CN115640556A

CN115640556A - Multi-user dynamic competitive right distribution control method and device

Info

Publication number: CN115640556A
Application number: CN202211050021.5A
Authority: CN
Inventors: 张微; 李志男; 林少伟; 马莺; 龚䶮
Original assignee: Huajiao Lianchuang Xiamen Technology Co ltd; Beijing Huayixin Technology Co ltd
Current assignee: Beijing Huayixin Technology Co ltd; Lin Shaowei
Priority date: 2022-08-30
Filing date: 2022-08-30
Publication date: 2023-01-24
Anticipated expiration: 2042-08-30
Also published as: CN115640556B

Abstract

The invention discloses a multi-user dynamic competition-in authority distribution control method and a device, wherein the method comprises the following steps: acquiring internal environment element information and external environment element information of data product assets on a data platform, and constructing a demand model of the data product assets; establishing a basic role authority table of each link of the whole life cycle of the data product assets; acquiring user right individual conditions and historical right competitive relations on a data platform, and constructing an individual right competitive model of a user; determining the best matching users and the competitive right distribution result between the best matching users of all links of the whole life cycle which meet the basic role right requirements; controlling the authority of each link in the whole life cycle to obtain an authority control mode; dynamically adjusting the competitive right distribution result and the right control mode of the user to realize the multi-user dynamic competitive right distribution control. The method realizes the data platform authority distribution and control scene by taking the data product assets as the authority objects.

Description

Multi-user dynamic competitive right distribution control method and device

Technical Field

The invention relates to the technical field of user permission allocation of a big data platform, in particular to a multi-user dynamic competition right allocation control method and a multi-user dynamic competition right allocation control device.

Background

Currently, the so-called authority distribution and control of a data platform is mainly the distribution and control of unified roles of platform users. The main idea of the data platform authority distribution method is to determine user authority or deduce more user authorities directly according to the relevance among users, roles and authorities, or to match the user authority through indirect relevance elements among users, roles and authorities such as platform tasks, services and working modes. The disadvantage of these methods is that the user right assignment obtained by the relevance right assignment method mainly refers to the right assignment of the role of the user in the data platform. Limited by the standardization of role permissions, the user permission assignment of these methods usually lacks personalized scene adaptability and dynamic permission characteristics.

Therefore, on the basis of the current data platform authority distribution method, the authority control method focuses on hierarchical/grouping/partitioning user authority management, and focuses on achieving the aims of accurate user role division and dynamic authority control through refining/subdividing the authority. These methods mainly comprise: according to the information difference of external factors such as user identity information, tasks/services and the like, generating a personalized configuration file, and subdividing user permissions to form accurate roles; according to the specific condition of the user, the current operation authority is authorized, and dynamic graded user authority management is formed; and (4) grading the safety of the user by an encryption method so as to grade the user permission. The methods essentially solve the problem that the current data platform permission allocation method lacks personalized scene adaptability and dynamic permission characteristics to a certain extent by increasing the fine degree of the permission. However, the problem of centralized authority control of the authority control method by the current data platform exists.

Because the current data platform authority distribution and control method is essentially a method for matching users and authorities all the time, and is limited by the traditional technical framework, other methods do not take the problem of uniqueness requirements of different authority objects on authority users into consideration in the user authority distribution and control method. When the uniqueness requirements of different authority objects on authority users are different greatly, the general role authority defined by the traditional data platform authority distribution and control method cannot cover and distinguish the different requirements.

Particularly, under the influence of specific requirements of data product assets, the authority distribution and control of four basic roles (a data owner, a data producer, a data user and a data manager) in the links of determining, collecting, storing, using, processing, transmitting, providing, disclosing and the like of the full life cycle of the data product assets on the current data platform have the trend of multi-user dynamic competition, so that the data product assets are ensured to be matched with the optimal users in all the links of the full life cycle. Therefore, the distribution and control of the user rights around the data product assets have higher requirements on the embodiment of the individual competitive conditions of each user, and the competitive relationship of each user is required to have a dynamic adjustment characteristic.

Disclosure of Invention

The technical problem to be solved by the invention is to provide a multi-user dynamic competition-closing authority distribution control method, which can distribute and control the authority aiming at a specific object. The method can be used for solving the problem that the current data platform authority distribution method lacks individualized scene adaptability and dynamic authority characteristics, solving the problem of centralized authority control of the current data platform to the authority control method, and solving the problem that the common role authority defined by the traditional data platform authority distribution and control method can not cover and distinguish the difference requirements when the difference of the uniqueness requirements of different authority objects to authority users is large in authority distribution and control, in particular to the data platform authority distribution and control scene taking data product assets as authority objects.

In order to solve the above technical problem, a first aspect of an embodiment of the present invention discloses a multi-user dynamic bidding right allocation control method, where the method includes:

s1, acquiring internal environment element information and external environment element information of a data product asset on a data platform, and constructing a demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset;

s2, establishing a basic role authority table of each link of the full life cycle of the data product asset by using the demand model of the data product asset;

the basic role authority table comprises basic role authority requirements of data product assets on all links of a full life cycle;

s3, acquiring user authority personalized conditions and historical authority competitive relations on a data platform, and constructing a user personalized authority competitive model by using the user authority personalized conditions and the historical authority competitive relations;

s4, determining the best matched user and the competitive right distribution result between the best matched users in each link of the full life cycle meeting the basic role right requirements by utilizing the personalized right competitive model of the users and the basic role right requirements;

s5, controlling the authority of each link in the full life cycle by using the optimal matching user of each link in the full life cycle meeting the basic role authority requirement and the competition authority distribution result between the optimal matching users to obtain an authority control mode;

and S6, dynamically adjusting the competitive right distribution result and the right control mode of the user by utilizing the internal environment element information, the external environment element information, the user right individual condition and the historical right competitive relationship of the data product assets, and realizing multi-user dynamic competitive right distribution control.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining internal environment element information and external environment element information of the data product asset, and constructing a demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset includes:

acquiring internal environment element information and external environment element information of data product assets;

when the data product asset can directly provide internal environment element information and external environment element information, a demand model of the data product asset is directly constructed by using the internal environment element information and the external environment element information;

and when the data product assets cannot directly provide internal environment element information and external environment element information, the data platform historical database is used for constructing a demand model of the data product assets.

As an alternative implementation manner, in the first aspect of the embodiment of the present invention, the obtaining a data platform history database, and when the data product asset cannot directly provide internal environment element information and external environment element information, constructing a demand model of the data product asset by using the data platform history database, includes:

acquiring a data platform historical database, and mining other data product assets related to the data product assets in the data platform historical database by using a data mining method;

processing the other data product assets associated with the data product asset to obtain data product assets associated with the data product asset structure and content;

the structure and content related data product assets comprise a related data set;

processing the related data set to obtain a data product asset basic unit; the data product asset basic unit can reflect the structure and content requirements of the data product asset;

carrying out structure matching on the data product asset basic units to obtain a group basic unit set;

the basic unit set of the group meeting the structure and content requirements of the data product assets forms a basic unit set capable of referring to the direct internal requirements; the direct internal demand basic unit set can be referred to form a demand model of the data product assets;

according to the application scene records of the basic units in the data platform historical database, the structure and content relation records with other data product assets, the market value records, the circulation records and the safety credibility records, the application scene referable external requirement range, the structure and content relation referable external requirement range with other data product assets, the market value referable external requirement range, the circulation referable external requirement range and the safety credibility referable external requirement range which meet the data product assets can be determined.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the establishing, by using the demand model of the data product asset, a basic role authority table of each link of a full lifecycle of the data product asset on a data platform includes:

establishing a relation table of all links of the full life cycle of the data product asset and the related authority of the data product asset by using the demand model of the data product asset;

establishing a relation table of the related authority of the data product asset and the basic role of the data product asset by using the demand model of the data product asset;

establishing a basic role authority list of each link of the full life cycle for a data owner, a data producer, a data user and a data manager on a data platform by utilizing a relation list of each link of the full life cycle of the data product asset and the related authority of the data product asset and a relation list of the related authority of the data product asset and the basic role of the data product asset;

if the relation table is not directly provided, digging out the data product data assets which are close to the internal and external environment elements of the data product assets in the data platform historical database by using a data mining method;

counting the relation table sets of the data product assets which are close to the internal and external environment elements of the data product assets and the related authorities of the data product and the assets by the links of authority identification, collection, storage, use, processing, transmission, supply, disclosure and the like, and the relation table sets of the related authorities of the data product assets and the basic roles of the data product data assets;

the specific requirements of the data product assets are converted into specific authority requirements corresponding to basic roles of links such as the whole life cycle certainty, collection, storage, use, processing, transmission, provision, disclosure and the like of the data product assets on the data platform.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining an individual condition of a user right and a historical right competitive relationship on a data platform, and constructing an individual right competitive model of a user by using the individual condition of the user right and the historical right competitive relationship includes:

utilizing the authority requirement and the historical authority competitive relationship of each link in the full life cycle to extract the authority individual conditions and the historical authority competitive relationship of a data owner, a data producer, a data user and a data manager;

and analyzing the authority individual conditions and historical authority competitive relations of the data owners, the data producers, the data users and the data managers by using a data mining method to obtain competitive relation data product assets and cooperative relation data product assets.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining, by using the user personalized permission auction model and the basic role permission requirement, the best matching user and the result of assigning the auction permission between the best matching users in each link of the full life cycle that meet the basic role permission requirement includes:

obtaining a competition right range which meets the requirement of each link of the demand model and is matched with users by utilizing the user personalized right competition model and the basic role right requirement;

constructing a bidding right range model of the matched user corresponding to each link of the full life cycle of the data product asset by using the bidding right range;

constructing a data product asset authority matching model by using the competition right range model and taking the total authority matching optimization of the data product asset as a target;

determining a competitive right distribution result of the best matching user in each link of the full life cycle meeting the basic role right requirement by using the data product asset right matching model;

the total authority of the data product asset is matched with an optimal target, the number of matched users in each link and each basic unit of the whole life cycle of the data product asset is minimum, the competitive authority in competitive right of each matched user is minimum, the difference between the requirement of cooperative authority and role authority of each link is minimum, and the ratio of repeated authority of each matched user in the cooperative authority is minimum.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the controlling, by using the result of allocating the competitive right of the best matching user in each link of the full life cycle that meets the requirement of the basic role right, the right of each link of the full life cycle to obtain the right control mode includes:

obtaining an authority control mode by utilizing the competitive right distribution result of the best matching user in each link of the full life cycle meeting the basic role authority requirement;

the authority control modes comprise a first authority control mode and a second authority control mode;

the first authority control mode is that when a link meeting requirements and a best matching user set of a basic unit contain more than two users, the user with the highest authority ratio is judged according to the competitive right of the best matching user of each link meeting requirements, and the user is enabled to have the authority control right of the link and the basic unit;

and the second authority control mode controls the authority for a method for commonly voting for all users.

The second aspect of the embodiment of the invention discloses a multi-user dynamic competition-joining authority distribution control device, which comprises:

the system comprises a first processing module, a second processing module and a data platform, wherein the first processing module is used for acquiring internal environment element information and external environment element information of a data product asset on the data platform, and constructing a demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset;

the second processing module is used for establishing a basic role authority list of each link of the full life cycle of the data product asset by utilizing the demand model of the data product asset;

the third processing module is used for acquiring the user authority personalized condition and the historical authority competitive relationship on the data platform and constructing a personalized authority competitive model of the user by utilizing the user authority personalized condition and the historical authority competitive relationship;

the fourth processing module is used for determining the best matching user and the competition right distribution result between the best matching users in each link of the full life cycle meeting the requirement of the basic role right by utilizing the personalized right competition model of the users and the requirement of the basic role right;

the fifth processing module is used for controlling the authority of each link in the full life cycle by using the optimal matching users of each link in the full life cycle meeting the basic role authority requirement and the competition authority distribution result between the optimal matching users to obtain an authority control mode;

and the sixth processing module is used for dynamically adjusting the competitive right distribution result and the right control mode of the user by utilizing the internal environment element information, the external environment element information, the user right individual condition and the historical right competitive relationship of the data product assets, so as to realize multi-user dynamic competitive right distribution control.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the acquiring internal environment element information and external environment element information of the data product asset, and constructing a demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset includes:

As an alternative implementation, in the second aspect of the embodiment of the present invention, the obtaining a data platform history database, and when the data product asset cannot directly provide the internal environment element information and the external environment element information, constructing a demand model of the data product asset by using the data platform history database, includes:

processing the other data product assets related to the data product asset to obtain data product assets related to the data product asset structure and content;

the basic unit sets of the group meeting the structure and content requirements of the assets of the data products form the basic unit sets capable of referring to the direct internal requirements; the direct internal demand basic unit set can be referred to form a demand model of the data product assets;

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the establishing, by using the demand model of the data product asset, a basic role authority table of each link of a full lifecycle of the data product asset on a data platform includes:

establishing a basic role authority table of each link of the full life cycle for a data owner, a data producer, a data user and a data manager on a data platform by utilizing a relation table of each link of the full life cycle of the data product asset and the related authority of the data product asset and a relation table of the related authority of the data product asset and the basic role of the data product asset;

counting the relation table set of the data product assets which are close to the internal and external environment elements of the data product assets and the relation table set of the related authorities of the data product and the assets and the relation table set of the related authorities of the data product assets and the basic roles of the data product data assets, wherein the relation table set comprises the links of authority identification, collection, storage, use, processing, transmission, supply, disclosure and the like;

the specific requirements of the data product assets are converted into specific authority requirements corresponding to basic roles of the data product assets in the links of determining, collecting, storing, using, processing, transmitting, providing, disclosing and the like in the whole life cycle of the data product assets on the data platform.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the obtaining of the user right personalized condition and the historical right competitive relationship on the data platform, and constructing the personalized right competitive model of the user by using the user right personalized condition and the historical right competitive relationship includes:

and analyzing the authority individuality conditions and the historical authority competitive relationship of the data owner, the data producer, the data user and the data manager by using a data mining method to obtain the competitive relationship data product asset and the cooperative relationship data product asset.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the determining, by using the user personalized permission auction model and the basic role permission requirement, the best matching user and the result of assigning the auction permission between the best matching users in each link of the full life cycle that meet the basic role permission requirement includes:

obtaining a competition right range which meets the requirement model and matches users in each link by using the user personalized right competition model and the basic role right requirement;

determining a competitive right distribution result of the best matching user in each link of the full life cycle meeting the basic role right requirements by using the data product asset right matching model;

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the controlling, by using the result of allocating the competitive right of the best matching user in each link of the full life cycle that meets the requirement of the basic role right, the right of each link of the full life cycle to obtain the right control mode includes:

and the second authority control mode controls the authority for a method for jointly voting all the users.

The third aspect of the invention discloses another multi-user dynamic competition right distribution control device, which comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute part or all of the steps of the multi-user dynamic competition right distribution control method disclosed by the first aspect of the embodiment of the invention.

The fourth aspect of the present invention discloses a computer storage medium, where the computer storage medium stores computer instructions, and when the computer instructions are called, the computer instructions are used to execute part or all of the steps in the multi-user dynamic bidding permission allocation control method disclosed in the first aspect of the embodiment of the present invention.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

(1) The invention provides a multi-user dynamic competitive right distribution control method and a multi-user dynamic competitive right distribution control device, which have the advantages that the so-called right distribution and control different from that of the current data platform mainly refers to the distribution and control of unified roles of platform users, and the key solution is to distribute and control the right of a specific object. The method can be used for solving the problem that the current data platform authority distribution method is lack of personalized scene adaptability and dynamic authority characteristics, and solving the problem that when the uniqueness requirements of different authority objects on authority users are different greatly, the general role authorities defined by the traditional data platform authority distribution and control method cannot cover and distinguish the different requirements, and particularly aims at the data platform authority distribution and control scene taking data product assets as authority objects.

(2) The method develops the authority distribution around the data product assets, specifically analyzes four basic role authority requirements of the data product assets in all links of the whole life cycle, such as the authority, collection, storage, use, processing, transmission, provision, disclosure and the like, which are influenced by internal and external environments.

(3) The method of the invention caters to the authority distribution and control of four types of basic roles in each link of the data product assets, has the trend of multi-user dynamic competition, and determines the authority distribution result which meets the four types of basic role authority requirements of each link of the data product assets and meets the total authority matching optimal target of the data product assets through the individual conditions of each user. The data product assets are better served by the users through the competitive relationship, the authority users of the data product assets which are optimally matched are guaranteed, and the problem that the current data platform authority distribution method lacks individualized scene adaptability is solved.

(4) The invention solves the problem of centralized power control of the current data platform to the power control method, determines the power control power of each link through the competitive relationship among users, and enables the power users to fully exercise the corresponding power control power according to a certain rule.

(5) In the invention, the user authority distribution and control are dynamically adjusted according to the internal and external environment elements of the data product assets, the individual conditions of each user and the dynamic change of the historical competitive relationship, so as to solve the problem that the current data platform authority distribution and control method lacks dynamic authority characteristics.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a multi-user dynamic bidding permission allocation control method disclosed in the embodiment of the present invention;

fig. 2 is a schematic structural diagram of a multi-user dynamic competition right allocation control device according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of another multi-user dynamic competition right allocation control device according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses a multi-user dynamic competitive right distribution control method, which can construct a specific demand model of a data product asset according to internal and external environment elements of the data product asset, establish a four-class basic role right list of links such as the whole life cycle affirmation, collection, storage, use, processing, transmission, provision and disclosure of the data product asset on a data platform, and convert the specific demand of the data product asset into the specific right requirements of four-class basic roles of the links such as the whole life cycle affirmation, collection, storage, use, processing, transmission, provision and disclosure of the data product asset on the data platform; analyzing the authority individual conditions and historical authority competition relations of all users, constructing an individual authority competition model of all users, synthesizing the individual authority competition model of all users and four types of basic role authority requirements, deducing the competition authority range of all link matched users and among the link matched users which preliminarily meet the requirements, further constructing the competition authority range formula of all links of the data product assets and the preliminarily matched users corresponding to all basic units, and constructing the data product asset authority matching model by taking the total authority matching optimization of the data product assets as a target so as to determine all links, the optimum matched users of all basic units and the competition authority distribution results among the links, the basic units which meet the four types of basic role authority requirements; according to links, basic units and competitive right distribution results among the links, the basic units and the users which are optimally matched according to the four basic role rights requirements, controlling the rights of the links; and dynamically adjusting the user authority distribution and control according to the internal and external environment elements of the data product assets, the individual conditions of each user and the dynamic change of the historical competitive relationship.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of a multi-user dynamic bidding right allocation control method according to an embodiment of the present invention:

s4, determining the best matching user and the competitive right distribution result between the best matching users in each link of the whole life cycle meeting the basic role right requirement by utilizing the personalized right competitive model of the users and the basic role right requirement;

s5, controlling the authority of each link in the whole life cycle by using the optimal matching user of each link in the whole life cycle meeting the basic role authority requirement and a competition authority distribution result between the optimal matching users to obtain an authority control mode;

Optionally, the obtaining the internal environment element information and the external environment element information of the data product asset, and constructing the demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset includes:

Optionally, the obtaining a data platform historical database, when the data product asset cannot directly provide the internal environment element information and the external environment element information, constructing a demand model of the data product asset by using the data platform historical database, the method includes:

according to the application scene records of the basic units in the data platform historical database, the structure and content relation records with other data product assets, market value records, circulation records and safety credibility records, the application scene referable external demand range, the structure and content relation referable external demand range with other data product assets, the market value referable external demand range, the circulation referable external demand range and the safety credibility referable external demand range which meet the data product assets can be determined.

Optionally, the establishing, by using the demand model of the data product asset, a basic role authority table of each link of a full life cycle of the data product asset on the data platform includes:

Optionally, the obtaining of the user right personalized condition and the historical right competitive relationship on the data platform, and constructing a personalized right competitive model of the user by using the user right personalized condition and the historical right competitive relationship includes:

utilizing the authority requirement and the historical authority competitive relationship of each link of the full life cycle to extract the authority individual condition and the historical authority competitive relationship of a data owner, a data producer, a data user and a data manager;

Optionally, the determining, by using the user personalized permission auction model and the basic role permission requirement, the best matching user and the result of distributing the auction permission between the best matching users in each link of the full life cycle that meet the basic role permission requirement includes:

constructing a bidding permission range model of the matched users corresponding to each link of the full life cycle of the data product asset by using the bidding permission range;

Optionally, the controlling, by using the result of allocating the competitive right of the best matching user in each link of the full life cycle that meets the requirement of the basic role right, the right of each link of the full life cycle is controlled to obtain a right control mode, including:

obtaining an authority control mode by using the competitive right distribution result of the best matching user in each link of the full life cycle meeting the basic role authority requirement;

the authority control mode comprises a first authority control mode and a second authority control mode;

Example two

Assuming that the data product asset A is an object of user right distribution and control, the internal and external environment elements of the data product asset A are divided into two types, namely, internal environment elements and external environment elements. The internal environment elements for distributing and controlling the user authority of the data product asset A comprise the structure, the content, the self value, the safety and privacy and the like of the data product asset A. External environmental elements of user rights allocation and control of the data product asset a include application scenarios, structural and content relationships with other data product assets, market values, currency, security credibility, and the like.

Accordingly, a specific demand model for the data product asset is constructed. When the data product asset A can directly provide the requirements of the internal environment elements and the external environment elements, a specific requirement model of the data product asset A is directly constructed.

When the data product asset A can not directly provide the internal environment element and the external environment element requirements, the internal environment element and the external environment element requirements range of the data product asset A needs to be inferred indirectly through the data platform historical database.

According to the data product assets A, according to the structure and content requirements, other data product assets B(s) (s =1,2,.. Multidot., n) related to the data product assets A in the data platform historical database are mined by adopting a data mining method such as clustering, a grey correlation analysis method and an Apriori algorithm. And further mining the parts of other datase:Sub>A product assets B(s) which meet the structural and content requirements of the datase:Sub>A product asset A, extracting the structural contents, and uniformly establishing ase:Sub>A datase:Sub>A set (PB-A (d)) (d =1, 2.. Once.n). And according to the structure and content requirements of the datase:Sub>A product asset A, further statistically dividing the datase:Sub>A set { PB-A (d) } into ase:Sub>A series of basic units PB-ase:Sub>A (d) capable of reflecting the structure and content requirements of the datase:Sub>A product asset A. The structure of the basic units is analyzed and matched with the content, and m groups of basic unit sets { pb-a (l) } m, (l, m =1,2,... Times.n) capable of meeting the structure and content requirements of the data product asset A can be obtained. The m groups of basic unit sets { pb-a (l) } m meeting the structure and content requirements of the data product asset A are called as a referenceable direct internal requirement basic unit set group of the data product asset A.

Correspondingly, for a basic unit pb-a (l) in the m-group basic unit set { pb-a (l) } m, according to a structure record st (pb-a (l)), a content record co (pb-a (l)), a self-value record ov (pb-a (l)), and a security privacy record pr (pb-a (l)) of the basic unit pb-a (l) in the data platform history database, it can be determined that the structure meeting the data product asset a can refer to an internal requirement range { st (pb-a (l)) } m, the content can refer to an internal requirement range { co (pb-a (l)) } m, the self-value can refer to an internal requirement range { ov (pb-a (l)) } m, and the security privacy can refer to an internal requirement range { pr (pb-a (l)) } m.

Accordingly, for a basic unit pb-a (l) in the m-group basic unit set { pb-a (l) } m, according to an application scene record as (pb-a (l)) of the basic unit pb-a (l) in the data platform history database, a structure and content relationship record rc (pb-a (l)) with other data product assets, a market value record mv (pb-a (l)), a circulation record cr (pb-a (l)), a security credibility record sc (pb-a (l)), an application scene satisfying the data product asset a can be determined to refer to an external demand range { as (pb-a (l)) } m, a structure and content relationship with other data product assets can refer to an external demand range { rc (pb-a (l)) } m, a market value referable external demand range { mv (pb-a (l)) } m, and a circulation referable external demand range { pb-a (l)) } m.

Optionally, four types of basic role authority tables of the links of determining, collecting, storing, using, processing, transmitting, providing, disclosing and the like of the full life cycle of the data product assets on the data platform are established:

the full lifecycle of the data product asset a includes the steps of entitlement, collection, storage, use, processing, transmission, offering, publishing, etc. These links are labeled LI (a, k), where k represents the number of the right, collect, store, use, process, transmit, provide, disclose links, corresponding to numbers 1-8, respectively.

The four basic types of roles for data product asset A include data owner, data producer, data consumer, and data manager. These roles are labeled RO (A, g), where g represents the numbers of the data owner, data producer, data consumer, and data manager, corresponding to numbers 1-4, respectively.

The associated rights for data product asset A include, but are not limited to: administrative, governance, trading, ownership, production process, and usage rights. Wherein, the management right includes but is not limited to storage, inquiry access, management-related encryption right, platform user right distribution right, access management right, management-related destruction right, disposal right, management right, acquisition right, service registration right and related income right; governing rights include but are not limited to supervision rights, jurisdictional limit rights, guarantee rights, opening rights, authentication rights, right-to-confirm rights, authorization rights, and related profit rights; transaction rights include, but are not limited to, transaction control rights, transaction enforcement rights, pricing bargaining rights, evaluation rights, multiple transaction rights, distribution rights, circulation rights; ownership includes but is not limited to intellectual property, upload rights, secure privacy rights, restricted exclusive rights, modified change rights, transfer share rights, destroy rights, related earnings rights, dominant property distribution rights; production process rights include, but are not limited to, production rights, process rights, participation right, and related profit rights; usage rights include, but are not limited to, access rights, benefit rights, copy rights. These rights are labeled as LA (A, (i, j)), where i represents the numbers of administrative, administration, trading, ownership, manufacturing and usage rights, corresponding to numbers 1-6, respectively; j represents the number of the specific authority which is respectively included by the management authority, the administration authority, the trading authority, the ownership, the production processing authority and the use authority, and the numbers are sequentially numbered from 1.

According to the full life cycle, the four basic roles, the related rights and the marks thereof of the data product asset A, the established four basic role rights table of the full life cycle, the collection, the storage, the use, the processing, the transmission, the provision, the disclosure and the like of the data product asset on the data platform is LI-RO (A, k, g), and is obtained by a relation table LI-LA (A, k, (i, j)) of the rights, the collection, the storage, the use, the processing, the transmission, the provision, the disclosure and the like and the related rights of the data product asset A and a relation table LA-RO (A, (i, j), g) of the four basic roles of the data product asset A. Wherein, each item value corresponding to each table can be 1 or 0, if the relationship is related, it is 1, and if the relationship is not related, it is 0.

The method is different from the traditional direct association method of business links and roles, fully embodies the function of the related authority of the data product asset A in the process, and ensures that four types of basic role authority lists of links such as the certainty, collection, storage, use, processing, transmission, provision, disclosure and the like of the full life cycle of the data product asset on a data platform are established and changed according to the specific situation of the data product asset A.

In the method, the relationship table LI-LA (A, k, (i, j)) of the links of right identification, collection, storage, use, processing, transmission, provision, disclosure and the like and the relationship table LA-RO (A, (i, j), g) of the four types of basic roles of the data product asset A can be directly provided by the task right presenter of the data product asset A.

If the relation table is not directly provided, the relation table is derived according to the historical database of the data platform. The specific method comprises the following steps: and excavating a data product asset B (t) (t =1,2, n.) which is closer to the internal and external environment elements of the data product asset A in a historical database of the data platform by adopting a data mining method such as clustering, factor analysis and the like. And counting a relation table set (LI-LA (B (t), k, (i, j)) } of the data product asset B (t) and links such as identification, collection, storage, use, processing, transmission, provision, disclosure and the like and a relation table set (LA-RO (B (t), (i, j), g)) of the data product asset B and four types of basic roles of the data product asset B. For example: and calculating the inter-group distance and the intra-group distance through system clustering, and finding the data product assets which are closer to the internal and external environment elements of the data product assets, namely are classified into the same class, in a historical database of the data platform through a clustering algorithm, thereby obtaining a corresponding relation table set. According to statistics, unifying two relation table sets into two representative relation tables which are respectively used as a relation table LI-LA (A, k, (i, j)) of the links of the data product asset A such as the links of the right confirmation, collection, storage, use, processing, transmission, provision and disclosure and the relation table LA-RO (A, (i, j), g) of the four basic roles of the data product asset A, and further obtaining the four basic role right table LI-RO (A, k, g) of the links of the data product asset on the data platform such as the right confirmation, collection, storage, use, processing, transmission, provision and disclosure.

Optionally, the specific requirements of the data product assets are converted into specific permission requirements of four basic roles corresponding to links of determining, collecting, storing, using, processing, transmitting, providing, disclosing and the like of the full life cycle of the data product assets on the data platform.

Determining that a structure satisfying the data product asset a may refer to an internal requirement range { st (pb-a (l)) } m, a content may refer to an internal requirement range { co (pb-a (l)) } m, a self-value may refer to an internal requirement range { ov (pb-a (l)) } m, and a security and privacy may refer to an internal requirement range { pr (pb-a (l)) } m; it may be determined that an application scene satisfying the data product asset a may refer to the external demand range { as (pb-a (l)) } m, the external demand range { rc (pb-a (l)) } m in a structural and content relationship with other data product assets, the market value may refer to the external demand range { mv (pb-a (l)) } m, the liquidity may refer to the external demand range { cr (pb-a (l)) } m, and the security reliability may refer to the external demand range { sc (pb-a (l)) } m.

Four types of basic role authority tables LI-RO (A, k, g) of the whole life cycle of the data product asset A on the data platform are established, wherein the four types of basic role authority tables LI-RO comprise the steps of collecting, storing, using, processing, transmitting, providing, disclosing and the like.

According to the internal requirement range and the external requirement range which can be referred to by each item meeting the requirement of the data product asset A, the whole life cycle certainty, collection, storage, use, processing, transmission, provision, disclosure and other links of the data product asset A and the corresponding relation of four basic roles, filling the internal requirement range and the external requirement range which can be referred to by each item meeting the requirement of the data product asset A into each item of four basic role authority tables LI-RO (A, k, g) of the whole life cycle certainty, collection, storage, use, processing, transmission, provision, disclosure and other links of the data product asset A on the data platform, converting the specific requirement of the data product asset A into the specific authority requirement of four basic roles RO (A, g) corresponding to the whole life cycle certainty, collection, storage, use, processing, transmission, provision, disclosure and other links of the data product asset A on the data platform, and marking the specific authority requirement of LI-RO-dr (A, k, g, { pb-a (l) }. Wherein dr is a referenced internal demand range and a referenced external demand range.

Establishing an individualized authority competition model of each user by analyzing the authority individual condition and the historical authority competition relationship of each user, and determining optimal matching users of each link meeting the four types of basic role authority requirements and competition authority distribution results among the optimal matching users by establishing a simulated data product asset authority matching model corresponding to the primary matching user and the competition authority range and taking the optimal total authority matching of the data product asset as a target;

optionally, the individual authority conditions and the historical authority competition relationship of each user are analyzed, and the individual authority competition model of each user is constructed

The individual authority competitive matched model of each user is divided into an individual authority condition model of each user and an authority competitive matched model of each user.

And extracting the authority individuality condition ppc (eu (z), O) of each user eu (z) (z =1, 2.... N) and the historical authority competition relation hccr (eu (z), O) according to the user authority distribution result corresponding to all the data product assets O in the data platform historical database. The authority personality condition ppc (eu (z), O) of each user eu (z) (z =1, 2.. Ann) comprises a data product asset O corresponding to the historical four basic roles RO (O, g) -eu (z), the historical authority HLA (O, (i, j)) -eu (z) of each user and the internal and external requirements dr (O) of the data product asset O. Can be directly extracted from the historical user authority distribution result. The authority personality conditions of the users are used as personalized authority condition models F (ppc (eu (z), O)) of the users through a formatting statistical method such as word cloud extraction.

The historical authority competition relationship of each user refers to specific authority requirements LI-RO (Q, k, g) of four types of basic role RO (Q, g) of links LI (Q, k) of a certain data product asset Q which determine the whole life cycle, collect, store, use, process, transmit, provide, disclose and the like, and determines that each link which initially meets the requirements is deduced to be matched with user euc (e) (the euc (e) belongs to eu (z)), and the synergistic action sy (euc (e), LI-RO (Q, k, g)) which meets the authority requirements LI-RO (Q, k, g) exists among the users euc (e) or strives for an independent relationship fi (euc (e), LI-RO (Q, k, g)). The competitive combination relationship of each user is used for competitive combination model E (hccr (eu (E), Q)) of the historical authority of a certain data product asset Q of each user through a formatting statistical method such as word cloud extraction.

According to the historical authority competition model E (hccr (eu (z), O)) of all the historical data product assets O of all the users, the competition relationship hccr (eu (z), O) of all the users corresponding to all the historical data product assets O can be known. The bidding relationships of data product asset a with all historical data product assets O are analyzed by comparison. Data product assets with internal environment elements close to external environment elements are called competitive relationship data product assets through data mining methods such as clustering and factor analysis, and data product assets with the internal environment elements and the external environment elements having complementarity are called cooperative relationship data product assets.

Assuming that the data product asset A and the historical data product asset C have a competitive relationship, the competitive relationship between the data product asset A and users with the same authority of the historical data product asset C is the same, and the historical authority competitive model E (hccr (euc (E, C)) of each user of the historical data product asset C is the authority competitive model E (ccr (euc (E, A)) of each user of the data product asset A. E (ccr (euc (E), a)) = E (hccr (euc (E), C)), that is [ sy (euc (E), LI-RO (a, k, g)), fi (euc (E), LI-RO (a, k, g)) ] = [ sy (euc (E), LI-RO (C, k, g)), fi (euc (E), LI-RO (C, k, g)) ].

Assuming that the data product asset A has a cooperative relationship with the historical data product asset C, the competitive relationship between the data product asset A and the same users of the historical data product asset C is opposite, and the historical authority competitive model E (hccr (euc (E, C)) of each user of the historical data product asset C is opposite to the authority competitive model E (ccr (euc (E, A)) of each user of the data product asset A. E (hccr (euc (E), a)) = "E (hccr (euc (E, C)), that is, [ sy (euc (E), LI-RO (a, k, g)), fi (euc (E), LI-RO (a, k, g)) ] = [ fi (euc (E), LI-RO (C, k, g)), sy (euc (E), LI-RO (C, k, g)) ].

Optionally, the personalized permission competition model of each user and the four basic role permission requirements are integrated, and the competition permission range between the users and the users in each link matching the requirements preliminarily met is deduced:

according to the personalized permission condition model F (ppc (eu (z, O)) of each user eu (z)), the permission personalized condition ppc (eu (z, O)) of each user eu (z =1, 2.... N) comprises a data product asset O corresponding to the historical four basic roles RO (O, g) -eu (z), the historical permission HLA (O, (i, j)) -eu (z) of each user and the internal and external requirements dr (O) of the data product asset O.

The privilege competition model E (ccr (euc (E), A)) of each user according to the data product asset A comprises a synergistic effect sy (euc (E), LI-RO (A, k, g)) which exists among users euc (E) and meets the privilege requirement LI-RO (A, k, g) or an independent relationship fi (euc (E), LI-RO (A, k, g)) in a competition mode.

According to the specific authority requirements of four types of basic role RO (A, g) of the whole life cycle of the data product asset A, such as the steps of determining authority, collecting, storing, using, processing, transmitting, providing, disclosing and the like, the data product asset A is marked as LI-RO-dr (A, k, g, { pb-a (l) } m).

The method comprises the steps that m groups of basic unit sets { pb-a (l) } m which can meet the structure and content requirements of a data product asset A in the specific permission requirements of four types of basic roles of all links of a full life cycle of the data product asset A are judged according to an individual permission condition model of each user, which users have individual permission conditions meeting the user permission requirements of the basic units pb-a (l) in the sets in all the links, and all the user sets meeting the user permission requirements of all the links of the { pb-a (l) } m are combined into alternative link user sets AUS (LI (A, k) } and the { pb-a (l) } m).

According to the authority competition model of each user of the data product asset A, the competition relationship and the corresponding authority of each user corresponding to the same link LI (A, k) in the same basic unit pb-a (l) and the same link LI (A, k) in each link user set AUS (LI (A, k), { pb-a (l) } m) are further judged, the competition relationship and the corresponding authority of each user corresponding to different links LI (A, k) in the same basic unit pb-a (l) are different, and the competition relationship and the corresponding authority of the same link LI (A, k) in different basic units pb-a (l) are different.

And (3) comparing and analyzing the three relations, and screening out all links matching users preliminarily meeting the requirements, wherein the specific method comprises the following steps of: the users with the same basic unit pb-a (l) and the same link LI (A, k) having competition relation are divided into different groups, and the users with cooperation and relation are divided into the same alternative group AG (LI (A, k), pb-a (l)); each user with competition relation in different links LI (A, k) of the same basic unit pb-a (l) is divided into different groups, and users with cooperation and relation are divided into the same alternative group AG (LI' (A, k), pb-a (l)); different basic units pb-a (l) and users with competitive relations in the same link LI (A, k) are divided into different groups, and users with cooperative and relation are divided into the same alternative group. According to the requirement of the data product asset A on the user competitive relationship, users in each alternative group AG (LI (A, k), pb-a (l)) can be called as links matching users which preliminarily meet the requirement; or the intersection of each alternative group AG (LI (A, k), pb-a (l)) and each corresponding alternative group AG (LI' (A, k), pb-a (l)) is called as each link matching user which initially meets the requirement; or the intersection of each alternative group AG (LI (A, k), pb-a (l)), corresponding each alternative group AG (LI' (A, k), pb-a (l) and corresponding each alternative group AG (LI (A, k), pb-a (l)) is called as each link matching user meeting the requirement preliminarily.

Marking competitive combination authorities CA (ag (LI (A, k), pb-a (l))) of each link matching user ag (LI (A, k), meeting the requirements preliminarily according to competitive combination relations and corresponding authorities of users corresponding to the same link LI (A, k) of the same basic unit pb-a (l), competitive combination relations and corresponding authorities of users corresponding to different links LI (A, k) of different basic units pb-a (l), and competitive combination authorities and corresponding authorities of different basic units pb-a (l) and the same link LI (A, k), pb-a (l)). Because each link matching user meeting the requirement initially is an alternative group or an intersection of alternative groups, usually a plurality of alternative sets are used, and the competitive right of different alternative sets is synthesized, so that the competitive right range CA (ag (LI (A, k), and { pb-a (l) } m) of each link matching user ag (LI (A, k), and pb-a (l)) meeting the requirement initially can be obtained.

Optionally, according to the preliminarily meeting requirements of each link matching user and the competitive right range between them, constructing the competitive right range of the preliminarily matching users corresponding to each link and each basic unit of the data product asset:

and matching right ranges CA (ag (LI (A, k), and { pb-a (l) } m) of the users ag (LI (A, k), and pb-a (l)) according to the links meeting the requirements preliminarily, wherein the right is a set of right distribution corresponding to the matching relation between the matched users ag (LI (A, k), and pb-a (l)) of each basic unit pb-a (l) corresponding to each link LI (A, k) and the matched users pb-a (l) of each basic unit pb-a (l) corresponding to each link LI (A, k) meeting the requirements preliminarily.

According to the competitive right range CA (AG (LI (A, k) and { pb-a (l)) of each link matching user AG (LI (A, k) and pb-a (l)) meeting the requirements preliminarily, each link for constructing the data product asset and the competitive right range formula PAS { AG (LI (A, k) and { pb-a (l) } m) of each primary matching user corresponding to each basic unit are determined.

Aiming at the optimal matching of the total authority of the data product assets, constructing a data product asset authority matching model, and determining links meeting the four basic role authority requirements, optimal matching users of basic units and competitive right distribution results among the links and the basic units;

the optimal target for the total authority matching of the data product asset A is that the number of matched users of each link LI (A, k) and each basic unit pb-a (l) of the data product asset A is minimum, the competition authority range in the competition authority range of each link LI (A, k) and each matched user of each basic unit pb-a (l) of the data product asset is minimum, the cooperation authority range and the LI-RO-dr (A, k, g, { pb-a (l) } m) with the four types of basic role authority requirements of each link are minimum, and the repetition authority occupation ratio of the cooperation authority range is minimum.

Establishing the total authority matching optimal target of the data product assets A as a condition function, and establishing competitive authority range formulas PAS { AG (LI (A, k), { pb-a (l) } m), CA (AG (LI (A, k), { pb-a (l) } m) and a competitive authority matching model of the preliminary matching users corresponding to links and basic units of the constructed data product assets jointly, thereby obtaining competitive authority distribution results of links, basic unit optimal matching users and the links, basic unit optimal matching users meeting four types of basic role authority requirements { BAG (LI (A, k), { pb-a (l) } m), BCA (BAG (LI (A, k), { pb-a (l) } m) } and the competitive authority distribution results among the links, the basic unit optimal matching users and the basic unit optimal matching users, wherein the BAG (LI (A, k), { pb-a (l) } m) is the optimal matching user set meeting the requirements, the link (LI (A, k), the pb-a (l) } m) is the optimal matching user set, and the optimal matching links, the link (LI (b-a, k) is the optimal matching user set.

Optionally, according to links, basic units and competitive right distribution results among the links, the basic units and the users which are optimally matched according to the four types of basic role rights requirements, controlling the rights of the links;

according to the obtained links meeting the four types of basic role authority requirements, the best matching users of the basic units and the competitive authority distribution results among the users, PAR { BAG (LI (A, k), { pb-a (l) } m), BCA (BAG (LI (A, k), { pb-a (l) } m) }.

Two authority control modes are set, one mode is that a certain link meeting requirements and an optimal matching user set BAG (LI (A, k) and { pb-a (l) } m) of a certain basic unit comprise two or more users, according to competition authority BCA (BAG (LI (A, k) and { pb-a (l) } m) of each link optimal matching user meeting requirements, a user with the highest competition authority occupation ratio in the optimal matching user set is judged, the user is enabled to have authority control authority of the link and the basic unit, and the other mode is that the link meeting requirements and the optimal matching user set BAG (LI (A, k) and { pb-a (l) }m) of the certain basic unit are organized to carry out authority control authority determination through all users, the method of obtaining consensus voting results is used for determining the control authority, and finally the authority control authority of the link and the basic unit is determined according to the voting rate.

Optionally, the user permission allocation and control are dynamically adjusted according to the internal and external environmental elements of the data product asset, the individual conditions of each user and the dynamic change of the historical competitive relationship.

And when the internal and external environment elements of the data product asset A, the individual conditions and the historical authority competition relationship of each user change, repeating the steps to dynamically adjust the user authority distribution and control.

EXAMPLE III

Referring to fig. 2, fig. 2 is a schematic structural diagram of a multi-user dynamic bidding right distribution control device according to an embodiment of the present invention:

the first processing module S301 is used for acquiring the internal environment element information and the external environment element information of the data product asset on a data platform, and constructing a demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset;

a second processing module S302, configured to establish a basic role authority table of each link of a full life cycle of the data product asset by using the demand model of the data product asset;

the third processing module S303 is used for acquiring the user authority personalized condition and the historical authority competitive relationship on the data platform, and constructing a personalized authority competitive model of the user by using the user authority personalized condition and the historical authority competitive relationship;

a fourth processing module S304, configured to determine, by using the personalized permission auction model of the user and the basic role permission requirements, a best matching user and a result of assignment of auction permission among the best matching users in each link of the full life cycle that meet the basic role permission requirements;

a fifth processing module S305, configured to control, by using the best matching user of each link in the full life cycle meeting the basic role permission requirement and a result of allocating competitive right between the best matching users, permission of each link in the full life cycle to obtain a permission control mode;

the sixth processing module S306 is configured to dynamically adjust a user' S bidding permission allocation result and permission control mode by using the internal environment element information, the external environment element information, the user permission personality condition, and the historical permission bidding relationship of the data product asset, so as to implement multi-user dynamic bidding permission allocation control.

Example four

Referring to fig. 3, fig. 3 is a schematic structural diagram of another multi-user dynamic competition right allocation control apparatus according to an embodiment of the present invention. As shown in fig. 3, the apparatus may include:

a memory 401 storing executable program code;

a processor 402 coupled to a memory 401;

the processor 402 calls the executable program code stored in the memory 401 for executing the steps of the multi-user dynamic bidding right assignment control method described in the first embodiment and the second embodiment.

The above-described embodiments of the apparatus are only illustrative, and the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above technical solutions may essentially or in part contribute to the prior art, be embodied in the form of a software product, which may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

Finally, it should be noted that: the method and the device for controlling the allocation of multi-user dynamic competition right disclosed in the embodiment of the present invention are only the preferred embodiment of the present invention, and are only used for illustrating the technical solution of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-user dynamic competition right distribution control method is characterized by comprising the following steps:

s1, acquiring internal environment element information and external environment element information of data product assets on a data platform, and constructing a demand model of the data product assets according to the internal environment element information and the external environment element information of the data product assets;

s3, acquiring the user authority personalized condition and the historical authority competitive relationship on the data platform, and constructing a personalized authority competitive model of the user by using the user authority personalized condition and the historical authority competitive relationship;

2. The multi-user dynamic competition right distribution control method according to claim 1, wherein the acquiring internal environment element information and external environment element information of the data product asset, and constructing a demand model of the data product asset according to the internal environment element information and the external environment element information of the data product asset comprises:

and acquiring a data platform historical database, and when the data product asset cannot directly provide internal environment element information and external environment element information, constructing a demand model of the data product asset by using the data platform historical database.

3. The multi-user dynamic bidding permission distribution control method according to claim 2, wherein the data platform historical database is obtained, and when the data product asset cannot directly provide the internal environment element information and the external environment element information, a demand model of the data product asset is constructed by using the data platform historical database, and the method comprises the following steps:

4. The multi-user dynamic competition contract authority distribution control method according to claim 1, wherein the establishing of the basic role authority table of each link of the full life cycle of the data product assets on the data platform by using the demand model of the data product assets comprises:

if no relation table is directly provided, digging out data product data assets which are close to the internal and external environmental elements of the data product assets in the data platform historical database by using a data mining method;

5. The multi-user dynamic competition authority distribution control method according to claim 1, wherein the obtaining of the user authority personality condition and the historical authority competition relationship on the data platform, and the building of the personalized authority competition model of the user by using the user authority personality condition and the historical authority competition relationship comprise:

6. The multi-user dynamic competition right distribution control method according to claim 1, wherein the determining of the best matching user and the competition right distribution result between the best matching users in each link of the full life cycle satisfying the basic role right requirements by using the user personalized right competition model and the basic role right requirements comprises:

constructing a data product asset authority matching model by using the competitive right range model and aiming at the optimal total authority matching of the data product asset;

7. The multi-user dynamic competition right distribution and control method according to claim 1, wherein the competition right distribution result of the best matching user of each link in the full life cycle meeting the basic role right requirement is utilized to control each link right in the full life cycle to obtain a right control mode, and the method comprises the following steps:

8. A multi-user dynamic competition right distribution control device, characterized in that the device comprises:

the second processing module is used for establishing a basic role authority list of each link of the full life cycle of the data product asset by using the demand model of the data product asset;

the third processing module is used for acquiring the user authority personalized condition and the historical authority competitive relationship on the data platform, and constructing a personalized authority competitive model of the user by using the user authority personalized condition and the historical authority competitive relationship;

the fourth processing module is used for determining the best matching user and the competition authority distribution result between the best matching users in each link of the full life cycle meeting the basic role authority requirement by utilizing the personalized authority competition model of the users and the basic role authority requirement;

a fifth processing module, configured to control the authority of each link in the full life cycle by using the best matching user of each link in the full life cycle meeting the basic role authority requirement and a competition authority allocation result between the best matching users, so as to obtain an authority control mode;

9. A multi-user dynamic competition right distribution control device, characterized in that the device comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the multi-user dynamic competition right distribution control method according to any one of claims 1 to 7.

10. A computer-readable medium storing computer instructions which, when invoked, perform a multi-user dynamic bidding right assignment control method according to any one of claims 1 to 7.