CN109636252A - Floating population's big data multidimensional analysis method and system - Google Patents
Floating population's big data multidimensional analysis method and system Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of floating population's big data multidimensional analysis method and system, which comprises acquisition floating population's information data, floating population's information data include at least access control system data, floating population's registration data and rental house basic data；By collected floating population's information data storing to data warehouse, and floating population's information data is analyzed and processed in the data warehouse, to obtain floating population's development trend information, floating population's development trend information includes personnel's trend analysis information, present construction of personnel analyzes information, the distributed intelligence of source of personnel ground, density of personnel analyzes information, personnel, which live, analyzes information, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analyzes information, employment and first, second, the information such as tertiary industry proportion grading information, the present invention can effectively analyze the development trend of floating population and changing rule.
Description
Technical field
The present invention relates to population analysis technical field, more particularly to a kind of floating population's big data multidimensional analysis method and
System.
Background technique
Currently, with the rapid development of economy, the national investment with various regions government in floating population's management and service field
Dynamics is in cumulative year after year, and China's floating population's total amount is integrally in stablize situation, especially in some megalopolis and large and medium-sized city
City, floating population account for city total population ratio and are up to 50% or more, and government is to the management and service of floating population also pay attention to day by day.
Population base of China is big, and floating population is numerous, therefore larger to floating population's difficulty for statistical analysis, mesh
Before, the solution of multidimensional analysis is effectively carried out for floating population due to lacking, is led to not effectively to floating population
Development trend and changing rule analyzed, it may appear that such as floating population's sum is unknown, and each household register is distributed unclear, Ren Yuanliu
The problems such as dynamic trend can not prejudge does not utilize the moving mouth of convection current to be managed and service.
Summary of the invention
For this purpose, an object of the present invention is to provide a kind of floating population's big data multidimensional analysis method, with effectively right
The development trend and changing rule of floating population is analyzed.
The floating population's big data multidimensional analysis method provided according to the present invention, comprising:
Floating population's information data is acquired, floating population's information data includes at least access control system data, floating population steps on
The evidence that counts and rental house basic data；
By collected floating population's information data storing to data warehouse, and to the floating population in the data warehouse
Information data is analyzed and processed, and to obtain floating population's development trend information, floating population's development trend information includes
Distributed intelligence, density of personnel analyze information, Ren Yuanju with analyzing information, source of personnel for personnel's trend analysis information, present construction of personnel
It firmly analyzes information, personnel and receives pipe rate and effectively analyze information, rental house star trade off analysis information, human behavior habit analysis letter
Breath, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, staff size and economic society
Analysis on development information, rental house security level and level of rent analyze information；
The Population Trends information that will acquire is sent to front end applications interface and is opened up in a manner of through figure or report
Show.
The utility model has the advantages that
The floating population's big data multidimensional analysis method provided according to the present invention, first acquisition access control system data, floating population
Floating populations' information data such as registration data and rental house basic data is capable of forming flowing by the continuous load of data source
Population management's big data, then by collected floating population's information data storing to data warehouse, and it is right in data warehouse
Floating population's information data is analyzed and processed, and can obtain floating population's development trend information, floating population's development trend
Information includes personnel's trend analysis information, present construction of personnel with analyzing information, source of personnel distributed intelligence, density of personnel analysis letter
Live analysis information, personnel of breath, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis information, human behavior and practise
Used analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, staff size with
Socio-economic development analyzes information, rental house security level and level of rent and analyzes information, realizes the multidimensional point of floating population
Analysis, can make effective judgement to floating population's sum, household register, flow of personnel trend etc., finally by Population Trends information
It in a manner of through figure or report, is sent to front end applications interface and is shown, understand stream with facilitating administrative staff's simple, intuitive
The development trend and changing rule of moving mouth guarantee the shared and effective use of all kinds of floating population's information, to promote flowing
Population management's efficiency and service level promote the stability and harmony of economic sustainable development and society, for the development of social economy
Bring the positive benefit in front.
In addition, above-mentioned floating population's big data multidimensional analysis method according to the present invention, can also have following additional
Technical characteristic:
Further, described by collected floating population's information data storing to data warehouse, and in the data warehouse
The step of being analyzed and processed to floating population's information data specifically includes:
According to subject analysis type, the multidimensional analysis library of multidimensional analysis is established, the subject analysis type includes personnel's trend point
Analysis, present construction of personnel analyze, be distributed to source of personnel, density of personnel analysis, personnel live analyze, personnel receive pipe rate effectively analyze,
Rental house star trade off analysis, the analysis of human behavior habit, the analysis of personnel's degrees of fusion, employment and primary, secondary and tertiary industries ratio
Example analysis, staff size and socio-economic development analysis, rental house security level and level of rent are analyzed；
It establishes from interim storage area to the ETL program in the multidimensional analysis library, collected floating population's information data is deposited
It is placed in the interim storage area；
The parameter configuration of corresponding each subject analysis type is set in ETL program, with establish the interim storage area and when
Bridging between multidimensional analysis library；
The parameter configuration in ETL program is read, cleaned with floating population's information data to the interim storage area,
The treatment process of conversion, storage, and data are stored into the multidimensional analysis library by treated；
In multidimensional analysis library, for different subject analysis types, using preset analysis model to treated data into
Row analysis processing.
Further, described in multidimensional analysis library, for different subject analysis types, using preset analysis model
To treated data are analyzed and processed the step of specifically include:
In multidimensional analysis library, respectively for personnel's trend analysis type, present construction of personnel analysis type, source of personnel ground distributional class
Type, density of personnel analysis type, personnel's inhabitation analysis type, personnel receive the effective analysis type of pipe rate, the comparation and assessment point of rental house star
Analyse type, human behavior habit analysis type, personnel's degrees of fusion analysis type, employment and primary, secondary and tertiary industries ratio point
Type, staff size and socio-economic development analysis type, rental house security level and level of rent analysis type are analysed, using pre-
If analysis model to treated, data are analyzed and processed, with obtain personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
Further, the preset analysis model includes Clustering Model, linking parsing model, Eigenvalues analysis mould
At least one of type.
Further, the method also includes:
According to the access control system data, floating population's registration data and the rental house basic data, and and server
In the telecom operation quotient data, the people society data that prestore crash, using linear regression algorithm and/or cluster algorithm convection current
Moving mouth carries out multidimensional analysis, with analyzing personnel's trend analysis information, present construction of personnel analysis information, source of personnel point
Live analysis information, personnel of cloth information, density of personnel analysis information, personnel receive that pipe rate effectively analyzes information, rental house star is commented
Than analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries ratio
Example analysis information, staff size and socio-economic development analysis information, rental house security level and level of rent analyze information.
It is another object of the present invention to propose a kind of floating population's big data dimensional analytic system, effectively to flowing
The development trend and changing rule of population are analyzed.
The floating population's big data dimensional analytic system provided according to the present invention, comprising:
Information acquisition module, for acquiring floating population's information data, floating population's information data is including at least gate inhibition
System data, floating population's registration data and rental house basic data；
Analysis module is stored, is used for collected floating population's information data storing to data warehouse, and in the data bins
Floating population's information data is analyzed and processed in library, to obtain floating population's development trend information, the flowing people
Mouth development trend information includes personnel's trend analysis information, present construction of personnel with analyzing information, source of personnel distributed intelligence, Ren Yuanmi
Live analysis information, personnel of degree analysis information, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis information, people
Member's behavioural habits analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, people
Member's scale and socio-economic development analysis information, rental house security level and level of rent analyze information；
Display module is sent, the Population Trends information for will acquire is in a manner of through figure or report, before being sent to
End application interface is shown.
Above-mentioned floating population's big data dimensional analytic system, first information acquisition module acquire access control system data, flowing
Floating populations' information data such as population registration data and rental house basic data is capable of forming by the continuous load of data source
Floating population manages big data, then stores analysis module for collected floating population's information data storing to data warehouse,
And the dynamic population information data of convection current are analyzed and processed in data warehouse, can obtain floating population's development trend information, it should
Floating population's development trend information include personnel's trend analysis information, present construction of personnel analysis information, source of personnel distributed intelligence,
Live analysis information, personnel of density of personnel analysis information, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis letter
Breath, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading are believed
Breath, staff size and socio-economic development analysis information, rental house security level and level of rent analyze information, realize flowing
The multidimensional analysis of population can make effective judgement to floating population's sum, household register, flow of personnel trend etc., finally send exhibition
Show that Population Trends information in a manner of through figure or report, is sent to front end applications interface and be shown by module, it is convenient
The development trend and changing rule for understanding to administrative staff's simple, intuitive floating population guarantee the shared of all kinds of floating population's information
And effective use promotes the peace of economic sustainable development and society to promote floating population's efficiency of management and service level
Fixed harmony brings the positive benefit in front for the development of social economy.
In addition, above-mentioned floating population's big data dimensional analytic system according to the present invention, can also have following additional
Technical characteristic:
Further, the storage analysis module includes:
First establishing unit, for establishing the multidimensional analysis library of multidimensional analysis, the subject analysis class according to subject analysis type
Type includes personnel's trend analysis, present construction of personnel is analyzed, is distributed to source of personnel, density of personnel is analyzed, personnel's inhabitation analysis, personnel
Pipe rate of receiving effectively analyzes, the analysis of rental house star trade off analysis, human behavior habit, the analysis of personnel's degrees of fusion, employment with first,
Second, third industry proportion grading, staff size and socio-economic development analysis, rental house security level and level of rent point
Analysis；
Storage unit is established, for establishing the ETL program from interim storage area to the multidimensional analysis library, the collected stream
Dynamic population information data are stored in the interim storage area；
Second establishes unit, for the parameter configuration of corresponding each subject analysis type to be arranged in ETL program, to establish
State interim storage area and when multidimensional analysis library between bridging；
Reading processing unit, for reading the parameter configuration in ETL program, with the floating population to the interim storage area
The treatment process that information data is cleaned, converted, stored, and data are stored into the multidimensional analysis library by treated；
Analysis and processing unit is used in multidimensional analysis library, for different subject analysis types, using preset analysis model
To treated, data are analyzed and processed.
Further, the analysis and processing unit is specifically used for:
In multidimensional analysis library, respectively for personnel's trend analysis type, present construction of personnel analysis type, source of personnel ground distributional class
Type, density of personnel analysis type, personnel's inhabitation analysis type, personnel receive the effective analysis type of pipe rate, the comparation and assessment point of rental house star
Analyse type, human behavior habit analysis type, personnel's degrees of fusion analysis type, employment and primary, secondary and tertiary industries ratio point
Type, staff size and socio-economic development analysis type, rental house security level and level of rent analysis type are analysed, using pre-
If analysis model to treated, data are analyzed and processed, with obtain personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
Further, the preset analysis model includes Clustering Model, linking parsing model, Eigenvalues analysis mould
At least one of type.
Further, the system also includes:
Crash module, for according to the access control system data, floating population's registration data and rental house basis number
According to, and crash with telecom operation quotient data, the people society data prestored in server, using linear regression algorithm and/or gather
Alanysis algorithm carries out multidimensional analysis to floating population, to analyze personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
Detailed description of the invention
The above-mentioned and/or additional aspect and advantage of the embodiment of the present invention are from the description of the embodiment in conjunction with the following figures
It will be apparent and be readily appreciated that, in which:
Fig. 1 is the flow chart of floating population's big data multidimensional analysis method according to a first embodiment of the present invention；
Fig. 2 is the detail flowchart of step S2 in Fig. 1；
Fig. 3 is the structural block diagram of floating population's big data dimensional analytic system according to a second embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no specific meanings.Therefore, " module " can be mixed with " component " or " unit "
Ground is closed to use.
Referring to Fig. 1, floating population's big data multidimensional analysis method that first embodiment of the invention provides, including step S1
~ S3:
S1, acquires floating population's information data, and floating population's information data includes at least access control system data, floating population
Registration data and rental house basic data；
Wherein, access control system data specifically can be the access control system number obtained by the brushing card data for collecting each access control system
According to the discrepancy that can analyze floating population accordingly is regular.Floating population's registration data mainly in departments of government, is such as sent
The data of the registrations such as institute, subdistrict office out can analyze the essential information of floating population's registration accordingly, analyze current census
Total trend, ratio of age, each household register ground population ratio etc..Rental house basic data is that floating population submits when renting a house
Information, including time of renting a house, place of renting a house, can analyze the information such as inhabitation duration data accordingly.Pass through the continuous of data source
Load is capable of forming floating population and manages big data, provides basis for subsequent analysis.
S2, by collected floating population's information data storing to data warehouse, and to described in the data warehouse
Floating population's information data is analyzed and processed, to obtain floating population's development trend information, floating population's development trend
Information includes personnel's trend analysis information, present construction of personnel with analyzing information, source of personnel distributed intelligence, density of personnel analysis letter
Live analysis information, personnel of breath, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis information, human behavior and practise
Used analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, staff size with
Socio-economic development analyzes information, rental house security level and level of rent and analyzes information；
Wherein, referring to Fig. 2, step S2 specifically includes step S21 ~ S25:
S21 establishes the multidimensional analysis library of multidimensional analysis according to subject analysis type；
Wherein, the subject analysis type includes personnel's trend analysis, present construction of personnel analysis, is distributed to source of personnel, Ren Yuanmi
Degree analysis, personnel live analysis, personnel receive pipe rate effectively analyze, rental house star trade off analysis, human behavior habit analyze, people
The analysis of member's degrees of fusion, employment are analyzed with primary, secondary and tertiary industries proportion grading, staff size and socio-economic development, are hired out
Room security level and level of rent are analyzed.
Wherein, personnel's trend analysis refers mainly to analyze the flow tendency of mobile personnel；Present construction of personnel analysis refers to pair
The current working condition of mobile personnel is analyzed；It is distributed to source of personnel and refers mainly to divide the source place of mobile personnel
Analysis；Density of personnel analysis refers mainly to analyze mobile personnel in the density of different regions, specifically can be according to the shape of colour temperature
Formula is analyzed；Personnel live in analyzing and refer mainly to analyze the place of abode of mobile personnel；Personnel receive pipe rate and effectively analyze
It refers mainly to analyze the pipe rate of receiving of mobile personnel；Rental house star trade off analysis refers mainly to the taxi that mobile personnel is lived
The grading system in room；Human behavior habit analysis refers mainly to the habits such as consumption, the trip of mobile personnel and analyzes；Personnel's fusion
The fusion situation that degree analysis is referred mainly to mobile personnel is analyzed；It obtains employment main with primary, secondary and tertiary industries proportion grading
Refer to that the industry being engaged in mobile personnel is analyzed the case where proportion in primary, secondary and tertiary industries；Staff size
It refers mainly to compare and analyze the scale of mobile personnel with current economic social development with socio-economic development analysis；Rental house
The security level and level of rent that security level refers mainly to room rented a house to mobile personnel with level of rent analysis are analyzed.
Finally according to different subject analysis types, the multidimensional analysis library (i.e. model framework) of multidimensional analysis is established.
S22 is established from interim storage area to the ETL program in the multidimensional analysis library, collected floating population's letter
Breath data are stored in the interim storage area；
Wherein, interim storage area, that is, ODS layers.
The parameter configuration of corresponding each subject analysis type is arranged in S23 in ETL program, described is temporarily deposited with establishing
Put area and when multidimensional analysis library between bridging；
S24 reads the parameter configuration in ETL program, is carried out with floating population's information data to the interim storage area
The treatment process of cleaning, conversion, storage, and data are stored into the multidimensional analysis library by treated；
S25, for different subject analysis types, is counted using preset analysis model to treated in multidimensional analysis library
According to being analyzed and processed.
Specifically, step S25 includes:
In multidimensional analysis library, respectively for personnel's trend analysis type, present construction of personnel analysis type, source of personnel ground distributional class
Type, density of personnel analysis type, personnel's inhabitation analysis type, personnel receive the effective analysis type of pipe rate, the comparation and assessment point of rental house star
Analyse type, human behavior habit analysis type, personnel's degrees of fusion analysis type, employment and primary, secondary and tertiary industries ratio point
Type, staff size and socio-economic development analysis type, rental house security level and level of rent analysis type are analysed, using pre-
If analysis model to treated, data are analyzed and processed, preset analysis model may include Clustering Model, even
Connect at least one of analysis model, Eigenvalues analysis model.To accordingly obtain personnel's trend analysis information, present construction of personnel point
Analysis information, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively divide
Analyse information, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment with
Primary, secondary and tertiary industries proportion grading information, staff size and socio-economic development analyze information, rental house security level
Information is analyzed with level of rent.
S3, the Population Trends information that will acquire are sent to front end applications interface in a manner of through figure or report
It is shown.
When it is implemented, a set of application program (APP) interacted with user can be developed, in the population hair got
Then the figure sorted out or report are sent to by exhibition tendency information by Population Trends finish message at figure or report
Application program is shown, to get information about the development trend and changing rule of data.
In addition, as an alternative embodiment, the method also includes:
According to the access control system data, floating population's registration data and the rental house basic data, and and server
In the telecom operation quotient data, the people society data that prestore crash, using linear regression algorithm and/or cluster algorithm convection current
Moving mouth carries out multidimensional analysis, with analyzing personnel's trend analysis information, present construction of personnel analysis information, source of personnel point
Live analysis information, personnel of cloth information, density of personnel analysis information, personnel receive that pipe rate effectively analyzes information, rental house star is commented
Than analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries ratio
Example analysis information, staff size and socio-economic development analysis information, rental house security level and level of rent analyze information.
Wherein, it is crashed by carrying out data with telecom operators, the floating population that can analyze somewhere assembles situation；
Floating population is analyzed in the distribution of three industries, the ratio of floating population and household registration population by crashing with people society data；Knot
Multidimensional analysis can be carried out to floating population by closing linear regression algorithm and/or cluster algorithm.
To sum up, according to floating population's big data multidimensional analysis method provided in this embodiment, first acquisition access control system number
According to floating populations' information datas such as, floating population's registration data and rental house basic datas, pass through the continuous load of data source, energy
It enough forms floating population and manages big data, then by collected floating population's information data storing to data warehouse, and in number
Population information data are moved according to convection current in warehouse to be analyzed and processed, and can obtain floating population's development trend information, flowing people
Mouth development trend information includes personnel's trend analysis information, present construction of personnel with analyzing information, source of personnel distributed intelligence, Ren Yuanmi
Live analysis information, personnel of degree analysis information, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis information, people
Member's behavioural habits analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, people
Member's scale and socio-economic development analysis information, rental house security level and level of rent analyze information, realize floating population
Multidimensional analysis, effective judgement can be made to floating population's sum, household register, flow of personnel trend etc., finally by population development
Tendency information is sent to front end applications interface and is shown, facilitate administrative staff's simple, intuitive in a manner of through figure or report
Ground understands the development trend and changing rule of floating population, guarantees the shared and effective use of all kinds of floating population's information, thus
Floating population's efficiency of management and service level are promoted, promotes the stability and harmony of economic sustainable development and society, is passed through for society
The development of Ji brings the positive benefit in front.
Referring to Fig. 3, based on the same inventive concept, floating population's big data multidimensional point that second embodiment of the invention proposes
Analysis system, comprising:
Information acquisition module 10, for acquiring floating population's information data, floating population's information data includes at least gate inhibition
System data, floating population's registration data and rental house basic data；
Analysis module 20 is stored, is used for collected floating population's information data storing to data warehouse, and in the data
Floating population's information data is analyzed and processed in warehouse, to obtain floating population's development trend information, the flowing
Population Trends information includes personnel's trend analysis information, present construction of personnel with analyzing information, source of personnel distributed intelligence, personnel
Density analysis information, personnel live analysis information, personnel receive pipe rate effectively analyze information, rental house star trade off analysis information,
Human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information,
Staff size and socio-economic development analysis information, rental house security level and level of rent analyze information；
Display module 30 is sent, the Population Trends information for will acquire is sent in a manner of through figure or report
Front end applications interface is shown.
In the present embodiment, the storage analysis module 20 includes:
First establishing unit 21, for establishing the multidimensional analysis library of multidimensional analysis, the subject analysis according to subject analysis type
Type includes personnel's trend analysis, present construction of personnel is analyzed, is distributed to source of personnel, density of personnel is analyzed, personnel's inhabitation analysis, people
Member receive pipe rate effectively analyze, the analysis of rental house star trade off analysis, human behavior habit, the analysis of personnel's degrees of fusion, employment and the
One, second, third industry proportion grading, staff size and socio-economic development analysis, rental house security level and level of rent
Analysis；
Storage unit 22 is established, it is collected described for establishing the ETL program from interim storage area to the multidimensional analysis library
Floating population's information data is stored in the interim storage area；
Second establishes unit 23, for the parameter configuration of corresponding each subject analysis type to be arranged in ETL program, to establish
The interim storage area and when multidimensional analysis library between bridging；
Reading processing unit 24, for reading the parameter configuration in ETL program, with the flowing people to the interim storage area
The treatment process that mouth information data is cleaned, converted, stored, and data are stored to the multidimensional analysis library by treated
In；
Analysis and processing unit 25 is used in multidimensional analysis library, for different subject analysis types, using preset analysis mould
To treated, data are analyzed and processed type.
In the present embodiment, the analysis and processing unit 25 is specifically used for:
In multidimensional analysis library, respectively for personnel's trend analysis type, present construction of personnel analysis type, source of personnel ground distributional class
Type, density of personnel analysis type, personnel's inhabitation analysis type, personnel receive the effective analysis type of pipe rate, the comparation and assessment point of rental house star
Analyse type, human behavior habit analysis type, personnel's degrees of fusion analysis type, employment and primary, secondary and tertiary industries ratio point
Type, staff size and socio-economic development analysis type, rental house security level and level of rent analysis type are analysed, using pre-
If analysis model to treated, data are analyzed and processed, with obtain personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
In the present embodiment, the preset analysis model includes Clustering Model, linking parsing model, Eigenvalues analysis
At least one of model.
In the present embodiment, the system also includes:
The module that crashes 40, for according to the access control system data, floating population's registration data and rental house basis
Data, and crashing with telecom operation quotient data, the people society data prestored in server, using linear regression algorithm and/or
Cluster algorithm carries out multidimensional analysis to floating population, to analyze personnel's trend analysis information, present construction of personnel analysis
Information, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze
Information, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and the
One, second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level with
Level of rent analyzes information.
According to floating population's big data dimensional analytic system provided in this embodiment, information acquisition module first acquires gate inhibition
Floating populations' information datas such as system data, floating population's registration data and rental house basic data, pass through the continuous of data source
Load, is capable of forming floating population and manages big data, then stores analysis module and deposits collected floating population's information data
It stores up to data warehouse, and the dynamic population information data of convection current are analyzed and processed in data warehouse, can obtain floating population's hair
Tendency information is opened up, which includes personnel's trend analysis information, present construction of personnel analyzes information, personnel come
Source live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze information, rental house
Star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first, second, third
Industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and level of rent are analyzed
Information realizes the multidimensional analysis of floating population, can make to floating population's sum, household register, flow of personnel trend etc. effectively
Judgement, finally transmission display module is sent to front end applications circle by Population Trends information in a manner of through figure or report
Face is shown, and is understood the development trend and changing rule of floating population with facilitating administrative staff's simple, intuitive, is guaranteed all kinds of streams
The shared and effective use of dynamic population information promotes economic hold to promote floating population's efficiency of management and service level
Supervention exhibition is stability and harmony with society, brings the positive benefit in front for the development of social economy.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.
The more specific example (non-exhaustive list) of computer-readable medium include the following: there are one or more wirings
Electrical connection section (electronic device), portable computer diskette box (magnetic device), random-access memory (ram), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that: not
A variety of change, modification, replacement and modification can be carried out to these embodiments in the case where being detached from the principle of the present invention and objective, this
The range of invention is defined by the claims and their equivalents.
Claims (10)
1. a kind of floating population's big data multidimensional analysis method characterized by comprising
Floating population's information data is acquired, floating population's information data includes at least access control system data, floating population steps on
The evidence that counts and rental house basic data；
By collected floating population's information data storing to data warehouse, and to the floating population in the data warehouse
Information data is analyzed and processed, and to obtain floating population's development trend information, floating population's development trend information includes
Distributed intelligence, density of personnel analyze information, Ren Yuanju with analyzing information, source of personnel for personnel's trend analysis information, present construction of personnel
It firmly analyzes information, personnel and receives pipe rate and effectively analyze information, rental house star trade off analysis information, human behavior habit analysis letter
Breath, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, staff size and economic society
Analysis on development information, rental house security level and level of rent analyze information；
The Population Trends information that will acquire is sent to front end applications interface and is opened up in a manner of through figure or report
Show.
2. floating population's big data multidimensional analysis method according to claim 1, which is characterized in that it is described will be collected
Floating population's information data storing divides floating population's information data in the data warehouse to data warehouse
The step of analysis processing, specifically includes:
According to subject analysis type, the multidimensional analysis library of multidimensional analysis is established, the subject analysis type includes personnel's trend point
Analysis, present construction of personnel analyze, be distributed to source of personnel, density of personnel analysis, personnel live analyze, personnel receive pipe rate effectively analyze,
Rental house star trade off analysis, the analysis of human behavior habit, the analysis of personnel's degrees of fusion, employment and primary, secondary and tertiary industries ratio
Example analysis, staff size and socio-economic development analysis, rental house security level and level of rent are analyzed；
It establishes from interim storage area to the ETL program in the multidimensional analysis library, collected floating population's information data is deposited
It is placed in the interim storage area；
The parameter configuration of corresponding each subject analysis type is set in ETL program, with establish the interim storage area and when
Bridging between multidimensional analysis library；
The parameter configuration in ETL program is read, cleaned with floating population's information data to the interim storage area,
The treatment process of conversion, storage, and data are stored into the multidimensional analysis library by treated；
In multidimensional analysis library, for different subject analysis types, using preset analysis model to treated data into
Row analysis processing.
3. floating population's big data multidimensional analysis method according to claim 2, which is characterized in that described in multidimensional analysis
In library, for different subject analysis types, using preset analysis model to treated step that data are analyzed and processed
Suddenly it specifically includes:
In multidimensional analysis library, respectively for personnel's trend analysis type, present construction of personnel analysis type, source of personnel ground distributional class
Type, density of personnel analysis type, personnel's inhabitation analysis type, personnel receive the effective analysis type of pipe rate, the comparation and assessment point of rental house star
Analyse type, human behavior habit analysis type, personnel's degrees of fusion analysis type, employment and primary, secondary and tertiary industries ratio point
Type, staff size and socio-economic development analysis type, rental house security level and level of rent analysis type are analysed, using pre-
If analysis model to treated, data are analyzed and processed, with obtain personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
4. floating population's big data multidimensional analysis method according to claim 2 or 3, which is characterized in that described preset
Analysis model includes at least one of Clustering Model, linking parsing model, Eigenvalues analysis model.
5. floating population's big data multidimensional analysis method according to claim 1, which is characterized in that the method is also wrapped
It includes:
According to the access control system data, floating population's registration data and the rental house basic data, and and server
In the telecom operation quotient data, the people society data that prestore crash, using linear regression algorithm and/or cluster algorithm convection current
Moving mouth carries out multidimensional analysis, with analyzing personnel's trend analysis information, present construction of personnel analysis information, source of personnel point
Live analysis information, personnel of cloth information, density of personnel analysis information, personnel receive that pipe rate effectively analyzes information, rental house star is commented
Than analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries ratio
Example analysis information, staff size and socio-economic development analysis information, rental house security level and level of rent analyze information.
6. a kind of floating population's big data dimensional analytic system characterized by comprising
Information acquisition module, for acquiring floating population's information data, floating population's information data is including at least gate inhibition
System data, floating population's registration data and rental house basic data；
Analysis module is stored, is used for collected floating population's information data storing to data warehouse, and in the data bins
Floating population's information data is analyzed and processed in library, to obtain floating population's development trend information, the flowing people
Mouth development trend information includes personnel's trend analysis information, present construction of personnel with analyzing information, source of personnel distributed intelligence, Ren Yuanmi
Live analysis information, personnel of degree analysis information, personnel receive pipe rate and effectively analyze information, rental house star trade off analysis information, people
Member's behavioural habits analysis information, personnel's degrees of fusion analysis information, employment and primary, secondary and tertiary industries proportion grading information, people
Member's scale and socio-economic development analysis information, rental house security level and level of rent analyze information；
Display module is sent, the Population Trends information for will acquire is in a manner of through figure or report, before being sent to
End application interface is shown.
7. floating population's big data dimensional analytic system according to claim 6, which is characterized in that mould is analyzed in the storage
Block includes:
First establishing unit, for establishing the multidimensional analysis library of multidimensional analysis, the subject analysis class according to subject analysis type
Type includes personnel's trend analysis, present construction of personnel is analyzed, is distributed to source of personnel, density of personnel is analyzed, personnel's inhabitation analysis, personnel
Pipe rate of receiving effectively analyzes, the analysis of rental house star trade off analysis, human behavior habit, the analysis of personnel's degrees of fusion, employment with first,
Second, third industry proportion grading, staff size and socio-economic development analysis, rental house security level and level of rent point
Analysis；
Storage unit is established, for establishing the ETL program from interim storage area to the multidimensional analysis library, the collected stream
Dynamic population information data are stored in the interim storage area；
Second establishes unit, for the parameter configuration of corresponding each subject analysis type to be arranged in ETL program, to establish
State interim storage area and when multidimensional analysis library between bridging；
Reading processing unit, for reading the parameter configuration in ETL program, with the floating population to the interim storage area
The treatment process that information data is cleaned, converted, stored, and data are stored into the multidimensional analysis library by treated；
Analysis and processing unit is used in multidimensional analysis library, for different subject analysis types, using preset analysis model
To treated, data are analyzed and processed.
8. floating population's big data dimensional analytic system according to claim 7, which is characterized in that the analysis processing is single
Member is specifically used for:
In multidimensional analysis library, respectively for personnel's trend analysis type, present construction of personnel analysis type, source of personnel ground distributional class
Type, density of personnel analysis type, personnel's inhabitation analysis type, personnel receive the effective analysis type of pipe rate, the comparation and assessment point of rental house star
Analyse type, human behavior habit analysis type, personnel's degrees of fusion analysis type, employment and primary, secondary and tertiary industries ratio point
Type, staff size and socio-economic development analysis type, rental house security level and level of rent analysis type are analysed, using pre-
If analysis model to treated, data are analyzed and processed, with obtain personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
9. floating population's big data dimensional analytic system according to claim 7 or 8, which is characterized in that described preset
Analysis model includes at least one of Clustering Model, linking parsing model, Eigenvalues analysis model.
10. floating population's big data dimensional analytic system according to claim 6, which is characterized in that the system is also wrapped
It includes:
Crash module, for according to the access control system data, floating population's registration data and rental house basis number
According to, and crash with telecom operation quotient data, the people society data prestored in server, using linear regression algorithm and/or gather
Alanysis algorithm carries out multidimensional analysis to floating population, to analyze personnel's trend analysis information, present construction of personnel analysis letter
Breath, source of personnel live analysis information, personnel of distributed intelligence, density of personnel analysis information, personnel receive pipe rate and effectively analyze letter
Breath, rental house star trade off analysis information, human behavior habit analysis information, personnel's degrees of fusion analysis information, employment and first,
Second, third industry proportion grading information, staff size and socio-economic development analysis information, rental house security level and rent
Horizontal analysis information.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399401A (en) * | 2019-07-08 | 2019-11-01 | 武汉东湖大数据交易中心股份有限公司 | Data analysis system and method based on government data |
| CN110418287A (en) * | 2019-07-12 | 2019-11-05 | 重庆市交通规划研究院 | Migrate recognition methods to inhabitants live based on mobile phone signaling |
| CN110516021A (en) * | 2019-08-16 | 2019-11-29 | 衢州学院 | A kind of mobile phone user flowing law analysis method and system based on big data |
| CN112598285A (en) * | 2020-12-23 | 2021-04-02 | 全民认证科技（杭州）有限公司 | Multi-dimensional analysis method and system for big data of floating population |
| CN112801396A (en) * | 2021-02-05 | 2021-05-14 | 厦门市美亚柏科信息股份有限公司 | Method and device for analyzing and predicting population mobility trend based on time link |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103399926A (en) * | 2013-08-05 | 2013-11-20 | 河海大学 | Water conservancy general survey data multidimensional analysis and service system and encapsulation and achieving method thereof |
| CN104077649A (en) * | 2014-05-05 | 2014-10-01 | 北京华博科讯信息技术有限公司 | Method for association analysis of people related information |
| CN107506393A (en) * | 2017-07-28 | 2017-12-22 | 农业部农药检定所 | A kind of agriculture big data model and its in application agriculturally |
-
2019
- 2019-01-21 CN CN201910054394.1A patent/CN109636252A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103399926A (en) * | 2013-08-05 | 2013-11-20 | 河海大学 | Water conservancy general survey data multidimensional analysis and service system and encapsulation and achieving method thereof |
| CN104077649A (en) * | 2014-05-05 | 2014-10-01 | 北京华博科讯信息技术有限公司 | Method for association analysis of people related information |
| CN107506393A (en) * | 2017-07-28 | 2017-12-22 | 农业部农药检定所 | A kind of agriculture big data model and its in application agriculturally |
Non-Patent Citations (2)
| Title |
|---|
| 吴晓: "《我国大城市流动人口居住空间解析-面向农民工的实证研究》", 31 October 2010, 东南大学出版社 * |
| 高伟: ""流动人口信息管理系统的设计与实现"", 《优秀硕士论文集》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399401A (en) * | 2019-07-08 | 2019-11-01 | 武汉东湖大数据交易中心股份有限公司 | Data analysis system and method based on government data |
| CN110418287A (en) * | 2019-07-12 | 2019-11-05 | 重庆市交通规划研究院 | Migrate recognition methods to inhabitants live based on mobile phone signaling |
| CN110516021A (en) * | 2019-08-16 | 2019-11-29 | 衢州学院 | A kind of mobile phone user flowing law analysis method and system based on big data |
| CN112598285A (en) * | 2020-12-23 | 2021-04-02 | 全民认证科技（杭州）有限公司 | Multi-dimensional analysis method and system for big data of floating population |
| CN112801396A (en) * | 2021-02-05 | 2021-05-14 | 厦门市美亚柏科信息股份有限公司 | Method and device for analyzing and predicting population mobility trend based on time link |
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