CN105427033A - Personal integrity system based on big data - Google Patents
Personal integrity system based on big data Download PDFInfo
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- CN105427033A CN105427033A CN201510760900.0A CN201510760900A CN105427033A CN 105427033 A CN105427033 A CN 105427033A CN 201510760900 A CN201510760900 A CN 201510760900A CN 105427033 A CN105427033 A CN 105427033A
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Abstract
The invention discloses a personal integrity system based on big data. The personal integrity system comprises an information acquisition sub-system, a scoring sub-system and a front-end app display sub-system, wherein the information acquisition sub-system, the scoring sub-system and the front-end app display sub-system are connected with one another; the information acquisition sub-system comprises a credit information system of Central Bank, an educational system of Ministry of Education, a household registration system of Ministry of Public Security, an evaluation system of a third-party mechanism and a data input and output module; and the scoring sub-system comprises a scoring system and a computing system. According to the personal integrity system, data of a person to be evaluated are acquired from an interface of the personal integrity system, multidimensional analysis and deep data mining are conducted on large-scale data according to corresponding technologies, weighted analysis is conducted on useful data via a constructed mathematical model, and data obtained after analysis are saved in a database and are invoked via an APP, so that accurate personal integrity evaluation is provided for a user.
Description
Technical field
The present invention relates to large data technique field, particularly relate to a kind of personal integrity system based on large data.
Background technology
Sincerity is traditional virtue of the Chinese nation, but instantly, the frequency that non-honest people, non-honest thing occur is more and more higher, and cause tremendous influence to the life of people, therefore the foundation of citizen's Credit Information System seems extremely urgent.
In prior art, the credit investigation system of the People's Bank sets up Credit Information System to there being the client of business dealing, for other banks provide credit reference.The Ministry of Public Security sets up household register system to each citizen and sets up criminal record archives, and the Ministry of Education sets up educational archive to each educatee, and other non-government institutions also set up the archives material of related fields to corresponding individuality.In practical operation, each big bank can provide debt-credit service according to credit investigation system, and the Ministry of Railways can realize system of real name by household register system, and public security bureau can be pursued and captured an escaped prisoner by internet, and the Ministry of Education can realize entering a higher school etc. by archive of student.
The shortcoming of prior art can only assess individual's certain aspect state current for the data gathered, and can not to assessing a people on the whole.Also have prior art in the face of large enterprises or administrative organization, point-to-pointly can only can not realize sincere assessment in local reference.
Large data technique is science and technology novel in recent years, and it is applied to all trades and professions of society gradually.Under the framework of large data, useful data are covered under a large amount of data, only have by these data by data bleaching, cleaning, then sort out useful data.By to the assessment of useful data analysis, draw the data oneself wanted.But also do not apply the scheme that large data technique sets up personal integrity system at present,
Therefore, those skilled in the art is devoted to develop a kind of personal integrity system based on large data, to solve the deficiencies in the prior art.
Summary of the invention
Because the above-mentioned defect of prior art, technical matters to be solved by this invention is to provide a kind of personal integrity system based on large data, by collect data that relevant information described in bank reference system information, public security bureau's personal information, Bureau of Education and third party non-government institution provide in addition sample collection, import analyze, the excavation of valid data, modeling scoring, set up the large data Credit Information System of individual, to solve the deficiencies in the prior art.
For achieving the above object, the invention provides a kind of personal integrity system based on large data, it is characterized in that: comprise information acquisition subsystem, scoring subsystem, front end app shows subsystem, described information acquisition subsystem, scoring subsystem, front end app display subsystem are interconnected; Described information acquisition subsystem comprises the input of Central Bank's credit investigation system, Ministry of Education's educational system, Ministry of Public Security's household register system, third-party institution's evaluating system and data and data outputting module; Described scoring subsystem comprises points-scoring system and computing system.
Above-mentioned a kind of personal integrity system based on large data, is characterized in that: described points-scoring system is the score-system built based on the personal information credibility of evaluation object, economic activity quality, life track compatible degree, schooling, mass participation, human connection credibility.
Above-mentioned a kind of personal integrity system based on large data, it is characterized in that: described points-scoring system is divided into following scoring sport: the personal information credibility of object, economic activity quality, event trace compatible degree, schooling, mass participation, human connection credibility, and these scoring sports are endowed different weights again respectively.
Above-mentioned a kind of personal integrity system based on large data, is characterized in that: described computing system to calculate by respective weights the personal information credibility of object, economic activity quality, event trace compatible degree, schooling, mass participation, human connection credibility according to points-scoring system and draws the computing module of synthesis result.
Above-mentioned a kind of personal integrity system based on large data, is characterized in that: described front end app display system carrys out the data of the relevant loyalty information of calling data storehouse individual by app, and divides index to show by visualization view or histogram.
Based on a personal integrity system for large data, it is characterized in that, its operating process comprises the following steps:
The access of S1, relevant interface, and collect data;
S2, set up relational data model;
S3, according to data model analysis calculate, make and appraising in advance;
S4, be stored on database server by appraising in advance;
S5, set up app, the data on the server of called data storehouse.
Above-mentioned a kind of personal integrity system based on large data, it is characterized in that, the access interface of described step S1 collect that Central Bank's collage-credit data of individual, the relevant household register information of the Ministry of Public Security, the relevant education resume of the Ministry of Education and the third-party institution provide respectively as work, marriage relevant information.
Above-mentioned a kind of personal integrity system based on large data, is characterized in that: described step S5 inputs the ID (identity number) card No. of relevant people, just can data on the server of called data storehouse, for enterprise or personal assessment the other side provide foundation.
The invention has the beneficial effects as follows:
The present invention collects the interface data of evaluation object Credit Information System, and by relevant art, the analysis of various dimensions and deep data mining ability are carried out to large-scale data, and useful data are weighted analysis under the mathematical model built, be stored in database, by the data in APP calling data storehouse by analyzing the data drawn.To sum up, the present invention is based on the prerequisite exploitation of large data, the algorithm of the large data of all Information Pull gathered effectively is processed, for user provides personal integrity assessment accurately.
Be described further below with reference to the technique effect of accompanying drawing to design of the present invention, concrete structure and generation, to understand object of the present invention, characteristic sum effect fully.
Accompanying drawing explanation
Fig. 1 is the personal integrity system global structure block diagram of large data of the present invention;
Fig. 2 is information acquisition subsystem structured flowchart of the present invention;
Fig. 3 is scoring subsystem structured flowchart of the present invention;
Fig. 4 is workflow diagram of the present invention.
Embodiment
As shown in Figure 1, 2, 3, a kind of personal integrity system based on large data, it is characterized in that: comprise information acquisition subsystem, scoring subsystem, front end app shows subsystem, described information acquisition subsystem, scoring subsystem, front end app display subsystem are interconnected; Described information acquisition subsystem comprises the input of Central Bank's credit investigation system, Ministry of Education's educational system, Ministry of Public Security's household register system, third-party institution's evaluating system and data and data outputting module; Described scoring subsystem comprises points-scoring system and computing system.
In the present embodiment, described points-scoring system is the score-system built based on the personal information credibility of evaluation object, economic activity quality, life track compatible degree, schooling, mass participation, human connection credibility.
In the present embodiment, described points-scoring system is divided into following scoring sport: the personal information credibility of object, economic activity quality, event trace compatible degree, schooling, mass participation, human connection credibility, and these scoring sports are endowed different weights again respectively, then with gather information for source data, substitute into computing system and carry out computing, automatically calculated the score of object by the software of native system, and gone privacy.
In the present embodiment, described computing system to calculate by respective weights the personal information credibility of object, economic activity quality, event trace compatible degree, schooling, mass participation, human connection credibility according to points-scoring system and draws the computing module of synthesis result.
In the present embodiment, described front end app display system carrys out the data of the relevant loyalty information of calling data storehouse individual by app, and divides index to show by visualization view or histogram.
As shown in Figure 4, a kind of personal integrity system based on large data, it is characterized in that, its operating process comprises the following steps:
The access of S1, relevant interface, and collect data;
S2, set up relational data model;
S3, according to data model analysis calculate, make and appraising in advance;
S4, be stored on database server by appraising in advance;
S5, set up app, the data on the server of called data storehouse.
In the present embodiment, the access interface of described step S1 collect that Central Bank's collage-credit data of individual, the relevant household register information of the Ministry of Public Security, the relevant education resume of the Ministry of Education and the third-party institution provide respectively as work, marriage relevant information.
In the present embodiment, described step S5 inputs the ID (identity number) card No. of relevant people, just can data on the server of called data storehouse, for enterprise or personal assessment the other side provide foundation.
During use, first the identity ID of native system evaluation object is verified, within the time correlation time, sampling analysis draws related data and building database, then by large data operation instrument, screening system goes out its mainly relevant sincere characteristic sum subject activity track etc., and useful data are weighted analysis under the mathematical model built, and then described data message is output into tables of data and Visual Chart in data outputting module and is stored in database.Finally, displayed by the data in APP calling data storehouse.
The present invention is based on the foundation of the personal integrity system under large data, foundation can be provided for the sincerity of enterprise or personal assessment related personnel.Thus promoting individual's attention prestige, everybody honors credibility, and for harmonious society creates fine tomorrow, again lights U.S. of the tradition of the Chinese nation.
More than describe preferred embodiment of the present invention in detail.Should be appreciated that those of ordinary skill in the art just design according to the present invention can make many modifications and variations without the need to creative work.Therefore, all technician in the art, all should by the determined protection domain of claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (8)
1. the personal integrity system based on large data, it is characterized in that: comprise information acquisition subsystem (1), scoring subsystem (2), front end app display subsystem (3), described information acquisition subsystem (1), scoring subsystem (2), front end app show subsystem (3) and are interconnected; Described information acquisition subsystem (1) comprises Central Bank's credit investigation system (11), Ministry of Education's educational system (12), Ministry of Public Security's household register system (13), third-party institution's evaluating system (14) and data input and data outputting module (15); Described scoring subsystem (2) comprises points-scoring system (21) and computing system (22).
2. a kind of personal integrity system based on large data as claimed in claim 1, is characterized in that: described points-scoring system (21) is the score-system built based on the personal information credibility of evaluation object, economic activity quality, life track compatible degree, schooling, mass participation, human connection credibility.
3. a kind of personal integrity system based on large data as claimed in claim 1, it is characterized in that: described points-scoring system (21) is divided into following scoring sport: the personal information credibility of object, economic activity quality, event trace compatible degree, schooling, mass participation, human connection credibility, and these scoring sports are endowed different weights again respectively.
4. a kind of personal integrity system based on large data as claimed in claim 1, is characterized in that: described computing system (22) to calculate by respective weights the personal information credibility of object, economic activity quality, event trace compatible degree, schooling, mass participation, human connection credibility according to points-scoring system (21) and draws the computing module of synthesis result.
5. a kind of personal integrity system based on large data as claimed in claim 1, it is characterized in that: the data of the relevant loyalty information of calling data storehouse individual are carried out by app in described front end app display system (3), and divide index to show by visualization view or histogram.
6. a kind of personal integrity system based on large data as claimed in claim 1, it is characterized in that, its operating process comprises the following steps:
The access of S1, relevant interface, and collect data;
S2, set up relational data model;
S3, according to data model analysis calculate, make and appraising in advance;
S4, be stored on database server by appraising in advance;
S5, set up app, the data on the server of called data storehouse.
7. a kind of personal integrity system based on large data as claimed in claim 6, it is characterized in that, the access interface of described step S1 collect that Central Bank's collage-credit data of individual, the relevant household register information of the Ministry of Public Security, the relevant education resume of the Ministry of Education and the third-party institution provide respectively as work, marriage relevant information.
8. a kind of personal integrity system based on large data as claimed in claim 6, is characterized in that: described step S5 inputs the ID (identity number) card No. of relevant people, just can data on the server of called data storehouse, for enterprise or personal assessment the other side provide foundation.
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| CN201510760900.0A CN105427033A (en) | 2015-11-10 | 2015-11-10 | Personal integrity system based on big data |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107835247A (en) * | 2017-11-08 | 2018-03-23 | 中国科学技术大学 | A kind of credit accreditation, safeguards system and method |
| WO2018157391A1 (en) * | 2017-03-03 | 2018-09-07 | 深圳市博信诺达经贸咨询有限公司 | Big-data enterprise evaluation method and system |
| CN108595553A (en) * | 2018-04-10 | 2018-09-28 | 红云红河烟草(集团)有限责任公司 | A kind of industrial number based on relevant database adopts time series data compression storage and decompression querying method |
| CN110232081A (en) * | 2019-05-28 | 2019-09-13 | 浙江华坤道威数据科技有限公司 | A kind of business data consultative service system based on big data |
| CN110969333A (en) * | 2018-09-30 | 2020-04-07 | 北京国双科技有限公司 | User behavior data processing method and device |
| CN117421428A (en) * | 2023-10-31 | 2024-01-19 | 中国人民解放军海军大连舰艇学院 | Method and system for evaluating and analyzing paper publication integrity based on complete journal library |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018157391A1 (en) * | 2017-03-03 | 2018-09-07 | 深圳市博信诺达经贸咨询有限公司 | Big-data enterprise evaluation method and system |
| CN107835247A (en) * | 2017-11-08 | 2018-03-23 | 中国科学技术大学 | A kind of credit accreditation, safeguards system and method |
| CN108595553A (en) * | 2018-04-10 | 2018-09-28 | 红云红河烟草(集团)有限责任公司 | A kind of industrial number based on relevant database adopts time series data compression storage and decompression querying method |
| CN108595553B (en) * | 2018-04-10 | 2022-02-08 | 红云红河烟草(集团)有限责任公司 | Industrial data acquisition time sequence data compression storage and decompression query method based on relational database |
| CN110969333A (en) * | 2018-09-30 | 2020-04-07 | 北京国双科技有限公司 | User behavior data processing method and device |
| CN110232081A (en) * | 2019-05-28 | 2019-09-13 | 浙江华坤道威数据科技有限公司 | A kind of business data consultative service system based on big data |
| CN117421428A (en) * | 2023-10-31 | 2024-01-19 | 中国人民解放军海军大连舰艇学院 | Method and system for evaluating and analyzing paper publication integrity based on complete journal library |
| CN117421428B (en) * | 2023-10-31 | 2024-05-17 | 中国人民解放军海军大连舰艇学院 | Method and system for evaluating and analyzing paper publication integrity based on complete journal library |
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Application publication date: 20160323 |