CN112308675A - Big data transaction system and method - Google Patents
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Abstract
The invention provides a big data transaction system and a method, comprising the following steps: the right confirming unit is used for acquiring data of the big data resource center and confirming the right of the data; the pricing management unit is used for carrying out data pricing and managing pricing data aiming at the weight-confirming data; the release unit is used for releasing the priced data on line and allowing on-line transaction; the display unit is used for determining the data transaction content displayed by the portal website; the sharing unit is used for acquiring shared data and managing the shared data; the order management unit is used for managing data trading orders; and the data management unit is used for managing the transaction data. The invention realizes big data transaction, breaks the industry information barrier, can optimize and improve the production efficiency and deeply promotes the industrial innovation.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a big data transaction system and a big data transaction method.
Background
With the rapid development of cloud computing and big data, a new industrial wave is raised in the world, and people are rapidly moving from the IT era to the DT era. The big data industry has the most imaginable space that various data of different industries can be integrated to provide omnibearing three-dimensional data drawing, and the user model is strived to be known and remodeled from the perspective of a system, so that the openness and the liquidity of the data become the key of data mining. In other words, the big data means not only massive data generated in the era of information explosion, but also the ability to discover business opportunities and values from inexhaustible data. However, if only big data technology is available, no data source is available, and even skillful wife cannot cook rice without rice.
The current big data storage and mining technology is gradually mature, but the existence of a large number of data islands restricts the circulation and the change of data. In order to realize the change of commercial value in the big data era, the diversified demands of the data market need to be docked in real time, and the platform operation becomes a necessary condition for meeting the industrial demands.
Therefore, how to realize big data transaction, break through the industry information barrier, optimize and improve production efficiency, and deeply promote industrial innovation is a problem to be solved urgently.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a big data transaction system and method, which can break the industry information barrier and realize the transaction and sharing of big data.
In order to achieve the purpose, the invention is realized by the following technical scheme: a big data transaction system, comprising:
the right confirming unit is used for acquiring data of the big data resource center and confirming the right of the data;
the pricing management unit is used for carrying out data pricing and managing pricing data aiming at the weight-confirming data;
the release unit is used for releasing the priced data on line and allowing on-line transaction;
the display unit is used for determining the data transaction content displayed by the portal website;
the sharing unit is used for acquiring shared data and managing the shared data;
the order management unit is used for managing data trading orders;
and the data management unit is used for managing the transaction data.
Further, the weight determining unit includes:
the acquisition module is used for acquiring data of the big data resource center and sending the data to the auditing module;
the auditing module is used for auditing the integrity of the data through a preset data possession proving mechanism and a preset sampling mechanism and sending an auditing result and the data to the confirming module;
a confirmation module for confirming the origin of the data by identifying a digital watermark of the data;
and the association module determines the use right and the attribution right of the data according to the origin of the data and associates the use right and the attribution right with the data.
Further, the pricing management unit includes:
the pricing model storage module is used for storing a preset data pricing model;
the model selection module is used for selecting a data pricing model in the pricing model storage unit according to the preset requirement of the weight determining data, inputting the weight determining data into the selected data pricing model and generating pricing data;
and the recording module is used for inputting the pricing data and the corresponding weight data into the corresponding table and storing the pricing data and the corresponding weight data.
Further, the preset data pricing model comprises: agreement pricing models based on game theory, third party pricing models based on data features, tuple-based pricing models, and query-based pricing models.
Further, the issue unit includes:
the service module is used for providing a visual issuing interface, configuring the interface according to needs, and performing issuing safety certification and service current-limiting fault tolerance;
the monitoring module is used for issuing log collection and display and performing abnormity alarm;
the uploading module is used for sending the priced data to the corresponding data interface after classifying the data;
and the transaction module is used for providing a data transaction interface and authenticating a data transaction party.
Further, the display unit includes:
the preprocessing module is used for auditing, screening and sequencing data to be displayed;
the sorting module is used for sorting the numerical data and the sequence data by using a preset algorithm;
and the table building module is used for building a table and a diagram according to the data to be displayed and sending the table and the diagram to the portal website.
Further, the sharing unit includes:
the scanning module is used for scanning the data of the shared node according to the requirement and locking the target data;
the acquisition module is used for sending a data acquisition request to the sharing node where the target data is located, and reading the target data to the local node after the request passes;
and the management module is used for starting a sharing mechanism of the target data to share and configure the target data at the local node.
Further, the order management unit includes:
the order placing management module is used for receiving an order query request and an order placing request sent by a preset client;
the commodity information management module is used for adding and maintaining the classification information of the commodities and deleting the commodity information according to the preset timeliness of the commodities;
the order processing module is used for generating a detailed delivery list for the completed transaction order and sending the detailed delivery list to the corresponding client; and the report generation module is used for producing a sales report for the processed transaction order, generating transaction data and storing the transaction data in the local node.
Further, the data management unit includes:
the extraction module is used for extracting transaction keywords in the transaction data by adopting a preset extraction mechanism;
the mapping module is used for establishing a mapping relation between both transaction parties and the transaction keywords;
and the recording module is used for generating a transaction list based on the transaction keywords and storing the transaction list into a distributed database of the local node.
Correspondingly, the invention also discloses a big data transaction method, which comprises the following steps:
s1: collecting data of a big data resource center and determining the right of the data;
s2: aiming at the weight data, carrying out data pricing and managing pricing data;
s3: the priced data are published on line, and online transaction is allowed;
s4: determining data transaction content displayed by a portal website;
s5: and monitoring the data transaction orders, and starting a preset management mechanism to record and manage the completed data transaction orders.
Compared with the prior art, the invention has the beneficial effects that: the big data transaction system and the big data transaction method provided by the invention have the advantages that the big data transaction is realized, the industry information barrier is broken, the production efficiency can be optimized and improved, and the industrial innovation is deeply promoted.
The invention provides services such as data commodity transaction and delivery, data supply and demand matching, open data and the like aiming at data transaction: collecting data suppliers and data demand parties, and carrying out data resource and commodity circulation by taking a website as a platform to realize a data circulation closed loop from production to commercialization and then to data transaction; and services such as merchant enrollment, data commodity shelf or catalog hosting, data auditing, transaction pricing, user account system, transaction management, data delivery management and the like are provided for data providers.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a system block diagram of the present invention.
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings.
A big data transaction system as shown in fig. 1, comprising:
1. and the right confirming unit is used for acquiring data of the big data resource center and confirming the right of the data.
The right determining unit comprises:
the acquisition module is used for acquiring data of the big data resource center and sending the data to the auditing module;
the auditing module is used for auditing the integrity of the data through a preset data possession proving mechanism and a preset sampling mechanism and sending an auditing result and the data to the confirming module;
a confirmation module for confirming the origin of the data by identifying a digital watermark of the data;
and the association module determines the use right and the attribution right of the data according to the origin of the data and associates the use right and the attribution right with the data.
The right determining unit realizes the data right determination by combing the data of the big data resource center.
2. And the pricing management unit is used for carrying out data pricing and managing pricing data according to the weight confirming data.
The pricing management unit includes:
the pricing model storage module is used for storing a preset data pricing model;
the model selection module is used for selecting a data pricing model in the pricing model storage unit according to the preset requirement of the weight determining data, inputting the weight determining data into the selected data pricing model and generating pricing data;
and the recording module is used for inputting the pricing data and the corresponding weight data into the corresponding table and storing the pricing data and the corresponding weight data.
Wherein, the preset data pricing model comprises: agreement pricing models based on game theory, third party pricing models based on data features, tuple-based pricing models, and query-based pricing models.
The pricing management unit can comb the pricing of the data aiming at the right-confirming and clear-defining data.
3. And the publishing unit is used for publishing the priced data online and allowing online transaction.
The issue unit includes:
the service module is used for providing a visual issuing interface, configuring the interface according to needs, and performing issuing safety certification and service current-limiting fault tolerance;
the monitoring module is used for issuing log collection and display and performing abnormity alarm;
the uploading module is used for sending the priced data to the corresponding data interface after classifying the data;
and the transaction module is used for providing a data transaction interface and authenticating a data transaction party.
The publishing unit can publish online for the priced data, allowing online transactions.
4. And the display unit is used for determining the data transaction content displayed by the portal website.
The display unit includes:
the preprocessing module is used for auditing, screening and sequencing data to be displayed;
the sorting module is used for sorting the numerical data and the sequence data by using a preset algorithm;
and the table building module is used for building a table and a diagram according to the data to be displayed and sending the table and the diagram to the portal website.
The presentation unit is capable of determining that the portal presentation content.
5. And the sharing unit is used for acquiring the shared data and managing the shared data.
The sharing unit includes:
the scanning module is used for scanning the data of the shared node according to the requirement and locking the target data;
the acquisition module is used for sending a data acquisition request to the sharing node where the target data is located, and reading the target data to the local node after the request passes;
and the management module is used for starting a sharing mechanism of the target data to share and configure the target data at the local node.
The sharing unit can comb the shared data and manage the data.
6. And the order management unit is used for managing the data transaction orders.
The order management unit includes:
the order placing management module is used for receiving an order query request and an order placing request sent by a preset client;
the commodity information management module is used for adding and maintaining the classification information of the commodities and deleting the commodity information according to the preset timeliness of the commodities;
the order processing module is used for generating a detailed delivery list for the completed transaction order and sending the detailed delivery list to the corresponding client; and the report generation module is used for producing a sales report for the processed transaction order, generating transaction data and storing the transaction data in the local node.
The order management unit implements management of trade orders.
7. And the data management unit is used for managing the transaction data.
The data management unit includes:
the extraction module is used for extracting transaction keywords in the transaction data by adopting a preset extraction mechanism;
the mapping module is used for establishing a mapping relation between both transaction parties and the transaction keywords;
and the recording module is used for generating a transaction list based on the transaction keywords and storing the transaction list into a distributed database of the local node.
The data management unit realizes the combing of data standards.
Correspondingly, as shown in fig. 2, the invention also discloses a big data transaction method, which comprises the following steps:
s1: and collecting data of the big data resource center and performing data authority determination.
S2: and carrying out data pricing and managing pricing data aiming at the confirmation data.
S3: and releasing the priced data on line and allowing the transaction on line.
S4: and determining the data transaction content displayed by the portal.
S5: and monitoring the data transaction orders, and starting a preset management mechanism to record and manage the completed data transaction orders.
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be embodied in the form of a software product, where the computer software product is stored in a storage medium, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like, and the storage medium can store program codes, and includes instructions for enabling a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, and the like) to perform all or part of the steps of the method in the embodiments of the present invention. The same and similar parts in the various embodiments in this specification may be referred to each other. Especially, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant points can be referred to the description in the method embodiment.
In the embodiments provided by the present invention, it should be understood that the disclosed system, system and method can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit.
Similarly, each processing unit in the embodiments of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units are integrated into one functional module.
The invention is further described with reference to the accompanying drawings and specific embodiments. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope of the present application.
Claims (10)
1. A big data transaction system, comprising:
the right confirming unit is used for acquiring data of the big data resource center and confirming the right of the data;
the pricing management unit is used for carrying out data pricing and managing pricing data aiming at the weight-confirming data;
the release unit is used for releasing the priced data on line and allowing on-line transaction;
the display unit is used for determining the data transaction content displayed by the portal website;
the sharing unit is used for acquiring shared data and managing the shared data;
the order management unit is used for managing data trading orders;
and the data management unit is used for managing the transaction data.
2. The big data transaction system according to claim 1, wherein the right determining unit comprises:
the acquisition module is used for acquiring data of the big data resource center and sending the data to the auditing module;
the auditing module is used for auditing the integrity of the data through a preset data possession proving mechanism and a preset sampling mechanism and sending an auditing result and the data to the confirming module;
a confirmation module for confirming the origin of the data by identifying a digital watermark of the data;
and the association module determines the use right and the attribution right of the data according to the origin of the data and associates the use right and the attribution right with the data.
3. The big data trading system of claim 1, wherein the pricing management unit comprises:
the pricing model storage module is used for storing a preset data pricing model;
the model selection module is used for selecting a data pricing model in the pricing model storage unit according to the preset requirement of the weight determining data, inputting the weight determining data into the selected data pricing model and generating pricing data;
and the recording module is used for inputting the pricing data and the corresponding weight data into the corresponding table and storing the pricing data and the corresponding weight data.
4. The big data trading system of claim 3, wherein the preset data pricing model comprises: agreement pricing models based on game theory, third party pricing models based on data features, tuple-based pricing models, and query-based pricing models.
5. The big data trading system of claim 1, wherein the publishing unit comprises: the service module is used for providing a visual issuing interface, configuring the interface according to needs, and performing issuing safety certification and service current-limiting fault tolerance;
the monitoring module is used for issuing log collection and display and performing abnormity alarm;
the uploading module is used for sending the priced data to the corresponding data interface after classifying the data;
and the transaction module is used for providing a data transaction interface and authenticating a data transaction party.
6. The big data transaction system according to claim 1, wherein the presentation unit comprises: the preprocessing module is used for auditing, screening and sequencing data to be displayed;
the sorting module is used for sorting the numerical data and the sequence data by using a preset algorithm;
and the table building module is used for building a table and a diagram according to the data to be displayed and sending the table and the diagram to the portal website.
7. The big data transaction system according to claim 1, wherein the sharing unit comprises: the scanning module is used for scanning the data of the shared node according to the requirement and locking the target data;
the acquisition module is used for sending a data acquisition request to the sharing node where the target data is located, and reading the target data to the local node after the request passes;
and the management module is used for starting a sharing mechanism of the target data to share and configure the target data at the local node.
8. The big data trading system of claim 1, wherein the order management unit comprises:
the order placing management module is used for receiving an order query request and an order placing request sent by a preset client;
the commodity information management module is used for adding and maintaining the classification information of the commodities and deleting the commodity information according to the preset timeliness of the commodities;
the order processing module is used for generating a detailed delivery list for the completed transaction order and sending the detailed delivery list to the corresponding client; and the report generation module is used for producing a sales report for the processed transaction order, generating transaction data and storing the transaction data in the local node.
9. The big data transaction system according to claim 8, wherein the data management unit comprises:
the extraction module is used for extracting transaction keywords in the transaction data by adopting a preset extraction mechanism;
the mapping module is used for establishing a mapping relation between both transaction parties and the transaction keywords;
and the recording module is used for generating a transaction list based on the transaction keywords and storing the transaction list into a distributed database of the local node.
10. A big data transaction method is characterized by comprising the following steps:
s1: collecting data of a big data resource center and determining the right of the data;
s2: aiming at the weight data, carrying out data pricing and managing pricing data;
s3: the priced data are published on line, and online transaction is allowed;
s4: determining data transaction content displayed by a portal website;
s5: and monitoring the data transaction orders, and starting a preset management mechanism to record and manage the completed data transaction orders.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573904A (en) * | 2014-09-29 | 2015-04-29 | 同济大学 | Data visualizing system for monitoring user and software behaviors during network transaction |
| CN107358491A (en) * | 2017-06-20 | 2017-11-17 | 深圳前海高晟通电商有限公司 | Cross-border electric business platform |
| CN107545335A (en) * | 2016-06-24 | 2018-01-05 | 湖南移商动力网络技术有限公司 | A cross-border electric business system software of B2C patterns |
| CN108596628A (en) * | 2018-04-20 | 2018-09-28 | 黄绍进 | A kind of personal information capitalization implementation method and device |
| CN110796351A (en) * | 2019-10-17 | 2020-02-14 | 中国葛洲坝集团装备工业有限公司 | Resource sharing system based on industrial internet and transaction management method |
| CN111125756A (en) * | 2019-12-13 | 2020-05-08 | 江苏通付盾数字化技术有限公司 | Data right-confirming system and method for zero trust and protecting data privacy |
| CN111612594A (en) * | 2020-06-03 | 2020-09-01 | 天天向上(北京)网络科技有限公司 | Localized merchant retail system |
-
2020
- 2020-11-04 CN CN202011216189.XA patent/CN112308675A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573904A (en) * | 2014-09-29 | 2015-04-29 | 同济大学 | Data visualizing system for monitoring user and software behaviors during network transaction |
| CN107545335A (en) * | 2016-06-24 | 2018-01-05 | 湖南移商动力网络技术有限公司 | A cross-border electric business system software of B2C patterns |
| CN107358491A (en) * | 2017-06-20 | 2017-11-17 | 深圳前海高晟通电商有限公司 | Cross-border electric business platform |
| CN108596628A (en) * | 2018-04-20 | 2018-09-28 | 黄绍进 | A kind of personal information capitalization implementation method and device |
| CN110796351A (en) * | 2019-10-17 | 2020-02-14 | 中国葛洲坝集团装备工业有限公司 | Resource sharing system based on industrial internet and transaction management method |
| CN111125756A (en) * | 2019-12-13 | 2020-05-08 | 江苏通付盾数字化技术有限公司 | Data right-confirming system and method for zero trust and protecting data privacy |
| CN111612594A (en) * | 2020-06-03 | 2020-09-01 | 天天向上(北京)网络科技有限公司 | Localized merchant retail system |
Non-Patent Citations (2)
| Title |
|---|
| 彭慧波 等: "数据定价机制现状及发展趋势", 《北京邮电大学学报》, vol. 42, no. 1, pages 120 - 125 * |
| 王海龙 等: "基于区块链的大数据确权方案", 《计算机科学》, vol. 45, no. 2, pages 15 - 19 * |
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