CN107038608A - A kind of big data analysis system - Google Patents

A kind of big data analysis system Download PDF

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Publication number
CN107038608A
CN107038608A CN201710267379.6A CN201710267379A CN107038608A CN 107038608 A CN107038608 A CN 107038608A CN 201710267379 A CN201710267379 A CN 201710267379A CN 107038608 A CN107038608 A CN 107038608A
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module
data
database
easy
mark
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李长青
孙鹏
王丽霞
李志文
董艳华
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Beijing Hengguan Network Data Treatment Co Ltd
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Beijing Hengguan Network Data Treatment Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0255Targeted advertisements based on user history
    • G06Q30/0256User search
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
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  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides a kind of big data analysis system, including collect and survey system and data storage system;The collection and analysis system is provided with search engine, the first mark module, filtration system, ephemeral data storage module, data input module, comparing module, filtering module, data acquisition module, collector, database, the webserver, computing module, contrast module, storm topological structures framework, operating system, transfers module, advertising database and client;The search engine is the beginning port of collection and analysis system;First mark module is arranged on the outlet line of search engine data;The search engine that the present invention is announced is easy to user to input keyword, carries out relevant information search;Data acquisition module collects the keyword of search, is easy to subsequent treatment;The data of collection are converted to computer language by collector, are easy to computer system to be handled;Each database is used for correspondence and deposits the data for being marked with distinct symbols.

Description

A kind of big data analysis system
Technical field
The present invention relates to a kind of data analysis system, specifically a kind of big data analysis system.
Background technology
Network Development is very fast in recent years, also more and more using the people of internet, people carried out using internet it is daily When movable, such as net purchase, seeing program, substantial amounts of data can be produced, these data are for e-commerce website or mutually It is very valuable for the website of networked media class, using the Treatment Analysis of these big datas, the business valency of preciousness can be obtained Value, may apply in many fields, the appearance of big data, is triggering technology and Business Change deep in global range, Technically, big data is changed the usual manner that information is extracted among data, in search engine and online advertisement In the machine learning that plays an important role, it is considered to be big data plays the field of true value, so in the data of magnanimity The modes such as behavior, the custom of people are analyzed in statistics, so as at utmost help advertiser to find accurate potential customers, are improved The effect of advertisement.
The content of the invention
It is an object of the invention to provide a kind of big data analysis system, with asking for solving to propose in above-mentioned background technology Topic.
To achieve the above object, the present invention provides following technical scheme:
A kind of big data analysis system, including collect and survey system and data storage system;The collection and analysis system is set It is equipped with search engine, the first mark module, filtration system, ephemeral data storage module, data input module, comparing module, mistake Filter module, data acquisition module, collector, database, the webserver, computing module, contrast module, storm topology knots Framework structure, operating system, transfer module, advertising database and client;The search engine is the beginning of collection and analysis system Port, search engine is easy to user to input keyword, carries out relevant information search;First mark module is arranged on search On the outlet line of engine data, the data markers one that the first mark module is used to export each network ip address are special Symbol;The filtration system is arranged on the data output end of the first mark module, and filtration system is used to hinder to search during personal search The flame data of rope;The ephemeral data storage module is connected to the data output end of the first mark module, ephemeral data Storage module is used for the of short duration data deposited and passed through, and is easy to analyze data;The data input module is arranged on filtering The input port of system, data input module is easy to staff to input the flame data for needing to filter in advance;The ratio Module is connected between ephemeral data storage module and data input module, comparing module is used for ephemeral data storage module Contrasted with the data in data input module, so as to mark the flame data in ephemeral data storage module;Institute State that filtering module is arranged at the data-out port of comparing module and the output end of filtering module is connected to data acquisition module, Filtering module is used to fall the flame data filtering marked in comparing module, it is to avoid subsequent data analysis produces problem;Institute State data acquisition module to be arranged at the data-out port of the first mark module, data acquisition module receives the keyword of search Collection gets up, and is easy to subsequent treatment;The collector is arranged at the data-out port of data acquisition module, and collector will The data of collection are converted to computer language, are easy to computer system to be handled;The quantity of the database corresponds to network At the quantity of IP address, the data-out port in collector, each database is used for correspondence storage and is marked with different symbols Number data;The database selection is Mysql databases, and Mysql databases are open strong, are easy to staff to change at any time Data in database, it is to avoid flame is excessive;The webserver is arranged between database, and the webserver is used for Each database is linked together, is easy to the tidal data recovering processing of each database, then is fed back in each database, is saved About processing time;The webserver is Apache Server, and Apache Server is easy to the external world and database is conducted interviews Operation, is easy to manager to carry out otherwise use to the data in database;The computing module is arranged on network service At the data-out port of device, computing module is using mean value calculation rule, the number of times that keyword is occurred divided by correspondence number of days, Numerical value is obtained, formula is L=N/T, wherein L is ratio digital, N is keyword occurrence number, and T is to be crossed after occurring from first time Number of days;The contrast module is arranged on the data-out port of computing module, and contrast module is used to contrasting each of every kind of mark The ratio calculated of keyword, exports the keyword of maximum ratio;The storm topological structures framework is arranged on the number of contrast module At output port, storm topological structures framework is made a mistake for correcting contrast module during correction data, and it is entered Row correction;The operating system is arranged at another data-out port of the webserver, and operating system is used for from each The data after treating are transferred in database;The operating system selection is linux system, and linux system is easy to different clients Accessed, be independent of each other with respective access rights;The module of transferring is arranged at the output port of operating system, transfers module Data according to being extracted in operating system transfer the advertisement of correlation, send to corresponding network ip address, realize hommization Advertisement pushing;The advertising database is connected with transferring module, and advertising database is easy to transfer module calls corresponding Advertisement;The client is arranged at the data-out port for transferring module, network ip address one client of correspondence, just Corresponding advertisement pushing is obtained in each client;It is described;The data storage system is provided with database, the second mark mould Block, the first memory module, the second memory module and accumulator module;Second mark module is arranged on the network of each database Server feedback port, the second mark module marks treated data once again, be easy to it is untreated in database Data are separated;First memory module is arranged in each database, and the first memory module is used to deposit untreated data; Second memory module is arranged in each database, and the second memory module is used to deposit processed data;It is described tired Plus module is arranged at the first memory module, accumulator module is used for the number of times for counting keyword appearance, and it is small often to cross 24 When, it is that number of days T in formula L=N/T plus one there is provided the degree of accuracy of data analysis.
It is used as further scheme of the invention:The operating system selection is linux system.
It is used as further scheme of the invention:The webserver is Apache Server.
It is used as further scheme of the invention:The database selection is Mysql databases.
Compared with prior art, the beneficial effects of the invention are as follows:
The search engine that the present invention is announced is easy to user to input keyword, carries out relevant information search;First mark mould Block is used for the special symbol of data markers one for exporting each network ip address;When filtration system is used to hinder personal search The flame data of search;Ephemeral data storage module is used for the of short duration data deposited and passed through, and is easy to analyze data; Data input module is easy to staff to input the flame data for needing to filter in advance;Comparing module is used for ephemeral data Data in storage module and data input module are contrasted, so as to mark the flame in ephemeral data storage module Data;Filtering module is used to fall the flame data filtering marked in comparing module, it is to avoid subsequent data analysis is produced and asked Topic;Data acquisition module collects the keyword of search, is easy to subsequent treatment;Collector is converted to the data of collection Computer language, is easy to computer system to be handled;Each database is used for correspondence and deposits the data for being marked with distinct symbols; Mysql databases are open strong, are easy to staff to change the data in database at any time, it is to avoid flame is excessive;Network Server is used to link together each database, is easy to the tidal data recovering processing of each database, then feed back to each In database, processing time is saved;Apache Server is easy to the extraneous operation that conducted interviews to database, is easy to manager's logarithm Otherwise use is carried out according to the data in storehouse;Computing module is using mean value calculation rule, the number of times that keyword is occurred Divided by correspondence number of days, numerical value is obtained, formula is L=N/T, wherein L is ratio digital, N is keyword occurrence number, and T is from the The number of days crossed after once occurring;Contrast module is used for the ratio calculated for contrasting each keyword of every kind of mark, exports high specific The keyword of value;Storm topological structures framework is made a mistake for correcting contrast module during correction data, and it is carried out Correction;Operating system is used to transfer the data after treating from each database;Linux system is easy to different clients with respective Access rights access, be independent of each other;The advertisement that module transfers correlation according to the data extracted in operating system is transferred, is sent To corresponding network ip address, the advertisement pushing of hommization is realized;Advertising database is easy to transfer module calls corresponding Advertisement;One network ip address one client of correspondence, is easy to each client to obtain corresponding advertisement pushing;Second mark mould Block marks treated data once again, is easy to separate with untreated data in database;First memory module is used for Deposit untreated data;Second memory module is used to deposit processed data;Accumulator module goes out for counting keyword Existing number of times, and often cross twenty four hours, is that number of days T in formula L=N/T plus one there is provided the degree of accuracy of data analysis;This Rationally, favorable working performance, operation function is strong for the design principle of invention, the characteristics of fully presenting modernization invention, development prospect It is very good.
Brief description of the drawings
Fig. 1 is the schematic diagram of big data analysis system.
Fig. 2 is the schematic diagram of data storage system in big data analysis system.
Fig. 3 is the schematic diagram of filtration system in big data analysis system.
Embodiment
The technical scheme of this patent is described in more detail with reference to embodiment.
Fig. 1-3, a kind of big data analysis system are referred to, including collects and surveys system and data storage system;It is described to receive Set analysis system be provided with search engine, the first mark module, filtration system, ephemeral data storage module, data input module, Comparing module, filtering module, data acquisition module, collector, database, the webserver, computing module, contrast module, Storm topological structures framework, operating system, transfer module, advertising database and client;The search engine is collection and analysis The beginning port of system, search engine is easy to user to input keyword, carries out relevant information search;First mark module On the outlet line for being arranged on search engine data, the first mark module is used for the data markers for exporting each network ip address One special symbol;The filtration system is arranged on the data output end of the first mark module, and filtration system is used to hinder individual The flame data that people searches for when searching for;The ephemeral data storage module is connected to the data output of the first mark module End, ephemeral data storage module is used for the of short duration data deposited and passed through, and is easy to analyze data;The data input module The input port of filtration system is arranged on, data input module is easy to staff to input the flame number for needing to filter in advance According to;The comparing module is connected between ephemeral data storage module and data input module, and comparing module is used for nonce Contrasted according to the data in storage module and data input module, so as to mark the bad letter in ephemeral data storage module Cease data;The filtering module is arranged at the data-out port of comparing module and the output end of filtering module is connected to data Acquisition module, filtering module is used to fall the flame data filtering marked in comparing module, it is to avoid subsequent data analysis is produced Raw problem;The data acquisition module is arranged at the data-out port of the first mark module, and data acquisition module will be searched for Keyword collect, be easy to subsequent treatment;The collector is arranged at the data-out port of data acquisition module, The data of collection are converted to computer language by collector, are easy to computer system to be handled;The quantity of the database Corresponding to the quantity of network ip address, at the data-out port in collector, each database is used for correspondence and deposits mark Note has the data of distinct symbols;The database selection is Mysql databases, and Mysql databases are open strong, are easy to work people Member changes the data in database at any time, it is to avoid flame is excessive;The webserver is arranged between database, network Server is used to link together each database, is easy to the tidal data recovering processing of each database, then feed back to each In database, processing time is saved;The webserver is Apache Server, and Apache Server is easy to the external world to data Storehouse conducts interviews operation, is easy to manager to carry out otherwise use to the data in database;The computing module is set At the data-out port of the webserver, computing module is removed the number of times that keyword occurs using mean value calculation rule With correspondence number of days, numerical value is obtained, formula is L=N/T, wherein L is ratio digital, N is keyword occurrence number, and T is from first The number of days crossed after secondary appearance;The contrast module is arranged on the data-out port of computing module, and contrast module is used to contrast every The ratio calculated of each keyword of mark is planted, the keyword of maximum ratio is exported;The storm topological structures framework is arranged on At the data-out port of contrast module, storm topological structures framework is sent out for correcting contrast module during correction data Raw mistake, is corrected to it;The operating system is arranged at another data-out port of the webserver, operation system Unite for transferring the data after treating from each database;The operating system selection is linux system, linux system It is easy to different clients to be accessed with respective access rights, is independent of each other;It is described to transfer the output end that module is arranged on operating system Mouthful place, transfer the advertisement that module transfers correlation according to the data extracted in operating system, and transmission is to corresponding network IP Location, realizes the advertisement pushing of hommization;The advertising database is connected with transferring module, and advertising database is easy to transfer module Transfer corresponding advertisement;The client is arranged at the data-out port for transferring module, a network ip address correspondence One client, is easy to each client to obtain corresponding advertisement pushing;It is described;The data storage system is provided with data Storehouse, the second mark module, the first memory module, the second memory module and accumulator module;Second mark module is arranged on often The webserver feedback port of individual database, the second mark module marks treated data once again, is easy to and number Separated according to untreated data in storehouse;First memory module is arranged in each database, and the first memory module is used to deposit Put untreated data;Second memory module is arranged in each database, and the second memory module is used to deposit processed The data crossed;The accumulator module is arranged at the first memory module, and accumulator module is used for the number of times for counting keyword appearance, and And twenty four hours is often crossed, it is that number of days T in formula L=N/T plus one there is provided the degree of accuracy of data analysis.
The better embodiment to this patent is explained in detail above, but this patent is not limited to above-mentioned embodiment party , can also be on the premise of this patent objective not be departed from formula, the knowledge that one skilled in the relevant art possesses Make a variety of changes.

Claims (4)

1. a kind of big data analysis system, including collect and survey system and data storage system;Its feature is in described to collect and survey System is provided with search engine, the first mark module, filtration system, ephemeral data storage module, data input module, comparison mould Block, filtering module, data acquisition module, collector, database, the webserver, computing module, contrast module, storm are opened up Flutter structure framework, operating system, transfer module, advertising database and client;The search engine is collection and analysis system Start port, search engine is easy to user to input keyword, carries out relevant information search;First mark module is arranged on On the outlet line of search engine data, the first mark module is used for one spy of data markers for exporting each network ip address Other symbol;The filtration system is arranged on the data output end of the first mark module, and filtration system is used to hinder personal search When the flame data searched for;The ephemeral data storage module is connected to the data output end of the first mark module, temporarily Data storage module is used for the of short duration data deposited and passed through, and is easy to analyze data;The data input module is arranged on The input port of filtration system, data input module is easy to staff to input the flame data for needing to filter in advance;Institute State comparing module to be connected between ephemeral data storage module and data input module, comparing module is used to deposit ephemeral data Data in module and data input module are contrasted, so as to mark the flame number in ephemeral data storage module According to;The filtering module is arranged at the data-out port of comparing module and the output end of filtering module is connected to data acquisition Module, filtering module is used to fall the flame data filtering marked in comparing module, it is to avoid subsequent data analysis is produced and asked Topic;The data acquisition module is arranged at the data-out port of the first mark module, and data acquisition module is by the pass of search Keyword is collected, and is easy to subsequent treatment;The collector is arranged at the data-out port of data acquisition module, compiling The data of collection are converted to computer language by module, are easy to computer system to be handled;The quantity correspondence of the database At the quantity of network ip address, the data-out port in collector, each database is used for correspondence storage and is marked with The data of distinct symbols;Database selection is Mysql databases, and Mysql databases are open strong, be easy to staff with Data in Shi Xiugai databases, it is to avoid flame is excessive;The webserver is arranged between database, network service Device is used to link together each database, is easy to the tidal data recovering processing of each database, then feed back to each data In storehouse, processing time is saved;The webserver is Apache Server, and Apache Server is easy to the external world and database is entered Row accesses operation, is easy to manager to carry out otherwise use to the data in database;The computing module is arranged on net At the data-out port of network server, computing module is using mean value calculation rule, number of times that keyword is occurred divided by right Number of days is answered, numerical value is obtained, formula is L=N/T, wherein L is ratio digital, N is keyword occurrence number, and T is to go out from first time The number of days now crossed afterwards;The contrast module is arranged on the data-out port of computing module, and contrast module is used to contrast every kind of mark The ratio calculated of each keyword of note, exports the keyword of maximum ratio;The storm topological structures framework is arranged on contrast At the data-out port of module, for correcting contrast module mistake occurs during correction data for storm topological structures framework By mistake, it is corrected;The operating system is arranged at another data-out port of the webserver, and operating system is used In transferred from each database it is treated after data;The operating system selection is linux system, and linux system is easy to Different clients are accessed with respective access rights, are independent of each other;The module of transferring is arranged at the output port of operating system, The advertisement that module transfers correlation according to the data extracted in operating system is transferred, is sent to corresponding network ip address, it is real The advertisement pushing of existing hommization;The advertising database is connected with transferring module, and advertising database is easy to transfer module calls Corresponding advertisement;The client is arranged at the data-out port for transferring module, a network ip address correspondence one Client, is easy to each client to obtain corresponding advertisement pushing;It is described;The data storage system is provided with database, Two mark modules, the first memory module, the second memory module and accumulator module;Second mark module is arranged on each data The webserver feedback port in storehouse, the second mark module marks treated data once again, be easy to in database Untreated data are separated;First memory module is arranged in each database, and the first memory module, which is used to deposit, not to be located The data of reason;Second memory module is arranged in each database, and the second memory module is used to deposit processed number According to;The accumulator module is arranged at the first memory module, and accumulator module is used for the number of times for counting keyword appearance, and often mistake Twenty four hours, is that number of days T in formula L=N/T plus one there is provided the degree of accuracy of data analysis.
2. big data analysis system according to claim 1, it is characterised in that the operating system selection is Linux systems System.
3. big data analysis system according to claim 1, it is characterised in that the webserver services for Apache Device.
4. big data analysis system according to claim 1, it is characterised in that the database selection is Mysql data Storehouse.
CN201710267379.6A 2017-04-21 2017-04-21 A kind of big data analysis system Pending CN107038608A (en)

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CN114443655A (en) * 2022-01-18 2022-05-06 上海联数物联网有限公司 Point location distance calculation system and method for equipment of Internet of things

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Application publication date: 20170811