CN114926157A - Data processing method for digital assets and computer readable storage medium - Google Patents
Data processing method for digital assets and computer readable storage medium Download PDFInfo
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/04—Payment circuits
- G06Q20/06—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
- G06Q20/065—Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme using e-cash
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
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- G06Q20/223—Payment schemes or models based on the use of peer-to-peer networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/382—Payment protocols; Details thereof insuring higher security of transaction
- G06Q20/3825—Use of electronic signatures
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention provides a data processing method of a digital asset and a computer readable storage medium. Wherein the method comprises the following steps: acquiring a reference price and a cost price of a target digital asset; inputting the reference price and the cost price into a preset Bayesian Nash equilibrium formula, and calculating to obtain an initial price; acquiring a circulation record of a target digital asset from a block chain network; correcting the initial price according to the circulation record to obtain a circulation price; and issuing the circulation price, and recording circulation information of the target digital asset transaction by the blockchain. The scheme of the invention can realize the full-flow process tracing of the product, and fundamentally avoids the possibility of counterfeiting.
Description
Technical Field
The present invention relates to internet information technology, and more particularly, to a data processing method and a computer-readable storage medium for digital assets.
Background
Digital assets (Digital assets) refer to non-monetary assets that are owned or controlled by a business or individual, in the form of electronic data, that can be used to hold assets for sale or in the process of production. Digital assets are digital commodities, but exhibit the properties of assets.
With the development of block chains, the application of digital assets is increasingly widespread, and the scale growth is rapid. Compared with physical assets, digital assets have many differences in transaction rules, pricing standards, management specifications, and the like. The existing pricing methods, including cost pricing, fat skimming pricing, auction pricing, AHP (analytic hierarchy process) and The like, are all from real assets, and are generated based on The characteristics of real assets. Digital assets are rapidly developed intangible assets, and the traditional pricing method is not suitable for the digital assets.
It has been generally accepted by current theory that the cost of producing an asset is not necessarily related to its corresponding commercial price, which is driven by the value it creates. The evaluation of the business value of the data is very difficult to achieve, which results in the failure of value-driven pricing systems.
In addition, the transaction process of the digital assets can have corresponding influence on the price. Existing asset pricing does not take this into account.
Disclosure of Invention
An object of the present invention is to provide a data processing method for realizing a digital asset which conforms to the characteristics of digital asset circulation.
It is a further object of the present invention to provide a method for processing data of digital assets that promotes stable healthy circulation of the digital assets.
In particular, the invention provides a data processing method of a digital asset, comprising the following steps:
acquiring a reference price and a cost price of a target digital asset;
inputting the reference price and the cost price into a preset Bayesian Nash equilibrium formula, and calculating to obtain an initial price;
acquiring a circulation record of a target digital asset from a block chain network;
correcting the initial price according to the circulation record to obtain a circulation price;
and issuing the circulation price, and recording circulation information of the target digital asset transaction by the blockchain.
Optionally, the step of obtaining the reference price of the target digital asset comprises:
acquiring a transaction record of the digital asset from the blockchain network;
querying assets with the similarity exceeding a set threshold value with the target digital assets from the transaction records as sample assets;
obtaining a price of the sample asset;
and calculating the reference price according to the price of the sample asset.
Optionally, the step of calculating the reference price according to the price of the sample asset comprises:
calculating the average value or the median value of the prices of the sample assets as a reference price; or alternatively
And predicting the prices of the sample assets by using a preset prediction algorithm according to the transaction time sequence of the samples, wherein the obtained predicted prices serve as reference prices.
Optionally, the step of obtaining the cost price of the target digital asset comprises:
determining a standard rate of profit for the target digital asset;
the cost price is derived by multiplying the profit standard rate by the cost of the target digital asset.
Optionally, the bayesian nash equalization formula is:
in the formula, Pv2 is the initial price,
for the preset weight coefficient, Pr1 is the cost price, and Pv1 is the reference price.
Optionally, the step of correcting the initial price according to the circulation record includes:
determining the circulation times and/or circulation time of the target digital assets according to the circulation records;
and performing discount calculation on the initial price according to the circulation times and/or the circulation time to obtain the circulation price, so that the circulation price and/or the circulation time are correspondingly reduced along with the increase of the circulation times.
Optionally, the formula of the discount calculation is:
in the formula, Pz is a circulation price, γ is a preset circulation time influence factor, δ is a preset circulation number influence factor, t is circulation time, u is a circulation number, and m and θ are preset constants.
Optionally, the step of recording the target digital asset transaction flow information by the blockchain comprises:
acquiring transaction circulation information of a target digital asset;
setting open authority according to the type of the transaction circulation information, and carrying out authority signature;
issuing the signed transaction flow information for the block chain to carry out consensus;
after the consensus is achieved, a block containing transaction flow information is generated.
Optionally, the target digital asset comprises one or more of a digital voucher of the physical good, a rights voucher of the physical asset, and administrative management data.
In particular, according to another aspect of the present invention, there is also provided a computer-readable storage medium having stored thereon a machine-executable program which, when executed by a processor, implements the data processing method of the digital asset of any of the above.
The data processing method of the digital assets of the invention utilizes the Bayesian Nash equilibrium formula to combine the reference price and the cost price to calculate and obtain the initial price, the initial price is generated by combining two price factors, the pricing mode is more flexible and comprehensive, and the maximization of the digital assets price in a reasonable range is realized on the basis of ensuring the cost. The circulation price is corrected by utilizing the initial price through the circulation record, and the transaction circulation characteristic of the digital assets is met, so that the circulation price can better promote the transaction of the digital assets, and the transaction requirements of both the buyer and the seller are met.
Furthermore, the data processing method of the digital asset of the invention records the used circulation record by the block chain network, fully utilizes the traceable and non-falsifiable characteristic of the block chain and ensures the reliability of the information. The recording and the right confirming of the digital assets are realized through the block chain technology, and the transaction safety of the digital assets is improved.
Furthermore, the data processing method of the digital assets of the invention brings the factors of the circulation times, the circulation time and the like into an evaluation system of circulation prices aiming at the characteristic that the digital assets are changed by the transaction times and the transaction time, forms a pricing mode which accords with the characteristics of the digital assets, meets the requirements of the legality, the relevance, the rationality and the stability of the pricing, and is beneficial to promoting the health and the stable circulation of the digital assets.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a schematic diagram of a data processing method for a digital asset according to one embodiment of the invention;
FIG. 2 is a trend graph of the impact of transaction times on pricing of digital assets; and
FIG. 3 is a schematic block diagram of a machine-readable storage medium according to one embodiment of the present invention.
Detailed Description
Fig. 1 is a schematic diagram of a data processing method of a digital asset according to one embodiment of the present invention. The data processing method of the digital asset may generally include:
step S102, acquiring a reference price and a cost price of a target digital asset;
step S104, inputting the reference price and the cost price into a preset Bayesian Nash equilibrium formula, and calculating to obtain an initial price;
step S106, obtaining the circulation record of the target digital assets from the block chain network;
step S108, correcting the initial price according to the circulation record to obtain a circulation price;
step S110, the circulation price is issued, and the circulation information of the target digital asset transaction is recorded by the block chain.
In the steps, the initial price is calculated by utilizing a Bayesian Nash equilibrium formula in combination with the reference price and the cost price, the initial price is generated by combining two price factors, the pricing mode is more flexible and comprehensive, and the maximization of the digital asset price in a reasonable range is realized on the basis of ensuring the cost. The finally obtained circulation price is corrected through circulation records by utilizing the initial price, and the transaction circulation characteristics of the digital assets are met, so that the circulation price can better promote the transaction of the digital assets, and the transaction requirements of buyers and sellers are met.
The reference price in step S102 may be determined by the related reference assets, for example, the same or similar digital assets as the target digital assets may be selected as sample assets, and the prices of the sample assets are used as references to form the reference price. The sample asset may be selected taking into account several factors: type of asset, size of asset, record of deals, asset revenue, asset owner, etc.
An alternative way to obtain the reference price is: acquiring a transaction record of the digital asset from the blockchain network; inquiring assets with the similarity exceeding a set threshold value with the target digital assets from the transaction records as sample assets; obtaining the price of the sample asset; and calculating the reference price according to the price of the sample asset. Because the blockchain has natural advantages for digital assets, a selection algorithm for selecting the sample assets from the transaction records acquired from the blockchain is to query the transaction records for assets whose similarity to the target digital asset exceeds a set threshold, wherein the reference factors of the similarity include one or more of the type of the assets, the size of the assets, the transaction records, the benefits of the assets and the owners of the assets. Due to the algorithm of the approximation calculation itself, for example: cosine similarity (cosine _ similarity), jaccard similarity, edit distance (Levenshtein), MinHash, SimHash hamming distance, etc. are well known to those skilled in the art and will not be described herein.
An alternative embodiment way to determine the reference price is: and acquiring similar digital assets with the quantity S as sample assets, and calculating a reference price according to prices zi of the sample assets.
An alternative way to calculate the reference price from the price of the sample asset is to: the price average or median of the sample assets is calculated as the reference price. I.e., by calculating a price average or median value for the sample assets.
The formula for calculating the reference price is shown in formula (1):
in equation (1), Pv1 is the reference price, S is the number of sample assets, i ∈ [1, S ], zi is the price of the sample asset corresponding to the serial number i.
The average value may be a geometric average (calculation of square after multiplication) or a weighted average (calculation of weight addition by giving different weights to different samples) in addition to the arithmetic average value (addition and average).
An alternative way to calculate the reference price from the price of the sample asset is to: and predicting the prices of the sample assets by using a preset prediction algorithm according to the transaction time sequence of the samples, wherein the obtained predicted prices serve as reference prices. Optional prediction methods may include: moving average, exponential smoothing, linear regression, etc.
The moving average method uses a set of recent actual data values to predict the cost price for future transactions for one or more periods. According to the time series data and item-by-item transition, the time-sequence average value containing a certain number of items is calculated in sequence to reflect the follow-up trend, so that the influence of periodic variation and random fluctuation of the price is eliminated to a certain extent.
The exponential smoothing method is a time series analysis prediction method developed on the basis of a moving average method, and predicts the future of a phenomenon by calculating an exponential smoothing value and matching with a certain time series prediction model. The principle is that the exponential smoothing value of any period is the weighted average of the actual observed value of the period and the exponential smoothing value of the previous period.
Linear regression is a predictive method that analyzes the linear relationship between dependent variables and independent variables.
The reference price can be calculated using the prices of the sample assets efficiently using the averaging or forecasting algorithm described above.
The cost price is formed by adding reasonable profit to the cost of the target digital assets based on profit-loss balance analysis. The step of obtaining a cost price for the target digital asset may comprise: determining a standard rate of profit for the target digital asset; and multiplying the cost of the target digital asset by the profit standard rate to obtain the cost price. The pricing method of the cost price belongs to static pricing, and after the seller determines the profit criterion value r obtained by the data asset, the cost price of the data asset is Pr1 ═ Ptotal (1+ r), wherein Pr1 is the cost price, such as can be estimated through the maximum profit rmax and the minimum profit rmin, for example, r ═ rmax + rmin)/2.
The Bayesian Nash equalization formula used in step S104 may be formula (2)
In the formula (2), Pv2 is the initial price,
the weight coefficient is a preset weight coefficient, the value can be flexibly selected from 0-1, Pr1 is a cost price, and Pv1 is a reference price. By adjusting
The cost price and the weight of the reference price may be adjusted so that the initial price adjusts the importance of various influencing factors according to the type of digital asset.
In other embodiments, other bayesian nash equalization formulas may be selected to maximize the profit in the game of incomplete information. That is, in such incomplete information gambling, the expected utility of each participant is maximized given the probability distribution of itself and the other participant types.
Digital assets have the following main attributes: registering on a block chain account book, a distributed account book and other reliable network account books; the self exists in a digital bit structure and does not correspond to a real object; digital assets can be programmed, and the exchange among the assets is the exchange of codes and codes, but not the increase and decrease among the numbers; on a block chain, by compiling an intelligent contract program, the point-to-point transaction is completely mediated, autonomous and autonomous, and manual intervention is not needed; digital assets span the stage of asset securitization, directly reaching asset monetization. The above attributes make the digital assets have the price reduced correspondingly with the increase of the transaction times and the transaction time, which is an important characteristic different from the real assets and becomes an important reason for the pricing difficulty. The method of the embodiment further introduces influence factors of the circulation times (or called transaction times) and the circulation time (or called transaction time), so that the pricing is more consistent with the characteristics of the digital assets.
The step S108 of correcting the initial price according to the circulation record may include: determining the circulation times and/or circulation time of the target digital assets according to the circulation records; and performing discount calculation on the initial price according to the circulation times and/or the circulation time to obtain the circulation price, so that the circulation price and/or the circulation time are correspondingly reduced along with the increase of the circulation times.
One way of calculating the discount price is to count the number of times of circulation of the target digital asset through circulation records, and as the number of times of circulation increases each time, the price of the target digital asset decreases correspondingly.
Another way of calculating the discount is to determine the trade time of the target digital asset from the circulation record, so that the price of the target digital asset decreases correspondingly as the trade time increases.
One preferred way of calculating the discount is: calculating the discount price according to the formula (3)
In equation (3), Pz is the circulation price, Pv2 is the initial price, and γ is the preset circulation time influence factor, δ is the preset circulation number influence factor, t is the circulation time, u is the circulation number, and m and θ are preset constants, which can be calculated from equation (2). By adjusting gamma and delta, the influence of the circulation price and the circulation time on the circulation price can be respectively changed. The influence degree of the number of the circulation can be adjusted by m and theta. The setting factors and parameters of gamma, delta, m, and theta may be adjusted by those skilled in the art according to the distribution conditions of the digital assets.
The influence of the transaction times on the digital assets is mainly reflected in the characteristic that the digital assets can be copied infinitely. FIG. 2 is a trend graph of the impact of transaction counts on pricing of digital assets, where the abscissa is the transaction count and the ordinate is the magnitude of change (decrease) of a digital asset. The price of the digital assets is exponentially reduced and changed along with the transaction times, namely after the first transaction, the price of the digital assets is reduced fastest, the price of the digital assets is reduced gradually along with the increase of the transaction times until the price of the digital assets is finally kept unchanged, then the influence of the transaction times on pricing is initially increased fastest and then is gradually increased gradually and gradually, and finally the price of the digital assets is kept unchanged.
This example uses
The influence of the transaction times on the pricing is reflected, the change rule of the change rule accords with the characteristics that the rate is fastest along with the initial increase of the transaction times in an exponential form, and then the rate is gradually reduced until the rate is unchanged, so that the change of the digital assets along with the transaction times accords with the characteristic that the rate is unchanged
The process of recording the transaction circulation information of the target digital asset by the blockchain in step S110 may include: acquiring transaction circulation information of a target digital asset; setting open authority according to the type of the transaction circulation information, and carrying out authority signature; issuing the signed transaction flow information for the block chain to carry out consensus; and after the consensus is achieved, generating a block containing the transaction flow information.
The information of the target digital asset can set multiple rights, the owner of the information can have all management rights, and according to the importance degree and the rights and interests requirements of the information of the target digital asset, multiple levels of rights can be set, for example, the information of price and the like can be disclosed only in an allowable range.
The data processing method of the digital assets of the embodiment can be used for realizing various digital assets, such as digital certificates of physical commodities, rights and interests certificates of actual assets and management data. For example, for digital certificates of physical goods, digital certificates corresponding to products one by one can be generated by using trusted nodes in the manufacturing process of the products, the digital certificates are recorded on the products, and initial trusted data of the products are published on a block chain. As the product is circulated, the digital voucher may be added with subsequent circulation information. The circulation information is not limited to transaction, and can also include information generated in the processes of assembly, detection and warehousing in the production and manufacturing process, sales, transportation, purchase, after-sales, re-transaction and the like in the sales and transportation process.
For digital assets such as rights and interests certificates, management and management data and the like, automatic pricing can be carried out through the transaction strategy during transaction, and after the transaction is completed, transaction information is recorded on a block chain account book.
FIG. 3 is a schematic block diagram of a machine-readable storage medium 20 according to one embodiment of the present invention. The machine-readable storage medium 20 has stored thereon a machine-executable program 210, the machine-executable program 210 when executed by a processor implementing any of the above-described data processing methods for a digital asset.
The technical solution of the present invention, which is substantially or partly contributed by the prior art, may be embodied in a software product, where the computer software product is stored in a storage medium and includes several instructions to enable 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 readable storage medium 20 includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
Furthermore, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step may be decomposed and/or recombined. These decompositions and/or recombinations are to be regarded as equivalents of the present invention. Also, the steps of performing the series of processes described above may naturally be performed chronologically in the order described, but need not necessarily be performed chronologically, and some steps may be performed in parallel or independently of each other. It will be understood by those skilled in the art that all or any of the steps or elements of the method and apparatus of the present invention may be implemented in any computing device (including processors, storage media, etc.) or network of computing devices, in hardware, firmware, software, or any combination thereof, which can be implemented by those skilled in the art using their basic programming skills after reading the description of the present invention.
The object of the invention is thus also achieved by a program or a set of programs running on any computing device. The computing device may be a well-known general purpose device. The object of the invention is thus also achieved solely by providing a program product comprising program code for implementing the method or the apparatus. That is, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. It is to be understood that the storage medium may be any known storage medium or any storage medium developed in the future. It is also noted that in the apparatus and method of the present invention, it is apparent that each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present invention. Also, the steps of executing the series of processes described above may naturally be executed chronologically in the order described, but need not necessarily be executed chronologically. Some steps may be performed in parallel or independently of each other.
Computing devices provided with the readable storage medium 20 described above may be interconnected by a network, which may transfer data using any suitable interface or protocol, such as an internet small computer system interface or the like. The network may be a cellular network, a radio network, a Wide Area Network (WAN)), a Local Area Network (LAN), or the internet, among others, and thus may be connected to other computing devices through various networks.
The computing device may be, for example, a server, a desktop computer, a notebook computer, a tablet computer, or a smartphone. In some examples, the computing device may be a cloud computing node. The computing device may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computing devices may be implemented in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
The machine-readable storage medium 20 may be disposed on a blockchain network, and is used for managing the digital assets, pricing the digital assets, and promoting the transaction of the digital assets with better circulation price, thereby meeting the transaction requirements of the buyer and the seller and improving the transaction security of the digital assets.
The proposal of the invention can achieve a win-win state from the point of view of both buyers and sellers, can be more suitable for the characteristics of the digital assets and market changes, provides flexible adjustment space, can adjust the price constantly in the continuously changing supply and demand relationship to accord with the benefits of both buyers and sellers, and promotes the rapid circulation of the digital assets and the virtuous circle of the market.
From the above description, those skilled in the art can fully recognize that the data processing method of the digital asset of the present embodiment has the following advantages:
1. the initial price is calculated by combining the Bayesian Nash equilibrium formula with the reference price and the cost price, the initial price is generated by combining two price factors, the pricing mode is more flexible and comprehensive, and the maximization of the digital asset price in a reasonable range is realized on the basis of ensuring the cost.
2. The circulation price is corrected by utilizing the initial price through the circulation record, and the transaction circulation characteristic of the digital assets is met, so that the circulation price can better promote the transaction of the digital assets, and the transaction requirements of both the buyer and the seller are met.
3. The circulation record is recorded by the block chain network, so that the traceable and non-falsifiable characteristics of the block chain are fully utilized, and the reliability of the information is ensured. The recording and the right confirming of the digital assets are realized through the block chain technology, and the transaction safety of the digital assets is improved.
4. Aiming at the characteristic that the digital assets are changed by the transaction times and the transaction time, the factors such as the circulation times, the circulation time and the like are brought into an evaluation system of circulation price, a pricing mode which accords with the characteristics of the digital assets is formed, the requirements of pricing legality, relevance, rationality and stability are met, and the health and stable circulation of the digital assets are facilitated.
5. The calculation mode is flexible to adjust, the influence factors and the preset parameters can be adaptively adjusted according to actual requirements, and the requirements of different types of assets are met.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. A data processing method for a digital asset, comprising:
acquiring a reference price and a cost price of a target digital asset;
inputting the reference price and the cost price into a preset Bayesian Nash equilibrium formula, and calculating to obtain an initial price;
acquiring a circulation record of the target digital asset from a block chain network;
correcting the initial price according to the circulation record to obtain a circulation price;
and issuing the circulation price, and recording the circulation information of the target digital asset transaction by the block chain.
2. The data processing method of a digital asset as claimed in claim 1, wherein the step of obtaining a reference price of a target digital asset comprises:
obtaining a transaction record of a digital asset from the blockchain network;
querying the assets with the similarity exceeding a set threshold value with the target digital assets from the transaction records as sample assets;
obtaining a price of the sample asset;
and calculating the reference price according to the price of the sample asset.
3. The data processing method of a digital asset as claimed in claim 2, wherein said step of calculating said reference price from said prices of said sample assets comprises:
calculating a price mean or median of the sample assets as the reference price; or
And predicting the price of the sample asset by using a preset prediction algorithm according to the transaction time sequence of the sample, and taking the obtained predicted price as the reference price.
4. The data processing method of a digital asset as claimed in claim 1, wherein the step of obtaining a cost price of the target digital asset comprises:
determining a standard rate of profit for the target digital asset;
multiplying the profit criterion by the cost of the target digital asset to obtain the cost price.
5. The data processing method of a digital asset as claimed in claim 1, wherein,
the Bayesian Nash equilibrium formula is as follows:
in the formula, Pv2 is the initial price,
and Pr1 is the cost price and Pv1 is the reference price, which are preset weight coefficients.
6. The data processing method of a digital asset as claimed in claim 5, wherein the step of correcting the initial price according to the circulation record comprises:
determining the circulation times and/or circulation time of the target digital assets according to the circulation records;
and performing discount calculation on the initial price according to the circulation times and/or the circulation time to obtain the circulation price, so that the circulation price and/or the circulation time are/is correspondingly reduced along with the increase of the circulation times.
7. The data processing method of a digital asset as claimed in claim 6, wherein,
the formula of the discount calculation is as follows:
in the formula, Pz is the circulation price, γ is a preset circulation time influence factor, δ is a preset circulation number influence factor, t is the circulation time, u is the circulation number, and m and θ are preset constants.
8. The data processing method of a digital asset as claimed in claim 1, wherein the step of recording the target digital asset transaction flow information by the blockchain comprises:
acquiring transaction circulation information of the target digital asset;
setting public authority according to the type of the transaction transfer information, and performing authority signature;
issuing the signed transaction flow information for the block chain to perform consensus;
and after the consensus is achieved, generating a block containing the transaction flow information.
9. The data processing method of a digital asset as claimed in claim 1, wherein,
the target digital assets comprise one or more of digital certificates of physical commodities, rights and interests certificates of actual assets and management data.
10. A computer readable storage medium having stored thereon a machine executable program which when executed by a processor implements a data processing method for a digital asset according to any of claims 1 to 9.
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