CN112631793A - Personnel data identification generation method and device - Google Patents
Personnel data identification generation method and device Download PDFInfo
- Publication number
- CN112631793A CN112631793A CN202011350387.5A CN202011350387A CN112631793A CN 112631793 A CN112631793 A CN 112631793A CN 202011350387 A CN202011350387 A CN 202011350387A CN 112631793 A CN112631793 A CN 112631793A
- Authority
- CN
- China
- Prior art keywords
- data
- personnel
- identified
- person
- personnel data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000004590 computer program Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000002372 labelling Methods 0.000 description 4
- 238000012795 verification Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/543—User-generated data transfer, e.g. clipboards, dynamic data exchange [DDE], object linking and embedding [OLE]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Software Systems (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- General Business, Economics & Management (AREA)
- Finance (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Technology Law (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention provides a personnel data identifier generation method and a device, which are used for binding the personnel data of a person to be identified in a target service and a service role in the target service, which has an association relationship with the person to be identified, so as to determine the identifier information of the personnel data, so that the identifier information has a service meaning, and the personnel data has wide applicability without independently constructing a data identifier with the service meaning. Moreover, the identification information contains more comprehensive information about personnel data, so that the personnel data can be uniformly managed, and the personnel data can be efficiently reused by adopting a uniform data representation mode.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a personnel data identification generation method and a personnel data identification generation device.
Background
Currently, for trading activities involving two or more parties, personnel data for each party needs to be collected in order to investigate the statistics. For example, a real estate transaction is a complex process involving many departments, such as an assessment institution, bank, government, etc., that is subject to local variation. For example, in the bank face-signing link, due to local differences of banks, only the bank face-signing link in the transaction process needs to determine a specific agreement to be signed according to a particularly signed loan bank branch in a city. Every agreement to be signed needs house property transaction buyer and seller and bank client manager to fill in some information so as to complete the whole bank face signing link. In order to comprehensively improve the house property transaction efficiency, the original bank surface signing link of signing an agreement from the lower side to the opposite side on line is changed into on-line information collection, then an agreement to be signed is generated according to the collected information, and agreement signing is completed on line.
Because the bank face-signing link is influenced by the local difference of the bank, the specific data of the data acquisition can be configured in a personalized way according to the specific city bank branch. In the bank face-to-face labeling link, besides the collection of loan amount and repayment mode information, the bank face-to-face labeling link mainly collects relevant information of borrowers and sellers, such as names, identity card numbers, marital conditions and the like of main borrowers and relevant information of the sellers such as names, identity card numbers, bank card numbers and the like. For a system, if the personnel information does not have a higher-level data abstraction concept, such as the identity card number of the main borrower and the identity card number of the seller, the identity card number verification conditions are required to be uniformly added to the 2 identity card numbers, and the configuration difficulty is increased for the personalized support of data acquisition realized by configuration. Because the related information of the personnel is universal, such as the information of name, identification card number, name of the current working unit and the like, the related information of the personnel is required to be managed uniformly by the dimension of the personnel. From the perspective, key fields of personnel are also unified, the identity number of the main borrower spouse and the identity number of the buyer are identified by the same key fields, but in the signing agreement, the three fields have clear business meanings, but the key fields cannot directly identify specific business meanings.
Disclosure of Invention
The embodiment of the invention provides a personnel data identification generation method and a personnel data identification generation device, which are used for overcoming the defects in the prior art.
The embodiment of the invention provides a personnel data identification generation method, which comprises the following steps:
determining personnel data of a person to be identified in a target service and a service role in the target service, wherein the service role has an association relationship with the person to be identified;
and binding the personnel data, the association relation and the service role to obtain the identification information of the personnel data.
The personnel data identification generation method according to one embodiment of the invention further comprises the following steps:
determining a data type of the personnel data;
and updating the identification information of the personnel data based on the data type.
According to the personnel data identification generation method, the data types comprise basic attributes of the personnel data, current work of the personnel to be identified, recent years of work experience and emergency contacts.
According to the personnel data identification generation method provided by the embodiment of the invention, at least one item of the service role, the incidence relation and the data type carries multiple groups of identifications, and the multiple groups of identifications are used for representing whether corresponding items have multiple groups of attributes.
According to the personnel data identification generation method provided by the embodiment of the invention, corresponding items of the multiple groups of identifications have data group number limitation; accordingly, the number of the first and second electrodes,
the binding the personnel data, the association relationship and the service role to obtain the identification information of the personnel data specifically includes:
and binding the personnel data, the association relation and the business role based on the data group number limit to obtain the identification information of the personnel data.
According to the method for generating the personnel data identifier of one embodiment of the present invention, the binding of the personnel data, the association relationship and the business role to obtain the identifier information of the personnel data further includes:
converting the identification information of the personnel data into an array;
and determining the total information of the personnel to be identified based on the array.
According to the method for generating the personnel data identifier of one embodiment of the present invention, the binding of the personnel data, the association relationship and the business role to obtain the identifier information of the personnel data further includes:
acquiring identification information of personnel data of all personnel to be identified in the target service;
and constructing a personnel relationship network of the target service based on the identification information of the personnel data of all the personnel to be identified in the target service.
The embodiment of the present invention further provides a device for generating a personal data identifier, including: the device comprises an acquisition module and an identification information determination module. Wherein,
the acquisition module is used for determining personnel data of a person to be identified in a target service and a service role in the target service, which has an association relationship with the person to be identified;
and the identification information determining module is used for binding the personnel data, the incidence relation and the service role to obtain the identification information of the personnel data.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the program, the steps of any one of the above-mentioned person data identifier generation methods are implemented.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the human data identifier generation method according to any one of the above.
According to the personnel data identification generation method and device provided by the embodiment of the invention, the personnel data of the personnel to be identified in the target service and the service role in the target service, which has an association relationship with the personnel to be identified, are bound to determine the identification information of the personnel data, so that the identification information has a service meaning, and the data identification with the service meaning does not need to be independently constructed, so that the personnel data has wide applicability. Moreover, the identification information contains more comprehensive information about personnel data, so that the personnel data can be uniformly managed, and can be efficiently reused by adopting a uniform data representation mode, namely for the transaction system A and the transaction system B related to the personnel information, the personnel data can be accurately and automatically refilled into the transaction system B from the transaction system A, so that the personnel data can be highly reused. Meanwhile, if the user fills in the personnel data once in the transaction system A, the personnel data can be used in other systems of the transaction as well. For example, the information filled in the house property transaction process can be quickly used for refilling information of personnel such as bank loan, house decoration and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for generating a personal data identifier according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a personnel relationship network of a target service in a personnel data identifier generation method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a personnel data identifier generating apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
In the prior art, the bank face-signing link is influenced by the local difference of the bank, and specific data acquired by the data acquisition can be configured in a personalized way according to a specific city bank branch. In the bank face-to-face labeling link, besides the collection of loan amount and repayment mode information, the bank face-to-face labeling link mainly collects relevant information of borrowers and sellers, such as names, identity card numbers, marital conditions and the like of main borrowers and relevant information of the sellers such as names, identity card numbers, bank card numbers and the like. For a system, if the personnel information does not have a higher-level data abstraction concept, such as the identity card number of the main borrower and the identity card number of the seller, the identity card number verification conditions are required to be uniformly added to the 2 identity card numbers, and the configuration difficulty is increased for the personalized support of data acquisition realized by configuration. Therefore, data representing the same meaning, such as the total amount of income of a family in a month, needs to be identified by the same key field, and meanwhile, basic attributes containing information such as verification types and units are set on the key field so as to be processed uniformly by the system.
Because the related information of the personnel is universal, such as the information of name, identification card number, name of the current working unit and the like, the related information of the personnel is required to be managed uniformly by the dimension of the personnel. From the perspective, key fields of personnel are also unified, the identity card number of the main borrower, the identity card number of the spouse of the main borrower and the identity card number of the buyer are identified by using the same key fields, but in the signing agreement, the three fields have clear business meanings, but the key fields cannot directly identify specific business meanings, and a data unique identifier with the business meanings needs to be constructed. Therefore, the embodiment of the invention provides a personnel data identification generation method, which is used for solving the technical problems in the prior art.
Fig. 1 is a schematic flow chart of a method for generating a personal data identifier according to an embodiment of the present invention, as shown in fig. 1, the method includes:
s1, determining personnel data of a person to be identified in a target service and a service role in the target service, wherein the service role has an association relationship with the person to be identified;
and S2, binding the personnel data, the incidence relation and the service role to obtain the identification information of the personnel data.
Specifically, the person data identifier generating method provided in the embodiment of the present invention is used to determine identifier information of person data of a person to be identified.
Step S1 is performed first. The target service specifically refers to any service that needs to determine identification information of personnel data of a person to be identified, for example, the target service may be a bank countersigning service in a bank countersigning link in a real estate transaction, or may be a service related to other transaction links, which is not specifically limited in the embodiment of the present invention. The person to be identified may refer to any person involved in the target service, may be a person directly related to the target service, that is, a person who plays a role of the service, such as both parties of a transaction in the transaction service, or may be a person indirectly related to the target service, that is, a person who does not play a role of the service, such as a person who has an interpersonal relationship with one party of the transaction service. The person data of the person to be identified may specifically include a name, an identification number, a marital status, a telephone, a work unit name, a work unit address, a name of an emergency contact, an address of the emergency contact, and the like of the person to be identified. The service role in the target service refers to a role that ensures that the target service is smoothly performed, for example, for a bank face-to-face signing service, the service role may include a main borrower, a common borrower, a seller common owner, a seller agent, and the like. The direct association relation can indicate that the person to be identified bears a certain service role in the target service, for example, if the person to be identified a is a main borrower in the bank face signing service, the association relation between the person to be identified a and the main borrower is the person who is the service role. The indirect association relationship may indicate that the person to be identified does not directly undertake any service role in the target service, but has a certain interpersonal relationship with a person undertaking a certain service role in the target service, and further has an indirect association relationship with the service role in the target service. For example, if the person B to be identified is a spouse of a main borrower in the bank face-to-face signing service, the association relationship between the person B to be identified and the main borrower in the service role is the spouse. If the person C to be identified is a father of the main borrower in the bank face-to-face signing service, the association relationship between the person C to be identified and the main borrower in the service role is a parent.
In the embodiment of the present invention, step S1 may be understood as configuring, on the basis of determining the person data of the person to be identified, a business role having an association relationship with the person to be identified for the person data.
Then, step S2 is executed. And binding the personnel data, the association relationship and the business role, namely combining the personnel data, the association relationship and the business role, establishing a corresponding relationship among the personnel data, the association relationship and the business role, and obtaining a result, namely the identification information of the personnel data of the personnel to be identified. The purpose of binding is to represent personnel data by utilizing personnel data, association relationship and service roles together, and the personnel data can be represented as identification information with a specific structure of { service role-association relationship-personnel data }. That is to say, the identification information of the person data refers to relevant information for relatively completely representing the person to be identified, and the identification information has uniqueness and business meaning. For example, if the person data of the person a to be identified is the name of the person a to be identified, and the person a to be identified is the business role of the principal borrower in the target business, the identification information of the person data of the person a to be identified may be expressed as { business role: the main borrower and the association relation are as follows: i, personnel data: name }; if the person data of the person B to be identified is the name of the person B to be identified, and the person B to be identified is a spouse of the service role, i.e., the principal borrower in the target service, the identification information of the person data of the person B to be identified may be expressed as { service role: the main borrower and the association relation are as follows: spouse, personnel data: name }; if the personnel data of the personnel B to be identified is the name of the current working unit of the personnel B to be identified, and the personnel B to be identified is a spouse of the service role, which is the principal borrower in the target service, the identification information of the personnel data of the personnel B to be identified can be expressed as { service role: the main borrower and the association relation are as follows: spouse, personnel data: unit name }; if the personnel data of the personnel B to be identified is the current work unit address of the personnel B to be identified, and the personnel B to be identified is a spouse of the service role, i.e., the principal borrower in the target service, the identification information of the personnel data of the personnel B to be identified can be expressed as { service role: the main borrower and the association relation are as follows: spouse, personnel data: unit address }.
According to the personnel data identification generation method provided by the embodiment of the invention, the personnel data of the personnel to be identified in the target service and the service role in the target service, which has an association relationship with the personnel to be identified, are bound to determine the identification information of the personnel data, so that the identification information has a service meaning, and the data identification with the service meaning does not need to be independently constructed, so that the personnel data has wide applicability. Moreover, the identification information contains more comprehensive information about personnel data, so that the personnel data can be uniformly managed, and can be efficiently reused by adopting a uniform data representation mode, namely for the transaction system A and the transaction system B related to the personnel information, the personnel data can be accurately and automatically refilled into the transaction system B from the transaction system A, so that the personnel data can be highly reused. Meanwhile, if the user fills in the personnel data once in the transaction system A, the personnel data can be used in other systems of the transaction as well. For example, the information filled in the house property transaction process can be quickly used for refilling information of personnel such as bank loan, house decoration and the like.
On the basis of the foregoing embodiment, the method for generating a person data identifier provided in the embodiment of the present invention further includes:
determining a data type of the personnel data;
and updating the identification information of the personnel data based on the data type.
Specifically, the data type of the personnel data refers to a classification of a category or a range, and specifically may include a basic attribute, a current work, a last 3 years work experience, an emergency contact, and the like, where the personnel data of which the data type is the basic attribute may include a name, an identification number, a marital status, and a telephone of a person to be identified, the personnel data of which the data type is the current work may include a name of a work unit and an address of the work unit, the personnel data of which the data type is the last 3 years work experience may include a name of the work unit and an address of the work unit, and the personnel data of which the data type is the emergency contact may include a name, a telephone, and the like of the emergency contact. Specifically, the results are shown in Table 1.
TABLE 1 correspondence between data types and personnel data
And updating the identification information of the personnel data through the data type. Specifically, the data type and the personnel data, the association relationship and the service role in the identification information can be bound, and the corresponding relationship among the personnel data, the data type, the association relationship and the service role is established to obtain new identification information of the personnel data. The purpose of updating is to represent the personnel data by utilizing the personnel data, the data model, the association relation and the business role together, the personnel data can be represented as identification information with a specific structure of { business role-association relation-data type-personnel data }, and the identification information has business meaning because the identification information contains the business role. That is to say, the identification information of the person data refers to relevant information for relatively completely representing the person to be identified, and the identification information has uniqueness and business meaning. That is to say, the identification information of the person data refers to relevant information for relatively completely representing the person to be identified, and the identification information has uniqueness and business meaning. For example, if the person data of the person a to be identified is the name of the person a to be identified, and the person a to be identified is the business role of the principal borrower in the target business, the identification information of the person data of the person a to be identified may be expressed as { business role: the main borrower and the association relation are as follows: i, data type: basic attributes, personnel data: name }; if the person data of the person B to be identified is the name of the person B to be identified, and the person B to be identified is a spouse of the service role, i.e., the principal borrower in the target service, the identification information of the person data of the person B to be identified may be expressed as { service role: the main borrower and the association relation are as follows: spouse, data type: basic attributes, personnel data: name }; if the personnel data of the personnel B to be identified is the name of the current working unit of the personnel B to be identified, and the personnel B to be identified is a spouse of the service role, which is the principal borrower in the target service, the identification information of the personnel data of the personnel B to be identified can be expressed as { service role: the main borrower and the association relation are as follows: spouse, data type: current work, personnel data: unit name }; if the personnel data of the personnel B to be identified is the current work unit address of the personnel B to be identified, and the personnel B to be identified is a spouse of the service role, i.e., the principal borrower in the target service, the identification information of the personnel data of the personnel B to be identified can be expressed as { service role: the main borrower and the association relation are as follows: spouse, data type: current work, personnel data: unit address }.
The data type is introduced into the identification information in the embodiment of the invention, so that the identification information contains more comprehensive information about personnel data, the personnel data can be uniformly managed, and the personnel data can be efficiently reused by adopting a uniform data representation mode.
On the basis of the above embodiment, in the method for generating a personal data identifier provided in the embodiment of the present invention, the data type includes a basic attribute of the personal data, the current work of the person to be identified, the recent years of work experience, and an emergency contact.
Specifically, the data type in the embodiment of the present invention may be specifically a criterion set by a human for classifying the human data. The years in recent years of work experience may be specifically 3 years, and may also be other years.
On the basis of the above embodiment, in the method for generating a personal data identifier provided in the embodiment of the present invention, at least one of the service role, the association relationship, and the data type carries multiple sets of identifiers, and the multiple sets of identifiers are used to represent whether corresponding items have multiple sets of attributes.
Specifically, in the business role, the association relationship and the data type, there are multiple sets of attributes, and the attributes refer to whether there are multiple sets of attributes, and are not related to the personnel data. For example, the last 3 years of work experience, by itself, includes the first year of work experience, the second year of work experience, and the third year of work experience; for example, a child in the association relationship may have a plurality of groups of attributes because there may be a plurality of children; similarly, the seller in the business role has multiple sets of attributes. In the embodiment of the invention, whether the service role, the incidence relation and the data type have multiple groups of attributes is represented by whether the service role, the incidence relation and the data type carry multiple groups of identifiers, if the service role, the incidence relation and the data type carry multiple groups of identifiers, the service role, the incidence relation and the data type have multiple groups of attributes, if the service role, the incidence relation and the data type carry multiple groups of identifiers. The corresponding item is an item carrying multiple groups of identifiers, and may specifically be a service role, an association relationship, or a data type.
For example: if the personnel data are as follows: the unit name of the working experience of the master borrower spouse in the last 3 years, the identification information of the personnel data can specifically represent that:
the service roles and the association relations are not provided with multiple groups, the data types are provided with multiple groups, which means how much data exist in the specific scene in the last 3 years of work experience, and the working units are not provided with multiple groups. The most recent 3-year work experience is a plurality of groups, such as 2019.1-2020.1 work experience of company XXX and 2020.2-2020.5 work experience of company XXX. Each work experience will contain information about the name, address, and phone of the job company. Thus, the concept of multiple groups is that a work experience is that of multiple groups of companies, rather than one work experience, such as 2019.1-2020.1 job XXX company names are multiple.
If the personnel data are: the seller shares names of persons and children, and the identification information of the person data can be specifically expressed as:
the multiple groups of the business roles mean that multiple groups of the sellers can exist in the common owner; multiple sets of associations refer to multiple sets of children. It should be noted that, when there are multiple sets of the seller, the following data will also be presented. If the children of the seller owner 1 are in multiple groups; the children of the seller pool owner 2 are also multi-grouped.
Therefore, when there are multiple sets of at least one of the standard role, the standard relationship, or the data type when the identification information of the person data is determined, it is necessary to add multiple sets of identifications, which can be identified as [ multiple sets ], to the corresponding item. Meanwhile, for data of the basic attribute, the data type thereof may be set to null. The personnel data are as follows: the unit name of the working experience of the master borrower spouse in the last 3 years, the identification information of the personnel data can be expressed as: { business role: the main borrower and the association relation are as follows: spouse, data type: the last 3 years of work experience [ multigroup ], personnel data: unit name }; personnel data is: the seller shares names of persons and children, and the identification information of the person data can be expressed as: { business role: seller sharer [ multigroup ], association: children [ groups ], personal data: name }.
In the embodiment of the invention, a plurality of groups of identifiers can be introduced into the service roles, the association relation and the data types to represent whether the corresponding items have a plurality of groups of attributes, so that the information represented by the identifier information of the personnel data can be more comprehensive.
On the basis of the above embodiment, the corresponding items of the plurality of sets of identifiers have a data set number limit; accordingly, the number of the first and second electrodes,
the binding the personnel data, the association relationship and the service role to obtain the identification information of the personnel data specifically includes:
and binding the personnel data, the association relation and the business role based on the data group number limit to obtain the identification information of the personnel data.
Specifically, when at least one of the standard role, the standard relationship, or the data type has multiple groups, the corresponding items of the multiple groups of identifiers have a data group number limit, that is, the maximum value of the data group number that the corresponding items of the multiple groups of identifiers can have, for example, in a bank face-to-face link, the corresponding items of each multiple group of identifiers have an upper limit of collection, for example, if the total number of sellers has at most 3 groups; the child information in the association relationship of the main borrower can be filled in 2 groups at most, and the work experience in the last 3 years can be filled in 3 groups at most. For example, if the seller has multiple sets of identities with a data set number limited to 3, then if the personnel data is: the seller shares a name of a spouse, and the identification information of the personnel data may be specifically { business role: seller owner [1], association: spouse, personnel data: name }, { business role: seller owner [2], association: spouse, personnel data: name }, { business role: seller sharer [3], association: spouse, personnel data: name }.
In the embodiment of the invention, the limitation of the number of the data groups is introduced, the validity of the identification information of the personnel data can be ensured, and the size of the identification information can be limited, so that the identification information can occupy less memory.
On the basis of the above embodiment, the binding the personnel data, the association relationship, and the service role to obtain the identification information of the personnel data further includes:
converting the identification information of the personnel data into an array;
and determining the total information of the personnel to be identified based on the array.
Specifically, in the embodiment of the invention, the identification information of the personnel data of the personnel to be identified can be converted into the array of the relation tree with the business meaning, so that the association relation of the personnel to be identified can be conveniently and quickly known, and the whole information of the personnel to be identified, namely all information, can be directly taken out.
For example, the person data is:
name of the principal borrower
Identity card number of principal and borrower
Status of the owner and borrower
Name of host borrower, current work and work unit
Address of current working unit of main borrower
Name of the master and borrower
Principal and borrowed person, spouse and identity card number
The work experience of the owner, the spouse and the recent 3 years [1]. the name of the work unit
The work experience of the owner, the spouse and the recent 3 years [1]. work unit address
The name of the working unit of the owner, the borrower, the spouse and the recent 3 years of work experience [2]. work
The work experience of the owner, the spouse and the recent 3 years is 2. the work unit address
The transformed array can be represented as:
after the array is obtained, all information of the main borrower can be obtained: the key word in the array is the value of "primary borrower". Meanwhile, all information of the master borrower spouse can be obtained: the keywords in the array are the values of the main borrower and the spouse. (note: all the information obtained is a two-dimensional array).
On the basis of the above embodiment, the obtaining of the identification information of the personal data based on the personal data, the service role, the binding of the personal data, the association relationship, and the service role further includes:
acquiring identification information of personnel data of all personnel to be identified in the target service;
and constructing a personnel relationship network of the target service based on the identification information of the personnel data of all the personnel to be identified in the target service.
Specifically, after the identification information of the personnel data is determined, the identification information of the personnel data of all the personnel to be identified in the target service can be obtained, then the obtained identification information of the personnel data of all the personnel to be identified is summarized and summarized, and the personnel relationship network of the target service is drawn. For example, if the relationship of the main borrower in the target business includes spouse, child 1 and child 2, the personal relationship network of the target business can be represented by fig. 2.
In summary, according to the personnel data identification generation method provided in the embodiment of the present invention, the obtained identification information of the personnel data is data-unique identification data including a business role, an association relationship, a data type and the personnel data, so that a business meaning can be well expressed, when big data analysis is performed, data aggregation analysis can be performed by using the identification information, so as to obtain a personnel relationship network, which is beneficial to multiplexing of information of both parties in house transaction, for example, a buyer in house transaction is Zhang III, and a seller in house transaction B is Zhang III (i.e., a house-changing scene of Zhang III), at this time, if Zhang III fills information of an individual and a spouse in house transaction A, complete information does not need to be filled again in Zhang III in house transaction B, and the information of Zhang III can be automatically refilled in house transaction B mainly according to an identity card number and a name. Therefore, efficient and accurate multiplexing of personnel information on house property transactions is achieved.
In contrast, if there is no specific association between the buyer and the buyer spouse, the buyer name and the buyer spouse name cannot be recognized as a spouse relationship quickly when they are seen, and the result of data analysis cannot be 100% accurate. At this time, if the transaction information of the third house A is backfilled to the transaction of the third house B, the user experience is affected. Meanwhile, if the wrong information is exposed to other users, for example, the information of lie four is mistaken to be a Zhang III spouse, and the information of lie four is exposed to the information of Zhang III, the information of lie four can be leaked. However, the identification information with business meaning generated based on the method provided by the embodiment of the invention can accurately analyze the personnel relationship network when the big data is analyzed, and the problem of information leakage safety is avoided.
As shown in fig. 3, on the basis of the above embodiment, an embodiment of the present invention provides a personal data identifier generating apparatus, including: an acquisition module 31 and an identification information determination module 32. Wherein,
the acquiring module 31 is configured to determine staff data of a staff to be identified in a target service and a service role in the target service, where the business role has an association relationship with the staff to be identified;
the identification information determining module 32 is configured to bind the personnel data, the association relationship, and the service role to obtain identification information of the personnel data.
Specifically, the role of each module in the personnel data identifier generating device provided in the embodiment of the present invention is in one-to-one correspondence with the operation flow of each step in the above method embodiments, and the implementation effect is also consistent.
On the basis of the above embodiment, in the personnel data identifier generating apparatus provided in the embodiment of the present invention, at least one of the service role, the association relationship, and the data type carries multiple sets of identifiers, and the multiple sets of identifiers are used to represent whether corresponding items have multiple sets of attributes.
On the basis of the foregoing embodiment, in the apparatus for generating a personal data identifier provided in the embodiment of the present invention, the obtaining module is further configured to:
determining a data type of the personnel data;
accordingly, the identification information determining module is further configured to:
and updating the identification information of the personnel data based on the data type.
On the basis of the above embodiment, in the personnel data identification generation apparatus provided in the embodiment of the present invention, the data types include basic attributes of the personnel data, current work of the personnel to be identified, recent years of work experience, and emergency contacts.
On the basis of the above embodiment, in the personnel data identifier generating apparatus provided in the embodiment of the present invention, at least one of the service role, the association relationship, and the data type carries multiple sets of identifiers, and the multiple sets of identifiers are used to represent whether corresponding items have multiple sets of attributes.
On the basis of the above embodiment, in the personnel data identifier generating apparatus provided in the embodiment of the present invention, the corresponding items of the multiple sets of identifiers have data set number limitations; accordingly, the number of the first and second electrodes,
the identification information determination module is specifically configured to:
based on the data group number limitation, the personnel data, the association relation and the business role are bound to obtain the identification information of the personnel data
On the basis of the foregoing embodiment, the apparatus for generating personal data identifier according to the embodiment of the present invention further includes: a gross information determination module to:
converting the identification information of the personnel data into an array;
and determining the total information of the personnel to be identified based on the array.
On the basis of the foregoing embodiment, the apparatus for generating personal data identifier according to the embodiment of the present invention further includes: a personal relationship network construction module to:
acquiring identification information of personnel data of all personnel to be identified in the target service;
and constructing a personnel relationship network of the target service based on the identification information of the personnel data of all the personnel to be identified in the target service.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a person data identification generation method comprising: determining personnel data of a person to be identified in a target service and a service role in the target service, wherein the service role has an association relationship with the person to be identified; and binding the personnel data, the association relation and the service role to obtain the identification information of the personnel data.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the personnel data identification generation method provided by the above-mentioned method embodiments, including: determining personnel data of a person to be identified in a target service and a service role in the target service, wherein the service role has an association relationship with the person to be identified; and binding the personnel data, the association relation and the service role to obtain the identification information of the personnel data.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the person data identifier generating method provided in the foregoing embodiments when executed by a processor, and the method includes: determining personnel data of a person to be identified in a target service and a service role in the target service, wherein the service role has an association relationship with the person to be identified; and binding the personnel data, the association relation and the service role to obtain the identification information of the personnel data.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the 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 description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A personnel data identification generation method is characterized by comprising the following steps:
determining personnel data of a person to be identified in a target service and a service role in the target service, wherein the service role has an association relationship with the person to be identified;
and binding the personnel data, the association relation and the service role to obtain the identification information of the personnel data.
2. The person data identification generation method according to claim 1, further comprising:
determining a data type of the personnel data;
and updating the identification information of the personnel data based on the data type.
3. The personnel data identification generation method of claim 2 wherein the data types include basic attributes of the personnel data, current work of the personnel to be identified, recent years of work experience, and emergency contacts.
4. The method according to claim 2, wherein at least one of the service role, the association relationship, and the data type carries multiple sets of identifiers, and the multiple sets of identifiers are used to represent whether corresponding items have multiple sets of attributes.
5. The person data identification generation method according to claim 4, wherein the corresponding items of the plurality of sets of identifications have a data set number limit; accordingly, the number of the first and second electrodes,
the binding the personnel data, the association relationship and the service role to obtain the identification information of the personnel data specifically includes:
and binding the personnel data, the association relation and the business role based on the data group number limit to obtain the identification information of the personnel data.
6. The method for generating personal data identifier according to any one of claims 1 to 5, wherein the binding the personal data, the association relationship, and the business role to obtain identifier information of the personal data further comprises:
converting the identification information of the personnel data into an array;
and determining the total information of the personnel to be identified based on the array.
7. The method for generating personal data identifier according to any one of claims 1 to 5, wherein the binding the personal data, the association relationship, and the business role to obtain identifier information of the personal data further comprises:
acquiring identification information of personnel data of all personnel to be identified in the target service;
and constructing a personnel relationship network of the target service based on the identification information of the personnel data of all the personnel to be identified in the target service.
8. A person data identification generation apparatus, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for determining personnel data of a person to be identified in a target service and a service role in the target service, which has an association relationship with the person to be identified;
and the identification information determining module is used for binding the personnel data, the incidence relation and the service role to obtain the identification information of the personnel data.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the person data identification generation method according to any of claims 1 to 6 are implemented when the processor executes the program.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the person data identity generation method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011350387.5A CN112631793A (en) | 2020-11-26 | 2020-11-26 | Personnel data identification generation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011350387.5A CN112631793A (en) | 2020-11-26 | 2020-11-26 | Personnel data identification generation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112631793A true CN112631793A (en) | 2021-04-09 |
Family
ID=75304060
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011350387.5A Pending CN112631793A (en) | 2020-11-26 | 2020-11-26 | Personnel data identification generation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112631793A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU728124B3 (en) * | 1999-03-30 | 2001-01-04 | Auto Repairs National Information Exchange Pty. Ltd. | A claims system |
| CN101963990A (en) * | 2010-10-09 | 2011-02-02 | 吴刚 | Digital modeling and searching method for personal relationships and events |
| CN103581143A (en) * | 2012-08-03 | 2014-02-12 | 北京亿赞普网络技术有限公司 | User authority authentication method, system, client side and server side |
| CN107220331A (en) * | 2017-05-24 | 2017-09-29 | 成都明途科技有限公司 | A kind of data managing method of multidimension type |
| CN107679422A (en) * | 2017-10-25 | 2018-02-09 | 厦门市美亚柏科信息股份有限公司 | Role-security management method, terminal device and storage medium based on various dimensions |
| CN110610406A (en) * | 2019-09-20 | 2019-12-24 | 上海同在互联网科技有限公司 | Business process configuration method and device, computer equipment and storage medium |
| CN111382323A (en) * | 2018-12-29 | 2020-07-07 | 贵州白山云科技股份有限公司 | Data retrieval optimization method and device and computer equipment |
| CN111858582A (en) * | 2020-06-12 | 2020-10-30 | 贝壳技术有限公司 | Configuration method and device of composite information |
-
2020
- 2020-11-26 CN CN202011350387.5A patent/CN112631793A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU728124B3 (en) * | 1999-03-30 | 2001-01-04 | Auto Repairs National Information Exchange Pty. Ltd. | A claims system |
| CN101963990A (en) * | 2010-10-09 | 2011-02-02 | 吴刚 | Digital modeling and searching method for personal relationships and events |
| CN103581143A (en) * | 2012-08-03 | 2014-02-12 | 北京亿赞普网络技术有限公司 | User authority authentication method, system, client side and server side |
| CN107220331A (en) * | 2017-05-24 | 2017-09-29 | 成都明途科技有限公司 | A kind of data managing method of multidimension type |
| CN107679422A (en) * | 2017-10-25 | 2018-02-09 | 厦门市美亚柏科信息股份有限公司 | Role-security management method, terminal device and storage medium based on various dimensions |
| CN111382323A (en) * | 2018-12-29 | 2020-07-07 | 贵州白山云科技股份有限公司 | Data retrieval optimization method and device and computer equipment |
| CN110610406A (en) * | 2019-09-20 | 2019-12-24 | 上海同在互联网科技有限公司 | Business process configuration method and device, computer equipment and storage medium |
| CN111858582A (en) * | 2020-06-12 | 2020-10-30 | 贝壳技术有限公司 | Configuration method and device of composite information |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103164416B (en) | The recognition methods of a kind of customer relationship and equipment | |
| CN109242681B (en) | Asset data storage method, device, equipment and system | |
| CN112801498B (en) | Training method of risk identification model, risk identification method, device and equipment | |
| CN112418274B (en) | Decision tree generation method and device | |
| CN109345417A (en) | The on-line examination method and terminal device of the business personnel of identity-based certification | |
| CN110019754A (en) | A kind of method for building up of knowledge base, device and equipment | |
| CN110796539A (en) | Credit investigation evaluation method and device | |
| CN111127222A (en) | Business service processing method, device, equipment and storage medium | |
| CN110019542A (en) | The method, apparatus of the generation method of business connection, generation organizational member database and identification member of the same name in enterprise's map | |
| CN108564461A (en) | A kind of resource allocation method, computer readable storage medium and terminal device | |
| CN111932310A (en) | Method and device for mining potential public customers of bank products | |
| CN116362737B (en) | Account clustering method and device, computer readable storage medium and terminal | |
| CN114238397A (en) | User data processing method, device, equipment, storage medium and program product | |
| CN112559921A (en) | Method, system and storage medium for realizing bank information visualization | |
| CN112508472A (en) | Method and system for viewing order information of same account by multiple persons | |
| CN117094764A (en) | Bank integral processing method and device | |
| CN116451279A (en) | Data processing method, device, equipment and readable storage medium | |
| CN112631793A (en) | Personnel data identification generation method and device | |
| JP2002157422A (en) | Credit method and recording medium | |
| CN114493838A (en) | Home decoration company risk identification method and device, terminal and storage medium | |
| Islam et al. | Mobile money and investment by women businesses in sub-Saharan Africa | |
| CN107741932A (en) | User data fusion method and system | |
| CN112287024A (en) | Credit investigation management system based on block chain | |
| CN112115137B (en) | Data configuration method and device | |
| CN114971878B (en) | Risk assessment method, risk assessment device, apparatus and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210409 |