CN114119056A - Decentralized multi-dimensional evaluation method and system - Google Patents
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Abstract
The invention discloses a decentralized multi-dimensional evaluation method and system. The method comprises the steps of dividing an object to be evaluated into a plurality of key evaluation links according to specific logic, setting related evaluation activities and participants for each evaluation link, deploying an intelligent contract on a block chain network for recording certification data autonomously submitted by different participating main bodies/roles, and setting a star with different brightness for each key link by a system to represent the completion state of data provided by the evaluation link activities. By using the method and the system, the credible description of the evaluation object is automatically and intuitively formed in the environment of going to the center and participating in multiple subjects, the credibility of the description information of the evaluation object can be greatly improved, the technical guarantee is provided for consumers to identify the real credible evaluation object with clear source, and the method and the system can be widely applied to various application scenes such as product/service/enterprise traceability, quality assurance, brand creation and the like.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to the field of evaluation of intelligent contract application, products/projects/services/organizations of block chains.
Background
For the evaluation of products/items/services or economic subjects, data collection from different angles is often needed to evaluate the products/items/services relatively objectively and accurately, and the traditional method is based on the subsequent data collection and centralized evaluation, and the evaluation method has the following problems: (1) data collection is difficult, and therefore data falsification is often forced to advance relevant evaluations in reality; (2) the data is often stored in a centralized database mode, and a system management party can modify the data more easily, so that the related data of the object to be evaluated lacks the public credibility; (3) a plurality of information islands are finally formed by the centralized databases which are respectively used in the multi-party evaluation, so that the information sharing and the whole-course tracing of the object to be evaluated are difficult to realize; (4) the centralized database and the service platform are easy to be attacked by the network when running in the internet, have certain potential safety hazards and are difficult to provide highly available sustainable services.
Disclosure of Invention
In view of the above, the invention designs a decentralized multi-dimensional evaluation method and system, by deploying an intelligent contract for multi-dimensional evaluation information, management information recording and control on a block chain, storing an evaluation activity description information template and evaluation activity data in a distributed file system, and storing an association relationship between an evaluation activity code and a description information address stored in the distributed file system in the intelligent contract, the storage and the whole-course traceability of the evaluation activity data and the traceability data can be realized under a completely decentralized operating environment, thereby solving the problems of public credibility, information isolated island, safe and reliable operation and the like of the evaluation activity data storage. In order to achieve the purpose, the technical scheme of the invention is realized as follows:
as shown in fig. 1, the multidimensional evaluation method includes the following steps:
firstly, dividing an object to be evaluated into a plurality of key links according to specific logic according to the characteristics of the object to be evaluated;
secondly, dividing the evaluation of each key link into a plurality of evaluation activities;
thirdly, deploying an intelligent contract in the blockchain network, wherein the intelligent contract is used for storing the certification data of the evaluation activities related to the evaluation object;
fourthly, assigning the certification data submission right of each link evaluation activity to related participants;
fifthly, submitting the signed result of the own block chain account to an intelligent contract for storage by the participator according to the certification data of the evaluation activity;
and sixthly, the user scans the two-dimensional code of the evaluation object through the terminal, and the terminal automatically displays the data submission completion degree state of the evaluation activity related to each link of the evaluation object by using a series of star maps with different colors or brightness.
As shown in fig. 2, the specific logic of the evaluation object evaluates the object for the product/service class, and the evaluation key links include:
(1) the environment/qualification of the place of origin;
(2) a production process;
(3) checking and detecting;
(4) warehousing logistics;
(5) wholesale;
(6) selling/retailing;
(7) and (4) user evaluation.
As shown in fig. 3, the evaluation key link of the specific logic of the evaluation object for the business entity class evaluation object includes:
(1) organizing qualifications/environments/governance;
(2) a product/service;
(3) a team;
(4) a revenue-type transaction;
(5) expenditure-type transactions (including external and internal expenditures);
(6) a financial report;
(7) and (5) customer evaluation.
The certification data submitted by the aforementioned evaluation activities requires:
(1) the certification data type can be various file formats such as characters, pictures, voice, video and the like;
(2) the commit data must be signed by the submitter using its blockchain account;
(3) the intelligent contract identifies the identity of the user submitting the certification data, and the identity is legal when the requirement of authority is met;
(4) the block time when the transaction was submitted by the data is recorded as the data submission time:
(5) the data storage master file is stored in the distributed file system, and the hash code of the data is stored in the intelligent contract.
The star map brightness calculation method for representing the data completion state of each link comprises the following steps:
(1) setting the number of activities of the link as n;
(2) star map page detection intelligent contract completion activity data m in the link;
(3) and calculating the brightness of the star map of the link as follows: luminance (i) ═ total luminance × m/n;
(4) setting the star map display brightness of the link as brightness (i);
as shown in fig. 4, the decentralized multidimensional evaluation system includes the following components:
(1) blockchain networks (alliance or public chains), distributed file systems (IPFS or ethernet Swarm);
(2) storing an intelligent contract of the multidimensional evaluation information hash code;
(3) evaluating a description template of the information;
(4) the method comprises the steps of establishing evaluation information, collecting field data, uploading and managing a client (web/app/applet);
(5) rating information scanning, querying terminals (app/WeChat/web client).
As shown in fig. 5, the intelligent contract in the evaluation system is designed with a multi-level hierarchical administrator authority control function, and its hierarchical control rule includes:
(1) the intelligent contract creator is a super administrator and can authorize a general administrator, and the authorization mode of the intelligent contract creator is such as managers [ administrator accounts ] ═ true;
(2) an ordinary administrator can set an operator for the activity creation and information acquisition of a link, and an authorization mode of the operator such as operators [ item state type ] [ operator account ] (true) is identified;
(3) when the operator creates and collects data of each activity state, the authority of the operator is checked, and if the authority is true, the creation and data processing of the activity state can be executed.
As shown in fig. 4 and 5, the data acquisition client of the operator in the evaluation system will automatically query the operation authority of the operator corresponding to the account, and automatically load the data acquisition template of the corresponding authority.
Drawings
FIG. 1 is a main flow chart of a decentralized multi-dimensional evaluation method
FIG. 2 is a block diagram of product/service evaluation
FIG. 3 is a block diagram of evaluation links of evaluation objects of business entity classes
FIG. 4 is a block diagram of a decentralized multi-dimensional evaluation system
FIG. 5 is a decentralized multi-dimensional evaluation intelligent contract composition diagram
FIG. 6 CNG agricultural chain seven stars evaluation model
Detailed Description
Hereinafter, the preferable embodiment of the method and the system is described by taking the example of constructing a multi-party evaluation system for agricultural products, namely a CNG agricultural chain seven-star evaluation model based on the method.
As shown in fig. 6, an intelligent contract for multi-party evaluation of agricultural products is designed according to fig. 6 based on an industry chain CNG agricultural chain oriented to agriculture as a bottom chain platform, and is deployed on the block chain platform, a distributed file storage system is constructed based on an SWARM technical architecture, evaluation links of agricultural products are set as multiple links according to the whole process of production and circulation of agricultural products, data acquisition points and a product identification description frame are defined for each link, a mobile phone client app is designed for data acquisition, and a two-dimensional code printer is deployed for printing identification of agricultural products.
The method is divided into seven value links according to the industrial value chain of agricultural products, wherein the seven links are respectively environment resources, production and processing, inspection and quarantine, storage and logistics, wholesale agency, retail processing and consumption users, each link is represented by a Beidou seven-star map, and the completeness of data of each link is identified by star brightness of each link. Each link is composed of one or more key value-added activities, the behaviors (or results) of the value-added activities of the links are mapped to a block chain to form data, and a non-falsifiable data chain is formed through a 'time stamp'.
In a CNG agricultural chain industrial data chain, each link participant uploads basic, production and operation data to form corresponding link data. Qualitative/quantitative evaluation analysis provided by the CNG agricultural chain seven-star evaluation model can truly present data of all links of the whole industrial chain, and consumers and users can be used as final evaluation and beneficiaries in the industrial data chain.
The CNG agricultural chain seven-star evaluation model is used as a value transfer tool, industrial data chain value information is delivered to a user and a consumer for judgment, the consumer participates in the CNG agricultural chain incentive model by judging 'doing work', and the evidence-based incentive promotes a customer installation terminal to apply and establishes an account number to participate in the CNG agricultural chain incentive model.
According to the CNG seven-star evaluation model, at each data acquisition point of an article, an operator automatically acquires a data acquisition template of the acquisition point through a data acquisition app, creates an article identifier and fills in related data, uploads and stores the data of the acquisition point into a distributed file system sweep and a block chain intelligent contract, clicks a print label, prints and outputs a two-dimensional code article label, and the article can be uniquely identified through the two-dimensional code label after the two-dimensional code label is bound with the article. The user obtains the data of the article to be inquired, the two-dimension code can be scanned through the mobile phone, the intelligent contract and the distributed file system storage information corresponding to the article can be automatically linked, the system automatically presents the data acquisition and uploading state of each link, and the agricultural product traceability information inquiry is realized.
The above description is only an illustration of the embodiments of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
In summary, the invention discloses a decentralized multi-dimensional evaluation method and system. The method comprises the steps of dividing an object to be evaluated into a plurality of key evaluation links according to specific logic, setting related evaluation activities and participants for each evaluation link, deploying an intelligent contract on a block chain network for recording certification data autonomously submitted by different participating main bodies/roles, and setting a star with different brightness for each key link by a system to represent the completion state of data provided by the evaluation link activities. By using the method and the system, the credible description of the evaluation object is automatically and intuitively formed in the environment of going to the center and participating in multiple subjects, the credibility of the description information of the evaluation object can be greatly improved, the technical guarantee is provided for consumers to identify the real credible evaluation object with clear source, and the method and the system can be widely applied to various application scenes such as product/service/enterprise traceability, quality assurance, brand creation and the like.
Claims (8)
1. A decentralized multi-dimensional evaluation method is characterized by comprising the following steps:
(1) dividing the object to be evaluated into a plurality of key links according to specific logic according to the characteristics of the object to be evaluated;
(2) aiming at each key link, dividing the evaluation of the link into a plurality of evaluation activities;
(3) deploying an intelligent contract in the block chain network, wherein the intelligent contract is used for storing the certification data of the evaluation activities related to the evaluation object;
(4) assigning the certification data submission right of each link evaluation activity to related participants;
(5) the participator signs the signature of the own block chain account according to the certification data of the evaluation activity and then submits the signature to an intelligent contract for storage;
(6) after the user scans the two-dimensional code of the evaluation object through the terminal, the terminal automatically uses a series of star maps with different colors or brightness to display the data submission completion state of the related evaluation activities of each link of the evaluation object.
2. The decentralized multi-dimensional evaluation method according to claim 1, wherein the specific logic of the evaluation object evaluates the object for the product/service class, and the evaluation key links of the evaluation object comprise:
(1) the environment/qualification of the place of origin;
(2) a production process;
(3) checking and detecting;
(4) warehousing logistics;
(5) wholesale;
(6) selling/retailing;
(7) and (4) user evaluation.
3. The decentralized multi-dimensional evaluation method according to claim 1, wherein the specific logic of the evaluation object evaluates the object for the business entity class, and the evaluation key links comprise:
(1) organizing qualifications/environments/governance;
(2) a product/service;
(3) a team;
(4) a revenue-type transaction;
(5) expenditure-type transactions (including external and internal expenditures);
(6) a financial report;
(7) and (5) customer evaluation.
4. The decentralized multi-dimensional evaluation method according to claim 1, characterized in that the certification data submitted by the evaluation activities have the following characteristics:
(1) the certification data type can be various file formats such as characters, pictures, voice, video and the like;
(2) the commit data must be signed by the submitter using its blockchain account;
(3) the intelligent contract identifies the identity of the user submitting the certification data, and the identity is legal when the requirement of authority is met;
(4) the block time when the transaction was submitted by the data is recorded as the data submission time:
(5) the data storage master file is stored in the distributed file system, and the hash code of the data is stored in the intelligent contract.
5. The decentralized multi-dimensional evaluation method according to claim 1, wherein the brightness of the star map for representing the completion status of each link data has the following characteristics:
(1) setting the number of activities of the link as n;
(2) star map page detection intelligent contract completion activity data m in the link;
(3) and calculating the brightness of the star map of the link as follows: luminance (i) ═ total luminance × m/n;
(4) the star map display brightness of the link is set as brightness (i).
6. A decentralized multi-dimensional evaluation system is characterized by comprising the following components:
(1) blockchain networks (alliance or public chains), distributed file systems (IPFS or ethernet Swarm);
(2) storing an intelligent contract of the multidimensional evaluation information hash code;
(3) evaluating a description template of the information;
(4) the method comprises the steps of establishing evaluation information, collecting field data, uploading and managing a client (web/app/applet);
(5) rating information scanning, querying terminals (app/WeChat/web client).
7. The decentralized multi-dimensional evaluation system according to claim 6, wherein the smart contracts in the evaluation system are designed with a plurality of levels of hierarchical administrator authority control functions, and the hierarchical control rules comprise:
(1) the intelligent contract creator is a super administrator and can authorize a general administrator, and the authorization mode of the intelligent contract creator is such as managers [ administrator accounts ] ═ true;
(2) an ordinary administrator can set an operator for the activity creation and information acquisition of a corresponding link, and an authorization mode of the operator such as operators [ item state class ] [ operator account ] (true) is identified;
(3) when the operator creates and collects data of each activity state, the authority of the operator is checked, and if the authority is true, the creation and data processing of the activity state can be executed.
8. The decentralized multi-dimensional evaluation system according to claims 6 and 7, wherein the data acquisition client of the operator automatically queries the operation authority of the operator corresponding to the account, and automatically loads the data acquisition template of the corresponding authority.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114819990A (en) * | 2022-04-22 | 2022-07-29 | 上海正圆计算机科技有限公司 | Traceability data rating system and method based on block chain |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107533580A (en) * | 2015-04-16 | 2018-01-02 | 索尼公司 | The multiple parameters for the biological information that part as live plant is shown over the display |
CN107993047A (en) * | 2017-11-22 | 2018-05-04 | 焦文华 | A kind of declaration form sales commission rights management method based on block chain |
CN109165966A (en) * | 2018-07-13 | 2019-01-08 | 江苏恒宝智能系统技术有限公司 | A kind of electric business platform evaluation management system based on block chain |
CN110866761A (en) * | 2019-11-07 | 2020-03-06 | 四川农链数科科技有限公司 | Anti-counterfeiting mark and tracing method and system for decentralized article |
KR102116559B1 (en) * | 2018-12-10 | 2020-05-28 | 김용남 | Method for providing block-chain based verified customer review sharing service |
-
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- 2020-08-31 CN CN202010912727.2A patent/CN114119056A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107533580A (en) * | 2015-04-16 | 2018-01-02 | 索尼公司 | The multiple parameters for the biological information that part as live plant is shown over the display |
CN107993047A (en) * | 2017-11-22 | 2018-05-04 | 焦文华 | A kind of declaration form sales commission rights management method based on block chain |
CN109165966A (en) * | 2018-07-13 | 2019-01-08 | 江苏恒宝智能系统技术有限公司 | A kind of electric business platform evaluation management system based on block chain |
KR102116559B1 (en) * | 2018-12-10 | 2020-05-28 | 김용남 | Method for providing block-chain based verified customer review sharing service |
CN110866761A (en) * | 2019-11-07 | 2020-03-06 | 四川农链数科科技有限公司 | Anti-counterfeiting mark and tracing method and system for decentralized article |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114819990A (en) * | 2022-04-22 | 2022-07-29 | 上海正圆计算机科技有限公司 | Traceability data rating system and method based on block chain |
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