CN111260468A - Block chain based data operation method and related equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a data operation method based on a block chain, related equipment and a storage medium, wherein the method comprises the following steps: acquiring data assets of a block chain, and performing feature extraction on the data assets to obtain feature information of the data assets; inputting the data assets into an evaluation model for calculation to obtain a calculation result; calculating to obtain an initial weight value of the data asset according to the calculation result and the characteristic information; and collecting transaction information of the data assets, obtaining dynamic weight according to the transaction information, and setting an operation strategy of the data assets according to the dynamic weight and the initial weight. The technical scheme provided by the application has the advantage of high user experience.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a data operation method based on a block chain, a related device, and a storage medium.
Background
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. Specifically, the method is to cryptographically concatenate and protect the concatenated text records (also called blocks) of the content, each block includes the encrypted hash of the previous block, the corresponding timestamp and the transaction data, so that the block content has the characteristic of being difficult to tamper. The distributed account book concatenated by the block chain technology can effectively record the transaction and can permanently check the transaction.
The data operation of the existing block chain is based on a forced pushing mode, and the data operation mode has low efficiency and influences the user experience.
Disclosure of Invention
The application provides a data operation method based on a block chain, related equipment and a storage medium.
A first aspect of the present application provides a data operation method based on a block chain, where the method includes:
acquiring data assets of a block chain, and performing feature extraction on the data assets to obtain feature information of the data assets;
inputting the data assets into an evaluation model for calculation to obtain a calculation result; calculating to obtain an initial weight value of the data asset according to the calculation result and the characteristic information;
and collecting the transaction information of the data assets, obtaining dynamic weights according to the transaction information, and setting the operation strategy of the data assets according to the dynamic weights and the initial weights.
A second aspect of the present application provides a device for data manipulation based on a blockchain, the device comprising:
the acquisition unit is used for acquiring data assets of the block chain;
the processing unit is used for performing feature extraction on the data assets to obtain feature information of the data assets; inputting the data assets into an evaluation model for calculation to obtain a calculation result; calculating to obtain an initial weight value of the data asset according to the calculation result and the characteristic information;
a collecting unit for collecting transaction information of the data assets;
the processing unit is further configured to obtain a dynamic weight according to the transaction information, and set an operation policy of the data asset according to the dynamic weight and the initial weight.
In a third aspect, there is provided a terminal comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method provided in the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method provided in the first aspect.
Drawings
Reference will now be made in brief to the drawings that are needed in describing embodiments or prior art.
Fig. 1 is a schematic architecture diagram of a data operating system according to an embodiment of the present application.
Fig. 2 is a flowchart of a data operation method based on a block chain according to an embodiment of the present disclosure.
Fig. 2a is a schematic diagram of a blue book cycle provided in the embodiment of the present application.
Fig. 2b is a schematic diagram of a collection chart according to an embodiment of the present application.
Fig. 3 is a flowchart of another data manipulation method based on a blockchain according to an embodiment of the present disclosure.
Fig. 4 is a flowchart of a blockchain-based excitation method according to an embodiment of the present disclosure.
Fig. 5 is a flowchart of another block chain-based data operation method according to an embodiment of the present application
Fig. 6 is a schematic structural diagram of a data operation apparatus based on a block chain according to an embodiment of the present application.
Fig. 7 is a schematic structural diagram of a blockchain node according to an embodiment of the present application.
Fig. 8 is a schematic structural diagram of a communication device according to an embodiment of the present application.
Fig. 9 is a schematic structural diagram of another communication device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Referring to fig. 1, fig. 1 is a schematic diagram of a data operating system, the data sharing 1100 may include a blockchain network 1101, and the blockchain network 1101 may include: a weighted excitation system 1102, the weighted excitation system comprising: a data asset quality assessment module 1104 and a participant weight operation module 1103. The data asset quality evaluation module can be divided into two sub-modules, and the initial weight can be calculated through a model according to various dimensions such as historical weight, data historical value and weight, data use times/duration, user evaluation information, industry attributes, resource consumption and the like of a data participation main body recorded on a block chain; and dynamically adjusting the weight to adjust the quality score of the data assets according to the value conversion of the data in the real service scene, wherein the quality score is used for pricing and trading of the data and the weight rating of a final participating subject, and the process and the result of the data quality score are recorded on a block chain. The weight distribution module distributes the quality evaluation of the data to each role of the data participation subject according to the quality score of the data and a data weight determination mechanism; the incentive mechanism incentivizes the participating agents according to the weight rating of each participating agent, including but not limited to the opening and recovery of authority, the increase and reduction of data exposure, the change of data transaction discount, and the like; the weight exchange module provides a weight value exchange function, and in an actual business scene, besides the direct interest value distributed to each participating subject, more rights or additional values can be exchanged through weight exchange, such as data rights of data purchase coupons, data application green channels, data transaction matching services and the like, more online and offline entity exchanges and the like. And the whole weight operation process and result are recorded on the block chain, so that the weight operation is real, credible and effective.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. The Blockchain (Blockchain) is an important concept of the bitcoin, which is essentially a decentralized database, and is used as the underlying technology of the bitcoin, and is a series of data blocks which are generated by using a cryptographic method to be related, wherein each data block contains information of a batch of bitcoin network transactions, and the information is used for verifying the validity (anti-counterfeiting) of the information and generating the next block.
Data uploading of a block chain, commonly referred to as uplink, is actually a way to operate local data, i.e. local data is shared to other devices through the block chain, and in order to avoid explosion of shared data, the data uplink of the block chain needs to be consumed, for example, the data uplink of a common block chain needs to consume a certain number of bitcoins. However, after the data of the blockchain is uplinked, there is no related management on the data, so that the value of the data on the blockchain cannot be evaluated, and the garbage data and the key data enjoyment on the blockchain are also equivalent schemes.
Referring to fig. 2, fig. 2 provides a data operation method based on a block chain, where the method is performed by a node of the block chain, where the node may be a terminal, a data center, or other device, and the terminal is a device with a wireless transceiving function and may be deployed on land, including indoors or outdoors, handheld, wearable, or vehicle-mounted; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, balloons, satellites, etc.). The terminal may be a mobile phone (mobile phone), a tablet computer (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a vehicle-mounted terminal device, a wireless terminal in self driving (self driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), a wearable terminal device, and so on. The embodiments of the present application do not limit the application scenarios. A terminal may also be referred to as a terminal equipment station, mobile station, remote terminal equipment, mobile device, UE terminal equipment, wireless communication device, UE agent, User Equipment (UE), access terminal equipment, vehicle mounted terminal, industrial control terminal, UE unit, UE station, mobile or UE device, and so forth. The terminals may also be fixed or mobile. The method, as shown in fig. 2, includes the following steps:
step S201, a data asset of a block chain is obtained by a block chain link point, and feature extraction is performed on the data asset to obtain feature information of the data asset.
Such data assets include, but are not limited to, data in the form of pictures, video, audio, text, and the like. The characteristic information includes one or more of the following: historical weight of data participation subjects, historical value of the data participation subjects, number of times or duration of data use, user evaluation information, industry attribute and resource consumption.
Step S202, inputting the data assets into an evaluation model by a block link node for calculation to obtain a calculation result; and calculating the initial weight value of the data asset by the block link points according to the calculation result and the characteristic information.
The evaluation model may be a neural network model, but in practical applications, the evaluation model may also be other types of models, such as a recurrent neural network model, a deep neural network model, and so on. Specifically, the evaluation model may be a logistic regression model.
The calculating, by the blockchain node, the initial weight value of the data asset according to the calculation result and the feature information may specifically include:
in an alternative, the weight value may be calculated by different coefficients, for example, the coefficient of the calculation result is α 1, the coefficient of the feature information is α 2, and the weight value is α 1 + α 2.
In another alternative, the initial weight value may be a plurality of levels, for example, 1, 2, 3, 4, 5 levels, and each level corresponds to a range of weight values.
Step S203, collecting the transaction information of the data assets by the block chain nodes, obtaining dynamic weight according to the transaction information, and setting the operation strategy of the data assets according to the dynamic weight and the initial weight.
The operating strategies include one or more of the following: display ordering, advertisement recommendation, search ranking, uplink operation and downlink operation.
The transaction information may include one or more of the following: transaction price, transaction times, transaction party reputation, transaction evaluation (goodness).
The collection of transaction data of data assets is a very large amount of calculation, so that the data assets of the block chain are many, and if the data assets are updated and collected in real time, the real-time update collection cannot be calculated for a large amount of data, because the transaction information of the large amount of data assets is too much, the transaction data collected last time is not calculated, the transaction data collected next time comes back, and therefore the real-time collection and update are not possible. Alternatively, transaction data for a data asset may be monitored and collected once if the transaction data is updated, which may be feasible for data that is infrequently traded for the data asset, but not feasible for assets that are traded very frequently for the data asset. For example, for music 1, for a song newly released by a red singer, the transaction data may be very frequent, perhaps up to several times per second, and, on a statistical basis,the transaction data for new song release may reach 10 a day6Therefore, the present application needs to consider the above situations comprehensively, that is, to ensure that the collected transaction data can be calculated, and to consider the situation that the transaction data is updated too frequently.
The collecting, by the blockchain node, the transaction information of the data asset may specifically include:
the method comprises the steps that a block chain node determines n preset levels, computing time Ti of the n levels and an updating period Ti corresponding to the n levels are estimated, wherein i is a level number, the minimum period Tmin of the n periods is used as a blue book period, n computing times are pre-arranged in the blue book period to obtain a pre-arranged blue book, the pre-arranged blue book is copied to obtain a collection blue book, and transaction information of the levels corresponding to the computing times is collected according to the computing time of the collection blue book (for example, at revelation time, namely, at the collection of transaction data of level 1, similarly, at the starting time of t2, at the collection of transaction data of level 2). The n calculation times in the preliminary row may specifically include:
the calculation time with high rank is prioritized in the blue period, then the calculation time with low rank is prioritized and n calculation times are evenly distributed in the blue period.
Referring to fig. 2a, the n levels are 4 levels as an example, the calculation time ti may be T1, T2, T3, T4, and the update period is T1, T2, T3, T4. Let T1 be 100 seconds; when T2 is 120 seconds, T3 is 130 seconds, and T4 is 140 seconds, the blue cycle is determined to be 100 seconds, T1 is 20 seconds, T2 is 15 seconds, T3 is 10 seconds, and T4 is 5 seconds. When the interval time is 4 intervals (because the blue text cycle is repeated, not only the calculation time interval between the blue text cycles but also the time interval between the next blue text cycle need to be considered), the blue text cycle is first prearranged for T1, and then T2, T3 and T4, for which the interval of the calculation time can be determined, for example, the time interval is (T1-sum of calculation time)/number of intervals. Specifically, when the time interval is (100-55)/4 is 11.25 seconds, t1, t2, t3, and t4 are arranged at an interval of 11.25 seconds to obtain a pre-blueprint. The pre-draining blueprints are shown in fig. 2a, and the collecting blueprints are shown in fig. 2 b. According to the technical scheme, the calculation time is pre-arranged, so that the calculation time conflicts of different levels are avoided, the transaction data can be collected regularly, the validity of the transaction data is guaranteed, and the excessive calculation amount is avoided.
The estimated calculation time and the updating period can be obtained by adopting an estimated model, and the specific obtaining mode is limited. But can be set by the user according to the experience value of the user.
For the case that the transaction information is the key information of the data asset, which reflects the most intuitive data of the data asset, taking music data as an example, if the transaction amount of the music a is 100 ten thousand yuan, the transaction value is higher, a higher weight value is certainly needed, and the data is further matched with the operation strategy corresponding to the weight value, for example, if the transaction amount of the music B is 1000 yuan, the transaction value is lower, and a lower weight value is certainly needed. Therefore, the scheme of the dynamic adjustment can correct the initial weight value, so that the weight value is matched with the data assets more, the exposure of the data is further improved, and the user experience is improved.
The method comprises the steps that a block chain node of a technical scheme obtains a data asset of a block chain, performs feature extraction on the data asset to obtain feature information of the data asset, and inputs the data asset into an evaluation model to perform calculation to obtain a calculation result; and calculating the initial weight value of the data asset by the block link point according to the calculation result and the characteristic information, collecting transaction information of the data asset, obtaining dynamic weight according to the transaction information, and setting an operation strategy of the data asset according to the dynamic weight and the initial weight. After the initial weight value is obtained through calculation, the dynamic weight can be obtained along with transaction information of the data asset in the block chain, then the initial weight is adjusted according to the dynamic weight to obtain the current weight, the operation strategy of the data asset can be set according to the current weight, the operation strategy of the data asset can be matched with the corresponding weight value, different operation strategies can be pertinently provided for different data assets, the exposure and the matching degree of data are improved, and the user experience degree is improved.
In the technical solution shown in fig. 2, for example, the setting the operation policy of the data asset according to the dynamic weight and the initial weight may specifically include: acquiring a first coefficient of a dynamic weight and a second coefficient of an initial weight, determining the current weight of the data asset according to the first coefficient, the dynamic weight, the second coefficient and the initial weight, determining the strategy grade of the data asset according to the current weight, and executing the operation matched with the strategy grade on the data asset.
In the technical solution shown in fig. 2, for example, after step S203, the technical solution may further include:
the blockchain nodes record the initial weight values and/or the dynamic weight calculation process to the blockchain.
The above weight value calculation process may include one or more of the following information: the calculation rule of the initial weight value, the parameter type of the initial weight value calculation, the parameter value of the initial weight value calculation, the calculation rule of the dynamic weight, the parameter type of the dynamic weight calculation and the parameter value of the dynamic weight calculation.
The initial weight value and/or dynamic weight calculation process is recorded to the blockchain to support the reverse verification of the weight value, and the data recorded to the blockchain is original, credible and unchangeable data, so that the transparency of the data asset can be improved, and the credibility of the data asset is further improved.
In the technical solution shown in fig. 2, for example, after step S203, the technical solution may further include:
and acquiring a participation subject of the data asset, adjusting the grade of the participation subject according to the current weight, and providing the participation subject with the authority matched with the grade.
The above-mentioned classes of participating subjects include one or more of: priority, credit rating.
Such participating agents include, but are not limited to, a chainman or legal person on the data asset, a publisher of the data asset, and a director of the data asset.
According to the technical scheme, the main body can be encouraged to upload more effective data by adjusting the grade of the participating main body, and each participating main body can also enjoy rich rights and interests exchange to acquire additional value from data sharing.
In an optional scenario, the adjusting the level of the participating subject according to the weight value may specifically include:
if the number of the participating agents is multiple, acquiring ownership proportion of the data resources by the agents, and distributing the current weight to the agents according to the proportion to adjust the levels of the agents.
For example, if the number of the subjects is 5, and the ownership ratio of the data resources of 5 subjects is 2:2:2:2:2, the current weight is uniformly allocated to 5, and the weight of each subject is increased by 1.
The rights include one or more of the following: more rights or additional value, data purchase coupons, data application green channels, data transaction matching services, online and offline physical redemption.
The corresponding weight values distributed according to the ownership proportion can be distributed according to fair contribution, the average degree determined by the weight values is improved, and the user experience degree is improved.
Referring to fig. 3, fig. 3 provides a block chain-based data manipulation method, which is performed by block link points, which may be data centers, and the method is shown in fig. 3, and includes the following steps:
step S301, the block chain link point acquires characteristic information (including and not limited to historical weight of data participation subject, historical value and weight of data, number/duration of data used, user evaluation information, industry attribute, resource consumption and the like) of data assets on the chain from the block chain;
step S302, calculating the initial weight of the data asset according to the data asset characteristics and an initial scoring model (such as Logistic regression) by the block link points;
step S303, collecting and evaluating the real value of the data generated in the actual service scene by the block chain node.
Step S304, dynamically adjusting the quality weight of the data assets according to the initial weight by the block link points according to the generated real value;
s305, performing offline processing on the asset data with unqualified quality weight by using the block link point;
step S306, the block chain node records the weighting process and the result of the data quality weighting to the block chain.
According to the technical scheme shown in fig. 3, the data assets are evaluated in a weight mode, so that the operation strategies of the data assets can be matched with the corresponding weight values, different operation strategies can be provided for different data assets in a targeted mode, the exposure and matching degree of data are improved, and the user experience degree is improved.
Referring to fig. 4, fig. 4 provides a blockchain-based excitation method, which may be performed by a node of a blockchain, and the functions of the blocks of the design of this embodiment are as follows: the weight distribution module distributes or adjusts the weight of each data participating main body; the weight operation module provides a reward and punishment mechanism and weight exchange and settlement functions. The uplink module is mainly responsible for recording processes and results of weight distribution, exchange, reward and punishment and the like on the block chain, and guarantees that the weight of the data participating main body is real and effective and is not tampered.
The method, as shown in fig. 4, includes the following steps:
step S401, acquiring data asset weight and data energy composition (ownership, use right, transfer right, profit right and the like) of the data assets on the chain from the block chain;
s402, distributing or adjusting the weight of each data participating subject according to the data weight and the weight energy by using a weight distribution model;
step S403, grading according to the weight of each participating subject, and rewarding or punishing the participating subjects, including but not limited to opening and recovering of authority, increasing and decreasing of data exposure, change of data transaction discount, and the like;
and S404, providing a weight value exchange function, wherein each participating subject can exchange more rights and interests or additional value through weight exchange.
The rights or extra prices in the implementation method of step S404 described above are data rights such as data purchase coupons, data application green channels, data transaction matching services, and more online and offline entity exchanges.
And S405, settling accounts of all the participating subject weights, and recording the whole weight operation process (weight distribution, exchange, settlement, reward and punishment and the like) and results on a block chain.
The technical scheme provided by the application ensures that the weight operation is real, credible and effective, and stimulates each participating subject to more actively share high-quality data.
Referring to fig. 5, fig. 5 provides a data operation method based on a block chain, where the method is executed by a node of the block chain, and the data assets of the method are music as an example, for convenience of description, the copyright owner (uploader) of music here is zhang san, and uploads a plurality of pieces of music, and for convenience of description, the three pieces of music here are music 1, music 2, and music 3, respectively, and the method is shown in fig. 5 and includes the following steps:
step S501, the block link points acquire feature information of music 1, music 2 and music 3,
the history weight x of the above-mentioned subject, the number of data uses y (the number of uses of music 1, music 2, music 3 is y1, y2, and y3, respectively).
For example, the feature information may be represented by a numerical value, and specifically, for example, in an alternative embodiment of the present application, the feature information 1 (music 1) ═ α 1 x + α 2 x 1, the feature information 2 (music 2) ═ α 1 x + α 2 y2, and the feature information 3 (music 3) ═ α 1 x + α 2 y 3.
Step S502, the block chain node respectively inputs the music 1, the music 2 and the music 3 into an initial scoring model (such as Logistic regression) to calculate to obtain a calculation result 1, a calculation result 2 and a calculation result 3, and an initial weight 1, an initial weight 2 and an initial weight 3 are obtained according to the characteristic information and the calculation result.
The initial scoring model is, for example, a logistic regression model, but in practical applications, other scoring models, such as a credit scoring model, etc., may also be used.
Step S503, the blockchain node collects the transaction information 1 of the music 1, the transaction information 2 of the music 2, and the transaction information 3 of the music 3, and obtains the dynamic weight 1, the dynamic weight 2, and the dynamic weight 3 according to the transaction information.
Step S504, adding the initial weight and the dynamic weight to the block link point to obtain a current weight 1, a current weight 2, and a current weight 3, and performing descending order arrangement on the current weight 1, the current weight 2, and the current weight 3, assuming that the descending order arrangement order is: current weight 2, current weight 1, and current weight 3, the display order is adjusted to music 2, music 1, and music 3.
The technical scheme block chain node provided by the application can be used for processing a plurality of pieces of music to obtain dynamic weights, then sequencing is carried out according to the dynamic weights, so that the plurality of pieces of music can show value along with the lapse of time, the operation strategy of the data asset can be matched with the corresponding weight value, different operation strategies can be pertinently provided for different data assets, the exposure and the matching degree of the data are improved, and the user experience degree is improved.
Referring to fig. 6, fig. 6 provides a block chain based data manipulation apparatus 600, the apparatus comprising:
an obtaining unit 601, configured to obtain a data asset of a block chain;
a processing unit 602, configured to perform feature extraction on the data asset to obtain feature information of the data asset; inputting the data assets into an evaluation model for calculation to obtain a calculation result; calculating to obtain an initial weight value of the data asset according to the calculation result and the characteristic information;
a collecting unit 603 for collecting transaction information of the data assets;
the processing unit 602 is further configured to obtain a dynamic weight according to the transaction information, and set an operation policy of the data asset according to the dynamic weight and the initial weight.
The method comprises the steps that a block chain node of a technical scheme obtains a data asset of a block chain, performs feature extraction on the data asset to obtain feature information of the data asset, and inputs the data asset into an evaluation model to perform calculation to obtain a calculation result; and calculating the initial weight value of the data asset by the block link point according to the calculation result and the characteristic information, collecting transaction information of the data asset, obtaining dynamic weight according to the transaction information, and setting an operation strategy of the data asset according to the dynamic weight and the initial weight. After the initial weight value is obtained through calculation, the dynamic weight can be obtained along with transaction information of the data asset in the block chain, then the initial weight is adjusted according to the dynamic weight to obtain the current weight, the operation strategy of the data asset can be set according to the current weight, the operation strategy of the data asset can be matched with the corresponding weight value, different operation strategies can be pertinently provided for different data assets, the exposure and the matching degree of data are improved, and the user experience degree is improved.
For example, the obtaining unit 601 is further configured to obtain a first coefficient of the dynamic weight and a second coefficient of the initial weight;
the processing unit 602 is specifically configured to determine a current weight of the data asset according to the first coefficient, the dynamic weight, the second coefficient, and the initial weight, determine a policy class of the data asset according to the current weight, and perform an operation matching the policy class on the data asset.
E.g., processing unit 602, is further configured to record the calculation process of the initial weight values and/or dynamic weights to a blockchain.
For example, the obtaining unit 601 is further configured to obtain a participating subject of the data asset;
the processing unit 602 is further configured to adjust the level of the participating subject according to the current weight, and provide a right matched with the level for the participating subject.
For example, the obtaining unit 601 is configured to obtain ownership proportions of the plurality of principals to the data resource if the participating principals are multiple;
a processing unit 602, specifically configured to assign the current weight to the subjects according to the ratio to adjust the levels of the subjects.
Referring to fig. 7, embodiments of the present application provide a block link point 700, which may include:
a processor 710 and a memory 720 coupled to each other. The processor 710 is configured to call a computer program stored in the memory 720 to perform part or all of the steps of any one of the methods that may be performed by the block link points in the embodiments of the present application.
Referring to fig. 8, an embodiment of the present application provides a communication apparatus 800, including:
at least one input 810, a signal processor 820, and at least one output 830;
the signal processor 820 is configured to perform some or all of the steps of any one of the methods that may be performed by the block link points in the embodiments of the present application.
Referring to fig. 9, an embodiment of the present application provides a communication apparatus 900, including: an input interface circuit 910, a logic circuit 920, and an output interface circuit 930. The logic 920 is configured to perform some or all of the steps of any of the methods that may be performed by the block nodes in the embodiments of the present application.
Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, where the computer program, when executed by hardware (e.g., a processor), is capable of performing part or all of the steps of any one of the methods that may be performed by an access network device in the embodiments of the present application.
Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, where the computer program, when executed by hardware (e.g., a processor), is capable of performing part or all of the steps of any one of the methods that may be performed by an access network device in the embodiments of the present application.
Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, where the computer program is executed by hardware (for example, a processor, etc.) to implement part or all of steps of any method executed by any device in the embodiments of the present application.
Embodiments of the present application also provide a computer program product comprising instructions for causing a computer device to perform some or all of the steps of any one of the above aspects when the computer program product runs on the computer device.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., compact disk), or a semiconductor medium (e.g., solid state disk), among others. In the foregoing embodiments, 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 foregoing embodiments, 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 apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is merely a logical division, and the actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the indirect coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, and may be electrical or in other forms.
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 application 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 may be implemented in the form of hardware, or may also be implemented in the 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 application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in 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 application. And the aforementioned storage media may include, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Claims (12)
1. A method for data manipulation based on blockchains, the method comprising:
acquiring data assets of a block chain, and performing feature extraction on the data assets to obtain feature information of the data assets;
inputting the data assets into an evaluation model for calculation to obtain a calculation result; calculating to obtain an initial weight value of the data asset according to the calculation result and the characteristic information;
and collecting transaction information of the data assets, obtaining dynamic weight according to the transaction information, and setting an operation strategy of the data assets according to the dynamic weight and the initial weight.
2. The method of claim 1, wherein the setting the operational policy of the data asset as a function of the dynamic weight and the initial weight specifically comprises:
acquiring a first coefficient of a dynamic weight and a second coefficient of an initial weight, determining the current weight of the data asset according to the first coefficient, the dynamic weight, the second coefficient and the initial weight, determining the strategy grade of the data asset according to the current weight, and executing the operation matched with the strategy grade on the data asset.
3. The method of claim 2, further comprising:
and recording the calculation process of the initial weight value and/or the dynamic weight to a block chain.
4. The method of claim 2, further comprising:
and acquiring a participation subject of the data asset, adjusting the grade of the participation subject according to the current weight, and providing the participation subject with the authority matched with the grade.
5. The method of claim 4, further comprising:
if the number of the participating agents is multiple, acquiring ownership proportion of the data resources by the agents, and distributing the current weight to the agents according to the proportion to adjust the levels of the agents.
6. An apparatus for data manipulation based on blockchains, the apparatus comprising:
the acquisition unit is used for acquiring data assets of the block chain;
the processing unit is used for performing feature extraction on the data assets to obtain feature information of the data assets; inputting the data assets into an evaluation model for calculation to obtain a calculation result; calculating to obtain an initial weight value of the data asset according to the calculation result and the characteristic information;
a collecting unit for collecting transaction information of the data assets;
the processing unit is further configured to obtain a dynamic weight according to the transaction information, and set an operation policy of the data asset according to the dynamic weight and the initial weight.
7. The apparatus of claim 6,
the acquiring unit is further configured to acquire a first coefficient of the dynamic weight and a second coefficient of the initial weight;
the processing unit is specifically configured to determine a current weight of the data asset according to the first coefficient, the dynamic weight, the second coefficient, and the initial weight, determine a policy class of the data asset according to the current weight, and perform an operation matching the policy class on the data asset.
8. The apparatus of claim 6,
the processing unit is further configured to record a calculation process of the initial weight value and/or the dynamic weight to a blockchain.
9. The apparatus of claim 6,
the acquisition unit is further used for acquiring a participation subject of the data asset;
the processing unit is further configured to adjust the level of the participating subject according to the current weight, and provide the participating subject with a right matched with the level.
10. The apparatus of claim 9,
the acquiring unit is used for acquiring ownership proportions of the plurality of the participating agents to the data resource if the participating agents are a plurality of the participating agents;
the processing unit is specifically configured to assign the current weight to the subjects according to the ratio to adjust the ranks of the subjects.
11. A terminal comprising a processor, memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
12. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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