CN114430414A - Block chain-based data asset exchange method and device and storage medium - Google Patents

Block chain-based data asset exchange method and device and storage medium Download PDF

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CN114430414A
CN114430414A CN202011111353.0A CN202011111353A CN114430414A CN 114430414 A CN114430414 A CN 114430414A CN 202011111353 A CN202011111353 A CN 202011111353A CN 114430414 A CN114430414 A CN 114430414A
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CN114430414B (en
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高翔
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Micro Tianjin Technology Development Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
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    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

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Abstract

The application discloses a data asset exchange method and device based on a block chain and a storage medium. Wherein, the method comprises the following steps: a first node receives a first exchange request which is sent by terminal equipment of a first data exchange party and exchanges data assets in a blockchain system, wherein the first node is a node of the blockchain system; the first node responds to the first exchange request, evaluates the data assets by using a preset data asset evaluation model, and determines evaluation scores corresponding to the data assets; and the first node creates an intelligent contract according to the evaluation score and broadcasts a first exchange request in the blockchain system, and writes the data assets into the blockchain of the blockchain system, wherein the intelligent contract is used for exchanging the data assets with the second data exchanger in the blockchain system.

Description

Block chain-based data asset exchange method and device and storage medium
Technical Field
The present application relates to the field of blockchain data exchange technologies, and in particular, to a method, an apparatus, and a storage medium for exchanging data assets based on blockchains.
Background
With the development of blockchain technology, more and more enterprises are beginning to apply blockchain technology, such as: conducting transactions, conducting data storage, etc. Because the blockchain has the characteristics of decentralization, no tampering and the like, the blockchain technology is safer and more credible. However, in the prior art, only the data can be linked and transacted, and the value of the linked data cannot be evaluated, and further, the data cannot be exchanged or shared according to the value of the data asset.
In view of the above technical problems in the prior art that the value of the uplink data asset cannot be evaluated, and further the exchange and sharing of data according to the value of the data asset cannot be realized, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the disclosure provides a data asset exchange method, a device and a storage medium based on a block chain, so as to at least solve the technical problem that in the prior art, the value of a data asset of a chain cannot be evaluated, and further the exchange and sharing of data according to the value of the data asset cannot be realized.
According to an aspect of an embodiment of the present disclosure, there is provided a method for exchanging data assets based on a block chain, including: a first node receives a first exchange request which is sent by terminal equipment of a first data exchange party and exchanges data assets in a blockchain system, wherein the first node is a node of the blockchain system; the first node responds to the first exchange request, evaluates the data assets by using a preset data asset evaluation model, and determines evaluation scores corresponding to the data assets; and the first node creates an intelligent contract according to the evaluation score and broadcasts a first exchange request in the blockchain system, and writes the data assets into the blockchain of the blockchain system, wherein the intelligent contract is used for exchanging the data assets with the second data exchanger in the blockchain system. According to another aspect of the embodiments of the present disclosure, there is also provided a storage medium including a stored program, wherein the method of any one of the above is performed by a processor when the program is executed.
According to another aspect of the embodiments of the present disclosure, there is also provided a data asset exchanging apparatus based on a block chain, including: a first exchange request receiving module, configured to receive, by a first node, a first exchange request for exchanging a data asset in a blockchain system, where the first exchange request is sent by a terminal device of a first data exchange party, and the first node is a node of the blockchain system; the asset evaluation module is used for the first node to respond to the first exchange request, evaluate the data assets by using a preset data asset evaluation model and determine evaluation scores corresponding to the data assets; and the request issuing module is used for creating an intelligent contract according to the evaluation score by the first node, broadcasting a first exchange request in the blockchain system and writing the data assets into the blockchain of the blockchain system, wherein the intelligent contract is used for exchanging the data assets with a second data exchanger in the blockchain system.
According to another aspect of the embodiments of the present disclosure, there is also provided a data asset exchanging apparatus based on a block chain, including: a processor; and a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: a first node receives a first exchange request which is sent by terminal equipment of a first data exchange party and exchanges data assets in a blockchain system, wherein the first node is a node of the blockchain system; the first node responds to the first exchange request, evaluates the data assets by using a preset data asset evaluation model, and determines evaluation scores corresponding to the data assets; and the first node creates an intelligent contract according to the evaluation score and broadcasts a first exchange request in the blockchain system, and writes the data assets into the blockchain of the blockchain system, wherein the intelligent contract is used for exchanging the data assets with the second data exchanger in the blockchain system.
In the embodiment of the present disclosure, in a case where an enterprise has a need to exchange or share data assets, a node of the blockchain system may first evaluate the data assets, and then create an intelligent contract according to an evaluation result, so that other enterprises may exchange or share data assets with the enterprise in the blockchain system according to the intelligent contract. Compared with the prior art, the method and the system can receive the data asset exchange request of the enterprise, then evaluate the value of the data asset, and finally create the intelligent contract according to the evaluation result. Therefore, the technical effect that data can be exchanged or shared in the block chain through the intelligent contract among the enterprises is achieved, and the exchange of the data assets can be more fair and reasonable through the evaluation of the data assets. And then the technical problems that the value of the uplink data assets can not be evaluated and the exchange and sharing of data according to the value of the data assets can not be realized in the prior art are solved.
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The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a hardware block diagram of a computing device for implementing the method according to embodiment 1 of the present disclosure;
FIG. 2 is a schematic diagram of a blockchain-based data asset exchange system according to embodiment 1 of the present disclosure;
FIG. 3 is a schematic diagram of an architecture between a blockchain node and a terminal device of an enterprise according to embodiment 1 of the present disclosure;
fig. 4 is a schematic flow chart of a block chain-based data asset exchange method according to a first aspect of embodiment 1 of the present disclosure;
fig. 5 is a schematic diagram of a block chain based data asset exchange device according to embodiment 2 of the present disclosure;
fig. 6 is a schematic diagram of a data asset exchange device based on a block chain according to embodiment 3 of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. It is to be understood that the described embodiments are merely exemplary of some, and not all, of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
There is also provided in accordance with the present embodiment a blockchain-based data asset exchange method embodiment, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
The method embodiments provided by the present embodiment may be executed in a server or similar computing device. FIG. 1 illustrates a hardware architecture block diagram of a computing device for implementing a blockchain-based data asset exchange method. As shown in fig. 1, the computing device may include one or more processors (which may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory for storing data, and a transmission device for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computing device may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuitry may be a single, stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computing device. As referred to in the disclosed embodiments, the data processing circuit acts as a processor control (e.g., selection of a variable resistance termination path connected to the interface).
The memory may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the block chain based data asset exchanging method in the embodiments of the present disclosure, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implements the block chain based data asset exchanging method of the application software. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory located remotely from the processor, which may be connected to the computing device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device is used for receiving or transmitting data via a network. Specific examples of such networks may include wireless networks provided by communication providers of the computing devices. In one example, the transmission device includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computing device.
It should be noted here that in some alternative embodiments, the computing device shown in fig. 1 described above may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that FIG. 1 is only one example of a particular specific example and is intended to illustrate the types of components that may be present in a computing device as described above.
Fig. 2 is a schematic diagram of a blockchain-based data asset exchange system 200 according to the present embodiment, which may be, for example, a data asset trading platform. Referring to fig. 2, the blockchain-based data asset exchange system 200 (hereinafter referred to as blockchain system 200) includes: a plurality of blockchain nodes, for example: each blockchain node 202 a-202 k, each blockchain node runs the blockchain of the blockchain system 200, and each blockchain node may be maintained by, for example, an enterprise of a different industry, such as: the node 202a is commonly maintained by, for example, a transportation-type enterprise, and the node 202b is commonly maintained by, for example, a warehouse management-type enterprise. Each block link point may communicate with terminal devices of various enterprises, such as: the carrier may communicate with blockchain node 202a through terminal device 100a, accessing blockchain system 200 through blockchain node 202 a; the warehousing company may communicate with the blockchain node 202b through the terminal device 100b and access the blockchain system 200 through the blockchain node 202 b. In the blockchain-based data asset exchange system (e.g., data asset transaction platform), an enterprise may link data assets (e.g., transportation records of a transportation company, storage records of a storage company) generated by the enterprise to the blockchain system 200 through blockchain links, and the linked data assets may be exchanged or shared among the enterprises. It should be noted that the above-described hardware structure can be applied to both the block link points 202a to 202k in the system and the terminal devices 100a and 100b of the enterprise.
Fig. 3 also shows an architectural diagram between the block link node and the terminal equipment of the enterprise, and referring to fig. 3, the application layers of the terminal equipment 100a and the terminal equipment 100b interact with the user (enterprise), and receive a request for uplink data and data exchange and sharing by the enterprise. For example, a transportation enterprise and a warehousing enterprise may interact through the application layer of the terminal devices 100a and 100 b.
The terminal device 100a is then utilized by the transportation enterprise to send instructions or requests for uplink data, read data, and exchange data with other enterprises (e.g., warehousing enterprises) to the blockchain node 202a by calling the API interface layer. Similarly, the warehousing enterprise uses the terminal device 100b to send commands or requests for uplink data, read data, and exchange data with other enterprises (e.g., transportation enterprises) to the blockchain node 202b by calling the API interface layer.
Further, referring to fig. 3, the block link points are generally divided into 3 layers of an API interface layer, a contract layer, and a block chain. The API interface layer is used for receiving related data operation requests (such as data exchange requests), and the contract layer is provided with intelligent contracts, so that uplink data are standardized and inter-enterprise data exchange and sharing are performed by using the intelligent contracts. When the business of data exchange between enterprises is executed, the intelligent contract layer can evaluate the quality and value of the data assets of the enterprises, and then the intelligent contract layer can exchange data with the other side when the quality and value of the data assets of the local enterprise reach the preset scores.
In the above operating environment, according to the first aspect of the present embodiment, a block chain-based data asset exchange method is provided, which is implemented by a block chain link point, such as the block chain node 202a, shown in fig. 2. Fig. 4 shows a flow diagram of the method, which, with reference to fig. 4, comprises:
s402: a first node receives a first exchange request which is sent by terminal equipment of a first data exchange party and exchanges data assets in a blockchain system, wherein the first node is a node of the blockchain system;
s404: the first node responds to the first exchange request, evaluates the data assets by using a preset data asset evaluation model, and determines evaluation scores corresponding to the data assets; and
s406: the first node creates an intelligent contract based on the evaluation score and broadcasts a first exchange request at the blockchain system, and writes data assets to the blockchain of the blockchain system, wherein the intelligent contract is used for exchanging data assets with a second data exchanger in the blockchain system.
As described in the background, as blockchain technology evolves, more and more businesses begin to apply blockchain technology, such as: conducting transactions, conducting data storage, etc. Because the blockchain has the characteristics of decentralization, no tampering and the like, the blockchain technology is safer and more credible. However, in the prior art, only the data can be linked and transacted, and the value of the linked data cannot be evaluated, and further, the data cannot be exchanged or shared according to the value of the data asset.
To solve the technical problem in the background art, in step S402, in the technical solution of this embodiment, a first node first receives a first exchange request, which is sent by a terminal device of a first data exchange party and exchanges data assets in a blockchain system, where the first node is a node of the blockchain system. In one embodiment, the first node is, for example, a blockchain node 202a (hereinafter, the first node is referred to as the first node 202a), and the terminal device of the first data transaction part is, for example, the terminal device 100a of the transportation enterprise. In the case where a transportation enterprise has a need for data asset transaction (e.g., a data exchange with a banking enterprise, a warehousing enterprise, a lending enterprise, etc.), the transportation enterprise may send a first exchange request to exchange transportation records (i.e., data assets) of the transportation enterprise in the blockchain system 200 to the first node 202a through the terminal device 100 a. In this case, the first node 202a may receive the first exchange request. Each blockchain node in the blockchain system 200 may serve as a first node and receive the first exchange request, that is, the blockchain system 200 may be understood to receive the first exchange request for exchanging data assets in the blockchain system, which is sent by the terminal device 100a of the first data exchange party.
Further, in step S404, the first node 202a evaluates the data assets using a preset data asset evaluation model in response to the first exchange request, and determines evaluation scores corresponding to the data assets. In practical applications, the blockchain system 200 is pre-configured with a data asset evaluation model, for example, a rule or algorithm for evaluating a data asset may be run in the model, and the value of the data asset may be evaluated through the model. In the event that the first node 202a receives the first swap request, the data assets that the enterprise needs to swap may be evaluated using the data asset evaluation model in response to the first swap request, such as: and evaluating the transportation records of the transportation enterprises, and then obtaining the evaluation scores corresponding to the transportation records.
Finally, in step S406, first node 202a creates a smart contract based on the evaluation score, for example: the intelligent contract provides that data exchange is only possible if the assessed score of the linked data assets of other enterprises is the same as or similar to the assessed score of the transportation record. Also, the first node 202a broadcasts a first swap request at the blockchain system 200 and writes (uplinks) data assets to the blockchain system 200. Other businesses in the blockchain system 200 may be made aware of the need for data exchange by the transportation business by broadcasting the first exchange request, and a second data exchanger (e.g., a warehousing business) may be made to exchange transportation records with the transportation business in the blockchain system 200 by intelligent contracts.
In this manner, in the event that an enterprise has a need to exchange or share data assets, a node of blockchain system 200 (e.g., first node 202a) may first evaluate the data assets and then create an intelligent contract based on the evaluation, such that other enterprises may exchange or share data assets with the enterprise in blockchain system 200 based on the intelligent contract. Compared with the prior art, the method and the system can receive the data asset exchange request of the enterprise, then evaluate the value of the data asset, and finally create the intelligent contract according to the evaluation result. Therefore, the technical effect that data can be exchanged or shared in the blockchain system through the intelligent contract among the enterprises is achieved, and the exchange of the data assets can be more fair and reasonable through the evaluation of the data assets. And then the technical problems that the value of the uplink data assets can not be evaluated and the exchange and sharing of data according to the value of the data assets can not be realized in the prior art are solved.
Optionally, the method further comprises: the first node receives a second exchange request for exchanging data assets, wherein the second exchange request is generated by terminal equipment of a second data exchanger and is sent to the first node through the second node, the second node is a node of a block chain system, and the second exchange request is used for exchanging data assets of a chain on the second data exchanger with assets of a chain on the first data exchanger; the first node responds to the second exchange request and judges whether the second data exchanger meets the condition of exchanging data assets or not according to the intelligent contract; and triggering an intelligent contract under the condition that the second data exchanger meets the conditions, broadcasting an exchange record of data asset exchange between the second data exchanger and the first data exchanger in the blockchain system, and sending the data asset to the terminal equipment of the second data exchanger through the second node.
Specifically, the first node 202a may also receive a second exchange request for an exchange of data assets. For example: in the event that a warehousing enterprise (a second data exchanger) also needs to exchange data assets in the blockchain system 200, the warehousing enterprise may generate the second exchange request using the terminal device 100b and send the second exchange request to the first node 202a via a second node (e.g., the blockchain node 202b, hereinafter referred to as the second node 202 b). Similarly, in practical operation, each node in the blockchain system 200 may serve as the second node, and the second node 202b may broadcast in the blockchain system 200 after receiving the second exchange request of the second data exchanger, so that each blockchain node in the blockchain system 200 may receive the second exchange request, and thus may be considered to be received by the blockchain system 200. Further, the first node 202a, in response to the second exchange request, determines whether the second data exchanger satisfies the conditions for exchanging the data assets according to the smart contract, that is, whether the warehousing enterprise satisfies the conditions specified in the smart contract related to the transportation records. Finally, the intelligent contract is triggered when the first node 202a determines that the second data exchanger satisfies the condition, and the second data exchanger is broadcasted in the blockchain system 200 to exchange data assets with the first data exchanger, for example: the first node 202a broadcasts an exchange record of data asset exchanges between the transportation enterprise and the warehousing enterprise in the blockchain system 200 so that each node in the blockchain system 200 can cache the exchange record, e.g., each node caches the exchange record in a respective transaction pool. Further, the cached switching records are packed by the out-block node (e.g., the out-block node may be the first node 202a) to generate a new block, and then the new block is broadcasted in the blockchain system 200, and then each blockchain node may store the new block to the blockchain in which the node operates. Further, since the first data exchanger and the second data exchanger have linked their respective data assets to the blockchain system 200, during the data asset exchange process, the terminal device of the second data exchanger (i.e., the terminal device 100b of the warehousing enterprise) may obtain the transportation records (data assets) linked by the transportation enterprise from the blockchain system 200, and specifically may send the data assets to the terminal device 100 of the warehousing enterprise through the second node 202b, so that the warehousing enterprise may obtain the transportation records of the transportation enterprise. In addition, the transportation enterprise can also acquire the data assets (e.g., warehouse records) of the warehousing enterprise linked on the blockchain system 200 during the data exchange process. Therefore, data exchange or sharing in the blockchain system among enterprises is realized. It should be added that, since each node in the blockchain system 200 runs a common blockchain, the enterprise performing data exchange can obtain the exchanged data from each node, that is: the exchange data is obtained from the blockchain system 200.
Optionally, after the data asset is sent to the terminal device of the second data exchanger through the second node, the method further includes: and the first node receives confirmation information of the data exchange to complete the data exchange, wherein the confirmation information is generated by the terminal equipment of the second data exchange party and is sent to the first node through the second node.
Specifically, after the data asset is sent to the terminal device of the second data exchanger through the second node, the second data exchanger may further confirm the data exchange, for example, whether the data exchange is possible or whether the exchanged data asset is received, so that the second data exchanger generates the confirmation information by using the terminal device 100b and broadcasts in the blockchain system 200 through the second node 202b or directly sends the confirmation information to the first node 202a, so that the first node 202 receives the confirmation information of the data exchange, and completes the data exchange. Similarly, the first data exchanger may also perform the same operations as the second data exchanger, and details are not repeated here. In this way, the enterprise can send the confirmation information to exchange during the data exchange in the blockchain system, so that the enterprise can control the exchange process.
Optionally, the determining whether the second data exchanger satisfies the condition for exchanging the data assets according to the smart contract includes: comparing the evaluation score of the data assets on the second data exchange party and the evaluation score of the data assets on the first data exchange party according to the intelligent contract; and judging whether the second data exchanger meets the condition of exchanging the data assets according to the comparison result.
Specifically, the provision of the intelligent contract may be, for example, that the evaluation scores of the data assets linked to the blockchain system 200 by both parties of the enterprise exchanging data are the same or similar. In the operation of determining whether the second data exchanger satisfies the condition for exchanging data assets according to the intelligent contract, the first node 202a compares the evaluation score of the data asset linked by the second data exchanger with the evaluation score of the data asset linked by the first data exchanger according to the intelligent contract, that is, compares the evaluation score corresponding to the transportation record of the transportation enterprise with the evaluation score corresponding to the warehousing record of the warehousing enterprise, and then determines whether the second data exchanger satisfies the condition for exchanging data assets according to the comparison result. For example: in the case where the evaluation scores are the same, it is judged that the condition for exchanging the data assets is satisfied. In addition, it should be noted that, in the intelligent contract, it may also be agreed that the amount paid by the second data exchanger is equivalent to the evaluation score of the data asset, so that the data asset may be exchanged, and thus the second data exchanger may trigger the intelligent contract to obtain the uplink data asset of the first data exchanger even when paying a sufficient amount.
Optionally, after the first node receives a uplink request for uplink of the data asset to the blockchain system from the terminal equipment of the first data exchange party, the method further includes: the first node standardizes the data assets of the chain of the first data exchange party through a preset intelligent contract.
Specifically, for example, each of the blockchain nodes 202a to 202n in the blockchain system 200 is preset with an intelligent contract for standardizing uplink data assets, and after the blockchain node, for example, the first node 202a receives an uplink request sent by the terminal device 100a of the first data exchange party for uplink of data assets to the blockchain system, the intelligent contract may be triggered, so that the data assets (for example, transportation records) uplink by the first data exchange party may be automatically standardized. The normalization process is, for example, but not limited to, operations of cleaning the data assets, removing useless data, normalizing the formats of the data assets, and the like, and the normalization process of the data assets is not particularly limited herein. Therefore, in this way, the uplink data can be standardized, so that any enterprise has a unified standard for uplink data assets, and further convenience is brought to data asset evaluation and data asset exchange. And the data standardization processing is automatically executed through the intelligent contract, so that the method is more convenient and fast.
Optionally, the evaluating the data asset by using a preset data asset evaluation model, and determining an evaluation score corresponding to the data asset includes: the first node evaluates the data quality of the data assets by using a data asset evaluation model and determines the data quality evaluation result of the data assets; the first node evaluates the application value of the data asset by using a data asset evaluation model and determines the application value evaluation result of the data asset; and the first node determines an evaluation score corresponding to the data asset according to the data quality evaluation result and the application value evaluation result.
In particular, the data asset valuation model can evaluate multiple aspects of a data asset, such as: the data quality of the data asset is evaluated, the application value of the data asset is evaluated, and the like, and other aspects of the data asset can be evaluated, which is not limited specifically here. In this embodiment, taking data quality and application value evaluation of a data asset as an example, in the operation of evaluating the data asset by using a preset data asset evaluation model and determining an evaluation score corresponding to the data asset, the first node 202a evaluates the data quality of the data asset by using the data asset evaluation model and determines a data quality evaluation result of the data asset. For example: the data asset assessment model comprises an assessment algorithm related to data quality, so that the data quality of the data asset can be calculated, and the data quality assessment result can be determined. In addition, the first node 202a may also evaluate the application value of the data asset by using the data asset evaluation model, and determine the application value evaluation result of the data asset. For example: the data asset assessment model comprises an assessment algorithm related to the application value of the data, so that the application value of the data asset can be calculated to determine an application value assessment result. Finally, the first node 202a determines an evaluation score corresponding to the data asset according to the data quality evaluation result and the application value evaluation result, that is: an assessment score for the data asset is calculated in conjunction with the results of the assessment of the multiple aspects of the data asset. In this manner, the data asset may thus be evaluated in a number of ways, ultimately determining an evaluation score corresponding to the data asset.
Optionally, the evaluating, by the first node, the data quality of the data asset by using the data asset evaluation model, and determining a data quality evaluation result of the data asset, includes: determining an integrity coefficient of the data asset according to the integrity of the data asset and corresponding data information corresponding to a plurality of preset data fields related to the data asset; determining an accuracy coefficient of the data asset according to data information related to the data asset, which is acquired from the blockchain system; determining a consistency coefficient of the data assets according to data information related to the data assets acquired from the blockchain system; and determining a data quality evaluation result of the data asset according to the integrity coefficient, the consistency coefficient and the accuracy coefficient.
In particular, the data quality may be evaluated from multiple dimensions, such as: integrity, accuracy, and consistency of data assets.
In practical applications, for example, the blockchain system 200 may preset a plurality of data fields related to data assets, and the first data transaction party needs to fill the data assets in the plurality of data fields when sending the first exchange request to the first node 202a through the terminal device 100a, and then determine data integrity according to the filled data assets. In a specific example, the plurality of data fields include, for example, 20 data fields, such as a data time range field, a data content field, and an industry field to which the data belongs, and a score value corresponding to each field may be set to 1, and the first data transaction party needs to fill in the data assets according to the 20 fields. In the operation of calculating the integrity factor, the data integrity factor may be determined according to the score corresponding to the field that has been filled by the first data transaction part, and the calculation formula of the data integrity factor is, for example: the data integrity factor is the score of the field that the first data trafficker has filled divided by the total score of all data fields, e.g. the first data trafficker has filled 10 fields, the data integrity factor may be 10 divided by 20 divided by 0.5.
In addition, in determining the data accuracy coefficient, the first node 202a may first obtain data information related to the data asset in the blockchain system 200, for example: if the data asset is a transportation record, the data information related to the transportation record includes, for example, 4 data fields such as traffic information, cargo information, receiving information, and sending information, and the transportation enterprise, the cargo enterprise, the sending enterprise, and the receiving enterprise all link the data information corresponding to the above 4 data fields in the block chain system 200. Thus, the first node 202a can obtain data information related to the data asset from the blockchain system 200. Further, the data information obtained from the blockchain system 200 is compared to the data assets. In one embodiment, the data content of the data asset (transportation record) includes, for example, four parts of data such as traffic data, cargo data, destination data, and the traffic information, cargo information, destination information, and destination information obtained from the block chain system 200 are compared with the data part included in the data asset to determine whether they are consistent, and a data accuracy coefficient is determined according to the comparison result, where the accuracy coefficient may be calculated by: and the accuracy coefficient is the number of data fields which are successfully compared and the total number of the data fields. For example: the traffic information and the cargo information in the data asset are the same as the traffic information and the cargo information acquired from the blockchain system, and the receiving place information and the delivery place information in the data asset are different from the receiving place information and the delivery place information acquired from the blockchain system, so that the accuracy coefficient is 2 ÷ 4 ÷ 0.5, and the accuracy coefficient of the data asset can be obtained according to the mode.
In addition, the present solution may determine consistency through data information related to data assets acquired from the blockchain system 200, for example, in the operation of determining the data consistency coefficient. In a specific operation, a data field set can be extracted from the data information, and a consistency coefficient of the data asset is determined according to consistency of data in the data field set, wherein the data field set corresponds to a plurality of preset data fields related to data asset consistency. For example, the set of data fields may include 10 data fields (e.g., item name, item price, item weight, seller and buyer, etc.), and the first node 202a may obtain data information (e.g., traffic information, goods information, receiving place information, shipping place information, etc.) related to the data asset, which is linked by different business side nodes (e.g., supplier node, transportation side node, shipping place node, receiving place node) from the block chain system 200, and then extract the data information corresponding to the 10 data fields from the data linked by different business side nodes, respectively. When the data information corresponding to the 10 fields of the uplink data of different service nodes are consistent, it indicates that the consistency of the data asset is 1. In addition, when the data information corresponding to one of the 10 data fields of the uplink data of different service nodes is inconsistent (when the data field to be filled is time, other information is filled, and the data field is inconsistent), it is determined that the consistency coefficient of the data asset is 9/10 — 0.9. A consistency factor for a data asset may be derived in the manner described above, i.e., the consistency factor is, for example, equal to the ratio of the number of consistent data fields to the number of data fields in the set of data fields.
And finally, determining a data quality evaluation result of the data asset according to the integrity coefficient, the consistency coefficient and the accuracy coefficient. Thus, the data quality of the data asset can be evaluated from multiple dimensions. The data quality evaluation can provide a reasonable evaluation for the quality condition of the whole or part of data, and helps the uplink enterprises to know the quality level of the data, so that the data application level is predicted, and the real value of the enterprise data assets is evaluated.
Optionally, determining a data quality evaluation result of the data asset according to the integrity coefficient, the consistency coefficient and the accuracy coefficient includes: determining an integrity weight value related to the integrity coefficient, a consistency weight value related to the consistency coefficient, and an accuracy weight value related to the accuracy coefficient; and determining a data quality evaluation result of the data asset according to the integrity coefficient, the integrity weight value, the consistency coefficient, the consistency weight value, the accuracy coefficient and the accuracy weight value.
Specifically, the data asset evaluation model is preset with weight values corresponding to the integrity coefficient, the consistency coefficient and the accuracy coefficient. In the operation of determining the data quality assessment result of the data asset according to the integrity coefficient, the consistency coefficient, and the accuracy coefficient, the first node 202a first determines an integrity weight value related to the integrity coefficient, a consistency weight value related to the consistency coefficient, and an accuracy weight value related to the accuracy coefficient. Further, according to the integrity coefficient, the integrity weight value, the consistency coefficient, the consistency weight value, the accuracy coefficient and the accuracy weight value, determining a data quality evaluation result of the data asset, namely: and performing weighting calculation according to each dimension and the corresponding weight value to determine the data quality evaluation result. Thus, the data quality evaluation result can be determined with a bias.
Optionally, determining an integrity coefficient of the data asset according to the integrity of the data asset and corresponding data information corresponding to a plurality of preset data fields related to the data asset, including: acquiring field weight values respectively corresponding to a plurality of data fields; and determining the integrity coefficient of the data asset according to the data asset and the field weight value.
Specifically, a field weight value may be introduced in the calculation of the data integrity coefficient, where a plurality of preset data fields related to the data asset correspond to different weight values, for example, 20 fields such as the data time range field, the data content field, and the industry field to which the data belongs correspond to different weight values, and the weight values may be flexibly determined according to the importance degree of the fields, for example: the weight value of the data content field is 0.1, the weight value of the data time range field is 0.05, the weight value of the industry field to which the data belongs is 0.05 and the like. In the process of calculating the integrity factor, the integrity factor may be calculated according to a score corresponding to a field filled by the first data trafficker and a weight value corresponding to the field, for example, the integrity factor is a field 1 score + a field 2 score. + a field n score, and in a specific example, the field filled by the first data trafficker includes a data time range field, a data content field, and an industry field to which the data belongs, and the integrity factor is 1.1 +1 0.05+ 0.05-0.2.
Optionally, determining an accuracy coefficient of the data asset according to data information related to the data asset acquired from the blockchain system includes: acquiring a first weighted value of data information corresponding to the data asset; and determining the accuracy coefficient of the data asset according to the data asset and the first weighted value of the data information.
Specifically, the data information related to the data assets acquired from the blockchain system may also correspond to different weight values (first weight values). In an operation of determining an accuracy coefficient of a data asset based on data information related to the data asset obtained from a blockchain system, a data information weight value corresponding to the data information is first obtained, for example: the weight values corresponding to the traffic information, the cargo information, the receiving place information and the delivery place information in the data information are respectively 0.2, 0.3 and 0.3. And then determining the accuracy coefficient of the data asset according to the first weight value of the data asset and the data information, namely performing weighting calculation according to the weight value to determine the accuracy coefficient of the data asset. In practical applications, each part of data (traffic data, goods data, destination data, etc.) in the data asset corresponds to the same value 1, for example, the accuracy coefficient may be calculated by: comparing the scores of the successful data parts with the corresponding weight values, and then accumulating, for example: if the successfully compared part comprises traffic information and cargo information, the accuracy coefficient is as follows: 1 × 0.2+1 × 0.2 ═ 0.4.
Consistency-related weight values can also be introduced in the calculation of the consistency coefficient, for example: and presetting that each field corresponds to different consistency weight values, wherein 20 fields respectively correspond to 20 consistency weight values. Then, performing weighted calculation according to the field scores which are filled in consistently and the corresponding consistency weight values, for example: in the process of filling in the data asset, if the fields 1 to 3 in the 20 preset fields meet the consistency requirement, the consistency coefficient is the weight value of field 1 score field 1 (consistency weight value) + field 2 score field 2 weight value + field 3 score field 3 weight value.
Optionally, the evaluating the application value of the data asset by the first node using the data asset evaluation model to determine the result of evaluating the application value of the data asset includes: determining a scene economic coefficient of the data asset according to an application scene of the data asset; determining a scarcity coefficient of the data asset according to the scarcity of the data asset; determining the timeliness coefficient of the data asset according to the time range of the data asset; determining a multidimensional coefficient of the data asset according to the incidence relation of the data asset and other industries; and determining an application value evaluation result of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient and the multidimensional coefficient.
In particular, the application value of the data may include a number of dimensions, such as: multiple dimensions such as scene economy, scarcity, timeliness and multi-dimensionality. In the operation of evaluating the application value of the data asset by the first node using the data asset evaluation model and determining the application value evaluation result of the data asset, the scene economic coefficient of the data asset can be determined according to the application scene of the data asset. In the concrete implementation, different scene economic coefficients are set for different application scenes in advance in the data asset evaluation model, for example: the scene related to the offline transaction and the scene related to the online transaction correspond to different scene economic coefficients, and the data asset evaluation model can determine the scene economic coefficients of the data assets according to the application scene of the data assets. And accumulating the scene economic coefficients of the plurality of scenes under the condition that the data asset relates to the plurality of scenes to finally obtain the scene economic coefficients of the data asset. For example: the data asset relates to an offline trading scene and an online trading scene, and the coefficients corresponding to the two scenes are 0.2 and 0.3 respectively, so that the scene economy coefficient of the data asset is 0.2+0.3 and 0.5. In addition, a weight value can be introduced in the calculation of the scene economy coefficient for weighted calculation, for example: the off-line trading scene and the on-line trading scene have corresponding weights of 0.4 and 0.6 respectively, so that the scene economic coefficient of the data asset is 0.2 × 0.4+0.3 × 0.6 — 0.26, and the scene economic coefficient can be calculated with bias.
Furthermore, data generated by different industries, for example, correspond to different scarcity, such as: the financial industry, the transportation industry and the storage industry correspond to different scarcity coefficients, and the asset evaluation model can determine the scarcity coefficient of the data asset according to the scarcity of the data asset. Furthermore, the calculation scarcity coefficient may also be determined by data in the blockchain system, i.e. from the amount of data stored in the blockchain. For example: by querying in the blockchain system, it can be determined that the total data amount in the blockchain system is 100, and the data amount related to (or of the same type as) the data asset is 10, then the scarcity coefficient is: 10 ÷ 100 ÷ 0.1. In addition, the scarcity can also be determined according to the data query record in the blockchain system, namely the scarcity is determined according to the requirements of enterprises. For example: the total number of queries recorded is 1000, and the number of queries associated with (or of the same type as) the data asset is 50, the scarcity coefficient is 50/1000 0.05. In addition, the calculation of the scarcity coefficient may also introduce a weight value for weighted calculation, for example: the rareness weight calculated by the data volume is 0.4, and the rareness weight calculated by the query number is 0.6, the rareness coefficient of the data asset is 0.1 × 0.4+0.05 × 0.6 — 0.34.
In addition, some businesses or scenarios require real-time data, while some scenarios require historical data for longer periods of time, so the data asset valuation model can determine the timeliness factor of the data asset based on the time horizon of the data asset, such as: the timeliness index of the cross-border trade data generated in the last day is 1, the timeliness index of the cross-border trade data generated in the last week is 0.7, the timeliness index of the cross-border trade data generated in the last month is 0.5, the timeliness index of the cross-border trade data generated in the last quarter is 0.3, the timeliness index of the cross-border trade data generated in the last year is 0.1 and the like, namely, data assets in different time ranges correspond to different timeliness coefficients.
In addition, data assets may also relate to multi-dimensionality (or crossability) of associations with other industries, such as: in one particular example, the data assets are associated with different business types or quantities corresponding to different multidimensional properties: when 5 enterprises or domains are associated with the data assets, the multidimensional coefficient is 0.5, and when 10 enterprises are associated, the multidimensional coefficient is 1. Therefore, the evaluation model can also determine the multidimensional coefficients of the data assets according to the association relationship of the data assets with other industries. And finally, determining an application value evaluation result of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient and the multidimensional coefficient. Thus, the assessment results of the application value of the data asset can be determined from multiple dimensions.
Optionally, the evaluating the application value of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient and the multidimensional coefficient includes: determining a scarcity weight value associated with the scarcity coefficient, a scene economy weight value associated with the scene economy coefficient, a timeliness weight value associated with the timeliness coefficient, and a multidimensional weight value associated with the multidimensional coefficient; and determining an application value evaluation result of the data asset according to the scarcity coefficient, the scarcity weight value, the scene economy coefficient, the scene economy weight value, the timeliness coefficient, the timeliness weight value, the multidimensional coefficient and the multidimensional weight value.
Specifically, in the evaluation model, for example, different weight values are set for the scene economy coefficient, the scarcity coefficient, the timeliness coefficient, and the multidimensional coefficient, and in the operation of evaluating the application value of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient, and the multidimensional coefficient, it may be determined to first determine a scarcity weight value related to the scarcity coefficient, a scene economy weight value related to the scene economy coefficient, a timeliness weight value related to the timeliness coefficient, and a multidimensional weight value related to the multidimensional coefficient. Further, determining a data quality evaluation result of the data asset according to the scarcity coefficient, the scarcity weight value, the scene economy coefficient, the scene economy weight value, the timeliness coefficient, the multi-dimensional coefficient and the multi-dimensional weight value, namely performing weighted calculation according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient, the multi-dimensional coefficient and respective corresponding weights to determine an application value evaluation result of the data asset. Thus, there may be a bias in computing the value of the data assets for application.
Optionally, the sending the data asset to the terminal device of the second data exchanger through the second node includes: the first node encrypts the data assets by using the public key of the second data exchanger to obtain encrypted data; the first node performs Hash calculation on the data assets by utilizing a Hash algorithm to obtain the abstract of the data assets, and performs signature on the abstract by utilizing a private key of a first data exchange party to obtain a digital signature; and the first node sends the encrypted data and the digital signature to the terminal equipment of the second data exchanger through the second node.
Specifically, in the operation of sending the data asset to the terminal device of the second data exchanger through the second node, the first node 202a first encrypts the data asset with the public key of the second data exchanger, for example: and encrypting the transportation record by using the public key of the storage enterprise to obtain encrypted data. Further, the first node 202a performs hash calculation on the data asset by using a hash algorithm to obtain a digest of the data asset, and signs the digest by using a private key of the first data exchange party to obtain a digital signature, for example: the digest is digitally signed using the private key of the transportation enterprise. Finally, the first node 202a sends the encrypted data and the digital signature to the terminal device 100b of the second data exchanger via the second node. Therefore, data can be encrypted, and the safety of the data is guaranteed.
In addition, it should be added that the technical solution provides a data quality management, data asset evaluation and data exchange method based on an intelligent contract, so that the following 3 points are realized through the intelligent contract:
1. standardizing data through an intelligent contract;
2. performing data asset evaluation on the on-chain data assets uploaded to the data chain system by the enterprise;
3. data assets are shared and exchanged based on the scores.
Specifically, regarding the data exchange process, the block link node may perform the following steps:
s102: the blockchain system 200 receives a release request for data exchange and sharing sent by the terminal device 100a of the enterprise 1 through the blockchain node 202a, performs value evaluation on the acquired data of the enterprise 1 by using a preset data asset value evaluation model, and creates an intelligent contract;
s104: the blockchain system 200 receives a purchase request sent by the terminal device 100b of the enterprise 2 through the blockchain node 202b for data exchange and sharing;
s106: when the blockchain system 200 determines that the value of the data asset of the enterprise 1 can exchange data with the enterprise 2 according to the intelligent contract, triggering the intelligent contract, broadcasting a request for exchanging data with the enterprise 2 in the blockchain system 200, and acquiring the data of the enterprise 1 on the blockchain;
s110: enterprise 2 utilizes computing device 100b to send information confirming data exchange and sharing to block-link point 202b through the API interface so that block-link node 202b performs data exchange and sharing with block-link point 202 a.
Therefore, the technical scheme can standardize the data of the enterprise uplink by using the intelligent contract, namely, the standardization of the data is realized before the data uplink by using the specific intelligent contract, and the use and transmission of invalid or high-risk data in each business process are reduced.
In addition, when two parties of blockchain system 200 exchange data on the chain through blockchain system 200, the present solution utilizes intelligent contracts to evaluate the value of data assets on the chain (asset evaluation, etc.) of the two parties. And determining whether to perform exchange and sharing of data assets according to the result of the evaluation.
The transaction is issued by a data asset seller (i.e. a first data exchanger) on a data asset transaction platform based on a blockchain, and an intelligent contract is created; the purchase payment completes the transaction by the buyer (i.e., the second data exchanger) triggering the smart contract; and in the process of data asset transaction, data asset information uplink, data asset transaction user uplink, data asset transaction information uplink and distributed storage are synchronized to each endpoint in real time.
In the transaction, a data seller encrypts data by using a public key of a buyer to generate a data ciphertext, and the encrypted data cannot be decrypted by other nodes except a receiver with the private key, so that the safety of the data in the transmission process is ensured. Meanwhile, the data is calculated through a hash function to obtain an abstract of the data, and the abstract is digitally signed by using a private key of the data. And triggering the intelligent contract, sending the data ciphertext and the digital signature to the buyer by the data seller, decrypting the digital signature by using the public key of the data seller after the data seller receives the data ciphertext and the digital signature to obtain the data abstract, and verifying the identity of the data seller. And simultaneously, decrypting the data ciphertext by using a private key of the user to obtain original data, calculating the abstract of the data through a hash function, and quickly verifying the integrity of the data by comparing the two abstracts. If the verification is passed, the whole transaction process is completed, and the transaction information is approved by all nodes in the system through a consensus mechanism according to a data recording method and is recorded in the blockchain system 200.
Further, referring to fig. 1, according to a second aspect of the present embodiment, there is provided a storage medium. The storage medium comprises a stored program, wherein the method of any of the above is performed by a processor when the program is run.
Thus, according to this embodiment, in a situation where an enterprise has a need to exchange or share data assets, the nodes of blockchain system 200 may first evaluate the data assets and then create an intelligent contract according to the evaluation result, so that other enterprises may exchange or share data assets with the enterprise in the blockchain system according to the intelligent contract. Compared with the prior art, the method and the system can receive the data asset exchange request of the enterprise, then evaluate the value of the data asset, and finally create the intelligent contract according to the evaluation result. Therefore, the technical effect that data can be exchanged or shared in the blockchain system 200 through the intelligent contract among enterprises is achieved, and the exchange of the data assets can be more fair and reasonable through the evaluation of the data assets. And then the technical problems that the value of the uplink data assets can not be evaluated and the exchange and sharing of data according to the value of the data assets can not be realized in the prior art are solved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
Fig. 5 shows a blockchain based data asset exchange device 500 according to the present embodiment, which device 500 corresponds to the method according to the first aspect of embodiment 1. Referring to fig. 5, the apparatus 500 includes: a first exchange request receiving module 510, configured to receive, by a first node, a first exchange request for exchanging data assets in a blockchain system, where the first exchange request is sent by a terminal device of a first data exchange party, where the first node is a node of the blockchain system; the asset evaluation module 520 is used for the first node to evaluate the data assets by using a preset data asset evaluation model in response to the first exchange request and determine evaluation scores corresponding to the data assets; and a request issuing module 530, configured to create an intelligent contract for the first node according to the evaluation score and broadcast the first exchange request at the blockchain system, and write the data asset into the blockchain of the blockchain system, where the intelligent contract is used for exchanging the data asset with the second data exchanger in the blockchain system.
Optionally, the apparatus 500 further comprises: a second exchange request receiving module, configured to receive, by a first node, a second exchange request for performing data asset exchange, where the second exchange request is generated by a terminal device of a second data exchanger and sent to the first node through the second node, the second node is a node of a blockchain system, and the second exchange request is used for exchanging data assets linked by the second data exchanger with assets linked by the first data exchanger; the condition judgment module is used for responding to the second exchange request by the first node and judging whether the second data exchanger meets the condition of exchanging data assets or not according to the intelligent contract; and the data sending module is used for triggering the intelligent contract under the condition that the second data exchanger meets the conditions, broadcasting the exchange record of data asset exchange between the second data exchanger and the first data exchanger in the block chain system, and sending the data asset to the terminal equipment of the second data exchanger through the second node.
Optionally, after sending the data asset to the terminal device of the second data exchanger through the second node, the apparatus 500 further comprises: and the confirmation information receiving module is used for the first node to receive the confirmation information of the data exchange to complete the data exchange, wherein the confirmation information is generated by the terminal equipment of the second data exchange party and is sent to the first node through the second node.
Optionally, the condition determining module includes: the sub-module is used for comparing the evaluation score of the data asset of the uplink of the second data exchange party with the evaluation score of the data asset of the uplink of the first data exchange party according to the intelligent contract; and the judgment submodule is used for judging whether the second data exchanger meets the condition of exchanging the data assets according to the comparison result.
Optionally, the apparatus 500 further comprises: the standardized processing module is used for standardizing the data assets uplinked by the first data exchange party through a preset intelligent contract after the first node receives an uplink request which is sent by terminal equipment of the first data exchange party and used for uplinking the data assets to the block chain system.
Optionally, the asset assessment module 520 comprises: the data quality evaluation submodule is used for evaluating the data quality of the data assets by the first node through the data asset evaluation model and determining the data quality evaluation result of the data assets; the application value evaluation submodule is used for evaluating the application value of the data asset by the first node through the data asset evaluation model and determining the application value evaluation result of the data asset; and the evaluation score calculation submodule is used for determining the evaluation score corresponding to the data asset by the first node according to the data quality evaluation result and the application value evaluation result.
Optionally, the data quality evaluation sub-module includes: the integrity evaluation unit is used for determining an integrity coefficient of the data asset according to the integrity of the data asset and corresponding data information corresponding to a plurality of preset data fields related to the data asset; the accuracy evaluation unit is used for determining an accuracy coefficient of the data asset according to data information related to the data asset, which is acquired from the block chain system; the consistency evaluation unit is used for determining a consistency coefficient of the data assets according to data information which is acquired from the block chain system and is related to the data assets; and the total evaluation unit is used for determining the data quality evaluation result of the data assets according to the integrity coefficient, the consistency coefficient and the accuracy coefficient.
Optionally, the integrity evaluation unit comprises: a first weight obtaining subunit, configured to obtain field weight values corresponding to the plurality of data fields, respectively; and the integrity evaluation subunit is used for determining an integrity coefficient of the data asset according to the data asset and the field weight value.
Optionally, the accuracy evaluation unit includes: a second weight obtaining subunit, configured to obtain a weight value of the data information corresponding to the data information; and the accuracy evaluation subunit is used for determining the accuracy coefficient of the data asset according to the data asset and the weight value of the data information.
Optionally, the consistency evaluation unit includes: a third weight obtaining subunit, configured to obtain a weight value of the data information corresponding to the data information; and the consistency evaluation subunit is used for determining the consistency coefficient of the data asset according to the data asset and the weight value of the data information.
Optionally, the total evaluation unit includes: a weight value determining subunit configured to determine an integrity weight value related to the integrity coefficient, a consistency weight value related to the consistency coefficient, and an accuracy weight value related to the accuracy coefficient; and the evaluation subunit is used for determining a data quality evaluation result of the data asset according to the integrity coefficient, the integrity weight value, the consistency coefficient, the consistency weight value, the accuracy coefficient and the accuracy weight value.
Optionally, the application value evaluation sub-module includes: the scene economy evaluation unit is used for determining a scene economy coefficient of the data asset according to the application scene of the data asset; the scarcity evaluation unit is used for determining a scarcity coefficient of the data asset according to the application industry of the data asset; the timeliness evaluation unit is used for determining the timeliness coefficient of the data asset according to the time range of the data asset; the multidimensional evaluation unit is used for determining a multidimensional coefficient of the data asset according to the incidence relation of the data asset and other industries; and the application value evaluation unit is used for determining the application value evaluation result of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient and the multidimensional coefficient.
Optionally, the application value evaluation unit includes: a weight determination subunit configured to determine a scarcity weight value associated with the scarcity coefficient, a scene economy weight value associated with the scene economy coefficient, a timeliness weight value associated with the timeliness coefficient, and a multidimensional weight value associated with the multidimensional coefficient; and the application value evaluation subunit is used for determining an application value evaluation result of the data asset according to the scarcity coefficient, the scarcity weight value, the scene economy coefficient, the scene economy weight value, the timeliness coefficient, the timeliness weight value, the multidimensional coefficient and the multidimensional weight value.
Optionally, the data sending module includes: the first encryption submodule is used for encrypting the data assets by the first node by using the public key of the second data exchanger to obtain encrypted data; the second encryption submodule is used for the first node to perform hash calculation on the data asset by using a hash algorithm to obtain an abstract of the data asset, and to perform signature on the abstract by using a private key of the first data exchange party to obtain a digital signature; and the data sending submodule is used for sending the encrypted data and the digital signature to the terminal equipment of the second data exchanger through the second node by the first node.
Thus, according to this embodiment, in a case where an enterprise has a need to exchange or share data assets, a node of the blockchain system may first evaluate the data assets, and then create an intelligent contract according to the evaluation result, so that other enterprises may exchange or share data assets with the enterprise in the blockchain system according to the intelligent contract. Compared with the prior art, the method and the system can receive the data asset exchange request of the enterprise, then evaluate the value of the data asset, and finally create the intelligent contract according to the evaluation result. Therefore, the technical effect that data can be exchanged or shared in the block chain through the intelligent contract among the enterprises is achieved, and the exchange of the data assets can be more fair and reasonable through the evaluation of the data assets. And then the technical problems that the value of the uplink data assets can not be evaluated and the exchange and sharing of data according to the value of the data assets can not be realized in the prior art are solved.
Example 3
Fig. 6 shows a blockchain based data asset exchange device 600 according to the first aspect of the present embodiment, which device 600 corresponds to the method according to the first aspect of embodiment 1. Referring to fig. 6, the apparatus 600 includes: a processor 610; and a memory 620 coupled to the processor 610 for providing instructions to the processor 610 to process the following processing steps: a first node receives a first exchange request which is sent by terminal equipment of a first data exchange party and exchanges data assets in a blockchain system, wherein the first node is a node of the blockchain system; the first node responds to the first exchange request, evaluates the data assets by using a preset data asset evaluation model, and determines evaluation scores corresponding to the data assets; and the first node creates an intelligent contract according to the evaluation score and broadcasts a first exchange request in the blockchain system, and writes the data assets into the blockchain of the blockchain system, wherein the intelligent contract is used for exchanging the data assets with the second data exchanger in the blockchain system.
Optionally, the memory 620 is further configured to provide the processor 610 with instructions to process the following processing steps: the first node receives a second exchange request for exchanging data assets, wherein the second exchange request is generated by terminal equipment of a second data exchanger and is sent to the first node through the second node, the second node is a node of a block chain system, and the second exchange request is used for exchanging data assets of a chain on the second data exchanger with assets of a chain on the first data exchanger; the first node responds to the second exchange request and judges whether the second data exchanger meets the condition of exchanging data assets or not according to the intelligent contract; and triggering an intelligent contract under the condition that the second data exchanger meets the conditions, broadcasting an exchange record of data asset exchange between the second data exchanger and the first data exchanger in the blockchain system, and sending the data asset to the terminal equipment of the second data exchanger through the second node.
Optionally, after the data asset is sent to the terminal device of the second data exchanger through the second node, the method further includes: and the first node receives confirmation information of the data exchange to complete the data exchange, wherein the confirmation information is generated by the terminal equipment of the second data exchange party and is sent to the first node through the second node.
Optionally, the determining whether the second data exchanger satisfies the condition for exchanging the data assets according to the smart contract includes: comparing the evaluation score of the data assets on the second data exchange party and the evaluation score of the data assets on the first data exchange party according to the intelligent contract; and judging whether the second data exchanger meets the condition of exchanging the data assets according to the comparison result.
Optionally, after the first node receives a uplink request for uplink of the data asset to the blockchain system from the terminal equipment of the first data exchange party, the method further includes: the first node standardizes the data assets of the chain of the first data exchange party through a preset intelligent contract.
Optionally, the evaluating the data asset by using a preset data asset evaluation model, and determining an evaluation score corresponding to the data asset includes: the first node evaluates the data quality of the data assets by using a data asset evaluation model and determines the data quality evaluation result of the data assets; the first node evaluates the application value of the data asset by using a data asset evaluation model and determines the application value evaluation result of the data asset; and the first node determines an evaluation score corresponding to the data asset according to the data quality evaluation result and the application value evaluation result.
Optionally, the evaluating, by the first node, the data quality of the data asset by using the data asset evaluation model, and determining a data quality evaluation result of the data asset, includes: determining an integrity coefficient of the data asset according to the integrity of the data asset and corresponding data information corresponding to a plurality of preset data fields related to the data asset; determining an accuracy coefficient of the data asset according to data information related to the data asset, which is acquired from the blockchain system; determining a consistency coefficient of the data assets according to data information related to the data assets acquired from the blockchain system; and determining a data quality evaluation result of the data asset according to the integrity coefficient, the consistency coefficient and the accuracy coefficient.
Optionally, determining an integrity coefficient of the data asset according to the integrity of the data asset and corresponding data information corresponding to a plurality of preset data fields related to the data asset, including: acquiring field weight values respectively corresponding to a plurality of data fields; and determining the integrity coefficient of the data asset according to the data asset and the field weight value.
Optionally, determining a data quality evaluation result of the data asset according to the integrity coefficient, the consistency coefficient and the accuracy coefficient includes: determining an integrity weight value related to the integrity coefficient, a consistency weight value related to the consistency coefficient, and an accuracy weight value related to the accuracy coefficient; and determining a data quality evaluation result of the data asset according to the integrity coefficient, the integrity weight value, the consistency coefficient, the consistency weight value, the accuracy coefficient and the accuracy weight value.
Optionally, the evaluating, by the first node, the application value of the data asset by using the data asset evaluation model, and determining an application value evaluation result of the data asset, includes: determining a scene economic coefficient of the data asset according to the application scene of the data asset; determining the scarcity coefficient of the data asset according to the application industry of the data asset; determining a timeliness coefficient of the data asset according to the time range of the data asset; determining a multidimensional coefficient of the data asset according to the incidence relation of the data asset and other industries; and determining an application value evaluation result of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient and the multidimensional coefficient.
Optionally, determining an application value evaluation result of the data asset according to the scene economy coefficient, the scarcity coefficient, the timeliness coefficient and the multidimensional coefficient, including: determining a scarcity weight value associated with the scarcity coefficient, a scene economy weight value associated with the scene economy coefficient, a timeliness weight value associated with the timeliness coefficient, and a multidimensional weight value associated with the multidimensional coefficient; and determining an application value evaluation result of the data asset according to the scarcity coefficient, the scarcity weight value, the scene economy coefficient, the scene economy weight value, the timeliness coefficient, the timeliness weight value, the multidimensional coefficient and the multidimensional weight value.
Optionally, the sending the data asset to the terminal device of the second data exchanger through the second node includes: the first node encrypts the data assets by using the public key of the second data exchanger to obtain encrypted data; the first node performs Hash calculation on the data assets by utilizing a Hash algorithm to obtain the abstract of the data assets, and performs signature on the abstract by utilizing a private key of a first data exchange party to obtain a digital signature; and the first node sends the encrypted data and the digital signature to the terminal equipment of the second data exchanger through the second node.
Thus, according to this embodiment, in a case where an enterprise has a need to exchange or share data assets, a node of the blockchain system may first evaluate the data assets, and then create an intelligent contract according to the evaluation result, so that other enterprises may exchange or share data assets with the enterprise in the blockchain system according to the intelligent contract. Compared with the prior art, the method and the system can receive the data asset exchange request of the enterprise, then evaluate the value of the data asset, and finally create the intelligent contract according to the evaluation result. Therefore, the technical effect that data can be exchanged or shared in the block chain through the intelligent contract among the enterprises is achieved, and the exchange of the data assets can be more fair and reasonable through the evaluation of the data assets. And then the technical problems that the value of the uplink data assets can not be evaluated and the exchange and sharing of data according to the value of the data assets can not be realized in the prior art are solved.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be 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, units or modules, and may be in an electrical 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 units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, which can store program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A method for block chain based data asset exchange, comprising:
a first node receives a first exchange request which is sent by terminal equipment of a first data exchange party and used for exchanging data assets in a blockchain system, wherein the first node is a node of the blockchain system;
the first node responds to the first exchange request, evaluates the data assets by using a preset data asset evaluation model and determines evaluation scores corresponding to the data assets; and
the first node creates an intelligent contract according to the evaluation score and broadcasts the first exchange request at the blockchain system, and writes the data asset into a blockchain of the blockchain system, wherein the intelligent contract is used for exchanging the data asset with a second data exchanger in the blockchain system.
2. The method of claim 1, further comprising:
the first node receives a second exchange request for exchanging data assets, wherein the second exchange request is generated by terminal equipment of a second data exchanger and is sent to the first node through a second node, the second node is a node of the block chain system, and the second exchange request is used for exchanging data assets of uplink of the second data exchanger with assets of uplink of the first data exchanger;
the first node responds to the second exchange request and judges whether the second data exchanger meets the condition of exchanging the data assets according to the intelligent contract; and
and triggering the intelligent contract under the condition that the second data exchanger meets the condition, broadcasting an exchange record of data asset exchange between the second data exchanger and the first data exchanger in the blockchain system, and sending the data asset to the terminal equipment of the second data exchanger through the second node.
3. The method of claim 2, further comprising, after sending the data asset to the terminal device of the second data exchanger through the second node:
and the first node receives confirmation information of data exchange to complete the data exchange, wherein the confirmation information is generated by the terminal equipment of the second data exchanger and is sent to the first node through the second node.
4. The method of claim 2, wherein determining whether the second data exchanger satisfies the conditions for exchanging the data assets according to the smart contract comprises:
comparing the evaluation score of the data assets on the second data exchange party and the evaluation score of the data assets on the first data exchange party according to the intelligent contract; and
and judging whether the second data exchanger meets the condition of exchanging the data assets according to the comparison result.
5. The method of claim 1, wherein after the first node receives a uplink request from a terminal equipment of the first data switch to uplink the data asset to the blockchain system, the method further comprises:
and the first node standardizes the data assets of the first data exchange party uplink through a preset intelligent contract.
6. The method of claim 1, wherein evaluating the data asset using a pre-established data asset evaluation model to determine an evaluation score corresponding to the data asset comprises:
the first node evaluates the data quality of the data assets by using the data asset evaluation model and determines the data quality evaluation result of the data assets;
the first node evaluates the application value of the data asset by using the data asset evaluation model and determines the application value evaluation result of the data asset; and
and the first node determines an evaluation score corresponding to the data asset according to the data quality evaluation result and the application value evaluation result.
7. The method of claim 6, wherein the first node evaluates the data quality of the data asset using the data asset evaluation model to determine a data quality evaluation result for the data asset, comprising:
determining an integrity coefficient of the data asset according to the integrity of the data asset and corresponding data information corresponding to a plurality of preset data fields related to the data asset;
determining an accuracy coefficient of the data asset according to data information related to the data asset acquired from the blockchain system;
determining a consistency coefficient of the data asset according to data information related to the data asset, which is acquired from the blockchain system; and
and determining a data quality evaluation result of the data asset according to the integrity coefficient, the consistency coefficient and the accuracy coefficient.
8. The method of claim 7, wherein determining the integrity factor of the data asset based on the integrity of the data asset with respect to corresponding data information corresponding to a plurality of preset data fields associated with the data asset comprises:
acquiring field weight values respectively corresponding to the plurality of data fields; and
and determining an integrity coefficient of the data asset according to the data asset and the field weight value.
9. The method of claim 7, wherein determining the accuracy coefficient for the data asset based on data information associated with the data asset obtained from the blockchain system comprises:
acquiring a first weighted value of data information corresponding to the data asset; and
and determining an accuracy coefficient of the data asset according to the data asset and the first weighted value of the data information.
10. A storage medium comprising a stored program, wherein the method of any one of claims 1 to 9 is performed by a processor when the program is run.
CN202011111353.0A 2020-10-16 2020-10-16 Block chain-based data asset exchange method, device and storage medium Active CN114430414B (en)

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