CN111861753A

CN111861753A - Evaluation result acquisition method and device, storage medium and electronic equipment

Info

Publication number: CN111861753A
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: 2020-10-30
Anticipated expiration: 2040-07-28
Also published as: CN111861753B

Abstract

The application provides an evaluation result obtaining method and device, a storage medium and electronic equipment, and relates to the technical field of block chains. The method comprises the following steps: broadcasting the information to be evaluated to each public chain node so as to enable each user in the public chain to carry out first evaluation on the information to be evaluated and feed back a first evaluation result, after any user feeds back the first evaluation result, feeding back statistical results obtained by counting the first evaluation result of the user and the evaluation results of other users before the user to the user so as to enable the user to feed back second evaluation results by referring to the statistical results, and sending target statistical results obtained by counting each second evaluation result to an evaluation demander. Because the users in the public chain participate in the investment of the digital assets, the factors such as risk change and the like in the investment can be judged more accurately, and the second evaluation result is given by the users by referring to the statistical result and is more close to the expected result of the market, so that the evaluation demanders can obtain 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 block chain technologies, and in particular, to a method and an apparatus for obtaining an evaluation result, a storage medium, and an electronic device.

Background

The digital assets include real digital assets, which are non-monetary assets owned or controlled by an enterprise or an individual in the form of electronic data, which are held for sale or in the process of production in daily activities, and virtual digital assets, which are non-existent, fictitious digital assets, such as pending patents.

Before investing in digital assets, a user often consults a professional organization, and the professional organization evaluates the digital assets planned to be invested by the user and provides an evaluation result of the digital assets for the user to refer to.

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

Disclosure of Invention

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

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 digital assets to be evaluated, which are sent by an evaluation demander; the evaluation mechanism information includes at least an 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;

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

after receiving a first evaluation result fed back by a target user, calling the intelligent contract, counting the first evaluation result of the target user and evaluation results fed back by other users before the target user feeds back the first evaluation result, and feeding back the statistical result obtained by counting to the target user, so that the target user refers to the statistical result, carries out secondary evaluation on the digital assets to be evaluated, and feeds back the second evaluation result of the secondary evaluation to each public link node; the target user is any user participating in first evaluation;

at the ending time point of the evaluation time, all second evaluation results in the public chain are obtained, and each second evaluation result is counted to obtain a target counting result;

and sending the target statistical result to the evaluation demander.

Optionally, in the method, the 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 information to be evaluated by the initial encryption information to be evaluated and the abstract information of the initial information to be evaluated.

In the above method, optionally, the evaluation time includes a first evaluation time and a second evaluation time, and the obtaining all the second evaluation results in the public chain at the expiration time point of the evaluation time includes:

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

if the evaluation result exists, sending prompt information to the user who does not feed back the second evaluation result according to the second evaluation time; the prompt information is used for prompting a user who 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 acquiring all second evaluation results in the public chain at the cut-off time point of the second evaluation time.

In the foregoing 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 proportion result and a second proportion result; the first proportion result is used for representing the proportion of the first result total to the second evaluation result total, and the second proportion result is used for representing the proportion of the second result total to the second evaluation result total;

and taking the second evaluation result total number, the first result total number, the second result total number, the first proportion condition and the second proportion condition as target statistical results.

In the method, optionally, the digital assets to be evaluated comprise real digital assets or virtual digital assets,

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 demander comprises:

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

if the digital assets to be evaluated are virtual digital assets, the receiving the asset information of the digital assets to be evaluated sent by the evaluation demander comprises the following steps:

and receiving the asset information of the digital assets to be evaluated, which is directly sent to the corresponding public link node by the evaluation demander.

In the above method, optionally, the evaluation mechanism information further includes a reward distribution mechanism and a total amount of rewards.

Optionally, in the method, if the digital asset to be evaluated is a virtual digital asset, after the target statistical result is sent to the evaluation demander, the method further includes:

determining the number of users of a target user; the target user is a user for carrying out secondary evaluation on the information to be evaluated;

determining the reward 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 the rewards to be distributed corresponding to the target users.

Optionally, in the method, if the digital asset to be evaluated is an actual digital asset, after the target statistical result is sent to the evaluation demander, the method further includes:

after the transaction rising and falling results of the assets to be evaluated are published, a plurality of first target users are determined from all the target users, wherein the target users are users who perform secondary 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 results;

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

and if the user feeds back the evaluation result to the public chain without consuming the fuel fee, determining the to-be-distributed reward corresponding to each first target user according to a reward distribution mechanism and a total reward amount contained in the intelligent contract, and issuing the to-be-distributed reward corresponding to each first target user.

Optionally, in the method, after the sending the information to be evaluated to each public link node for storage, the method further includes:

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

and if so, prohibiting other users from evaluating the information to be evaluated.

Optionally, in the method, the generating an intelligent contract corresponding to the information to be evaluated according 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 a data item 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 system comprises a receiving unit, a judging unit and a judging unit, wherein the receiving unit is used for receiving the asset information and the evaluation mechanism information of the digital asset to be evaluated, which are sent by an evaluation demander; the evaluation mechanism information includes at least an evaluation time;

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

the second generating unit is used for generating the 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 the information to be evaluated is evaluated for the first time by a user in a public chain through a corresponding public chain node point, and a 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, and feeding back the statistical result obtained by counting to the target user so that the target user refers to the statistical result, carries out second evaluation on the digital assets to be evaluated, and feeds back the second evaluation result of the second evaluation to each public link node; the target user is any user participating in first evaluation;

the statistical unit is used for acquiring all second evaluation results in the public chain at the ending time point of the evaluation time, and counting each second evaluation result to obtain a target statistical result;

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

Optionally, in the apparatus described above, the first generating unit generates information to be evaluated according to the asset information and the evaluation mechanism information, and is configured to:

In the above apparatus, optionally, the evaluation time includes a first evaluation time and a second evaluation time, and the statistical unit obtains all second evaluation results in the public chain at a deadline point of the evaluation time, 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 second evaluation result to obtain a target statistical result, where the target statistical result is used to:

In 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 an evaluation demander, for:

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

and if the digital assets to be evaluated are actual digital assets, receiving asset information of the digital assets to be evaluated, which is directly sent to the corresponding public link node by the evaluation demander.

The above device may further include a total amount of the awards, and the evaluation mechanism information further includes an award distribution mechanism and an award total.

Optionally, in the apparatus described above, if the digital asset to be evaluated is a virtual digital asset, the apparatus further includes:

a first determining unit, configured to determine a number of users of a target user; the target user is a user for carrying out secondary evaluation on the information to be evaluated;

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

and the first issuing unit is used for issuing the rewards to be distributed corresponding to each target user.

Optionally, the apparatus described above, if the digital asset to be evaluated is an actual digital asset, the apparatus further includes:

a third determining unit, configured to determine, after a transaction fluctuation result of the asset to be evaluated is published, a plurality of first target users from the target users, where the target users are users who perform second evaluation on the information to be evaluated, and a second evaluation result of each first target user is consistent with the transaction fluctuation result;

the second issuing unit is used for determining the to-be-issued rewards corresponding to each first target user and determining the to-be-issued rewards corresponding to each second target user according to the reward allocation mechanism and the total reward amount contained in the intelligent contract and issuing the to-be-issued rewards corresponding to each first target user and each second target user if the user feeds back the evaluation result to the public chain for consuming the fuel fee; the second target user is other target users except for a first target user in all the target users, the reward to be distributed of the first target user is different from the reward to be distributed of the second target user, and the evaluation result comprises a first evaluation result and a second evaluation result;

and the third issuing unit is used for determining the to-be-issued rewards corresponding to each first target user according to the reward allocation mechanism and the total reward amount contained in the intelligent contract and issuing the corresponding to-be-issued rewards to each first target user if the evaluation result is fed back to the public chain by the user without consuming fuel cost.

The above apparatus, 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 in real time;

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

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

A storage medium, the storage medium including stored instructions, wherein when the instructions are executed, a device in which the storage medium is located is controlled to execute the above-mentioned evaluation result acquisition method.

An electronic device includes a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to perform the above evaluation result acquisition method.

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

the application provides an evaluation result obtaining method and device, a storage medium and an electronic device, wherein the method comprises the following steps: the public chain generates information to be evaluated and an intelligent contract corresponding to the evaluation information according to the asset information and the evaluation mechanism information of the data assets to be evaluated, broadcasts the information to be evaluated to each public chain node, so that each user in the public chain carries out first evaluation on the information to be evaluated, counts the first evaluation result of a target user and the evaluation results of other users before the target user feeds back the first evaluation result after receiving the first evaluation result fed back by the target user, feeds back the statistical result obtained by statistics to the target user, so that the target user refers to the statistical result, carries out second evaluation on the information to be evaluated and feeds back the evaluation result of the second evaluation, wherein the target user is any user participating in the first evaluation, and obtains and counts each second evaluation result at the ending time point of the evaluation time, and obtaining a target statistical result, and sending the target statistical result to the evaluation demander. Because the users participating in the evaluation are all users in the public chain and the users are participants of the investment of the digital assets, the factors such as risk change in the investment of the digital assets can be judged more accurately, 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, so that the second evaluation result is closer to the market expectation result, and the evaluation demanders obtain 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 needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a flowchart of a method for obtaining an evaluation result according to 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 transfer process provided herein;

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

fig. 5 is a flowchart of another method of the evaluation result obtaining method provided in the present application;

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

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

fig. 8 is a flowchart of another method of the evaluation result obtaining method provided in the present application;

fig. 9 is a flowchart of another method of the evaluation result obtaining method provided in the present application;

FIG. 10 is a diagram illustrating another example of an evaluation result obtaining 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 technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

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

s101, receiving asset information and evaluation mechanism information of the digital assets to be evaluated, which are sent by an evaluation demander.

The public chain receives the asset information and the 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 includes evaluation time, and optionally, the evaluation mechanism information may further include an award distribution mechanism, an award total, account information of the evaluation demander, and the like.

The digital assets to be evaluated comprise actual digital assets or virtual digital assets, the actual digital assets are generally traded through a alliance chain, in the alliance chain, a holder of original assets has financing requirements, the original assets are sent to organizations in the alliance chain, the organizations comprise a trading platform, a digital asset registration platform, a digital asset evaluation structure, a digital asset authority confirming organization and the like, the actual digital assets are created, the holder lists the actual digital assets on the trading platform, a user can obtain the listing information of the actual digital assets through the trading platform, investment willingness is generated, and then 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 an organization node, and the organization node performs digital transformation on the original asset according to the asset information of the original asset to create an actual digital asset corresponding to the original asset. The method comprises the steps that a fronthand node carries out listing on actual digital assets, a backend node obtains listing information of the actual digital assets, an intermediate component obtains the listing information of the actual digital assets from the backend node and carries out data processing on the listing information of the actual digital assets to obtain asset information of the actual digital assets, wherein the asset information of the actual digital assets comprises the listing information or index information corresponding to the listing information, the asset information of the actual digital assets is sent to all public link nodes to be evaluated, and evaluation results fed back by all the public link nodes are sent to the backend node. Referring to fig. 3, the process of transferring asset information of an actual digital asset a from a federation chain to a public chain includes: the league link node of the successor acquires the listing information of the A from the league link, the listing information of the A is transmitted to the intermediate component, the intermediate component performs data processing on the listing information of the A to obtain the asset information of the A, optionally, the listing information of the A is encrypted and decrypted, the asset information of the A is sent to the public link node of the successor, the public link node of the successor generates evaluation demand information of the A, and the evaluation demand information of the A is broadcast to all nodes of all public links. The coalition link points of the backhoe and the backhoe nodes mentioned above are the same node, the backhoe is the evaluation demander mentioned in the embodiment of the present application, and the forehand is the holder of the actual digital asset.

Referring to fig. 4, the creation process of the actual digital asset includes registration and digitization of the original asset, ownership confirmation, risk coverage capability assessment, valuation, and the like. The original asset holder node sends the asset information of the original asset to the trading platform node, and the trading platform node, the digital asset registration mechanism node, the digital asset evaluation mechanism node and the right-confirming mechanism node are configured to perform digital transformation on the original asset, so that an actual digital asset A corresponding to the original asset is created. After the creation of the actual digital asset A is completed, the actual digital asset A can enter into a transaction, and the actual digital asset A is circulated to a transaction node in a alliance chain, and then is transacted with a predecessor node at the transaction node.

If the digital assets to be evaluated are actual digital assets, receiving asset information of the actual digital assets sent by an evaluation demander, wherein the asset information comprises:

and receiving the asset information of the digital assets to be evaluated, which is sent to the corresponding public link node by the evaluation 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, the actual digital asset needs to be sent to the public link node of the evaluation demander through the intermediate component because the actual digital asset is listed through the trading platform of the alliance chain. It should be noted that, the information interaction between the federation chain and the public chain realized through the intermediate component is as described above, and is not described herein again.

Optionally, the intermediate component may perform data processing on the asset information acquired from the federation chain, where the data processing includes, but is not limited to, encryption processing or data desensitization processing; and sending the asset information after the 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 listing information of the actual digital asset or index information corresponding to the listing information, that is, the asset information of the actual digital asset received by the public link may be listing information of the actual digital asset in a alliance chain, or related index information may be 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 assets to be evaluated are virtual digital assets, receiving asset information of the actual digital assets sent by an evaluation demander, wherein the asset information comprises the following steps:

In the method provided by the embodiment of the application, if the digital assets to be evaluated are virtual digital assets, namely the fictitious digital assets of the evaluation demander, the asset information of the digital assets to be evaluated, which is sent by the evaluation demander through the corresponding public link node of the evaluation demander, is directly received.

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

Referring to fig. 5, generating the information to be evaluated according to the asset information and the 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 the initial information to be evaluated according to a private key of an evaluation demander to obtain the initial encrypted information to be evaluated;

s203, the initial to-be-evaluated encrypted information and the abstract information of the initial to-be-evaluated information form to-be-evaluated information.

In the method provided by the embodiment of the application, the initial information to be evaluated may be a quadruple < asset information of a digital asset to be evaluated, account information of an evaluation demander, evaluation time, and award total >, where the evaluation time includes a first evaluation time and a second evaluation time, the first evaluation time is used for indicating an expiration time point for counting a second evaluation result, and the second evaluation time is used for indicating an expiration time 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: the asset type, the total amount of the reward, and the evaluation time of the digital asset to be evaluated.

In the method provided by the embodiment of the application, the 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, the information to be evaluated includes: and the summary information corresponding to the initial information to be evaluated and the initial encryption information to be evaluated.

And 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 evaluation time, a reward mechanism, and a reward total amount, 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 amount, specifically, a pre-constructed intelligent contract template is called according to the information to be evaluated to generate an intelligent contract corresponding to the information to be evaluated, that is, the evaluation time, the reward mechanism, and the reward total amount are written into the pre-constructed intelligent contract template to generate the intelligent contract corresponding to the information to be evaluated. The intelligent contract is used for sending rewards to users participating in evaluation and counting evaluation results when the evaluation time is up.

The process of generating the intelligent contract corresponding to the information to be evaluated according to the information to be evaluated specifically comprises the following steps:

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

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.

According to the method provided by the embodiment of the application, an intelligent contract template is constructed in advance, the intelligent contract template comprises a plurality of key fields, and the data items corresponding to the key fields are 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 on the digital asset a, the predicted answer settings are yes and no, the evaluation time T, and the total amount of the award. Wherein, the information of A is the asset information of A, "yes" corresponds to the proposal of warehousing and holding, namely, the proposal of evaluating the demander to invest, "no" corresponds to the non-proposal of warehousing and holding, namely, the non-proposal of evaluating the demander to invest, and the evaluation time T comprises a first evaluation time T1 and a second evaluation time T2.

And S104, sending the information to be evaluated to each public chain node for storage, so that the user in the public chain can carry out first evaluation on the information to be evaluated through the corresponding public chain node, 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, information to be evaluated is uplink-linked, and the information to be evaluated is broadcast to each public link node.

The user in the public chain can obtain the information to be evaluated through the public chain node of the user, that is, obtain the summary information and the initial encrypted information to be evaluated corresponding to the initial information to be evaluated, and feed back a first evaluation result of first evaluation of the information to be evaluated to each public chain node, where the first evaluation result is used to represent an evaluation opinion given by the user participating in the evaluation to perform the first evaluation, and it needs to be stated that the evaluation result includes a "yes" or "no" result.

Optionally, the user participating in the first evaluation writes the first evaluation result into the quadruplet < asset information of the digital asset to be evaluated, the account information of the demander, the evaluation time, and the total award amount >, to obtain the quintuple < asset information of the digital asset to be evaluated, the account information of the demander, the evaluation time, the total award amount, and the first evaluation result >, encrypts the quintuple with the private key of the user, and sends the encrypted quintuple to the public link node of the user. The public chain link node receives the quintuple, carries out uplink on the quintuple and broadcasts the quintuple to each public chain link node.

And S105, after receiving the first evaluation result fed back by the target user, calling an intelligent contract, counting the first evaluation result of the target user and the evaluation results fed back by other users before the first evaluation result is fed back by the target user, and feeding back the statistical result obtained by counting to the target user, so that the target user refers to the statistical result, carries out secondary evaluation on the digital assets to be evaluated, and feeds back the second evaluation result of the secondary evaluation to each public link node, wherein the target user is any user participating in the primary evaluation.

After receiving a first evaluation result fed back by a target user, invoking an 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 to obtain a statistical result, wherein the target user is any one user participating in the first evaluation, that is, after the any one user participating in the first evaluation feeds back the first evaluation result, the public link invokes the intelligent contract to count the first evaluation result fed back currently and the evaluation results fed back by other users before the first evaluation result fed back currently to obtain the statistical 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 who 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 only feeds back 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, and the second evaluation result includes a first result and a second result, optionally, the first result is used to indicate that the evaluation demander should invest in the digital asset to be evaluated, the second result is used to indicate that the evaluation demander should not invest in the digital asset to be evaluated, and optionally, the first result is yes, and the second result is no.

The process of performing statistics on the first evaluation result of the target user and the evaluation results fed back by other users before the first evaluation result is fed back by the target user specifically includes:

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 result of the target user and the evaluation results fed back by other users before the first evaluation result is fed back by the target user; wherein 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 proportion result and an initial second proportion result; the initial first proportion result is used for representing the proportion condition of the initial first result total number to the evaluation total number, and the initial second proportion result total number is used for representing the proportion condition of the initial second result total number to the evaluation result total number.

In 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 result of the target user and the evaluation results fed back by other users before the first evaluation result is fed back by the target user; calculating an initial first proportion result and an initial second proportion result according to the total number of the evaluation results, the initial first result and the initial second result, wherein the initial first proportion result is used for representing the proportion of the initial first result and the total number of the evaluation results, namely the initial first proportion result is the initial first result/the total number of the evaluation results; the initial second proportion result is used for characterizing the proportion of the initial second result total number to the evaluation result total number, that is, the initial second proportion result is equal to the initial second result total number/the evaluation result total number. For example, the total number of the evaluation results is 51, that is, 1000 users participate in the evaluation, wherein the initial first result total is 31, the initial second result total is 20, the initial first proportion result is 31/51, and the initial second proportion case is 20/51.

In the method provided by the embodiment of the application, statistics is performed on the first evaluation result of the target user and the evaluation results fed back by other users before the first evaluation result is fed back by the target user, and the obtained statistical results include an evaluation result total number, an initial first result total number, an initial second result total number, an initial first proportion result and an initial second proportion result.

The statistical result is sent to the target user, specifically, the statistical result may be written into the quintuple < the asset information of the digital asset to be evaluated, the account information of the evaluation demander, the evaluation time, the award total amount, and the first evaluation result > corresponding to the target user, so as to obtain the octave < the asset information of the digital asset to be evaluated, the account information of the evaluation demander, the evaluation time, the award total amount, the first evaluation result, the total number of the evaluation results, the percentage results, and the total number of results > where the percentage results include an initial first percentage result and an initial second percentage result, and the total number of results includes an initial first result total and an initial second result total.

And sending the octave < the asset information of the digital assets to be evaluated, the account information of the evaluation demander, the evaluation time, the total award amount, the first evaluation result, the total evaluation result, the proportion result and the total result > 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, select to adjust or maintain the original opinion, perform the 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, and whether the evaluation results of the target user evaluated twice are the same or not, 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 closer to the market expectation.

Optionally, the target user writes the second evaluation result into the octave < asset information of the digital asset to be evaluated, account information of the evaluation demander, evaluation time, total award amount, first evaluation result, total proportion result, and total result >, to obtain the nine-tuple < asset information of the digital asset to be evaluated, account information of the evaluation demander, evaluation time, total award amount, first evaluation result, total proportion result, total result, and second evaluation result >, and feeds the nine-tuple back to the public chain through the public chain link point of the target user.

Optionally, the nine-tuple may be encrypted by a private key of the target user, and the nine-tuple encrypted by the private key is broadcast to each public link node.

And S106, at the ending 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.

The process of obtaining the second evaluation result in the common chain at the expiration time point of the evaluation time specifically includes:

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

if the evaluation result exists, sending prompt information to the user who does not feed back the second evaluation result according to the second evaluation time; the prompt information is used for prompting a user who 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;

In the method provided by the embodiment of the application, at the deadline point of the first evaluation time, whether a situation that the user participating in the first evaluation does not feed back the second evaluation result exists is judged, if the situation exists, prompt information is sent to the user not feeding back the second evaluation result according to the second evaluation time, the user not feeding back the second evaluation result is prompted to feed back the second evaluation result before the deadline point of the second evaluation time, and all the second evaluation results in the public chain are obtained at the deadline 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 without waiting for the deadline point of the second evaluation time to obtain, and the timeliness of obtaining the second evaluation results is improved.

It should be noted that the second evaluation result includes a first result and a second result, and the obtained second evaluation results are counted, that is, the total number of the second evaluation results, the total number of the first results, the total number of the second results, the first proportion result, and the second proportion result are counted to obtain the target statistical result.

The process of counting each second evaluation result to obtain a target statistical 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 the second evaluation results.

S302, calculating a first proportion result and a second proportion result; the first proportion result is used for representing the proportion of the first result total and the second evaluation result total, and the second proportion result is used for representing the proportion of the second result total and the second evaluation result total.

And S303, taking the total number of the second evaluation results, the total number of the first results, the total number of the second results, the first proportion condition and the second proportion condition as target statistical results.

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

In the method provided by the embodiment of the application, the total number of the second evaluation results, the total number of the first results and the total number of the second results are calculated according to the second evaluation results of each user; calculating a first proportion result and a second proportion result according to the second evaluation result total number, the first result total number and the second result total number, wherein the first proportion result is used for representing the proportion situation of the first result total number and the second evaluation result total number, namely the first proportion result is the first result total number/the second evaluation result total number; the second proportion result is used for characterizing the proportion of the second result total to the second evaluation result total, that is, the second proportion result is the second result total/the evaluation result total.

And taking the second evaluation result total number, the first result total number, the second result total number, the first proportion situation and the second proportion situation obtained by calculation as target statistical results.

And S107, sending the target statistical result to an evaluation demander.

And sending the target statistical result obtained by statistics to an evaluation demander so that the evaluation demander can make a decision on the evaluation digital asset by referring to the target statistical result.

In the evaluation result obtaining method provided in the embodiment of the application, the public chain generates the information to be evaluated and generates an intelligent contract corresponding to the evaluation information according to the asset information and the evaluation mechanism information of the data asset to be evaluated, broadcasts the information to be evaluated to each public chain node, so that each user in the public chain evaluates the information to be evaluated for the first time, and after receiving the first evaluation result fed back by the target user, counts the first evaluation result of the target user and the evaluation results of other users before the target user feeds back the first evaluation result, feeds back the statistical result obtained by statistics to the target user, so that the target user refers to the statistical result, evaluates the information to be evaluated for the second time, and feeds back the evaluation result obtained by the second evaluation, wherein the target user is any one user participating in the first evaluation, and at the ending time point of the evaluation time, obtaining and counting each second evaluation result to obtain a target statistical result, and sending the target statistical result to the evaluation demander. By applying the evaluation result obtaining method provided by the embodiment of the application, because the users participating in the evaluation are all users in a public chain and the users are participants of investment of digital assets, the factors such as risk change in the investment of the digital assets can be judged more accurately, and the second evaluation result is given by referring to the evaluation results of other users participating in the evaluation before the user, so that the second evaluation result is more close to the market expectation result, and the evaluation demanders obtain objective market expectation.

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

s401, determining the number of users of a target user; the target user is a user for evaluating the information to be evaluated for the second time.

And determining the number of users of the target user, wherein the target user is the user for carrying out secondary evaluation on the information to be evaluated. Optionally, the target user is determined according to a reward distribution mechanism included in the intelligent contract, and then the number of users of the target user is counted. Wherein the reward distribution mechanism is used for indicating the object of the reward distribution and the proportion of the distribution.

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 the reward to be distributed corresponding to each target user according to the reward distribution mechanism and the total reward amount contained in the intelligent contract.

And determining the to-be-distributed rewards corresponding to each target user according to the reward distribution mechanism and the total reward amount contained in the intelligent contract, optionally, dividing the total reward amount by the number of users of the target users to obtain the to-be-distributed rewards corresponding to each target user, wherein the to-be-distributed rewards corresponding to each target user can be the same.

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

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

And issuing the to-be-distributed rewards 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 encouraged to participate in the evaluation by distributing the rewards for 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 statistical result is sent to the evaluation demander in step S108 disclosed in fig. 1 in the embodiment of the present application, the flowchart may further include the following steps as shown in fig. 9:

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

If the assets to be evaluated are actual digital assets, after transaction fluctuation results of the digital assets to be evaluated are published, first target users are determined from all the target users, wherein the target users are users who perform second evaluation on the information to be evaluated, the first target users are users whose corresponding second evaluation results are consistent with the transaction fluctuation results, namely the second evaluation results of each first target user are consistent with the transaction fluctuation results.

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

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

Determining the reward to be distributed corresponding to each first target user and determining the reward 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, wherein the second target users are other target users except the first target user, a second evaluation result corresponding to each second target user is different from a transaction fluctuation result, the reward to be distributed corresponding to the first target user is different from the reward to be distributed corresponding to the second target user, the reward to be distributed corresponding to the first target user is larger than the reward to be distributed corresponding to the second target user, and cost fees are contained in the rewards corresponding to each first target user and each second target user.

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

And issuing the rewards to be distributed corresponding to 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 to-be-distributed reward corresponding to each first target user according to the reward distribution mechanism and the total reward amount contained in the intelligent contract, and issuing the to-be-distributed reward corresponding to each first target user.

And if the user feeds the evaluation result back to the shared chain without consuming GAS (GAS) fee, sending the reward only for the user making correct evaluation, namely only issuing the reward for the first target user, wherein the first target user is a user participating in the second evaluation, and the second evaluation result is consistent with the transaction fluctuation result.

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

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

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

In the method provided by the embodiment of the application, when the number of the evaluated users is too large, the number of rewards available to each user who participates in the evaluation is too small, or when the GAS fee needs to be paid in an uplink, the number of the evaluated users is too large, the GAS fee is too large, and even the GAS fee exceeds the total amount of the rewards, so that the number of the users who participate in the evaluation needs to be limited, a preset number of the evaluated users can be set in a reward distribution mechanism, the total number of the users who participate in the evaluation is acquired and judged in real time, and when the total number of the users who participate in the evaluation exceeds the preset number of the evaluated users, other users are prohibited from evaluating the information to be evaluated. Or setting parameters in the reward distribution mechanism, and defining the proportion of GAS in the reward total amount, wherein if the upper limit of the GAS in the reward total amount cannot exceed 30%, the number of predicted persons is limited, and the following predicted persons can only read information but cannot give an evaluation result.

Referring to fig. 10, an example of the evaluation result acquisition method according to the embodiment of the present application is described as follows:

the middle component sends the asset information of the actual digital assets 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 evaluation demander, the back-hand, namely the evaluation demander, logs in the public chain, the asset information of the actual digital assets is packaged through the public chain node, the 'predicted demand', the reward mechanism and the evaluation time T are written into the intelligent contract, the public chain node of the back-hand acquires the asset information of the actual digital assets, the information to be evaluated is generated based on the asset information, the reward mechanism and the evaluation time T, the information to be evaluated is linked and broadcasted to each public chain node, the users in the public chain acquire the information to be evaluated through the public chain nodes of the users, the evaluation result of the first evaluation of the information to be evaluated is fed back to the public chain, and after each user participating in the first evaluation feeds back the first evaluation result, calling an intelligent contract to count a first evaluation result of the user and evaluation results fed back by other users before the user feeds back the first evaluation result to obtain an on-demand result, feeding the on-demand result back to the user participating in the first evaluation, wherein the user participating in the first evaluation, namely an evaluator refers to the on-demand result, carries out second evaluation on information to be evaluated, namely the user gives the evaluation result in a double-ticket correction mode, obtains all second evaluation results at the deadline time point of the evaluation time T to obtain a set of R, starts the intelligent contract to summarize and count all the obtained second evaluation results to obtain a result R, and sends the result R to a back-hand.

Corresponding to the method illustrated in fig. 1, an embodiment of the present application further provides an evaluation result obtaining apparatus, which is used for implementing the method illustrated in fig. 1 specifically, and a schematic structural diagram of the apparatus is illustrated in fig. 11, and specifically includes:

a receiving unit 701, configured to receive asset information and evaluation mechanism information of a digital asset to be evaluated, which are sent by an evaluation demander; the evaluation mechanism information includes at least an evaluation time;

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

the second generating unit 703 is 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 evaluates the information to be evaluated for the first time through a corresponding public link node point of the user, and feeds back a first evaluation result of the first evaluation to each public link node;

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

a counting unit 706, configured to obtain all second evaluation results in the public chain at a time point when the evaluation time expires, and count each second evaluation result to obtain a target statistical result;

a sending unit 707, configured to send the target statistic result to the evaluation demander.

The evaluation result obtaining device provided in the embodiment of the application, wherein the public chain generates the information to be evaluated and generates an intelligent contract corresponding to the evaluation information according to the asset information and the evaluation mechanism information of the data asset to be evaluated, broadcasts the information to be evaluated to each public chain node, so that each user in the public chain evaluates the information to be evaluated for the first time, and after receiving the first evaluation result fed back by the target user, counts the first evaluation result of the target user and the evaluation results of other users before the target user feeds back the first evaluation result, feeds back the statistical result obtained by statistics to the target user, so that the target user refers to the statistical result, evaluates the information to be evaluated for the second time, and feeds back the evaluation result obtained by the second evaluation, wherein the target user is any user participating in the first evaluation, and at the ending time point of the evaluation time, obtaining and counting each second evaluation result to obtain a target statistical result, and sending the target statistical result to the evaluation demander. By applying the evaluation result acquisition device provided by the embodiment of the application, because the users participating in the evaluation are all users in a public chain and the users are participants of investment of digital assets, the factors such as risk change in the investment of the digital assets can be judged more accurately, and the second evaluation result is given by referring to the evaluation results of other users participating in the evaluation before the user, so that the second evaluation result is more close to the market expectation result, and the evaluation demanders obtain objective market expectation.

In an embodiment of the present application, based on the foregoing solution, the first generating unit 702 performs to generate information to be evaluated according to the asset information and the evaluation mechanism information, so as to:

In an 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 statistical unit 706 performs, at a deadline point of the evaluation time, obtaining all second evaluation results in the public chain, for:

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

In an 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 an evaluation demander, so as to:

In one embodiment of the present application, based on the above scheme, the evaluation mechanism information further includes a reward distribution mechanism and a reward total.

In an 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 include:

In an 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 include:

In an embodiment of the present application, based on the foregoing scheme, the method may further include:

In an embodiment of the present application, based on the foregoing scheme, the second generating unit 703 executes, according to the information to be evaluated, an intelligent contract corresponding to the information to be evaluated, and is configured to:

The embodiment of the application also provides a storage medium, which comprises a stored instruction, wherein when the instruction runs, the device where the storage medium is located is controlled to execute the evaluation result acquisition method.

The present embodiment further provides an electronic device, which has a schematic structural diagram as shown in fig. 12, and specifically includes 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:

and sending the target statistical result to the evaluation demander.

It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented 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., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The above detailed description is provided for an evaluation result obtaining method and apparatus, a storage medium, and an electronic device, and a specific example is applied in the description to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. An evaluation result acquisition method, comprising:

and sending the target statistical result to the evaluation demander.

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

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

4. The method of claim 3, wherein the second evaluation result comprises a first result or a second result, and wherein the counting each second evaluation result to obtain a target statistical result comprises:

5. The method of claim 1, wherein the digital assets to be evaluated comprise real digital assets or virtual digital assets,

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

7. The method of claim 6, wherein if the digital asset to be evaluated is a virtual digital asset, after sending the target statistic to the evaluation demander, further comprising:

and issuing the rewards to be distributed corresponding to the target users.

8. The method of claim 6, wherein if the digital asset to be evaluated is an actual digital asset, after sending the target statistic to the evaluation demander, further comprising:

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

10. An evaluation result acquisition apparatus characterized by comprising:

11. The apparatus according to claim 10, wherein the first generating unit executes generating information to be evaluated based on the asset information and the evaluation mechanism information, and is configured to:

12. The apparatus according to claim 10, wherein the evaluation time comprises a first evaluation time and a second evaluation time, and the statistical unit performs, at a deadline time point of the evaluation time, obtaining all second evaluation results in the public chain for:

13. The apparatus according to claim 12, wherein the second evaluation result comprises a first result or a second result, and the statistics unit performs statistics on each second evaluation result to obtain a target statistical result, and is configured to:

14. The apparatus of claim 10, wherein the digital asset to be evaluated comprises an actual digital asset or a virtual digital asset, and the receiving unit performs receiving asset information of the digital asset to be evaluated sent by an evaluation demander, for:

15. The apparatus of claim 14, wherein the evaluation mechanism information further comprises a reward allocation mechanism and a reward total.

16. The apparatus of claim 15, wherein if the digital asset to be evaluated 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 of claim 10, further comprising:

19. A storage medium, characterized in that the storage medium comprises stored instructions, wherein when the instructions are executed, the device on which the storage medium is located is controlled to execute the evaluation result acquisition method 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 evaluation result acquisition method according to any one of claims 1 to 9.