CN116843111A - Population data label generation method, device and medium based on basic management - Google Patents
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Abstract
The application discloses a population data label generation method, equipment and medium based on basic management, wherein the method comprises the following steps: receiving a population data label generation request uploaded by a basic management system to obtain population data; determining a service system interface to be called according to preset label generation conditions; determining whether the population data has a unique identity of the user; if yes, calling a service system interface, and traversing the identity unique mark in the service system; when traversing is completed, determining corresponding service data of a user in a service system; and generating user labels corresponding to the population data according to the label generation conditions, the population data and the business data. The method can use the identity unique identification as a medium, and call the service system interface through the tag generation condition, so that the service data is compared with the tag generation condition, and when the tag generation condition is met, the user tag is automatically generated, and the population data tag generation efficiency and accuracy can be improved.
Description
Technical Field
The application relates to the technical field of data management, in particular to a population data tag generation method, device and medium based on basic management.
Background
The basic level treatment is a basic stone for national treatment, and is a basic project for realizing modernization of national treatment system and treatment capability.
Because population data relates to a plurality of businesses of a basic management scene, population data management is always a pain point and a difficulty of basic management work, basic management staff bears the work of population data acquisition, standing book carding and reporting and the like issued by a plurality of vertical lines, and because relevant departments have different working requirements on communities and different collected information, the population data is related to a plurality of types of population data, such as A type information, B type information, C type information and the like.
At present, due to the lack of fine management of data, basic-level treatment staff repeatedly touch and arrange to collect relevant population information, and label population data in a manual mode, so that the basic-level treatment staff is high in pressure, and the problems of unclear population base, untimely updating, inaccurate data and the like occur, so that the generation efficiency and the accuracy of population data labels for basic-level treatment are low.
Disclosure of Invention
The embodiment of the application provides a population data label generation method, equipment and medium based on basic management, which are used for solving the problems of low population data label generation efficiency and low accuracy of basic management.
The embodiment of the application adopts the following technical scheme:
in one aspect, an embodiment of the present application provides a method for generating population data labels based on primary treatment, where the method includes: receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data; determining a service system interface to be called according to preset label generation conditions; determining whether the population data has a unique identity of a user; if yes, calling the service system interface, and traversing the identity unique identifier in the service system; when traversing is completed, determining corresponding service data of the user in the service system; and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
In one example, the generating the user tag corresponding to the demographic data according to the preset tag generation condition, the demographic data and the service data specifically includes: judging whether the service data meets the label generation condition or not; if yes, matching the business data with the population data; if the matching is successful, generating a label corresponding to the label generating condition; and generating the user label corresponding to the population data according to the label corresponding to the label generation condition.
In one example, the generating the user tag corresponding to the demographic data according to the tag corresponding to the tag generation condition specifically includes: if the label generating conditions are multiple, labels corresponding to each label generating condition are provided; converting a plurality of labels into sentence labels according to a preset label sentence generating rule; determining the statement label as a user label corresponding to the population data; and if the label generating condition is single, determining the label corresponding to the label generating condition as the user label corresponding to the population data.
In one example, the method further comprises: if the matching of the business data and the population data fails, judging whether the population data has a field corresponding to the business data or not; if yes, generating population data error prompt information, and feeding back the population data error prompt information to a base layer treatment system to confirm whether to update unmatched data in the population data; and updating the status of failed matching of the business data and the population data to a successful matching status after updating the unmatched data in the population data.
In one example, the method further comprises: if the population data does not have the field corresponding to the service data, generating population data missing prompt information, and feeding back the population data missing prompt information to the base management system to confirm whether the missing data in the population data is complemented; and updating the status of failed matching of the business data and the population data into the status of successful matching after the missing data in the population data is complemented.
In one example, the determining whether the service data meets the tag generation condition specifically includes: determining a plurality of condition fields in the tag generation condition; judging whether a field corresponding to the service data has a matching relationship with one or more condition fields; if yes, determining that the service data meets the label generation condition; if not, determining that the service data does not meet the label generation condition.
In one example, the method further comprises: if the service data does not meet the tag generation conditions, generating verification notification information of the tag generation conditions, and sending the verification notification information to a tag generation condition verification terminal to verify whether the tag generation conditions need to be updated or not; when the condition that the label generation condition needs to be updated is confirmed, updating the state that the service data does not meet the label generation condition to the state that the service data meets the label generation condition; and when the label generating condition is confirmed to be not updated, no label corresponding to the label generating condition is generated.
In one example, the method further comprises: if the population data does not have the unique identity of the user, searching the fields of the population data in a pre-constructed identity mapping table to determine whether the population data has the identity association field; if yes, determining whether the identity association field is retrieved in a base layer treatment database; if yes, determining the unique identity of the user according to the identity association field; if not, generating identity loss notification information, and feeding the identity loss notification information back to the base layer treatment system.
In another aspect, an embodiment of the present application provides a demographic data tag generating device based on primary treatment, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to: receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data; determining a service system interface to be called according to preset label generation conditions; determining whether the population data has a unique identity of a user; if yes, calling the service system interface, and traversing the identity unique identifier in the service system; when traversing is completed, determining corresponding service data of the user in the service system; and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
In another aspect, embodiments of the present application provide a non-volatile computer storage medium storing computer-executable instructions for generating demographic data labels based on primary treatment, the computer-executable instructions configured to: receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data; determining a service system interface to be called according to preset label generation conditions; determining whether the population data has a unique identity of a user; if yes, calling the service system interface, and traversing the identity unique identifier in the service system; when traversing is completed, determining corresponding service data of the user in the service system; and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
The above at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects:
the method has the advantages that the unique identity mark is used as a medium, the service system interface is called through the tag generation condition, so that service data is compared with the tag generation condition, when the tag generation condition is met, the user tag is automatically generated, so that population data tag generation efficiency and accuracy can be improved, and the problem that a base worker can master various information inaccurately and untimely in a jurisdiction, fine management of the base population data is realized, various service scenes of base management are supported, and active service capability of the base is improved.
Drawings
In order to more clearly illustrate the technical solution of the present application, some embodiments of the present application will be described in detail below with reference to the accompanying drawings, in which:
FIG. 1 is a schematic flow chart of a population data tag generation method based on primary treatment according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a demographic data tag generating device based on primary treatment according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a population data tag generation method based on primary treatment according to an embodiment of the present application. Some of the input parameters or intermediate results in the flow allow for manual intervention adjustments to help improve accuracy.
The implementation of the analysis method according to the embodiment of the present application may be a terminal device or a server, which is not particularly limited in the present application. For ease of understanding and description, the following embodiments are described in detail with reference to a server.
It should be noted that the server may be a single device, or may be a system formed by a plurality of devices, that is, a distributed server, which is not particularly limited in the present application.
The flow in fig. 1 may include the steps of:
s101: and receiving a population data label generation request uploaded by the basic management system, and analyzing the population data label generation request to obtain population data.
It should be noted that, the demographic data may be collected by the primary worker.
S102: and determining a business system interface to be called according to preset label generation conditions.
For example, the service system may include an a system, a B system, a C system, and the like, and for example, the service system may include an electronic license system, a comprehensive treatment system (including population name, identity card), and the like.
In constructing the tag generation conditions, a traffic class of tags is first created, and then the tags, such as x-tags, y-tags, etc., are created under the traffic class. And sets information such as tag names, usage rights, etc., wherein the usage rights include disclosure, designated jurisdiction scope, visible only by oneself, etc. Then, the tag generation conditions, for example, the tag generation conditions of the x tag, are set according to the service requirements, and then the x1, x2 and x3 data need to be included.
S103: it is determined whether there is a unique identity of the user in the demographic data.
The unique identity of the user refers to an identity card of the user.
In the embodiment of the present application, if the demographic data does not have the unique identity of the user, it is necessary to infer from the demographic data at this time whether the unique identity of the user can be inferred, and if it cannot be inferred, S104-S106 are not executed.
Specifically, in the pre-constructed identification mapping table, the fields of the population data are searched to determine whether the population data has the identification association fields. It should be noted that, the identity mapping table includes a mapping relationship between the identity field and the identity association field. For example, the identification association field is name, contact, etc.
If so, determining whether the identification association field is retrieved in the base layer governance database. That is, the user may have previously registered personal information that is stored in the base layer remediation database.
If yes, determining the unique identity of the user according to the identity association field.
That is, the unique identity of the user can be queried through the identity association field. It should be noted that if a plurality of different records are queried through the id query id association field.
For example, if two different records are queried through the name, if other identification related fields exist, screening is performed again through the other identification related fields. For example, the current population data is confirmed to be specific to which record by screening through contact modes.
If the base layer management system does not have other identity identification associated fields, two different records are fed back to the base layer management system, so that base layer management staff can confirm the base layer management system.
If not, generating identity loss notification information, and feeding the identity loss notification information back to the base layer treatment system.
S104: if yes, calling the service system interface, and traversing the identity unique identifier in the service system.
S105: and when the traversing is completed, determining corresponding service data of the user in the service system.
For example, when the service system is a D management system, the service data includes D1, D2, D3, and the like.
S106: and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
In some embodiments of the present application, the service data may or may not satisfy the tag generation condition.
When judging whether or not the service data satisfies the tag generation condition, first, a plurality of condition fields in the tag generation condition are specified. Then, it is determined whether a field corresponding to the service data has a matching relationship with one or more condition fields. For example, the service data field corresponding to the E management system needs to have a matching relationship with the condition fields of E1, E2, and E3 at the same time.
And if yes, determining that the service data meets the label generation condition. If not, determining that the service data does not meet the label generation condition.
If the service data does not satisfy the tag generation condition, for example, if a condition field that can prove that the user belongs to the tag is missing in the tag generation condition, the missing condition field may be included in the service data at this time, but the service data does not satisfy the tag generation condition as a result of the determination, and the tag corresponding to the tag generation condition cannot be generated.
Specifically, it is necessary to generate verification notification information of the tag generation condition, and the verification notification information is transmitted to the tag generation condition verification terminal to verify whether the tag generation condition needs to be updated.
When the condition that the label generation condition needs to be updated is confirmed, the state that the service data does not meet the label generation condition is updated to the state that the service data meets the label generation condition. When updating is needed, the condition field which can prove that the user belongs to the label is deleted when the basic management staff sets the label generation condition.
When it is confirmed that the tag generation condition does not need to be updated, the tag corresponding to the tag generation condition is not generated.
Based on this, if the business data satisfies the tag generation condition, the business data is matched with the population data.
When the service data satisfies the tag generation condition, the field describing the service data satisfies the condition field of the tag generation condition, and the field of the population data may also include the field of the service data. However, because the population data is acquired by the basic management staff based on the user filling information, the basic management staff inputs errors to the basic management system, or the errors of the user filling lead to errors of field data in the population data, so that the business data in the business system are used as the reference. In addition, incomplete filling and partial data missing may occur. Thus, by matching business data with demographic data, error data and missing data of the demographic data are automatically found.
In some embodiments of the present application, if the matching is successful, a label corresponding to the label generating condition is generated, so that a user label corresponding to the demographic data is generated according to the label corresponding to the label generating condition.
And when all field data of the service data can be successfully matched in the population data, determining that the matching is successful.
It should be noted that, demographic data may have multiple tags at the same time. Thus, the demographic data is matched with a plurality of tag generation conditions to determine a plurality of tags to which the demographic data corresponds.
Specifically, if there are a plurality of tag generation conditions, there are tags corresponding to each tag generation condition. Then, the plurality of labels are converted into sentence labels according to a preset label sentence generation rule. And finally, determining the sentence label as a user label corresponding to the population data.
The tag sentence generation rule may be set based on a chinese logic expression rule.
It can be understood that the basic management staff can more intuitively know a plurality of labels of the user through statement labels.
If the tag generation condition is single, the tag corresponding to the tag generation condition is determined as the user tag corresponding to the demographic data.
In some embodiments of the present application, there is a possibility that the matching between the business data and the population data fails, so that the field data of the business data cannot find a matching relationship in the population data, for example, the field data a and b of the business data, the field data a can find the data corresponding to the matching, and the field data b cannot find the data corresponding to the matching. At this time, it is explained that the demographic data may not have the field corresponding to the field data b itself or may have the corresponding field, but the field data is erroneous.
Based on the above, if the matching of the business data and the population data fails, it is determined whether the population data has a field corresponding to the business data.
If so, generating population data error prompt information, and feeding back the population data error prompt information to the base layer treatment system to confirm whether to update unmatched data in the population data.
After the unmatched data in the population data is updated, the status that the service data and the population data are failed to be matched is updated to be the successful status.
And if the population data does not have the field corresponding to the business data, generating population data missing prompt information, and feeding back the population data missing prompt information to the base management system to confirm whether to complement the missing data in the population data.
After the missing data in the population data is complemented, the status of failed matching of the business data and the population data is updated to the status of successful matching.
It should be noted that, part of the tags may be judged by constructing tag generation conditions having service logic without calling the service system.
For example, if it is determined that the old person is judged by age, and the age can be judged by the identity unique identifier, the tag generation condition can be set by calculating a logic rule: for example, when an identity card number exists, the age is calculated according to the identity card number, when no identity card number exists, the identity card number needs to be in a basic management database, when an identity mark association field cannot be found, if population data comprises birth date data, the age can be calculated according to the birth date, when the age is 60 years old, the age is the old, and because the birth date data in the population data is not ensured to be accurate, whether the old label is generated is confirmed to basic management staff.
It should be noted that, although the embodiment of the present application is described with reference to fig. 1 to sequentially describe steps S101 to S106, this does not represent that steps S101 to S106 must be performed in strict order. The steps S101 to S106 are sequentially described according to the sequence shown in fig. 1 according to the embodiment of the present application, so as to facilitate the understanding of the technical solution of the embodiment of the present application by those skilled in the art. In other words, in the embodiment of the present application, the sequence between the steps S101 to S106 may be appropriately adjusted according to the actual needs.
The method of FIG. 1 can call a service system interface by using an identity unique identifier as a medium through a tag generation condition, so that service data and the tag generation condition are compared, and when the tag generation condition is met, a user tag is automatically generated, so that population data tag generation efficiency and accuracy can be improved, and the problem that a base worker can master various information in a jurisdiction inaccurately and untimely, realize refined management of the population data of the base layer, support various service scenes of the base layer treatment and improve active service capability of the base layer by sinking service data of a related service system into the base layer treatment system is solved.
Based on the same thought, some embodiments of the present application also provide a device and a non-volatile computer storage medium corresponding to the above method.
Fig. 2 is a schematic structural diagram of a demographic data tag generating device based on primary treatment according to an embodiment of the present application, including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data;
determining a service system interface to be called according to preset label generation conditions;
determining whether the population data has a unique identity of a user;
if yes, calling the service system interface, and traversing the identity unique identifier in the service system;
when traversing is completed, determining corresponding service data of the user in the service system;
and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
Some embodiments of the present application provide a non-volatile computer storage medium storing computer-executable instructions for generating demographic data labels based on primary treatment, the computer-executable instructions configured to:
receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data;
determining a service system interface to be called according to preset label generation conditions;
determining whether the population data has a unique identity of a user;
if yes, calling the service system interface, and traversing the identity unique identifier in the service system;
when traversing is completed, determining corresponding service data of the user in the service system;
and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.
The devices and media provided in the embodiments of the present application are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the technical principle of the present application should fall within the protection scope of the present application.
Claims (10)
1. A demographic data tag generation method based on primary governance, the method comprising:
receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data;
determining a service system interface to be called according to preset label generation conditions;
determining whether the population data has a unique identity of a user;
if yes, calling the service system interface, and traversing the identity unique identifier in the service system;
when traversing is completed, determining corresponding service data of the user in the service system;
and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
2. The method of claim 1, wherein the generating the user tag corresponding to the demographic data according to the preset tag generation condition, the demographic data, and the business data specifically includes:
judging whether the service data meets the label generation condition or not;
if yes, matching the business data with the population data;
if the matching is successful, generating a label corresponding to the label generating condition;
and generating the user label corresponding to the population data according to the label corresponding to the label generation condition.
3. The method of claim 2, wherein the generating the user tag corresponding to the demographic data according to the tag corresponding to the tag generation condition specifically includes:
if the label generating conditions are multiple, labels corresponding to each label generating condition are provided;
converting a plurality of labels into sentence labels according to a preset label sentence generating rule;
determining the statement label as a user label corresponding to the population data;
and if the label generating condition is single, determining the label corresponding to the label generating condition as the user label corresponding to the population data.
4. The method according to claim 2, wherein the method further comprises:
if the matching of the business data and the population data fails, judging whether the population data has a field corresponding to the business data or not;
if yes, generating population data error prompt information, and feeding back the population data error prompt information to a base layer treatment system to confirm whether to update unmatched data in the population data;
and updating the status of failed matching of the business data and the population data to a successful matching status after updating the unmatched data in the population data.
5. The method according to claim 4, wherein the method further comprises:
if the population data does not have the field corresponding to the service data, generating population data missing prompt information, and feeding back the population data missing prompt information to the base management system to confirm whether the missing data in the population data is complemented;
and updating the status of failed matching of the business data and the population data into the status of successful matching after the missing data in the population data is complemented.
6. The method according to claim 2, wherein said determining whether the service data satisfies the tag generation condition specifically comprises:
determining a plurality of condition fields in the tag generation condition;
judging whether a field corresponding to the service data has a matching relationship with one or more condition fields;
if yes, determining that the service data meets the label generation condition;
if not, determining that the service data does not meet the label generation condition.
7. The method according to claim 1, wherein the method further comprises:
if the service data does not meet the tag generation conditions, generating verification notification information of the tag generation conditions, and sending the verification notification information to a tag generation condition verification terminal to verify whether the tag generation conditions need to be updated or not;
when the condition that the label generation condition needs to be updated is confirmed, updating the state that the service data does not meet the label generation condition to the state that the service data meets the label generation condition;
and when the label generating condition is confirmed to be not updated, no label corresponding to the label generating condition is generated.
8. The method according to claim 1, wherein the method further comprises:
if the population data does not have the unique identity of the user, searching the fields of the population data in a pre-constructed identity mapping table to determine whether the population data has the identity association field;
if yes, determining whether the identity association field is retrieved in a base layer treatment database;
if yes, determining the unique identity of the user according to the identity association field;
if not, generating identity loss notification information, and feeding the identity loss notification information back to the base layer treatment system.
9. A demographic data tag generation device based on primary remediation, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data;
determining a service system interface to be called according to preset label generation conditions;
determining whether the population data has a unique identity of a user;
if yes, calling the service system interface, and traversing the identity unique identifier in the service system;
when traversing is completed, determining corresponding service data of the user in the service system;
and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
10. A non-volatile computer storage medium storing computer executable instructions for generating demographic data labels based on primary remediation, the computer executable instructions configured to:
receiving a population data label generation request uploaded by a basic management system, and analyzing the population data label generation request to obtain population data;
determining a service system interface to be called according to preset label generation conditions;
determining whether the population data has a unique identity of a user;
if yes, calling the service system interface, and traversing the identity unique identifier in the service system;
when traversing is completed, determining corresponding service data of the user in the service system;
and generating a user label corresponding to the population data according to the label generation condition, the population data and the business data.
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| CN202310416200.4A CN116843111A (en) | 2023-04-18 | 2023-04-18 | Population data label generation method, device and medium based on basic management |
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