CN112084760A - Household registration relationship-based personnel grouping method and system - Google Patents

Household registration relationship-based personnel grouping method and system Download PDF

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CN112084760A
CN112084760A CN202010987145.0A CN202010987145A CN112084760A CN 112084760 A CN112084760 A CN 112084760A CN 202010987145 A CN202010987145 A CN 202010987145A CN 112084760 A CN112084760 A CN 112084760A
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高军
王可鑫
段文良
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Shandong Heetian Information Technology Co ltd
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Abstract

The invention discloses a method and a system for grouping personnel based on household registration relationship, which comprises the following steps: based on the marital or historical marital relationship, taking the identity card number and the household registration number as two rows of data respectively to form a table Cn; adding a column L on the basis of the table Cn, filling the minimum data in the penultimate column in the row of the table Cn, which has the same data in the penultimate column but different data in the penultimate column, into the newly added column of the corresponding row to form a table Cn+1(ii) a Judgment table Cn+1And whether the data of the last two columns of each row in the system are completely the same or not is judged, and if so, the identity card numbers corresponding to the rows with the same value in the Ln-th column are divided into the same group. The invention can calculate the setting area in batch according to the family register and the marriageThe real relation situation among all the people in the domain can analyze the source, distribution and association situation of urban population, and certain data assistance is provided for the development decision of the city.

Description

Household registration relationship-based personnel grouping method and system
Technical Field
The invention relates to the technical field of personnel grouping, in particular to a personnel grouping method and a personnel grouping system based on household registration relations.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the development of social economy and the convenience of traffic, people among cities are moving more and more. The migration of household registration by personnel is also becoming more frequent due to work, life, school promotion, house buying, marriage, etc.
When a public security organization handles a case, the public security organization often needs to comb the relationships of people, and the relationship between marriage and household membership is a highly reliable and highly close relationship, so the public security organization has great referential significance. Traditionally, marriage data can only visually see individual marriage records, and household nationalities can only see the conditions of multiple immigration and immigration of a certain individual.
However, although it is fast to query the personal membership information of a certain person, the query needs to be performed to obtain the personal membership information of the immediate and collateral relatives. Since these individuals may also be involved in the case of immigration and immigration, some individuals may even involve multiple household numbers, and therefore, the query efficiency is low, and the improvement of case handling efficiency is not facilitated.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for grouping the personnel based on the household registration relationship, which divide all the members under all the household registration numbers with the household registration flow relationship into a group, and after the information of one of the personnel is retrieved, the information of all the personnel in the same group can be associated, so that the query efficiency is improved.
In some embodiments, the following technical scheme is adopted:
a household membership based personnel grouping method comprises the following steps:
(1) acquiring the identity card numbers, the household registration numbers and the historical household registration numbers of all the personnel to be grouped, and establishing the corresponding relation between the identity card numbers and the household registration numbers or the historical household registration numbers; establishing a corresponding relation between the male identity card number and the associated female house register number and a corresponding relation between the female identity card number and the associated male house register number respectively based on the marital or historical marital relation;
(2) based on the corresponding relation, the identity card number and the household registration number are respectively used as two rows of data to form a table Cn; taking the initial value of n as 0;
(3) adding a column L on the basis of the table Cn, filling the minimum data in the penultimate column in the row of the table Cn, which has the same data in the penultimate column but different data in the penultimate column, into the newly added column of the corresponding row to form a table Cn+1；
(4) Judgment table Cn+1Whether the data of the last two columns in each row are completely the same or not is judged, if yes, the step (5) is carried out; otherwise, returning to the step (3) if n is equal to n + 1;
(5) and dividing the identity card numbers corresponding to the rows with the same value in the Ln-th column into the same group.
In other embodiments, the following technical solutions are adopted:
a household relationship based people grouping system comprising:
a data acquisition module:
the system is used for acquiring the identity card numbers, the household registration numbers and the historical household registration numbers of all the personnel to be grouped, and establishing the corresponding relation between the identity card numbers and the household registration numbers or between the identity card numbers and the historical household registration numbers; establishing a corresponding relation between the male identity card number and the associated female house register number and a corresponding relation between the female identity card number and the associated male house register number respectively based on the marital or historical marital relation;
based on the corresponding relation, the identity card number and the household registration number are respectively used as two rows of data to form a table Cn;
a data grouping module:
adding a column L on the basis of a table Cn, filling the minimum data in the penultimate column in a row with the same data in the penultimate column but different data in the penultimate column in the table Cn into the newly added column in the corresponding row to form a table Cn+1；
Judgment table Cn+1Each of whichWhether the data of the last two columns of the row are identical or not, if so, the L-th column is usednThe identity card numbers corresponding to the rows with the same column value are divided into the same group; otherwise, if n is equal to n +1, repeating the data processing process of the step until the grouping is completed.
In other embodiments, the following technical solutions are adopted:
a terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; the computer readable storage medium stores a plurality of instructions adapted to be loaded by a processor and to perform the household relationship based people grouping method described above.
In other embodiments, the following technical solutions are adopted:
a computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to execute the household relationship based people grouping method described above.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method and the system can calculate the real relation situation among all the personnel in the set area in batch according to the household registration and the marital, can analyze the source, distribution and association situation of the urban population, and provide certain data assistance for the development decision of the city.
(2) Marital and family are the most real and direct relationships. All the persons with direct and practical relations are classified into the same group according to the two items, and the case situation is researched and judged for the case handling of the public security, and the escaped persons are searched, so that a great auxiliary effect is achieved. The gap that all the related personnel cannot be analyzed due to excessive relation levels is made up.
(3) According to the invention, new columns are continuously inserted into the data table, then the numerical values of the newly added columns are calculated, and whether the data of the last two columns in the data table are consistent or not is judged as a judgment condition for finishing the calculation, so that related personnel can be finally classified into the same group, the calculation process is simple and rapid, and the calculation result is accurate and effective.
Drawings
Fig. 1 is a flowchart of a household relationship-based people grouping method in an embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
In one or more embodiments, a household relationship-based people grouping method is disclosed, and with reference to fig. 1, the method specifically includes the following processes:
(1) establishing a corresponding relation between the male identity card number and the associated female house register number and a corresponding relation between the female identity card number and the associated male house register number respectively based on the marital or historical marital relation;
specifically, acquiring a male identity card number, a female identity card number, a male house number and a female house number which have a marital relationship at present to form four rows of data, and storing the data in a table A;
acquiring a male identity card number, a female identity card number, a male house register number and a female house register number with historical marital relations to form four rows of data, and storing the data in a table A in a supplementing manner;
extracting the male identity card number in the table A and the female account number which has a marital or historical marital relationship with the male, and respectively storing the identity card number corresponding to the account number into a table B to form two rows of data;
and extracting the female identification number in the table A and the male house number having marital or historical marital relation with the female, and respectively corresponding the identification numbers to the house numbers to form two rows of data to be stored in the table B in a supplementing manner.
(2) Acquiring the identity card numbers, the household registration numbers and the historical household registration numbers of all the personnel to be grouped, and establishing the corresponding relation between the identity card numbers and the household registration numbers or the historical household registration numbers;
specifically, in general, the persons to be grouped are all persons in a city or a county; at this time, a family table (family population registration table) and a family history table (family population history registration table) of the local city or the county are obtained, and the identity numbers, the household registration numbers and the historical household registration numbers of all the personnel can be obtained from the table;
acquiring the identity card number and the corresponding household registration number in the frequent entrance table to form two rows of data to be added into the table B;
acquiring the identity card number and the corresponding household registration number in the conventional history table to form two rows of data to be added into the table B; if a person has multiple registration records, the identity card number and the corresponding multiple historical registration numbers are added to the table B.
(3) Aiming at the data in the table B, carrying out duplication elimination processing according to the identity card number and the household registration number, namely, eliminating the data with the corresponding relation of the identity card number and the household registration number being completely consistent, and taking the identity card number and the household registration number after duplication elimination as two rows of data to form a table C0；
(4) New form C1Watch C1In table C0On the basis of the identification number, a row of L1 is added to form a structure with three rows of identification numbers, house numbers and L1.
Will show table C0The data with the same middle identity number and different household numbers takes the value of the minimum household number and fills the value into the corresponding L1 column.
For example, Table C0The data in (1) are as follows:
identity card number Household registration number
A1 1
D1 2
C1 3
A1 4
D1 5
D1 1
C1 7
C1 5
According to the above rule, table C1The data inserted in (1) results are as follows:
identity card number Household registration number L1
A1 1 1
D1 2 2
C1 3 3
A1 4 1
D1 5 2
D1 1 2
C1 7 3
C1 5 3
(5) Look up table C1Whether the household registration number data of the last two columns in each row is identical to the data of the L1 column or not is judged, and if yes, the calculation is finished; and if the corresponding line data are different, continuing to operate downwards.
(6) New form C2Watch C2In table C1On the basis of (1) addingAdding a column L2 to form four columns of ID number, house number, L1 and L2.
Will show table C1The same number of the middle residents, different data in L1 columns, the minimum value of the corresponding data in L1 column is taken and filled into the corresponding L2 column. In the above example, C is then formed2The data in the table are as follows:
Figure BDA0002689638780000061
Figure BDA0002689638780000071
checking whether the data in the last two columns L1 and L2 in the C2 table are identical, if so, indicating that the calculation is finished; and if the corresponding line data are different, continuing to operate downwards.
(7) And (6) repeating the process, newly building a table Cn, wherein the Cn table has one more column Ln than the C (n-1) table, taking the minimum value in the corresponding data of the L (n-1) column from the same data in the L (n-2) column, and filling the minimum value in the Ln column.
Until the data in Ln and L (n-1) are identical, otherwise, the calculation is continued according to the rule.
Finally, the table Cn is obtained. In this table, the identity numbers corresponding to the rows with the same value in the Ln columns are the same group. And the key path from the user number column to the Ln column is the key path for dividing the identity number into the group. Meanwhile, the household registration number in the same group can be obtained.
When marriage incremental data exists, if the account numbers of both men and women are in a group, the grouping result does not need to be adjusted; if not, the original two packets are directly merged.
When there is regular incremental data, if the new and old account numbers of the incremental data are in the same group, the grouping result does not need to be adjusted; if not, the two involved packets are merged directly.
By the grouping method, the grouping condition of the designated personnel can be inquired, and other related personnel in the same group can be displayed. And inquiring the key path of the personnel to the group and the transition step number of the routes. So as to assist the relevant personnel in making decisions or studying and judging cases.
The marital table and the marital history table can be independently calculated according to needs, and the regular mouth table and the regular mouth history table can also be independently calculated to obtain needed result data.
Example two
In one or more embodiments, a household relationship based personnel grouping system is disclosed, comprising:
a data acquisition module:
the system is used for acquiring the identity card numbers, the household registration numbers and the historical household registration numbers of all the personnel to be grouped, and establishing the corresponding relation between the identity card numbers and the household registration numbers or between the identity card numbers and the historical household registration numbers; establishing a corresponding relation between the male identity card number and the associated female house register number and a corresponding relation between the female identity card number and the associated male house register number respectively based on the marital or historical marital relation;
based on the corresponding relation, the identity card number and the household registration number are respectively used as two rows of data to form a table Cn;
a data grouping module:
adding a column L on the basis of a table Cn, filling the minimum data in the penultimate column in a row with the same data in the penultimate column but different data in the penultimate column in the table Cn into the newly added column in the corresponding row to form a table Cn+1；
Judgment table Cn+1Whether the data of the last two columns in each row are completely the same or not, if so, the L-th column is usednThe identity card numbers corresponding to the rows with the same column value are divided into the same group; otherwise, if n is equal to n +1, repeating the data processing process of the step until the grouping is completed.
The specific implementation manner of each module is implemented by using the method disclosed in the first embodiment, and details are not described again.
EXAMPLE III
In one or more embodiments, a terminal device is disclosed, which includes a server including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the household relationship based people grouping method in the first embodiment when executing the program. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. A method for grouping people based on household registration relationship is characterized by comprising the following steps:
(1) acquiring the identity card numbers, the household registration numbers and the historical household registration numbers of all the personnel to be grouped, and establishing the corresponding relation between the identity card numbers and the household registration numbers or the historical household registration numbers; establishing a corresponding relation between the male identity card number and the associated female house register number and a corresponding relation between the female identity card number and the associated male house register number respectively based on the marital or historical marital relation;
(2) based on the corresponding relation, the identity card number and the household registration number are respectively used as two rows of data to form a table Cn; taking the initial value of n as 0;
(3) adding a column L on the basis of the table Cn, filling the minimum data in the penultimate column in the row of the table Cn, which has the same data in the penultimate column but different data in the penultimate column, into the newly added column of the corresponding row to form a table Cn+1；
(4) Judgment table Cn+1Whether the data of the last two columns in each row are completely the same or not is judged, if yes, the step (5) is carried out; otherwise, returning to the step (3) if n is equal to n + 1;
(5) and dividing the identity card numbers corresponding to the rows with the same value in the Ln-th column into the same group.
2. The method as claimed in claim 1, wherein the identity numbers, house numbers and historical house numbers of all the people to be grouped are obtained through a frequent entrance table or a frequent entrance history table, and if one person has multiple house migration records, all the historical house numbers corresponding to the identity numbers are obtained.
3. The family relationship-based personnel grouping method as claimed in claim 1, wherein a corresponding relationship between the identity numbers of the male parties and the associated family numbers of the female parties is established, specifically, the identity numbers of the male parties are respectively corresponding to the family numbers of all the female parties having a marital relationship or a historical marital relationship with the male parties.
4. The family relationship-based personnel grouping method according to claim 1, wherein a correspondence between the male identification numbers and the associated female family numbers and a correspondence between the female identification numbers and the associated male family numbers are established based on a marital or historical marital relationship; the specific process is as follows:
acquiring a male identity card number, a female identity card number, a male house register number and a female house register number which have a marital relationship at present to form four rows of data, and storing the data in a table A;
acquiring a male identity card number, a female identity card number, a male house register number and a female house register number with historical marital relations to form four rows of data, and storing the data in a table A in a supplementing manner;
extracting the male identity card number in the table A and the female account number which has a marital or historical marital relationship with the male, and respectively storing the identity card number corresponding to the account number into a table B to form two rows of data;
and extracting the female identification number in the table A and the male house number having marital or historical marital relation with the female, and storing two rows of data formed by the identification numbers respectively corresponding to the house numbers into a table B.
5. The method as claimed in claim 4, wherein two rows of data are stored in the table B respectively, wherein the identity numbers of all the persons to be grouped and the house number or the historical house number are formed; after deduplication processing, Table C1 was formed.
6. The membership based membership method as claimed in claim 1, wherein when there is marital incremental data, if the membership numbers of both men and women are in a group, the grouping result does not need to be adjusted; if not, the original two packets are directly merged.
7. The method as claimed in claim 1, wherein when there is regular incremental data, if the new and old domicile numbers of the incremental data are in the same group, the grouping result does not need to be adjusted; if not, the two involved packets are merged directly.
8. A membership relationship based system for grouping persons, comprising:
a data acquisition module:
the system is used for acquiring the identity card numbers, the household registration numbers and the historical household registration numbers of all the personnel to be grouped, and establishing the corresponding relation between the identity card numbers and the household registration numbers or between the identity card numbers and the historical household registration numbers; establishing a corresponding relation between the male identity card number and the associated female house register number and a corresponding relation between the female identity card number and the associated male house register number respectively based on the marital or historical marital relation;
based on the corresponding relation, the identity card number and the household registration number are respectively used as two rows of data to form a table Cn;
a data grouping module:
adding a column L on the basis of a table Cn, filling the minimum data in the penultimate column in a row with the same data in the penultimate column but different data in the penultimate column in the table Cn into the newly added column in the corresponding row to form a table Cn+1；
Judgment table Cn+1Whether the data of the last two columns of each row in the system are completely the same or not is judged, if yes, the identity card numbers corresponding to the rows with the same value of the Ln-th column are divided into the same group; otherwise, if n is equal to n +1, repeating the data processing process of the step until the grouping is completed.
9. A terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; a computer readable storage medium for storing a plurality of instructions, wherein the instructions are adapted to be loaded by a processor and to perform the household relationship based people grouping method according to any one of claims 1-7.
10. A computer-readable storage medium having stored thereon a plurality of instructions, characterized in that the instructions are adapted to be loaded by a processor of a terminal device and to perform the household relationship based people grouping method according to any one of claims 1-7.
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