CN117196240A - House-ground integrated project-based household registration information acquisition method and system - Google Patents
House-ground integrated project-based household registration information acquisition method and system Download PDFInfo
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Abstract
The application discloses a house registration information acquisition method and system based on a house-to-ground integrated project, comprising the following steps: s1, acquiring building property data; s2, obtaining a standard address library according to the building property data; step S3, according to the living building property data and the standard address library, a personnel information base library is obtained, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact telephone and household registration information; and S4, carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel house association base, and realizing household registration information acquisition. By adopting the technical scheme of the application, the workload of sending out police is greatly reduced, and the accuracy and timeliness of relevant real population data are ensured, thereby being beneficial to the construction and management of the current social security and protection system.
Description
Technical Field
The application belongs to the technical field of information processing, and particularly relates to a house registration information acquisition method and system based on a house-ground integrated project.
Background
The management of the real population becomes the most important difficult problem for the construction of the security and control system of the current society. The management mode of real population in jurisdictions with the units of the dispatch houses and communities has become a main mode of real population management of the current public security authorities. With the development of the economy of China, the floating population is more and more, the original mode of managing the population by virtue of the household population cannot meet the more and more complex form change of the current society, and the current actual living and activity conditions of the population cannot be really mastered. In order to better manage and master inflow, outflow, activities and other situations of the real population, a real population management system is generated.
The current management mode of the real population is mainly carried out in a mode of sending out polices, auxiliary polices, community management staff and the like through manual periodical entrance and every family touch arrangement, and each entrance uses a word paper account or basic information, family member information, contact information and the like of mobile polices APP registered personnel. There are a number of problems with this approach: 1. the real district has large population base, and the verification workload is heavy; 2. the problem that people are out of home frequently in the process of checking the door, and the check of the door is required to be repeated, so that police resources are seriously wasted; 3. real population flowing into and out of jurisdictions cannot be found and mastered in time, and the data of the real population is not updated in time; 4. police personnel at the dispatch place are insufficient in strength and limited in quantity, and cannot reach the face, so that the problems of missing mining, untimely updating and the like of a real population are caused.
Disclosure of Invention
The application aims to solve the technical problem of providing a house registration information acquisition method and system based on a house-ground integrated project, so as to solve the problem.
In order to achieve the above purpose, the present application adopts the following technical scheme:
a house registration information acquisition method based on house-ground integrated projects comprises the following steps:
s1, acquiring building property data;
s2, obtaining a standard address library according to the building property data;
step S3, according to the living building property data and the standard address library, a personnel information base library is obtained, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact telephone and household registration information;
and S4, carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel house association base, and realizing household registration information acquisition.
Preferably, in step S1, building property data is stored: the system comprises house property data, public security registration data, civil marital data and portrait data.
Preferably, in step S2, an analysis model based on a mixture of the antagonistic network DD-GAN and the selective-kernel convolutional neural network SK-CNN is used to analyze the building property data based on the address data, thereby obtaining a standard address library.
Preferably, in step S4, the personnel information base library is subjected to association analysis with civil marital data, public security registration data and national population data of public security department, and association relation between population and house is established, so as to obtain a detailed personnel information base library and a personnel room association library.
The application also provides a house registration information acquisition system based on the house-to-ground integrated project, which comprises the following steps:
the acquisition device is used for acquiring building property data;
the first processing device is used for obtaining a standard address library according to the building property data;
the second processing device is used for obtaining a personnel information base library according to the living building property data and the standard address library, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact phone and household registration information;
and the third processing device is used for carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel room association base, so as to realize the acquisition of household registration information.
Preferably, the building property data: the system comprises house property data, public security registration data, civil marital data and portrait data.
Preferably, the first processing means uses an analysis model based on a mixture of the generation of the challenge network DD-GAN and the selective-kernel convolutional neural network SK-CNN to analyze based on the address data of the living building property data, to obtain the standard address library.
Preferably, the third processing device performs association analysis on the personnel information base library and civil marital data, public security registration data and national population data of public security department, and establishes association relation between population and house to obtain a detailed personnel information base library and a personnel house association library.
The application greatly reduces the workload of police dispatch by a big data technology, and ensures the accuracy and timeliness of relevant real population household registration data, thereby being beneficial to the construction and management of the current social security and control system.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a house service registration information collection method based on a house-to-ground integrated project in an embodiment of the application;
fig. 2 is a schematic structural diagram of a house book information collection system based on a house-to-ground integrated project according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. 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.
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description.
Example 1:
as shown in fig. 1, an embodiment of the present application provides a house registration information collection method based on a house-to-land integrated project, including:
s1, acquiring building property data;
s2, obtaining a standard address library according to the building property data;
step S3, according to the living building property data and the standard address library, a personnel information base library is obtained, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact telephone and household registration information;
and S4, carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel house association base, and realizing household registration information acquisition.
As an implementation manner of the embodiment of the present application, in step S1, building property data is stored: the system comprises house property data, public security registration data, civil marital data and portrait data.
As an implementation manner of the embodiment of the present application, before step S2, the method further includes: the method for cleaning the data of the living building property to eliminate the influence of the original dimension of the data on the result comprises the following steps:
screening out disorder code data and offside data from the building property data to obtain screening index data;
vectorizing the screening index data to obtain a screening index vector set, and adding space-time vectors to each screening index vector in the screening index vector set to obtain a space-time vector set;
performing feature clustering on the space-time vector set to obtain a clustering center data set;
and filling each null value data in the screening index data according to the clustering center data set.
In step S2, an analysis model based on a mixture of the antagonistic network DD-GAN and the selective-kernel convolutional neural network SK-CNN is used to analyze the building property data based on the address data, thereby obtaining a standard address library.
In step S4, the association analysis is performed on the personnel information base, the civil marital data, the public security registration data and the national population data of the public security department, and the association relation between the population and the house is established, so as to obtain a detailed personnel information base and a personnel room association base.
Further, the step S4 specifically includes the steps of:
s41, performing association analysis on the personnel information base and civil marital data by using a big data stream computing technology, finding out partner data corresponding to a homeowner through homeowner data, bringing the homeowner partner data into the personnel information base, and establishing an association relationship between standard addresses associated with the homeowner and the partner data.
S42, carrying out association analysis on the personnel information base and public security household registration data by utilizing a big data stream computing technology, finding corresponding personnel information of the same household through a household opening on population data corresponding to the personnel information base, incorporating the personnel information of the same household into the personnel information base, associating standard addresses, and further perfecting the personnel information base.
S43, utilizing a big data stream computing technology, facilitating household registration population basic data and public security national population data, automatically supplementing and perfecting personnel basic information data items in a personnel information basic library, and simultaneously establishing association relations of population houses to obtain a detailed personnel information basic library and a personnel house association library.
As an implementation manner of the embodiment of the present application, further step S5 is included: and through continuously accessing various local social data and government data, carrying out association analysis collision on the data in the standard address library and the personnel information base library, and continuously perfecting the data accuracy of the standard address library and the personnel information base library. A basic personal information base is basically formed through steps S1 to S4, but association of demographic data and addresses at this time is not necessarily a percentage of complete accuracy, for example: the same household population does not necessarily reside at the same address as the homeowner; the partners do not necessarily all reside at the same address; the homeowner does not necessarily reside in the purchased house. Therefore, the accuracy of the data needs to be further checked through other data, so that the embodiment further performs association analysis collision on the data in the standard address library and the personnel information base library through continuously accessing various local social data and government data, thereby continuously perfecting the data accuracy of the standard address library and the personnel information base library, ensuring the accurate association of population data and addresses as much as possible, and eliminating the existing errors.
Further, the step S5 specifically includes the steps of:
s501, utilizing face snapshot data of an intelligent community, and carrying out collision comparison on the face snapshot data and a base of a personnel information base and an identity card number in combination to obtain corresponding personnel basic information data;
s502, carrying out association analysis by using personnel information and house owner data of the same cell, and if a snap-shot person exists in a personnel information base, verifying the actual residential building and house number of the person;
s503, if a person in the personnel information base is not captured by the face of the cell, the person is possibly not living in the cell, and the person is marked with a corresponding mark which is not living under the address in the personnel information base.
In order to reduce the workload of sending out the gate verification data of the police, fully release police resources, strengthen timeliness of updating the real population data, solve the problem of current real population management by utilizing the current big data technology, and establish real population association relationship based on standard addresses by integrating social data, public security service data, government department data, enterprise and public institution data, front end perception and other data for comprehensive analysis, thereby realizing automatic issuing of real population inflow and outflow conditions and automatic acquisition and updating of real population basic information. The police dispatch place does not need to go home-to-home for verification, and does not need to pay attention to inflow and outflow situations of real population in jurisdictions; according to the application, by establishing big data, the real population information is actively found and updated, and the original found by police is changed into the found by big data; the data is updated and maintained in a real population system by the police originally, and the data is automatically updated and maintained after being analyzed by big data; the abnormal data are pushed to the corresponding dispatch police for verification, so that the dispatch police do not need to go home-to-home for verification and do not need to carry out data maintenance manually, the dispatch police only need to master the reminding information automatically pushed by the system, the workload of the dispatch police is greatly reduced, the accuracy and timeliness of relevant real population data are ensured, and the construction and management of the current social security and protection system are facilitated.
The embodiment of the application develops the problems of realizing automatic acquisition and maintenance of real population data and reducing the workload of community polices, analyzes the data through a big data technology, automatically realizes the update and maintenance of the data, reduces the workload of the community polices, replaces the traditional mode of manually acquiring and verifying by sending out the police home by home, and realizes the automatic information acquisition, automatic discovery, automatic acquisition and automatic maintenance update of the real population registering.
Example 2:
as shown in fig. 2, the embodiment of the application further provides a home registration information acquisition system based on a house-ground integrated project, which comprises:
the acquisition device is used for acquiring building property data;
the first processing device is used for obtaining a standard address library according to the building property data;
the second processing device is used for obtaining a personnel information base library according to the living building property data and the standard address library, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact phone and household registration information;
and the third processing device is used for carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel room association base, so as to realize the acquisition of household registration information.
As an implementation of the embodiment of the present application, the building property data: the system comprises house property data, public security registration data, civil marital data and portrait data.
As an implementation manner of the embodiment of the present application, the first processing device uses an analysis model based on the mixture of the generation of the antagonism network DD-GAN and the selective kernel convolutional neural network SK-CNN to analyze based on the address data of the building property data, so as to obtain a standard address library.
As an implementation manner of the embodiment of the application, the third processing device carries out association analysis on the personnel information base library, the civil marital data, the public security registration data and the national population data of the public security department, and establishes association relation between population and house to obtain a detailed personnel information base library and a personnel room association library.
The above embodiments are merely illustrative of the preferred embodiments of the present application, and the scope of the present application is not limited thereto, but various modifications and improvements made by those skilled in the art to which the present application pertains are made without departing from the spirit of the present application, and all modifications and improvements fall within the scope of the present application as defined in the appended claims.
Claims (8)
1. The house registration information acquisition method based on the house-ground integrated project is characterized by comprising the following steps:
s1, acquiring building property data;
s2, obtaining a standard address library according to the building property data;
step S3, according to the living building property data and the standard address library, a personnel information base library is obtained, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact telephone and household registration information;
and S4, carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel house association base, and realizing household registration information acquisition.
2. The house registration information collection method based on the house-to-ground integrated project as set forth in claim 1, wherein in step S1, house property data are built: the system comprises house property data, public security registration data, civil marital data and portrait data.
3. The house registration information collection method based on the house-to-ground integrated project according to claim 2, wherein in step S2, an analysis model based on a mixture of a generated countermeasure network DD-GAN and a selective kernel convolutional neural network SK-CNN is used to analyze based on address data of house building property data, so as to obtain a standard address library.
4. The house registration information collection method based on the house-to-ground integrated project as claimed in claim 3, wherein in step S4, the personnel information base library is subjected to association analysis with civil marital data, public security registration data and public security national population data, and association relation between population and house is established, so that a detailed personnel information base library and a personnel-house association library are obtained.
5. Household registration information acquisition system based on house-ground integrated project is characterized by comprising:
the acquisition device is used for acquiring building property data;
the first processing device is used for obtaining a standard address library according to the building property data;
the second processing device is used for obtaining a personnel information base library according to the living building property data and the standard address library, wherein the personnel information base library comprises personnel basic information data, and the personnel basic information data comprises an identity card number, a name, a contact phone and household registration information;
and the third processing device is used for carrying out association analysis on the personnel information base to obtain a detailed personnel information base and a personnel room association base, so as to realize the acquisition of household registration information.
6. The home registration information acquisition device based on the house-to-ground integrated project as claimed in claim 5, wherein the house-to-house property data: the system comprises house property data, public security registration data, civil marital data and portrait data.
7. The home registration information acquisition device based on the house-to-land integrated project as claimed in claim 6, wherein the first processing means uses an analysis model based on the mixture of the generation of the challenge network DD-GAN and the selective kernel convolutional neural network SK-CNN to analyze based on the address data of the house-building property data to obtain a standard address library.
8. The house registration information acquisition device based on the house-to-ground integrated project as claimed in claim 7, wherein the third processing device performs association analysis on the personnel information base library, civil marital data, public security registration data and public security national population data, and establishes association relation between population and house to obtain a detailed personnel information base library and a personnel-house association library.
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| CN202311220666.3A CN117196240A (en) | 2023-09-21 | 2023-09-21 | House-ground integrated project-based household registration information acquisition method and system |
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| CN202311220666.3A CN117196240A (en) | 2023-09-21 | 2023-09-21 | House-ground integrated project-based household registration information acquisition method and system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110442856A (en) * | 2019-06-14 | 2019-11-12 | 平安科技（深圳）有限公司 | A kind of address information standardized method, device, computer equipment and storage medium |
| CN115809308A (en) * | 2022-12-28 | 2023-03-17 | 湖南科创信息技术股份有限公司 | Method, device and electronic equipment for realizing automatic classification and collection of real population data |
| CN116187207A (en) * | 2023-04-25 | 2023-05-30 | 中国兵器科学研究院 | Land battle equipment system simulation evaluation method, device and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110442856A (en) * | 2019-06-14 | 2019-11-12 | 平安科技（深圳）有限公司 | A kind of address information standardized method, device, computer equipment and storage medium |
| CN115809308A (en) * | 2022-12-28 | 2023-03-17 | 湖南科创信息技术股份有限公司 | Method, device and electronic equipment for realizing automatic classification and collection of real population data |
| CN116187207A (en) * | 2023-04-25 | 2023-05-30 | 中国兵器科学研究院 | Land battle equipment system simulation evaluation method, device and storage medium |
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