CN114240521A - Digital asset processing method and system based on NFT - Google Patents
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Abstract
The invention relates to a digital asset processing method and a digital asset processing system based on NFT, wherein the processing method comprises the following steps: acquiring an original digital asset as a target object to be processed; performing a non-homogeneous token-based conversion on the subject matter; performing asset value evaluation on the object to generate a plurality of value evaluation reports; estimating the current market value of the subject using a plurality of the value assessment reports; continuously monitoring the market trading value of the same type of subject matter, periodically performing value compensation evaluation on the asset value of the subject matter, and updating the estimated market value; and carrying out future prediction on the value change trend of the target object. The owner or purchaser of the digital assets can use the processing method and system to judge the basic value of the digital assets, and the reasonable value of the digital assets can be converted.
Description
Technical Field
The present invention relates to the field of digital asset management of blockchains. In particular to a digital asset processing method and a digital asset processing system based on NFT.
Background
NFT (Non-resonant Token) is a "Non-homogeneous Token". The NFT has uniqueness, indivisible property and asset property, is a programmable digital rights and interests, and is characterized in that a specific asset registration mode of the NFT is utilized, based on decentralized and transparent characteristics of a block chain, data can be prevented from being tampered, creators and holders of assets can be reliably identified, and the holders of the assets can be ensured to have rights to operate the assets by combining with intelligent contracts. Currently mainstream NFTs are run and stored in many major blockchain commons in the world, maintained and protected by a large number of nodes on these commons, and no one can modify ownership records or copy/paste new NFTs.
NFT is first applied to collection, artwork and game scenes due to digital scarcity of NFT, and all transfer paths of virtual assets can be tracked in real time and whether the transaction is legal or not can be confirmed under the protection of NFT-based encryption technology. With the rapid development of NFT and blockchain related application technologies, and more native digital or physical asset digital assets are created or transferred to blockchains, a processing method and a processing system for developing related digital assets are needed; in addition, with the creation of a large number of digital assets, the evaluation of the value of the digital assets becomes a difficult problem, and if the evaluation process of reasonable value of the digital assets can be carried out by utilizing the characteristics of the NFT technology, the pricing and circulation of the digital assets are facilitated.
Referring to the related disclosed technical solutions, a technical solution disclosed in publication number WO2021158169 (a 1) proposes a method and system for managing digital assets, the method including receiving a digital asset from a user, making a credit confirmation of the asset and then depositing in a digital bank, and determining a second legal amount of the digital asset in the digital bank, so that the amount of the digital asset has meaning in two dimensions; the technical scheme of publication number US2021326326 (a 1) proposes an asset management traceability certification aggregation system based on blockchain and method thereof, issuing an intelligent contract corresponding to a target on a blockchain network through an establishing host for collecting a certification value of a digital file related to the target for certification and management; the technical scheme of the disclosure number TWM615797 (U) provides a digital asset trusting and custody system based on a block chain, and digital assets in a public chain are encrypted and moved to a private chain of a trusting unit, so that the digital assets are covered and managed. However, the current technical solutions do not provide a way to evaluate the value of the digital asset, and therefore both the supplier and the supplier of the digital asset also need related solutions to make a reasonable judgment on the value of the digital asset.
Disclosure of Invention
The invention aims to provide a digital asset processing method and a digital asset processing system based on NFT, which are used for evaluating the asset value of a digital asset, ensure the comparability, the consistency and the high transparency of an evaluation data source by depending on the characteristics of the NFT technology,
the invention adopts the following technical scheme:
a method of NFT-based digital asset processing, the method of processing comprising:
s1: acquiring an original digital asset as a target object to be processed;
s2: performing a non-homogeneous token-based conversion on the subject matter;
s3: performing asset value evaluation on the object to generate a plurality of value evaluation reports;
s4: estimating the current market value of the subject using a plurality of the value assessment reports;
s5: continuously monitoring the market trading value of the same type of subject matter, periodically performing value compensation evaluation on the asset value of the subject matter, and updating the estimated market value;
s6: predicting the value change trend of the object in the future;
wherein, the asset value evaluation of the subject matter comprises the following steps of adopting an objectivity statistic and estimation mode:
accessing a plurality of NFT transaction platforms; collecting the published NFT work catalogue and information; extracting a plurality of characteristic values of the target object by adopting a deep learning method, and generating a screening model for screening NFT digital assets with high relevance to the target object; screening NFT digital assets with high relevance to the target from an NFT trading platform; generating a value evaluation model for the digital assets according to the relationship between the plurality of characteristic values and the market price;
and evaluating the asset value of the subject matter, wherein the evaluation comprises the following steps of adopting a subjective statistic and estimation mode:
scoring the subject matter in multiple dimensions by an evaluator of the digital asset; modifying the degree of fit of the ratings of the evaluators to the real deal price based on the real deal price of the digital asset, thereby modifying the rating weight of each of the evaluators;
performing asset value evaluation on the object, wherein the asset value evaluation comprises responding to market feedback of the digital asset after the digital asset is put into a public trading market, and obtaining a price convergence interval of the object based on bidding, polling and price limiting;
the manner of acquiring the digital assets includes actively submitting the digital assets by digital asset owners; including submitting, by a principal, a plurality of delegated processes of the digital asset;
performing a non-homogeneous token based conversion on the subject matter, comprising:
s201: inputting digital assets, and generating a unique and symbolic serial number;
s202: chaining the digital assets and the serial numbers thereof, and carrying out certification treatment;
s203: allowing the digital assets to be displayed and traded on shelf;
performing asset value evaluation on the object based on a plurality of methods, including calculating weight ratios of the plurality of valuation methods to reflect the degree of influence of each valuation method on the valuation amount;
performing future prediction on the change trend of the price value of the object, wherein the future prediction comprises evaluating the value rising or falling trend of the object in a future time period by using a time series-based prediction model;
the invention also includes a digital asset processing system based on NFT; the processing system comprises:
an input module for inputting information of a digital asset to the processing system;
the conversion module is used for converting the digital assets into the target objects to be processed by the non-homogeneous token;
the evaluation module is used for estimating the value of the target object;
the compensation module is used for monitoring the transaction condition of the transaction price of the NFT open transaction market and performing compensation correction on the valuation of the subject matter;
and the prediction module is used for predicting the value change trend of the target object by using the time series prediction module.
The beneficial effects obtained by the invention are as follows:
1. the invention ensures the uniqueness and uniqueness of the digital assets by using the NFT technology, and is beneficial to keeping the value stability of the digital assets and the original asset data from being tampered;
2. the processing method of the invention combines a plurality of asset value evaluation modes, and can carry out value evaluation of a plurality of dimensions on the current disordered and chaotic digital asset market, especially on the digital assets of virtual creation type;
3. the processing method can provide future transaction prejudgment basis for the supply and demand parties of the digital assets by combining the value change trend of the digital assets, and provides guidance information for the supply and demand parties to process the digital assets;
4. the software and hardware layout requirements of the invention are based on modular design, and the invention can be conveniently switched and upgraded in the technical updating and modifying stage, thereby being beneficial to the optimization and upgrading of the technical scheme in the future.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
FIG. 1 is a schematic flow chart of the treatment method of the present invention;
FIG. 2 is a schematic diagram of the NFT conversion of digital assets in accordance with the present invention;
FIG. 3 is a schematic diagram of the present invention's value assessment process for NFT-based digital assets;
FIG. 4 is a schematic diagram of NFT digital asset screening at an NFT distribution and transaction platform;
FIG. 5 is a schematic diagram of value trend prediction of NFT-based digital assets by the processing system of the present invention.
Description of the figure numbering: 101-an input module; 102-a conversion module; 103-an evaluation module; 104-a compensation module; 105-a prediction module; 301-historical data; 302-prediction data.
Detailed Description
In order to make the technical solution and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the embodiments thereof; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description that follows.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it is to be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not intended to indicate or imply that the device or assembly referred to must have a specific orientation.
The first embodiment is as follows:
referring to fig. 1, a method for NFT-based digital asset processing includes:
s1: acquiring an original digital asset as a target object to be processed;
s2: performing a non-homogeneous token-based conversion on the subject matter;
s3: performing asset value evaluation on the object to generate a plurality of value evaluation reports;
s4: estimating the current market value of the subject using a plurality of the value assessment reports;
s5: continuously monitoring the market trading value of the same type of subject matter, periodically performing value compensation evaluation on the asset value of the subject matter, and updating the estimated market value;
s6: predicting the value change trend of the object in the future;
wherein, the asset value evaluation of the subject matter comprises the following steps of adopting an objectivity statistic and estimation mode:
accessing a plurality of NFT transaction platforms; collecting the published NFT work catalogue and information; extracting a plurality of characteristic values of the target object by adopting a deep learning method, and generating a screening model for screening NFT digital assets with high relevance to the target object; screening NFT digital assets with high relevance to the target from an NFT trading platform; generating a value evaluation model for the digital assets according to the relationship between the plurality of characteristic values and the market price;
and evaluating the asset value of the subject matter, wherein the evaluation comprises the following steps of adopting a subjective statistic and estimation mode:
scoring the subject matter in multiple dimensions by an evaluator of the digital asset; modifying the degree of fit of the ratings of the evaluators to the real deal price based on the real deal price of the digital asset, thereby modifying the rating weight of each of the evaluators;
performing asset value evaluation on the object, wherein the asset value evaluation comprises responding to market feedback of the digital asset after the digital asset is put into a public trading market, and obtaining a price convergence interval of the object based on bidding, polling and price limiting;
the manner of acquiring the digital assets includes actively submitting the digital assets by digital asset owners; including submitting, by a principal, a plurality of delegated processes of the digital asset;
performing a non-homogeneous token based conversion on the subject matter, comprising:
s201: inputting digital assets, and generating a unique and symbolic serial number;
s202: chaining the digital assets and the serial numbers thereof, and carrying out certification treatment;
s203: allowing the digital assets to be displayed and traded on shelf;
performing asset value evaluation on the object based on a plurality of methods, including calculating weight ratios of the plurality of valuation methods to reflect the degree of influence of each valuation method on the valuation amount;
performing future prediction on the change trend of the price value of the object, wherein the future prediction comprises evaluating the value rising or falling trend of the object in a future time period by using a time series-based prediction model;
an NFT-based digital asset processing system, comprising:
referring to fig. 2, an input module 101 for inputting information of a digital asset to the processing system;
a conversion module 102, configured to convert a digital asset into a non-homogeneous token, so as to become the target object to be processed;
referring to fig. 3, an evaluation module 103 for evaluating the value of the subject matter;
a compensation module 104, configured to monitor a transaction price transaction condition of the NFT publicly traded market, and perform compensation and correction on the evaluation value of the subject matter;
the prediction module 105 is used for predicting the value change trend of the target object by using the time series prediction module;
in step S1, the digital asset includes two aspects:
first, the original asset exists in the form of electronic data, such as pictures, music, game items, e-books, etc.; the part of the assets can be directly uploaded to the processing system because the part of the assets are electronic data types per se;
secondly, the original assets are in physical form, such as clothes, ornaments, solid paintings, etc.; the assets are required to be digitalized, the assets are digitalized and identified by a related qualified authentication platform, sufficient asset information and ownership information are provided by the owner of the assets, the information is quantized and converted into data, and the assets also have various attributes in offline circulation in a network space, such as ownership characteristics, circulation and the like;
therefore, the native asset type of the digital asset is not specified herein, and the native asset type may be the digital asset or the digital asset obtained by digitizing the physical asset;
further, the processing system includes providing an API (external application program interface) to interface with a user over a network; the user uploads the digital assets to the processing system and needs to agree with the processing system to perform substitute processing authorization on the digital assets, wherein the substitute processing authorization comprises reading and storing the digital assets to obtain complete demonstrative information of the digital assets, so that the value evaluation of the digital assets is based on sufficient basis, and inaccurate evaluation caused by one-sided knowledge and information loss of the digital assets is avoided;
further, generating an event number for the uploaded digital assets, and performing conversion based on the non-homogeneous token on the digital assets which are subjected to the generation processing authorization as the target objects; in S201, a unique symbolic Serial number Serial needs to be generated, which may be understood as that the digital information I of the subject matter is calculated and returned to the Serial number Serial through a processing function G, that is:
Serial=G(I)；
the processing function g (i), which may preferably be a hash function or other hash processing function; the processing function G is required to generate unique output values for different inputs of the digital information I; therefore, the returned serial number is also unique and uniquely represents the object;
further, in step S202, the winding operation is performed on the object, specifically including: selecting a block chain public chain as a bearing platform of the object, wherein the larger public chain can only represent sufficient consensus and consistency, so that the asset value evaluation and subsequent circulation of the object are facilitated, and the selectable public chain comprises public chains of global layouts such as Ethereum, Polygon and Flow;
concurrently, including developing smart contracts on public chains based on the subject matter; the developed intelligent contract needs to follow at least several basic regulations, for example, the serial number of the object can be guaranteed to have absolute uniqueness, or the identity information of the node connected to the public chain can be verified by the public chain and a public chain consensus mechanism, or the public chain block chain ledger can guarantee enough defense capability, and the like;
furthermore, an intelligent contract is deployed on the chain to become decentralized application, and then the intelligent contract is called in a transaction lifting mode, and relevant information of the subject matter, such as the serial number and the like, is stored on the public chain;
further, in step S203, allowing the external node to obtain the execution right of the intelligent contract through the serial number, so as to read the NFT data of the subject matter, thereby restoring the original data of the digital asset; however, for NFT data stored on a blockchain or raw data which is understood more deeply as a digital asset, anyone cannot tamper with the content of the NFT data, so that the ownership information of the digital asset or the internal asset information is highly secure;
upon completion of the NFT conversion of the digital asset into the subject matter to be processed, performing further analysis of the subject matter using the evaluation module; the method comprises an objectivity evaluation method for the target object, and comprises the following specific steps:
1. collecting published NFT digital assets and selling price information from a current known NFT making and publishing platform; optional platforms are as follows: opensea, Rarible, ODIn NFT, SuperRare, etc.;
2. performing depth analysis on the characteristic values of the target object on a plurality of first characteristic dimensions by using a neural network; the first characteristic dimension comprises analyzing the main body of the picture to be a human figure, a landscape or a building based on the picture theme; based on styles such as pixel style, canvas style, sketch style; author-based styles; based on the creative idea and the like, obtaining a classification model F;
3. screening NFT digital assets which are highly related to the target object by using the classification model F;
4. as shown in fig. 4, the public information of the NFT digital assets with higher correlation to the target object, such as selling price, goodness of rating, artistic rating, etc., is counted, the newly added statistical information is taken as a second feature dimension, and the feature value of the second feature dimension is counted;
5. a plurality of feature values p based on the first feature dimension and the second special dimension1、p2……pnInputting the deep learning neural network for learning, and obtaining a calculation model about the theoretical value P again, namely:
6. inputting numerical values of a plurality of characteristic dimensions of the object into the calculation model so as to obtain a theoretical value P of the object;
according to the calculation method, the NFT digital assets with high correlation with the target object are screened through the calculation model F, so that the influence of price factors of the other NFT digital assets with low correlation with the target object can be ignored, and asset value evaluation on the target object is facilitated;
further, in view of the fact that the work of art has a great deal of subjectivity in evaluation and consideration of human factors, the processing system comprises a plurality of professional evaluators in the related field to subjectively score the subject matter, so that a plurality of evaluator scores are obtained and ranked from high to low as S1、S2……Sn(ii) a Excluding the highest score and the lowest score of the plurality of scores, the remaining score array is S = { S = { (S) }2、S3……Sn-1}; calculating the average value of the array S to obtain the subject matterScore SaNamely:
further, the subject matter is disclosed on the NFT platform, and common public can perform indiscriminate pricing by setting modes such as open voting, bidding and the like, so that a plurality of public values q are obtained1、q2……qn(ii) a Sorting the public values from high to low according to numerical values to obtain a numerical sequence Q, excluding the highest 20% numerical values and the lowest 20% parts in the numerical sequence Q, and calculating the median of the rest 60% parts to obtain the median Q of the public valuesmid；
Further, the method is based on the three statistics, i.e. the theoretical value P, the subjective score S and the median Q of the public valuemidCalculated by the following formula:
wherein k is1A weight coefficient for the theoretical value P obtained by theoretical calculation; k is a radical of2For said median public value Q obtained by subjective statisticsmidThe weight coefficient of (a);
an average total score among a plurality of homogeneous NFT digital assets; k is a radical of3Correcting the coefficient by scoring weight; through the calculation mode, the asset value A which is evaluated in multiple aspects is obtained comprehensively, and the reference value based on the trading market is provided for the owner or trader of the digital asset;
further, the above steps S3 to S6 are performed periodically, automatically by the processing system or manually by the user, and asset value assessment updating of the digital assets is achieved.
Example two:
this embodiment should be understood to include at least all of the features of any of the foregoing embodiments and further modifications thereon;
because the NFT publishing platform and the trading market, including the NFT digital asset creation technology, are still in the primary stage of development, and the digital assets themselves have flexible pricing space, the stable market positioning and the consistent valuation standard of consensus can be achieved only after the statistical development of a certain time, therefore, for both the supply and demand sides of the digital assets, a pair of prejudgments on the value trend of the digital assets are expected to be made; therefore, the present embodiment includes further trend prediction of the estimation of the subject matter;
the trend prediction method preferably adopts a Prophet prediction model and carries out trend prediction calculation through a Python programming language; wherein the Prophet predictive model algorithm function can be expressed as:
wherein g (t) represents a trend term used for fitting non-periodic changes such as piecewise linear changes or logic growth in a time series; h (t) indicates a period term indicating a change in the predicted value in the period; i (t) is a discrete term, which refers to a discrete value of a predicted value under an irregular period; deltatA residue term for reflecting an error not reflected in the prediction calculation;
for the trend term g (t):
the formula 2-2 is based on a nonlinear growth model, and is more suitable for calculation similar to NFT digital asset value and not obviously based on linear change of a time sequence, wherein t is a time parameter, C is a maximum asymptotic value of an asset valuation curve of a target to be predicted, omega is a growth rate, and b is a correction value;
further, the maximum asymptotic value C, which represents the maximum asymptotic value that NFT digital assets may reach over time, may be calculated based on the evaluation of a professional evaluator; the growth rate ω, the correction amount b, can be constructed as a function of time t, i.e.:
the above formulas 2-2, 2-3 and 2-4 can all be obtained by inputting the estimation historical statistical data of the object into a model for fitting calculation; the maximum asymptotic value C needs to be input by a user in a self-defined way;
wherein for the periodic term h (t), the periodicity of the time series can be modeled using a fourier series of the form:
where P is a time-series period, P =365 can be expressed as a year period, and P =7 can be expressed as a week period; n represents the number of such cycles used in the model, and a larger value of N can fit a more complex periodic function, but also easily over-fit the model, typically N =10 for P = 365; for P =7, N = 3; parameter [ a0，b0]Can be obtained by setting fixed N and P values, calculating by a program, and then obtaining [ an，bn]；
For the discrete item i (t), the discrete value which is possibly generated can be calculated by the related computer personnel through manually inputting the special event date which has obvious influence on the NFT digital asset valuation by historical data and the date when the same special event is about to occur in the future;
based on the formula, the overall asset valuation value of the object is obtained by fitting three sub-model values influenced by the trend, the periodic variation and the special event, so that the owner or trader of the object is guided to carry out proper trading operation; as shown in fig. 5, a prediction is made of a value trend 302 for a future time by fitting to historical data 301.
Example three:
this embodiment should be understood to include at least all of the features of any of the foregoing embodiments and further modifications thereon;
further, as can be seen from the above statement, a plurality of said scores S are given to said subject by m said evaluatorsa1、Sa2……SanThe method comprises the steps of setting each evaluator to score S for eliminating the influence of subjectivity and professional direction of the evaluator, wherein a large number of personal subjective factors are involved, the influence of subjective evaluation factors of partial NFT digital assets is large, and the situation that the professional degree of partial evaluators is insufficient is possible at the same timeaThe personal weight value u of (1), i.e., the modified equation 1-2, is:
and calculating the personal weight value u, wherein the personal weight value u given to each evaluator is continuously corrected by counting the scores of each evaluator on a plurality of NFT digital assets in the past and the accuracy and the correlation degree of the final transaction price of the NFT digital assets, so as to represent the qualification capability of the evaluator, and the score orientation of each evaluator in the subjective score part is dynamically corrected, so that the reliability of an evaluation system is provided.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, substitute, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different than that described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, as different aspects and elements of the configurations may be combined in a similar manner. Further, elements therein may be updated as technology evolves, i.e., many elements are examples and do not limit the scope of the disclosure or claims.
Specific details are given in the description to provide a thorough understanding of the exemplary configurations including implementations. However, configurations may be practiced without these specific details, for example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the configurations. This description provides example configurations only, and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
In conclusion, it is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that these examples are illustrative only and are not intended to limit the scope of the invention. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (8)
1. An NFT-based digital asset processing method, the processing method comprising:
s1: acquiring an original digital asset as a target object to be processed;
s2: performing a non-homogeneous token-based conversion on the subject matter;
s3: performing asset value evaluation on the object to generate a plurality of value evaluation reports;
s4: estimating the current market value of the subject using a plurality of the value assessment reports;
s5: continuously monitoring the market trading value of the same type of subject matter, periodically performing value compensation evaluation on the asset value of the subject matter, and updating the estimated market value;
s6: predicting the value change trend of the object in the future;
wherein, the asset value evaluation of the subject matter comprises the following steps of adopting an objectivity statistic and estimation mode:
accessing a plurality of NFT transaction platforms; collecting the published NFT work catalogue and information; extracting a plurality of characteristic values of the target object by adopting a deep learning method, and generating a screening model for screening NFT digital assets with high relevance to the target object; screening NFT digital assets with high relevance to the target from an NFT trading platform; generating a value evaluation model for the digital assets according to the relationship between the plurality of characteristic values and the market price;
and evaluating the asset value of the subject matter, wherein the evaluation comprises the following steps of adopting a subjective statistic and estimation mode:
scoring the subject matter in multiple dimensions by an evaluator of the digital asset; modifying the degree of fit of the ratings of the evaluators to the real deal price based on the real deal price of the digital asset, thereby modifying the rating weight of each of the evaluators;
and performing asset value evaluation on the object, wherein the asset value evaluation comprises responding to market feedback of the digital asset after the digital asset is released in the open trading market, and the method comprises the step of obtaining a price convergence interval of the object based on bidding, polling and price limiting.
2. The NFT-based digital asset processing method according to claim 1, wherein the means for acquiring the digital asset comprises actively submitting the digital asset by a digital asset owner; including submitting, by a principal, a plurality of delegated processes of the digital asset.
3. The NFT-based digital asset processing method of claim 1, wherein transforming the subject matter based on non-homogeneous tokens comprises:
s201: inputting digital assets, and generating a unique and symbolic serial number;
s202: chaining the digital assets and the serial numbers thereof, and carrying out certification treatment;
s203: and carrying out shelf display and transaction on the digital assets.
4. The NFT-based digital asset processing method of claim 1, wherein the asset value of the subject matter is evaluated based on a plurality of methods, including calculating a weight ratio of the plurality of valuation methods to reflect the degree of influence of each valuation method on the valuation amount.
5. The NFT-based digital asset processing method according to claim 1, wherein predicting the future trend of the price value of the object comprises using a time series prediction model to evaluate the trend of the price value of the object going up or down in a future time period.
6. An NFT-based digital asset processing system, the processing system comprising:
an input module for inputting information of a digital asset to the processing system;
the conversion module is used for carrying out heterogeneous token conversion on the digital assets to convert the digital assets into the target objects to be processed;
the evaluation module is used for estimating the value of the target object;
the compensation module is used for monitoring the transaction condition of the transaction price of the NFT open transaction market and performing compensation correction on the valuation of the subject matter;
and the prediction module is used for predicting the value change trend of the target object by using the time series prediction module.
7. An electronic device adapted for use with the NFT-based digital asset processing system, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the processing method according to any one of claims 1 to 5.
8. A readable storage medium adapted for use in the NFT-based digital asset processing system, wherein the readable storage medium comprises a control method and a data processing program for the NFT-based digital asset processing system, and wherein when the control method and the data processing program for use in the NFT-based digital asset processing system are executed by a processor, the steps of the processing method according to any one of claims 1 to 5 are implemented.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| TWI814446B (en) * | 2022-06-15 | 2023-09-01 | 孟令士 | An intellectual property right and digital asset trust inheritance, maintenance, and operation system and operation method thereof |
| CN116720898A (en) * | 2023-06-14 | 2023-09-08 | 酷扣原创香港有限公司 | Asset transaction management system and method based on blockchain |
-
2022
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Non-Patent Citations (1)
| Title |
|---|
| 秦蕊等: "《NFT:基于区块链的非同质化通证及其应用》", 《智能科学与技术学报》, vol. 3, no. 2, 15 June 2021 (2021-06-15), pages 234 - 242 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI814446B (en) * | 2022-06-15 | 2023-09-01 | 孟令士 | An intellectual property right and digital asset trust inheritance, maintenance, and operation system and operation method thereof |
| CN116720898A (en) * | 2023-06-14 | 2023-09-08 | 酷扣原创香港有限公司 | Asset transaction management system and method based on blockchain |
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