CN111861753B

CN111861753B - Evaluation result acquisition method and device, storage medium and electronic equipment

Info

Publication number: CN111861753B
Application number: CN202010740019.5A
Authority: CN
Inventors: 朱江; 聂二保
Original assignee: Beijing Kingsoft Cloud Network Technology Co Ltd
Current assignee: Beijing Kingsoft Cloud Network Technology Co Ltd
Priority date: 2020-07-28
Filing date: 2020-07-28
Publication date: 2024-03-15
Anticipated expiration: 2040-07-28
Also published as: CN111861753A

Abstract

The application provides an evaluation result acquisition method and device, a storage medium and electronic equipment, and relates to the technical field of blockchain. The method comprises the following steps: broadcasting the information to be evaluated to all public chain nodes so that all users in the public chain can evaluate the information to be evaluated for the first time and feed back a first evaluation result, after any one user feeds back the first evaluation result, feeding back statistical results for counting the first evaluation result of the user and evaluation results of other users before the user to the user, feeding back second evaluation results by the user according to the statistical results, and sending target statistical results obtained by counting all the second evaluation results to an evaluation requester. Because users in the public chain participate in the investment of the digital asset, the factors such as risk change in the investment are accurately judged, and the second evaluation result is given by the users through reference to the statistical result, the result is more approximate to the expected market result, and therefore the evaluation demander obtains objective market expectation.

Description

Evaluation result acquisition method and device, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of blockchain technologies, and in particular, to a method and apparatus for obtaining an evaluation result, a storage medium, and an electronic device.

Background

Digital assets include actual digital assets, which are owned or controlled by an enterprise or individual, in the form of electronic data, non-monetary assets held in daily activities for sale or in the process of production, and virtual digital assets, which are non-existent, imaginary digital assets, such as the patent to be filed.

Before a user invests in digital assets, the user often consults a professional institution, and the professional institution evaluates the digital assets which the user plans to invest in, and gives out an evaluation result of the digital assets for the user to refer to.

The inventor researches that most of the professional institutions are not investors of the data assets, do not participate in the investment of the digital assets, and generally apply the pricing and valuation processes of the digital assets according to past experience to evaluate the digital assets. Because the professional institutions do not participate in the investment of the digital assets, the judgment of factors such as risk change in the investment process is not accurate enough, and therefore the users cannot obtain objective market expectation.

Disclosure of Invention

The application provides an evaluation result acquisition method and device, a storage medium and electronic equipment, and aims to solve the problem that a professional institution does not participate in investment of digital assets, and the problem that a user cannot obtain objective market expectation due to inaccurate judgment of factors such as risk change in the investment process.

In order to achieve the above object, the present application provides the following technical solutions:

an evaluation result acquisition method includes:

receiving asset information and evaluation mechanism information of the digital asset to be evaluated, which are sent by an evaluation requester; the evaluation mechanism information at least comprises evaluation time;

generating information to be evaluated according to the asset information and the evaluation mechanism information;

generating an intelligent contract corresponding to the information to be evaluated according to the information to be evaluated;

the information to be evaluated is sent to all public chain nodes for storage, so that users in the public chain can evaluate the information to be evaluated for the first time through the public chain nodes corresponding to the users, and the first evaluation result of the first evaluation is fed back to all public chain nodes;

after receiving a first evaluation result fed back by a target user, invoking the intelligent contract, counting the first evaluation result of the target user and evaluation results fed back by other users before the first evaluation result is fed back by the target user, and feeding back the counted statistics result to the target user, so that the target user carries out second evaluation on the digital asset to be evaluated by referring to the statistics result, and feeds back the second evaluation result of the second evaluation to each public chain node; the target user is any user participating in the first evaluation;

Acquiring all second evaluation results in the public chain at the cut-off time point of the evaluation time, and counting each second evaluation result to obtain a target statistical result;

and sending the target statistical result to the assessment demander.

The method, optionally, generating information to be evaluated according to the asset information and the evaluation mechanism information, includes:

generating initial information to be evaluated according to the asset information and the evaluation mechanism information, and generating abstract information of the initial information to be evaluated;

encrypting the initial information to be evaluated according to the private key of the evaluation demander to obtain initial encrypted information to be evaluated;

and forming the initial encryption information to be evaluated and the summary information of the initial information to be evaluated into the information to be evaluated.

The method, optionally, the evaluation time includes a first evaluation time and a second evaluation time, and the acquiring, at a deadline point of the evaluation time, all second evaluation results in the public chain includes:

judging whether a user participating in the first evaluation does not feed back a second evaluation result before the cut-off time point at the cut-off time point of the first evaluation time;

If yes, sending prompt information to a user which does not feed back a second evaluation result according to the second evaluation time; the prompt information is used for prompting a user which does not feed back a second evaluation result to feed back the second evaluation result before the expiration time point of the second evaluation time;

and at the cut-off time point of the second evaluation time, acquiring all second evaluation results in the public chain.

In the above method, optionally, the second evaluation result includes a first result or a second result, and the counting each second evaluation result to obtain a target statistical result includes:

calculating a second evaluation result total number, a first result total number and a second result total number according to each second evaluation result;

calculating a first duty ratio result and a second duty ratio result; the first duty ratio result is used for representing the duty ratio condition of the first result total number and the second evaluation result total number, and the second duty ratio result is used for representing the duty ratio condition of the second result total number and the second evaluation result total number;

and taking the second evaluation result total number, the first result total number, the second result total number, the first duty ratio situation and the second duty ratio situation as target statistical results.

The method described above, optionally, wherein the digital asset to be evaluated comprises an actual digital asset or a virtual digital asset,

if the digital asset to be evaluated is an actual digital asset, the receiving asset information of the digital asset to be evaluated sent by the evaluation requester includes:

receiving asset information of a digital asset to be evaluated, which is sent to a public chain node corresponding to the evaluating demander through an intermediate component;

if the digital asset to be evaluated is a virtual digital asset, the receiving asset information of the digital asset to be evaluated sent by the evaluation requester includes:

and receiving asset information of the digital asset to be evaluated, which is directly sent to the public chain node corresponding to the evaluating requester.

The method, optionally, the evaluation mechanism information further includes a prize distribution mechanism and a prize total.

In the above method, optionally, if the digital asset to be evaluated is a virtual digital asset, after the sending the target statistics to the evaluation demander, the method further includes:

determining the number of users of a target user; the target user is a user who carries out second evaluation on the information to be evaluated;

determining rewards to be distributed corresponding to each target user according to a reward distribution mechanism and a reward total amount contained in the intelligent contract;

And issuing corresponding rewards to be distributed for each target user.

In the above method, optionally, after the sending the target statistics to the evaluation demander, if the digital asset to be evaluated is an actual digital asset, the method further includes:

after the transaction rising and falling results of the assets to be evaluated are published, determining a plurality of first target users from all target users, wherein the target users are users for performing second evaluation on the information to be evaluated, and the second evaluation result of each first target user is consistent with the transaction rising and falling result;

if the user feeds back the evaluation result to the public chain to consume fuel cost, determining rewards to be distributed corresponding to each first target user and determining rewards to be distributed corresponding to each second target user according to a reward distribution mechanism and a reward total amount contained in the intelligent contract, and distributing respective corresponding rewards to be distributed for each first target user and each second target user; the second target user is other target users except for the first target user among all the target users, rewards to be distributed of the first target user are different from rewards to be distributed of the second target user, and the evaluation results comprise a first evaluation result and a second evaluation result;

If the user feeds back the evaluation result to the public chain without consuming fuel cost, determining the rewards to be distributed corresponding to each first target user according to the rewards distribution mechanism and the rewards total amount contained in the intelligent contract, and distributing the corresponding rewards to be distributed for each first target user.

The above method, optionally, further includes, after the sending the information to be evaluated to each public chain node for storage:

judging whether the total number of the users participating in the evaluation exceeds the number of the preset evaluation persons in real time;

if yes, other users are forbidden to evaluate the information to be evaluated.

In the above method, optionally, the generating, according to the information to be evaluated, an intelligent contract corresponding to the information to be evaluated includes:

acquiring a pre-constructed intelligent contract template, and determining each key field contained in the intelligent contract template;

extracting data items corresponding to each key field from the information to be evaluated;

and correspondingly writing the data item corresponding to each key field into the intelligent contract template to obtain the intelligent contract corresponding to the information to be evaluated.

An evaluation result acquisition apparatus comprising:

The receiving unit is used for receiving asset information and evaluation mechanism information of the digital asset to be evaluated, which are sent by the evaluation demander; the evaluation mechanism information at least comprises evaluation time;

the first generation unit is used for generating information to be evaluated according to the asset information and the evaluation mechanism information;

the second generation unit is used for generating an intelligent contract corresponding to the information to be evaluated according to the information to be evaluated;

the first evaluation unit is used for sending the information to be evaluated to each public chain node for storage, so that users in the public chain can evaluate the information to be evaluated for the first time through the public chain node corresponding to the users, and the first evaluation result of the first evaluation is fed back to each public chain node;

the second evaluation unit is used for calling the intelligent contract after receiving a first evaluation result fed back by a target user, counting the first evaluation result of the target user and evaluation results fed back by other users before the first evaluation result is fed back by the target user, feeding back the counted statistics result to the target user, enabling the target user to refer to the statistics result, performing second evaluation on the digital asset to be evaluated, and feeding back the second evaluation result of the second evaluation to each public chain node; the target user is any user participating in the first evaluation;

The statistics unit is used for acquiring all second evaluation results in the public chain at the cut-off time point of the evaluation time, and counting the second evaluation results to obtain a target statistics result;

and the sending unit is used for sending the target statistical result to the evaluation demander.

In the above apparatus, optionally, the first generating unit generates information to be evaluated according to the asset information and the evaluation mechanism information, where the information to be evaluated is used for:

The above apparatus, optionally, the evaluation time includes a first evaluation time and a second evaluation time, and the statistical unit executes at a deadline point of the evaluation time, obtains all second evaluation results in the public chain, and is configured to:

In the foregoing apparatus, optionally, the second evaluation result includes a first result or a second result, and the statistics unit performs statistics on each of the second evaluation results to obtain a target statistical result, where the target statistical result is used for:

The above apparatus, optionally, the digital asset to be evaluated includes an actual digital asset or a virtual digital asset, and the receiving unit is configured to receive asset information of the digital asset to be evaluated sent by the evaluation requester, and is configured to:

if the digital asset to be evaluated is an actual digital asset, receiving asset information of the digital asset to be evaluated, which is sent to a public chain node corresponding to the digital asset to be evaluated by an evaluation demander through an intermediate component;

and if the digital asset to be evaluated is an actual digital asset, receiving asset information of the digital asset to be evaluated, which is directly sent to a public chain node corresponding to the evaluating requester.

The above apparatus, optionally, the evaluation mechanism information further includes a prize distribution mechanism and a prize total.

The above apparatus, optionally, if the digital asset to be evaluated is a virtual digital asset, further comprising:

a first determining unit, configured to determine a number of users of the target user; the target user is a user who carries out second evaluation on the information to be evaluated;

the second determining unit is used for determining rewards to be distributed corresponding to each target user according to a reward distribution mechanism and a reward total amount contained in the intelligent contract;

And the first sending unit is used for sending corresponding rewards to be distributed to each target user.

The above apparatus, optionally, if the digital asset to be evaluated is an actual digital asset, further comprising:

a third determining unit, configured to determine a plurality of first target users from among the target users after the transaction rising and falling results of the to-be-evaluated assets are published, where the target users are users performing a second evaluation on the to-be-evaluated information, and a second evaluation result of each first target user is consistent with the transaction rising and falling results;

the second issuing unit is used for determining rewards to be distributed corresponding to each first target user and determining rewards to be distributed corresponding to each second target user according to a reward distribution mechanism and a total amount of rewards contained in the intelligent contract if the user feeds back an evaluation result to the public chain and needs to consume fuel expenses, and issuing corresponding rewards to be distributed for each first target user and each second target user; the second target user is other target users except for the first target user among all the target users, rewards to be distributed of the first target user are different from rewards to be distributed of the second target user, and the evaluation results comprise a first evaluation result and a second evaluation result;

And the third issuing unit is used for determining the rewards to be distributed corresponding to each first target user according to the rewards distribution mechanism and the total rewards contained in the intelligent contract if the user feeds back the evaluation result to the public chain without consuming fuel cost, and issuing the corresponding rewards to be distributed for each first target user.

The above device, optionally, further comprises:

the judging unit is used for judging whether the total number of the users participating in the evaluation exceeds the preset evaluation number of people in real time;

and the prohibition unit is used for prohibiting other users from evaluating the information to be evaluated if the information to be evaluated is the same.

In the above apparatus, optionally, the second generating unit executes an intelligent contract corresponding to the information to be evaluated according to the information to be evaluated, and is configured to:

A storage medium comprising stored instructions, wherein the instructions, when executed, control a device in which the storage medium resides to perform the above-described method of obtaining an evaluation result.

An electronic device comprising a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to perform the above-described method of obtaining an evaluation result by one or more processors.

Compared with the prior art, the application has the following advantages:

the application provides an evaluation result acquisition method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: the public chain generates information to be evaluated according to asset information and evaluation mechanism information of the data asset to be evaluated, generates intelligent contracts corresponding to the evaluation information, broadcasts the information to be evaluated to all public chain nodes, enables all users in the public chain to evaluate the information to be evaluated for the first time, counts the first evaluation result of the target user and evaluation results of other users before the first evaluation result is fed back by the target user after receiving the first evaluation result fed back by the target user, feeds back the counted counting result to the target user, enables the target user to refer to the counting result, evaluates the information to be evaluated for the second time, feeds back the evaluation result of the second evaluation, enables the target user to be any user participating in the first evaluation, acquires and counts all second evaluation results at the ending time point of evaluation time, obtains the target counting result, and sends the target counting result to an evaluation demander. Because the users participating in the evaluation are all users in the public chain, and the users are the participants of the investment of the digital asset, the risk change and other factors in the investment of the digital asset can be accurately judged, and the second evaluation result is given by the users by referring to the evaluation results of other users participating in the evaluation before the users, the second evaluation result is more approximate to the market expectation result, and therefore the evaluation demander obtains objective market expectation.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings may be obtained according to the provided drawings without inventive effort to a person skilled in the art.

FIG. 1 is a flow chart of a method for obtaining an evaluation result provided in the present application;

FIG. 2 is a schematic diagram of an evaluation system provided herein;

FIG. 3 is a schematic flow chart of an asset information transmission process provided in the present application;

FIG. 4 is a schematic flow chart of an actual digital asset creation and trading process provided herein;

FIG. 5 is a flowchart of another method for obtaining an evaluation result according to the present application;

FIG. 6 is an exemplary diagram of an evaluation result acquisition method provided in the present application;

FIG. 7 is a flowchart of another method for obtaining an evaluation result according to the present application;

FIG. 8 is a flowchart of another method for obtaining an evaluation result according to the present application;

FIG. 9 is a flowchart of another method for obtaining an evaluation result according to the present application;

FIG. 10 is a diagram showing still another example of an evaluation result acquisition method provided in the present application;

fig. 11 is a schematic structural diagram of an evaluation result obtaining apparatus provided in the present application;

fig. 12 is a schematic structural diagram of an electronic device provided in the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

Referring to fig. 1, an embodiment of the application discloses a method for obtaining an evaluation result, which specifically includes the following steps:

s101, receiving asset information and assessment mechanism information of the digital asset to be assessed, which are sent by an assessment requester.

The public chain receives asset information and evaluation mechanism information of the digital asset to be evaluated, which are sent by the evaluation demander, and specifically, the public chain can receive the asset information and the evaluation mechanism information of the digital asset to be evaluated, which are sent by the evaluation demander, through a public chain node of the evaluation demander. The evaluation mechanism information at least comprises evaluation time, and optionally, the evaluation mechanism information can further comprise a reward distribution mechanism and a reward total, account information of an evaluation requester, and the like.

The digital assets to be evaluated comprise actual digital assets or virtual digital assets, the actual digital assets are generally transacted through a alliance chain, in the alliance chain, owners of the original assets have financing requirements, the original assets are transmitted to institutions in the alliance chain, including a transaction platform, a digital asset registration platform, a digital asset evaluation structure, a digital asset right-determining institution and the like, the actual digital assets are created as the actual digital assets, owners sign the actual digital assets on the transaction platform, users can obtain the sign information of the actual digital assets through the transaction platform, investment will is generated, and further evaluation requirements for the actual digital assets are generated.

Optionally, referring to fig. 2, in an embodiment of the present application, an initiator node obtains asset information of an original asset, and sends the asset information of the original asset to a mechanism node, and the mechanism node digitally reforms the original asset according to the asset information of the original asset, so as to create an actual digital asset corresponding to the original asset. The method comprises the steps that a front hand node carries out listing on an actual digital asset, a rear hand node obtains listing information of the actual digital asset, an intermediate component obtains listing information of the actual digital asset from a rear hand node, data processing is carried out on the listing information of the actual digital asset, and asset information of the actual digital asset is obtained, wherein the asset information of the actual digital asset comprises listing information or index information corresponding to the listing information, the asset information of the actual digital asset is sent to all public chain nodes for evaluation, and evaluation results fed back by all public chain nodes are sent to the rear hand node. Referring to fig. 3, the process of transferring asset information of an actual digital asset a from a coalition chain into a public chain includes: the method comprises the steps that A registration information is obtained from a alliance chain node of a rear hand, the A registration information is transmitted to an intermediate component, the intermediate component carries out data processing on the A registration information to obtain A asset information, optionally, encryption and decryption processing can be carried out on the A registration information, the A asset information is sent to a public chain node of the rear hand, the public chain node of the rear hand generates A evaluation requirement information, namely, to-be-evaluated information of the A is broadcasted to all nodes of all public chains. The alliance chain node of the backhand is the same node as the backhand node, the backhand is an assessment demander mentioned in the embodiment of the application, and the front hand is a holder of an actual digital asset.

Referring to fig. 4, the actual digital asset creation process includes original asset registration and digitization, equity validation, risk coverage capability assessment, valuation, etc. The original asset holder node sends the asset information of the original asset to the transaction platform node, and the transaction platform node, the digital asset registration mechanism node, the digital asset evaluation mechanism node and the right confirmation mechanism node are configured to execute digital transformation of the original asset, so as to create an actual digital asset A corresponding to the original asset. After the creation is completed, the actual digital asset A can enter into a transaction, circulate to a transaction node in a alliance chain, and conduct the transaction with a front hand node at the transaction node.

If the digital asset to be evaluated is an actual digital asset, receiving asset information of the actual digital asset sent by the evaluation requester, including:

and receiving asset information of the digital asset to be evaluated, which is sent to the public chain node corresponding to the evaluating demander through the intermediate component.

In the method provided by the embodiment of the application, if the digital asset to be evaluated is an actual digital asset, because the actual digital asset is put into a license through a trading platform of a alliance chain, the asset of the actual digital asset needs to be sent to a public chain node of an evaluation demander through an intermediate component. It should be noted that, the information interaction between the federation chain and the public chain is implemented through the intermediate component as described above, which is not described herein.

Optionally, the intermediary component may perform data processing on asset information obtained from the federation chain, including but not limited to encryption processing or data desensitization processing; and sending the asset information after data processing to a public chain.

It should be noted that, the asset information of the actual digital asset mentioned in the embodiment of the present application is the listing information of the actual digital asset or the index information corresponding to the listing information, that is, the asset information of the actual digital asset received by the public link may be the listing information of the actual digital asset in the federation chain, or may be the index information related to the listing information extracted from the listing information, where the index information corresponding to the listing information is used to simply summarize the content in the listing information.

If the digital asset to be evaluated is a virtual digital asset, receiving asset information of the actual digital asset sent by the evaluation requester, including:

In the method provided by the embodiment of the application, if the digital asset to be evaluated is a virtual digital asset, that is, the digital asset fictitious by the evaluation requester, asset information of the digital asset to be evaluated, which is sent by the evaluation requester through the public chain node corresponding to the evaluation requester, is directly received.

S102, generating information to be evaluated according to the asset information and the evaluation mechanism information.

Referring to fig. 5, generating information to be evaluated according to asset information and evaluation mechanism information of the digital asset to be evaluated specifically includes the following steps:

s201, generating initial information to be evaluated according to the asset information and the evaluation mechanism information, and generating abstract information of the initial information to be evaluated.

S202, encrypting initial information to be evaluated according to a private key of an evaluation requester to obtain initial encrypted information to be evaluated;

s203, the initial encryption information to be evaluated and the abstract information of the initial information to be evaluated are formed into the information to be evaluated.

In the method provided by the embodiment of the application, the initial information to be evaluated may be four-tuple < asset information of the digital asset to be evaluated, account information of the evaluation requester, evaluation time and bonus total >, where the evaluation time includes a first evaluation time and a second evaluation time, the first evaluation time is used for indicating a deadline point for counting the second evaluation result, and the second evaluation time is used for indicating a deadline point for finally feeding back the second evaluation result.

It should be noted that the second evaluation time is longer than the first evaluation time.

Optionally, the summary information corresponding to the information to be evaluated may include: asset type, bonus amount, time of evaluation of the digital asset to be evaluated.

In the method provided by the embodiment of the application, summary information corresponding to the initial information to be evaluated and the initial encrypted information to be evaluated are combined into the information to be evaluated, that is to say, the information to be evaluated includes: summary information corresponding to the initial information to be evaluated and the initial encryption information to be evaluated.

S103, generating an intelligent contract corresponding to the information to be evaluated according to the information to be evaluated.

Optionally, the information to be evaluated may include an evaluation time, a reward mechanism and a reward total, and an intelligent contract corresponding to the information to be evaluated is generated according to the evaluation time, the reward mechanism and the reward total, specifically, a pre-constructed intelligent contract template is called according to the information to be evaluated, and an intelligent contract corresponding to the information to be evaluated is generated, that is, the evaluation time, the reward mechanism and the reward total are written into the pre-constructed intelligent contract template, and an intelligent contract corresponding to the information to be evaluated is generated. The smart contracts are used to send rewards to users participating in the assessment and to count the results of the assessment when the time of the assessment arrives.

According to the information to be evaluated, generating an intelligent contract corresponding to the information to be evaluated, which specifically comprises the following steps:

and correspondingly writing the data item corresponding to each key field into an intelligent contract template to obtain an intelligent contract corresponding to the information to be evaluated.

In the method provided by the embodiment of the application, an intelligent contract template is pre-constructed, the intelligent contract template comprises a plurality of key fields, and the data item corresponding to each key field is extracted from the information to be evaluated by analyzing the information to be evaluated. And writing the data item corresponding to each key field in the intelligent contract template into the position corresponding to the key field in the intelligent contract template to obtain the intelligent contract corresponding to the information to be evaluated.

Alternatively, referring to FIG. 6, the smart contract may include information for digital asset A, prophetic answers set to "Yes" and "No", evaluation time T and bonus total. The information of A is asset information of A, namely that the investment is suggested to the assessment requester is suggested, and the investment is not suggested to the assessment requester, wherein the assessment time T comprises a first assessment time T1 and a second assessment time T2.

And S104, sending the information to be evaluated to each public chain node for storage, so that users in the public chain can evaluate the information to be evaluated for the first time through the public chain node corresponding to the users, and feeding back a first evaluation result of the first evaluation to each public chain node.

In the method provided by the embodiment of the application, the information to be evaluated is uplink, and the information to be evaluated is broadcast to all public chain nodes.

The user in the public chain can acquire the information to be evaluated through own public chain nodes, namely, the abstract information corresponding to the initial information to be evaluated and the initial encryption information to be evaluated are acquired, and a first evaluation result of first evaluation of the information to be evaluated is fed back to each public chain node, wherein the first evaluation result is used for representing the given evaluation opinion of the user participating in the first evaluation, and the evaluation result comprises a result of yes or no.

Optionally, the user participating in the first evaluation writes the first evaluation result into the four-tuple < asset information of the digital asset to be evaluated, the account information of the evaluation requester, the evaluation time and the rewards total > to obtain the five-tuple < asset information of the digital asset to be evaluated, the evaluation time, the rewards total, the first evaluation result >, encrypts the five-tuple with the private key of the user, and sends the encrypted five-tuple to the public chain node of the user. And the public chain nodes receive the quintuple, uplink the quintuple and broadcast the quintuple to each public chain node.

S105, after receiving the first evaluation result fed back by the target user, invoking an intelligent contract, counting the first evaluation result of the target user and evaluation results fed back by other users before the first evaluation result is fed back by the target user, feeding back the counted counting result to the target user, enabling the target user to evaluate the digital asset to be evaluated for the second time by referring to the counting result, and feeding back the second evaluation result of the second evaluation to each public link node, wherein the target user is any user participating in the first evaluation.

After receiving a first evaluation result fed back by the target user, invoking the intelligent contract, and counting the first evaluation result of the target user and evaluation results fed back by other users before the first evaluation result is fed back by the target user, so as to obtain a counting result, wherein the target user is any user participating in the first evaluation, that is, after feeding back the first evaluation result, any user participating in the first evaluation, the public chain invokes the intelligent contract to count the currently fed back first evaluation result and evaluation results fed back by other users before the currently fed back first evaluation result, so as to obtain a counting result. It should be noted that, the evaluation result fed back by each other user may be the first evaluation result, or may be the first evaluation result and the second evaluation result, that is, after the current user feeds back the first evaluation result, there may be a case that the user that has fed back the first evaluation result does not feed back the second evaluation result, that is, after receiving the current user feeds back the first evaluation result, there may be a case that some other user feeds back only the first evaluation result as feeding back the second evaluation result, and there may be a case that all other users feed back the first evaluation result and the second evaluation result.

It should be noted that, the first evaluation result includes a first result and a second result, the second evaluation result includes a first result and a second result, the first result is optionally used for indicating that the evaluation demander should invest in the digital asset to be evaluated, the second result is optionally used for indicating that the evaluation demander should not invest in the digital asset to be evaluated, the first result is "yes", and the second result is "no".

The process of counting the first evaluation result of the target user and the evaluation results fed back by other users before the first evaluation result fed back by the target user specifically comprises the following steps:

calculating the total number of the evaluation results, the total number of the initial first results and the total number of the initial second results according to the first evaluation results of the target user and the evaluation results fed back by other users before the first evaluation results fed back by the target user; the initial first result total number is used for indicating that the evaluation result is the number of the first results, and the initial second result total number is used for indicating that the evaluation result is the number of the second results.

Calculating an initial first duty ratio result and an initial second duty ratio result; the initial first duty ratio result is used for representing the duty ratio condition of the total number of the initial first results and the total number of the evaluation results, and the initial second duty ratio result is used for representing the duty ratio condition of the total number of the initial second results and the total number of the evaluation results.

According to the method provided by the embodiment of the application, the total number of the evaluation results, the total number of the initial first results and the total number of the initial second results are calculated according to the first evaluation results of the target user and the evaluation results fed back by other users before the first evaluation results fed back by the target user; calculating an initial first duty ratio result and an initial second duty ratio result according to the total evaluation result, the initial first result total and the initial second result total, wherein the initial first duty ratio result is used for representing the duty ratio condition of the initial first result total and the total evaluation result total, namely, the initial first duty ratio result=the initial first result total/the total evaluation result total; the initial second duty result is used to characterize the duty ratio of the initial second result total to the evaluation result total, i.e. initial second duty result = initial second result total/evaluation result total. For example, the total number of evaluation results is 51, that is, 1000 users participate in the evaluation, wherein the total number of initial first results is 31, the total number of initial second results is 20, the initial first duty ratio results is 31/51, and the initial second duty ratio is 20/51.

In the method provided by the embodiment of the application, the first evaluation result of the target user and the evaluation results fed back by other users before the first evaluation result fed back by the target user are counted, and the obtained statistical results comprise the total number of the evaluation results, the total number of the initial first results, the total number of the initial second results, the initial first duty ratio result and the initial second duty ratio result.

And sending the statistical result to the target user, specifically, writing the statistical result into the asset information of the quintuple < to-be-evaluated digital asset, the account information of the evaluation requester, the evaluation time, the rewards total amount and the first evaluation result > corresponding to the target user, and obtaining the asset information of the octatuple < to-be-evaluated digital asset, the evaluation time, the rewards total amount, the first evaluation result, the total evaluation result, the ratio result and the total result corresponding to the target user, wherein the ratio result comprises an initial first ratio result and an initial second ratio result, and the total result comprises an initial first result total amount and an initial second result total amount.

And transmitting the eight-tuple < asset information of the digital asset to be evaluated, account information of the evaluation requester, evaluation time, rewards total, first evaluation results, total evaluation results, duty ratio results and total results > corresponding to the target user.

After the statistical result is sent to the target user, the target user can read and refer to the statistical result, choose to adjust or maintain the original opinion, perform second evaluation on the information to be evaluated, and give a second evaluation result. It should be noted that, the second evaluation result given by the target user may be the same as the first evaluation result or may be different from the first evaluation result, whether the evaluation results of the two evaluations of the target user are the same or not, and logically, the target user reads the statistical result and makes the second evaluation with reference to the statistical result, so that the second evaluation result is more close to the market expectation.

Optionally, the target user writes the second evaluation result into the eight-tuple < asset information of the digital asset to be evaluated, the account information of the evaluation requester, the evaluation time, the rewards total, the first evaluation result, the total evaluation result, the duty ratio result and the total result > to obtain nine-tuple < asset information of the digital asset to be evaluated, the account information of the evaluation requester, the evaluation time, the rewards total, the first evaluation result, the total evaluation result, the duty ratio result, the total result and the second evaluation result >, and feeds back the nine-tuple to the public chain through the public chain link point of the target user.

Optionally, the private key of the target user may be used to encrypt the nine tuples, and the nine tuples after the private key encryption may be broadcasted to each public chain node.

S106, at the expiration time point of the evaluation time, obtaining second evaluation results in the public chain, and counting each second evaluation result to obtain a target statistical result.

Optionally, the evaluation time includes a first evaluation time and a second evaluation time.

At the ending time point of the evaluation time, the process of obtaining the second evaluation result in the common chain specifically comprises the following steps:

judging whether a user participating in the first evaluation does not feed back a second evaluation result before the expiration time point at the expiration time point of the first evaluation time;

If yes, sending prompt information to a user which does not feed back a second evaluation result according to the second evaluation time; the prompt information is used for prompting the user which does not feed back the second evaluation result to feed back the second evaluation result before the expiration time point of the second evaluation time;

and at the expiration time point of the second evaluation time, all second evaluation results in the public chain are obtained.

In the method provided by the embodiment of the application, at the expiration time point of the first evaluation time, judging whether the situation that the user participating in the first evaluation does not feed back the second evaluation result exists, if so, sending prompt information to the user which does not feed back the second evaluation result according to the second evaluation time, prompting the user which does not feed back the second evaluation result to feed back the second evaluation result before the expiration time point of the second evaluation time, and acquiring all the second evaluation results in the public chain at the expiration time point of the second evaluation time; if the second evaluation result does not exist, all the second evaluation results in the public chain can be directly obtained, and the second evaluation results are not required to be obtained until the expiration time point of the second evaluation time is waited, so that the timeliness of obtaining the second evaluation results is improved.

It should be noted that the second evaluation results include a first result and a second result, and statistics is performed on each obtained second evaluation result, that is, the second evaluation result total number, the first result total number, the second result total number, the first duty ratio result, and the second duty ratio result are counted, so as to obtain the target statistical result.

The process of counting each second evaluation result to obtain the target statistics result, referring to fig. 7, specifically includes:

s301, calculating the total number of the second evaluation results, the total number of the first results and the total number of the second results according to each second evaluation result.

S302, calculating a first duty ratio result and a second duty ratio result; the first duty ratio result is used for representing the duty ratio condition of the first result total number and the second evaluation result total number, and the second duty ratio result is used for representing the duty ratio condition of the second result total number and the second evaluation result total number.

S303, taking the second evaluation result total number, the first result total number, the second result total number, the first duty ratio situation and the second duty ratio situation as target statistical results.

In the method provided by the embodiment of the application, the second evaluation result includes a first result or a second result, and optionally, the first result is used for indicating that the evaluation requester should invest in the digital asset to be evaluated, and the second result is used for indicating that the evaluation requester should not invest in the digital asset to be evaluated.

In the method provided by the embodiment of the application, according to the second evaluation results of each user, calculating the total number of the second evaluation results, the total number of the first results and the total number of the second results; calculating a first duty ratio result and a second duty ratio result according to the second evaluation result total, the first result total and the second result total, wherein the first duty ratio result is used for representing the duty ratio condition of the first result total and the second evaluation result total, namely, the first duty ratio result=the first result total/the second evaluation result total; the second duty result is used to characterize the duty ratio of the second total number of results to the second total number of evaluation results, i.e. second duty result = second total number of results/total number of evaluation results.

And taking the calculated second evaluation result total number, the first result total number, the second result total number, the first duty ratio situation and the second duty ratio situation as target statistical results.

And S107, sending the target statistical result to the assessment requester.

And sending the counted target statistical result to an evaluation requester so that the evaluation requester refers to the target statistical result to make a decision on the evaluation digital asset.

According to the assessment result acquisition method provided by the embodiment of the invention, the public chain generates information to be assessed according to asset information and assessment mechanism information of the data asset to be assessed, generates intelligent contracts corresponding to the assessment information, broadcasts the information to be assessed to all public chain nodes, enables all users in the public chain to carry out first assessment on the information to be assessed, carries out statistics on the first assessment result of the target user and assessment results of other users before the first assessment result is fed back by the target user after receiving the first assessment result fed back by the target user, feeds back the statistical result obtained through statistics to the target user, enables the target user to refer to the statistical result, carries out second assessment on the information to be assessed, feeds back the assessment result of the second assessment, wherein the target user is any user participating in the first assessment, acquires and carries out statistics on all second assessment results at the expiration time point of the assessment time, obtains the target statistical result, and sends the target statistical result to an assessment requester. By applying the assessment result acquisition method provided by the embodiment of the application, as all users in the public chain participate in assessment, and the users are participants of the investment of the digital asset, the risk change and other factors in the digital asset investment are accurately judged, and the second assessment result is given by the users by referring to the assessment results of other users participating in assessment before the users, the second assessment result is more approximate to the market expectation result, and thus the assessment demander obtains objective market expectation.

If the digital asset to be evaluated is a virtual digital asset, after the target statistics result is sent to the evaluation requester in step S108 disclosed in fig. 1 in the above embodiment of the present application, the flowchart is shown in fig. 8, and the method may further include the following steps:

s401, determining the number of users of a target user; the target user is a user who performs second evaluation on the information to be evaluated.

And determining the number of users of the target user, wherein the target user is a user for carrying out second evaluation on the information to be evaluated. Optionally, determining the target user according to a reward distribution mechanism contained in the intelligent contract, and further counting the number of users of the target user. Wherein the bonus allocation mechanism is used to indicate the objects of the bonus allocation and the proportion of the allocation.

It should be noted that, the number of users of the target user is equal to the total number of the second evaluation results.

S402, determining rewards to be distributed corresponding to each target user according to a rewards distribution mechanism and rewards total amount contained in the intelligent contract.

Determining the to-be-allocated rewards corresponding to each target user according to a reward allocation mechanism and a reward total amount contained in the intelligent contract, optionally dividing the reward total amount by the number of users of the target users to obtain to-be-allocated rewards corresponding to each target user, wherein the to-be-allocated rewards corresponding to each target user can be the same.

Optionally, if the user feeds back the evaluation result to the public chain where fuel cost is required to be consumed, the fuel may be expressed by GAS, and then a part of rewards needs to be extracted from the total amount of rewards, and the rewards are issued to the users only participating in the first evaluation so as to cover the cost of the users, and from the remaining rewards, the rewards to be distributed corresponding to each target user are determined.

S403, issuing corresponding rewards to be distributed for each target user.

And distributing the rewards to be distributed corresponding to each target user to the account corresponding to the target user.

In the method provided by the embodiment of the application, more users are stimulated to participate in the evaluation by distributing rewards to the users participating in the evaluation, so that the evaluation result is more accurate.

If the digital asset to be evaluated is an actual digital asset, after the target statistics result is sent to the evaluation requester in step S108 disclosed in fig. 1 in the above embodiment of the present application, the flowchart is shown in fig. 9, and the method may further include the following steps:

s501, after the transaction fluctuation results of the assets to be evaluated are published, determining a plurality of first target users from all target users.

If the asset to be evaluated is an actual digital asset, after the transaction rising and falling results of the digital asset to be evaluated are published, determining a first target user from all target users, wherein the target users are users for carrying out second evaluation on the information to be evaluated, and the first target users are users with corresponding second evaluation results consistent with the transaction rising and falling results, namely the second evaluation results of each first target user are consistent with the transaction rising and falling results.

S502, if the user feeds back the evaluation result to the public chain to consume fuel cost, determining rewards to be distributed corresponding to each first target user, determining rewards to be distributed corresponding to each second target user and distributing corresponding rewards to each first target user and each second target user according to a reward distribution mechanism and a reward total amount contained in the intelligent contract.

If the user feeds back the evaluation result to the public chain to consume the fuel cost, that is, the user feeds back the evaluation result to the public chain to consume the GAS cost, a cost is required to be issued for each user participating in the evaluation, and the cost is greater than or equal to the GAS cost, wherein the evaluation result comprises a first evaluation result and a second evaluation result.

Determining rewards to be distributed corresponding to each first target user according to a reward distribution mechanism and a reward total amount contained in the intelligent contract, and determining rewards to be distributed corresponding to each second target user, wherein the second target users are other target users except the first target users in all target users, second evaluation results corresponding to each second target user are inconsistent with transaction rising and falling results, rewards to be distributed corresponding to the first target user are different from rewards to be distributed corresponding to the second target user, rewards to be distributed corresponding to the first target user are larger than rewards to be distributed corresponding to the second target user, and rewards corresponding to each first target user and each second target user respectively comprise cost.

It should be noted that, a part of rewards need to be extracted from the total amount of rewards and issued to users only participating in the first evaluation to cover the cost of the users, and from the remaining rewards, the rewards to be distributed corresponding to each first target user are calculated, and the rewards to be distributed corresponding to each second target user are calculated.

And issuing respective corresponding rewards to be distributed for each first target user and each second target user based on the rewards to be distributed corresponding to each first target user and the rewards to be distributed corresponding to each second target user.

S503, if the user feeds back the evaluation result to the public chain without consuming fuel cost, determining the rewards to be distributed corresponding to each first target user according to the rewards distribution mechanism and the total rewards amount contained in the intelligent contract, and distributing the corresponding rewards to be distributed for each first target user.

If the user feeds the evaluation result back to the common chain without consuming GAS cost, the user only sends rewards for the user who makes correct evaluation, namely only sends rewards for the first target user, wherein the first target user is the user who participates in the second evaluation, and the second evaluation result is the user with consistent transaction rising and falling results.

Determining the rewards to be distributed corresponding to each first target user, and optionally, calculating an average value based on the total amount of rewards and the number of users of the first target users, wherein the rewards to be distributed corresponding to each first target user are the same, so as to obtain the rewards to be distributed corresponding to each first target user. And issuing the rewards to be distributed corresponding to each first target user to the account of each first target user.

After the information to be evaluated is sent to each public chain node for storage, which is referred to in step S104 disclosed in fig. 1 in the embodiment of the present application, the method may further include the following steps:

judging whether the total number of users participating in evaluation exceeds the number of preset evaluation persons in real time;

if yes, other users are forbidden to evaluate the information to be evaluated.

In the method provided by the embodiment of the invention, when the number of the users participating in the evaluation is too large, the obtained rewards of each user participating in the evaluation are too small, or when the uplink needs to pay the GAS fee, the number of the users participating in the evaluation is too large, and the paid GAS fee even exceeds the total rewards, therefore, the number of the users participating in the evaluation needs to be limited, the preset evaluation number can be set in a reward distribution mechanism, the total number of the users participating in the evaluation is acquired and judged in real time, and when the total number of the users participating in the evaluation exceeds the preset evaluation number, other users are forbidden to evaluate the information to be evaluated. Or setting parameters in a reward distribution mechanism, and defining the proportion of the GAS in the total amount of rewards, wherein if the upper limit of the GAS in the total amount of rewards is not more than 30%, the number of predictors is limited once the upper limit of the GAS is exceeded, and later predictors can only read information but cannot give an evaluation result.

Referring to fig. 10, an evaluation result obtaining method mentioned in the embodiment of the present application is illustrated as follows:

the middle component sends the asset information of the actual digital asset to the public chain node of the back hand in the public chain system, namely the asset information is sent to the public chain node of the assessment requester, the back hand logs in the public chain, the asset information of the actual digital asset is packaged through the public chain node, the 'prophetic requirement', the rewarding mechanism and the assessment time T are written into the intelligent contract, the public chain node of the back hand acquires the asset information of the actual digital asset, generates the information to be assessed based on the asset information, the rewarding mechanism and the assessment time T, links and broadcasts the information to be assessed to all public chain nodes, a user in the public chain acquires the information to be assessed through the public chain node of the user, and feeds back the assessment result of the first assessment of the information to be assessed to the public chain, after each user participating in the first evaluation feeds back the first evaluation result, an intelligent contract is called to count the first evaluation result of the user and the evaluation results fed back by other users before the user feeds back the first evaluation result, a spot result is obtained, the spot result is fed back to the user participating in the first evaluation, namely, the evaluator refers to the spot result, the information to be evaluated is subjected to the second evaluation, namely, the user gives out the evaluation result in the form of double ticket correction, all second evaluation results are obtained at the expiration time point of the evaluation time T, the collection of R is obtained, the intelligent contract is started to collect and count all the obtained second evaluation results, the result R is obtained, and the result R is sent to the backhand.

Corresponding to the method shown in fig. 1, the embodiment of the present application further provides an evaluation result obtaining apparatus, which is configured to implement the method shown in fig. 1, and the structural schematic diagram of the evaluation result obtaining apparatus is shown in fig. 11, and specifically includes:

a receiving unit 701, configured to receive asset information and assessment mechanism information of a digital asset to be assessed, which are sent by an assessment requester; the evaluation mechanism information at least comprises evaluation time;

a first generating unit 702, configured to generate information to be evaluated according to the asset information and the evaluation mechanism information;

a second generating unit 703, configured to generate an intelligent contract corresponding to the information to be evaluated according to the information to be evaluated;

the first evaluation unit 704 is configured to send the information to be evaluated to each public link node for storage, so that a user in a public link performs a first evaluation on the information to be evaluated through a public link node corresponding to the user, and feedback a first evaluation result of the first evaluation to each public link node;

the second evaluation unit 705 is configured to invoke the intelligent contract after receiving a first evaluation result fed back by a target user, perform statistics on the first evaluation result of the target user and evaluation results fed back by other users before the first evaluation result is fed back by the target user, and feed back the statistics result obtained by the statistics to the target user, so that the target user performs a second evaluation on the digital asset to be evaluated with reference to the statistics result, and feed back a second evaluation result of the second evaluation to each public link node; the target user is any user participating in the first evaluation;

A statistics unit 706, configured to obtain all second evaluation results in the public chain at a deadline point of the evaluation time, and count each second evaluation result to obtain a target statistics result;

and a sending unit 707 configured to send the target statistics to the evaluation requester.

According to the assessment result acquisition device provided by the embodiment of the invention, the public chain generates information to be assessed according to asset information and assessment mechanism information of the data asset to be assessed, generates intelligent contracts corresponding to the assessment information, broadcasts the information to be assessed to all public chain nodes, enables all users in the public chain to carry out first assessment on the information to be assessed, carries out statistics on the first assessment result of the target user and assessment results of other users before the first assessment result is fed back by the target user after receiving the first assessment result fed back by the target user, feeds back the statistical result obtained through statistics to the target user, enables the target user to refer to the statistical result, carries out second assessment on the information to be assessed, feeds back the assessment result of the second assessment, wherein the target user is any user participating in the first assessment, acquires and carries out statistics on all second assessment results at the expiration time point of the assessment time, obtains the target statistical result, and sends the target statistical result to an assessment requester. By the assessment result acquisition device, as all users in the public chain participate in assessment, and the users are participants of investment of the digital asset, the risk change and other factors in the digital asset investment are accurately judged, and the second assessment result is given by the users through reference to the assessment results of other users participating in assessment before the users, the second assessment result is more approximate to the market expectation result, and therefore the assessment demander obtains objective market expectation.

In one embodiment of the present application, based on the foregoing scheme, the first generating unit 702 executes to generate information to be evaluated according to the asset information and the evaluation mechanism information, for:

In one embodiment of the present application, based on the foregoing solution, the evaluation time includes a first evaluation time and a second evaluation time, and the statistics unit 706 performs, at a deadline point of the evaluation time, obtaining all second evaluation results in the public chain, for:

In one embodiment of the present application, based on the foregoing solution, the second evaluation result includes a first result or a second result, and the statistics unit 706 performs statistics on each of the second evaluation results to obtain a target statistical result, which is used for:

In one embodiment of the present application, based on the foregoing solution, the digital asset to be evaluated includes an actual digital asset or a virtual digital asset, and the receiving unit 701 performs receiving asset information of the digital asset to be evaluated sent by the evaluation requester, for:

In one embodiment of the present application, based on the foregoing, the assessment mechanism information further includes a prize distribution mechanism and a prize total.

In one embodiment of the present application, based on the foregoing solution, if the digital asset to be evaluated is a virtual digital asset, the method may further be configured to:

In one embodiment of the present application, based on the foregoing solution, if the digital asset to be evaluated is an actual digital asset, the method may further be configured to:

In one embodiment of the present application, based on the foregoing scheme, it may further be configured to:

In one embodiment of the present application, based on the foregoing solution, the second generating unit 703 executes a smart contract corresponding to the information to be evaluated according to the information to be evaluated, for:

The embodiment of the application also provides a storage medium, which comprises stored instructions, wherein the equipment where the storage medium is located is controlled to execute the method for acquiring the evaluation result when the instructions run.

The embodiment of the present application further provides an electronic device, whose structural schematic diagram is shown in fig. 12, specifically including a memory 801, and one or more instructions 802, where the one or more instructions 802 are stored in the memory 801, and configured to be executed by the one or more processors 803 to perform the following operations by the one or more instructions 802:

and sending the target statistical result to the assessment demander.

It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.

Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present application.

From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the embodiments or some parts of the embodiments of the present application.

The method and apparatus for obtaining an evaluation result, the storage medium and the electronic device provided in the present application are described in detail, and specific examples are applied to illustrate the principles and embodiments of the present application, where the descriptions of the above examples are only used to help understand the method and core idea of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. An evaluation result acquisition method, characterized by comprising:

and sending the target statistical result to the assessment demander.

2. The method of claim 1, wherein generating information to be evaluated based on the asset information and the evaluation mechanism information comprises:

3. The method of claim 1, wherein the evaluation time comprises a first evaluation time and a second evaluation time, wherein the acquiring all second evaluation results in the public chain at a deadline point of the evaluation time comprises:

4. A method according to claim 3, wherein the second assessment results comprise a first result for indicating that the assessment requester should invest in the digital asset to be assessed or a second result for indicating that the assessment requester should not invest in the digital asset to be assessed, and wherein the counting the second assessment results, respectively, results in a target statistical result, comprises:

5. The method of claim 1, wherein the digital asset under evaluation comprises an actual digital asset or a virtual digital asset,

6. The method of claim 5, wherein the assessment mechanism information further comprises a prize delivery mechanism and a prize total.

7. The method of claim 6, wherein if the digital asset under evaluation is a virtual digital asset, after the sending the target statistics to the evaluation requester, further comprising:

and issuing corresponding rewards to be distributed for each target user.

8. The method of claim 6, wherein if the digital asset under evaluation is an actual digital asset, after the sending the target statistics to the evaluation requester, further comprising:

9. The method of claim 1, wherein after the sending the information to be evaluated to each public chain node for storage, further comprising:

if yes, other users are forbidden to evaluate the information to be evaluated.

10. An evaluation result acquisition apparatus, characterized by comprising:

11. The apparatus of claim 10, wherein the first generation unit is configured to generate information to be evaluated based on the asset information and the evaluation mechanism information, for:

12. The apparatus of claim 10, wherein the evaluation time comprises a first evaluation time and a second evaluation time, and wherein the statistics unit is configured to obtain all second evaluation results in the common chain at a deadline point of the evaluation time, for:

13. The apparatus of claim 12, wherein the second evaluation result includes a first result or a second result, the first result being used to indicate that the evaluation requester should invest in the digital asset to be evaluated, the second result being used to indicate that the evaluation requester should not invest in the digital asset to be evaluated, and the statistics unit performs statistics of each of the second evaluation results to obtain a target statistics result, for:

14. The apparatus of claim 10, wherein the digital asset under evaluation comprises an actual digital asset or a virtual digital asset, and wherein the receiving unit is configured to receive asset information of the digital asset under evaluation sent by the evaluation requester for:

15. The apparatus of claim 14, wherein the assessment mechanism information further comprises a prize delivery mechanism and a prize total.

16. The apparatus of claim 15, wherein if the digital asset under evaluation is a virtual digital asset, the apparatus further comprises:

17. The apparatus of claim 15, wherein if the digital asset to be evaluated is an actual digital asset, the apparatus further comprises:

18. The apparatus as recited in claim 10, further comprising:

19. A storage medium comprising stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform the method of obtaining an evaluation result according to any one of claims 1 to 9.

20. An electronic device comprising a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by the one or more processors to perform the method of obtaining an evaluation result as claimed in any one of claims 1 to 9.