sales APP in the set time segment based on the sales quantity of each dish corresponding to each dish in the dish sales APP in the set time segment includes: the smaller the sales quantity corresponding to each dish in the dish sales APP in the set time segment, the smaller the number of preparation staff determined for the dish in the set time segment; Among them, the sales data corresponding to each historical time segment before the set time segment of the dish sales APP and the browsing times corresponding to each historical time segment before the set time segment of the dish sales APP are obtained, and the single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment, including: the set time segment and each historical time segment before the set time segment form a complete time area on the time axis and the duration of each time segment is the same; And wherein, the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing apps of the dish sales APP are obtained, and the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing apps of the dish sales APP are output as multiple related information of the dish sales APP, including: the number of competing apps of the dish sales APP is the number of multiple APPs selling dishes in the operation and management area responsible for the dish sales APP minus 1.

[0016] Figure 2 It is a structural block diagram of an Internet financial intelligent management system according to a secondary embodiment of the present invention.

[0017] Compared to Figure 1 , Figure 2 The Internet financial intelligence management system can also include: A targeted detection component is connected to the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, respectively, and is used to measure the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively; Wherein, the targeted detection component is respectively connected with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used to respectively measure the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, including: the targeted detection component includes a plurality of current measurement units, which are respectively connected with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, so as to complete the measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism; Wherein, the targeted detection component includes a plurality of current measurement units, which are used to respectively connect with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism to complete the respective measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, including: the plurality of current measurement units are a plurality of current sensing circuits, which are used to respectively connect with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism to complete the respective measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism; Wherein, the multiple current measurement units are multiple current sensing circuits, which are used to be connected to the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively, so as to complete the measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively, including: the structures of the multiple current sensing circuits are the same; Among them, the multiple current measurement units are multiple current sensing circuits, which are used to be connected to the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively, so as to complete the separate measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively, and also include: the multiple current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.

[0018] Figure 3 The figure is a structural block diagram of an Internet financial intelligent management system according to another embodiment of the present invention.

[0019] Compared to Figure 1 , Figure 3 The Internet financial intelligence management system can also include: A real-time display component, connected to a plurality of current sensing circuits of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, respectively, for displaying in real time the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism; Wherein, the real-time display component is respectively connected to the multiple current sensing circuits of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used to display the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism in real time, including: the real-time display component is an LED display array composed of multiple LED display units; And wherein, the real-time display component is respectively connected to multiple current sensing circuits of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used to display the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism in real time, including: the real-time display component is an LCD display array composed of multiple LCD display units.

[0020] In addition, in the Internet financial intelligent management system, a step-by-step organization is used to build a convolutional neural network model step by step, wherein the step-by-step organization of the convolutional neural network model is used to train the convolutional neural network multiple times to obtain a convolutional neural network after multiple trainings and output it as a convolutional neural network model, and the number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the vegetable sales APP, including: using a content conversion function to represent the content conversion relationship that the number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the vegetable sales APP; And wherein, the content conversion relationship that uses a content conversion function to represent the positive correlation between the number of times the convolutional neural network is trained and the floor area of ​​the operation and management area of ​​the food sales APP includes: in the content conversion function, the floor area of ​​the operation and management area of ​​the food sales APP is the input content, and the number of times the convolutional neural network is trained is the output content.

[0021] The Internet financial intelligent management system of the present invention is used to address the technical problem in the prior art that it is difficult to balance the preparation rates of various dishes and the full utilization of limited preparation human resources. By adopting a convolutional neural network model with a targeted structural design, the sales data of various dishes of the dish sales APP in any time segment is intelligently predicted, and then the number of preparation personnel corresponding to each dish of the dish sales APP in the time segment is determined, thereby balancing the preparation rates of various dishes and the full utilization of limited preparation human resources, and solving the above technical problems.

[0022] The various features of the present invention have been described in detail in conjunction with the embodiments. However, it should be understood that these specific descriptions are only exemplary and that the present invention can be most fully interpreted within the scope of the appended claims.

Claims

1. An Internet financial intelligent management system, characterized in that: The system comprises: A step-by-step building mechanism is used to build a convolutional neural network model step by step, wherein the step-by-step building of the convolutional neural network model is used to train the convolutional neural network multiple times to obtain a convolutional neural network after completing multiple trainings and output it as a convolutional neural network model, and the number of times the convolutional neural network is trained is positively correlated with the floor area of ​​the operation and management area of ​​the food sales APP; The sales analysis unit is used to obtain the sales data corresponding to each historical time segment of the dish sales APP before the set time segment and the number of views corresponding to each historical time segment of the dish sales APP before the set time segment. The single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment; The information collection agency is used to obtain the number of dishes on sale, the floor space of the operation and management area, the total number of registered users, and the number of competing apps of the dish sales APP, and output the number of dishes on sale, the floor space of the operation and management area, the total number of registered users, and the number of competing apps of the dish sales APP as multiple pieces of related information of the dish sales APP; The data extraction component is connected to the step-by-step organization mechanism, the sales analysis mechanism and the information collection mechanism respectively, and is used to use a convolutional neural network model to intelligently predict the sales quantities of various dishes of the dish sales APP in the set time segment based on the duration of each time segment, the sales data of each historical time segment corresponding to the dish sales APP before the set time segment, the number of views of each historical time segment corresponding to the dish sales APP before the set time segment, and multiple related information of the dish sales APP; A target adjustment component, connected to the data extraction component, is used to determine the number of people preparing dishes for each dish in the dish sales APP within the set time segment based on the sales quantity of each dish in the dish sales APP within the set time segment; Wherein, determining the number of preparation staff for each dish corresponding to each dish in the dish sales APP in the set time segment based on the sales quantity of each dish corresponding to each dish in the dish sales APP in the set time segment includes: the smaller the sales quantity corresponding to each dish in the dish sales APP in the set time segment, the smaller the number of preparation staff determined for the dish in the set time segment; Among them, the sales data corresponding to each historical time segment before the set time segment and the browsing times corresponding to each historical time segment before the set time segment of the dish sales APP are obtained, and the single sales data corresponding to each time segment is the sales quantity corresponding to each dish of the dish sales APP in the time segment, including: the set time segment and the historical time segments before the set time segment form a complete time area on the time axis and the duration of each time segment is the same.

2. The Internet financial intelligence management system according to claim 1, characterized in that: The number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing apps of the dish sales APP are obtained, and the number of dishes on sale, the floor area of ​​the operation and management area, the total number of registered users and the number of competing apps of the dish sales APP are output as multiple related information of the dish sales APP, including: the number of competing apps of the dish sales APP is the number of multiple dishes selling APPs in the operation and management area responsible for the dish sales APP minus 1.

3. The Internet financial intelligence management system according to claim 2, characterized in that: The system further comprises: A targeted detection component is connected to the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, respectively, and is used to measure the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively; Among them, the targeted detection component is respectively connected with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used to respectively measure the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism. The targeted detection component includes multiple current measurement units, which are used to be respectively connected with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism to complete the respective measurements of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism.

4. The Internet financial intelligence management system according to claim 3, characterized in that: The targeted detection component includes multiple current measurement units, which are used to connect with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively to complete the measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively. The multiple current measurement units are multiple current sensing circuits, which are used to connect with the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively to complete the measurement of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively.

5. The Internet financial intelligence management system according to claim 4, characterized in that: The multiple current measurement units are multiple current sensing circuits, which are used to be connected to the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively, so as to complete the respective measurements of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, including: the structures of the multiple current sensing circuits are the same.

6. The Internet financial intelligence management system according to claim 5, characterized in that: The multiple current measurement units are multiple current sensing circuits, which are used to be connected to the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism respectively, so as to complete the respective measurements of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and also include: the multiple current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.

7. The Internet financial intelligence management system according to claim 3, characterized in that: The system further comprises: A real-time display component is respectively connected to multiple current sensing circuits of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used to display the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism in real time.

8. The Internet financial intelligence management system according to claim 7, characterized in that: A real-time display component is respectively connected to a plurality of current sensing circuits of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used for real-time display of the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism. The real-time display component is an LED display array composed of a plurality of LED display units.

9. The Internet financial intelligence management system according to claim 7, characterized in that: A real-time display component is respectively connected to multiple current sensing circuits of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism, and is used to display the current real-time current values ​​of the data extraction component, the step-by-step assembly mechanism, the sales analysis mechanism and the information collection mechanism in real time. The real-time display component includes an LCD display array composed of multiple LCD display units.

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