CN117093637A

CN117093637A - Big data cloud platform for electronic commerce transaction

Info

Publication number: CN117093637A
Application number: CN202311146663.XA
Authority: CN
Inventors: 龚靓
Original assignee: Weihai Ocean Vocational College
Current assignee: Weihai Ocean Vocational College
Priority date: 2023-09-06
Filing date: 2023-09-06
Publication date: 2023-11-21

Abstract

The invention discloses an electronic commerce transaction big data cloud platform. The invention comprises a data acquisition module, a data storage module, a data analysis module, a data display module and a data application module. The invention utilizes cloud computing technology, blockchain technology, privacy computing technology, artificial intelligence technology, intelligent contract technology and visualization technology to realize the collection, storage, analysis, display and application of electronic commerce transaction data, improves the safety, high efficiency, intelligence, visibility and value of the electronic commerce transaction data, and solves the problems and the defects of the traditional electronic commerce transaction data processing mode. The invention is suitable for data providers and data demander with demands such as electronic commerce enterprises, advertisers, logistics companies, marketing companies and the like.

Description

Big data cloud platform for electronic commerce transaction

Technical Field

The invention relates to the technical field of electronic commerce transaction big data cloud platforms, in particular to an electronic commerce transaction big data cloud platform.

Background

Electronic commerce transactions refer to the buying and selling activities of goods or services through the internet, involving a large amount of transaction data, such as merchandise information, user information, order information, payment information, logistic information, etc. The data has the characteristics of mass, diversity, real-time, value and the like, and is an important strategic resource and competitive advantage for electronic commerce enterprises. Through the effective utilization of the data, the electronic commerce enterprise can be helped to improve the operation efficiency, optimize the products and services, enhance the client relationship, innovate the business mode and the like.

However, the conventional electronic commerce transaction data processing method has a plurality of problems and disadvantages such as data dispersion and difficult integration; the data volume is huge and difficult to store; the data types are complex and difficult to analyze; low data value, difficult mining, etc. These problems limit the value conversion and application of e-commerce transaction data, affecting the development and competitiveness of e-commerce enterprises.

Therefore, a big data cloud platform for electronic commerce transaction capable of effectively solving the above problems is urgently needed to realize comprehensive management and intelligent application of electronic commerce transaction data.

Disclosure of Invention

The invention aims to provide the big data cloud platform for the electronic commerce transaction, which utilizes technologies such as cloud computing, data mining, machine learning and the like to realize collection, storage, analysis, display and application of electronic commerce transaction data, has the advantages of safety, high efficiency, intelligence, visibility, value and the like, and solves the problems of data dispersion and difficult integration existing in the traditional electronic commerce transaction data processing mode; the data volume is huge and difficult to store; the data types are complex and difficult to analyze; low data value, difficult mining and the like.

In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides an electronic commerce trade big data cloud platform, includes cloud computing server cluster, blockchain network, privacy computing network, artificial intelligence network, intelligent contract network, visual network and user terminal equipment, its characterized in that:

The cloud computing server cluster comprises a plurality of cloud server nodes, wherein each cloud server node is based on storage space and computing capacity and is connected together through a network;

the blockchain network comprises a plurality of blockchain nodes, wherein each blockchain node is based on verification capability and accounting capability and maintains a distributed account book through a consensus mechanism;

the privacy computing network comprises a plurality of privacy computing nodes, wherein each privacy computing node is based on encryption capability and decryption capability, and the data are analyzed and processed in an encryption state through a secure multi-party computing protocol;

the artificial intelligent network comprises a plurality of artificial intelligent nodes, and each artificial intelligent node is based on learning ability and reasoning ability, and realizes automatic cleaning, classification, labeling, extraction, semantic analysis and imaging representation operation of data through a machine learning technology and a natural language processing technology;

the intelligent contract network comprises a plurality of intelligent contract nodes, wherein each intelligent contract node is based on programming capability and execution capability, and writes and executes automatically executable transaction protocols and rules on a blockchain through intelligent contract technology;

the visualization network comprises a plurality of visualization nodes, wherein each visualization node is based on rendering capability and display capability, and dynamically displays and monitors each step and result in the transaction process through a data visualization technology;

The user terminal device comprises a display screen, an input device and an output device, interacts with a user, and is connected to a cloud computing server cluster, a blockchain network, a privacy computing network, an artificial intelligent network, an intelligent contract network and a visualization network through a network.

Preferably, the cloud computing server cluster further comprises the following submodules:

the data segmentation sub-module is used for carrying out segmentation on the data according to a certain rule and strategy, and distributing each segmentation to different cloud server nodes for storage;

the data indexing sub-module is based on establishing an indexing relationship between the data fragments and the cloud server nodes, and is convenient for quick positioning and searching of data;

the data processing sub-module is used for carrying out distributed processing and calculation on the data based on a MapReduce parallel calculation frame, so that the availability and expandability of the data are improved;

the data right determining submodule performs the functions of identity authentication, tracing and tamper resistance of data based on a blockchain technology, a digital signature technology and a digital watermark technology;

the data circulation and metering meter Fei Zi module is used for carrying out market transaction, compliance circulation and reasonable pricing functions of data based on a data transaction platform technology, a data trust mode technology and a data banking mode technology and promoting value conversion of the data;

The data security and privacy protection sub-module is used for carrying out the secure transmission, storage and use of data based on an encryption algorithm technology, a privacy calculation technology and a data desensitization technology;

the data quality management and value evaluation sub-module is used for introducing a third party organization or expert to audit and evaluate the data transaction platform, and a perfect data quality management system and a perfect data value evaluation system are established;

a data transaction recommendation sub-module graphically representing and storing data providers, data requesters, data products, data service entities and relationships between them on a data transaction platform based on establishing a data transaction knowledge graph; according to the user labels, retrieving entities and relations related to the user from the data transaction knowledge graph, and constructing a user interest graph; according to the user interest graph and the graph neural network algorithm, calculating the interest degree of the user on each data product or data service, and generating a recommendation list according to descending order; displaying the recommendation list to a user, and guiding the user to conduct data transaction;

the data transaction exciter sub-module is used for designing contracts of different types according to the degree of information asymmetry between data providers of different types and data requesters based on an excitation mechanism of contract theory; according to the behavior of the two parties in the data transaction process, giving corresponding rewards or punishments according to an incentive mechanism;

The data transaction joint modeling sub-module is used for performing cross-organization and cross-mechanism joint modeling on the premise of guaranteeing the data privacy and safety of each participant based on the establishment of the multiparty safety computing platform; and generating corresponding data products or data services according to the joint modeling result, and publishing and selling on the cloud computing server cluster.

Preferably, the blockchain network further includes the following submodules:

the block chain link point annotates the booklet module, let the block chain link point input own basic information, and verify identity and reputation of the block chain node through the block chain network, produce the account information of the block chain node;

the block chain node login submodule enables the block chain node to input own account information, verifies authority and state of the block chain node through a block chain network and generates login information of the block chain node;

the block chain node setting submodule enables the block chain node to set own preference and demand, and generates interest and portrait information of the block chain node through an artificial intelligent network;

the block chain link point query sub-module enables the block chain link point to input own query conditions, searches matched transaction information through an intelligent contract network, and displays a query result through a visual network;

The block chain link point verification sub-module enables the block chain node to verify the received transaction information, determines whether to add the transaction information into the distributed account book through a consensus mechanism, and displays a verification result through a visual network;

the block chain node accounting sub-module enables the block chain node to account the verified transaction information, completes the transaction process through the intelligent contract network and displays the accounting result through the visual network;

and the block chain link point evaluation sub-module is used for enabling the block chain nodes to evaluate and feed back the participated transaction information, recording the evaluation information through the intelligent contract network and displaying the evaluation result through the visual network.

Preferably, the privacy computing network further comprises the following submodules:

the data encryption sub-module is used for encrypting the data by the homomorphic encryption technology before the data provider uploads the data to the cloud computing server cluster to generate encrypted data;

the data decryption sub-module is used for decrypting the disturbance result by the homomorphic encryption technology after the disturbance result is downloaded to the user terminal equipment by the data demand party, so as to generate a decryption result;

the data analysis sub-module is used for analyzing and processing the encrypted data by a secure multiparty computing technology on the cloud computing server cluster to generate an encryption result;

The data disturbing sub-module is used for disturbing the encryption result by the differential privacy technology before the encryption result is downloaded to the user terminal equipment by the data demand party, so as to generate a disturbance result;

the data identification sub-module is used for carrying out identification and tracking on the decryption result by the digital watermarking technology after decrypting the disturbance result by the data demand party, so as to generate an identification result;

and the data verification sub-module records and verifies each step and result in the privacy computing network by using the blockchain technology to generate a transaction record.

Preferably, the artificial intelligence network further comprises the following submodules:

the data cleaning sub-module is used for automatically cleaning the data by a machine learning technology before the data provider uploads the data to the cloud computing server cluster, removing noise, abnormality and redundant information in the data and generating cleaned data;

the data classification sub-module is used for automatically classifying the cleaned data based on a machine learning technology on a cloud computing server cluster, classifying the data into different categories according to certain standards and rules, and generating classified data;

the data labeling sub-module is used for automatically labeling the classified data on the cloud computing server cluster by a machine learning technology, adding some meaningful labels or metadata to the data and generating labeled data;

The data extraction sub-module is used for automatically extracting the marked data by a machine learning technology on the cloud computing server cluster, extracting some valuable features or information from the data and generating the extracted data;

the semantic analysis sub-module performs semantic analysis and understanding on the extracted data by using a natural language processing technology on the cloud computing server cluster to generate semantic data;

the image identification technology performs image representation and conversion on the semantic data before the semantic data is downloaded to the user terminal equipment by the data demand party, so as to generate the image data;

the correlation analysis sub-module is used for analyzing the use condition and effect of the imaging data by the correlation analysis technology after the imaging data are applied to different scenes by the data demand party, and generating a use analysis result;

the cluster analysis sub-module classifies and generalizes the use analysis result based on the cluster analysis technology to generate value characteristics;

and the regression analysis sub-module is used for quantifying and modeling the value characteristics and the influence factors based on a regression analysis technology and generating a value evaluation model and a pricing strategy.

Preferably, the smart contract network further comprises the following submodules:

The intelligent contract writing sub-module enables the intelligent contract node to write automatically executable transaction protocols and rules on the blockchain according to own transaction requirements and conditions, and verifies the identity and reputation of the intelligent contract node through the blockchain network;

the intelligent contract executing sub-module enables the intelligent contract node to execute corresponding transaction protocols and rules on the blockchain according to own transaction selection and willingness, and verifies each link and state in the transaction process through the blockchain network;

and the intelligent contract evaluation sub-module is used for evaluating corresponding transaction protocols and rules on the blockchain based on the intelligent contract node according to own transaction results and feedback, and recording evaluation information through the blockchain network.

Preferably, the visualization network further comprises the following submodules:

the transaction process display sub-module dynamically displays each link and state in the transaction process based on a data visualization technology, and generates a transaction process visualization result;

the transaction result display sub-module dynamically displays various indexes and evaluations in the transaction result based on a data visualization technology, and generates a transaction result visualization result;

and the transaction feedback display sub-module dynamically displays each opinion and suggestion in the transaction feedback based on a data visualization technology, and generates a transaction feedback visualization result.

Preferably, the user terminal device further comprises the following functions:

a user registration function, which enables a user to input own basic information, and verifies the identity and the credit of the user through a blockchain network to generate account information of the user;

a user login function, which enables a user to input own account information, verifies the authority and state of the user through a blockchain network and generates login information of the user;

a user setting function, which enables a user to set own preference and demand, and generates interest graphs and portrait information of the user through an artificial intelligent network;

a user inquiry function, which enables a user to input own inquiry conditions, searches matched data through an intelligent contract network, and displays inquiry results through a visual network;

the user purchase function enables the user to select data which the user wants to purchase, and the user completes the transaction process through the intelligent contract network and displays the transaction result through the visual network;

and the user evaluation function enables the user to evaluate and feed back the purchased data, records evaluation information through the intelligent contract network and displays the evaluation result through the visual network.

Preferably, the electronic commerce transaction big data cloud platform further comprises the following functions:

The data transaction center or the establishment function of the alliance selects proper main body and organization form according to the public, commercial and social factors of the data, and provides a unified management and coordination mechanism for the data;

a data transaction standard and specification making function, selecting a proper making flow and a proper participant according to the scale, complexity and variability factors of data, and providing uniform quality and value standard for the data;

and the data transaction information and service providing function is used for selecting proper providing channels and forms according to the availability, comprehensiveness and operability factors of the data and providing a unified information and service platform for the data.

Compared with the prior art, the invention has the following beneficial effects:

1. the invention utilizes the block chain technology to realize the data right-confirming function, generates a unique identifier and owner information of the data by carrying out hash operation, digital signature, uplink storage and other operations on the data, and maintains a right-confirming record of the data of the distributed account record;

2. realizing a data circulation function by utilizing an intelligent contract technology, compiling and executing automatically executable transaction protocols and rules on a blockchain, metering and charging according to the contribution degree and the service condition of data, and distributing the cost to each party main body;

3. The method comprises the steps of realizing a data security function by utilizing a privacy computing technology, analyzing and processing data in an encrypted state by carrying out homomorphic encryption, secure multiparty computation, differential privacy and other operations on the data, carrying out disturbance processing on the result before decryption, and identifying and tracking the result by utilizing a digital watermark;

4. the method is characterized in that the data value function is realized by utilizing an artificial intelligence technology, the data is subjected to operations such as automatic cleaning, classification, labeling, extraction, semantic analysis, imaging representation and the like, the data is subjected to value evaluation and pricing strategies by utilizing algorithms such as association analysis, cluster analysis, regression analysis and the like, and corresponding data products or services are generated by utilizing a joint modeling technology.

Drawings

FIG. 1 is a schematic diagram of the overall structure of an e-commerce transaction big data cloud platform provided by the invention;

fig. 2 is a schematic structural diagram of a cloud computing server cluster in an electronic commerce transaction big data cloud platform provided by the invention;

FIG. 3 is a schematic block chain network in the big data cloud platform for e-commerce transactions according to the present invention;

fig. 4 is a schematic structural diagram of a privacy computing network in the electronic commerce transaction big data cloud platform provided by the invention;

FIG. 5 is a schematic diagram of an artificial intelligent network in the big data cloud platform for e-commerce transactions provided by the invention;

FIG. 6 is a schematic diagram of an intelligent contract network in the big data cloud platform for e-commerce transactions provided by the invention;

fig. 7 is a schematic structural diagram of a visual network in the electronic commerce transaction big data cloud platform provided by the invention;

fig. 8 is a schematic structural diagram of a user terminal device in the electronic commerce transaction big data cloud platform provided by the invention;

FIG. 9 is a schematic workflow diagram of the big data cloud platform for e-commerce transactions provided by the present invention;

FIG. 10 is a graph of user behavior data versus an advertisement placement model in an embodiment of the present invention;

FIG. 11 is a graph of the relationship between logistics transportation data and logistics distribution model in an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1 to 11, the present invention provides a technical solution: the invention relates to an electronic commerce transaction big data cloud platform, which utilizes technologies such as cloud computing, blockchain, privacy computing, artificial intelligence, intelligent contracts, data visualization and the like to realize functions such as data validation, circulation, safety, value conversion and the like and provides efficient, convenient, safe and fair data transaction services for data providers and data requesters.

The invention provides an electronic commerce transaction big data cloud platform, which comprises a cloud computing server cluster, a blockchain network, a privacy computing network, an artificial intelligent network, an intelligent contract network, a visual network and user terminal equipment, wherein the cloud computing server cluster is connected with the privacy computing network;

the cloud computing server cluster is a core part of the invention and is responsible for storing, processing and transmitting data of various types and formats and providing data products or services of various types and forms;

the blockchain network is the basic part of the invention and is responsible for verifying, accounting and maintaining various types and formats of data and recording and guaranteeing various types and forms of transaction information;

The privacy computing network is a guarantee part of the invention and is responsible for encrypting, decrypting and perturbing various types and formats of data and protecting and tracking various types and forms of analysis results;

the artificial intelligent network is a value-added part of the invention and is responsible for operations such as cleaning, classifying, labeling, extracting, semantic analysis, imaging representation and the like, evaluating and pricing various types and formats of data, and generating corresponding data products or services;

the intelligent contract network is a circulation part of the invention and is responsible for writing, executing and evaluating transaction protocols and rules of various types and forms and completing and supervising transaction processes and results of various types and forms;

the visual network is a display part of the invention and is responsible for rendering, displaying and feeding back various types and forms of transaction processes and results and providing a dynamic, visual and friendly user interface;

the user terminal equipment is an interface part of the invention and is responsible for operations such as registration, login, setting, inquiry, purchase, evaluation and the like and interaction with a user

The technical purpose of the invention is to solve the following problems in the prior art:

data validation problem: in the prior art, ownership and use rights of data are often unclear, so that the source and attribution of the data are difficult to determine, the quality and value of the data are difficult to evaluate, and the transaction and circulation of the data are difficult to ensure;

Data flow problem: in the prior art, the transaction and circulation of data often lack unified platforms and standards, so that the supply and demand matching of the data is difficult to realize, the transaction process and result of the data are difficult to supervise, and the transaction efficiency and effect of the data are difficult to improve;

data security problem: in the prior art, security risks often exist in data transmission and storage, so that data leakage and loss are difficult to avoid, the privacy and confidentiality of the data are difficult to protect, and the security and credibility of the data are difficult to guarantee;

data value problem: in the prior art, the analysis and the processing of data often have technical barriers, so that the potential value of the data is difficult to mine, the commercialization and the service of the data are difficult to realize, and the value conversion of the data is difficult to promote.

The application scene of the invention is as follows:

the data provider can issue original or processed data with various types and formats owned or produced by the data provider to the electronic commerce transaction big data cloud platform provided by the invention, generates and maintains ownership and use right of the data by the data provider through a blockchain network, matches and transacts the data with other data requesters through an intelligent contract network, protects the data security and privacy of the data provider through a privacy computing network, improves the data quality and value of the data provider through an artificial intelligent network, monitors the data transaction process and result of the data provider through a visual network, and obtains corresponding expense income through a cloud computing server cluster;

The data demander can search or subscribe various types and formats of original or processed data required by the demander on the electronic commerce transaction big data cloud platform, verify the source and attribution of the data through a blockchain network, negotiate and transact with a provider of the data through an intelligent contract network, obtain analysis and processing results of the data through a privacy computing network, obtain semantic and imaging representation of the data through an artificial intelligent network, check own data transaction process and result through a visual network, and pay corresponding expense through a cloud computing server cluster.

The execution process of the invention is as follows:

the data provider registers and logs on the big data cloud platform of the e-commerce transaction provided by the invention on the user terminal equipment, and sets own preference and demand;

the data provider uploads original or processed data with various types and formats owned or produced by the data provider to a cloud computing server cluster, and performs operations such as hash operation, digital signature, uplink storage and the like on the data by utilizing a blockchain technology, generates a unique identifier and owner information of the data, and maintains a distributed account record to record the right record of the data;

The data provider utilizes an intelligent contract technology to write transaction protocols and rules which can be automatically executed on a blockchain, matches and transacts the data with other data requesters, utilizes a privacy computing technology to protect the data safety and privacy of the data provider, utilizes an artificial intelligent technology to improve the data quality and value of the data provider, utilizes a visualization technology to monitor the data transacting process and result of the data provider, and utilizes a cloud computing server cluster to obtain corresponding expense income;

the data demand party registers and logs on the big data cloud platform of the electronic commerce transaction provided by the invention on the user terminal equipment, and sets own preference and demand;

the data demand party searches or subscribes to original or processed data with various types and formats required by the data demand party on the electronic commerce transaction big data cloud platform, verifies the source and attribution of the data by utilizing a blockchain technology, negotiates and transacts with the data provider by utilizing an intelligent contract technology, obtains analysis and processing results of the data by utilizing a privacy computing technology, obtains semantic and imaging representation of the data by utilizing an artificial intelligent technology, checks own data transaction process and result by utilizing a visualization technology, and pays corresponding expense by utilizing a cloud computing server cluster.

Embodiments of the invention are as follows:

example 1: the embodiment is suitable for the financial field, wherein the data provider is a bank and the data demander is an insurance company. The method comprises the following specific steps:

the bank uploads the data such as credit scores, loan records, repayment conditions and the like of clients owned or produced by the bank to a cloud computing server cluster, and performs operations such as hash operation, digital signature, uplink storage and the like on the data by utilizing a blockchain technology, generates a unique identifier and owner information of the data, and maintains a distributed account record to record the right record of the data;

the bank utilizes intelligent contract technology to write transaction protocols and rules which can be automatically executed on a blockchain, such as setting the price, the validity period, the use range and the like of the data, matches and transacts the data with other insurance companies, utilizes privacy calculation technology to protect the safety and privacy of the data, and utilizes homomorphic encryption technology to encrypt the data, so that the insurance companies can only analyze and process the data in an encryption state, and disturbance processing is carried out on the result before decryption, so that the insurance companies can not restore the original data, and uses digital watermarking technology to mark and track the result, so that the bank can monitor the use condition of the data by the insurance companies; the quality and the value of the data are improved by utilizing an artificial intelligence technology, such as cleaning, classifying, labeling, extracting and the like, by using a machine learning technology, so that the data are more complete, accurate, orderly and meaningful; the data transaction process and the result of the user are monitored by utilizing a visualization technology, such as displaying the transaction state, effect, income and other information of the data in a mode of using a chart, an instrument panel, a map and the like; the cloud computing server cluster is utilized to obtain corresponding fee benefits, for example, metering and charging are carried out according to the contribution degree and the service condition of the data, and the fees are distributed to banks;

The insurance company registers and logs on the big data cloud platform of the e-commerce transaction provided by the invention on the user terminal equipment, and sets own preference and demand, if the data such as the credit score of the client of the bank, the loan record, the repayment condition and the like are required to be acquired, so as to carry out risk assessment and insurance pricing;

the insurance company searches or subscribes the data such as customer credit score, loan record, repayment condition and the like of the bank required by the insurance company on the large data cloud platform of the e-commerce transaction provided by the invention, verifies the source and attribution of the data by utilizing a blockchain technology, for example, confirms that the data is provided by the bank by checking information such as hash value, digital signature, uplink time and the like of the data, negotiates and transacts with the bank by utilizing an intelligent contract technology, looks like transaction protocols and rules set by the bank, and pays corresponding fees; the analysis and processing result of the data is obtained by utilizing a privacy computing technology, such as decrypting the data by utilizing a homomorphic encryption technology, obtaining a disturbed result, and identifying and tracking the result by utilizing a digital watermarking technology, so that a bank can monitor the service condition of the data by an insurance company; the semantic and imaging representation of the data is obtained by utilizing an artificial intelligence technology, for example, the semantic analysis and understanding are carried out on the data by utilizing a natural language processing technology to obtain semantic data, and the imaging representation and conversion are carried out on the semantic data by utilizing an image recognition technology to obtain imaging data; and the visualization technology is utilized to check the data transaction process and result of the user, such as displaying the transaction state, effect, income and other information of the data in the modes of using charts, dashboards, maps and the like; and the cloud computing server cluster is utilized to pay corresponding expense, such as metering and charging according to the contribution degree and the service condition of the data, and the expense is distributed to banks.

Example 2: the embodiment is applicable to the medical field, wherein the data provider is a hospital and the data demander is a pharmaceutical factory. The method comprises the following specific steps:

uploading data such as patient medical records, diagnosis results, treatment schemes and the like owned or produced by a hospital to a cloud computing server cluster, performing operations such as hash operation, digital signature, uplink storage and the like on the data by utilizing a blockchain technology, generating a unique identifier and owner information of the data, and maintaining a distributed account record to record the right record of the data;

the hospital writes automatically executable transaction protocols and rules on a blockchain by using an intelligent contract technology, such as setting the price, the validity period, the use range and the like of the data, matching and transacting the data with other pharmaceutical factories, protecting the safety and privacy of the data by using a privacy calculation technology, such as encrypting the data by using a homomorphic encryption technology, so that the pharmaceutical factories can only analyze and process the data in an encryption state, and disturbance processing is carried out on the result before decryption, so that the pharmaceutical factories can not restore the original data, and marking and tracking the result by using a digital watermarking technology, so that the hospital can monitor the use condition of the data by the pharmaceutical factories; the quality and the value of the data are improved by utilizing an artificial intelligence technology, such as cleaning, classifying, labeling, extracting and the like, by using a machine learning technology, so that the data are more complete, accurate, orderly and meaningful; the data transaction process and the result of the user are monitored by utilizing a visualization technology, such as displaying the transaction state, effect, income and other information of the data in a mode of using a chart, an instrument panel, a map and the like; the cloud computing server cluster is utilized to obtain corresponding fee benefits, for example, metering and charging are carried out according to the contribution degree and the service condition of the data, and the fees are distributed to hospitals;

The pharmaceutical factory registers and logs on the big data cloud platform of e-commerce transaction provided by the invention on the user terminal equipment, and sets own preference and requirement, if the data such as patient medical record, diagnosis result, treatment scheme and the like of a hospital need to be acquired, so as to carry out drug research and development and test;

the pharmaceutical factory searches or subscribes data such as patient medical records, diagnosis results, treatment schemes and the like of a hospital required by the pharmaceutical factory on the electronic commerce transaction big data cloud platform, verifies the source and attribution of the data by utilizing a blockchain technology, for example, confirms that the data is provided by the hospital by checking information such as hash values, digital signatures, uplink time and the like of the data, negotiates and transacts with the hospital by utilizing an intelligent contract technology, looks like transaction protocols and rules set by the hospital, and pays corresponding fees; the analysis and processing result of the data is obtained by utilizing a privacy computing technology, such as decrypting the data by utilizing a homomorphic encryption technology, obtaining a disturbed result, and identifying and tracking the result by utilizing a digital watermarking technology, so that a hospital can monitor the service condition of the data by a pharmaceutical factory; the semantic and imaging representation of the data is obtained by utilizing an artificial intelligence technology, for example, the semantic analysis and understanding are carried out on the data by utilizing a natural language processing technology to obtain semantic data, and the imaging representation and conversion are carried out on the semantic data by utilizing an image recognition technology to obtain imaging data; and the visualization technology is utilized to check the data transaction process and result of the user, such as displaying the transaction state, effect, income and other information of the data in the modes of using charts, dashboards, maps and the like; and the cloud computing server cluster is utilized to pay corresponding expense, such as metering and charging according to the contribution degree and the use condition of the data, and the expense is distributed to hospitals.

Example 3: the embodiment is suitable for the education field, wherein the data provider is a school, and the data demander is a training institution. The method comprises the following specific steps:

the school uploads the data of student achievements, examination records, learning conditions and the like owned or produced by the school to a cloud computing server cluster, and performs operations such as hash operation, digital signature, uplink storage and the like on the data by utilizing a blockchain technology, generates a unique identifier and owner information of the data, and maintains a distributed account book record of the right record of the data;

the method comprises the steps that a school utilizes an intelligent contract technology to write automatically executable transaction protocols and rules on a blockchain, such as setting the price, the validity period, the use range and the like of data, matches and transacts the data with other training institutions, utilizes a privacy computing technology to protect own data safety and privacy, and utilizes a homomorphic encryption technology to encrypt the data, so that the training institutions can only analyze and process the data in an encryption state, and disturbance processing is carried out on the results before decryption, so that the training institutions cannot restore original data, and uses a digital watermark technology to mark and track the results, so that the school can monitor the use condition of the data by the training institutions; the quality and the value of the data are improved by utilizing an artificial intelligence technology, such as cleaning, classifying, labeling, extracting and the like, by using a machine learning technology, so that the data are more complete, accurate, orderly and meaningful; the data transaction process and the result of the user are monitored by utilizing a visualization technology, such as displaying the transaction state, effect, income and other information of the data in a mode of using a chart, an instrument panel, a map and the like; the cloud computing server cluster is utilized to obtain corresponding fee benefits, for example, metering and charging are carried out according to the contribution degree and the service condition of the data, and the fees are distributed to schools;

The training mechanism registers and logs on the electronic commerce transaction big data cloud platform provided by the invention on the user terminal equipment, and sets own preference and demand, such as the data of student achievements, examination records, learning conditions and the like of schools are required to be acquired so as to carry out teaching design and assessment;

the training mechanism searches or subscribes to the data such as student score, examination record, learning condition and the like of the school required by the user on the electronic commerce transaction big data cloud platform, verifies the source and attribution of the data by utilizing a blockchain technology, for example, confirms that the data is provided by the school by checking information such as hash value, digital signature, uplink time and the like of the data, negotiates and transacts with the school by utilizing an intelligent contract technology, looks like transaction protocols and rules set by the school, and pays corresponding fees; the analysis and processing result of the data is obtained by utilizing a privacy computing technology, such as decrypting the data by utilizing a homomorphic encryption technology, obtaining a disturbed result, and identifying and tracking the result by utilizing a digital watermarking technology, so that the use condition of the training mechanism on the data can be monitored by the school; the semantic and imaging representation of the data is obtained by utilizing an artificial intelligence technology, for example, the semantic analysis and understanding are carried out on the data by utilizing a natural language processing technology to obtain semantic data, and the imaging representation and conversion are carried out on the semantic data by utilizing an image recognition technology to obtain imaging data; and the visualization technology is utilized to check the data transaction process and result of the user, such as displaying the transaction state, effect, income and other information of the data in the modes of using charts, dashboards, maps and the like; and the cloud computing server cluster is utilized to pay corresponding expense, such as metering and charging according to the contribution degree and the service condition of the data, and the expense is distributed to schools.

In the embodiment, the electronic commerce transaction big data cloud platform provided by the invention can effectively promote data transaction and cooperation between the school and the training mechanism, provide high-quality, high-value and high-safety school data for the training mechanism, and provide additional income sources and social contributions for the school. In this embodiment, compared with the prior art, the present invention has the following advantages:

the invention realizes the data right-confirming function by using the block chain technology, so that schools can clearly identify the ownership and the use right of the data, and the data is prevented from being tampered and forged;

the invention realizes the data circulation function by utilizing the intelligent contract technology, so that schools can flexibly set own transaction conditions and rules and automatically complete the transaction process and result;

the invention realizes the data security function by utilizing the privacy computing technology, so that the school can protect the data security and privacy of the school and monitor the service condition of the training mechanism on the data;

the invention realizes the function of data value by using artificial intelligence technology, so that schools can improve the data quality and value of themselves and generate corresponding data products or services;

the invention realizes the display function by using the visualization technology, so that the school can intuitively check the data transaction process and result of the school and obtain user feedback.

To verify the effectiveness and superiority of the present invention in this example, we devised the following comparative experiments: experiment one: 10 schools with different types and scales are selected as data providers, data transaction is carried out by using the electronic commerce transaction big data cloud platform provided by the invention and the traditional mode provided by the prior art, and the respective transaction efficiency, effect, income and other indexes are recorded. Table 1 shows the results of experiment one:

table 1: results of experiment one

The result of experiment one shows that the electronic commerce transaction big data cloud platform provided by the invention can obviously improve the data transaction efficiency, effect, income and other indexes of schools, and can also ensure the data safety, quality, value and other indexes of schools, and has obvious advantages compared with the traditional mode provided by the prior art.

Experiment II: 10 training institutions with different types and scales are selected as data demand parties, and the large data cloud platform for electronic commerce transaction provided by the invention and the traditional mode provided by the prior art are used for data transaction, and the respective transaction efficiency, effect, expenditure and other indexes are recorded. Table 2 shows the results of experiment two:

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Table 2: results of experiment two

The result of the experiment II shows that the electronic commerce transaction big data cloud platform provided by the invention can obviously improve the indexes such as data transaction efficiency, effect and expenditure of the training mechanism, and can also ensure the indexes such as data safety, quality and value of the training mechanism, and has obvious advantages compared with the traditional mode provided by the prior art.

In summary, the invention provides an electronic commerce transaction big data cloud platform, which utilizes technologies such as cloud computing, blockchain, privacy computing, artificial intelligence, intelligent contracts, data visualization and the like to realize functions such as data validation, circulation, security, value conversion and the like, and provides efficient, convenient, safe and fair data transaction services for data providers and data requesters. Compared with the prior art, the invention has the following advantages:

the efficiency and the effect of data transaction are improved, and the time and the cost of the data transaction are saved;

the security and the credibility of the data transaction are improved, and the privacy and the confidentiality of the data transaction are protected;

the quality and the value of data transaction are improved, and the commercialization and the service of the data transaction are promoted;

the fairness and transparency of data transaction are improved, and the rights and responsibilities of the data transaction are guaranteed.

Example 4:

in this embodiment, the data provider is an e-commerce platform, and has a large amount of user behavior data, including information such as browsing, searching, clicking, purchasing, and evaluating of the user. The data demander is an advertiser who wants to use the user behavior data to optimize his own advertisement delivery strategy. In this embodiment, the implementation method of the electronic commerce transaction big data cloud platform is as follows:

the data provider uploads the user behavior data owned by the data provider to the cloud computing server cluster, the cloud computing server cluster segments the data according to the user ID, and each segment is distributed to different cloud server nodes for storage. And meanwhile, the cloud computing server cluster encrypts each fragment and establishes an index relationship between the data fragments and the cloud server nodes. In addition, the cloud computing server cluster also performs the functions of identity authentication, tracing, tamper resistance and the like on each fragment, and adds the fragment to a distributed account book maintained in a blockchain network.

The data demand party logs in the electronic commerce transaction big data cloud platform through the user terminal equipment, and inputs own query conditions, such as user behavior data of a certain commodity category or brand, for example. And the intelligent contract network searches the data fragments meeting the conditions in the blockchain network according to the query conditions, and finds the corresponding cloud server nodes through the index relation. Then, the intelligent contract network sends a request to the cloud server node, acquires the encrypted data fragments and downloads the encrypted data fragments to the user terminal equipment. In addition, the intelligent contract network retrieves data products or data services associated with the user from the artificial intelligent network according to preferences and requirements set by the user, and generates a recommendation list. For example, the smart contract network may recommend some advertisement placement models or advertisement effectiveness evaluation models based on user behavior data.

The data demand party decrypts the encrypted data fragments on the user terminal equipment and performs disturbance processing on the decryption result so as to protect the privacy of the data provider. Meanwhile, the data demand party can select data products or data services which are interested in the data demand party, and the transaction process is completed through the intelligent contract network. The intelligent contract network verifies and records transaction information in the blockchain network according to transaction protocols and rules, and gives corresponding rewards or penalties according to incentive mechanisms.

The data demander identifies and tracks the decryption result on the user terminal equipment, and the decryption result is represented and converted in an imaging way by utilizing an image recognition technology. Meanwhile, the data demander can dynamically display and monitor each step and result in the transaction process by using a visual network, and dynamically display and feed back each index and evaluation in the transaction result by using a data visual technology.

In the embodiment, the electronic commerce transaction big data cloud platform enables the data provider to safely sell the user behavior data owned by the data provider to the required advertiser, so that additional benefits are obtained; meanwhile, the data demand party can efficiently acquire user behavior data required by the user, and the advertisement delivery strategy of the user is optimized by utilizing data products or data services provided by the artificial intelligence technology, so that the advertisement effect is improved. In the embodiment, the electronic commerce transaction big data cloud platform realizes the functions of safe storage, efficient processing, compliance circulation, intelligent analysis, automatic execution, dynamic display and the like of the electronic commerce transaction big data, and improves the usability, expandability, credibility, visibility and value of the electronic commerce transaction big data.

Example 5:

in this embodiment, the data provider is a logistics company, and has a large amount of logistics transportation data, including information such as the type, number, weight, volume, departure place, destination, transportation mode, transportation time, transportation cost, etc. The data demander is an electronic commerce platform and wants to optimize own logistics distribution strategy by using logistics transportation data. In this embodiment, the implementation method of the electronic commerce transaction big data cloud platform is as follows:

the data provider uploads the logistics transportation data owned by the data provider to the cloud computing server cluster, the cloud computing server cluster segments the data according to the cargo ID, and each segment is distributed to different cloud server nodes for storage. And meanwhile, the cloud computing server cluster encrypts each fragment and establishes an index relationship between the data fragments and the cloud server nodes. In addition, the cloud computing server cluster also performs the functions of identity authentication, tracing, tamper resistance and the like on each fragment, and adds the fragment to a distributed account book maintained in a blockchain network.

The data demand party logs in the electronic commerce transaction big data cloud platform through the user terminal equipment, and inputs own query conditions, such as logistics transportation data of a certain region or time period, for example. And the intelligent contract network searches the data fragments meeting the conditions in the blockchain network according to the query conditions, and finds the corresponding cloud server nodes through the index relation. Then, the intelligent contract network sends a request to the cloud server node, acquires the encrypted data fragments and downloads the encrypted data fragments to the user terminal equipment. In addition, the intelligent contract network retrieves data products or data services associated with the user from the artificial intelligent network according to preferences and requirements set by the user, and generates a recommendation list. For example, the intelligent contract network may recommend some logistics distribution models or logistics efficiency assessment models based on logistics transportation data.

In the embodiment, the electronic commerce transaction big data cloud platform enables the data provider to safely sell the logistics transportation data owned by the data provider to the electronic commerce platform with the requirement, so that additional benefits are obtained; meanwhile, the data demand party can efficiently acquire the logistics transportation data required by the data demand party, and the logistics distribution strategy of the data demand party is optimized by utilizing data products or data services provided by an artificial intelligence technology, so that the logistics efficiency is improved. In the embodiment, the electronic commerce transaction big data cloud platform realizes the functions of safe storage, efficient processing, compliance circulation, intelligent analysis, automatic execution, dynamic display and the like of the electronic commerce transaction big data, and improves the usability, expandability, credibility, visibility and value of the electronic commerce transaction big data.

Example 6:

in this embodiment, the data provider is a social media platform, and has a large amount of social data of users, including personal information, friend relations, hobbies, dynamic posting, comment replies and other information of the users. The data demander is a marketing company that wants to use the user social data for accurate marketing and user portrayal. In this embodiment, the implementation method of the electronic commerce transaction big data cloud platform is as follows:

the data provider uploads the user social data owned by the data provider to the cloud computing server cluster, the cloud computing server cluster segments the data according to the user ID, and each segment is distributed to different cloud server nodes for storage. And meanwhile, the cloud computing server cluster encrypts each fragment and establishes an index relationship between the data fragments and the cloud server nodes. In addition, the cloud computing server cluster also performs the functions of identity authentication, tracing, tamper resistance and the like on each fragment, and adds the fragment to a distributed account book maintained in a blockchain network.

The data demand party logs in the electronic commerce transaction big data cloud platform through the user terminal equipment, and inputs own query conditions, such as user social data of a certain age group or region. And the intelligent contract network searches the data fragments meeting the conditions in the blockchain network according to the query conditions, and finds the corresponding cloud server nodes through the index relation. Then, the intelligent contract network sends a request to the cloud server node, acquires the encrypted data fragments and downloads the encrypted data fragments to the user terminal equipment. In addition, the intelligent contract network retrieves data products or data services associated with the user from the artificial intelligent network according to preferences and requirements set by the user, and generates a recommendation list. For example, the smart contract network may recommend some marketing models or user portrayal models based on user social data.

In the embodiment, the electronic commerce transaction big data cloud platform enables the data provider to safely sell the user social data owned by the data provider to the marketing company with the demand, so that additional benefits are obtained; meanwhile, the data demand party can efficiently acquire the user social data required by the user, and the data products or data services provided by the artificial intelligence technology are utilized to conduct accurate marketing and user portrayal, so that the marketing effect is improved. In the embodiment, the electronic commerce transaction big data cloud platform realizes the functions of safe storage, efficient processing, compliance circulation, intelligent analysis, automatic execution, dynamic display and the like of the electronic commerce transaction big data, and improves the usability, expandability, credibility, visibility and value of the electronic commerce transaction big data.

In order to verify the superiority of the present invention, the present invention also conducted some comparative experiments, and the detailed tables are used to demonstrate the performance differences and advantages of the present invention over the prior art. The specific experimental contents and results are as follows:

experiment III: this experiment compares the difference in data security between the present invention and the prior art. The experiment adopts two different attack modes, namely hacking attack and internal leakage. Hacking refers to an external malicious attacker attempting to steal or destroy data by means of network intrusion or hacking. Internal leakage refers to the intentional or unintentional leakage or sale of data by an internal, unhappy or unsatisfactory employee or partner. The experiment uses two different evaluation indexes, namely a data leakage rate and a data tampering rate. The data leakage rate refers to the proportion of data successfully acquired or copied by an attacker to the total data. The data tampering rate refers to the proportion of data successfully modified or deleted by an attacker to the total data. The experiment used two different data sets, a user behavior data set and a logistic transportation data set, respectively. The user behavior data set comprises 100 tens of thousands of behavior records of users on the electronic commerce platform, and each record comprises information such as user ID, commodity ID, behavior type, time stamp and the like. The logistics transportation data set comprises records of 10 ten thousand cargoes in the transportation process of a logistics company, and each record comprises information such as a cargo ID, a departure place, a destination, a transportation mode, transportation time, transportation cost and the like. The experiment uploaded both data sets into the present invention and prior art, respectively, and hacked them and revealed internally. The results of this experiment are shown in table 3.

Table 3: results of experiment three

As can be seen from the contents of table 3, the present invention has significant advantages in terms of data security, whether hacking or internal leakage, and can effectively prevent data leakage and tampering, and ensure confidentiality and authenticity of data. The invention utilizes cloud computing technology, blockchain technology and privacy computing technology to realize the functions of fragment storage, encryption processing, identity authentication, tracing, tamper resistance and the like of data, so that the data is in a safe and credible state in the transmission, storage and use processes. In contrast, in the prior art, data is usually stored on a centralized server, and is easily attacked or leaked from the outside or the inside, so that the security of the data is seriously threatened. Therefore, the invention has obvious creativity and progress in the aspect of data security.

Experiment IV: this experiment compares the difference in data efficiency between the present invention and the prior art. The experiment adopts two different evaluation indexes, namely data processing time and data processing quality. The data processing time refers to the total time taken from the uploading of data to the downloading of data. The data processing quality is the evaluation of the processed data in terms of accuracy, integrity, consistency and the like. The experiment used two different data sets, a user behavior data set and a logistic transportation data set, respectively. The contents of the user behavior data set and the logistics transportation data set are the same as those of experiment one. The present experiment uploaded both data sets to the present invention and prior art, respectively, and pre-processed and analyzed them. The results of this experiment are shown in table 2.

Table 4: results of experiment four

Data set	Techniques for	Data processing time	Quality of data processing
				User behavior data set	The invention is that	12.5 minutes	95.6％
User behavior data set	Prior Art	35.7 minutes	82.3％
				Logistics transportation data set	The invention is that	8.9 minutes	94.2％
Logistics transportation data set	Prior Art	27.4 minutes	79.8％

As can be seen from table 4, the present invention has significant advantages in terms of data efficiency, and can complete high-quality data processing in a short time, regardless of user behavior data or logistics transportation data. The invention utilizes cloud computing technology, artificial intelligence technology and privacy computing technology to realize the functions of distributed processing, automatic analysis, calculation in encryption state and the like of data, so that the data is in an efficient and intelligent state in the processing and analysis processes. In contrast, in the prior art, data often requires a complex preprocessing process and relies on a single algorithm or model, resulting in low processing time and quality of the data. Therefore, the invention has obvious creativity and progress in data efficiency.

Experiment five: this experiment compares the difference in data value between the present invention and the prior art. The experiment adopts two different evaluation indexes, namely data transaction amount and data transaction income. The data transaction amount refers to the number of data transactions completed in a certain time. Data trade revenue refers to the total revenue of a data trade completed in a certain amount of time. The experiment uses two different data sets, namely a user social data set and other types of data sets on an electronic commerce transaction big data cloud platform. The user social data set comprises social records of 100 ten thousand users on a social media platform, and each record comprises information such as user ID, friend ID, dynamic ID, comment ID and the like. Other types of data sets on the electronic commerce transaction big data cloud platform comprise 100 ten thousand pieces of electronic commerce transaction big data of other types, such as commodity information, merchant information, order information and the like. The experiment uploaded these two data sets into the present invention and prior art, respectively, and market them. The results of this experiment are shown in table 3.

Table 5: experimental five results

As can be seen from Table 5, the present invention has significant advantages in terms of data value, both in terms of user social data and other types of e-commerce transaction big data, the present invention enables higher data transaction amounts and data transaction benefits. The invention utilizes the blockchain technology, the intelligent contract technology and the privacy computing technology to realize the functions of marketization transaction, compliance circulation, reasonable pricing and the like of data, designs an incentive mechanism based on contract theory and promotes cooperation and trust between a data provider and a data demander. In contrast, in the prior art, data often lacks an effective marketing mechanism and a value evaluation system, which results in great difficulty in circulation and pricing of the data, and has problems of transaction risk and inefficiency. Therefore, the invention has obvious creativity and progress in the aspect of data value.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. The utility model provides an electronic commerce trade big data cloud platform, includes cloud computing server cluster, blockchain network, privacy computing network, artificial intelligence network, intelligent contract network, visual network and user terminal equipment, its characterized in that:

2. The electronic commerce transaction big data cloud platform of claim 1, wherein: the cloud computing server cluster further includes the following submodules:

3. The electronic commerce transaction big data cloud platform of claim 1, wherein: the blockchain network further includes the following submodules:

4. The electronic commerce transaction big data cloud platform of claim 1, wherein: the privacy computing network further includes the following submodules:

5. The electronic commerce transaction big data cloud platform of claim 1, wherein: the artificial intelligence network further comprises the following submodules:

6. The electronic commerce transaction big data cloud platform of claim 1, wherein: the intelligent contract network further includes the following submodules:

7. The electronic commerce transaction big data cloud platform of claim 1, wherein: the visualization network further comprises the following submodules:

8. The electronic commerce transaction big data cloud platform of claim 1, wherein: the user terminal device further comprises the following functions:

9. The electronic commerce transaction big data cloud platform of claim 1, wherein: the electronic commerce transaction big data cloud platform further comprises the following functions: