CN109754276A - Method and system, recording medium and computer program product for collecting and distributing big data - Google Patents

Abstract

A kind of method collected and shared in the benefit the present invention provides big data, it is applied to a data collection and system of sharing in the benefit, this method includes the following steps: to be received a consumption microdata transmitted by the user terminal as an equity computing module, it verifies whether the consumption microdata meets the data format of regulation data, and is stored in a people microdata account；The consumption microdata is classified according to a predtermined category code by the equity computing module, and is stored in a central data database of the data collection and system of sharing in the benefit；And evaluation is carried out to the consumption microdata by the equity computing module and gives an equity value, and provider's equity that the equity value is stored in the data collection and system of sharing in the benefit is shared in the benefit a personal interests account of module.

Description

Method and system, recording medium and computer program for collecting and profiting big data product

technical field

The present invention relates to the technical field of computer information, in particular, to a method and system for collecting and profiting from big data, a recording medium and a computer program product.

Background technique

In recent years, in order to comply with the big data commodity market trend and its derived business profit model, the world's advanced information countries have devoted huge resources to study data collection and analysis techniques, so as to produce various big data commodities for profit, and strive to make profits in this commodity. dominant position in the trading market.

The conventional big data commodity production methods are mostly based on the basis that business operators have previously accumulated a large amount of historical transaction data. Business operators with such large amounts of historical transaction data either perform operations on their own large amounts of historical transaction data to produce big data commodities, or provide large amounts of historical transaction data to big data commodity producers for computation. Under the above circumstances, the prior technologies developed include the evolution of computing technologies and related technologies for the purpose of manufacturing big data commodities or serving as a reference for other product improvements based on existing databases. For example, the Chinese Taiwan Invention Patent Notice No. I303371 "Data Processing System and Method" focuses on the simultaneous execution of other operating procedures, and China Taiwan Invention Patent Publication No. I554959 "Visual Data Analysis System and Operation Method of Data Supermarket" focuses on data analysis mechanism.

In terms of technology, the basic assumptions on which the conventional big data commodity exchanges are based, and the technologies developed based on the basic assumptions, are mostly based on the fact that business operators obtain consumer transaction information one by one through business activities (hereinafter referred to as The "micro data"), and then aggregated into a database and its applications, and become the object of attention and research goals.

As mentioned above, conventional big data commodities are composed of thousands of microdata, but the niche of a single microdata as a commodity element is too weak and has no commodity value. Under this inherent disadvantage, a single consumer The inability to use microdata to trade and enter the big data commodity market means that traders in the existing big data commodity exchange market essentially exclude a single consumer.

Therefore, the supply and demand sides of the existing big data commodity market are mostly enterprises, all of which widely use big data commodities based on micro data to make profits, but individual consumers who create commodities with micro data as the elements of big data commodities are not limited by the commodity of single micro data. The value may be negligible, unless big data users actively give back, it can be said that there is no way to profit from the micro data they have.

As far as rights and interests are concerned, when using data in existing databases, prior technologies mostly only deal with the rights and interests of business operators, that is, data holders. In the era of huge amounts of data, it is the trend of the times to strengthen respect for individual rights of users. trend. The personal data protection legal system can only passively provide a post-event relief channel when consumers' personal data is used illegally, resulting in illegal infringement of rights and interests, but it cannot give consumers the specific economic benefits of using the benefited personal data.

SUMMARY OF THE INVENTION

In view of the above problems, the purpose of the present invention is to provide a method and system for collecting and profiting from big data, a recording medium and a computer program product, so that consumers can contribute microdata independently, gather a large amount of microdata, and accumulate a lot to generate Big data commodities, obtain seller status, participate in big data commodity market activities and make profits accordingly.

Another object of the present invention is that the user can actively provide microdata after agreeing to the authorization, and authorize the use of the provided microdata to generate the big data commodity, so that the provided microdata has the legal right source of the largest data commodity element.

Another object of the present invention is that the micro-databases that generate big data are different types of micro-databases created by different types of consumers of different types of consumption. types of big data commodities.

The first aspect of the present invention is to provide a method for collecting and profiting from big data, which is applied to a system for collecting and profiting from data, and the method includes the following steps:

A management module of the data collection and profit sharing system receives a data transaction request sent from a user terminal, and sends a data transaction screen data to the user terminal according to the data transaction request;

The management module receives a sales data request sent from the user terminal, and sends a micro-data to provide screen data to the user terminal according to the sales data request;

A benefit calculation module of the data collection and profit sharing system receives a consumption micro-data sent from the user terminal, verifies whether the consumption micro-data conforms to the specified data format, and stores the consumption micro-data in the data collection and a personal micro-data account of a micro-data collection management module of the profit-sharing system;

The verified consumption micro-data is classified according to a predetermined classification code by the benefit calculation module, and the classified consumption micro-data is stored in a plurality of data sub-databases of a central data database of the data collection and profit sharing system A data sub-database for the corresponding classified consumption microdata in the ; and

The consumer micro-data is evaluated by the equity calculation module to give an equity value, and the equity value is stored in a personal equity account of a supplier equity sharing module of the data collection and profit sharing system.

A second aspect of the present invention is to provide a method for collecting and profiting from big data, which is applied to a system for collecting and profiting from data, and the method includes the following steps:

A management module of the data collection and profit sharing system receives a purchase data request sent from a user terminal, and sends a big data commodity demand screen data to the user terminal according to the purchase data request;

A big data evaluation module of the data collection and profit sharing system receives a commodity feedback condition data sent from the user terminal, and searches for data that meets the commodity feedback condition in a central data database of the data collection and profit sharing system a consumption microdata, and calculate the number of corresponding consumption microdata that constitutes a big data commodity, evaluate the value of the big data commodity according to the number of consumption microdata to obtain the value of the big data, and assign Send the number and value of the big data commodity to the user terminal;

A payment completion message is sent by a financial management module of the data collection and profit sharing system to the big data valuation module, and the big data valuation module sends the big data commodity to the data collection and profit sharing system according to the payment completion message. A large data tabulation module;

The big data tabulation module makes various data of the big data commodity into a commodity analysis spreadsheet and a commodity analysis chart, and sends the commodity analysis spreadsheet and the commodity analysis chart to the user terminal; and

The big data evaluation module calculates a profit share value obtained from the consumption micro-data that constitutes the big data commodity according to the evaluated big data value amount, and transmits it to a supplier's rights and interests of the data collection and profit share system A personal equity account corresponding to the consumption micro-data of the profit-sharing module.

The third aspect of the present invention is to provide a data collection and profit sharing system, which includes a governance module, an equity calculation module, a central data database, a big data evaluation module, a supplier equity profit sharing module, and a financial management module module and a big data tabulation module, the data collection and profit sharing system implements the big data collection and profit sharing method as the first mode or the second mode.

The fourth aspect of the present invention is to provide a recording medium storing a program. After a data collection and profit sharing system loads the program and executes the program, the big data collection and collection of the first or second aspect of the present invention can be completed. Dividing method.

A fifth aspect of the present invention is to provide a computer program product that stores a program. When a data collection and profit sharing system loads and executes the program, the big data collection of the first or second aspect of the present invention can be completed. and method of distribution.

Description of drawings

1 is a block diagram of a data collection and profit sharing system and a user terminal of the present invention;

Fig. 2 is the flow chart that the new member of the present invention joins;

FIG. 3 is a member screen for joining the data collection and profit sharing system 20 of the present invention;

4A and 4B are member terms screen of the present invention;

Fig. 5 is the member registration screen of the present invention;

Fig. 6 is the registration success notification screen of the present invention;

Fig. 7 is the flow chart of the method for big data collection and profit sharing of the present invention;

Fig. 8 is the member login screen of the present invention;

Fig. 9 is the buy data/sell data screen of the present invention;

Fig. 10 provides the picture for the microdata of the present invention;

Fig. 11 is the selection screen of the present invention's selection to send consumption micro-data mode;

FIG. 12 is a camera screen of the user terminal of the present invention

Fig. 13 is the picture of consumption pattern of the present invention;

Figure 14 is the personal rights account screen of the present invention;

15 is a big data commodity demand screen of the present invention;

FIG. 16 is a screen showing that the search result of the present invention does not meet the requirement data;

Fig. 17 is a special request big data commodity screen of the present invention;

18 is an order quotation notification screen of the present invention;

Fig. 19 is the order content screen of the present invention;

Fig. 20 is the payment screen of the present invention;

Figure 21 is a schematic diagram of an item analysis spreadsheet of the present invention; and

FIG. 22 is a schematic diagram of a commodity analysis chart of the present invention.

Symbol Description

10 User terminals

12 Display devices

14 Input devices

20 Data collection and profit sharing system

22 Governance Modules

24 Big Data Valuation Modules

26 Financial Management Modules

28 Supplier equity sharing module

30 Equity calculation module

32 Micro data collection management module

34 Big Data Tabulation Modules

36 member database

38 Central data database

40 Data sub-database

42 Data sub-database

44 Data sub-database

Detailed ways

In order to enable those skilled in the art to which the present invention pertains to further understand the present invention, preferred embodiments of the present invention are specifically listed below, and in conjunction with the accompanying drawings, the composition of the present invention and the desired effects will be described in detail. .

FIG. 1 is a block diagram of a data collection and profit sharing system and a user terminal of the present invention. In FIG. 1 , a user terminal 10 includes a display device 12 and an input device 14 , however, the user terminal 10 also includes hardware components such as processing units, interface transmission units, storage devices, etc., which are not shown in the icons, to work together. The user terminal 10 may be a computer, a tablet computer, a smart phone, or the like.

A data collection and profit sharing system 20 includes a governance module 22, a big data evaluation module 24, a financial management module 26, a supplier equity profit sharing module 28, an equity calculation module 30, a micro data collection management module 32, A big data tabulation module 34 , a member database 36 , and a central data database 38 . The central data database 38 includes a plurality of data sub-databases 40, 42, 44, wherein the data sub-databases 40, 42, 44 are, for example, beverage data sub-databases, clothing data sub-databases, electronic data sub-databases, Databases such as medical service data sub-databases, transportation data sub-databases or beauty salon data sub-databases, etc., the data sub-databases in the present invention are not limited to three data sub-databases, and any number of data sub-databases can be set according to requirements. .

The data collection and profit sharing system 20 also includes hardware components such as interface transmission units, input devices, and display devices that are not shown in the drawings to work together, and each module in the data collection and profit sharing system 20 may be software, hardware, or firmware. It is constituted to execute the process steps of the method for collecting and profiting from big data of the present invention.

The user inputs a new member joining request, an authorization message, a member data, a data trading request, a selling data request, and a buying data request into the input device 14 of the user terminal 10, and the user terminal 10 sends the new member joining request , the authorization message, the member data, the data trading request, the selling data request, and the buying data request to the governance module 22 of the data collection and profit sharing system 20 .

The management module 22 sends a member terms screen data, a member registration screen data, a data trading screen data, and a micro data according to the new member joining request, the authorization message, the data trading request, the selling data request, and the buying data request. Provide the screen data and the big data commodity demand screen data to the user terminal 10, and the user terminal 10 receives the membership terms screen data, the member registration screen data, the data trading screen data, the micro data provision screen data, and the big data commodity demand screen data. , Commodity analysis spreadsheets and commodity analysis charts on the display device 12 to display a member terms screen, a member registration screen, a data trading screen, a micro-data providing screen and a big-data product demand screen.

The management module 22 receives the member data sent from the user terminal 10, and verifies whether the member data input by the user conforms to the prescribed format. If the member data entered by the user does not conform to the prescribed format, that is, the entered member data is incorrect or missing, the management module 22 sends an error message to the user terminal 10, and the display device 12 of the user terminal 10 displays the error message and instructs the user to input the correct membership data; if the membership data input by the user conforms to the specified format , the management module 22 compiles a member number corresponding to the member data, and stores the member number and the corresponding member data in the member database 36 of the data collection and profit sharing system 20 . Among them, member data includes name, date of birth, ID number, gender, address, mobile phone number and email account.

The benefit calculation module 30 of the data collection and profit sharing system 20 receives a consumption micro-data sent from the user terminal 10, and verifies whether the consumption micro-data input by the user conforms to the data format of the specified data, if the membership data input by the user If the data format of the specified data is not met, that is, the input consumption micro-data is wrong or missing, the benefit calculation module 30 sends an error message to the user terminal 10, and the display device 12 of the user terminal 10 displays the error message and indicates The user inputs correct consumption micro-data; if the consumption micro-data input by the user conforms to the data format of the specified data, the benefit calculation module 30 stores the consumption micro-data in a personal micro-data account of the micro-data collection management module 32 . Wherein, the consumption micro-data sent from the user terminal 10 is sent in a data format or a photo file, and the consumption micro-data includes consumption time, consumption location, consumption type, consumption content, consumption amount and consumption amount. .

The benefit calculation module 30 classifies the verified consumption micro-data according to a predetermined classification code, and stores the classified consumption micro-data in the data sub-databases 40 , 42 and 44 of the central data database 38 of the data collection and profit sharing system 20 . In a data sub-database corresponding to the classified category of the consumption microdata, for example, beverage data sub-database, clothing data sub-database, electronic data sub-database, medical service data sub-database, transportation data sub-database or beauty salon data sub-database and so on. The predetermined classification code is a Harmonized System Code (HScode) or a Standard Classification of China Code (CCCcode) in China.

The benefit calculation module 30 evaluates the consumption micro-data to give a benefit value (such as bonus points or cash equivalent points), and stores the benefit value in the supplier benefit sharing module 28 of the data collection and profit sharing system 20. In the equity account, the individual equity account corresponds to the account of the user who provides the consumption microdata.

The big data evaluation module 24 receives a commodity feedback condition data sent from the user terminal 10, such as consumption area, consumption number, consumption type, consumption amount, consumption age or consumption gender and other commodity feedback condition data, and searches in the central data database. For each consumption microdata that meets the product feedback condition data, temporarily store each corresponding consumption microdata in an offer file, and calculate the number of consumption microdata that constitutes a big data commodity, according to the consumption microdata. The number of data items is used to evaluate the value of the big data commodity to obtain a large data value amount. The big data evaluation module 24 sends the number and value of the big data commodity to the user terminal 10 to display the big data item on the display device 12. The number and value of data commodities are displayed to users for viewing.

When the financial management module 26 receives a payment notification that the user has paid the big data value amount, the financial management module 26 transmits a payment completion message to the big data evaluation module 24, and the big data evaluation module 24 transmits the big data according to the payment completion message Commodities to Big Data Tabulation Module 34. The big data tabulation module 34 produces a product analysis spreadsheet and a product analysis chart, and sends the product analysis spreadsheet and product analysis chart to the user. The terminal 10 displays a product analysis spreadsheet and a product analysis chart on the display device 12 for the user to analyze and study.

The big data evaluation module 24 calculates a profit share value obtained by each consumption micro-data that constitutes a big data commodity according to the evaluated amount of the big data value, and stores the profit share value in the supplier's rights share module. 28 in the corresponding personal rights account of users who provide micro-data for each consumption.

The following descriptions provide illustrative descriptions for the implementation manners, processes, and specific embodiments of the present invention; the descriptions cover the special purpose to be achieved by the present invention, as well as the system architecture and methods, steps, and sequences for achieving the purpose. Wait.

FIG. 2 is a flow chart of a new member joining according to the present invention. In FIG. 2 , when a user wants to make a profit from the consumption micro-data generated by his own consumption to join the data collection and profit sharing system 20 to become his member, the display device 12 of the user terminal 10 displays the information about joining the data collection and the profit sharing system 20 . The member's App of the profit-sharing system 20 or logging into its web page, as shown in FIG. 3 , is the member screen for joining the data collection and profit-sharing system 20 of the present invention.

The user inputs a new member joining request to join the data collection and profit sharing system 20 on the input device 14 of the user terminal 10 to become a new member, and the user terminal 10 sends the new member joining request to the management of the data collection and profit sharing system 20 Module 22 (step S50).

After the management module 22 receives the new member joining request sent from the user terminal 10, the management module 22 sends a membership clause screen data to the user terminal 10 of the user who applies for membership according to the new member joining request.

After the user terminal 10 receives the member terms screen material, the display device 12 displays the member terms screen, as shown in Figs. 4A and 4B for the member terms screen of the present invention. The user views the items stipulated in the membership terms in the membership terms screen of FIG. 4A , and when agreeing to the terms stipulated in the membership terms, the user clicks the option “I am sure to become a member” through the input device 14 in FIG. 4B to generate a The authorization message is sent from the user terminal 10 to the management module 22 (step S52).

After the management module 22 receives the authorization message sent from the user terminal 10, the management module 22 sends a member registration screen data to the user terminal 10 of the user who applies for membership according to the authorization message.

After the user terminal 10 receives the member registration screen information, the display device 12 displays the member registration screen, as shown in FIG. 5 , which is the member registration screen of the present invention. The user inputs member data such as date of birth, ID number and password through the input device 14 according to the items displayed on the member registration screen, and can then input name, gender, address, mobile phone number, email account, etc., depending on actual needs Member data. The user terminal 10 transmits the member data input by the user in accordance with the items displayed on the member registration screen to the management module 22 (step S54).

The management module 22 receives the member data sent from the user terminal 10, and verifies whether the member data input by the user conforms to the prescribed format. If the member data entered by the user does not conform to the prescribed format, that is, the entered member data is incorrect or missing, the management module 22 sends an error message to the user terminal 10 of the user who applies for membership, and the display device 12 of the user terminal 10 displays the error message and instructs the user to input the correct membership data; If the data conforms to the prescribed format, the management module 22 compiles a member number corresponding to the member data, and stores the member number and the corresponding member data in the member database 36 of the data collection and profit sharing system 20 (step S56).

Next, the management module 22 sends a registration success notification screen data to the user terminal 10 . After the user terminal 10 receives the registration success notification screen data, the display device 12 displays the registration success notification screen, as shown in FIG.

FIG. 7 is a flowchart of the method for collecting and profiting big data according to the present invention. In FIG. 7, after the user becomes a member of the data collection and profit sharing system 20, the user enters the data collection and profit sharing system 20 through the user terminal 10, and the management module 22 of the data collection and profit sharing system 20 sends a member login The screen data is sent to the user terminal 10 of the user who applied for membership.

After the user terminal 10 receives the member login screen information, the display device 12 displays the member login screen, as shown in FIG. 8 , which is the member login screen of the present invention. The user inputs the account number and password through the input device 14 of the user terminal 10 , and the user terminal 10 sends the entered account number and password to the data collection and profit sharing system 20 . The management module 22 of the data collection and profit sharing system 20 verifies whether the account number and password input by the user are correct. When the account number and password input by the user are correct, the data collection and profit sharing system 20 allows the user to buy or sell data subsequently. program of.

When the user wants to perform the procedure of buying data or selling data, the user sends a data buying/selling data request to the data collection and profit sharing system 20 through the user terminal 10, and the management module 22 of the data collection and profit sharing system 20 according to the data collection and profit sharing system 20 The buy data/sell data request transmits a buy and sell data screen data to the user terminal 10 of the user who buys or sells data. The user terminal 10 receives the transaction data screen data and displays a transaction data screen on the display device 12, as shown in FIG. 9 for the purchase data/sell data screen of the present invention (step S60).

When the user wants to provide his own micro data to the data collection and profit sharing system 20 to make it into a big data commodity for sale, the user uses the input device 14 of the user terminal 10 to display the transaction data screen on the display device 12 Click the option of "selling data", and the user terminal 10 sends a selling data request to the data collection and profit sharing system 20 .

After the management device 22 of the data collection and profit sharing system 20 receives the selling data request sent from the user terminal 10, the management module 22 sends a micro-data according to the selling data request to provide the screen data to the user terminal of the user who sells the data. 10. After the user terminal 10 receives the micro-data providing screen data, the display device 12 displays the micro-data providing screen, as shown in FIG. 10 for the micro-data providing screen of the present invention (step S62).

Through the input device 14 of the user terminal 10, the user inputs the consumption time, consumption location, consumption type, consumption content, consumption amount and consumption amount on the micro-data providing screen displayed on the display device 12. Micro-data, the user terminal 10 sends the inputted consumption micro-data including consumption time, consumption location, consumption type, consumption content, consumption amount and consumption amount to the data collection and profit sharing system 20 .

FIG. 11 is a selection screen of the selection method of the present invention, and FIG. 12 is a camera screen of the user terminal of the present invention. The consumption micro-data sent from the user terminal 10 can be sent in a data format or a photo file. The user terminal 10 displays the selection screen data sent by the data collection and profit sharing system 20 on the display device 12 as shown in FIG. 11 . screen, when the user selects the option of “photographing and uploading consumption details” through the input device 14, the display device 12 displays the screen shown in FIG. The photo electronic file is stored in the user terminal 10, and the user terminal 10 can send the photo electronic file of consumption details to the data collection and profit sharing system 20 as consumption micro-data.

The benefit calculation module 30 of the data collection and profit sharing system 20 receives the above-mentioned consumption micro-data sent from the user terminal 10, and verifies whether the consumption micro-data input by the user conforms to a specified data data format. The member data does not conform to the specified data data format, that is, the input consumption micro data is wrong or missing, the benefit calculation module 30 sends an error message to the user terminal 10 of the user who sent the consumption micro data, and the user terminal 10 sends an error message. The display device 12 displays the error message and instructs the user to input the correct consumption micro-data; if the consumption micro-data input by the user conforms to the data format of the specified data, the benefit calculation module 30 stores the consumption micro-data in one of the micro-data collection management modules 32 in the personal micro-data account (step S64). Wherein, the personal microdata account is the account of the user correspondingly providing the consumption microdata.

For example, consumption patterns in the verified consumption micro-data (the user can display on the display device 12 as shown in FIG. According to the present invention, the consumption pattern shown in the screen is clicked) or the consumption content is classified, and the classified consumption micro-data is stored in the data sub-databases 40 and 42 of the central data database 38 of the data collection and profit sharing system 20. , in a data sub-database corresponding to the classified category of the consumption microdata in 44, for example, a data sub-database for beverages, a data sub-database for clothing, a data sub-database for electronics, and a data sub-database for medical services , a data sub-database for transportation or a data sub-database for beauty salons, etc. (step S66).

The benefit calculation module 30 evaluates the consumption micro-data provided by the user to give a benefit value (such as bonus points or cash equivalent points), and stores the benefit value in the data collection and profit sharing system 20 for the supplier's benefit sharing In a personal rights account of module 28, wherein the personal rights account corresponds to the account of the user who provides the consumption micro-data (step S68).

When the user completes providing his own micro-data to the data collection and profit sharing system 20, the user can check how much equity value is generated by the micro-data provided by himself, or check the equity value accumulated by providing the micro-data multiple times. The machine 10 sends an equity value query request to the data collection and profit sharing system 20, and the supplier equity profit sharing module 28 of the data collection and profit sharing system 20 sends a personal equity account screen data to the data collection and profit sharing system 20 according to the equity value query request. The user terminal 10 of the user.

After the user terminal 10 receives the personal rights account screen information, the display device 12 displays the personal rights account notification screen, as shown in FIG. 14 for the personal rights account screen of the present invention. screen to view the equity value generated each time the microdata is provided.

When the user wants to buy a big data commodity, the user clicks the option of "buy data" on the transaction data screen shown in FIG. 9 displayed on the display device 12 through the input device 14 of the user terminal 10, and the user terminal 10 sends A purchase data request is sent to the data collection and profit sharing system 20 .

After the management device 22 of the data collection and profit sharing system 20 receives the purchase data request sent from the user terminal 10, the management module 22 sends the big data commodity demand screen data to the user who purchased the data according to the purchase data request. Terminal 10. After the user terminal 10 receives the big data commodity demand picture data, the display device 12 displays the big data commodity demand picture, as shown in FIG. 15 , which is the big data commodity demand picture of the present invention (step S70 ).

The user inputs a commodity feedback condition data on the big data commodity demand screen displayed by the display device 12 through the input device 14 of the user terminal 10, such as inputting consumption area, consumption number, consumption type, consumption amount, consumption age or consumption gender and other commodity feedback condition data, when the user clicks the option of "Request a Quote" on the big data commodity demand screen displayed by the display device 12 through the input device 14, the user terminal 10 will input a quotation request and commodity feedback The condition data is sent to the data collection and profit sharing system 20 .

The quotation request and commodity feedback condition data sent from the user terminal 10 are received by the big data evaluation module 24, and the big data evaluation module 24 searches the central data database 38 for each data sub-database 40, 42, 44 that meets the commodity feedback conditions For each consumption micro-data of the data, temporarily store each corresponding consumption micro-data in an offer file, and calculate the number of consumption micro-data that constitutes the big data commodity, according to the number of consumption micro-data. The value of the big data commodity is evaluated to obtain a big data value amount (step S72).

When the big data evaluation module 24 searches the central data database 38 for too few or no consumption micro-data that meet the product feedback condition data, the big data evaluation module 24 sends a search result that does not meet the demand data screen data to The user terminal 10 of the user who purchased the data.

After the user terminal 10 receives the screen data that the search result does not meet the requirement data, the display device 12 displays the screen that the search result does not meet the requirement data.

When the user decides to search for the same product feedback condition data again, the user clicks the "Try again" option on the screen displayed by the display device 12 that the search result does not meet the required data through the input device 14 of the user terminal 10 . The user terminal 10 sends a retry request to the data collection and profit sharing system 20 . After the data collection and profit sharing system 20 receives the retry request sent from the user terminal 10, the data collection and profit sharing system 20 executes step S72 again.

However, when there are too few or no consumption micro-data that meet the product feedback condition data, the data collection and profit sharing system 20 provides a specially requested function to the user who purchases the data. The function is described below.

When the user decides the function to be specially requested, the user clicks the option of "I want to specifically request" on the screen of the search result displayed on the display device 12 that does not meet the requirement data through the input device 14 of the user terminal 10, and the user terminal The machine 10 sends a special solicitation request to the big data evaluation module 24 .

After the big data evaluation module 24 receives the special solicitation request sent from the user terminal 10, the big data evaluation module 24 sends a special solicitation big data commodity screen data to the user terminal 10 of the user who purchased the data.

After the user terminal 10 receives the special request big data product screen data, the display device 12 displays the special request big data product screen, as shown in FIG. 17 is the special request big data product screen of the present invention.

The user fills in the consumption area, Data on special solicitation conditions for data such as the number of consumers, type of consumption, amount of consumption, consumption age or consumption gender. Next, through the input device 14, the user clicks the option of "purchase special request" in the special request big data product screen displayed on the display device 12, and the user terminal 10 sends a purchase special request request and special request condition data to Big Data Valuation Module 24.

After receiving the purchase special solicitation request and the special solicitation condition data, the big data evaluation module 24 sends the special solicitation condition data to the user terminals 10 of all members, and the members who meet the special solicitation condition data fill in the consumption through the input device 14 Microdata, and send the consumption microdata to the big data valuation module.

After the big data evaluation module receives the consumption micro-data sent from the user terminal of the member with the data that meets the special solicitation conditions, it temporarily stores each consumption micro-data in the offer file, and calculates the consumption of the commodities that make up the big data. The number of micro data, according to the consumption of micro data to evaluate the value of the big data commodity to obtain the value of big data.

Next, the big data evaluation module 24 sends an order quotation notification screen data to the user terminal 10 . After the user terminal 10 receives the order quotation notification screen data, the display device 12 displays the order quotation notification screen, as shown in FIG. 18 , which is the order quotation notification screen of the present invention.

The user clicks the option "I want to see the order quotation" on the order quotation notification screen displayed on the display device 12 through the input device 14 of the user terminal 10, and the user terminal 10 sends a request for an order quotation to the data collection. and profit sharing system 20 .

The big data evaluation module 24 of the data collection and profit sharing system 20 sends an order content screen data to the user terminal 10 according to the request for viewing the order quotation. The order content screen data includes the number and value of the big data commodities. After the user terminal 10 receives the order content screen data, the display device 12 displays the order content screen containing the data of the number of items and the value amount of the big data commodity for the user to watch, as shown in the order content screen of the present invention as shown in FIG. 19 . .

When the user wants to purchase a big data commodity, the user clicks the option of "Confirm Purchase" on the order content screen displayed on the display device 12 through the input device 14 of the user terminal 10, and the user terminal 10 sends a confirmation of purchase Request to data collection and profit sharing system 20 .

After receiving the purchase confirmation request sent from the user terminal 10 by the financial management module 26 of the data collection and profit sharing system 20 , the financial management module 26 sends a payment screen data to the user terminal 10 according to the purchase confirmation request. After the user terminal 10 receives the payment screen data, the display device 12 displays the payment screen, as shown in FIG. 20 for the payment screen of the present invention.

The user clicks the option of "payment method" on the payment screen displayed on the display device 12 through the input device 14 of the user terminal 10 to select methods such as online credit card payment or financial institution transfer. The input device 14 of the display device 10 clicks the option of "pickup method" on the payment screen displayed on the display device 12 to select the method of product key delivery, e-mail or mobile phone message, etc. After that, the user uses the user terminal 10 The user terminal 10 sends a transaction completion request, a payment method and a pick-up method to the data collection and profit sharing system 20 by clicking the “transaction completion” on the payment screen displayed on the display device 12 by the input device 14 of the user terminal 10 .

After the financial management module 26 of the data collection and profit sharing system 20 receives the transaction completion request, payment method and delivery method sent from the user terminal 10, when the financial management module 26 confirms that the cash flow payment is completed, the financial management module 26 sends a The payment completion message is sent to the big data evaluation module 24 (step S74).

The big data evaluation module 24 transmits the big data commodity to the big data tabulation module 34 according to the payment completion message. The big data tabulation module 34 makes various data (such as input consumption area, consumption number, consumption type, consumption amount, consumption age or consumption gender, etc.) Commodity analysis spreadsheet and a commodity analysis chart, and send the commodity analysis spreadsheet and commodity analysis chart to the user terminal 10, so as to display the commodity analysis spreadsheet and commodity analysis chart on the display device 12 for the user to analyze and study (step S76), FIG. 21 is a schematic diagram of the commodity analysis spreadsheet of the present invention and FIG. 22 is a schematic diagram of the commodity analysis chart of the present invention. The data in FIG. 21 and FIG. 22 are for illustrative purposes and do not limit the present invention.

When the financial management module 26 confirms that the cash flow payment is completed, the financial management module 26 also transmits the big data value amount to the big data evaluation module 24 . The big data evaluation module 24 calculates a profit share value obtained by each consumption micro-data that constitutes a big data commodity according to the evaluated amount of the big data value, and stores the profit share value in the supplier's rights share module. 28 in the corresponding personal rights account of the user provided with each consumption micro-data (step S78). The user can check the profit-sharing benefit value generated by selling the micro-data on the personal benefit account screen shown in FIG. 14 displayed on the display device 12 .

The big data collection and distribution method of the present invention can be written in a program type, and the program can be stored in a recording medium. When the data collection and distribution system loads the program on the recording medium and executes it, The method steps can be accomplished as shown in the above description and figures.

The above-mentioned big data collection and profit sharing method of the present invention can be completed by a computer program product that stores a program. When the data collection and profit sharing system downloads the program from the network and executes it, for example, the above description and The method steps shown in the diagram.

The present invention provides a method and system for collecting and profiting from big data, a recording medium and a computer program product. Gain seller status, participate in and profit from big data commodity market activities.

While the present invention has been described above with reference to preferred embodiments and illustrative drawings, it should not be construed as limiting the present invention. Those skilled in the art can make various modifications, omissions and changes to the form and the content of the specific examples, all without departing from the claimed scope of the patented scope of the present invention.

Claims (19)

1. a method for collecting big data and profit sharing, is characterized in that, it is applied to a data collection and profit sharing system, and the method comprises the following steps: A management module of the data collection and profit sharing system receives a data transaction request sent from a user terminal, and sends a data transaction screen data to the user terminal according to the data transaction request; The management module receives a sales data request sent from the user terminal, and sends a micro-data to provide screen data to the user terminal according to the sales data request; A benefit calculation module of the data collection and profit sharing system receives a consumption micro-data sent from the user terminal, verifies whether the consumption micro-data conforms to the specified data format, and stores the consumption micro-data in the data collection and a personal micro-data account of a micro-data collection management module of the profit-sharing system; The verified consumption micro-data is classified according to a predetermined classification code by the benefit calculation module, and the classified consumption micro-data is stored in a plurality of data sub-databases of a central data database of the data collection and profit sharing system A data sub-database for the corresponding classified consumption microdata in the ; and The consumer micro-data is evaluated by the equity calculation module to give an equity value, and the equity value is stored in a personal equity account of a supplier equity sharing module of the data collection and profit sharing system. 2. The method according to claim 1, wherein, before the step of receiving the data transaction request sent from the user terminal by the management module, it comprises the following steps: A new member joining request sent from the user terminal is received by the management module, and a membership clause screen data is sent to the user terminal according to the new member joining request; an authorization message sent from the user terminal is received by the management module, and a member registration screen data is sent to the user terminal according to the authorization message; and A member data sent from the user terminal is received by the management module, the member data is verified and a member number corresponding to the member data is entered, and the member number and the corresponding member data are stored in the data collection and A member database of the profit sharing system. 3. The method according to claim 2, wherein the member data includes name, date of birth, ID number, gender, address, mobile phone number and email account. 4. The method according to claim 1, wherein, after the step of evaluating the consumption micro-data by the benefit calculation module to give the benefit value, the following steps are included: A purchase data request sent from the user terminal is received by the management module, and a large data commodity demand screen data is sent to the user terminal according to the purchase data request; The big data evaluation module of the data collection and profit sharing system receives a commodity feedback condition data sent from the user terminal, searches for the consumption micro-data in the central data database that meets the commodity feedback condition data, and calculates According to the number of consumption micro-data that constitutes a big data commodity, the value of the big data commodity is evaluated according to the number of consumption micro-data to obtain the value of the big data, and the number of the big data commodity and the value of the big data commodity are evaluated. The value amount is sent to the user terminal; A payment completion message is sent by a financial management module of the data collection and profit sharing system to the big data valuation module, and the big data valuation module sends the big data commodity to the data collection and profit sharing system according to the payment completion message. A large data tabulation module; The big data tabulation module makes various data of the big data commodity into a commodity analysis spreadsheet and a commodity analysis chart, and sends the commodity analysis spreadsheet and the commodity analysis chart to the user terminal; and The big data valuation module calculates a profit share value obtained by the consumption micro-data composing the big data commodity according to the evaluated big data value amount, and transmits it to the corresponding consumption micro data of the supplier's rights and interests sharing module. The personal interest account for the data. 5 . The method according to claim 4 , wherein the commodity feedback condition data is data of consumption area, consumption number, consumption type, consumption amount, consumption age and consumption gender. 6 . 6 . The method according to claim 4 , wherein when searching for the consumption micro-data that meets the product feedback condition data in the central data database is too few or not, the big data is used to estimate the value. 7 . The module sends a special solicitation condition data to the user terminal, and the big data evaluation module receives the consumption micro-data that meets the special solicitation condition data sent from the user terminal, wherein the special solicitation condition data is the consumption area, One or more of the data of the number of consumers, the type of consumption, the amount of consumption, the age of consumption and the gender of consumption. 7. The method according to claim 1, wherein the consumption micro-data sent from the user terminal is sent in a data format or a photo, and the consumption micro-data includes consumption time, consumption location, consumption type status, consumption content, consumption amount, and consumption amount, or all of them. 8 . The method of claim 1 , wherein the predetermined classification code is an International Harmonized Commodity Classification Code or a Chinese Commodity Standard Classification Number Column. 9 . 9. A method for big data collection and profit sharing, characterized in that, it is applied to a data collection and profit sharing system, and the method comprises the following steps: A management module of the data collection and profit sharing system receives a purchase data request sent from a user terminal, and sends a big data commodity demand screen data to the user terminal according to the purchase data request; A big data evaluation module of the data collection and profit sharing system receives a commodity feedback condition data sent from the user terminal, and searches for data that meets the commodity feedback condition in a central data database of the data collection and profit sharing system a consumption microdata, and calculate the number of corresponding consumption microdata that constitutes a big data commodity, evaluate the value of the big data commodity according to the number of consumption microdata to obtain the value of the big data, and assign Send the number and value of the big data commodity to the user terminal; A payment completion message is sent by a financial management module of the data collection and profit sharing system to the big data valuation module, and the big data valuation module sends the big data commodity to the data collection and profit sharing system according to the payment completion message. A large data tabulation module; The big data tabulation module makes various data of the big data commodity into a commodity analysis spreadsheet and a commodity analysis chart, and sends the commodity analysis spreadsheet and the commodity analysis chart to the user terminal; and The big data evaluation module calculates a profit share value obtained from the consumption micro-data that constitutes the big data commodity according to the evaluated big data value amount, and transmits it to a supplier's rights and interests of the data collection and profit share system A personal equity account corresponding to the consumption micro-data of the profit-sharing module. 10 . The method according to claim 9 , wherein the commodity feedback condition data is data of consumption area, consumption number, consumption type, consumption amount, consumption age and consumption gender. 11 . 11 . The method according to claim 9 , wherein when searching for the consumption micro-data in the central data database that meets the product feedback condition data is too few or not, the big data is used to estimate the value. 12 . The module sends a special solicitation condition data to the user terminal, and the big data evaluation module receives the consumption micro-data that meets the special solicitation condition data sent from the user terminal, wherein the special solicitation condition data is the consumption area, One or more of the data of the number of consumers, the type of consumption, the amount of consumption, the age of consumption and the gender of consumption. 12. The method according to claim 9, wherein before the step of receiving, by the management module, the purchase data request sent from the user terminal, the following steps are included: A new member joining request sent from the user terminal is received by the management module, and a membership clause screen data is sent to the user terminal according to the new member joining request; an authorization message sent from the user terminal is received by the management module, and a member registration screen data is sent to the user terminal according to the authorization message; and A member data sent from the user terminal is received by the management module, the member data is verified and a member number corresponding to the member data is entered, and the member number and the corresponding member data are stored in the data collection and A member database of the profit sharing system. 13. The method according to claim 12, wherein the member data includes name, date of birth, ID number, gender, address, mobile phone number and email account. 14. The method according to claim 9, wherein, before the step of receiving the purchase data request sent from the user terminal by the management module, it comprises the following steps: A data transaction request sent from the user terminal is received by the management module, and a data transaction screen data is sent to the user terminal according to the data transaction request; The management module receives a sales data request sent from the user terminal, and sends a micro-data to provide screen data to the user terminal according to the sales data request; A benefit calculation module of the data collection and profit sharing system receives the consumption micro-data sent from the user terminal, verifies whether the consumption micro-data conforms to the specified data format, and stores the consumption micro-data in the data collection and a personal micro-data account of a micro-data collection management module of the profit-sharing system; The verified consumption micro-data is classified according to a predetermined classification code by the benefit calculation module, and the classified consumption micro-data is stored in the corresponding classified consumption micro-data in a plurality of data sub-databases of the central data database a data repository for microdata; and The consumption micro-data is evaluated by the equity calculation module to give an equity value, and the equity value is stored in the individual equity account of the supplier's equity sharing module. 15. The method according to claim 14, wherein the consumption micro-data sent from the user terminal is sent in a data format or a photo, and the consumption micro-data includes consumption time, consumption location, consumption type status, consumption content, consumption amount, and consumption amount, or all of them. 16 . The method of claim 14 , wherein the predetermined classification code is a Harmonized International Commodity Classification Code or a Chinese Commodity Standard Classification Number Column. 17 . 17. A data collection and profit sharing system, characterized in that it comprises a governance module, an equity calculation module, a central data database, a big data valuation module, a supplier equity profit sharing module, a financial management module and A big data tabulation module, the data collection and profit sharing system implements the big data collection and profit sharing method according to any one of claims 1 to 16. 18. A recording medium storing a program, wherein when a data collection and profit sharing system loads the program and executes it, the big data collection and profit sharing according to any one of claims 1 to 16 can be completed. Methods. 19. A computer program product storing a program, characterized in that, when a data collection and profit sharing system loads the program and executes it, it can complete the collection and analysis of big data according to any one of claims 1 to 16. moisturizing method.